Published on in Vol 12, No 2 (2010): Apr-Jun

Preventing the Obesity Epidemic by Second Generation Tailored Health Communication: An Interdisciplinary Review

Preventing the Obesity Epidemic by Second Generation Tailored Health Communication: An Interdisciplinary Review

Preventing the Obesity Epidemic by Second Generation Tailored Health Communication: An Interdisciplinary Review

Journals

  1. Hutchesson M, Rollo M, Krukowski R, Ells L, Harvey J, Morgan P, Callister R, Plotnikoff R, Collins C. eHealth interventions for the prevention and treatment of overweight and obesity in adults: a systematic review with meta‐analysis. Obesity Reviews 2015;16(5):376 View
  2. Tran L, Brewster P, Chidambaram V, Hurdle J. Towards Measuring the Food Quality of Grocery Purchases: An Estimation Model of the Healthy Eating Index-2010 Using only Food Item Counts. Procedia Food Science 2015;4:148 View
  3. Sherrington A, Newham J, Bell R, Adamson A, McColl E, Araujo‐Soares V. Systematic review and meta‐analysis of internet‐delivered interventions providing personalized feedback for weight loss in overweight and obese adults. Obesity Reviews 2016;17(6):541 View
  4. Friederichs S, Bolman C, Oenema A, Verboon P, Lechner L. Exploring the working mechanisms of a web-based physical activity intervention, based on self-determination theory and motivational interviewing. Internet Interventions 2016;3:8 View
  5. Binks M, Mierlo T, Edwards C. Relationships of the Psychological Influence of Food and Barriers to Lifestyle Change to Weight and Utilization of Online Weight Loss Tools. The Open Medical Informatics Journal 2012;6(1):9 View
  6. Jahangiry L, Shojaeizadeh D, Abbasalizad Farhangi M, Yaseri M, Mohammad K, Najafi M, Montazeri A. Interactive web-based lifestyle intervention and metabolic syndrome: findings from the Red Ruby (a randomized controlled trial). Trials 2015;16(1) View
  7. Ezendam N, Noordegraaf V, Kroeze W, Brug J, Oenema A. Process evaluation of FATaintPHAT, a computer-tailored intervention to prevent excessive weight gain among Dutch adolescents. Health Promotion International 2013;28(1):26 View
  8. Honka A, Kaipainen K, Hietala H, Saranummi N. Rethinking Health: ICT-Enabled Services to Empower People to Manage Their Health. IEEE Reviews in Biomedical Engineering 2011;4:119 View
  9. Watson A, Bickmore T, Cange A, Kulshreshtha A, Kvedar J. An Internet-Based Virtual Coach to Promote Physical Activity Adherence in Overweight Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(1):e1 View
  10. Broekhuizen K, Jelsma GM J, van PoppelNM M, Koppes LJ L, Brug J, van Mechelen W. Is the process of delivery of an individually tailored lifestyle intervention associated with improvements in LDL cholesterol and multiple lifestyle behaviours in people with Familial Hypercholesterolemia?. BMC Public Health 2012;12(1) View
  11. Tang J, Abraham C, Greaves C, Yates T. Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews. Journal of Medical Internet Research 2014;16(2):e58 View
  12. Lehto T, Oinas-Kukkonen H. Persuasive Features in Web-Based Alcohol and Smoking Interventions: A Systematic Review of the Literature. Journal of Medical Internet Research 2011;13(3):e46 View
  13. Ahola R, Pyky R, Jämsä T, Mäntysaari M, Koskimäki H, Ikäheimo T, Huotari M, Röning J, Heikkinen H, Korpelainen R. Gamified physical activation of young men – a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study). BMC Public Health 2013;13(1) View
  14. Hirvonen N, Huotari M, Niemelä R, Korpelainen R. Information behavior in stages of exercise behavior change. Journal of the American Society for Information Science and Technology 2012;63(9):1804 View
  15. Au L, Whaley S, Rosen N, Meza M, Ritchie L. Online and In-Person Nutrition Education Improves Breakfast Knowledge, Attitudes, and Behaviors: A Randomized Trial of Participants in the Special Supplemental Nutrition Program for Women, Infants, and Children. Journal of the Academy of Nutrition and Dietetics 2016;116(3):490 View
  16. Markert J, Herget S, Petroff D, Gausche R, Grimm A, Kiess W, Blüher S. Telephone-Based Adiposity Prevention for Families with Overweight Children (T.A.F.F.-Study): One Year Outcome of a Randomized, Controlled Trial. International Journal of Environmental Research and Public Health 2014;11(10):10327 View
  17. Friederichs S, Oenema A, Bolman C, Lechner L. Long term effects of self-determination theory and motivational interviewing in a web-based physical activity intervention: randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1) View
  18. Sanaeinasab H, Saffari M, Sajedi S, Sepandi M, Al Shohaib S, Koenig H. The effect of a psycho-educational intervention on weight management in obese military personnel. Military Psychology 2019;31(1):1 View
  19. op den Akker H, Jones V, Hermens H. Tailoring real-time physical activity coaching systems: a literature survey and model. User Modeling and User-Adapted Interaction 2014;24(5):351 View
  20. Kebede M, Liedtke T, Möllers T, Pischke C. Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review. Journal of Medical Internet Research 2017;19(10):e348 View
  21. Carrasco-Hernandez L, Jódar-Sánchez F, Núñez-Benjumea F, Moreno Conde J, Mesa González M, Civit-Balcells A, Hors-Fraile S, Parra-Calderón C, Bamidis P, Ortega-Ruiz F. A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e17530 View
  22. Riley K, Tigershtrom A, Park C, Lauranceau J. Predictors of health behaviors during a college national championship sports event: A daily diary study. Journal of American College Health 2021;69(8):928 View
  23. Lac A, Donaldson C. Personality Traits Moderate Connections from Drinking Attitudes to Alcohol Use and Myopic Relief, Self-inflation, and Excess. Substance Use & Misuse 2019;54(5):818 View
  24. Hsu A, Blandford A. Designing for Psychological Change: Individuals’ Reward and Cost Valuations in Weight Management. Journal of Medical Internet Research 2014;16(6):e138 View
  25. Sousa P, Duarte E, Ferreira R, Esperança A, Frontini R, Santos‐Rocha R, Luís L, Dias S, Marques N. An mHealth intervention programme to promote healthy behaviours and prevent adolescent obesity (TeenPower): A study protocol. Journal of Advanced Nursing 2019;75(3):683 View
  26. Gans K, Risica P, Dulin-Keita A, Mello J, Dawood M, Strolla L, Harel O. Innovative video tailoring for dietary change: final results of the Good for you! cluster randomized trial. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1) View
  27. Signorelli G, Lehocki F, Mora Fernández M, O'Neill G, O'Connor D, Brennan L, Monteiro-Guerra F, Rivero-Rodriguez A, Hors-Fraile S, Munoz-Penas J, Bonjorn Dalmau M, Mota J, Oliveira R, Mrinakova B, Putekova S, Muro N, Zambrana F, Garcia-Gomez J. A Research Roadmap: Connected Health as an Enabler of Cancer Patient Support. Journal of Medical Internet Research 2019;21(10):e14360 View
  28. Friederichs S, Oenema A, Bolman C, Guyaux J, Van Keulen H, Lechner L. Motivational interviewing in a web-based physical activity intervention: questions and reflections. Health Promotion International 2015;30(3):803 View
  29. Sousa P, Martinho R, Reis C, Dias S, Gaspar P, Dixe M, Luis L, Ferreira R. Controlled trial of an mHealth intervention to promote healthy behaviours in adolescence (TeenPower): Effectiveness analysis. Journal of Advanced Nursing 2020;76(4):1057 View
  30. Ockene J, Schneider K, Lemon S, Ockene I. Can We Improve Adherence to Preventive Therapies for Cardiovascular Health?. Circulation 2011;124(11):1276 View
  31. Friederichs S, Oenema A, Bolman C, Lechner L. Motivational interviewing and self-determination theory in a web-based computer tailored physical activity intervention: A randomized controlled trial. Psychology & Health 2016;31(8):907 View
  32. Fernandez-Luque L, Karlsen R, Bonander J. Review of Extracting Information From the Social Web for Health Personalization. Journal of Medical Internet Research 2011;13(1):e15 View
  33. Schwartz J, Richardson C. Exploring the potential for internet-based interventions for treatment of overweight and obesity in college students. Global Health Promotion 2015;22(4):20 View
  34. Kennedy C, Powell J, Payne T, Ainsworth J, Boyd A, Buchan I. Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review. Journal of Medical Internet Research 2012;14(3):e80 View
  35. Sittig S, McGowan A, Iyengar S. Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions. Journal of Medical Systems 2020;44(7) View
  36. Monteiro-Guerra F, Rivera-Romero O, Fernandez-Luque L, Caulfield B. Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review. IEEE Journal of Biomedical and Health Informatics 2020;24(6):1738 View
  37. Castle N. Staff Assist: A Resource to Improve Nursing Home Quality and Staffing. The Gerontologist 2011;51(5):714 View
  38. Eyles H, Ni Mhurchu C. Tailored nutrition education: is it really effective?. Public Health Nutrition 2012;15(3):561 View
  39. Broekhuizen K, Kroeze W, van Poppel M, Oenema A, Brug J. A Systematic Review of Randomized Controlled Trials on the Effectiveness of Computer-Tailored Physical Activity and Dietary Behavior Promotion Programs: an Update. Annals of Behavioral Medicine 2012;44(2):259 View
  40. van Genugten L, van Empelen P, Boon B, Borsboom G, Visscher T, Oenema A. Results from an Online Computer-Tailored Weight Management Intervention for Overweight Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(2):e44 View
  41. Handren L, Donaldson C, Crano W. Adolescent Alcohol Use: Protective and Predictive Parent, Peer, and Self-Related Factors. Prevention Science 2016;17(7):862 View
  42. Bedrosian R, Striegel R, Wang C, Schwartz S. Association of Binge Eating With Work Productivity Impairment, Adjusted for Other Health Risk Factors. Journal of Occupational & Environmental Medicine 2012;54(4):385 View
  43. Hirvonen N, Enwald H, Bath P, Pyky R, Korpelainen R, Huotari M. Individual Factors Affecting Preferences for Feedback Message Tactics in the Contexts of Physical Activity. Journal of Health Communication 2015;20(2):220 View
  44. Kocić B, Petrović B. THE INTERNET-BASED HEALTH INFORMATION AND ADOLESCENTS. Acta medica medianae 2011:69 View
  45. Bronder K, Dooyema C, Onufrak S, Foltz J. Electronic health records to support obesity-related patient care: Results from a survey of United States physicians. Preventive Medicine 2015;77:41 View
  46. Psihogios A, Li Y, Butler E, Hamilton J, Daniel L, Barakat L, Bonafide C, Schwartz L. Text Message Responsivity in a 2-Way Short Message Service Pilot Intervention With Adolescent and Young Adult Survivors of Cancer. JMIR mHealth and uHealth 2019;7(4):e12547 View
  47. Vereecken C, Covents M, Maes L, Moyson T. Formative evaluation of the feedback component of Children's and Adolescents’ Nutrition Assessment and Advice on the Web (CANAA-W) among parents of schoolchildren. Public Health Nutrition 2013;16(1):15 View
  48. McInnes D, Solomon J, Bokhour B, Asch S, Ross D, Nazi K, Gifford A. Use of electronic personal health record systems to encourage HIV screening: an exploratory study of patient and provider perspectives. BMC Research Notes 2011;4(1) View
  49. Walthouwer M, Oenema A, Lechner L, de Vries H. Comparing a Video and Text Version of a Web-Based Computer-Tailored Intervention for Obesity Prevention: A Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(10):e236 View
  50. Freyne J, Yin J, Brindal E, Hendrie G, Berkovsky S, Noakes M. Push Notifications in Diet Apps: Influencing Engagement Times and Tasks. International Journal of Human–Computer Interaction 2017;33(10):833 View
  51. Friederichs S, Oenema A, Bolman C, Guyaux J, van Keulen H, Lechner L. I Move: systematic development of a web-based computer tailored physical activity intervention, based on motivational interviewing and self-determination theory. BMC Public Health 2014;14(1) View
  52. Guertler D, Vandelanotte C, Kirwan M, Duncan M. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176 View
  53. Ritten A, Waldrop J, Kitson J. Fit living in progress – fighting lifelong obesity patterns (FLIP-FLOP): A nurse practitioner delivered intervention. Applied Nursing Research 2016;30:119 View
  54. Vandelanotte C, Müller A, Short C, Hingle M, Nathan N, Williams S, Lopez M, Parekh S, Maher C. Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors. Journal of Nutrition Education and Behavior 2016;48(3):219 View
  55. Spanakis G, Weiss G, Boh B, Lemmens L, Roefs A. Machine learning techniques in eating behavior e-coaching. Personal and Ubiquitous Computing 2017;21(4):645 View
  56. Teeriniemi A, Salonurmi T, Jokelainen T, Vähänikkilä H, Alahäivälä T, Karppinen P, Enwald H, Huotari M, Laitinen J, Oinas‐Kukkonen H, Savolainen M. 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. Journal of Internal Medicine 2018;284(5):534 View
  57. Kullen C, Prvan T, O’Connor H. Barriers and Enablers Influencing Dietary Practices in Australian Army Personnel. Military Medicine 2019;184(1-2):e213 View
  58. Kaufman N, Woodley P. Self-Management Support Interventions That are Clinically Linked and Technology Enabled: Can They Successfully Prevent and Treat Diabetes?. Journal of Diabetes Science and Technology 2011;5(3):798 View
  59. Freyne J, Yin J, Brindal E, Hendrie G, Berkovsky S, Noakes M. Push Notifications in Diet Apps: Influencing Engagement Times and Tasks. International Journal of Human–Computer Interaction 2017 View
  60. Hansen A, Grønbæk M, Helge J, Severin M, Curtis T, Tolstrup J. Effect of a Web-Based Intervention to Promote Physical Activity and Improve Health Among Physically Inactive Adults: A Population-Based Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(5):e145 View
  61. Coumans J, Bolman C, Friederichs S, Oenema A, Lechner L. Development and Testing of a Personalized Web-Based Diet and Physical Activity Intervention Based on Motivational Interviewing and the Self-Determination Theory: Protocol for the MyLifestyleCoach Randomized Controlled Trial. JMIR Research Protocols 2020;9(2):e14491 View
  62. Gesser-Edelsburg A, Shalayeva S. Internet as a Source of Long-Term and Real-Time Professional, Psychological, and Nutritional Treatment: A Qualitative Case Study Among Former Israeli Soviet Union Immigrants. Journal of Medical Internet Research 2017;19(2):e33 View
  63. Pyky R, Koivumaa-Honkanen H, Leinonen A, Ahola R, Hirvonen N, Enwald H, Luoto T, Ferreira E, Ikäheimo T, Keinänen-Kiukaanniemi S, Mäntysaari M, Jämsä T, Korpelainen R. Effect of tailored, gamified, mobile physical activity intervention on life satisfaction and self-rated health in young adolescent men: A population-based, randomized controlled trial (MOPO study). Computers in Human Behavior 2017;72:13 View
  64. Bardus M, Hamadeh G, Hayek B, Al Kherfan R. A Self-Directed Mobile Intervention (WaznApp) to Promote Weight Control Among Employees at a Lebanese University: Protocol for a Feasibility Pilot Randomized Controlled Trial. JMIR Research Protocols 2018;7(5):e133 View
  65. Enwald H, Niemelä R, Keinänen‐Kiukaanniemi S, Leppäluoto J, Jämsä T, Herzig K, Oinas‐Kukkonen H, Huotari M. Human information behaviour and physiological measurements as a basis to tailor health information. An explorative study in a physical activity intervention among prediabetic individuals in Northern Finland. Health Information & Libraries Journal 2012;29(2):131 View
  66. Chi C, Nick Street W, Robinson J, Crawford M. Individualized patient-centered lifestyle recommendations: An expert system for communicating patient specific cardiovascular risk information and prioritizing lifestyle options. Journal of Biomedical Informatics 2012;45(6):1164 View
  67. Cochrane A, Dick B, King N, Hills A, Kavanagh D. Developing dimensions for a multicomponent multidisciplinary approach to obesity management: a qualitative study. BMC Public Health 2017;17(1) View
  68. Nakabayashi J, Melo G, Toral N. Transtheoretical model-based nutritional interventions in adolescents: a systematic review. BMC Public Health 2020;20(1) View
  69. Wei Y, Zheng P, Deng H, Wang X, Li X, Fu H. Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis. Journal of Medical Internet Research 2020;22(12):e21687 View
  70. Spînu R. The efficacy of eHealth interventions in weight management: a systematic review. Studia Doctoralia 2018;9(1):2 View
  71. Brennan D. The effects of a Moodle-based instructional unit on physical activity in schools on 15–20 years experienced permanent Irish primary teachers physical activity knowledge, attitudes and behaviour. Research in Learning Technology 2020;28(0) View
  72. Spînu R. The efficacy of eHealth interventions in weight management: a systematic review. Studia Doctoralia 2018;9(1):2 View
  73. Manor I. The Russians are Laughing! The Russians are Laughing! How Russian Diplomats Employ Humour in Online Public Diplomacy. Global Society 2021;35(1):61 View
  74. Hors-Fraile S, Candel M, Schneider F, Malwade S, Nunez-Benjumea F, Syed-Abdul S, Fernandez-Luque L, de Vries H. Applying Collective Intelligence in Health Recommender Systems for Smoking Cessation: A Comparison Trial. Electronics 2022;11(8):1219 View
  75. Preuhs K, van Keulen H, Andree R, Wins S, van Empelen P. A Tailored Web-Based Video Intervention (ParentCoach) to Support Parents With Children With Sleeping Problems: User-Centered Design Approach. JMIR Formative Research 2022;6(4):e33416 View
  76. Chapel B, Alexandre F, Heraud N, Ologeanu-Taddei R, Cases A, Bughin F, Hayot M. Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review. BMC Health Services Research 2022;22(1) View
  77. Paine K, Parker S, Denney-Wilson E, Lloyd J, Randall S, McNamara C, Nutbeam D, Osborne R, Saito S, Harris M. In it for the long haul: the complexities of managing overweight in family practice: qualitative thematic analysis from the Health eLiteracy for Prevention in General Practice (HeLP-GP) trial. BMC Primary Care 2023;24(1) View
  78. Kracht C, Hutchesson M, Ahmed M, Müller A, Ashton L, Brown H, DeSmet A, Maher C, Mauch C, Vandelanotte C, Yin Z, Whatnall M, Short C, Staiano A. E‐&mHealth interventions targeting nutrition, physical activity, sedentary behavior, and/or obesity among children: A scoping review of systematic reviews and meta‐analyses. Obesity Reviews 2021;22(12) View

Books/Policy Documents

  1. Alahäivälä T, Oinas-Kukkonen H, Jokelainen T. Persuasive Technology. View
  2. Moumtzoglou A. M-Health Innovations for Patient-Centered Care. View
  3. Ahern D, Phalen J. Lifestyle Medicine, Second Edition. View
  4. Oinas-Kukkonen H, Zhao L, Enwald H, Huotari M, Ahola R, Jämsä T, Keinänen-Kiukaanniemi S, Leppäluoto J, Herzig K. Information Systems and Neuroscience. View
  5. Kroes L, Shahid S. Human-Computer Interaction. Applications and Services. View
  6. Baranowski T, O’Connor T, Hughes S, Beltran A, Baranowski J, Nicklas T, Sleddens E, Thompson D, Lu A, Buday R. Serious Games for Healthcare. View
  7. Manor I. The Digitalization of Public Diplomacy. View
  8. Temple N, Nestle M. Nutritional Health. View
  9. Moumtzoglou A. Mobile Health Applications for Quality Healthcare Delivery. View
  10. Temple N. Nutritional Health. View