Effectiveness of a Web-based Intervention Aimed at Healthy Dietary and Physical Activity Behavior: A Randomized Controlled Trial About Users and Usage

Effectiveness of a Web-based Intervention Aimed at Healthy Dietary and Physical Activity Behavior: A Randomized Controlled Trial About Users and Usage

Effectiveness of a Web-based Intervention Aimed at Healthy Dietary and Physical Activity Behavior: A Randomized Controlled Trial About Users and Usage

Journals

  1. Graham M, Uesugi K, Niederdeppe J, Gay G, Olson C. The Theory, Development, and Implementation of an e-Intervention to Prevent Excessive Gestational Weight Gain: e-Moms Roc. Telemedicine and e-Health 2014;20(12):1135 View
  2. Ruland C, Maffei R, Børøsund E, Krahn A, Andersen T, Grimsbø G. Evaluation of different features of an eHealth application for personalized illness management support: Cancer patients’ use and appraisal of usefulness. International Journal of Medical Informatics 2013;82(7):593 View
  3. van Bruinessen I, van Weel-Baumgarten E, Snippe H, Gouw H, Zijlstra J, van Dulmen S. Active Patient Participation in the Development of an Online Intervention. JMIR Research Protocols 2014;3(4):e59 View
  4. Stassen G, Grieben C, Froböse I, Schaller A. Engagement with a Web-Based Health Promotion Intervention among Vocational School Students: A Secondary User and Usage Analysis. International Journal of Environmental Research and Public Health 2020;17(7):2180 View
  5. Davies C, Corry K, Van Itallie A, Vandelanotte C, Caperchione C, Mummery W. Prospective Associations Between Intervention Components and Website Engagement in a Publicly Available Physical Activity Website: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2012;14(1):e4 View
  6. Kim H, Niederdeppe J, Guillory J, Graham M, Olson C, Gay G. Determinants of Pregnant Women’s Online Self-Regulatory Activities for Appropriate Gestational Weight Gain. Health Communication 2015;30(9):922 View
  7. Hemmis L, de Vries H, Vandelanotte C, Short C, Duncan M, Burton N, Rebar A. Depressive symptoms associated with psychological correlates of physical activity and perceived helpfulness of intervention features. Mental Health and Physical Activity 2015;9:16 View
  8. Di Tosto G, McAlearney A, Fareed N, Huerta T. Metrics for Outpatient Portal Use Based on Log File Analysis: Algorithm Development. Journal of Medical Internet Research 2020;22(6):e16849 View
  9. Caperchione C, Duncan M, Kolt G, Vandelanotte C, Rosenkranz R, Maeder A, Noakes M, Karunanithi M, Mummery W. Examining an Australian physical activity and nutrition intervention using RE-AIM. Health Promotion International 2016;31(2):450 View
  10. Bossen D, Buskermolen M, Veenhof C, de Bakker D, Dekker J. Adherence to a Web-Based Physical Activity Intervention for Patients With Knee and/or Hip Osteoarthritis: A Mixed Method Study. Journal of Medical Internet Research 2013;15(10):e223 View
  11. Ryan C, Bergin M, Wells J. Theoretical Perspectives of Adherence to Web-Based Interventions: a Scoping Review. International Journal of Behavioral Medicine 2018;25(1):17 View
  12. Kelders S, Kok R, Ossebaard H, Van Gemert-Pijnen J. Persuasive System Design Does Matter: a Systematic Review of Adherence to Web-based Interventions. Journal of Medical Internet Research 2012;14(6):e152 View
  13. van Gemert-Pijnen J, Kelders S, Nijland N, van Velzen L, Wentzel J. Hoe eHealth een katalysator kan zijn voor innovaties in de gezondheidszorg. Bijblijven 2011;27(8):16 View
  14. Kelders S, Bohlmeijer E, Van Gemert-Pijnen J. Participants, Usage, and Use Patterns of a Web-Based Intervention for the Prevention of Depression Within a Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(8):e172 View
  15. Kuster A, Dalsbø T, Luong Thanh B, Agarwal A, Durand-Moreau Q, Kirkehei I. Computer-based versus in-person interventions for preventing and reducing stress in workers. Cochrane Database of Systematic Reviews 2017;2017(8) View
  16. Torrent-Sellens J, Díaz-Chao Á, Soler-Ramos I, Saigí-Rubió F. Modelling and Predicting eHealth Usage in Europe: A Multidimensional Approach From an Online Survey of 13,000 European Union Internet Users. Journal of Medical Internet Research 2016;18(7):e188 View
  17. Côté J, Cossette S, Ramirez-Garcia P, Rouleau G, Auger P, Boudreau F, Gagnon M. Improving Health and Reducing Comorbidity Associated with HIV: The Development ofTAVIE en santé, a Web-Based Tailored Intervention to Support the Adoption of Health Promoting Behaviors among People Living with HIV. BioMed Research International 2017;2017:1 View
  18. Joseph R, Durant N, Benitez T, Pekmezi D. Internet-Based Physical Activity Interventions. American Journal of Lifestyle Medicine 2014;8(1):42 View
  19. Hageman P, Mroz J, Yoerger M, Pullen C. User Engagement Associated with Web-Intervention Features to Attain Clinically Meaningful Weight Loss and Weight Maintenance in Rural Women. Journal of Obesity 2019;2019:1 View
  20. Oldenburg B, Taylor C, O'Neil A, Cocker F, Cameron L. Using New Technologies to Improve the Prevention and Management of Chronic Conditions in Populations. Annual Review of Public Health 2015;36(1):483 View
  21. Nijland N, van Gemert-Pijnen J, Kelders S, Brandenburg B, Seydel E. Factors Influencing the Use of a Web-Based Application for Supporting the Self-Care of Patients with Type 2 Diabetes: A Longitudinal Study. Journal of Medical Internet Research 2011;13(3):e71 View
  22. Pratt M, Sarmiento O, Montes F, Ogilvie D, Marcus B, Perez L, Brownson R. The implications of megatrends in information and communication technology and transportation for changes in global physical activity. The Lancet 2012;380(9838):282 View
  23. Caplette M, Provencher V, Bissonnette-Maheux V, Dugrenier M, Lapointe A, Gagnon M, Straus S, Desroches S. Increasing Fruit and Vegetable Consumption Through a Healthy Eating Blog: A Feasibility Study. JMIR Research Protocols 2017;6(4):e59 View
  24. Roncero M, Belloch A, Doron G. A novel approach to challenging OCD related beliefs using a mobile-app: An exploratory study. Journal of Behavior Therapy and Experimental Psychiatry 2018;59:157 View
  25. Paul L, Renfrew L, Freeman J, Murray H, Weller B, Mattison P, McConnachie A, Heggie R, Wu O, Coulter E. Web-based physiotherapy for people affected by multiple sclerosis: a single blind, randomized controlled feasibility study. Clinical Rehabilitation 2019;33(3):473 View
  26. Karppinen P, Oinas-Kukkonen H, Alahäivälä T, Jokelainen T, Keränen A, Salonurmi T, Savolainen M. Persuasive user experiences of a health Behavior Change Support System: A 12-month study for prevention of metabolic syndrome. International Journal of Medical Informatics 2016;96:51 View
  27. Lieffers J, Haresign H, Mehling C, Arocha J, Hanning R. The website-based eaTracker®‘My Goals’ feature: a qualitative evaluation. Public Health Nutrition 2017;20(5):859 View
  28. Karekla M, Kasinopoulos O, Neto D, Ebert D, Van Daele T, Nordgreen T, Höfer S, Oeverland S, Jensen K. Best Practices and Recommendations for Digital Interventions to Improve Engagement and Adherence in Chronic Illness Sufferers. European Psychologist 2019;24(1):49 View
  29. van Gemert-Pijnen J, Nijland N, van Limburg M, Ossebaard H, Kelders S, Eysenbach G, Seydel E. A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies. Journal of Medical Internet Research 2011;13(4):e111 View
  30. Børøsund E, Cvancarova M, Ekstedt M, Moore S, Ruland C. How User Characteristics Affect Use Patterns in Web-Based Illness Management Support for Patients with Breast and Prostate Cancer. Journal of Medical Internet Research 2013;15(3):e34 View
  31. Wurst R, Maliezefski A, Ramsenthaler C, Brame J, Fuchs R. Effects of Incentives on Adherence to a Web-Based Intervention Promoting Physical Activity: Naturalistic Study. Journal of Medical Internet Research 2020;22(7):e18338 View
  32. Pot M, Paulussen T, Ruiter R, Mollema L, Hofstra M, Van Keulen H. Dose-Response Relationship of a Web-Based Tailored Intervention Promoting Human Papillomavirus Vaccination: Process Evaluation of a Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(7):e14822 View
  33. Mirkovic J, Kaufman D, Ruland C. Supporting Cancer Patients in Illness Management: Usability Evaluation of a Mobile App. JMIR mHealth and uHealth 2014;2(3):e33 View
  34. Mummah S, Robinson T, King A, Gardner C, Sutton S. IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior. Journal of Medical Internet Research 2016;18(12):e317 View
  35. Schweier R, Romppel M, Richter C, Hoberg E, Hahmann H, Scherwinski I, Kosmützky G, Grande G. A Web-Based Peer-Modeling Intervention Aimed at Lifestyle Changes in Patients With Coronary Heart Disease and Chronic Back Pain: Sequential Controlled Trial. Journal of Medical Internet Research 2014;16(7):e177 View
  36. Blanson Henkemans O, Dusseldorp E, Keijsers J, Kessens J, Neerincx M, Otten W. Validity and Reliability of the eHealth Analysis and Steering Instrument. Medicine 2.0 2013;2(2):e8 View
  37. Bossen D, Veenhof C, Van Beek K, Spreeuwenberg P, Dekker J, De Bakker D. Effectiveness of a Web-Based Physical Activity Intervention in Patients With Knee and/or Hip Osteoarthritis: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(11):e257 View
  38. Lau Y, Cheng L, Chi C, Tsai C, Ong K, Ho-Lim S, Wang W, Tan K. Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study. JMIR mHealth and uHealth 2018;6(4):e91 View
  39. Giraldo‐O'Meara M, Doron G. Can self‐esteem be improved using short daily training on mobile applications? Examining real world data ofGGSelf‐esteem users. Clinical Psychologist 2020 View
  40. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  41. Al-ofi E, Mosli H, Ghamri K, Ghazali S. Management of postprandial hyperglycaemia and weight gain in women with gestational diabetes mellitus using a novel telemonitoring system. Journal of International Medical Research 2019;47(2):754 View
  42. Kolt G, Rosenkranz R, Vandelanotte C, Caperchione C, Maeder A, Tague R, Savage T, Van I, Mummery W, Oldmeadow C, Duncan M. Using Web 2.0 applications to promote health-related physical activity: findings from the WALK 2.0 randomised controlled trial. British Journal of Sports Medicine 2017;51(19):1433 View
  43. Ossebaard H, Seydel E, van Gemert-Pijnen L. Online usability and patients with long-term conditions: A mixed-methods approach. International Journal of Medical Informatics 2012;81(6):374 View
  44. van Doorn-van Atten M, de Groot L, Romea A, Schwartz S, de Vries J, Haveman-Nies A. Implementation of a multicomponent telemonitoring intervention to improve nutritional status of community-dwelling older adults: a process evaluation. Public Health Nutrition 2019;22(2):363 View
  45. Kelders S, Bohlmeijer E, Pots W, van Gemert-Pijnen J. Comparing human and automated support for depression: Fractional factorial randomized controlled trial. Behaviour Research and Therapy 2015;72:72 View
  46. Piatkowski C, Faulkner G, Guhn M, Mâsse L. User Characteristics and Parenting Practices Associated with Adolescents' Initial Use of a Lifestyle Behavior Modification Intervention. Childhood Obesity 2020;16(6):367 View
  47. Yamaguchi Y, Mitsuishi H. Computer-tailored interventions for promoting physical activity and healthy eating: A systematic review of the literature. The Journal of Physical Fitness and Sports Medicine 2014;3(5):493 View
  48. Tatara N, Årsand E, Skrøvseth S, Hartvigsen G. Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes. JMIR mHealth and uHealth 2013;1(1):e1 View
  49. Huerta T, Fareed N, Hefner J, Sieck C, Swoboda C, Taylor R, McAlearney A. Patient Engagement as Measured by Inpatient Portal Use: Methodology for Log File Analysis. Journal of Medical Internet Research 2019;21(3):e10957 View
  50. Børøsund E, Cvancarova M, Moore S, Ekstedt M, Ruland C. Comparing Effects in Regular Practice of E-Communication and Web-Based Self-Management Support Among Breast Cancer Patients: Preliminary Results From a Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(12):e295 View
  51. Brown J, Michie S, Raupach T, West R. Prevalence and Characteristics of Smokers Interested in Internet-Based Smoking Cessation Interventions: Cross-sectional Findings From a National Household Survey. Journal of Medical Internet Research 2013;15(3):e50 View
  52. del Río Carral M, Roux P, Bruchez C, Santiago-Delefosse M. Santé digitale : promesses, défis et craintes. Une revue de la littérature. Pratiques Psychologiques 2017;23(1):61 View
  53. Griebel L, Kolominsky-Rabas P, Schaller S, Siudyka J, Sierpinski R, Papapavlou D, Simeonidou A, Prokosch H, Sedlmayr M. Acceptance by laypersons and medical professionals of the personalized eHealth platform, eHealthMonitor. Informatics for Health and Social Care 2017;42(3):232 View
  54. Brindal E, Freyne J, Saunders I, Berkovsky S, Smith G, Noakes M. Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial. Journal of Medical Internet Research 2012;14(6):e173 View
  55. 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
  56. Lee M, Park H, Yun Y, Chang Y. Development and Formative Evaluation of a Web-Based Self-Management Exercise and Diet Intervention Program With Tailored Motivation and Action Planning for Cancer Survivors. JMIR Research Protocols 2013;2(1):e11 View
  57. Bashshur R, Shannon G, Smith B, Woodward M. The Empirical Evidence for the Telemedicine Intervention in Diabetes Management. Telemedicine and e-Health 2015;21(5):321 View
  58. Irfan Khan A, Gill A, Cott C, Hans P, Steele Gray C. mHealth Tools for the Self-Management of Patients With Multimorbidity in Primary Care Settings: Pilot Study to Explore User Experience. JMIR mHealth and uHealth 2018;6(8):e171 View
  59. Asbjørnsen R, Wentzel J, Smedsrød M, Hjelmesæth J, Clark M, Solberg Nes L, Van Gemert-Pijnen J. Identifying Persuasive Design Principles and Behavior Change Techniques Supporting End User Values and Needs in eHealth Interventions for Long-Term Weight Loss Maintenance: Qualitative Study. Journal of Medical Internet Research 2020;22(11):e22598 View
  60. Schweier R, Romppel M, Richter C, Grande G. Dissemination strategies and adherence predictors for web-based interventions—how efficient are patient education sessions and email reminders?. Health Education Research 2016;31(3):384 View
  61. Hanna L, Huggins C, Furness K, Silvers M, Savva J, Frawley H, Croagh D, Cashin P, Low L, Bauer J, Truby H, Haines T. Effect of early and intensive nutrition care, delivered via telephone or mobile application, on quality of life in people with upper gastrointestinal cancer: study protocol of a randomised controlled trial. BMC Cancer 2018;18(1) View
  62. Radomski A, Bagnell A, Curtis S, Hartling L, Newton A. Examining the Usage, User Experience, and Perceived Impact of an Internet-Based Cognitive Behavioral Therapy Program for Adolescents With Anxiety: Randomized Controlled Trial. JMIR Mental Health 2020;7(2):e15795 View
  63. Lau Y, Klainin‐Yobas P, Htun T, Wong S, Tan K, Ho‐Lim S, Chi C, Tsai C, Ong K, Shorey S, Tam W. Electronic‐based lifestyle interventions in overweight or obese perinatal women: a systematic review and meta‐analysis. Obesity Reviews 2017;18(9):1071 View
  64. Jahangiry L, Montazeri A, Najafi M, Yaseri M, Farhangi M. An interactive web-based intervention on nutritional status, physical activity and health-related quality of life in patient with metabolic syndrome: a randomized-controlled trial (The Red Ruby Study). Nutrition & Diabetes 2017;7(1):e240 View
  65. 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
  66. Miller L, Beckett L, Bergman J, Wilson M, Applegate E, Gibson T. Developing Nutrition Label Reading Skills: A Web-Based Practice Approach. Journal of Medical Internet Research 2017;19(1):e16 View
  67. Kelders S, Pots W, Oskam M, Bohlmeijer E, van Gemert-Pijnen J. Development of a web-based intervention for the indicated prevention of depression. BMC Medical Informatics and Decision Making 2013;13(1) View
  68. Truby H, Edwards B, O'Driscoll D, Young A, Ghazi L, Bristow C, Roem K, Bonham M, Murgia C, Day K, Haines T, Hamilton G. Sleeping Well Trial: Increasing the effectiveness of treatment with continuous positive airway pressure using a weight management program in overweight adults with obstructive sleep apnoea—A stepped wedge randomised trial protocol. Nutrition & Dietetics 2019;76(1):110 View
  69. Ludden G, van Rompay T, Kelders S, van Gemert-Pijnen J. How to Increase Reach and Adherence of Web-Based Interventions: A Design Research Viewpoint. Journal of Medical Internet Research 2015;17(7):e172 View
  70. Duman-Lubberding S, van Uden-Kraan C, Jansen F, Witte B, van der Velden L, Lacko M, Cuijpers P, Leemans C, Verdonck-de Leeuw I. Feasibility of an eHealth application “OncoKompas” to improve personalized survivorship cancer care. Supportive Care in Cancer 2016;24(5):2163 View
  71. Wesselman L, Schild A, Coll‐Padros N, van der Borg W, Meurs J, Hooghiemstra A, Slot R, Sannemann L, Rami L, Molinuevo J, Bouwman F, Jessen F, van der Flier W, Sikkes S. Wishes and preferences for an online lifestyle program for brain health—A mixed methods study. Alzheimer's & Dementia: Translational Research & Clinical Interventions 2018;4(1):141 View
  72. Barnett J, Harricharan M, Fletcher D, Gilchrist B, Coughlan J. myPace: An Integrative Health Platform for Supporting Weight Loss and Maintenance Behaviors. IEEE Journal of Biomedical and Health Informatics 2015;19(1):109 View
  73. van Os-Medendorp H, van Leent- de Wit I, de Bruin-Weller M, Knulst A. Usage and Users of Online Self-Management Programs for Adult Patients With Atopic Dermatitis and Food Allergy: An Explorative Study. JMIR Research Protocols 2015;4(2):e57 View
  74. Knijnenburg S, Kremer L, Versluys A, Braam K, Mud M, van der Pal H, Caron H, Jaspers M. Evaluation of a patient information website for childhood cancer survivors. Supportive Care in Cancer 2013;21(4):919 View
  75. Svensson M, Hult M, van der Mark M, Grotta A, Jonasson J, von Hausswolff-Juhlin Y, Rössner S, Trolle Lagerros Y. The Change in Eating Behaviors in a Web-Based Weight Loss Program: A Longitudinal Analysis of Study Completers. Journal of Medical Internet Research 2014;16(11):e234 View
  76. McCully S, Don B, Updegraff J. Using the Internet to Help With Diet, Weight, and Physical Activity: Results From the Health Information National Trends Survey (HINTS). Journal of Medical Internet Research 2013;15(8):e148 View
  77. Nakhasi A, Shen A, Passarella R, Appel L, Anderson C. Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis. Journal of Medical Internet Research 2014;16(6):e153 View
  78. Bruce C, Harrison P, Giammattei C, Desai S, Sol J, Jones S, Schwartz R. Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes. JMIR mHealth and uHealth 2020;8(11):e17577 View
  79. 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
  80. Sylvia L, Faulkner M, Rakhilin M, Amado S, Gold A, Albury E, Dinerman J, Dohse H, Tovey R, Turner J, Schopfer D, Pletcher M, Nierenberg A. An online intervention for increasing physical activity in individuals with mood disorders at risk for cardiovascular disease: Design considerations. Journal of Affective Disorders 2021;291:102 View
  81. Giraldo‐O'Meara M, Doron G. Can self-esteem be improved using short daily training on mobile applications? Examining real world data of GG Self-esteem users. Clinical Psychologist 2021;25(2):131 View
  82. Giraldo‐O'Meara M, Doron G. Can self-esteem be improved using short daily training on mobile applications? Examining real world data of GG Self-esteem users. Clinical Psychologist 2021;25(2):131 View
  83. Alley S, Plotnikoff R, Duncan M, Short C, Mummery K, To Q, Schoeppe S, Rebar A, Vandelanotte C. Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement?. Journal of Health Psychology 2023;28(10):889 View
  84. Valenzuela Espinoza A, Steurbaut S, Dupont A, Cornu P, van Hooff R, Brouns R, Putman K. Health Economic Evaluations of Digital Health Interventions for Secondary Prevention in Stroke Patients: A Systematic Review. Cerebrovascular Diseases Extra 2019;9(1):1 View
  85. Park A. Tweets Related to Motivation and Physical Activity for Obesity-Related Behavior Change: Descriptive Analysis. Journal of Medical Internet Research 2022;24(7):e15055 View
  86. Alley S, van Uffelen J, Schoeppe S, Parkinson L, Hunt S, Power D, Waterman N, Waterman C, To Q, Duncan M, Schneiders A, Vandelanotte C. The Effectiveness of a Computer-Tailored Web-Based Physical Activity Intervention Using Fitbit Activity Trackers in Older Adults (Active for Life): Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(5):e31352 View
  87. Schroé H, Crombez G, De Bourdeaudhuij I, Van Dyck D. Investigating When, Which, and Why Users Stop Using a Digital Health Intervention to Promote an Active Lifestyle: Secondary Analysis With A Focus on Health Action Process Approach–Based Psychological Determinants. JMIR mHealth and uHealth 2022;10(1):e30583 View
  88. van Beurden S, Greaves C, Abraham C, Lawrence N, Smith J. ImpulsePal: The systematic development of a smartphone app to manage food temptations using intervention mapping. DIGITAL HEALTH 2021;7:205520762110576 View
  89. Chen E, Moracco K, Kainz K, Muessig K, Tate D. Developing and validating a new scale to measure the acceptability of health apps among adolescents. DIGITAL HEALTH 2022;8:205520762110676 View
  90. Schoeppe S, Duncan M, Plotnikoff R, Mummery W, Rebar A, Alley S, To Q, Short C, Vandelanotte C. Acceptability, usefulness, and satisfaction with a web-based video-tailored physical activity intervention: The TaylorActive randomized controlled trial. Journal of Sport and Health Science 2022;11(2):133 View
  91. Manne S, Imanguli M, Kashy D, Pesanelli M, Frederick S, Van Cleave J, Paddock L, Hudson S, Steinberg M, Clifford P, Domider M, Singh N. Enhancing Self-care Among Oral Cancer Survivors: Protocol for the Empowered Survivor Trial. JMIR Research Protocols 2023;12:e39996 View
  92. Gamoran A, Doron G. Effectiveness of brief daily training using a mobile app in reducing obsessive compulsive disorder (OCD) symptoms: Examining real world data of “OCD.app - Anxiety, mood & sleep”. Journal of Obsessive-Compulsive and Related Disorders 2023;36:100782 View
  93. Chen K, Yen T, Sun W, Tevaarwerk A, Wiegmann D, Heidrich S, Sesto M. Usage of a Web-Based Workplace and Symptom Self-Management Intervention Tool to Improve Work Ability for Breast Cancer Survivors. Journal of Cancer Education 2022;37(6):1824 View
  94. Cohen Rodrigues T, Breeman L, Kinik A, Reijnders T, Dusseldorp E, Janssen V, Kraaijenhagen R, Atsma D, Evers A. Effectiveness of Human-Supported and Self-Help eHealth Lifestyle Interventions for Patients With Cardiometabolic Risk Factors: A Meta-Analysis. Psychosomatic Medicine 2023;85(9):795 View
  95. Cohen Rodrigues T, Reijnders T, Janssen V, Kraaijenhagen R, Atsma D, Evers A. Experimental study about the use intention of human-supported and self-help eHealth interventions: What is the role of user expectations? (Preprint). JMIR Formative Research 2022 View
  96. Ossebaard H, van Gemert‐Pijnen L, Seydel E. Technology for Transparency: The Case of the Web‐Based Dutch National Health Portal. Policy & Internet 2012;4(2):1 View
  97. Seid A, Fufa D, Bitew Z. The use of internet-based smartphone apps consistently improved consumers' healthy eating behaviors: a systematic review of randomized controlled trials. Frontiers in Digital Health 2024;6 View
  98. Chaves A, Arnáez S, García-Soriano G. The Effectiveness of a Cell Phone eHealth App in Changing Knowledge, Stigmatizing Attitudes, and Intention to Seek Help Associated With Obsessive-Compulsive Disorder: Pilot Questionnaire Study. JMIR mHealth and uHealth 2024;12:e48027 View
  99. Cohen Rodrigues T, de Buisonjé D, Reijnders T, Santhanam P, Kowatsch T, Breeman L, Janssen V, Kraaijenhagen R, Atsma D, Evers A. Human cues in eHealth to promote lifestyle change: An experimental field study to examine adherence to self-help interventions. Internet Interventions 2024;35:100726 View
  100. Alley S, Schoeppe S, Moore H, To Q, van Uffelen J, Parker F, Duncan M, Schneiders A, Vandelanotte C. The moderating effect of social support on the effectiveness of a web-based, computer-tailored physical activity intervention for older adults. Journal of Health Psychology 2024 View
  101. Caperchione C, Kolt G, Savage T, Rosenkranz R, Maeder A, Vandelanotte C, Duncan M, Van Itallie A, Tague R, Mummery W. WALK 2.0: Examining the effectiveness of Web 2.0 features to increase physical activity in a ‘real world’ setting: an ecological trial protocol. BMJ Open 2014;4(10):e006374 View

Books/Policy Documents

  1. Pohl A, Trill R. Building Sustainable Health Ecosystems. View
  2. Martínez-Villaseñor M, González-Mendoza M. Ambient Assisted Living and Home Care. View
  3. Oldenburg B, Baptista S, Cocker F, O’Neil A. Handbook of Psychocardiology. View
  4. Langrial S, Lappalainen P. Web-Based Behavioral Therapies for Mental Disorders. View
  5. Ludden G, Kelders S, Snippert B. Persuasive Technology. View
  6. Oldenburg B, Baptista S, Cocker F, O’Neil A. Handbook of Psychocardiology. View
  7. Langrial S, Lappalainen P. Research Anthology on Mental Health Stigma, Education, and Treatment. View