Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions

In this extensive review of behavioral digital obesity interventions, we reviewed randomized control trials aimed at weight loss or maintaining weight loss and identifying persuasive categories and principles that drive these interventions. The following databases were searched for long-term obesity interventions: Medline, PsycINFO, Academic Search Complete, CINAHL and Scopus. The inclusion criteria included the following search terms: obesity, overweight, weight reduction, weight loss, obesity management, and diet control. Additional criteria included randomized control trial, ≥ 6 months intervention, ≥ 100 participants and must include persuasive technology. Forty-six publications were in the final review. Primary task support was the most frequently utilized persuasive system design (PSD) category and self-monitoring was the most utilized PSD principle. Behavioral obesity interventions that utilized PSD with a behavior change theory more frequently produced statistically significant weight loss findings. Persuasive technology and PSD in digital health play a significant role in the management and improvement of obesity especially when aligned with behavior change theories. Understanding which PSD categories and principles work best for behavioral obesity interventions is critical and future interventions might be more effective if they were based on these specific PSD categories and principles.

[1]  Elizabeth Murray,et al.  Interactive Health Communication Applications for people with chronic disease. , 2005, The Cochrane database of systematic reviews.

[2]  Dylan S. Small,et al.  Social Incentives and Gamification to Promote Weight Loss: The LOSE IT Randomized, Controlled Trial , 2018, Journal of General Internal Medicine.

[3]  A. Coustasse,et al.  Can mHealth Revolutionize the Way We Manage Adult Obesity? , 2017, Perspectives in health information management.

[4]  K. Flegal,et al.  Trends in Obesity Among Adults in the United States, 2005 to 2014. , 2016, JAMA.

[5]  Alan VanBiervliet,et al.  Internet delivered behavioral obesity treatment. , 2010, Preventive medicine.

[6]  JoAnn E. Manson,et al.  Genetic Predisposition to Central Obesity and Risk of Type 2 Diabetes: Two Independent Cohort Studies , 2015, Diabetes Care.

[7]  J Laitinen,et al.  A randomized clinical trial of the effectiveness of a Web‐based health behaviour change support system and group lifestyle counselling on body weight loss in overweight and obese subjects: 2‐year outcomes , 2018, Journal of internal medicine.

[8]  S. Michie,et al.  What design features are used in effective e-health interventions? A review using techniques from Critical Interpretive Synthesis. , 2012, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[9]  Sheila M. Williams,et al.  Determining how best to support overweight adults to adhere to lifestyle change: protocol for the SWIFT study , 2015, BMC Public Health.

[10]  Rahmatollah Beheshti,et al.  Comparing methods of targeting obesity interventions in populations: An agent-based simulation , 2017, SSM - population health.

[11]  Hugo Velthuijsen,et al.  Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review , 2017, Journal of medical Internet research.

[12]  D. Allison,et al.  Years of life lost due to obesity. , 2003, JAMA.

[13]  Hongmei Han,et al.  H.E.A.L.T.H.: Efficacy of an Internet/Population-Based Behavioral Weight Management Program for the U.S. Army , 2011, Journal of diabetes science and technology.

[14]  Arya M. Sharma,et al.  The evaluating self-management and educational support in severely obese patients awaiting multidisciplinary bariatric care (EVOLUTION) trial: rationale and design , 2013, BMC Health Services Research.

[15]  B. J. Fogg Healthy Living with Persuasive Technologies : Framework , Issues , and Challenges , 2009 .

[16]  Chrisa Arcan,et al.  Factors Affecting Obesity and Waist Circumference Among US Adults , 2019, Preventing chronic disease.

[17]  Seong-Hi Park,et al.  Effect of Mobile Health on Obese Adults: A Systematic Review and Meta-Analysis , 2019, Healthcare informatics research.

[18]  M. A. Roth,et al.  Web‐based Weight Management Programs in an Integrated Health Care Setting: A Randomized, Controlled Trial , 2006, Obesity.

[19]  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.

[20]  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.

[21]  J. Gonzalez-Sanchez,et al.  EVIDENT 3 Study: A randomized, controlled clinical trial to reduce inactivity and caloric intake in sedentary and overweight or obese people using a smartphone application , 2018, Medicine.

[22]  N. Barengo,et al.  Weight loss by mobile phone: a 1-year effectiveness study , 2009, Public Health Nutrition.

[23]  R. Wing,et al.  Comparison of Smartphone-based Behavioral Obesity Treatment to Gold Standard Group Treatment and Control: A Randomized Trial , 2019, Obesity.

[24]  S. Hampl,et al.  Making the Business Case for Coverage of Family-Based Behavioral Group Interventions for Pediatric Obesity. , 2016, Journal of pediatric psychology.

[25]  J. Ransley,et al.  Process evaluation of an internet-based resource for weight control: use and views of an obese sample. , 2009, Journal of nutrition education and behavior.

[26]  P. Gianaros,et al.  Body–Brain Connections: The Effects of Obesity and Behavioral Interventions on Neurocognitive Aging , 2017, Front. Aging Neurosci..

[27]  Craig M. Hales,et al.  Trends in Obesity and Severe Obesity Prevalence in US Youth and Adults by Sex and Age, 2007-2008 to 2015-2016 , 2018, JAMA.

[28]  T. Wadden,et al.  Behavioral treatment of obesity. , 2003, Endocrinology and metabolism clinics of North America.

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

[30]  M. Limacher,et al.  Design of the Rural LEAP randomized trial: An evaluation of extended-care programs for weight management delivered via group or individual telephone counseling. , 2019, Contemporary Clinical Trials.

[31]  Marta M. Marques,et al.  Health Behavior Change for Obesity Management , 2017, Obesity Facts.

[32]  C Cimino,et al.  Computerized weight loss intervention optimizes staff time: the clinical and cost results of a controlled clinical trial conducted in a managed care setting. , 2001, Journal of the American Dietetic Association.

[33]  Maija-Leena Huotari,et al.  Preventing the Obesity Epidemic by Second Generation Tailored Health Communication: An Interdisciplinary Review , 2010, Journal of medical Internet research.

[34]  Patrick Timpel,et al.  Efficacy of gamification-based smartphone application for weight loss in overweight and obese adolescents: study protocol for a phase II randomized controlled trial , 2018, Therapeutic advances in endocrinology and metabolism.

[35]  Jing Wang,et al.  A Behavioral Lifestyle Intervention Enhanced With Multiple-Behavior Self-Monitoring Using Mobile and Connected Tools for Underserved Individuals With Type 2 Diabetes and Comorbid Overweight or Obesity: Pilot Comparative Effectiveness Trial , 2018, JMIR mHealth and uHealth.

[36]  S. Kelders,et al.  Persuasive System Design Does Matter: A Systematic Review of Adherence to Web-Based Interventions , 2012, Journal of medical Internet research.

[37]  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.

[38]  Parisa Rashidi,et al.  The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions , 2014, Journal of medical Internet research.

[39]  Leslie B. Hammer,et al.  Weight Control Intervention for Truck Drivers: The SHIFT Randomized Controlled Trial, United States. , 2016, American journal of public health.

[40]  G. Block,et al.  Improving diet, activity and wellness in adults at risk of diabetes: randomized controlled trial , 2016, Nutrition & Diabetes.

[41]  D. Melchart,et al.  The talent study: a multicentre randomized controlled trial assessing the impact of a ‘tailored lifestyle self-management intervention’ (talent) on weight reduction , 2015, BMC Obesity.

[42]  Elroy J. Aguiar,et al.  Evaluation of a commercial web-based weight loss and weight loss maintenance program in overweight and obese adults: a randomized controlled trial , 2010, BMC public health.

[43]  Importance of Active Participation in Obesity Management Through Mobile Health Care Programs: Substudy of a Randomized Controlled Trial , 2018, JMIR mHealth and uHealth.

[44]  Saad Harous,et al.  Mobile health architecture for obesity management using sensory and social data , 2018 .

[45]  Chrysanne Di Marco,et al.  Towards Personality-driven Persuasive Health Games and Gamified Systems , 2017, CHI.

[46]  Arkalgud Ramaprasad,et al.  Ontological Review of Persuasion Support Systems (PSS) for Health Behavior Change through Physical Activity , 2019, Journal of Medical Systems.

[47]  D. Greenwood,et al.  A randomised trial of an internet weight control resource: The UK Weight Control Trial [ISRCTN58621669] , 2003, BMC health services research.

[48]  A randomized trial to reduce sugar-sweetened beverage and juice intake in preschool-aged children: description of the Smart Moms intervention trial , 2016, BMC Public Health.

[49]  Tiina M. Ikäheimo,et al.  Gamified physical activation of young men – a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study) , 2013, BMC Public Health.

[50]  P. Lee,et al.  The Impact of a School-Based Weight Management Program Involving Parents via mHealth for Overweight and Obese Children and Adolescents with Intellectual Disability: A Randomized Controlled Trial , 2017, International journal of environmental research and public health.

[51]  K. Patrick,et al.  Text4Diet: a randomized controlled study using text messaging for weight loss behaviors. , 2012, Preventive medicine.

[52]  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.

[53]  Stephen Platt,et al.  The effectiveness of interventions to change six health behaviours: a review of reviews , 2010, BMC public health.

[54]  C. Greaves,et al.  Understanding the challenge of weight loss maintenance: a systematic review and synthesis of qualitative research on weight loss maintenance , 2017, Health psychology review.

[55]  N. Lv,et al.  Behavioral lifestyle interventions for moderate and severe obesity: A systematic review. , 2017, Preventive medicine.

[56]  Alan Bauck,et al.  Comparison of strategies for sustaining weight loss: the weight loss maintenance randomized controlled trial. , 2008, JAMA.

[57]  K. Sahoo,et al.  Childhood obesity: causes and consequences , 2015, Journal of family medicine and primary care.

[58]  Lucy Yardley,et al.  Randomised controlled feasibility trial of a web-based weight management intervention with nurse support for obese patients in primary care , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[59]  Maya B. Mathur,et al.  Effect of a mobile app intervention on vegetable consumption in overweight adults: a randomized controlled trial , 2017, International Journal of Behavioral Nutrition and Physical Activity.

[60]  Harri Oinas-Kukkonen,et al.  Towards Deeper Understanding of Persuasion in Software and Information Systems , 2008, First International Conference on Advances in Computer-Human Interaction.

[61]  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.

[62]  K. Jolly,et al.  Evaluation of a text supported weight maintenance programme ‘Lighten Up Plus’ following a weight reduction programme: randomised controlled trial , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[63]  Toomas Timpka,et al.  A web- and mobile phone-based intervention to prevent obesity in 4-year-olds (MINISTOP): a population-based randomized controlled trial , 2015, BMC Public Health.

[64]  Harri Oinas-Kukkonen,et al.  Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review , 2016, Journal of Medical Systems.

[65]  Alexander J. Rothman,et al.  Behavioural intervention for weight loss maintenance versus standard weight advice in adults with obesity: A randomised controlled trial in the UK (NULevel Trial) , 2019, PLoS medicine.

[66]  K. Bennett,et al.  Obesity and related health behaviors among urban and rural children in the United States: data from the National Health And Nutrition Examination Survey 2003-2004 and 2005-2006. , 2011, Journal of pediatric psychology.

[67]  Sheila G. Winett,et al.  Web-Based Guide to Health: Relationship of Theoretical Variables to Change in Physical Activity, Nutrition and Weight at 16-Months , 2011, Journal of medical Internet research.

[68]  K. Flegal,et al.  Prevalence of overweight and obesity in the United States, 1999-2004. , 2006, JAMA.

[69]  A Meta-Analysis of Health Status, Health Behaviors, and Health Care Utilization Outcomes of the Chronic Disease Self-Management Program , 2013, Preventing chronic disease.

[70]  W. Mechelen,et al.  Effectiveness of Phone and E-Mail Lifestyle Counseling for Long Term Weight Control Among Overweight Employees , 2011, Journal of occupational and environmental medicine.

[71]  Harri Oinas-Kukkonen,et al.  Persuasive Systems Design: Key Issues, Process Model, and System Features , 2009, Commun. Assoc. Inf. Syst..

[72]  S. Kremers,et al.  Effect of an individually tailored one-year energy balance programme on body weight, body composition and lifestyle in recent retirees: a cluster randomised controlled trial , 2010, BMC public health.

[73]  Christine M Hunter,et al.  Weight management using the internet a randomized controlled trial. , 2008, American journal of preventive medicine.

[74]  S. Murphy,et al.  Study protocol for the ‘HelpMeDoIt!’ randomised controlled feasibility trial: an app, web and social support-based weight loss intervention for adults with obesity , 2017, BMJ Open.

[75]  B. J. Fogg,et al.  A behavior model for persuasive design , 2009, Persuasive '09.

[76]  S. Mittelman,et al.  An addiction model‐based mobile health weight loss intervention in adolescents with obesity , 2018, Pediatric obesity.

[77]  Giada Pietrabissa,et al.  Chronic care management of globesity: promoting healthier lifestyles in traditional and mHealth based settings , 2015, Front. Psychol..

[78]  R. Dalle Grave,et al.  Long-term weight loss maintenance for obesity: a multidisciplinary approach , 2016, Diabetes, metabolic syndrome and obesity : targets and therapy.

[79]  D. Asch,et al.  Wearable devices as facilitators, not drivers, of health behavior change. , 2015, JAMA.

[80]  José M. Iniesta,et al.  Web Support for Weight-Loss Interventions: PREDIRCAM2 Clinical Trial Baseline Characteristics and Preliminary Results. , 2018, Diabetes technology & therapeutics.

[81]  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.

[82]  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.