Published on 05.04.19 in Vol 7, No 4 (2019): April
Works citing "The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9832):
(note that this is only a small subset of citations)
- Silveira SL, Baird JF, Motl RW. Rates, patterns, and correlates of fitness tracker use among older adults with multiple sclerosis. Disability and Health Journal 2020;:100966CrossRef
- Degroote L, Hamerlinck G, Poels K, Maher C, Crombez G, De Bourdeaudhuij I, Vandendriessche A, Curtis RG, DeSmet A. Low-Cost Consumer-Based Trackers to Measure Physical Activity and Sleep Duration Among Adults in Free-Living Conditions: Validation Study. JMIR mHealth and uHealth 2020;8(5):e16674CrossRef
- Lewis ZH, Pritting L, Picazo A, JeanMarie-Tucker M. The utility of wearable fitness trackers and implications for increased engagement: An exploratory, mixed methods observational study. DIGITAL HEALTH 2020;6:205520761990005CrossRef
- Lortz J, Simanovski J, Kuether T, Kreitschmann-Andermahr I, Ullrich G, Steinmetz M, Rammos C, Jánosi RA, Moebus S, Rassaf T, Paldán K. Needs and Requirements in the Designing of Mobile Interventions for Patients With Peripheral Arterial Disease: Questionnaire Study. JMIR Formative Research 2020;4(8):e15669CrossRef
- Liu JY, Kor PP, Chan CP, Kwan RY, Sze-Ki D. The effectiveness of a wearable activity tracker (WAT)-based intervention to improve physical activity levels in sedentary older adults: A systematic review and meta-analysis. Archives of Gerontology and Geriatrics 2020;91:104211CrossRef
- Brickwood K, Williams AD, Watson G, O’Brien J. Older adults’ experiences of using a wearable activity tracker with health professional feedback over a 12-month randomised controlled trial. DIGITAL HEALTH 2020;6:205520762092167CrossRef
- Viriyavit W, Sornlertlamvanich V. Bed Position Classification by a Neural Network and Bayesian Network Using Noninvasive Sensors for Fall Prevention. Journal of Sensors 2020;2020:1CrossRef
- Attig C, Franke T. Abandonment of personal quantification: A review and empirical study investigating reasons for wearable activity tracking attrition. Computers in Human Behavior 2020;102:223CrossRef
- Li L, Peng W, Kononova A, Bowen M, Cotten SR. Factors Associated with Older Adults' Long-Term Use of Wearable Activity Trackers. Telemedicine and e-Health 2020;26(6):769CrossRef
- Seifert A, Cotten SR. In care and digitally savvy? Modern ICT use in long-term care institutions. Educational Gerontology 2020;46(8):473CrossRef
- Kim S. The Comparison of Older and Younger Adults' Attitudes Towards the Adoption and Use of Activity Trackers: A Theoretical Model (Preprint). JMIR mHealth and uHealth 2020;CrossRef
- Chapie A, Arena S. Benefits and Barriers of Activity Trackers Among Older Adults. Home Healthcare Now 2020;38(3):165CrossRef
- Steinmetz M, Rammos C, Rassaf T, Lortz J. Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease. IJC Heart & Vasculature 2020;26:100470CrossRef
- Rezvani F, Heider D, Härter M, König H, Bienert F, Brinkmann J, Herbarth L, Kramer E, Steinisch P, Freudenstein F, Terhalle R, Grosse Y, Bock S, Posselt J, Beutel C, Reif F, Kirchhoff F, Neuschwander C, Löffler F, Brunner L, Dickmeis P, Heidenthal T, Schmitz L, Chase DP, Seelenmeyer C, Alscher MD, Tegtbur U, Dirmaier J. Telephone health coaching with exercise monitoring using wearable activity trackers (TeGeCoach) for improving walking impairment in peripheral artery disease: study protocol for a randomised controlled trial and economic evaluation. BMJ Open 2020;10(6):e032146CrossRef
- Maskeliūnas R, Damaševičius R, Segal S. A Review of Internet of Things Technologies for Ambient Assisted Living Environments. Future Internet 2019;11(12):259CrossRef
- Ding EY, Ensom E, Hafer N, Buchholz B, Picard MA, Dunlap D, Rogers E, Lawton C, Koren A, Lilly C, Fitzgibbons TP, McManus DD. Point-of-care technologies in heart, lung, blood and sleep disorders from the Center for Advancing Point-of-Care Technologies. Current Opinion in Biomedical Engineering 2019;11:58CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.9832)
:- Kari T, Sell A, Makkonen M, Wallin S, Walden P, Carlsson C, Frank L, Carlsson J. Human Aspects of IT for the Aged Population. Healthy and Active Aging. 2020. Chapter 23:310CrossRef