Published on in Vol 10, No 4 (2008): Oct-Dec

This is a member publication of Unilever

Rates and Determinants of Uptake and Use of an Internet Physical Activity and Weight Management Program in Office and Manufacturing Work Sites in England: Cohort Study

Rates and Determinants of Uptake and Use of an Internet Physical Activity and Weight Management Program in Office and Manufacturing Work Sites in England: Cohort Study

Rates and Determinants of Uptake and Use of an Internet Physical Activity and Weight Management Program in Office and Manufacturing Work Sites in England: Cohort Study

Journals

  1. Cavill J, Jancey J, Howat P. Review and recommendations for online physical activity and nutrition programmes targeted at over 40s. Global Health Promotion 2012;19(2):44 View
  2. Soureti A, Murray P, Cobain M, van Mechelen W, Hurling R. Web-Based Risk Communication and Planning in an Obese Population: Exploratory Study. Journal of Medical Internet Research 2011;13(4):e100 View
  3. ESLIGER D, ROWLANDS A, HURST T, CATT M, MURRAY P, ESTON R. Validation of the GENEA Accelerometer. Medicine & Science in Sports & Exercise 2011;43(6):1085 View
  4. Robroek S, Lindeboom D, Burdorf A. Initial and Sustained Participation in an Internet-delivered Long-term Worksite Health Promotion Program on Physical Activity and Nutrition. Journal of Medical Internet Research 2012;14(2):e43 View
  5. Kelders S, Van Gemert-Pijnen J, Werkman A, Nijland N, Seydel E. Effectiveness of a Web-based Intervention Aimed at Healthy Dietary and Physical Activity Behavior: A Randomized Controlled Trial About Users and Usage. Journal of Medical Internet Research 2011;13(2):e32 View
  6. Garip G, Morton K, Bridger R, Yardley L. Evaluating the feasibility of a web-based weight loss programme for naval service personnel with excess body weight. Pilot and Feasibility Studies 2017;3(1) View
  7. Bloomgarden Z, Li X. Helping people with diabetes to exercise 帮助糖尿病患者运动. Journal of Diabetes 2015;7(2):150 View
  8. Sawesi S, Rashrash M, Phalakornkule K, Carpenter J, Jones J. The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature. JMIR Medical Informatics 2016;4(1):e1 View
  9. McVay M, Yancy W, Bennett G, Jung S, Voils C. Perceived barriers and facilitators of initiation of behavioral weight loss interventions among adults with obesity: a qualitative study. BMC Public Health 2018;18(1) View
  10. Saul J, Amato M, Cha S, Graham A. Engagement and attrition in Internet smoking cessation interventions: Insights from a cross-sectional survey of “one-hit-wonders”. Internet Interventions 2016;5:23 View
  11. Svensson M, Lagerros Y. Motivational technologies to promote weight loss—From Internet to gadgets. Patient Education and Counseling 2010;79(3):356 View
  12. Niessen M, Laan E, Robroek S, Essink-Bot M, Peek N, Kraaijenhagen R, Van Kalken C, Burdorf A. Determinants of Participation in a Web-Based Health Risk Assessment and Consequences for Health Promotion Programs. Journal of Medical Internet Research 2013;15(8):e151 View
  13. Ellegård L, Bertz F, Winkvist A, Bosaeus I, Brekke H. Body composition in overweight and obese women postpartum: bioimpedance methods validated by dual energy X-ray absorptiometry and doubly labeled water. European Journal of Clinical Nutrition 2016;70(10):1181 View
  14. Watson S, Woodside J, Ware L, Hunter S, McGrath A, Cardwell C, Appleton K, Young I, McKinley M. Effect of a Web-Based Behavior Change Program on Weight Loss and Cardiovascular Risk Factors in Overweight and Obese Adults at High Risk of Developing Cardiovascular Disease: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(7):e177 View
  15. Veinot T, Mitchell H, Ancker J. Good intentions are not enough: how informatics interventions can worsen inequality. Journal of the American Medical Informatics Association 2018;25(8):1080 View
  16. Brouwer W, Kroeze W, Crutzen R, de Nooijer J, de Vries N, Brug J, Oenema A. Which Intervention Characteristics are Related to More Exposure to Internet-Delivered Healthy Lifestyle Promotion Interventions? A Systematic Review. Journal of Medical Internet Research 2011;13(1):e2 View
  17. van Wier M, Dekkers J, Bosmans J, Heymans M, Hendriksen I, Pronk N, van Mechelen W, van Tulder M. Economic evaluation of a weight control program with e-mail and telephone counseling among overweight employees: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2012;9(1) View
  18. Hutchesson M, Tan C, Morgan P, Callister R, Collins C. Enhancement of Self-Monitoring in a Web-Based Weight Loss Program by Extra Individualized Feedback and Reminders: Randomized Trial. Journal of Medical Internet Research 2016;18(4):e82 View
  19. Jacobs N, De Bourdeaudhuij I, Claes N. Surfing depth on a behaviour change website: Predictors and effects on behaviour. Informatics for Health and Social Care 2010;35(2):41 View
  20. 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
  21. Sieverink F, Kelders S, van Gemert-Pijnen J. Clarifying the Concept of Adherence to eHealth Technology: Systematic Review on When Usage Becomes Adherence. Journal of Medical Internet Research 2017;19(12):e402 View
  22. Long X, Pijl M, Pauws S, Lacroix J, C. Goris A, Aarts R. Towards tailored physical activity health intervention: Predicting dropout participants. Health and Technology 2014;4(3):273 View
  23. Neve M, Collins C, Morgan P. Dropout, Nonusage Attrition, and Pretreatment Predictors of Nonusage Attrition in a Commercial Web-Based Weight Loss Program. Journal of Medical Internet Research 2010;12(4):e69 View
  24. Neuhauser L, Kreps G. eHealth communication and behavior change: promise and performance. Social Semiotics 2010;20(1):9 View
  25. Kreps G, Neuhauser L. New directions in eHealth communication: Opportunities and challenges. Patient Education and Counseling 2010;78(3):329 View
  26. Vroege D, Wijsman C, Broekhuizen K, de Craen A, van Heemst D, van der Ouderaa F, van Mechelen W, Slagboom P, Catt M, Westendorp R, Verhagen E, Mooijaart S. Dose-Response Effects of a Web-Based Physical Activity Program on Body Composition and Metabolic Health in Inactive Older Adults: Additional Analyses of a Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(12):e265 View
  27. Pressler A, Knebel U, Esch S, Kölbl D, Esefeld K, Scherr J, Haller B, Schmidt-Trucksäss A, Krcmar H, Halle M, Leimeister J. An internet-delivered exercise intervention for workplace health promotion in overweight sedentary employees: A randomized trial. Preventive Medicine 2010;51(3-4):234 View
  28. Walker L, Im E, Vaughan M. New Mothers' Interest in Web-Based Health Promotion: Association with Healthcare Barriers, Risk Status, and User Characteristics. Telemedicine and e-Health 2012;18(10):785 View
  29. Wanner M, Martin-Diener E, Braun-Fahrländer C, Bauer G, Martin B. Effectiveness of Active-Online, an Individually Tailored Physical Activity Intervention, in a Real-Life Setting: Randomized Controlled Trial. Journal of Medical Internet Research 2009;11(3):e23 View
  30. 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
  31. Maruyama C, Kimura M, Okumura H, Hayashi K, Arao T. Effect of a worksite-based intervention program on metabolic parameters in middle-aged male white-collar workers: A randomized controlled trial. Preventive Medicine 2010;51(1):11 View
  32. 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
  33. Slinde F, Bertz F, Winkvist A, Ellegård L, Olausson H, Brekke H. Energy expenditure by multisensor armband in overweight and obese lactating women validated by doubly labeled water. Obesity 2013;21(11):2231 View
  34. Zulman D, Damschroder L, Smith R, Resnick P, Sen A, Krupka E, Richardson C. Implementation and evaluation of an incentivized Internet-mediated walking program for obese adults. Translational Behavioral Medicine 2013;3(4):357 View
  35. Frierson G, Morrow J, Vidales A. Successful Minority Recruitment and Adherence in Physical Activity Internet-Based Research: The WIN Study. Journal of the National Medical Association 2012;104(11-12):544 View
  36. Jimenez P, Bregenzer A. Integration of eHealth Tools in the Process of Workplace Health Promotion: Proposal for Design and Implementation. Journal of Medical Internet Research 2018;20(2):e65 View
  37. Park H, Kim K, Soh J, Hyun Y, Jang S, Lee S, Hwang G, Kim H. Factors Influencing Acceptance of Personal Health Record Apps for Workplace Health Promotion: Cross-Sectional Questionnaire Study. JMIR mHealth and uHealth 2020;8(6):e16723 View
  38. Robroek S, Brouwer W, Lindeboom D, Oenema A, Burdorf A. Demographic, Behavioral, and Psychosocial Correlates of Using the Website Component of a Worksite Physical Activity and Healthy Nutrition Promotion Program: A Longitudinal Study. Journal of Medical Internet Research 2010;12(3):e44 View
  39. Fukuoka Y, Lindgren T, Jong S. Qualitative Exploration of the Acceptability of a Mobile Phone and Pedometer‐Based Physical Activity Program in a Diverse Sample of Sedentary Women. Public Health Nursing 2012;29(3):232 View
  40. Yu C, Bahniwal R, Laupacis A, Leung E, Orr M, Straus S. Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers. Journal of the American Medical Informatics Association 2012;19(4):514 View
  41. Wanner M, Martin-Diener E, Bauer G, Braun-Fahrländer C, Martin B. Comparison of Trial Participants and Open Access Users of a Web-Based Physical Activity Intervention Regarding Adherence, Attrition, and Repeated Participation. Journal of Medical Internet Research 2010;12(1):e3 View
  42. Davis A, Wilson K, Ellis R. An observation of the impact of tailored messages on participant non-compliance during Desire2Move. Translational Behavioral Medicine 2021;11(12):2127 View
  43. Brankovic A, Hendrie G, Baird D, Khanna S. Predicting Disengagement to Better Support Outcomes in a Web-Based Weight Loss Program Using Machine Learning Models: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e43633 View

Books/Policy Documents

  1. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. View
  2. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View
  3. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View