Published on in Vol 12, No 3 (2010): Jul-Sep

Demographic, Behavioral, and Psychosocial Correlates of Using the Website Component of a Worksite Physical Activity and Healthy Nutrition Promotion Program: A Longitudinal Study

Demographic, Behavioral, and Psychosocial Correlates of Using the Website Component of a Worksite Physical Activity and Healthy Nutrition Promotion Program: A Longitudinal Study

Demographic, Behavioral, and Psychosocial Correlates of Using the Website Component of a Worksite Physical Activity and Healthy Nutrition Promotion Program: A Longitudinal Study

Journals

  1. Muir S, Silva S, Woldegiorgis M, Rider H, Meyer D, Jayawardana M. Predictors of Success of Workplace Physical Activity Interventions: A Systematic Review. Journal of Physical Activity and Health 2019;16(8):647 View
  2. Robroek S, Polinder S, Bredt F, Burdorf A. Cost-effectiveness of a long-term Internet-delivered worksite health promotion programme on physical activity and nutrition: a cluster randomized controlled trial. Health Education Research 2012;27(3):399 View
  3. Wolin K, Steinberg D, Lane I, Askew S, Greaney M, Colditz G, Bennett G, Lof M. Engagement with eHealth Self-Monitoring in a Primary Care-Based Weight Management Intervention. PLOS ONE 2015;10(10):e0140455 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. Meyer D, Jayawar M, Muir S, Ho D, Sackett O. Increasing Awareness of the Importance of Physical Activity and Healthy Nutrition: Results From a Mixed-Methods Evaluation of a Workplace Program. Journal of Physical Activity and Health 2019;16(4):259 View
  6. Schulz D, Kremers S, De Vries H. Tailored eHealth Lifestyle Promotion: Which Behavioral Modules Do Users Prefer?. Journal of Health Communication 2015;20(6):663 View
  7. Pattath P. Ergonomic Preferences and Future Perspectives to Prevent Work-Related Musculoskeletal Disorders in Information Technology Professionals: a Qualitative Study. Occupational Health Science 2018;2(3):279 View
  8. King D, Toobert D, Portz J, Strycker L, Doty A, Martin C, Boggs J, Faber A, Geno C, Glasgow R. What patients want: relevant health information technology for diabetes self-management. Health and Technology 2012;2(3):147 View
  9. 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
  10. Coumans J, Bolman C, Oenema A, Lechner L. Predictors of Self-Determined Module Choice in a Web-Based Computer-Tailored Diet and Physical Activity Intervention: Secondary Analysis of Data From a Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(7):e15024 View
  11. Greaney M, Sprunck-Harrild K, Bennett G, Puleo E, Haines J, Viswanath K, Emmons K. Use of Email and Telephone Prompts to Increase Self-Monitoring in a Web-Based Intervention: Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(4):e96 View
  12. Ainsworth B, Steele M, Stuart B, Joseph J, Miller S, Morrison L, Little P, Yardley L. Using an Analysis of Behavior Change to Inform Effective Digital Intervention Design: How Did the PRIMIT Website Change Hand Hygiene Behavior Across 8993 Users?. Annals of Behavioral Medicine 2017;51(3):423 View
  13. Jung E, Walsh-Childers K, Kim H. Factors influencing the perceived credibility of diet-nutrition information web sites. Computers in Human Behavior 2016;58:37 View
  14. Walker T, Tullar J, Taylor W, Román R, Amick B. How Do Stages of Change for Physical Activity Relate to Employee Sign-Up for and Completion of a Worksite Physical Activity Competition?. Health Promotion Practice 2017;18(1):93 View
  15. Urbanoski K, van Mierlo T, Cunningham J. Investigating Patterns of Participation in an Online Support Group for Problem Drinking: a Social Network Analysis. International Journal of Behavioral Medicine 2017;24(5):703 View
  16. 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
  17. Bardus M, Blake H, Lloyd S, Suzanne Suggs L. Reasons for participating and not participating in a e-health workplace physical activity intervention. International Journal of Workplace Health Management 2014;7(4):229 View
  18. 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
  19. 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
  20. Vasconcellos-Silva P, Castiel L, Ferreira F. Padrões de buscas sobre câncer na internet: reatividades, riscos e afetos. Ciência & Saúde Coletiva 2016;21(3):861 View
  21. Friedman D, Hooker S, Wilcox S, Burroughs E, Rheaume C. African American Men's Perspectives on Promoting Physical Activity: “We're Not That Difficult to Figure Out!”. Journal of Health Communication 2012;17(10):1151 View
  22. Kolarzyk E, Pac A, Shpakou A, Kleszczewska E, Klimackaya L, Laskiene S. Nutrition of overweight and obese students. Open Medicine 2012;7(5):665 View
  23. 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
  24. 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
  25. van Genugten L, van Empelen P, Oenema A. Intervention Use and Action Planning in a Web-Based Computer-Tailored Weight Management Program for Overweight Adults: Randomized Controlled Trial. JMIR Research Protocols 2014;3(3):e31 View
  26. Tong S, Khoo E, Low W, Ng C, Wong C, Yusoff H, Abu Bakar A, Tan H, Jiwa M. Health Innovation Project: A Concept Paper on a Virtual Health Promotion Program for Men. Journal of Men's Health 2014;11(1):4 View
  27. Coumans J, Oenema A, Bolman C, Lechner L. Use and Appreciation of a Web-Based, Computer-Tailored Diet and Physical Activity Intervention Based on the Self-determination Theory: Evaluation Study of Process and Predictors. JMIR Formative Research 2021;5(12):e22390 View
  28. Gore R, Lynch C, Jordan C, Collins A, Robinson R, Fuller G, Ames P, Keerthi P, Kandukuri Y. Estimating the Health Effects of Adding Bicycle and Pedestrian Paths at the Census Tract Level: Multiple Model Comparison. JMIR Public Health and Surveillance 2022;8(8):e37379 View
  29. Garett R, Cumberland W, Chakravarthy B, Springer S, Young S. A qualitative exploration of the potential role of using online social media support communities to increase initiation of Medications for Opioid Use Disorder (MOUD). Journal of Substance Use 2023;28(6):880 View