Effectiveness of Computer-Tailored Health Communication in Increasing Physical Activity in People With or at Risk of Long-Term Conditions: Systematic Review and Meta-Analysis
暂无分享,去创建一个
[1] K. Khunti,et al. Promoting physical activity in a multi-ethnic population at high risk of diabetes: the 48-month PROPELS randomised controlled trial , 2021, BMC Medicine.
[2] H. de Vries,et al. A Web-Based Computer-Tailored Program to Improve Treatment Adherence in Patients With Type 2 Diabetes: Randomized Controlled Trial , 2021, Journal of Medical Internet Research.
[3] A. Beleigoli,et al. Personalized Web-Based Weight Loss Behavior Change Program With and Without Dietitian Online Coaching for Adults With Overweight and Obesity: Randomized Controlled Trial , 2020, Journal of medical Internet research.
[4] E. Mayo-Wilson,et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews , 2020, BMJ.
[5] Enhad A. Chowdhury,et al. Effect of novel technology-enabled multidimensional physical activity feedback in primary care patients at risk of chronic disease – the MIPACT study: a randomised controlled trial , 2020, International Journal of Behavioral Nutrition and Physical Activity.
[6] A. Janati,et al. Population, Intervention, Comparison, Outcomes and Study (PICOS) design as a framework to formulate eligibility criteria in systematic reviews , 2020, Emergency Medicine Journal.
[7] P. Verboon,et al. The Effect of Active Plus, a Computer-Tailored Physical Activity Intervention, on the Physical Activity of Older Adults with Chronic Illness(es)—A Cluster Randomized Controlled Trial , 2020, International journal of environmental research and public health.
[8] Brianna S Fjeldsoe,et al. Feasibility, acceptability and efficacy of a text message-enhanced clinical exercise rehabilitation intervention for increasing ‘whole-of-day’ activity in people living with and beyond cancer , 2019, BMC Public Health.
[9] L. Trinh,et al. A systematic review and meta-analysis of adherence to physical activity interventions among three chronic conditions: cancer, cardiovascular disease, and diabetes , 2019, BMC Public Health.
[10] K. Courtney,et al. Tailored mobile text messaging interventions targeting type 2 diabetes self-management: A systematic review and a meta-analysis , 2019, Digital health.
[11] D. Warburton,et al. Effectiveness of Approaches to Increase Physical Activity Behavior to Prevent Chronic Disease in Adults: A Brief Commentary , 2019, Journal of clinical medicine.
[12] Kei Long Cheung,et al. How recommender systems could support and enhance computer-tailored digital health programs: A scoping review , 2019, Digital health.
[13] Luis Fernandez-Luque,et al. A recommender system to quit smoking with mobile motivational messages: study protocol for a randomized controlled trial , 2018, Trials.
[14] H. de Vries,et al. Short-term efficacy of a computer-tailored physical activity intervention for prostate and colorectal cancer patients and survivors: a randomized controlled trial , 2018, International Journal of Behavioral Nutrition and Physical Activity.
[15] Trevor Cohen,et al. Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions , 2018, Journal of participatory medicine.
[16] R. Whittaker,et al. Effectiveness of text message based, diabetes self management support programme (SMS4BG): two arm, parallel randomised controlled trial , 2018, British Medical Journal.
[17] Peter Scarborough,et al. Systematic review and meta-analysis of remotely delivered interventions using self-monitoring or tailored feedback to change dietary behavior , 2018, The American journal of clinical nutrition.
[18] Sameer S. Kadri,et al. Body-mass index and all-cause mortality , 2017, The Lancet.
[19] P. Verboon,et al. Long-term effects of a web-based cancer aftercare intervention on moderate physical activity and vegetable consumption among early cancer survivors: a randomized controlled trial , 2017, International Journal of Behavioral Nutrition and Physical Activity.
[20] Stephen Sutton,et al. IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior , 2016, Journal of medical Internet research.
[21] M. Searl,et al. Text to Move: A Randomized Controlled Trial of a Text-Messaging Program to Improve Physical Activity Behaviors in Patients With Type 2 Diabetes Mellitus , 2016, Journal of medical Internet research.
[22] L. Palaniappan,et al. Improving diet, activity and wellness in adults at risk of diabetes: randomized controlled trial , 2016, Nutrition & Diabetes.
[23] Julian Wienert,et al. Effectiveness of a Web-Based Computer-Tailored Multiple-Lifestyle Intervention for People Interested in Reducing their Cardiovascular Risk: A Randomized Controlled Trial , 2016, Journal of medical Internet research.
[24] Michel Moreau,et al. Effectiveness of Computer Tailoring Versus Peer Support Web-Based Interventions in Promoting Physical Activity Among Insufficiently Active Canadian Adults With Type 2 Diabetes: Protocol for a Randomized Controlled Trial , 2016, JMIR research protocols.
[25] Max J. Western,et al. Multidimensional individualised Physical ACTivity (Mi-PACT) – a technology-enabled intervention to promote physical activity in primary care: study protocol for a randomised controlled trial , 2015, Trials.
[26] Rebecca E. Lee,et al. An Interactive Computer Session to Initiate Physical Activity in Sedentary Cardiac Patients: Randomized Controlled Trial , 2015, Journal of medical Internet research.
[27] R. Plotnikoff,et al. Main outcomes of the Move More for Life Trial: a randomised controlled trial examining the effects of tailored‐print and targeted‐print materials for promoting physical activity among post‐treatment breast cancer survivors , 2015, Psycho-oncology.
[28] P. Vandervoort,et al. Medium-Term Effectiveness of a Comprehensive Internet-Based and Patient-Specific Telerehabilitation Program With Text Messaging Support for Cardiac Patients: Randomized Controlled Trial , 2015, Journal of medical Internet research.
[29] H. de Vries,et al. A randomized controlled trial evaluating the effectiveness of a web-based, computer-tailored self-management intervention for people with or at risk for COPD , 2015, International journal of chronic obstructive pulmonary disease.
[30] C. Celis-Morales,et al. Effect of web-based tailored lifestyle interventions on fruit and vegetable consumption in adults: A systematic review and meta-analysis of randomised controlled trials , 2015, Proceedings of the Nutrition Society.
[31] Sijia Yang,et al. Constructing Recommendation Systems for Effective Health Messages Using Content, Collaborative, and Hybrid Algorithms , 2015 .
[32] Stephanie Taylor,et al. A rapid synthesis of the evidence on interventions supporting self-management for people with long-term conditions (PRISMS Practical systematic Review of Self-Management Support for long-term conditions) , 2014 .
[33] S. Noar,et al. A Meta-Analysis of Web-Delivered Tailored Health Behavior Change Interventions , 2013, Journal of health communication.
[34] C. Abraham,et al. The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions , 2013, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.
[35] J. Larry Durstine,et al. Chronic disease and the link to physical activity , 2013 .
[36] J. Brug,et al. Can Multiple Lifestyle Behaviours Be Improved in People with Familial Hypercholesterolemia? Results of a Parallel Randomised Controlled Trial , 2012, PloS one.
[37] S. Noar,et al. Reporting standards for studies of tailored interventions. , 2012, Health education research.
[38] W. Demark-Wahnefried,et al. Long-term physical activity outcomes of home-based lifestyle interventions among breast and prostate cancer survivors , 2012, Supportive Care in Cancer.
[39] Peter Rudd,et al. A Culturally Adapted Telecommunication System to Improve Physical Activity, Diet Quality, and Medication Adherence Among Hypertensive African–Americans: A Randomized Controlled Trial , 2012, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.
[40] G. Godin,et al. Effectiveness of a computer-tailored print-based physical activity intervention among French Canadians with type 2 diabetes in a real-life setting. , 2011, Health education research.
[41] Sonja Feist-Price,et al. Using computer technology for HIV prevention among African-Americans: development of a tailored information program for safer sex (TIPSS). , 2011, Health education research.
[42] B. Fernhall,et al. Exercise and Type 2 Diabetes , 2010, Diabetes Care.
[43] J. Prochaska,et al. A meta-analysis of computer-tailored interventions for health behavior change. , 2010, Preventive medicine.
[44] Marco Pahor,et al. Evidence regarding the benefits of physical exercise. , 2010, Archives of internal medicine.
[45] Ralf Schwarzer,et al. Modelando el cambio en el comportamiento de salud: Cómo predecir y modificar la adopción y el mantenimiento de comportamientos de salud/Modeling Health Behavior Change: How to Predict and Modify the Adoption and Maintenance of Health Behaviors , 2009 .
[46] C. Abraham,et al. Effective techniques in healthy eating and physical activity interventions: a meta-regression. , 2009, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[47] Cliona Ni Mhurchu,et al. Does tailoring make a difference? A systematic review of the long-term effectiveness of tailored nutrition education for adults. , 2009, Nutrition reviews.
[48] Juliann Cortese,et al. Computer-tailored health interventions delivered over the Web: review and analysis of key components. , 2009, Patient education and counseling.
[49] A. Kriska,et al. Role of physical activity in diabetes management and prevention. , 2008, Journal of the American Dietetic Association.
[50] A. Moyer,et al. Tailored interventions to promote mammography screening: a meta-analytic review. , 2007, Preventive medicine.
[51] S. Noar,et al. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. , 2007, Psychological bulletin.
[52] W. Demark-Wahnefried. Print-to-Practice: Designing Tailored Print Materials to Improve Cancer Survivors' Dietary and Exercise Practices in the FRESH START Trial. , 2007, Nutrition today.
[53] E. Higgins,et al. Value From Regulatory Fit , 2005 .
[54] D. Altman,et al. Measuring inconsistency in meta-analyses , 2003, BMJ : British Medical Journal.
[55] Abdullah Al Mamun,et al. Obesity in Adulthood and Its Consequences for Life Expectancy: A Life-Table Analysis , 2003, Annals of Internal Medicine.
[56] F. Bull,et al. Effects of tailored, personalized and general health messages on physical activity. , 1999, Patient education and counseling.
[57] P. Lachenbruch. Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .
[58] W. Rakowski,et al. Stages of change and decisional balance for 12 problem behaviors. , 1994, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.