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

Wearable Devices and Sensors (1013) mHealth for Wellness, Behavior Change and Prevention (3119) Mobile Devices and Apps for Seniors and Healthy Aging (223)

Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11335, first published .
Impact of a Wearable Device-Based Walking Programs in Rural Older Adults on Physical Activity and Health Outcomes: Cohort Study

Impact of a Wearable Device-Based Walking Programs in Rural Older Adults on Physical Activity and Health Outcomes: Cohort Study

Impact of a Wearable Device-Based Walking Programs in Rural Older Adults on Physical Activity and Health Outcomes: Cohort Study

Authors of this article:

Il-Young Jang1 Author Orcid Image ;   Hae Reong Kim2 Author Orcid Image ;   Eunju Lee1 Author Orcid Image ;   Hee-Won Jung3 Author Orcid Image ;   Hyelim Park1, 4 Author Orcid Image ;   Seon-Hee Cheon4 Author Orcid Image ;   Young Soo Lee1 Author Orcid Image ;   Yu Rang Park2 Author Orcid Image
Article Authors Cited by (57) Tweetations (3) Metrics

Journals

  1. Ahn S, Zhiang J, Kim H, Chang S, Shin J, Kim M, Lee Y, Lee J, Park Y. Postvaccination Fever Response Rates in Children Derived Using the Fever Coach Mobile App: A Retrospective Observational Study. JMIR mHealth and uHealth 2019;7(4):e12223 View
  2. Pardamean B, Soeparno H, Budiarto A, Mahesworo B, Baurley J. Quantified Self-Using Consumer Wearable Device: Predicting Physical and Mental Health. Healthcare Informatics Research 2020;26(2):83 View
  3. Lee H, Park Y, Kim H, Kang N, Oh G, Jang I, Lee E. Discrepancies in Demand of Internet of Things Services Among Older People and People With Disabilities, Their Caregivers, and Health Care Providers: Face-to-Face Survey Study. Journal of Medical Internet Research 2020;22(4):e16614 View
  4. Li J, Hodgson N, Lyons M, Chen K, Yu F, Gooneratne N. A personalized behavioral intervention implementing mHealth technologies for older adults: A pilot feasibility study. Geriatric Nursing 2020;41(3):313 View
  5. Fang C, Zhang J, Zhou T, Li L, Lu Y, Gao Z, Quan M. Associations between Daily Step Counts and Physical Fitness in Preschool Children. Journal of Clinical Medicine 2020;9(1):163 View
  6. Hannan A, Harders M, Hing W, Climstein M, Coombes J, Furness J. Impact of wearable physical activity monitoring devices with exercise prescription or advice in the maintenance phase of cardiac rehabilitation: systematic review and meta-analysis. BMC Sports Science, Medicine and Rehabilitation 2019;11(1) View
  7. Yoon S, Jung H, Jung H, Kim K, Hong S, Roh H, Oh B. Development and Validation of 2D-LiDAR-Based Gait Analysis Instrument and Algorithm. Sensors 2021;21(2):414 View
  8. Collazo C, González Santos J, González Bernal J, Cubo E. Estado sobre la situación del uso y utilidades potenciales de las nuevas tecnologías para medir actividad física. Revisión sistemática de la literatura. Atención Primaria Práctica 2020;2(6):100064 View
  9. Ferreira J, Teixeira A, Serrano J, Farinha C, Santos H, Silva F, Cascante-Rusenhack M, Luís P. Impact of Aquatic-Based Physical Exercise Programs on Risk Markers of Cardiometabolic Diseases in Older People: A Study Protocol for Randomized-Controlled Trials. International Journal of Environmental Research and Public Health 2020;17(22):8678 View
  10. Choi M. Association of eHealth Use, Literacy, Informational Social Support, and Health-Promoting Behaviors: Mediation of Health Self-Efficacy. International Journal of Environmental Research and Public Health 2020;17(21):7890 View
  11. Jo T, Ma J, Cha S. Elderly Perception on the Internet of Things-Based Integrated Smart-Home System. Sensors 2021;21(4):1284 View
  12. Cruz A, Monsalve L, Ladurner A, Jaime L, Wang D, Quiroga D. Information and Communication Technologies for Managing Frailty: A Systematic Literature Review. Aging and disease 2021;12(3):914 View
  13. Jourdan T, Debs N, Frindel C. The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review. Sensors 2021;21(14):4808 View
  14. Lucerón-Lucas-Torres M, Valera-Ortín J. TIC en actividad física y parámetros cardiovasculares en mayores: una revisión. Enfermería Clínica 2022;32(3):171 View
  15. Montayre J, Foster J, Zhao I, Kong A, Leung A, Molassiotis A, Officer A, Mikton C, Neville S. Age‐friendly interventions in rural and remote areas: A scoping review. Australasian Journal on Ageing 2022;41(4):490 View
  16. Zager Kocjan G, Špes T, Svetina M, Plohl N, Smrke U, Mlakar I, Musil B. Assistive digital technology to promote quality of life and independent living for older adults through improved self-regulation: a scoping review. Behaviour & Information Technology 2023;42(16):2832 View
  17. Hannan A, Hing W, Coombes J, Gough S, Climstein M, Adsett G, Jayasinghe R, Furness J. Effect of personal activity intelligence (PAI) monitoring in the maintenance phase of cardiac rehabilitation: a mixed methods evaluation. BMC Sports Science, Medicine and Rehabilitation 2021;13(1) View
  18. Choi M. Factors associated with eHealth use among community dwelling older adults. International Journal of Nursing Practice 2022;28(6) View
  19. Tan R, Goh E, Wang D, Chan R, Zeng Z, Yeo A, Pek K, Kua J, Wong W, Shen Z, Lim W. Effectiveness and usability of the system for assessment and intervention of frailty for community-dwelling pre-frail older adults: A pilot study. Frontiers in Medicine 2022;9 View
  20. Chandrasekaran R, Katthula V, Moustakas E. Too old for technology? Use of wearable healthcare devices by older adults and their willingness to share health data with providers. Health Informatics Journal 2021;27(4) View
  21. Lazarus G, Soejono C. Unsupervised Home-based Exercise for Rural Frail Elderly: An Evidence-based Case-report. Activities, Adaptation & Aging 2022;46(3):218 View
  22. Ginossar T, Rishel Brakey H, Sussman A, Price B, Kano M, Davis S, Blair C. “You’re Going to Have to Think a Little Bit Different” Barriers and Facilitators to Using mHealth to Increase Physical Activity among Older, Rural Cancer Survivors. International Journal of Environmental Research and Public Health 2021;18(17):8929 View
  23. Chou J, Chang T, Liu X, Wu T, Chen Y, Hsu Y, Chen C, Liu T, Shih C. CIM-Based Smart Pose Detection Sensors. Sensors 2022;22(9):3491 View
  24. Baek J, Na S, Lee H, Jung H, Lee E, Jo M, Park Y, Jang I. Implementation of an integrated home internet of things system for vulnerable older adults using a frailty-centered approach. Scientific Reports 2022;12(1) View
  25. Baek J, Lee E, Oh G, Park Y, Lee H, Lim J, Park H, Park C, Lee C, Jung H, Jang I, Kim D. The Aging Study of Pyeongchang Rural Area (ASPRA): Findings and Perspectives for Human Aging, Frailty, and Disability. Annals of Geriatric Medicine and Research 2021;25(3):160 View
  26. Yu S, Chen Z, Wu X. The Impact of Wearable Devices on Physical Activity for Chronic Disease Patients: Findings from the 2019 Health Information National Trends Survey. International Journal of Environmental Research and Public Health 2023;20(1):887 View
  27. Fien S, Linton C, Mitchell J, Wadsworth D, Szabo H, Askew C, Schaumberg M. Characteristics of community-based exercise programs for community-dwelling older adults in rural/regional areas: a scoping review. Aging Clinical and Experimental Research 2022;34(7):1511 View
  28. Dagher L, Nedunchezhian S, El Hajjar A, Zhang Y, Deffer O, Russell A, Pottle C, Marrouche N. A cardiovascular clinic patients’ survey to assess challenges and opportunities of digital health adoption during the COVID-19 pandemic. Cardiovascular Digital Health Journal 2022;3(1):31 View
  29. Vargemidis D, Gerling K, Abeele V, Geurts L, Spiel K. Irrelevant Gadgets or a Source of Worry. ACM Transactions on Accessible Computing 2021;14(3):1 View
  30. Zhou S, Li K, Ogihara A, Wang X. Perceptions of traditional Chinese medicine doctors about using wearable devices and traditional Chinese medicine diagnostic instruments: A mixed-methodology study. DIGITAL HEALTH 2022;8:205520762211022 View
  31. Kim H, Lee K, Lee J, Youk H, Lee H. The Effect of a Mobile and Wearable Device Intervention on Increased Physical Activity to Prevent Metabolic Syndrome: Observational Study. JMIR mHealth and uHealth 2022;10(2):e34059 View
  32. Lorusso L, Mosmondor M, Grguric A, Toccafondi L, D’Onofrio G, Russo S, Lampe J, Pihl T, Mayer N, Vignani G, Lesterpt I, Vaamonde L, Giuliani F, Bonaccorsi M, La Viola C, Rovini E, Cavallo F, Fiorini L. Design and Evaluation of Personalized Services to Foster Active Aging: The Experience of Technology Pre-Validation in Italian Pilots. Sensors 2023;23(2):797 View
  33. Lucerón-Lucas-Torres M, Valera-Ortín J. Health technology tools used to increase physical activity and improve cardiovascular parameters in older adults: A review. Enfermería Clínica (English Edition) 2022;32(3):171 View
  34. Edney S, Chua X, Müller A, Kui K, Müller‐Riemenschneider F. mHealth interventions targeting movement behaviors in Asia: A scoping review. Obesity Reviews 2022;23(4) View
  35. Warner A, Vanicek N, Benson A, Myers T, Abt G, Murias J. Agreement and relationship between measures of absolute and relative intensity during walking: A systematic review with meta-regression. PLOS ONE 2022;17(11):e0277031 View
  36. Keene Woods N, Ali U, Medina M, Reyes J, Chesser A. Health Literacy, Health Outcomes and Equity: A Trend Analysis Based on a Population Survey. Journal of Primary Care & Community Health 2023;14 View
  37. De Santis K, Mergenthal L, Christianson L, Busskamp A, Vonstein C, Zeeb H. Digital Technologies for Health Promotion and Disease Prevention in Older People: Scoping Review. Journal of Medical Internet Research 2023;25:e43542 View
  38. Kwon S, Shin O, Hernandez R. Preliminary efficacy of a technology-based physical activity intervention for older Korean adults during the COVID-19 pandemic. Educational Gerontology 2024;50(1):27 View
  39. Onyekwere A, Okobi O, Ifiora F, Akinboro M, Akueme N, Iroro J, Dan-Eleberi A, Onyeaka F, Ghansah A. Association Between Wearable Device Use and Levels of Physical Activity Among Older Adults in the US: Evidence From the 2019-2020 Health Information National Trends Survey. Cureus 2023 View
  40. Chen J, Chen D, Jiang H, Miao X, Yin C. Skeleton-based 3D human pose estimation with low-resolution infrared array sensor using attention based CNN-BiGRU. International Journal of Machine Learning and Cybernetics 2024;15(5):2049 View
  41. Tong K, Attenborough K, Sharp D, Taherzadeh S, Deepak-Gopinath M, Vseteckova J. Acceptability of Remote Monitoring in Assisted Living/Smart Homes in the United Kingdom and Associated Use of Sounds and Vibrations—A Systematic Review. Applied Sciences 2024;14(2):843 View
  42. Tóth K, Takács P, Balatoni I. Users’ Expectations of Smart Devices during Physical Activity—A Literature Review. Applied Sciences 2024;14(8):3518 View
  43. Zhang Y, Ma Y, Liang C. Understanding older adults’ continuance intention toward wearable health technologies: an empowerment perspective. Behaviour & Information Technology 2025;44(6):1277 View
  44. Tanimura C, Oba K, Noguchi Y, Itamochi T. A Concept Analysis of Self-Management of Physical Frailty. Yonago Acta Medica 2024;67(2):80 View
  45. Wong A, Bayuo J, Su J, Chow K, Wong S, Wong B, Lee A, Wong F. Exploring the Experiences of Community-Dwelling Older Adults on Using Wearable Monitoring Devices With Regular Support From Community Health Workers, Nurses, and Social Workers: Qualitative Descriptive Study. Journal of Medical Internet Research 2024;26:e49403 View
  46. Lai P, Zhang J, Lai Q, Li J, Liang Z. Impact of Wearable Device-Based Walking Programs on Gait Speed in Older Adults: A Systematic Review and Meta-Analysis. Geriatric Orthopaedic Surgery & Rehabilitation 2024;15 View
  47. Gettel C, Chen K, Goldberg E. Dementia Care, Fall Detection, and Ambient-Assisted Living Technologies Help Older Adults Age in Place: A Scoping Review. Journal of Applied Gerontology 2021;40(12):1893 View
  48. Ming Y, Li Y, Liu Y. Digital technologies as solutions to China’s aging population: a systematic review of their opportunities and challenges in rural development. Frontiers in Public Health 2025;12 View
  49. Heffernan M, Mittal R, Tafuto B. Implications of Mobile Technology on Hospitalization Rates in Medically Underserved Areas Worldwide: A Systematic Review. Cureus 2025 View
  50. Dodds L, Deckers K, Harris C, Siette J. Behaviour change techniques used in interventions targeting dementia risk factors amongst older adults in rural and remote areas: A systematic review and meta-analysis. The Journal of Prevention of Alzheimer's Disease 2025;12(4):100093 View
  51. Zhang Y, Xi N, Liang C, Ma Y, Hong W, Wang X, Hamari J. Gamification for elderly well-being: Effects on experience and engagement. Technological Forecasting and Social Change 2025;217:124155 View
  52. Ullah R, Asghar I, Akbar S, Evans G, Vermaak J, Alblwi A, Bamaqa A. Vision-Based Activity Recognition for Unobtrusive Monitoring of the Elderly in Care Settings. Technologies 2025;13(5):184 View
  53. Yagi E, Matsumura K, Uchigashima Y, Shiroyama J, Hase M, Nanba T, Yamada N, Funauchi Y, Ueno M, Togi K, Shirotani M, Nakazawa G. Integration of Wearables Into a Cardiac Rehabilitation Program and Its Impact on Physical Activity and Exercise Capacity in Older Patients With Cardiovascular Disease. Advances in Rehabilitation Science and Practice 2025;14 View

Books/Policy Documents

  1. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  2. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  3. Ulmer T, Baldauf M. Human-Computer Interaction. User Experience and Behavior. View

Conference Proceedings

  1. Shih C, Wang Y, Chou J. 2020 IEEE Second Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML). Multiple-Image Super-Resolution for Networked Extremely Low-Resolution Thermal Sensor Array View