Wearable Use in an Observational Study Among Older Adults: Adherence, Feasibility, and Effects of Clinicodemographic Factors
- PMID:35754462
- PMCID: PMC9231611
- DOI: 10.3389/fdgth.2022.884208
Wearable Use in an Observational Study Among Older Adults: Adherence, Feasibility, and Effects of Clinicodemographic Factors
Abstract
Introduction: Wearables have great potential to improve monitoring and delivery of physical activity interventions to older adults with downstream benefits to multisystem health and longevity; however, benefits obtained from wearables depend on their uptake and usage. Few studies have examined person-specific factors that relate to wearable adherence. We characterized adherence to using a wearable activity tracker for 30 days and examined associations between adherence and demographics, cognitive functioning, brain volumes, and technology familiarity among community-dwelling older adults.
Methods: Participants were 175 older adults enrolled in the UCSF Longitudinal Brain Aging Study who were asked to wear a FitbitTM Flex 2 during waking hours for 30 days. Sixty two of these participants were also asked to sync their devices to the Fitbit smartphone app daily to collect minute-level data. We calculated adherence to wearing the Fitbit daily (i.e., proportion of days with valid activity data) and adherence to daily device syncing (i.e., proportion of days with minute-level activity data). Participants also completed a brain MRI and in-person cognitive testing measuring memory, executive functioning, and processing speed. Spearman correlations, Wilcoxon rank sum tests, and logistic regression tested relationships between wearable adherence and clinicodemographic factors.
Results: Participants wore the Fitbits for an average of 95% of study days and were 85% adherent to the daily syncing protocol. Greater adherence to wearing the device was related to female sex. Greater adherence to daily device syncing was related to better memory, independent of demographic factors. Wearable adherence was not significantly related to age, education, executive functioning, processing speed, brain gray matter volumes, or self-reported familiarity with technology. Participants reported little-to-no difficulty using the wearable and all reported willingness to participate in another wearable study in the future.
Conclusions: Older adults have overall high adherence to wearable use in the current study protocol. Person-specific factors, however, may represent potential barriers to equitable uptake of wearables for physical activity among older adults, including demographics and cognitive functioning. Future studies and clinical providers utilizing wearable activity trackers with older adults may benefit from implementation of reminders (e.g., texts, calls) for device use, particularly among men and individuals with memory impairment.
Keywords: Fitbit; aging; digital health; memory; physical activity; wearable adherence.
Copyright © 2022 Paolillo, Lee, VandeBunte, Djukic, Fonseca, Kramer and Casaletto.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor RM declared a past collaboration with the EP.
Figures
Similar articles
- Fitbit Usage in Patients With Breast Cancer Undergoing Chemotherapy.Dreher N, Hadeler EK, Hartman SJ, Wong EC, Acerbi I, Rugo HS, Majure MC, Chien AJ, Esserman LJ, Melisko ME.Dreher N, et al.Clin Breast Cancer. 2019 Dec;19(6):443-449.e1. doi: 10.1016/j.clbc.2019.05.005. Epub 2019 May 25.Clin Breast Cancer. 2019.PMID:31285177
- Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study.Ridgers ND, Timperio A, Brown H, Ball K, Macfarlane S, Lai SK, Richards K, Mackintosh KA, McNarry MA, Foster M, Salmon J.Ridgers ND, et al.JMIR Mhealth Uhealth. 2018 Apr 11;6(4):e86. doi: 10.2196/mhealth.9199.JMIR Mhealth Uhealth. 2018.PMID:29643054Free PMC article.
- Acceptability and Effects of Commercially Available Activity Trackers for Chronic Pain Management Among Older African American Adults.Janevic MR, Shute V, Murphy SL, Piette JD.Janevic MR, et al.Pain Med. 2020 Feb 1;21(2):e68-e78. doi: 10.1093/pm/pnz215.Pain Med. 2020.PMID:31509196Free PMC article.Clinical Trial.
- Reporting adherence, validity and physical activity measures of wearable activity trackers in medical research: A systematic review.Chan A, Chan D, Lee H, Ng CC, Yeo AHL.Chan A, et al.Int J Med Inform. 2022 Apr;160:104696. doi: 10.1016/j.ijmedinf.2022.104696. Epub 2022 Jan 31.Int J Med Inform. 2022.PMID:35121356Review.
- The validity and reliability of consumer-grade activity trackers in older, community-dwelling adults: A systematic review.Straiton N, Alharbi M, Bauman A, Neubeck L, Gullick J, Bhindi R, Gallagher R.Straiton N, et al.Maturitas. 2018 Jun;112:85-93. doi: 10.1016/j.maturitas.2018.03.016. Epub 2018 Mar 30.Maturitas. 2018.PMID:29704922Review.
Cited by
- Moderating role of physical activity on hippocampal iron deposition and memory outcomes in typically aging older adults.Lee SY, Paolillo EW, Saloner R, Cobigo Y, Diaz VE, Gontrum EQ, VandeBunte A, Chatterjee A, Tucker M, Kramer JH, Casaletto KB.Lee SY, et al.Neurobiol Aging. 2023 Nov;131:124-131. doi: 10.1016/j.neurobiolaging.2023.07.026. Epub 2023 Jul 29.Neurobiol Aging. 2023.PMID:37633118Free PMC article.
- Digital health for aging populations.Chen C, Ding S, Wang J.Chen C, et al.Nat Med. 2023 Jul;29(7):1623-1630. doi: 10.1038/s41591-023-02391-8. Epub 2023 Jul 18.Nat Med. 2023.PMID:37464029Review.
- EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors.Seifer AK, Dorschky E, Küderle A, Moradi H, Hannemann R, Eskofier BM.Seifer AK, et al.Sensors (Basel). 2023 Jul 20;23(14):6565. doi: 10.3390/s23146565.Sensors (Basel). 2023.PMID:37514858Free PMC article.
- Assessment of Wearable Device Adherence for Monitoring Physical Activity in Older Adults: Pilot Cohort Study.Ding H, Ho K, Searls E, Low S, Li Z, Rahman S, Madan S, Igwe A, Popp Z, Burk A, Wu H, Ding Y, Hwang PH, Anda-Duran I, Kolachalama VB, Gifford KA, Shih LC, Au R, Lin H.Ding H, et al.JMIR Aging. 2024 Oct 25;7:e60209. doi: 10.2196/60209.JMIR Aging. 2024.PMID:39454101Free PMC article.
- Wrist-worn actigraphy in agitated late-stage dementia patients: A feasibility study on digital inclusion.Guu TW, Brem AK, Albertyn CP, Kandangwa P, Aarsland D, Ffytche D.Guu TW, et al.Alzheimers Dement. 2024 May;20(5):3211-3218. doi: 10.1002/alz.13772. Epub 2024 Mar 18.Alzheimers Dement. 2024.PMID:38497216Free PMC article.
References
- United Nations Department of Economic and Social Affairs . World Population Ageing 2019. (ST/ESA/SER.A/444). (2020).
- Onder G, Palmer K, Navickas R, Jureviciene E, Mammarella F, Strandzheva M, et al. . Time to face the challenge of multimorbidity. A European perspective from the joint action on chronic diseases and promoting healthy ageing across the life cycle (JA-CHRODIS). Eur J Intern Med. (2015) 26:157–9. 10.1016/j.ejim.2015.02.020 - DOI - PubMed