This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2754) Web-based and Mobile Health Interventions (3128) Mobile Health (mhealth) (2777) Usage Data and Process Outcomes in eHealth Trials (56)

Published on in Vol 1, No 2 (2013): Jul-Dec

Personal Health Technologies in Employee Health Promotion: Usage Activity, Usefulness, and Health-Related Outcomes in a 1-Year Randomized Controlled Trial

Personal Health Technologies in Employee Health Promotion: Usage Activity, Usefulness, and Health-Related Outcomes in a 1-Year Randomized Controlled Trial

Personal Health Technologies in Employee Health Promotion: Usage Activity, Usefulness, and Health-Related Outcomes in a 1-Year Randomized Controlled Trial

Authors of this article:

Elina Mattila1, 2 Author Orcid Image ;   Anna-Leena Orsama1 ;   Aino Ahtinen1 ;   Leila Hopsu3 ;   Timo Leino3 ;   Ilkka Korhonen1, 2 Author Orcid Image
Article Authors Cited by (59) Tweetations (3) Metrics

Journals

  1. 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
  2. Backonja U, Hall A, Thielke S. Older Adults’ Current and Potential Uses of Information Technologies in a Changing World. The International Journal of Aging and Human Development 2014;80(1):41 View
  3. Kaasinen E, Schmalfuß F, Özturk C, Aromaa S, Boubekeur M, Heilala J, Heikkilä P, Kuula T, Liinasuo M, Mach S, Mehta R, Petäjä E, Walter T. Empowering and engaging industrial workers with Operator 4.0 solutions. Computers & Industrial Engineering 2020;139:105678 View
  4. Samoggia A, Riedel B. Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge. Food Research International 2020;128:108766 View
  5. Ford II J, Alagoz E, Dinauer S, Johnson K, Pe-Romashko K, Gustafson D. Successful Organizational Strategies to Sustain Use of A-CHESS: A Mobile Intervention for Individuals With Alcohol Use Disorders. Journal of Medical Internet Research 2015;17(8):e201 View
  6. 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
  7. 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
  8. Hoeppner B, Hoeppner S, Seaboyer L, Schick M, Wu G, Bergman B, Kelly J. How Smart are Smartphone Apps for Smoking Cessation? A Content Analysis. Nicotine & Tobacco Research 2016;18(5):1025 View
  9. Choo C, Burton A. Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review. JMIR mHealth and uHealth 2018;6(2):e18 View
  10. Bhavnani S, Narula J, Sengupta P. Mobile technology and the digitization of healthcare. European Heart Journal 2016;37(18):1428 View
  11. Helander E, Vuorinen A, Wansink B, Korhonen I, Young M. Are Breaks in Daily Self-Weighing Associated with Weight Gain?. PLoS ONE 2014;9(11):e113164 View
  12. Fortuna K, Lohman M, Gill L, Bruce M, Bartels S. Adapting a Psychosocial Intervention for Smartphone Delivery to Middle-Aged and Older Adults with Serious Mental Illness. The American Journal of Geriatric Psychiatry 2017;25(8):819 View
  13. Meyer D, Jayawardana M, Muir S, Ho D, Sackett O. Promoting Psychological Well-Being at Work by Reducing Stress and Improving Sleep: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(10):e267 View
  14. Nguyen E, Bugno L, Kandah C, Plevinsky J, Poulopoulos N, Wojtowicz A, Schneider K, Greenley R. Is There a Good App for That? Evaluating m-Health Apps for Strategies That Promote Pediatric Medication Adherence. Telemedicine and e-Health 2016;22(11):929 View
  15. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894 View
  16. Wood A, Prins A, Bush N, Hsia J, Bourn L, Earley M, Walser R, Ruzek J. Reduction of Burnout in Mental Health Care Providers Using the Provider Resilience Mobile Application. Community Mental Health Journal 2017;53(4):452 View
  17. Boucher S, Edwards O, Gray A, Nada-Raja S, Lillis J, Tylka T, Horwath C. Teaching Intuitive Eating and Acceptance and Commitment Therapy Skills Via a Web-Based Intervention: A Pilot Single-Arm Intervention Study. JMIR Research Protocols 2016;5(4):e180 View
  18. 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
  19. Mattila E, Lappalainen R, Välkkynen P, Sairanen E, Lappalainen P, Karhunen L, Peuhkuri K, Korpela R, Kolehmainen M, Ermes M. Usage and Dose Response of a Mobile Acceptance and Commitment Therapy App: Secondary Analysis of the Intervention Arm of a Randomized Controlled Trial. JMIR mHealth and uHealth 2016;4(3):e90 View
  20. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
  21. Harjumaa M, Absetz P, Ermes M, Mattila E, Männikkö R, Tilles-Tirkkonen T, Lintu N, Schwab U, Umer A, Leppänen J, Pihlajamäki J. Internet-Based Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Design and 6-Month Usage Results of Randomized Controlled Trial. JMIR Diabetes 2020;5(3):e15219 View
  22. Knapova L, Klocek A, Elavsky S. The Role of Psychological Factors in Older Adults’ Readiness to Use eHealth Technology: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e14670 View
  23. Morrison L, Hargood C, Lin S, Dennison L, Joseph J, Hughes S, Michaelides D, Johnston D, Johnston M, Michie S, Little P, Smith P, Weal M, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201 View
  24. Miyamoto S, Henderson S, Young H, Pande A, Han J. Tracking Health Data Is Not Enough: A Qualitative Exploration of the Role of Healthcare Partnerships and mHealth Technology to Promote Physical Activity and to Sustain Behavior Change. JMIR mHealth and uHealth 2016;4(1):e5 View
  25. Freak-Poli R, Cumpston M, Albarqouni L, Clemes S, Peeters A. Workplace pedometer interventions for increasing physical activity. Cochrane Database of Systematic Reviews 2020 View
  26. Payne H, Lister C, West J, Bernhardt J. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20 View
  27. Kwan V, Hagen G, Noel M, Dobson K, Yeates K. Healthcare at Your Fingertips: The Professional Ethics of Smartphone Health-Monitoring Applications. Ethics & Behavior 2017;27(8):615 View
  28. Lee M, Lee H, Kim Y, Kim J, Cho M, Jang J, Jang H. Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature. International Journal of Environmental Research and Public Health 2018;15(12):2838 View
  29. Widmer R, Senecal C, Allison T, Lopez-Jimenez F, Lerman L, Lerman A. Dose-Response Effect of a Digital Health Intervention During Cardiac Rehabilitation: Subanalysis of Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(2):e13055 View
  30. Jallo N, Thacker L, Menzies V, Stojanovic P, Svikis D. A Stress Coping App for Hospitalized Pregnant Women at Risk for Preterm Birth. MCN: The American Journal of Maternal/Child Nursing 2017;42(5):257 View
  31. Jung M, Ha Y. Effectiveness of a Workplace Walking Program Using a Fitness Tracker Including Individual Counseling and Tailored Text Messaging. Journal of Korean Academy of Community Health Nursing 2019;30(3):257 View
  32. Spaulding E, Marvel F, Piasecki R, Martin S, Allen J. User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review. JMIR Cardio 2021;5(1):e18834 View
  33. Whitelock V, Kersbergen I, Higgs S, Aveyard P, Halford J, Robinson E. User Experiences of a Smartphone-Based Attentive Eating App and Their Association With Diet and Weight Loss Outcomes: Thematic and Exploratory Analyses From a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e16780 View
  34. Torres E, Zhang T. The impact of wearable devices on employee wellness programs: A study of hotel industry workers. International Journal of Hospitality Management 2021;93:102769 View
  35. Kaveh M, Layeghiasl M, Nazari M, Ghahremani L, Karimi M. What Are the Determinants of a Workplace Health Promotion? Application of a Social Marketing Model in Identifying Determinants of Physical Activity in the Workplace (a Qualitative Study). Frontiers in Public Health 2021;8 View
  36. Shah L, Ding J, Spaulding E, Yang W, Lee M, Demo R, Marvel F, Martin S. Sociodemographic Characteristics Predicting Digital Health Intervention Use After Acute Myocardial Infarction. Journal of Cardiovascular Translational Research 2021;14(5):951 View
  37. Lee J, Turchioe M, Creber R, Biviano A, Hickey K, Bakken S. Phenotypes of engagement with mobile health technology for heart rhythm monitoring. JAMIA Open 2021;4(2) View
  38. Masterson Creber R, Turchioe M. Returning Cardiac Rhythm Data to Patients. Cardiac Electrophysiology Clinics 2021;13(3):555 View
  39. Zahed K, Fields S, Sasangohar F. Investigating the Efficacy of Behavioral Models to Predict Use of Health Technology: A Scoping Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):2172 View
  40. Mattila E, Hansen S, Bundgaard L, Ramsey L, Dunning A, Silva M, Harjumaa M, Ermes M, Marques M, Matos M, Larsen S, Encantado J, Santos I, Horgan G, O'Driscoll R, Turicchi J, Duarte C, Palmeira A, Stubbs R, Heitmann B, Lähteenmäki L. Users’ Experiences With the NoHoW Web-Based Toolkit With Weight and Activity Tracking in Weight Loss Maintenance: Long-term Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(1):e29302 View
  41. Chin W, Kurowski A, Gore R, Chen G, Punnett L. Use of a Mobile App for the Process Evaluation of an Intervention in Health Care: Development and Usability Study. JMIR Formative Research 2021;5(10):e20739 View
  42. Junker M, Böhm M, Franz M, Fritsch T, Krcmar H. Value of normative belief in intention to use workplace health promotion apps. BMC Medical Informatics and Decision Making 2022;22(1) View
  43. Roossien C, de Jong M, Bonvanie A, Maeckelberghe E. Ethics in Design and Implementation of Technologies for Workplace Health Promotion: A Call for Discussion. Frontiers in Digital Health 2021;3 View
  44. Pahlevanynejad S, Niakan Kalhori S, Katigari M, Eshpala R, Tsiknakis M. Personalized Mobile Health for Elderly Home Care: A Systematic Review of Benefits and Challenges. International Journal of Telemedicine and Applications 2023;2023:1 View
  45. Wang Y, Wu T, Chen Z. Active Usage of Mobile Health Applications: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e25330 View
  46. Ambrogio G, Filice L, Longo F, Padovano A. Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic. Computers & Industrial Engineering 2022;169:108158 View
  47. Park H, Jeong S, Chung H, Soh J, Hyun Y, Bang S, Kim H. Use of video-based telehealth services using a mobile app for workers in underserved areas during the COVID-19 pandemic: A prospective observational study. International Journal of Medical Informatics 2022;166:104844 View
  48. Weyer J, Cepera K. Vertrauen in digitale Technik. Der Einfluss mobiler Apps auf die Bereitschaft zur Verhaltensänderung. Zeitschrift für Soziologie 2022;50(6):373 View
  49. Ruiz-Burga E, Bruijning-Verhagen P, Palmer P, Sandcroft A, Fernandes G, de Hoog M, Bryan L, Pierre R, Bailey H, Giaquinto C, Thorne C, Christie C. Detection of Potential Arbovirus Infections and Pregnancy Complications in Pregnant Women in Jamaica Using a Smartphone App (ZIKApp): Pilot Evaluation Study. JMIR Formative Research 2022;6(7):e34423 View
  50. Chen T, Or C. Perceptions of a machine learning-based lower-limb exercise training system among older adults with knee pain. DIGITAL HEALTH 2023;9 View
  51. Lassar W, Hertelendy A. Investigating drivers of telecare acceptance to improve healthcare quality for independently living older adults. International Journal for Quality in Health Care 2024;36(2) View
  52. Udoh E, Hermel M, Bharmal M, Nayak A, Patel S, Butlin M, Bhavnani S. Nanosensor Technologies and the Digital Transformation of Healthcare. Personalized Medicine 2023;20(3):251 View
  53. Hall K, Helmus B, Eymann T. How to Balance Privacy and (Health) Benefits: Privacy Calculus and the Intention to Use Health Tracking at the Workplace. International Journal of Human–Computer Interaction 2024:1 View

Books/Policy Documents

  1. Fleming J, McGillicuddy J, Treiber F. Technological Advances in Organ Transplantation. View
  2. Kaasinen E, Aromaa S, Heikkilä P, Liinasuo M. Advances in Production Management Systems. Production Management for the Factory of the Future. View
  3. Vuorinen A, Ermes M, Karhula T, Rääpysjärvi K, Lähteenmäki J. Building Sustainable Health Ecosystems. View
  4. Sari H, Othman M, Al-Ghaili A. Recent Trends in Data Science and Soft Computing. View
  5. Junker M, Böhm M, Edwards F, Krcmar H. Research Anthology on Changing Dynamics of Diversity and Safety in the Workforce. View