Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review
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[1] Chelsea Kapp. The use of a personal fitness device in conjunction with online social networking as an effective delivery system for occupational therapy community practice to enhance an individual's personal occupation and self-efficacy , 2011 .
[2] L. Lyzwinski,et al. A Systematic Review and Meta-Analysis of Mobile Devices and Weight Loss with an Intervention Content Analysis , 2014, Journal of personalized medicine.
[3] M. Binks,et al. The relationships of the psychological influence of food and perceived barriers to lifestyle change to body mass index and to utilization of online weight loss tools , 2011 .
[4] Kimberley McCallum. Facebook me : the utility of social networking sites in increasing social support for exercise programs , 2010 .
[5] Derrick Mears,et al. Technology in Physical Education Article #6 in a 6-Part Series: Physical Activity Monitoring: Gadgets and Uses , 2010 .
[6] J. Haines,et al. Healthy Habits, Happy Homes: methods and baseline data of a randomized controlled trial to improve household routines for obesity prevention. , 2012, Preventive medicine.
[7] Jan-Eric Litton,et al. Estimation of Physical Activity Levels Using Cell Phone Questionnaires: A Comparison With Accelerometry for Evaluation of Between-Subject and Within-Subject Variations , 2011, Journal of medical Internet research.
[8] Lora E Burke,et al. Mobile applications for weight management: theory-based content analysis. , 2013, American journal of preventive medicine.
[9] M. Perugini,et al. Can the effects of implementation intentions on exercise be enhanced using text messages? , 2009, Psychology & health.
[10] K. Steinbeck,et al. Large and forgotten in rural Australia: assessment, attitudes and possible approaches to losing weight in young adult males , 2014, BMC Public Health.
[11] Deborah F Tate,et al. Weight loss social support in 140 characters or less: use of an online social network in a remotely delivered weight loss intervention , 2013, Translational behavioral medicine.
[12] E. L. Donaldson,et al. A text message based weight management intervention for overweight adults. , 2014, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.
[13] David W. McDonald,et al. Barriers to Physical Activity: A Study of Self-Revelation in an Online Community , 2011, Journal of Medical Systems.
[14] David S. Ebert,et al. An Overview of the Technology Assisted Dietary Assessment Project at Purdue University , 2010, 2010 IEEE International Symposium on Multimedia.
[15] Tammy Toscos,et al. Encouraging physical activity in teens Can technology help reduce barriers to physical activity in adolescent girls? , 2008, 2008 Second International Conference on Pervasive Computing Technologies for Healthcare.
[16] Qian He,et al. On11: an activity recommendation application to mitigate sedentary lifestyle , 2014, WPA@MobiSys.
[17] Yoshimi Fukuoka,et al. New insights into compliance with a mobile phone diary and pedometer use in sedentary women. , 2011, Journal of physical activity & health.
[18] Arlen C. Moller,et al. Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. , 2012, Archives of internal medicine.
[19] C. Befort,et al. iPhone app adherence to expert-recommended guidelines for pediatric obesity prevention. , 2014, Childhood obesity.
[20] S. Phelan,et al. Lifestyle Interventions to Reduce Obesity and Diabetes , 2013 .
[21] Hamed Ketabdar,et al. ActivityMonitor: assisted life using mobile phones , 2010, IUI '10.
[22] G. Valentin,et al. Dealing with childhood obesity: Passive versus active activity monitoring approaches for engaging individuals in exercise , 2013, 2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC).
[23] M. Perugini,et al. Can implementation intentions and text messages promote brisk walking? A randomized trial. , 2010, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[24] Arlen C. Moller,et al. A smartphone-supported weight loss program: design of the ENGAGED randomized controlled trial , 2012, BMC Public Health.
[25] Ju Young Kim,et al. Needs analysis and development of a tailored mobile message program linked with electronic health records for weight reduction , 2013, Int. J. Medical Informatics.
[26] Brianna S Fjeldsoe,et al. Moving MobileMums forward: protocol for a larger randomized controlled trial of an improved physical activity program for women with young children , 2013, BMC Public Health.
[27] L. D. de Witte,et al. Get moving: the practice nurse is watching you! A case study of the user-centred design process and testing of a web-based coaching system to stimulate the physical activity of chronically ill patients in primary care. , 2013, Informatics in primary care.
[28] R. Dalle Grave,et al. The role of lifestyle change in the prevention and treatment of NAFLD. , 2013, Current pharmaceutical design.
[29] Lucy Yardley,et al. Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study , 2013, Journal of medical Internet research.
[30] Valérie Gay,et al. Personalised Mobile Health and Fitness Apps: Lessons learned from myFitnessCompanion® , 2012, pHealth.
[31] P. Cudd,et al. Interventions employing mobile technology for overweight and obesity: an early systematic review of randomized controlled trials , 2012, Obesity reviews : an official journal of the International Association for the Study of Obesity.
[32] Lin Sun,et al. Physical Activity Monitoring with Mobile Phones , 2011, ICOST.
[33] A. L. O'Sullivan,et al. Prompting Healthy Behavior via Text Messaging in Adolescents and Young Adults , 2011 .
[34] Aart van Halteren,et al. Connecting with Active People Matters: The Influence of an Online Community on Physical Activity Behavior , 2012, SocInfo.
[35] Ludovico Boratto,et al. Using new communication technologies and social media interaction to improve the motivation of users to exercise , 2013, Second International Conference on Future Generation Communication Technologies (FGCT 2013).
[36] Agha Fatemeh Hosseini,et al. Mobile Phone Short Message Service (SMS) for Weight Management in Iranian Overweight and Obese Women: A Pilot Study , 2013, International journal of telemedicine and applications.
[37] Louise A. Baur,et al. Electronic therapeutic contact for adolescent weight management: the Loozit study. , 2010, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[38] R. Schiel,et al. Electronic health technology for the assessment of physical activity and eating habits in children and adolescents with overweight and obesity IDA , 2012, Appetite.
[39] C. Abraham,et al. Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews , 2014, Journal of medical Internet research.
[40] K. Resnicow,et al. “Girls on the Move” intervention protocol for increasing physical activity among low-active underserved urban girls: a group randomized trial , 2013, BMC Public Health.
[41] G. Eysenbach,et al. Asynchronous and Synchronous Teleconsultation for Diabetes Care: A Systematic Literature Review , 2010, Journal of diabetes science and technology.
[42] B. Spring,et al. Healthy Apps: Mobile Devices for Continuous Monitoring and Intervention , 2013, IEEE Pulse.
[43] Fabrizio Bert,et al. Smartphones and Health Promotion: A Review of the Evidence , 2013, Journal of Medical Systems.
[44] C. Baird,et al. The pilot study. , 2000, Orthopedic nursing.
[45] P. Wolskee,et al. Treating obesity with a novel hand-held device, computer software program, and Internet technology in primary care: the SMART motivational trial. , 2010, Patient education and counseling.
[46] T. Wadden,et al. A randomized controlled trial of a commercial internet weight loss program. , 2004, Obesity research.
[47] Ryan J Shaw,et al. Development of a Theoretically Driven mHealth Text Messaging Application for Sustaining Recent Weight Loss , 2013, JMIR mHealth and uHealth.
[48] Gaetano Borriello,et al. BALANCE (Bioengineering Approaches for Lifestyle Activity and Nutrition Continuous Engagement): Developing New Technology for Monitoring Energy Balance in Real Time , 2010, Journal of diabetes science and technology.
[49] Jeannette Beasley,et al. Accuracy of a PDA-based dietary assessment program. , 2005, Nutrition.
[50] W. Riley,et al. Evaluation of a PDA-based Dietary Assessment and Intervention Program: A Randomized Controlled Trial , 2006, Journal of the American College of Nutrition.
[51] R. Petrella,et al. Diabetes and Technology for Increased Activity (DaTA) Study: Results of a Remote Monitoring Intervention for Prevention of Metabolic Syndrome , 2011, Journal of diabetes science and technology.
[52] Philippe Lacomme,et al. A smartphone-driven methodology for estimating physical activities and energy expenditure in free living conditions , 2014, J. Biomed. Informatics.
[53] Debra Lauterbach,et al. Happier Together: Integrating a Wellness Application into a Social Network Site , 2010, PERSUASIVE.
[54] E. Delp,et al. Evidence-based development of a mobile telephone food record. , 2010, Journal of the American Dietetic Association.
[55] Andrew T. Campbell,et al. BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization , 2012, Wireless Health.
[56] Glyn Lawson,et al. Managing obesity through mobile phone applications: a state-of-the-art review from a user-centred design perspective , 2014, Personal and Ubiquitous Computing.
[57] Arlen C. Moller,et al. Make Better Choices (MBC): Study design of a randomized controlled trial testing optimal technology-supported change in multiple diet and physical activity risk behaviors , 2010, BMC public health.
[58] Stephen Kimani,et al. Improving health information access through social networking , 2010, 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS).
[59] Margaret Allman-Farinelli,et al. Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change , 2012, JMIR research protocols.
[60] Wanmin Wu,et al. Classification Accuracies of Physical Activities Using Smartphone Motion Sensors , 2012, Journal of medical Internet research.
[61] Tammy Toscos,et al. Chick clique: persuasive technology to motivate teenage girls to exercise , 2006, CHI Extended Abstracts.
[62] Yiran Chen,et al. eButton: A wearable computer for health monitoring and personal assistance , 2014, 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC).
[63] E. Robinson,et al. Development and feasibility testing of a smart phone based attentive eating intervention , 2013, BMC Public Health.
[64] Deborah A Kerr,et al. Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions , 2011, Public Health Nutrition.
[65] P Aveyard,et al. Effect of behavioural techniques and delivery mode on effectiveness of weight management: systematic review, meta-analysis and meta-regression , 2014, Obesity reviews : an official journal of the International Association for the Study of Obesity.
[66] M. Chuah,et al. WiFiTreasureHunt: a mobile social application for staying active physically , 2012, UbiComp.
[67] B. Spring,et al. Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol. , 2014, Contemporary clinical trials.
[68] R. Wing,et al. Technology for behavioral assessment and intervention in bariatric surgery. , 2011, Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery.
[69] M. Allman-Farinelli,et al. Feasibility and validity of mobile phones to assess dietary intake. , 2014, Nutrition.
[70] D. Nathan,et al. Comparison of energy assessment methods in overweight individuals. , 2014, Journal of the Academy of Nutrition and Dietetics.
[71] Bambang Parmanto,et al. PersonA: Persuasive social network for physical Activity , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[72] A. Lu. An Experimental Test of the Effectiveness of Customized Narrative and Non-Narrative Health Blogs , 2009 .
[73] Shlomo Berkovsky,et al. Design and Pilot Results of a Mobile Phone Weight-Loss Application for Women Starting a Meal Replacement Programme , 2013, Journal of telemedicine and telecare.
[74] Da‐hong Wang,et al. The application of a handheld personal digital assistant with camera and mobile phone card (Wellnavi) to the general population in a dietary survey. , 2007, Journal of nutritional science and vitaminology.
[75] D. Moher,et al. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement , 2009, BMJ : British Medical Journal.
[76] M. Murphy,et al. Walking: the first steps in cardiovascular disease prevention , 2010, Current opinion in cardiology.
[77] W. Hussein,et al. Effectiveness of mobile phone short message service on diabetes mellitus management; the SMS-DM study. , 2011, Diabetes research and clinical practice.
[78] R. Whittaker,et al. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? , 2014, BMC Public Health.
[79] Audie A Atienza,et al. A review of eHealth interventions for physical activity and dietary behavior change. , 2007, American journal of preventive medicine.
[80] D. Mori,et al. Promoting Physical Activity in Individuals With Diabetes: Telehealth Approaches , 2011, Diabetes Spectrum.
[81] Sara Wilcox,et al. Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games? , 2013, Translational behavioral medicine.
[82] R. Lawton,et al. Physical activity and adolescents: an exploratory randomized controlled trial investigating the influence of affective and instrumental text messages. , 2010, British journal of health psychology.
[83] K. Patrick,et al. Text4Diet: a randomized controlled study using text messaging for weight loss behaviors. , 2012, Preventive medicine.
[84] J. Allison,et al. Recommendations for a Culturally Relevant Internet-Based Tool to Promote Physical Activity Among Overweight Young African American Women, Alabama, 2010–2011 , 2014, Preventing chronic disease.
[85] Jonathan A Finkelstein,et al. Leveraging Text Messaging and Mobile Technology to Support Pediatric Obesity-Related Behavior Change: A Qualitative Study Using Parent Focus Groups and Interviews , 2013, Journal of medical Internet research.
[86] D. Tate,et al. Tweets, Apps, and Pods: Results of the 6-Month Mobile Pounds Off Digitally (Mobile POD) Randomized Weight-Loss Intervention Among Adults , 2011, Journal of medical Internet research.
[87] JoEllen Wilbur,et al. Physical activity text messaging interventions in adults: a systematic review. , 2013, Worldviews on evidence-based nursing.
[88] Matthew Chalmers,et al. Increasing the Awareness of Daily Activity Levels with Pervasive Computing , 2006, 2006 Pervasive Health Conference and Workshops.
[89] M. Carter,et al. Handheld Electronic Technology for Weight Loss in Overweight/Obese Adults , 2014, Current Obesity Reports.
[90] V. Strecher,et al. A picture may be worth a thousand texts: obese adolescents' perspectives on a modified photovoice activity to aid weight loss. , 2012, Childhood obesity.
[91] James A. Landay,et al. The Mobile Sensing Platform: An Embedded Activity Recognition System , 2008, IEEE Pervasive Computing.
[92] M. Carter,et al. Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial , 2013, Journal of medical Internet research.
[93] Mark R. Pickering,et al. A New Texture Feature for Improved Food Recognition Accuracy in a Mobile Phone Based Dietary Assessment System , 2012, 2012 IEEE International Conference on Multimedia and Expo Workshops.
[94] K J Calfas,et al. Design and implementation of a randomized controlled social and mobile weight loss trial for young adults (project SMART). , 2014, Contemporary clinical trials.
[95] Ludovico Boratto,et al. Linking Human-Computer Interaction with the Social Web: A web application to improve motivation in the exercising activity of users , 2013, 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom).
[96] Paula Alexandra Silva,et al. Smartphones, Smart Seniors, But Not-So-Smart Apps: A Heuristic Evaluation of Fitness Apps , 2014, HCI.
[97] Mark R. Pickering,et al. Food Volume Estimation in a Mobile Phone Based Dietary Assessment System , 2012, 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems.
[98] Gianluca Castelnuovo,et al. TECNOB: study design of a randomized controlled trial of a multidisciplinary telecare intervention for obese patients with type-2 diabetes , 2010, BMC public health.
[99] K. Glanz,et al. Improving Dietary Self-Monitoring and Adherence with Hand-Held Computers: A Pilot Study , 2006, American journal of health promotion : AJHP.
[100] Laurel A. Littlefield,et al. Effectiveness of cell phones and mypyramidtracker.gov to estimate fruit and vegetable intake. , 2013, Applied nursing research : ANR.
[101] Corby K. Martin,et al. Validity of the Remote Food Photography Method (RFPM) for Estimating Energy and Nutrient Intake in Near Real‐Time , 2012, Obesity.
[102] Elmer V. Bernstam,et al. Structural social support predicts functional social support in an online weight loss programme , 2014, Health expectations : an international journal of public participation in health care and health policy.
[103] Christine Keung,et al. BunnyBolt: a mobile fitness app for youth , 2013, IDC.
[104] Hamed Ketabdar,et al. System and methodology for using mobile phones in live remote monitoring of physical activities , 2010, 2010 IEEE International Symposium on Technology and Society.
[105] Philippa Trevorrow,et al. Technology running the world : The Nike+iPod kit and levels of physical activity , 2012 .
[106] Jane D. Brown,et al. The role of companionship, esteem, and informational support in explaining physical activity among young women in an online social network intervention , 2014, Journal of Behavioral Medicine.
[107] Giacomo Vespasiani,et al. Impact of the "Diabetes Interactive Diary" telemedicine system on metabolic control, risk of hypoglycemia, and quality of life: a randomized clinical trial in type 1 diabetes. , 2013, Diabetes technology & therapeutics.
[108] H. Arksey,et al. Scoping studies: towards a methodological framework , 2005 .
[109] R. Plotnikoff,et al. Preventing Obesity Among Adolescent Girls: One-Year Outcomes of the Nutrition and Enjoyable Activity for Teen Girls (NEAT Girls) Cluster Randomized Controlled Trial. , 2012, Archives of pediatrics & adolescent medicine.
[110] K. McTigue,et al. What role can the internet play in preventing diabetes , 2011 .
[111] Meaghan Nolan,et al. Validity of the Apple iPhone® /iPod Touch® as an accelerometer-based physical activity monitor: a proof-of-concept study. , 2014, Journal of physical activity & health.
[112] Min-Jeong Park,et al. Cellular phone and Internet-based individual intervention on blood pressure and obesity in obese patients with hypertension , 2009, Int. J. Medical Informatics.
[113] K. Ohashi,et al. Development of a hand-held personal digital assistant-based food diary with food photographs for Japanese subjects. , 2009, Journal of the American Dietetic Association.
[114] T. Sbrocco,et al. Adherence and weight loss outcomes associated with food-exercise diary preference in a military weight management program. , 2009, Eating behaviors.
[115] Lora E Burke,et al. SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. , 2009, Contemporary clinical trials.
[116] D. Conroy,et al. Behavior change techniques in top-ranked mobile apps for physical activity. , 2014, American journal of preventive medicine.
[117] Atul Nakhasi,et al. Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis , 2014, Journal of medical Internet research.
[118] Jindong Tan,et al. DietCam: Automatic dietary assessment with mobile camera phones , 2012, Pervasive Mob. Comput..
[119] Francesc Saigí-Rubió,et al. Use of mobile phones as a tool for weight loss: a systematic review , 2014, Journal of telemedicine and telecare.
[120] Geri Gay,et al. The theory, development, and implementation of an e-intervention to prevent excessive gestational weight gain: e-Moms Roc. , 2014, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[121] A. Simunaniemi,et al. Laypeople Blog About Fruit and Vegetables for Self-Expression and Dietary Influence , 2011, Health communication.
[122] K. McDonald,et al. Can individualized weight monitoring using the HeartPhone algorithm improve sensitivity for clinical deterioration of heart failure? , 2013, European journal of heart failure.
[123] Emily R Breton,et al. Weight loss—there is an app for that! But does it adhere to evidence-informed practices? , 2011, Translational behavioral medicine.
[124] Erin L. Krupka,et al. Implementation and evaluation of an incentivized Internet-mediated walking program for obese adults , 2013, Translational behavioral medicine.
[125] Genevieve Fridlund Dunton,et al. Understanding the physical and social contexts of children's nonschool sedentary behavior: an ecological momentary assessment study. , 2014, Journal of physical activity & health.
[126] Samantha A Adams,et al. Using blogging tools to help individuals record their experiences: an exploration and review of two commercial web applications in the Netherlands. , 2007, Studies in health technology and informatics.
[127] William J. Heerman,et al. Growing Right Onto Wellness (GROW): a family-centered, community-based obesity prevention randomized controlled trial for preschool child-parent pairs. , 2013, Contemporary clinical trials.
[128] Ben S. Gerber,et al. Mobile phone text messaging to promote healthy behaviors and weight loss maintenance: a feasibility study , 2009, Health Informatics J..
[129] Nicole L. Nollen,et al. Development and functionality of a handheld computer program to improve fruit and vegetable intake among low-income youth. , 2013, Health education research.
[130] Harry J. P. Timmermans,et al. Motivate: Towards context-aware recommendation mobile system for healthy living , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.
[131] Rebecca E. Grinter,et al. EatWell: sharing nutrition-related memories in a low-income community , 2008, CSCW.
[132] Nicola Brown,et al. Friend or foe? An exploratory study of Australian parents' use of asynchronous discussion boards in childhood obesity. , 2014, Collegian.
[133] James T Tufano,et al. Designing mobile dietary management support technologies for people with diabetes , 2008, Journal of telemedicine and telecare.
[134] G. Hartvigsen,et al. Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines , 2011, Journal of medical Internet research.
[135] Constance M. Johnson,et al. Mobile health messages help sustain recent weight loss. , 2013, The American journal of medicine.
[136] Tim Olds,et al. Usability Testing and Piloting of the Mums Step It Up Program - A Team-Based Social Networking Physical Activity Intervention for Women with Young Children , 2014, PloS one.
[137] Jing Wang. Social problem solving and adherence to self-monitoring in association with changes in weight and cardiometabolic risk factors in a behavioral weight loss trial , 2010 .
[138] K. Glanz,et al. Self-Monitoring as a Mediator of Weight Loss in the SMART Randomized Clinical Trial , 2013, International Journal of Behavioral Medicine.
[139] Jerilyn K Allen,et al. Randomized Controlled Pilot Study Testing Use of Smartphone Technology for Obesity Treatment , 2013, Journal of obesity.
[140] Reetta Heinonen,et al. Usability and feasibility of mobile phone diaries in an experimental physical exercise study. , 2012, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[141] Eneida A. Mendonça,et al. The Effect of a Mobile Health Decision Support System on Diagnosis and Management of Obesity, Tobacco Use, and Depression in Adults and Children. , 2014, The journal for nurse practitioners : JNP.
[142] S. Michie,et al. An economic evaluation of adaptive e-learning devices to promote weight loss via dietary change for people with obesity , 2012, BMC Health Services Research.
[143] Sean T Doherty,et al. Tracking human activity and well-being in natural environments using wearable sensors and experience sampling. , 2014, Social science & medicine.
[144] J. Buckworth,et al. A walking intervention for postmenopausal women using mobile phones and interactive voice response , 2012, Journal of telemedicine and telecare.
[145] B. Wansink,et al. Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study , 2014, Journal of medical Internet research.
[146] Erin M. Jones. Electronic Apps for Food and Appetite Monitoring: Acceptability and Reactive Effects in Women with Eating and Weight Concerns , 2012 .
[147] R. Steele,et al. An evaluation of a personal electronic device to enhance self-monitoring adherence in a pediatric weight management program using a multiple baseline design. , 2011, Journal of pediatric psychology.
[148] A. Chester,et al. Treatment Alternatives for Overweight and Obesity: The Role of Online Interventions , 2008 .
[149] Corby K. Martin,et al. A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method. , 2008, The British journal of nutrition.
[150] Weimo Zhu,et al. Monitoring Glucose and Physical Activity Using Mobile Phone: A Proposed System: 2309 , 2008 .
[151] Terry Delpier,et al. Decreasing sugar-sweetened beverage consumption in the rural adolescent population. , 2013, Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners.
[152] Use of a Text Messaging Program to Promote Adherence to Daily Physical Activity Guidelines: A Review of the Literature , 2012 .
[153] K. Ball,et al. What might work? Exploring the perceived feasibility of strategies to promote physical activity among women living in socioeconomically disadvantaged neighbourhoods. , 2013, Health education research.
[154] Steen J. Hsu,et al. Context-Aware Prompting System for Improving Physical Activity , 2014, 2014 International Symposium on Computer, Consumer and Control.
[155] Hilde Eide,et al. The development and feasibility of a web-based intervention with diaries and situational feedback via smartphone to support self-management in patients with diabetes type 2. , 2012, Diabetes research and clinical practice.
[156] Inês Sousa,et al. Monitoring physical activity and energy expenditure with smartphones , 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).
[157] Lenore Arab,et al. Automated camera-phone experience with the frequency of imaging necessary to capture diet. , 2010, Journal of the American Dietetic Association.
[158] E. Derbyshire,et al. Strategies to encourage healthy eating among children and young adults , 2014 .
[159] Ryan J. Shaw,et al. mHealth interventions for weight loss: a guide for achieving treatment fidelity , 2014, J. Am. Medical Informatics Assoc..
[160] Andreas R. Schwerdtfeger,et al. Using Text Messages to Bridge the Intention-Behavior Gap? A Pilot Study on the Use of Text Message Reminders to Increase Objectively Assessed Physical Activity in Daily Life , 2012, Front. Psychology.
[161] David Heaney,et al. Patients’ experiences of using a smartphone application to increase physical activity: the SMART MOVE qualitative study in primary care , 2014, The British journal of general practice : the journal of the Royal College of General Practitioners.
[162] Bruno M. C. Silva,et al. SapoFitness: A mobile health application for dietary evaluation , 2011, 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services.
[163] Melissa Marie Sneed. Blogging in the Fatosphere: A Qualitative Study of Perceptions of Personal Risks and Benefits for Women who Blog about Weight, Weight Loss, and Dieting Issues , 2012 .
[164] A. S. Hazizi,et al. A randomised controlled trial of a Facebook-based physical activity intervention for government employees with metabolic syndrome , 2014 .
[165] Matthew P Buman,et al. Exercise advice by humans versus computers: maintenance effects at 18 months. , 2014, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[166] Amber Kristine Howard,et al. Feedforward: A Mobile Design Strategy that Supports Emotive Learning for Preventive Health Practices and Enduring Lifestyle Change. , 2011 .
[167] Lori D. Sigrist,et al. Monitoring energy intake: a hand-held personal digital assistant provides accuracy comparable to written records. , 2009, Journal of the American Dietetic Association.
[168] Lianwen Jin,et al. Activity Recognition Based on an Accelerometer in a Smartphone Using an FFT-Based New Feature and Fusion Methods , 2014, IEICE Trans. Inf. Syst..
[169] Sulin Ba,et al. Digital health communities: The effect of their motivation mechanisms , 2013, Decis. Support Syst..
[170] François Modave,et al. Analysis of the accuracy of weight loss information search engine results on the internet. , 2014, American journal of public health.
[171] J. Schwartz,et al. Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. , 2012, The Cochrane database of systematic reviews.
[172] Parisa Eslambolchilar,et al. Walking in the Wild - Using an Always-On Smartphone Application to Increase Physical Activity , 2013, INTERACT.
[173] I. Flitcroft. Calorie transfer: a new approach to the global nutrition crisis. , 2006, MedGenMed : Medscape general medicine.
[174] T. Talbot,et al. Virtual Reality and Interactive Gaming Technology for Obese and Diabetic Children: Is Military Medical Technology Applicable? , 2011, Journal of diabetes science and technology.
[175] Lorraine R. Buis,et al. Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part II): Assessment of Participants' Perceptions on Efficacy , 2013, Journal of medical Internet research.
[176] Michael J. Paul,et al. Discovering Health Topics in Social Media Using Topic Models , 2014, PloS one.
[177] Claudia Thompson-Felty. iPhone Applications and Improvement in Weight and Health Parameters: A Randomized Controlled Trial , 2014 .
[178] Marie Löf,et al. Measuring Physical Activity in a Cardiac Rehabilitation Population Using a Smartphone-Based Questionnaire , 2013, Journal of medical Internet research.
[179] Ashish Agrawal,et al. World of workout: a contextual mobile RPG to encourage long term fitness , 2013, HealthGIS '13.
[180] Rhys Tague,et al. WALK 2.0 - Using Web 2.0 applications to promote health-related physical activity: A randomised controlled trial protocol , 2013, BMC Public Health.
[181] Peter Leijdekkers,et al. Mobile apps for chronic disease management: lessons learned from myFitnessCompanion® , 2013 .
[182] N. Barengo,et al. Weight loss by mobile phone: a 1-year effectiveness study , 2009, Public Health Nutrition.
[183] Liew Kwei Ping,et al. A framework of a childhood obesity intervention using persuasive web-mobile technology , 2012, 2012 International Conference on Computer & Information Science (ICCIS).
[184] Matthijs Jan Zwinderman,et al. Phone Row: A Smartphone Game Designed to Persuade People to Engage in Moderate-Intensity Physical Activity , 2012, PERSUASIVE.
[185] Tino Bech-Larsen,et al. Promoting healthy eating to children: a text message (SMS) feedback approach , 2013 .
[186] Stephen Kobourov,et al. Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter , 2013, Journal of medical Internet research.
[187] Damien Jolley,et al. A low intensity, community based lifestyle programme to prevent weight gain in women with young children: cluster randomised controlled trial , 2010, BMJ : British Medical Journal.
[188] G. Bennett,et al. Using facebook and text messaging to deliver a weight loss program to college students , 2013, Obesity.
[189] Mária Bieliková,et al. Move2Play: an innovative approach to encouraging people to be more physically active , 2012, IHI '12.
[190] S. Intille,et al. Momentary Assessment of Adults’ Physical Activity and Sedentary Behavior: Feasibility and Validity , 2012, Front. Psychology.
[191] Nadir Weibel,et al. Click “Like” to Change Your Behavior: A Mixed Methods Study of College Students’ Exposure to and Engagement With Facebook Content Designed for Weight Loss , 2014, Journal of medical Internet research.
[192] R. Petrella,et al. Prescribing Physical Activity for Healthy Aging: Longitudinal Follow-Up and Mixed Method Analysis of a Primary Care Intervention , 2014, The Physician and sportsmedicine.
[193] N. Kaufman,et al. Using Health Information Technology to Prevent and Treat Diabetes , 2012, International journal of clinical practice. Supplement.
[194] JeongGil Ko,et al. A closed-loop approach for improving the wellness of low-income elders at home using game consoles , 2012, IEEE Communications Magazine.
[195] T. Olds,et al. Effectiveness of a facebook-delivered physical activity intervention for post-partum women: a randomized controlled trial protocol , 2013, BMC Public Health.
[196] Marci K Campbell,et al. Pounds Off Digitally study: a randomized podcasting weight-loss intervention. , 2009, American journal of preventive medicine.
[197] Morwenna Kirwan,et al. Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial , 2012, Journal of medical Internet research.
[198] Access to a Behavioral Weight Loss Website With or Without Group Sessions Increased Weight Loss in Statewide Campaign , 2014 .
[199] Alisha H. Redelfs,et al. Technology for health: A qualitative study on barriers to using the iPad for diet change , 2013 .
[200] So Hyun Park,et al. Self-management program for obesity control among middle-aged women in Korea: a pilot study. , 2011, Japan journal of nursing science : JJNS.
[201] Glenna G. Bower,et al. Evaluation of a Health and Fitness Social Media Experience , 2011 .
[202] James A. Landay,et al. Design requirements for technologies that encourage physical activity , 2006, CHI.
[203] L. D. de Witte,et al. A pilot study of a tool to stimulate physical activity in patients with COPD or type 2 diabetes in primary care , 2014, Journal of telemedicine and telecare.
[204] Ronald C. Plotnikoff,et al. Smart-Phone Obesity Prevention Trial for Adolescent Boys in Low-Income Communities: The ATLAS RCT , 2014, Pediatrics.
[205] Melanie Hingle,et al. Texting for health: the use of participatory methods to develop healthy lifestyle messages for teens. , 2013, Journal of nutrition education and behavior.
[206] Xinxin Zhu,et al. Leveraging social media for preventive care-A gamification system and insights. , 2012, Studies in health technology and informatics.
[207] Wanda Pratt,et al. Healthcare in the pocket: Mapping the space of mobile-phone health interventions , 2012, J. Biomed. Informatics.
[208] K. Patrick,et al. A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial , 2009, Journal of medical Internet research.
[209] C. Vandelanotte,et al. Are Health Behavior Change Interventions That Use Online Social Networks Effective? A Systematic Review , 2014, Journal of medical Internet research.
[210] Kyung-Hee Park,et al. Cost-effectiveness of a community-based obesity control programme , 2010, Journal of telemedicine and telecare.
[211] A. M. Khan,et al. Promoting a healthier life-style using activity-aware smart phones , 2012, 2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012).
[212] Amanda L. Clark,et al. Using the MyPyramid.gov Website as a Tool for Diabetes Self-Management Education , 2006 .
[213] Bokim Lee,et al. Efficacy of a programme for workers with metabolic syndrome based on an e-health system in the workplace: a pilot study , 2012, Journal of telemedicine and telecare.
[214] Giacomo Vespasiani,et al. An interactive diary for diet management (DAI): a new telemedicine system able to promote body weight reduction, nutritional education, and consumption of fresh local produce. , 2010, Diabetes technology & therapeutics.
[215] Dianxu Ren,et al. Biophysiologic outcomes of the Enhancing Adherence in Type 2 Diabetes (ENHANCE) trial. , 2012, Journal of the Academy of Nutrition and Dietetics.
[216] Matthias Kranz,et al. GymSkill: A personal trainer for physical exercises , 2012, 2012 IEEE International Conference on Pervasive Computing and Communications.
[217] Samir Chatterjee,et al. A model for computer-tailored motivational message generation for a healthy lifestyle management information system , 2008 .
[218] Joshua H. West,et al. Apps of Steel: Are Exercise Apps Providing Consumers With Realistic Expectations? , 2013, Health education & behavior : the official publication of the Society for Public Health Education.
[219] Guanqing Liang,et al. Runking: A mobile social persuasion system for running exercise , 2013, 2013 Computing, Communications and IT Applications Conference (ComComAp).
[220] John Nelson,et al. Activity recognition with smartphone support. , 2014, Medical engineering & physics.
[221] T. Chey,et al. A systematic review and meta-analysis of interventions for weight management using text messaging. , 2015, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.
[222] S. Wilcox,et al. Does the type of weight loss diet affect who participates in a behavioral weight loss intervention? A comparison of participants for a plant-based diet versus a standard diet trial , 2014, Appetite.
[223] Robin Callister,et al. The Nutrition and Enjoyable Activity for Teen Girls (NEAT girls) randomized controlled trial for adolescent girls from disadvantaged secondary schools: rationale, study protocol, and baseline results , 2010, BMC public health.
[224] Shawn M. Bergman,et al. Is there a valid app for that? Validity of a free pedometer iPhone application. , 2012, Journal of physical activity & health.
[225] N. Byrne,et al. An energy balance APP: A self- management tool for monitoring food intake, appetite and body weight , 2011 .
[226] N. Lewis,et al. MyPyramid-omega-3 fatty acid nutrition education intervention may improve food groups and omega-3 fatty acid consumption in university middle-aged women. , 2013, Nutrition research.
[227] Chris Van Hoof,et al. Self-calibration of walking speed estimations using smartphone sensors , 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).
[228] B. Fjeldsoe,et al. Behavior change interventions delivered by mobile telephone short-message service. , 2009, American journal of preventive medicine.
[229] Doreen Rabi,et al. Effectiveness of mobile electronic devices in weight loss among overweight and obese populations: a systematic review and meta-analysis , 2014, BMC Obesity.
[230] Beth Bock,et al. Desired features of smartphone applications promoting physical activity. , 2011, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[231] E. Fowles,et al. The feasibility of personal digital assistants (PDAs) to collect dietary intake data in low-income pregnant women. , 2008, Journal of nutrition education and behavior.
[232] B. Vandermeer,et al. Social media interventions for diet and exercise behaviours: a systematic review and meta-analysis of randomised controlled trials , 2014, BMJ Open.
[233] J. Donnelly,et al. Comparison of a phone vs clinic approach to achieve 10% weight loss , 2007, International Journal of Obesity.
[234] Yoshimi Fukuoka,et al. The mPED randomized controlled clinical trial: applying mobile persuasive technologies to increase physical activity in sedentary women protocol , 2011, BMC public health.
[235] Dan Ding,et al. Physical activity monitoring and sharing platform for manual wheelchair users , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[236] J. Buckworth,et al. How Are Previous Physical Activity and Self-Efficacy Related to Future Physical Activity and Self-Efficacy? , 2014, Health education & behavior : the official publication of the Society for Public Health Education.
[237] L. Serra-Majem,et al. A review of the use of information and communication technologies for dietary assessment , 2009, British Journal of Nutrition.
[238] L. D. de Witte,et al. Usability testing of a monitoring and feedback tool to stimulate physical activity , 2014, Patient preference and adherence.
[239] Sheila G. Winett,et al. Guide to health: a randomized controlled trial of the effects of a completely web-based intervention on physical activity, fruit and vegetable consumption, and body weight , 2011, Translational behavioral medicine.
[240] M. Sharma,et al. Internet and cell phone based physical activity interventions in adults. , 2011 .
[241] Gregory J. Pottie,et al. Context-driven, Prescription-Based Personal Activity Classification: Methodology, Architecture, and End-to-End Implementation , 2014, IEEE Journal of Biomedical and Health Informatics.
[242] R. Glasgow,et al. The delivery of public health interventions via the Internet: actualizing their potential. , 2009, Annual review of public health.
[243] Stephen Kimani,et al. Engaging Families in Lifestyle Changes Through Social Networking , 2011, Int. J. Hum. Comput. Interact..
[244] Jing Wang,et al. Effect of adherence to self-monitoring of diet and physical activity on weight loss in a technology-supported behavioral intervention , 2012, Patient preference and adherence.
[245] Brianna S Fjeldsoe,et al. Systematic review of maintenance of behavior change following physical activity and dietary interventions. , 2011, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[246] R. Maddison,et al. Consumer views on the potential use of mobile phones for the delivery of weight-loss interventions. , 2011, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.
[247] A Diaz-Cardama,et al. Mobile phone text messaging in the management of diabetes , 2004, Journal of telemedicine and telecare.
[248] Sean P Mullen,et al. Increasing Physical Activity With Mobile Devices: A Meta-Analysis , 2012, Journal of medical Internet research.
[249] Tara Kelly,et al. A Resource Guide for Web-Based Physical Activity Logs , 2013 .
[250] E. Denney-Wilson,et al. Assisting parents to prevent obesity in their young children: The COMPaRE-PHC early childhood research program , 2013 .
[251] J. Clary. "MISSISSIPPI IN MOTION" AND "FAMILIES FOOD AND FITNESS COMMUNITY OF PRACTICE" VIRTUAL EDUCATION SITE: IMPROVING THE HEALTH OF AMERICANS , 2010 .
[252] Sarah Arbogast. 140 characters to skinny: Social support provided by commercial weight-loss programs via Twitter , 2013 .
[253] Paul W. Ballantine,et al. Help me, I'm fat! Social support in online weight loss networks , 2011 .
[254] Siobhan McMahon,et al. Mobile computer application for promoting physical activity. , 2013, Journal of gerontological nursing.
[255] S. Michie,et al. Does Brief Telephone Support Improve Engagement With a Web-Based Weight Management Intervention? Randomized Controlled Trial , 2014, Journal of medical Internet research.
[256] S. Austin,et al. The Importance of Campaign Saliency as a Predictor of Attitude and Behavior Change: A Pilot Evaluation of Social Marketing Campaign Fat Talk Free Week , 2014, Health communication.
[257] William J. Long,et al. Natural Language Processing of Spoken Diet Records (SDRs) , 2006, AMIA.
[258] Stephen Intille,et al. Weight loss intervention for young adults using mobile technology: design and rationale of a randomized controlled trial - Cell Phone Intervention for You (CITY). , 2014, Contemporary clinical trials.
[259] Davide Anguita,et al. Training Computationally Efficient Smartphone-Based Human Activity Recognition Models , 2013, ICANN.
[260] Jane D. Brown,et al. A social media-based physical activity intervention: a randomized controlled trial. , 2012, American journal of preventive medicine.
[261] J. Chanoine,et al. Process evaluation of the Living Green, Healthy and Thrifty (LiGHT) web-based child obesity management program: combining health promotion with ecology and economy. , 2013, Canadian journal of diabetes.
[262] E. Molinari,et al. Obesity and outpatient rehabilitation using mobile technologies: the potential mHealth approach , 2014, Front. Psychol..
[263] Amit G Singal,et al. A Primer on Effectiveness and Efficacy Trials , 2014, Clinical and Translational Gastroenterology.
[264] J. S. Sodhi,et al. Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial , 2007, Journal of medical Internet research.
[265] J. Dwyer,et al. Eliciting provider and patient perspectives to develop an interdisciplinary obesity management planning framework in primary care , 2011 .
[266] Gunnar Hartvigsen,et al. Mobile Phone-Based Self-Management Tools for Type 2 Diabetes: The Few Touch Application , 2010, Journal of diabetes science and technology.
[267] Pradeep Buddharaju,et al. NEAT-o-Games: blending physical activity and fun in the daily routine , 2008, CIE.
[268] Peter Howat,et al. The protocol of a randomized controlled trial for playgroup mothers: Reminder on Food, Relaxation, Exercise, and Support for Health (REFRESH) Program , 2011, BMC public health.
[269] M. Firoozi,et al. VIRTUAL SOCIAL NETWORK FOR MANAGEMENT OF OBESITY IN CHILDREN AND ADOLESCENTS , 2013 .
[270] D. Newell,et al. Increasing compliance toward home exercise in chiropractic patients using SMS texting: A pilot study , 2012 .
[271] P. Schulz,et al. Mapping mHealth Research: A Decade of Evolution , 2013, Journal of medical Internet research.
[272] Hyun-Young Kim,et al. Development of an Obesity Management Ontology Based on the Nursing Process for the Mobile-Device Domain , 2013, Journal of medical Internet research.
[273] M. O’Donnell,et al. Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial. , 2014, The British journal of general practice : the journal of the Royal College of General Practitioners.
[274] Suk-Il Kim,et al. Effectiveness of mobile and internet intervention in patients with obese type 2 diabetes , 2008, Int. J. Medical Informatics.
[275] Rebecca E. Grinter,et al. Characteristics of shared health reflections in a local community , 2010, CSCW '10.
[276] L. Baur,et al. Twelve-month outcomes of the loozit randomized controlled trial: a community-based healthy lifestyle program for overweight and obese adolescents. , 2012, Archives of pediatrics & adolescent medicine.
[277] Victoria J. Burley,et al. Development of ‘My Meal Mate’ – A smartphone intervention for weight loss , 2013 .
[278] Bill Kules,et al. Heuristic Evaluation of Healthy Eating Apps for Older Adults , 2014 .
[279] Wen-Yuan Jen,et al. The adoption of mobile weight management services in a virtual community: the perspective of college students. , 2010, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[280] Justin Presseau,et al. Testing self-regulation interventions to increase walking using factorial randomized N-of-1 trials. , 2012, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[281] Jindong Tan,et al. HealthAware: Tackling obesity with health aware smart phone systems , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[282] Tyra Thrinette Norris-Ellis. Association between availability of an on-site workplace wellness program, physical activity, and nutrition , 2011 .
[283] J Graham Thomas,et al. Health-E-Call, a Smartphone-Assisted Behavioral Obesity Treatment: Pilot Study , 2013, JMIR mHealth and uHealth.
[284] Brianna S Fjeldsoe,et al. ‘Get Healthy, Stay Healthy’: protocol for evaluation of a lifestyle intervention delivered by text-message following the Get Healthy Information and Coaching Service® , 2014, BMC Public Health.
[285] Brianna S Fjeldsoe,et al. MobileMums: A Randomized Controlled Trial of an SMS-Based Physical Activity Intervention , 2010, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.
[286] S. Bauer,et al. Use of text messaging for monitoring sugar-sweetened beverages, physical activity, and screen time in children: a pilot study. , 2008, Journal of nutrition education and behavior.
[287] M. Sevick,et al. Using mHealth technology to enhance self-monitoring for weight loss: a randomized trial. , 2012, American journal of preventive medicine.
[288] C. Raina Elley,et al. The eCHAT Program to Facilitate Healthy Changes in New Zealand Primary Care , 2013, The Journal of the American Board of Family Medicine.
[289] A. Haines,et al. The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review , 2013, PLoS medicine.
[290] Ashraf Khalil,et al. Harnessing social dynamics through persuasive technology to promote healthier lifestyle , 2013, Comput. Hum. Behav..
[291] A. Koyle. The value of infusing self-efficacy theory with smartphone technology to sustain walking for exercise in a worksite population , 2013 .
[292] S. Intille,et al. Recruiting young adults into a weight loss trial: report of protocol development and recruitment results. , 2013, Contemporary clinical trials.
[293] Genevieve F Dunton,et al. Physical and social contextual influences on children's leisure-time physical activity: an ecological momentary assessment study. , 2011, Journal of physical activity & health.
[294] Li Wang,et al. An accurate and adaptive pedometer integrated in mobile health application , 2010 .
[295] Andrew T. Kaczynski,et al. Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program , 2013, J. Am. Medical Informatics Assoc..
[296] D. Tate. Application of Innovative Technologies in the Prevention and Treatment of Overweight in Children and Adolescents , 2008 .
[297] Amy Aldridge Sanford. “I Can Air My Feelings Instead of Eating Them”: Blogging as Social Support for the Morbidly Obese , 2010 .
[298] P. Lin,et al. A text messaging‐assisted randomized lifestyle weight loss clinical trial among overweight adults in Beijing , 2014, Obesity.
[299] A. Winkvist,et al. Cost-utility analysis of a randomized controlled weight loss trial among lactating overweight/obese women , 2014, BMC Public Health.
[300] Matthew Cummiskey,et al. There’s an App for That Smartphone Use in Health and Physical Education , 2011 .
[301] G. Bennett,et al. Using technology to promote postpartum weight loss in urban, low-income mothers: a pilot randomized controlled trial. , 2014, Journal of nutrition education and behavior.
[302] Gunnar Hartvigsen,et al. Mobile phone-based pattern recognition and data analysis for patients with type 1 diabetes. , 2012, Diabetes technology & therapeutics.
[303] Lydia Hearn,et al. Online healthy lifestyle support in the perinatal period: what do women want and do they use it? , 2013, Australian journal of primary health.
[304] Ying Xia,et al. Development of an Automated Physical Activity Classification Application for Mobile Phones , 2011, HIC.
[305] Seung-Hun Park,et al. Development and evaluation of a mobile application for personal lifestyle check-up and improvement. , 2014, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[306] André Calero Valdez,et al. Chances of Increasing Youth Health Awareness through Mobile Wellness Applications , 2010, USAB.
[307] Emily Read,et al. Feasibility of the Diabetes and Technology for Increased Activity (DaTA) Study: a pilot intervention in high-risk rural adults. , 2014, Journal of physical activity & health.
[308] Antonio I Cuesta-Vargas,et al. Improving Adherence Physical Activity with a Smartphone Application Based on Adults with Intellectual Disabilities (APPCOID) , 2013, BMC Public Health.
[309] Illhoi Yoo,et al. A Systematic Review of Healthcare Applications for Smartphones , 2012, BMC Medical Informatics and Decision Making.
[310] Philip J. Morgan,et al. Development and Implementation of a Smartphone Application to Promote Physical Activity and Reduce Screen-Time in Adolescent Boys , 2014, Front. Public Health.
[311] Olivier Danino. Conflict in Cyberspace: The Case of the Middle East , 2015 .
[312] J. Taggart,et al. What health literacy interventions are effective in the primary healthcare settings in weight loss management—A systematic review , 2013 .
[313] William G. Griswold,et al. Usability and Feasibility of PmEB: A Mobile Phone Application for Monitoring Real Time Caloric Balance , 2006, Mob. Networks Appl..
[314] Dori M. Steinberg,et al. Electronic health (eHealth) interventions for weight management among racial/ethnic minority adults: a systematic review , 2014, Obesity reviews : an official journal of the International Association for the Study of Obesity.
[315] P. L. Lua,et al. The impact of nutrition education interventions on the dietary habits of college students in developed nations: a brief review. , 2012, The Malaysian journal of medical sciences : MJMS.
[316] Ashraf Khalil,et al. StepUp: A step counter mobile application to promote healthy lifestyle , 2009, 2009 International Conference on the Current Trends in Information Technology (CTIT).
[317] M. Sevick,et al. The Effect of Electronic Self‐Monitoring on Weight Loss and Dietary Intake: A Randomized Behavioral Weight Loss Trial , 2011, Obesity.
[318] Donald A Williamson,et al. Use of a Computerized Tracking System to Monitor and Provide Feedback on Dietary Goals for Calorie-Restricted Diets: The POUNDS LOST Study , 2012, Journal of diabetes science and technology.
[319] D. Tate,et al. Social support for physical activity—role of Facebook with and without structured intervention , 2014, Translational behavioral medicine.
[320] Harry J. P. Timmermans,et al. Motivate: Context Aware Mobile Application for Activity Recommendation , 2011, AmI.
[321] Urs-Vito Albrecht,et al. mHealth 2.0: Experiences, Possibilities, and Perspectives , 2014, JMIR mHealth and uHealth.
[322] E. Molinari,et al. The STRATOB study: design of a randomized controlled clinical trial of Cognitive Behavioral Therapy and Brief Strategic Therapy with telecare in patients with obesity and binge-eating disorder referred to residential nutritional rehabilitation , 2011, Trials.
[323] D. Donaire-Gonzalez,et al. Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph , 2013, Journal of medical Internet research.
[324] Wilhelm Hofmann,et al. Dieting and the self-control of eating in everyday environments: an experience sampling study. , 2013, British journal of health psychology.
[325] Marci K Campbell,et al. Delivering Health Information via Podcast or Web: Media Effects on Psychosocial and Physiological Responses , 2013, Health communication.
[326] Jan Passchier,et al. Short message service reduces dropout in childhood obesity treatment: a randomized controlled trial. , 2012, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[327] Gabrielle Michelle Turner-McGrievy,et al. Pounds Off Digitally (POD): an examination of the use of podcasting to promote weight loss , 2009 .
[328] Deborah F. Tate,et al. The efficacy of a daily self-weighing weight loss intervention using smart scales and email , 2013, Obesity.
[329] Gabrielle M. Turner-McGrievy,et al. Are we sure that Mobile Health is really mobile? An examination of mobile device use during two remotely-delivered weight loss interventions , 2014, Int. J. Medical Informatics.
[330] Fabio Casati,et al. Tablet-Based Strength-Balance Training to Motivate and Improve Adherence to Exercise in Independently Living Older People: A Phase II Preclinical Exploratory Trial , 2013, Journal of medical Internet research.
[331] G. Rutherford,et al. Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. , 2012, The Cochrane database of systematic reviews.
[332] Ahmed Kattan,et al. Better Physical Activity Classification using Smartphone Acceleration Sensor , 2014, Journal of Medical Systems.
[333] O. Brown,et al. Mobile MyPlate: A Pilot Study Using Text Messaging to Provide Nutrition Education and Promote Better Dietary Choices in College Students , 2014, Journal of American college health : J of ACH.
[334] Ana M. Bernardos,et al. Activity logging using lightweight classification techniques in mobile devices , 2012, Personal and Ubiquitous Computing.
[335] E J Delp,et al. Use of technology in children’s dietary assessment , 2009, European Journal of Clinical Nutrition.
[336] Elizabeth J Lyons,et al. Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis , 2014, Journal of medical Internet research.
[337] S. Zenk,et al. Ecological momentary assessment of environmental and personal factors and snack food intake in African American women , 2014, Appetite.
[338] C. Vandelanotte,et al. WALK 2.0: Examining the effectiveness of Web 2.0 features to increase physical activity in a ‘real world’ setting: an ecological trial , 2014, BMJ Open.
[339] Tingting Zhao,et al. Design requirements for persuasive technologies to motivate physical activity in adolescents: a field study , 2014, Behav. Inf. Technol..
[340] Karen Lee McGraa. The effects of persuasive motivational text messaging on adherence to diet and exercise programs across different personality traits , 2010 .
[341] John Daintith,et al. A Dictionary of Computing , 1986 .
[342] John Newell,et al. SMART MOVE - a smartphone-based intervention to promote physical activity in primary care: study protocol for a randomized controlled trial , 2013, Trials.
[343] R. Wing,et al. Ecological Momentary Assessment of the Relationship between Intention and Physical Activity Behavior in Bariatric Surgery Patients , 2013, International Journal of Behavioral Medicine.
[344] Sidney S. Fels,et al. Helping Me Helping You: Designing to Influence Health Behaviour through Social Connections , 2013, INTERACT.
[345] Hermie Hermens,et al. Tailoring real-time physical activity coaching systems: a literature survey and model , 2014, User Modeling and User-Adapted Interaction.
[346] Flora A. Antwi,et al. Effectiveness of web‐based programs on the reduction of childhood obesity in school‐aged children: a systematic review , 2012, JBI library of systematic reviews.
[347] E. Delp,et al. Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents , 2012, Journal of medical Internet research.
[348] A. Kaplan,et al. Users of the world, unite! The challenges and opportunities of Social Media , 2010 .
[349] Jyu-Lin Chen,et al. Efficacy of technology-based interventions for obesity prevention in adolescents: a systematic review , 2014, Adolescent health, medicine and therapeutics.
[350] Oren Zuckerman,et al. Deconstructing gamification: evaluating the effectiveness of continuous measurement, virtual rewards, and social comparison for promoting physical activity , 2014, Personal and Ubiquitous Computing.
[351] Behnoosh Hariri,et al. A personal assistive system for nutrient intake monitoring , 2011, Ubi-MUI '11.
[352] Elizabeth Denney-Wilson,et al. ‘TXT2BFiT’ a mobile phone-based healthy lifestyle program for preventing unhealthy weight gain in young adults: study protocol for a randomized controlled trial , 2013, Trials.
[353] Sarah J Clark,et al. Tailored mobile phone text messages as an adjunct to obesity treatment for adolescents , 2009, Journal of telemedicine and telecare.
[354] Willem van Mechelen,et al. Phone and e-mail counselling are effective for weight management in an overweight working population: a randomized controlled trial , 2009, BMC public health.
[355] B. Spring,et al. PDA+: A Personal Digital Assistant for Obesity Treatment - An RCT testing the use of technology to enhance weight loss treatment for veterans , 2011, BMC public health.
[356] David Akopian,et al. Assessing Media Access and Use Among Latina Adolescents to Inform Development of a Physical Activity Promotion Intervention Incorporating Text Messaging , 2014, Health promotion practice.
[357] Kay Connelly,et al. Text messages for encouraging physical activity Are they effective after the novelty effect wears off? , 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.
[358] L. Lester,et al. Reaching Perinatal Women Online: The Healthy You, Healthy Baby Website and App , 2014, Journal of obesity.
[359] John R. Sirard,et al. Smart phones are useful for food intake and physical activity surveys , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[360] Shlomo Berkovsky,et al. Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial , 2012, Journal of medical Internet research.
[361] Min-Jeong Park,et al. Evaluation of mobile phone and Internet intervention on waist circumference and blood pressure in post-menopausal women with abdominal obesity , 2012, Int. J. Medical Informatics.
[362] W. Nilsen,et al. Health behavior models in the age of mobile interventions: are our theories up to the task? , 2011, Translational behavioral medicine.
[363] Mithra Vankipuram,et al. ReadySteady: App for Accelerometer-based Activity Monitoring and Wellness-Motivation Feedback System for Older Adults , 2012, AMIA.
[364] Fabio Casati,et al. Motivating and assisting physical exercise in independently living older adults: A pilot study , 2013, Int. J. Medical Informatics.
[365] Ilkka Korhonen,et al. Use of a mobile phone diary for observing weight management and related behaviours , 2010, Journal of telemedicine and telecare.
[366] S. Biddle,et al. Interventions designed to reduce sedentary behaviours in young people: a review of reviews , 2013, British Journal of Sports Medicine.
[367] C. Vandelanotte,et al. Qualitative and quantitative research into the development and feasibility of a video-tailored physical activity intervention , 2011, The international journal of behavioral nutrition and physical activity.
[368] David Kil,et al. The Impact of an Online Social Network With Wireless Monitoring Devices on Physical Activity and Weight Loss , 2013, Journal of primary care & community health.
[369] W. Rief,et al. Loss of control eating and psychological maintenance in children: an ecological momentary assessment study. , 2009, Behaviour research and therapy.
[370] S. Bauer,et al. Enhancement of care through self-monitoring and tailored feedback via text messaging and their use in the treatment of childhood overweight. , 2010, Patient education and counseling.
[371] Kasikrit Damkliang,et al. A Preliminary Design of Recommended Nutrition and Energy Expenditure Application for Smartphone , 2014 .
[372] Hui-Huang Hsu,et al. A health management application with QR-Code input and rule inference , 2012, 2012 International Conference on Information Security and Intelligent Control.
[373] Rhys Tague,et al. Effectiveness of a Web- and Mobile Phone-Based Intervention to Promote Physical Activity and Healthy Eating in Middle-Aged Males: Randomized Controlled Trial of the ManUp Study , 2014, Journal of medical Internet research.
[374] Mobile phone-based smoking cessation interventions increase long-term quit rates compared with control programmes, but effects of the interventions are heterogeneous , 2013, Evidence-Based Nursing.
[375] Gerald Bieber,et al. Activity Recognition for Everyday Life on Mobile Phones , 2009, HCI.
[376] D. Kerr,et al. Evaluation of the Food and Nutrient Database for Dietary Studies for use with a mobile telephone food record. , 2011, Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems.
[377] M. Sevick,et al. Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes , 2010, Journal of Behavioral Medicine.
[378] Stephen S. Intille,et al. Design of a wearable physical activity monitoring system using mobile phones and accelerometers , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[379] Jianwen Cai,et al. A randomized trial of a Facebook-based physical activity intervention for young adult cancer survivors , 2013, Journal of Cancer Survivorship.
[380] Stein Olav Skrøvseth,et al. Model driven mobile care for patients with type 1 diabetes. , 2012, Studies in health technology and informatics.
[381] Jerilyn K Allen,et al. Mobile phone interventions to increase physical activity and reduce weight: a systematic review. , 2013, The Journal of cardiovascular nursing.
[382] Rebecca Armstrong,et al. Cochrane Update. 'Scoping the scope' of a cochrane review. , 2011, Journal of public health.
[383] Alison Oberne,et al. Mobile phone-based behavioural interventions for health: A systematic review , 2013 .
[384] Sean T. Doherty,et al. A multi-sensor monitoring system of human physiology and daily activities. , 2012, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[385] R. Bubb,et al. Changes in fruit and vegetable consumption of third-grade students in body quest: food of the warrior, a 17-class childhood obesity prevention program. , 2014, Journal of nutrition education and behavior.
[386] Allison Cole,et al. Starting the Conversation - A Childhood Obesity Knowledge Project Using an App. , 2014, British journal of medicine and medical research.
[387] D. Spruijt-Metz,et al. Investigating Children's Physical Activity and Sedentary Behavior Using Ecological Momentary Assessment With Mobile Phones , 2011, Obesity.
[388] M. Lynch. Healthy Habits or Damaging Diets: An Exploratory Study of a Food Blogging Community , 2010, Ecology of food and nutrition.
[389] Jing Wang,et al. Physical activity self-monitoring and weight loss: 6-month results of the SMART trial. , 2011, Medicine and science in sports and exercise.
[390] J. Burke,et al. Feasibility Testing of an Automated Image-Capture Method to Aid Dietary Recall , 2011, European Journal of Clinical Nutrition.
[391] E. Delp,et al. Comparison of Known Food Weights with Image-Based Portion-Size Automated Estimation and Adolescents' Self-Reported Portion Size , 2012, Journal of diabetes science and technology.
[392] David E. Goodrich,et al. An Online Community Improves Adherence in an Internet-Mediated Walking Program. Part 1: Results of a Randomized Controlled Trial , 2010, Journal of medical Internet research.
[393] Paul Coulton,et al. Persuasive Mobile Health Applications , 2008, eHealth.
[394] Christopher D Gardner,et al. Using hand-held computer technologies to improve dietary intake. , 2008, American Journal of Preventive Medicine.
[395] Gerjo Kok,et al. Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool , 2013, Journal of medical Internet research.
[396] Yoshimi Fukuoka,et al. Qualitative exploration of the acceptability of a mobile phone and pedometer-based physical activity program in a diverse sample of sedentary women. , 2012, Public health nursing.
[397] Andrew T. Campbell,et al. BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing , 2014, Mobile Networks and Applications.
[398] Caj Södergård,et al. HyperFit: Hybrid media in personal nutrition and exercise management , 2008, PervasiveHealth.
[399] K. Patrick,et al. Outcomes of a 12-Month Technology-Based Intervention to Promote Weight Loss in Adolescents at Risk for Type 2 Diabetes , 2013, Journal of diabetes science and technology.
[400] Janine L. Wright,et al. Connecting Health and Technology (CHAT): protocol of a randomized controlled trial to improve nutrition behaviours using mobile devices and tailored text messaging in young adults , 2012, BMC Public Health.
[401] Peter Kastner,et al. A pilot study of mobile phone-based therapy for obese patients , 2008, Journal of telemedicine and telecare.
[402] Gunnar Hartvigsen,et al. A System for Monitoring Physical Activity Data Among People with Type 2 Diabetes , 2008, MIE.
[403] Dominique Brodbeck,et al. Persuasiveness of a Mobile Lifestyle Coaching Application Using Social Facilitation , 2006, PERSUASIVE.
[404] Mark Mingyi Young,et al. Twitter Me: Using Micro-blogging to Motivate Teenagers to Exercise , 2010, DESRIST.
[405] Jenine K Harris,et al. Communication about childhood obesity on Twitter. , 2014, American journal of public health.
[406] Corby K. Martin,et al. Measurement of children's food intake with digital photography and the effects of second servings upon food intake. , 2007, Eating behaviors.
[407] Nicholas D. Gilson,et al. Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review , 2014, Sports Medicine.
[408] Stavros Asimakopoulos,et al. Does Social User Experience Improve Motivation for Runners? - A Diary Study Comparing Mobile Health Applications , 2014, HCI.
[409] Pearl Pu,et al. Survey of Sensor-Based Personal Wellness Management Systems , 2013 .
[410] Teresa J. Sakraida,et al. Design, feasibility, and acceptability of an intervention using personal digital assistant-based self-monitoring in managing type 2 diabetes. , 2008, Contemporary clinical trials.
[411] R. Plotnikoff,et al. The nutrition and enjoyable activity for teen girls study: a cluster randomized controlled trial. , 2013, American journal of preventive medicine.
[412] Corby K. Martin,et al. Measuring food intake with digital photography. , 2014, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.
[413] Urbashi Mitra,et al. KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring , 2012, TECS.
[414] Nicole L. Nollen,et al. Mobile technology for obesity prevention: a randomized pilot study in racial- and ethnic-minority girls. , 2014, American journal of preventive medicine.
[415] Morwenna Kirwan,et al. Examining the use of evidence-based and social media supported tools in freely accessible physical activity intervention websites , 2014, International Journal of Behavioral Nutrition and Physical Activity.
[416] Luca Chittaro,et al. Smarter Phones for Healthier Lifestyles: An Adaptive Fitness Game , 2010, IEEE Pervasive Computing.
[417] M. Adams,et al. An Adaptive Physical Activity Intervention for Overweight Adults: A Randomized Controlled Trial , 2013, PloS one.
[418] Mashfiqui Rabbi,et al. Objective Measurement of Sociability and Activity: Mobile Sensing in the Community , 2011, The Annals of Family Medicine.
[419] David S. Ebert,et al. The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation , 2010, IEEE Journal of Selected Topics in Signal Processing.
[420] Beth Chaney,et al. Web 2.0 Chronic Disease Self-Management for Older Adults: A Systematic Review , 2013, Journal of medical Internet research.
[421] Joel J. P. C. Rodrigues,et al. Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach , 2014, Health Informatics J..
[422] David W. McDonald,et al. Activity sensing in the wild: a field trial of ubifit garden , 2008, CHI.
[423] N. Wedderkopp,et al. Study protocol. The Childhood Health, Activity, and Motor Performance School Study Denmark (The CHAMPS-study DK) , 2012, BMC Pediatrics.
[424] Janna D Stephens,et al. Technology-assisted weight management interventions: systematic review of clinical trials. , 2014, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[425] Genevieve Fridlund Dunton,et al. Assessing the Social and Physical Contexts of Children's Leisure-Time Physical Activity: An Ecological Momentary Assessment Study , 2012, American journal of health promotion : AJHP.
[426] Francesco Pinciroli,et al. A Web-Based Tool for Cooperating Behaviors in Eating and Physical Activity Control , 2009, Annual Review of Cybertherapy and Telemedicine.
[427] Sung Gyoo Park. Medicine and Science in Sports and Exercise , 1981 .
[428] Ryan J. Machtmes,et al. Parent-Targeted Mobile Phone Intervention to Increase Physical Activity in Sedentary Children: Randomized Pilot Trial , 2014, JMIR mHealth and uHealth.
[429] Diane K. Ehlers,et al. Middle-aged women's preferred theory-based features in mobile physical activity applications. , 2014, Journal of physical activity & health.
[430] Sidney S. Fels,et al. Online social networks for health behaviour change: Designing to increase socialization , 2014, Comput. Hum. Behav..
[431] Selma Limam Mansar,et al. A Usability Testing Experiment For A Localized Weight Loss Mobile Application , 2012 .
[432] N. Kaufman. Information technology in the service of diabetes prevention and treatment. , 2011, International journal of clinical practice. Supplement.
[433] David A. Larwin,et al. Decreasing Excessive Media Usage While Increasing Physical Activity , 2008, Behavior modification.
[434] M. Chuah,et al. Fitness Tour: a mobile application for combating obesity , 2011, MobileHealth '11.
[435] Daniel Arvidsson,et al. Energy cost of physical activities in children: validation of SenseWear Armband. , 2007, Medicine and science in sports and exercise.
[436] Kenneth Resnicow,et al. OMG Do Not Say LOL: Obese Adolescents' Perspectives on the Content of Text Messages to Enhance Weight Loss Efforts , 2011, Obesity.
[437] Elroy J. Aguiar,et al. The SHED-IT Community Trial: A randomised controlled trial of Internet- and paper-based weight loss programs tailored for overweight and obese men , 2012 .
[438] Joshua H. West,et al. Health Behavior Theories in Diet Apps , 2013 .
[439] Gunnar Hartvigsen,et al. Functionalities and input methods for recording food intake: A systematic review , 2013, Int. J. Medical Informatics.
[440] Melinda Neve,et al. Evaluating weight loss, website use, and attrition in commercial web-based weight loss programs , 2012 .
[441] Mingui Sun,et al. Imaged based estimation of food volume using circular referents in dietary assessment. , 2012, Journal of food engineering.
[442] J Robert Grove,et al. Benefits of habit‐based informational interventions: a randomised controlled trial of fruit and vegetable consumption , 2014, Australian and New Zealand journal of public health.
[443] R. Schiel,et al. An innovative telemedical support system to measure physical activity in children and adolescents with type 1 diabetes mellitus. , 2011, Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association.
[444] Sharon E. Straus,et al. Designing and evaluating a web-based self-management site for patients with type 2 diabetes - systematic website development and study protocol , 2012, BMC Medical Informatics and Decision Making.
[445] David N Cavallo. Using Online Social Network Technology To Increase Social Support For Physical Activity: The Internet Support For Healthy Associations Promoting Exercise (INSHAPE) Study , 2012 .
[446] Sherry L Pagoto,et al. The adoption and spread of a core-strengthening exercise through an online social network. , 2014, Journal of physical activity & health.
[447] D. Spruijt-Metz,et al. mHealth approaches to child obesity prevention: successes, unique challenges, and next directions , 2013, Translational behavioral medicine.
[448] J. Thompson,et al. A content analysis of healthy living blogs: evidence of content thematically consistent with dysfunctional eating attitudes and behaviors. , 2014, The International journal of eating disorders.
[449] Using electronic diaries to examine physical activity and other health behaviors of adults age 50+. , 2006, Journal of aging and physical activity.
[450] David S. Ebert,et al. Technology-assisted dietary assessment , 2008, Electronic Imaging.
[451] Ajay Divakaran,et al. Automatic food documentation and volume computation using digital imaging and electronic transmission. , 2010, Journal of the American Dietetic Association.
[452] Thomas A Louis,et al. Longitudinal Accuracy of Web-Based Self-Reported Weights: Results From the Hopkins POWER Trial , 2014, Journal of medical Internet research.
[453] Matthew Chalmers,et al. Shakra: Tracking and Sharing Daily Activity Levels with Unaugmented Mobile Phones , 2007, Mob. Networks Appl..
[454] Balázs Pintér,et al. Preclinical tests of an android based dietary logging application. , 2014, Studies in health technology and informatics.
[455] Edward Sazonov,et al. Recognition of household and athletic activities using smartshoe , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[456] K. Taira,et al. PP230-SUN THE IMPACT OF THE APPLICATION “iNST” DEVELOPMENT FOR NUTRITION SUPPORT FOR PATIENTS IN JAPAN , 2012 .
[457] Xiaoxiao Ma,et al. Analysis of an online health social network , 2010, IHI.
[458] Alexander P. Cotter,et al. Internet interventions to support lifestyle modification for diabetes management: a systematic review of the evidence. , 2014, Journal of diabetes and its complications.
[459] Marie Löf,et al. Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods , 2010, Journal of medical Internet research.
[460] Eleni Stroulia,et al. Smart-phone application design for lasting behavioral changes , 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.
[461] Alison Rein,et al. Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities , 2013, Journal of medical Internet research.
[462] J. Car,et al. Mobile phone messaging for preventive health care. , 2012, The Cochrane database of systematic reviews.
[463] K. Newton,et al. Pedometers and Text Messaging to Increase Physical Activity , 2009, Diabetes Care.
[464] Devin Mann,et al. Evidence-based strategies in weight-loss mobile apps. , 2013, American journal of preventive medicine.
[465] Janna Stephens,et al. "Smart" coaching to promote physical activity, diet change, and cardiovascular health. , 2011, The Journal of cardiovascular nursing.
[466] J. C. Huber,et al. Factors affecting acceptability and usability of technological approaches to diabetes self-management: a case study. , 2012, Diabetes technology & therapeutics.
[467] D R Bassett,et al. Validity of the Nike+Device During Walking and Running , 2009, International journal of sports medicine.
[468] Elroy J. Aguiar,et al. The SHED-IT community trial study protocol: a randomised controlled trial of weight loss programs for overweight and obese men , 2010, BMC public health.
[469] Alan Bauck,et al. Development and Implementation of a Tailored Self-assessment Tool in an Internet-based Weight Loss Maintenance Program , 2011, Clinical practice and epidemiology in mental health : CP & EMH.
[470] Burkhard Wünsche,et al. My Personal Trainer - An iPhone Application for Exercise Monitoring and Analysis , 2013, AUIC.
[471] A. Darzi,et al. Social networking strategies that aim to reduce obesity have achieved significant although modest results. , 2014, Health affairs.
[472] G. Kramer,et al. Identification of determinants for weight reduction in overweight and obese children and adolescents , 2010, Journal of telemedicine and telecare.
[473] William G. Griswold,et al. Usability and Feasibility of PmEB: A Mobile Phone Application for Monitoring Real Time Caloric Balance , 2006, 2006 Pervasive Health Conference and Workshops.
[474] Ilkka Korhonen,et al. Mobile Diary for Wellness Management—Results on Usage and Usability in Two User Studies , 2008, IEEE Transactions on Information Technology in Biomedicine.
[475] N. Joo,et al. Mobile phone short message service messaging for behaviour modification in a community-based weight control programme in Korea , 2007, Journal of telemedicine and telecare.
[476] Sean A. Munson,et al. Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity , 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.
[477] Brad Millington,et al. Smartphone Apps and the Mobile Privatization of Health and Fitness , 2014 .
[478] S. Going,et al. Dietary assessment tools using mobile technology , 2011 .
[479] C. Vandelanotte,et al. Do Participants’ Preferences for Mode of Delivery (Text, Video, or Both) Influence the Effectiveness of a Web-Based Physical Activity Intervention? , 2012, Journal of medical Internet research.
[480] L. Ransdell,et al. A Systematic Review of Information and Communication Technology–Based Interventions for Promoting Physical Activity Behavior Change in Children and Adolescents , 2011, Journal of medical Internet research.
[481] G. Eysenbach. What is e-health? , 2001, Journal of Medical Internet Research.
[482] Paul A Estabrooks,et al. Assessing the Internal and External Validity of Mobile Health Physical Activity Promotion Interventions: A Systematic Literature Review Using the RE-AIM Framework , 2013, Journal of medical Internet research.
[483] Joar Vittersø,et al. Increasing Physical Activity Efficiently: An Experimental Pilot Study of a Website and Mobile Phone Intervention , 2014, International journal of telemedicine and applications.
[484] Urbashi Mitra,et al. Recognition of physical activities in overweight Hispanic youth using KNOWME Networks. , 2012, Journal of physical activity & health.
[485] Justin Richards,et al. Remote and web 2.0 interventions for promoting physical activity. , 2013, The Cochrane database of systematic reviews.
[486] Huiru Zheng,et al. Smart self management: assistive technology to support people with chronic disease , 2010, Journal of telemedicine and telecare.
[487] Shlomo Berkovsky,et al. Mobile mentor: weight management platform , 2010, IUI '10.
[488] C. Foster,et al. Face-to-face versus remote and web 2.0 interventions for promoting physical activity. , 2013, The Cochrane database of systematic reviews.
[489] T. Wong,et al. Usability Test of an Interactive Dietary Recording , 2009 .
[490] F. Schellevis,et al. The effectiveness of text messages support for diabetes self-management: protocol of the TEXT4DSM study in the democratic Republic of Congo, Cambodia and the Philippines , 2013, BMC Public Health.
[491] B. Ainsworth,et al. Evaluation of a cell phone-based physical activity diary. , 2012, Medicine and science in sports and exercise.
[492] Emiliano Rodriguez-Sanchez,et al. Effectiveness of a smartphone application for improving healthy lifestyles, a randomized clinical trial (EVIDENT II): study protocol , 2014, BMC Public Health.
[493] Toshiyo Tamura,et al. Assessment of participant compliance with a Web-based home healthcare system for promoting specific health checkups , 2014 .
[494] Gabrielle Turner-McGrievy,et al. Information Processing Versus Social Cognitive Mediators of Weight Loss in a Podcast-Delivered Health Intervention , 2014, Health education & behavior : the official publication of the Society for Public Health Education.
[495] Christopher M. Wharton,et al. Dietary self-monitoring, but not dietary quality, improves with use of smartphone app technology in an 8-week weight loss trial. , 2014, Journal of nutrition education and behavior.
[496] A. Bryan,et al. Rebranding Exercise: There's an App for That , 2012, American journal of health promotion : AJHP.
[497] M. Koller,et al. PP199-MON EFFICACY OF AN INTERNET-BASED WEIGHT LOSS PROGRAM: A PROOF-OF-PRINCIPLE TRIAL , 2012 .
[498] Anh Dang-Viet Nguyen,et al. The Influence of Message Framing on Engagement with a Mobile Application for Motivating Exercise , 2011 .
[499] T. Powell-Wiley,et al. Randomized trial of nutrition education added to internet-based information and exercise at the work place for weight loss in a racially diverse population of overweight women , 2013, Nutrition & Diabetes.
[500] R. Hurling,et al. Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population , 2011, Journal of medical Internet research.
[501] J. Foreyt,et al. A randomized controlled trial of a community-based behavioral counseling program. , 2013, The American journal of medicine.
[502] Aart van Halteren,et al. Toward a persuasive mobile application to reduce sedentary behavior , 2013, Personal and Ubiquitous Computing.
[503] Alison L Marshall,et al. Iterative development of MobileMums: a physical activity intervention for women with young children , 2012, International Journal of Behavioral Nutrition and Physical Activity.
[504] Peter Kokol,et al. Exercise repetition detection for resistance training based on smartphones , 2012, Personal and Ubiquitous Computing.
[505] Jylana L. Sheats,et al. Harnessing Different Motivational Frames via Mobile Phones to Promote Daily Physical Activity and Reduce Sedentary Behavior in Aging Adults , 2013, PloS one.
[506] Hadi Kharrazi,et al. Increasing Physical Activity by Implementing a Behavioral Change Intervention Using Pervasive Personal Health Record System: An Exploratory Study , 2011, HCI.
[507] B. Spring,et al. Technology Interventions to Curb Obesity: A Systematic Review of the Current Literature , 2012, Current Cardiovascular Risk Reports.
[508] Rhys Tague,et al. Effectiveness of a website and mobile phone based physical activity and nutrition intervention for middle-aged males: Trial protocol and baseline findings of the ManUp Study , 2012, BMC Public Health.
[509] Margaret A. Powers,et al. Use of Internet Technology to Support Nutrition and Diabetes Self-Management Care , 2008 .
[510] Ioannis N. Kouris,et al. Mobile phone technologies and advanced data analysis towards the enhancement of diabetes self-management , 2010, Int. J. Electron. Heal..
[511] Emily Knight,et al. Health Promotion Through Primary Care: Enhancing Self-Management With Activity Prescription and mHealth , 2014, The Physician and sportsmedicine.
[512] R. Steele,et al. A meta-analytic review of eHealth interventions for pediatric health promoting and maintaining behaviors. , 2010, Journal of pediatric psychology.
[513] Da‐hong Wang,et al. Development of a new instrument for evaluating individuals' dietary intakes. , 2006, Journal of the American Dietetic Association.
[514] B. Fjeldsoe,et al. Social cognitive mediators of the effect of the MobileMums intervention on physical activity. , 2013, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[515] Sanjay Arora,et al. A mobile health intervention for inner city patients with poorly controlled diabetes: proof-of-concept of the TExT-MED program. , 2012, Diabetes technology & therapeutics.
[516] E. Delp,et al. Merging dietary assessment with the adolescent lifestyle. , 2014, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.
[517] Minna Kulju,et al. Active assistance technology reduces glycosylated hemoglobin and weight in individuals with type 2 diabetes: results of a theory-based randomized trial. , 2013, Diabetes technology & therapeutics.
[518] Rachel K. Johnson,et al. The use of a personal digital assistant for dietary self-monitoring does not improve the validity of self-reports of energy intake. , 2006, Journal of the American Dietetic Association.
[519] Taha B. M. J. Ouarda,et al. Change in BMI Accurately Predicted by Social Exposure to Acquaintances , 2013, PloS one.
[520] H. P. van der Ploeg,et al. A mobile health intervention for weight management among young adults: a pilot randomised controlled trial. , 2014, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.
[521] E. Molinari,et al. TECNOB Study: Ad Interim Results of a Randomized Controlled Trial of a Multidisciplinary Telecare Intervention for Obese Patients with Type-2 Diabetes , 2011, Clinical practice and epidemiology in mental health : CP & EMH.
[522] Megan E Rollo,et al. Trial of a mobile phone method for recording dietary intake in adults with type 2 diabetes: evaluation and implications for future applications , 2011, Journal of telemedicine and telecare.
[523] P. Morgan,et al. Engaging men in weight loss: Experiences of men who participated in the male only SHED-IT pilot study. , 2011, Obesity research & clinical practice.
[524] J. Car,et al. Mobile phone messaging for facilitating self-management of long-term illnesses. , 2012, The Cochrane database of systematic reviews.
[525] S. Boylan,et al. Public Health Messages: Why Are They Ineffective and What Can Be Done? , 2012, Current Obesity Reports.
[526] Y. Chae,et al. Evaluation of a mobile phone-based diet game for weight control , 2010, Journal of Telemedicine and Telecare.
[527] Engin Mendi,et al. Food intake monitoring system for mobile devices , 2013, 5th IEEE International Workshop on Advances in Sensors and Interfaces IWASI.
[528] Luc P de Witte,et al. User-centered development and testing of a monitoring system that provides feedback regarding physical functioning to elderly people , 2013, Patient preference and adherence.
[529] Ho-Jin Choi,et al. Semi-automated lifestyle manager for obesity , 2014, 2014 International Conference on Big Data and Smart Computing (BIGCOMP).
[530] H. Cole-Lewis,et al. Text messaging as a tool for behavior change in disease prevention and management. , 2010, Epidemiologic reviews.
[531] K. Ball,et al. Feasibility, acceptability and potential effectiveness of a mobile health (mHealth) weight management programme for New Zealand adults , 2014, BMC Obesity.
[532] Marco Bardus,et al. Effects of text messaging in addition to emails on physical activity among university and college employees in the UK , 2013, Journal of health services research & policy.
[533] Donna Spruijt-Metz,et al. Current mHealth technologies for physical activity assessment and promotion. , 2013, American journal of preventive medicine.
[534] J. West,et al. There ’ s an App for That : Content Analysis of Paid Health and Fitness Apps , 2018 .
[535] E. Vittinghoff,et al. Innovation to motivation--pilot study of a mobile phone intervention to increase physical activity among sedentary women. , 2010, Preventive medicine.
[536] M. J. Brooke,et al. Food and Drug Administration Regulation of Diabetes-Related mHealth Technologies , 2013, Journal of diabetes science and technology.
[537] J. Brug,et al. Apps to promote physical activity among adults: a review and content analysis , 2014, International Journal of Behavioral Nutrition and Physical Activity.
[538] Ilkka Korhonen,et al. Empowering Citizens for Well-being and Chronic Disease Management With Wellness Diary , 2010, IEEE Transactions on Information Technology in Biomedicine.
[539] Sri Hastuti Kurniawan,et al. Designing an application to motivate teenagers' physical activity , 2012, 2012 IEEE International Conference on Communications (ICC).
[540] Laurel A. Littlefield,et al. Evidence review of technology and dietary assessment. , 2010, Worldviews on evidence-based nursing.
[541] R. Weiler,et al. BJSM social media contributes to health policy rethink: a physical activity success story in Hertfordshire , 2013, British Journal of Sports Medicine.
[542] Anthony J. Maeder,et al. Hierarchical classifier approach to physical activity recognition via wearable smartphone tri-axial accelerometer , 2013, HIC.
[543] B. Popkin,et al. Development and validity of a 3-day smartphone assisted 24-hour recall to assess beverage consumption in a Chinese population: a randomized cross-over study. , 2014, Asia Pacific journal of clinical nutrition.
[544] Shlomo Berkovsky,et al. Mobile applications to support dietary change: highlighting the importance of evaluation context , 2012, CHI EA '12.
[545] Minna Isomursu,et al. Advise, Acknowledge, Grow and Engage: Design Principles for a Mobile Wellness Application to Support Physical Activity , 2013, Int. J. Mob. Hum. Comput. Interact..
[546] Sanjay Arora,et al. Gender Differences in Diabetes Self-Management: A Mixed-Methods Analysis of a Mobile Health Intervention for Inner-City Latino Patients , 2013, Journal of diabetes science and technology.
[547] M. Sriram Iyengar,et al. Social Network Analysis to Delineate Interaction Patterns That Predict Weight Loss Performance , 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.
[548] Clayton Lewis,et al. Designing for usability—key principles and what designers think , 1983, CHI '83.
[549] R. Petrella,et al. Effects of a 12-week remote health monitoring intervention on metabolic syndrome risk factors , 2011 .
[550] Adolfo Muñoz,et al. The Usefulness of Activity Trackers in Elderly with Reduced Mobility: A Case Study , 2013, MedInfo.
[551] L. Baur,et al. Two-year outcomes of an adjunctive telephone coaching and electronic contact intervention for adolescent weight-loss maintenance: the Loozit randomized controlled trial , 2013, International Journal of Obesity.
[552] Petri T. Helo,et al. Designing mobile interfaces using activity theory , 2008, Int. J. Mob. Commun..
[553] R. Hanning,et al. Dietary assessment and self-monitoring with nutrition applications for mobile devices. , 2012, Canadian journal of dietetic practice and research : a publication of Dietitians of Canada = Revue canadienne de la pratique et de la recherche en dietetique : une publication des Dietetistes du Canada.
[554] Genevieve F Dunton,et al. Investigating the impact of a smart growth community on the contexts of children's physical activity using Ecological Momentary Assessment. , 2012, Health & place.
[555] Kristin L. Schneider,et al. Tweeting it off: characteristics of adults who tweet about a weight loss attempt , 2014, J. Am. Medical Informatics Assoc..
[556] Nicholas Chen,et al. Toward Dietary Assessment via Mobile Phone Video Cameras. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[557] Dori M. Steinberg,et al. Daily Text Messaging for Weight Control Among Racial and Ethnic Minority Women: Randomized Controlled Pilot Study , 2013, Journal of medical Internet research.
[558] K. Kattelmann,et al. Control of Type 2 Diabetes Mellitus Using Interactive Internet‐Based Support on a Northern Plains Indian Reservation: A Pilot Study , 2007 .
[559] Tom Baranowski,et al. Let's get technical! Gaming and technology for weight control and health promotion in children. , 2012, Childhood obesity.
[560] A. Frood. Technology: A flavour of the future , 2010, Nature.
[561] Lisa Hartling,et al. Social media use among patients and caregivers: a scoping review , 2013, BMJ Open.
[562] N. Kaufman,et al. Advanced Technologies and Treatments for Diabetes Internet and information technology use in treatment of diabetes , 2010 .
[563] A. Stone,et al. Bringing the laboratory and clinic to the community: mobile technologies for health promotion and disease prevention. , 2013, Annual review of psychology.
[564] S. Bauer,et al. The effect of a short message service maintenance treatment on body mass index and psychological well‐being in overweight and obese children: a randomized controlled trial , 2012, Pediatric obesity.
[565] Mohd Anwar,et al. Kalico: A Smartphone Application for Health-Smart Menu Selection within a Budget , 2013, ICSH.
[566] R. Dahl,et al. Utilizing Ecological Momentary Assessment in Pediatric Obesity to Quantify Behavior, Emotion, and Sleep , 2010, Obesity.
[567] S. Weineland,et al. Acceptance and commitment therapy for bariatric surgery patients, a pilot RCT. , 2012, Obesity research & clinical practice.
[568] Gabrielle Turner-McGrievy,et al. Varying social media post types differentially impacts engagement in a behavioral weight loss intervention , 2014, Translational behavioral medicine.
[569] Emma Derbyshire,et al. Smartphone Medical Applications for Women's Health: What Is the Evidence-Base and Feedback? , 2013, International journal of telemedicine and applications.
[570] Rachel K. Johnson,et al. Personal Digital Assistants are Comparable to Traditional Diaries for Dietary Self-Monitoring During a Weight Loss Program , 2007, Journal of Behavioral Medicine.
[571] Riva G,et al. Interreality: The Experiential Use of Technology in the Treatment of Obesity , 2011, Clinical practice and epidemiology in mental health : CP & EMH.
[572] L. Tarassenko,et al. A real-time, mobile phone-based telemedicine system to support young adults with type 1 diabetes. , 2005, Informatics in primary care.
[573] Jeannie S. Huang,et al. Fit4Life: A weight loss intervention for children who have survived childhood leukemia , 2014, Pediatric blood & cancer.
[574] Exploring the Use of an iPhone App: A Novel Approach to Dietary Assessment , 2012 .
[575] C. Olson,et al. How an Online Intervention to Prevent Excessive Gestational Weight Gain Is Used and by Whom: A Randomized Controlled Process Evaluation , 2014, Journal of medical Internet research.
[576] L. Burke,et al. Using a personal digital assistant for self-monitoring influences diet quality in comparison to a standard paper record among overweight/obese adults. , 2011, Journal of the American Dietetic Association.
[577] I. Huybrechts,et al. Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. , 2012, International journal of epidemiology.
[578] J. Smyth,et al. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. , 2010, British journal of health psychology.
[579] Kevin Patrick,et al. Fruit and vegetable intake and eating behaviors mediate the effect of a randomized text-message based weight loss program. , 2013, Preventive medicine.
[580] M. Carter,et al. 'My Meal Mate' (MMM): validation of the diet measures captured on a smartphone application to facilitate weight loss. , 2013, The British journal of nutrition.
[581] M. Clarke,et al. A smartphone intervention for adolescent obesity: study protocol for a randomised controlled non-inferiority trial , 2014, Trials.
[582] R. Petrella,et al. Physical Activity Prescription and Remote Self-Monitoring Technologies: Can We Reduce Cardiovascular Disease Risk? , 2013 .
[583] Carrard Isabelle,et al. Acceptance and Efficacy of a Guided Internet Self-Help Treatment Program for Obese Patients with Binge Eating Disorder , 2011, Clinical Practice and Epidemiology in Mental Health : CP & EMH.
[584] Djamel Belaïd,et al. Using Adaptive Feedback for Promoting Awareness about Physical Activeness in Adults , 2013, 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing.
[585] Bik Chu Chow,et al. Using Environmental Stimuli in Physical Activity Intervention for School Teachers: A Pilot Study , 2008 .
[586] Jessica Y. Breland,et al. Adherence to evidence-based guidelines among diabetes self-management apps , 2013, Translational behavioral medicine.
[587] J. Ioannidis,et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. , 2009, Journal of clinical epidemiology.
[588] Shoko Tani,et al. Development of a Health Management Support System for Patients with Diabetes Mellitus at Home , 2010, Journal of Medical Systems.
[589] Jamie Guillory. Social Support, Psychosocial Resources And Eating: Using Social Media To Encourage Healthy Eating , 2013 .
[590] Reijo Savolainen. Dietary blogs as sites of informational and emotional support , 2010, Inf. Res..
[591] Jesús Favela,et al. 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (pervasivehealth) and Workshops , 2022 .
[592] David Cowan. Evaluation of Nutritional Quality Through a Counselor Administered Weight Loss Program Utilizing a Smart Phone App , 2011 .
[593] R. Shaw. A Mobile Health Intervention to Sustain Recent Weight loss , 2012 .
[594] Ben Kirman,et al. Motivating physical activity at work: using persuasive social media for competitive step counting , 2010, MindTrek.
[595] Bree Holtz,et al. Comparison of Veteran experiences of low-cost, home-based diet and exercise interventions. , 2014, Journal of rehabilitation research and development.
[596] N. Durant,et al. Internet-Based Physical Activity Interventions , 2014, American journal of lifestyle medicine.
[597] Karen Glanz,et al. Text messaging to motivate walking in older African Americans: a randomized controlled trial. , 2013, American journal of preventive medicine.
[598] Luis Fernández-Luque,et al. Exergames for elderly: Social exergames to persuade seniors to increase physical activity , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.
[599] B. Spring,et al. Integrating technology into standard weight loss treatment: a randomized controlled trial. , 2013, JAMA internal medicine.
[600] Mark Tomlinson,et al. Point of care in your pocket: a research agenda for the field of m-health. , 2012, Bulletin of the World Health Organization.
[601] R. Wing,et al. B-MOBILE - A Smartphone-Based Intervention to Reduce Sedentary Time in Overweight/Obese Individuals: A Within-Subjects Experimental Trial , 2014, PloS one.
[602] Stefan Göbel,et al. Cloud-based games for health: serious games and social media as multimedia technologies for healthcare , 2012, CMBAS-EH '12.
[603] Ye Li,et al. Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone , 2013, Int. J. Distributed Sens. Networks.
[604] Corneel Vandelanotte,et al. What Kinds of Website and Mobile Phone–Delivered Physical Activity and Nutrition Interventions Do Middle-Aged Men Want? , 2013, Journal of health communication.
[605] A. Johnstone,et al. The technology of obesity: prevention and treatment. , 2010 .
[606] N. Tettey. An online evaluation of a new web-based source of information on eating healthy and being active designed for African American women: Exploring relationships among personal-level variables and website ratings , 2010 .
[607] J. Car,et al. Smartphone and tablet self management apps for asthma. , 2013, The Cochrane database of systematic reviews.
[608] Jo Salmon,et al. Rationale and study protocol for the 'active teen leaders avoiding screen-time' (ATLAS) group randomized controlled trial: an obesity prevention intervention for adolescent boys from schools in low-income communities. , 2014, Contemporary clinical trials.
[609] David W. McDonald,et al. Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays , 2008, UbiComp.
[610] Gaurav S. Sukhatme,et al. Towards practical energy expenditure estimation with mobile phones , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.
[611] M. Campbell,et al. What is a pilot or feasibility study? A review of current practice and editorial policy , 2010, BMC medical research methodology.
[612] A. Knowlden,et al. Theory of reasoned action and theory of planned behavior-based dietary interventions in adolescents and young adults: a systematic review , 2014, Adolescent health, medicine and therapeutics.
[613] Ryan J. Shaw,et al. Short message service (SMS) text messaging as an intervention medium for weight loss: A literature review , 2012, Health Informatics J..
[614] Sun Kook Yoo,et al. Integrated Solution for Physical Activity Monitoring Based on Mobile Phone and PC , 2011, Healthcare informatics research.
[615] R. Petrella,et al. Remote Monitoring Technologies for the Prevention of Metabolic Syndrome: The Diabetes and Technology for Increased Activity (DaTA) Study , 2011, Journal of diabetes science and technology.
[616] A. Bauman,et al. Would you Find Thirty online? Website use in a Western Australian physical activity campaign. , 2013, Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals.
[617] Vineet Chopra,et al. The Role of Social Media in Online Weight Management: Systematic Review , 2013, Journal of medical Internet research.
[618] Cem Ersoy,et al. A Review and Taxonomy of Activity Recognition on Mobile Phones , 2013 .
[619] Bruno M. C. Silva,et al. A new mobile ubiquitous computing application to control obesity: SapoFit , 2013, Informatics for health & social care.
[620] Hung T. Nguyen,et al. Advanced portable remote monitoring system for the regulation of treadmill running exercises , 2014, Artif. Intell. Medicine.
[621] L. Baur,et al. A randomised controlled trial of a community-based healthy lifestyle program for overweight and obese adolescents: the Loozit® study protocol , 2009, BMC public health.
[622] A. Haines,et al. The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis , 2013, PLoS medicine.
[623] Let's face it: patient and parent perspectives on incorporating a Facebook group into a multidisciplinary weight management program. , 2013, Childhood obesity.
[624] Zhiwei Zhu,et al. Recognition and volume estimation of food intake using a mobile device , 2009, 2009 Workshop on Applications of Computer Vision (WACV).
[625] Geraldo Xexéo,et al. SmartRabbit: A Mobile Exergame Using Geolocation , 2011, 2011 Brazilian Symposium on Games and Digital Entertainment.
[626] Brian Caulfield,et al. An investigation into non-invasive physical activity recognition using smartphones , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[627] Chi-Hong Tseng,et al. Effectiveness of a Smartphone Application for Weight Loss Compared With Usual Care in Overweight Primary Care Patients , 2014, Annals of Internal Medicine.
[628] Kemberlee Bonnet,et al. Real-Time Social Support Through a Mobile Virtual Community to Improve Healthy Behavior in Overweight and Sedentary Adults: A Focus Group Analysis , 2011, Journal of medical Internet research.
[629] Audie A Atienza,et al. Promoting physical activity through hand-held computer technology. , 2008, American journal of preventive medicine.
[630] Keiji Yanai,et al. Real-Time Mobile Food Recognition System , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[631] Gunnar Hartvigsen,et al. Mobile Health Applications to Assist Patients with Diabetes: Lessons Learned and Design Implications , 2012, Journal of diabetes science and technology.
[632] P. Timsina,et al. Mobile Applications for Diabetes Self-Management: Status and Potential , 2013, Journal of diabetes science and technology.
[633] S. Kachnowski,et al. A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions , 2011, Journal of telemedicine and telecare.
[634] D. Bond,et al. Review of Innovations in Digital Health Technology to Promote Weight Control , 2014, Current Diabetes Reports.
[635] Younhee Jeong,et al. A Web-based health promotion program for patients with metabolic syndrome. , 2014, Asian nursing research.
[636] B. Swinburn,et al. Knowledge translation and exchange: Enhancing communication for best practice in obesity prevention , 2013 .
[637] P. Stumbo. New technology in dietary assessment: a review of digital methods in improving food record accuracy , 2013, Proceedings of the Nutrition Society.