Published on in Vol 5, No 6 (2017): June

Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey

Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey

Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey

Journals

  1. Petrovčič A, Peek S, Dolničar V. Predictors of Seniors’ Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in Slovenia. International Journal of Environmental Research and Public Health 2019;16(9):1623 View
  2. Zhong R, Rau P. A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation. JMIR mHealth and uHealth 2020;8(5):e14453 View
  3. Lee J, Wang M, Luk T, Guo N, Chan S, Lam T. Associations of Electronic Device Use Before and After Sleep With Psychological Distress Among Chinese Adults in Hong Kong: Cross-Sectional Study. JMIR Mental Health 2020;7(6):e15403 View
  4. Luk T, Wang M, Shen C, Wan A, Chau P, Oliffe J, Viswanath K, Chan S, Lam T. Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates. Journal of Behavioral Addictions 2018;7(4):1157 View
  5. Mahmood A, Kedia S, Wyant D, Ahn S, Bhuyan S. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. DIGITAL HEALTH 2019;5:205520761988218 View
  6. Stühmann L, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396 View
  7. Rathnayake S, Moyle W, Jones C, Calleja P. Family carers’ needs related to management of functional disability in dementia care and use of mHealth applications in health information seeking: An online survey. Collegian 2020;27(3):288 View
  8. Mayer M, Rodríguez Blanco O, Torrejon A. Use of Health Apps by Nurses for Professional Purposes: Web-Based Survey Study. JMIR mHealth and uHealth 2019;7(11):e15195 View
  9. Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301 View
  10. Brusniak K, Arndt H, Feisst M, Haßdenteufel K, Matthies L, Deutsch T, Hudalla H, Abele H, Wallwiener M, Wallwiener S. Challenges in Acceptance and Compliance in Digital Health Assessments During Pregnancy: Prospective Cohort Study. JMIR mHealth and uHealth 2020;8(10):e17377 View
  11. Shen C, Wang M, Chu J, Wan A, Viswanath K, Chan S, Lam T. Sharing Family Life Information Through Video Calls and Other Information and Communication Technologies and the Association With Family Well-Being: Population-Based Survey. JMIR Mental Health 2017;4(4):e57 View
  12. Huang Z, Soljak M, Boehm B, Car J. Clinical relevance of smartphone apps for diabetes management: A global overview. Diabetes/Metabolism Research and Reviews 2018;34(4) View
  13. Shen C, Wang M, Wan A, Viswanath K, Chan S, Lam T. Health information exposure from information and communication technologies and its associations with health behaviors: Population-based survey. Preventive Medicine 2018;113:140 View
  14. Flaherty S, McCarthy M, Collins A, McAuliffe F. A different perspective on consumer engagement: exploring the experience of using health apps to support healthier food purchasing. Journal of Marketing Management 2019;35(3-4):310 View
  15. Shen C, Wang M, Ho H, Wan A, Stewart S, Viswanath K, Chan S, Lam T. Test–retest reliability and validity of a single-item Self-reported Family Happiness Scale in Hong Kong Chinese: findings from Hong Kong Jockey Club FAMILY Project. Quality of Life Research 2019;28(2):535 View
  16. Bach R, Wenz A, Borsci S. Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE 2020;15(6):e0234663 View
  17. Lin T, Bautista J, Core R. Seniors and mobiles: A qualitative inquiry of mHealth adoption among Singapore seniors. Informatics for Health and Social Care 2020;45(4):360 View
  18. Zhao S, Wang M, Viswanath K, Lai A, Fong D, Lin C, Chan S, Lam T. Short Sleep Duration and Insomnia Symptoms were Associated with Lower Happiness Levels in Chinese Adults in Hong Kong. International Journal of Environmental Research and Public Health 2019;16(12):2079 View
  19. DÖNER GÜNER P, BÖLÜKBAŞI H, KOKAÇYA S, YENGİL E, ÖZER C. Mustafa Kemal University Students' Use of Mobile Health Applications. Konuralp Tıp Dergisi 2018;10(3):264 View
  20. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023 View
  21. Bhattarai P, Newton-John T, Phillips J. Apps for Older People’s Pain Self-Management: Perspectives of Primary Care and Allied Health Clinicians. Pain Medicine 2020;21(4):686 View
  22. Hui C, Lam B, Wong A, Tao T, Ho E, Suen Y, Lee E, Chan S, Chang W, Chong C, Siu C, Lo W, Chen E. ReMind, a smartphone application for psychotic relapse prediction: A longitudinal study protocol. Early Intervention in Psychiatry 2021;15(6):1659 View
  23. Zhang Y, Liu C, Luo S, Huang J, Yang Y, Ma X, Li X, Zhou Z. Effectiveness of the Family Portal Function on the Lilly Connected Care Program (LCCP) for Patients With Type 2 Diabetes: Retrospective Cohort Study With Propensity Score Matching. JMIR mHealth and uHealth 2021;9(2):e25122 View
  24. Guo N, Guo Z, Zhao S, Ho S, Fong D, Lai A, Chan S, Wang M, Lam T, Wong H. Digital inequalities in health information seeking behaviors and experiences in the age of web 2.0: A population-based study in Hong Kong. PLOS ONE 2021;16(3):e0249400 View
  25. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  26. Franzmair J, Diesner-Treiber S, Voitl J, Voitl P. Effective German and English Language mHealth Apps for Self-management of Bronchial Asthma in Children and Adolescents: Comparison Study. JMIR mHealth and uHealth 2021;9(5):e24907 View
  27. Wenz B, Graf J, Du Y, Teti A, Gabrys L. Physical Activity Treatment in Adults with Type 2 Diabetes Mellitus per National Treatment Guidelines for Germany: A Telephone-Survey-Based Analysis. Healthcare 2022;10(10):1857 View
  28. Armbruster C, Knaub M, Farin-Glattacker E, von der Warth R. Predictors of Adherence to Cancer-Related mHealth Apps in Cancer Patients Undergoing Oncological or Follow-Up Treatment—A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(20):13689 View
  29. Rosenberg D, Mano R, Mesch G. Ethnicity and Perceived Influence of Social Media-Based Health Information on Health Decisions and Behaviors: A Test of the Social Diversification Hypothesis. Journal of Consumer Health on the Internet 2022;26(1):1 View
  30. Suh A, Li M. How the use of mobile fitness technology influences older adults’ physical and psychological well-being. Computers in Human Behavior 2022;131:107205 View
  31. Vicente M. ICT for healthy and active aging: The elderly as first and last movers. Telecommunications Policy 2022;46(3):102262 View
  32. Stewart T, Martin C, Williamson D. The Complicated Relationship between Dieting, Dietary Restraint, Caloric Restriction, and Eating Disorders: Is a Shift in Public Health Messaging Warranted?. International Journal of Environmental Research and Public Health 2022;19(1):491 View
  33. Ding M, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2024;40(10):2560 View
  34. Montazeri M, Khajouei R, Faggioni L. Determining the Effect of the Picture Archiving and Communication System (PACS) on Different Dimensions of Users’ Work. Radiology Research and Practice 2022;2022:1 View
  35. Van Wier M, Urry E, Lissenberg-Witte B, Kramer S. User characteristics associated with use of wrist-worn wearables and physical activity apps by adults with and without impaired speech-in-noise recognition: a cross-sectional analysis. International Journal of Audiology 2024;63(1):49 View
  36. Al Ansari F, Alfayez A, Alsalman D, Alanezi F, Alhodaib H, Al-Rayes S, Aljabri D, Alrawiai S, Alakrawi Z, Saadah A, Al-Juwair M, Aljaffary A, AlThani B, Mushcab H, Alanzi T, AlNujaidi H, Al-Saif A, Attar R, Alumran A, Al-Mubarak S, Alyousef S. Using mobile health applications to enhance physical activity in Saudi Arabia: a cross-sectional study on users’ perceptions. International Health 2023;15(1):47 View
  37. Pan J, Dong H. mHealth Adoption Among Older Chinese Adults: A Conceptual Model With Design Suggestions. International Journal of Human–Computer Interaction 2023;39(5):1072 View
  38. Bizpinar O, Onder H. Investigation of the gait parameters after donepezil treatment in patients with alzheimer’ s disease. Applied Neuropsychology: Adult 2023:1 View
  39. Scanferla W, Oliveira C, Lousada M, Teixeira L. The Usability and Acceptability of the mHealth “Health and Voice” for Promoting Teachers' Vocal Health. Journal of Voice 2023 View
  40. Wong N, Ho L. E‐government and the hurdle of the “digital divide”? Rethinking the responses of the underprivileged in COVID‐19 Hong Kong. Asian Politics & Policy 2022;14(3):423 View
  41. Vieira W, Ostolin T, Simões M, Proença N, Dourado V. Profile of adults users of smartphone applications for monitoring the level of physical activity and associated factors: A cross-sectional study. Frontiers in Public Health 2022;10 View
  42. Kim E, Han S. Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model. International Journal of Environmental Research and Public Health 2021;18(19):10367 View
  43. Paradis S, Roussel J, Bosson J, Kern J. Use of Smartphone Health Apps Among Patients Aged 18 to 69 Years in Primary Care: Population-Based Cross-sectional Survey. JMIR Formative Research 2022;6(6):e34882 View
  44. Alaslawi H, Berrou I, Al Hamid A, Alhuwail D, Aslanpour Z. Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda. JMIR Diabetes 2022;7(3):e28153 View
  45. Onder H, Dinc E, Yucesan K, Comoglu S. The gait parameters in patients with Parkinson’s Disease under STN-DBS therapy and associated clinical features. Neurological Research 2023;45(8):779 View
  46. Han S, Zhong R. Perspectives of older adults, adult children and caregivers on internet of things home care technologies in China: a qualitative study. Educational Gerontology 2024:1 View
  47. Wong A, Bayuo J, Wong F, Chow K, Wong S, Wong B, Law K. Experiences of receiving an mHealth application with proactive nursing support among community-dwelling older adults: a mixed-methods study. BMC Nursing 2024;23(1) View

Books/Policy Documents

  1. Rossmann C, Jöckel S. Soziales Medienhandeln. View