Promising approaches of computer-supported dietary assessment and management - Current research status and available applications

PURPOSE The aim of this review was to analyze computer-based tools for dietary management (including web-based and mobile devices) from both scientific and applied perspectives, presenting advantages and disadvantages as well as the state of validation. METHODS For this cross-sectional analysis, scientific results from 41 articles retrieved via a medline search as well as 29 applications from online markets were identified and analyzed. RESULTS Results show that many approaches computerize well-established existing nutritional concepts for dietary assessment, e.g., food frequency questionnaires (FFQ) or dietary recalls (DR). Both food records and barcode scanning are less prominent in research but are frequently offered by commercial applications. Integration with a personal health record (PHR) or a health care workflow is suggested in the literature but is rarely found in mobile applications. CONCLUSIONS It is expected that employing food records for dietary assessment in research settings will be increasingly used when simpler interfaces, e.g., barcode scanning techniques, and comprehensive food databases are applied, which can also support user adherence to dietary interventions and follow-up phases of nutritional studies.

[1]  B A Swinburn,et al.  Diet, nutrition and the prevention of excess weight gain and obesity , 2004, Public Health Nutrition.

[2]  A F Subar,et al.  Food Intake Recording Software System, version 4 (FIRSSt4): a self-completed 24-h dietary recall for children. , 2014, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[3]  L. Serra-Majem,et al.  A review of the use of information and communication technologies for dietary assessment , 2009, British Journal of Nutrition.

[4]  L. Arab,et al.  Validity of a multipass, web-based, 24-hour self-administered recall for assessment of total energy intake in blacks and whites. , 2011, American journal of epidemiology.

[5]  Prem Timsina,et al.  A systematic review of IT for diabetes self-management: Are we there yet? , 2013, Int. J. Medical Informatics.

[6]  C. Knai,et al.  Food and health in Europe: a new basis for action. , 2004, WHO regional publications. European series.

[7]  S. Ng,et al.  An approach to monitor food and nutrition from "factory to fork". , 2015, Journal of the Academy of Nutrition and Dietetics.

[8]  M. Sevick,et al.  Self-monitoring in weight loss: a systematic review of the literature. , 2011, Journal of the American Dietetic Association.

[9]  A. Metspalu,et al.  Feasibility of innovative dietary assessment in epidemiological studies using the approach of combining different assessment instruments , 2011, Public Health Nutrition.

[10]  E. Delp,et al.  Evidence-based development of a mobile telephone food record. , 2010, Journal of the American Dietetic Association.

[11]  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.

[12]  G. Niemeyer,et al.  Probabilistic Evolving Meal Detection and Estimation of Meal Total Glucose Appearance , 2009, Journal of diabetes science and technology.

[13]  J Graham Thomas,et al.  Health-E-Call, a Smartphone-Assisted Behavioral Obesity Treatment: Pilot Study , 2013, JMIR mHealth and uHealth.

[14]  M. Sevick,et al.  Using mHealth technology to enhance self-monitoring for weight loss: a randomized trial. , 2012, American journal of preventive medicine.

[15]  William T Riley,et al.  Evaluation of a web-based, pictorial diet history questionnaire , 2009, Public Health Nutrition.

[16]  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.

[17]  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.

[18]  C. Nowson,et al.  Dietary Salt Intake, Sugar-Sweetened Beverage Consumption, and Obesity Risk , 2013, Pediatrics.

[19]  Hyeoun-Ae Park,et al.  Development and formative evaluation of a web-based self-management exercise and diet intervention program with tailored motivation and action planning for cancer survivors. , 2013 .

[20]  D. Tate,et al.  Perinatal mortality and congenital anomalies in babies of women with type 1 or type 2 diabetes in England, Wales, and Northern Ireland: population based study , 2006, BMJ : British Medical Journal.

[21]  M. Sevick,et al.  The Effect of Electronic Self‐Monitoring on Weight Loss and Dietary Intake: A Randomized Behavioral Weight Loss Trial , 2011, Obesity.

[22]  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.

[23]  Jennifer L. Crafts,et al.  Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall. , 2010, Journal of the American Dietetic Association.

[24]  Gunnar Hartvigsen,et al.  Mobile Health Applications to Assist Patients with Diabetes: Lessons Learned and Design Implications , 2012, Journal of diabetes science and technology.

[25]  P. Timsina,et al.  Mobile Applications for Diabetes Self-Management: Status and Potential , 2013, Journal of diabetes science and technology.

[26]  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.

[27]  Aileen Robertson Food and Health in Europe: a new basis for action. WHO Regional Office for Europe. 2004 , 2004 .

[28]  Audie A Atienza,et al.  A review of eHealth interventions for physical activity and dietary behavior change. , 2007, American journal of preventive medicine.

[29]  A. Subar,et al.  Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24). , 2009, Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems.

[30]  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.

[31]  Johannes Brug,et al.  Evaluation of the Web-based computer-tailored FATaintPHAT intervention to promote energy balance among adolescents: results from a school cluster randomized trial. , 2012, Archives of pediatrics & adolescent medicine.

[32]  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.

[33]  L. Neville,et al.  Computer-tailored dietary behaviour change interventions: a systematic review , 2009, Health education research.

[34]  Julie B. Wang,et al.  Web‐based self‐monitoring for weight loss among overweight/obese women at increased risk for breast cancer: the HELP pilot study , 2013, Psycho-oncology.

[35]  C. Gore-felton,et al.  A review of efficacious technology-based weight-loss interventions: five key components. , 2010, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[36]  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.

[37]  F. Hu,et al.  Pro v Con Debate: Role of sugar sweetened beverages in obesity Resolved: there is sufficient scientific evidence that decreasing sugar-sweetened beverage consumption will reduce the prevalence of obesity and obesity-related diseases , 2013 .

[38]  S. Leatherdale,et al.  Reliability and validity of the weight status and dietary intake measures in the COMPASS questionnaire: are the self-reported measures of body mass index (BMI) and Canada’s food guide servings robust? , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[39]  Laurel A. Littlefield,et al.  Evidence review of technology and dietary assessment. , 2010, Worldviews on evidence-based nursing.

[40]  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.

[41]  J. Wardle,et al.  The association between weight loss and engagement with a web-based food and exercise diary in a commercial weight loss programme: a retrospective analysis , 2011, The international journal of behavioral nutrition and physical activity.

[42]  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.

[43]  I. Huybrechts,et al.  Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. , 2012, International journal of epidemiology.

[44]  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.

[45]  S. Goyal,et al.  Mobile phone health apps for diabetes management: Current evidence and future developments , 2013, QJM : monthly journal of the Association of Physicians.

[46]  Jean Harvey-Berino,et al.  Internet-based weight control: the relationship between web features and weight loss. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[47]  M. Martínez-González,et al.  The role of diet in the prevention of type 2 diabetes. , 2011, Nutrition, metabolism, and cardiovascular diseases : NMCD.

[48]  Joyce M Lee,et al.  The Promise and Peril of Mobile Health Applications for Diabetes and Endocrinology , 2013, Pediatric diabetes.

[49]  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.

[50]  P. Morgan,et al.  Can a Web-based food record accurately assess energy intake in overweight and obese women? A pilot study. , 2013, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[51]  P. Home,et al.  Management of type 2 diabetes: NICE guidelines. , 2009, Clinical medicine.

[52]  Edward J. Delp,et al.  An image analysis system for dietary assessment and evaluation , 2010, 2010 IEEE International Conference on Image Processing.

[53]  Gunnar Hartvigsen,et al.  Functionalities and input methods for recording food intake: A systematic review , 2013, Int. J. Medical Informatics.

[54]  W. Kroeze,et al.  A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors , 2006, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[55]  Da Tao,et al.  Does the use of consumer health information technology improve outcomes in the patient self-management of diabetes? A meta-analysis and narrative review of randomized controlled trials , 2014, Int. J. Medical Informatics.

[56]  David S. Ebert,et al.  An Overview of the Technology Assisted Dietary Assessment Project at Purdue University , 2010, 2010 IEEE International Symposium on Multimedia.

[57]  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.

[58]  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.

[59]  G. Charpentier,et al.  Telemedicine and diabetes: achievements and prospects. , 2011, Diabetes & metabolism.

[60]  Audie A Atienza,et al.  Mobile health technology evaluation: the mHealth evidence workshop. , 2013, American journal of preventive medicine.

[61]  T. Baranowski,et al.  Formative research of a quick list for an automated self-administered 24-hour dietary recall. , 2007, Journal of the American Dietetic Association.

[62]  Kaberi Dasgupta,et al.  Nutritional Education Through Internet-Delivered Menu Plans Among Adults With Type 2 Diabetes Mellitus: Pilot Study , 2013, JMIR research protocols.

[63]  Eunji Lee,et al.  Review of Mobile Terminal-Based Tools for Diabetes Diet Management , 2011, MIE.

[64]  Christopher D Gardner,et al.  Using hand-held computer technologies to improve dietary intake. , 2008, American Journal of Preventive Medicine.

[65]  H Boeing,et al.  Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies , 2014, European Journal of Clinical Nutrition.

[66]  James T Tufano,et al.  Designing mobile dietary management support technologies for people with diabetes , 2008, Journal of telemedicine and telecare.

[67]  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.

[68]  Deborah Estrin,et al.  Identifying preferences for mobile health applications for self-monitoring and self-management: Focus group findings from HIV-positive persons and young mothers , 2013, Int. J. Medical Informatics.

[69]  David Wilkins,et al.  Systematic reviews of and integrated report on the quantitative, qualitative and economic evidence base for the management of obesity in men. , 2014, Health technology assessment.

[70]  J Brug,et al.  Process evaluation of FATaintPHAT, a computer-tailored intervention to prevent excessive weight gain among Dutch adolescents. , 2013, Health promotion international.