{"title":"Wearable devices and physical activity disparities: Insights from the 2022 Health Information National Trends Survey","authors":"Minjung Lee , Garrett Ash , Soohyun Nam","doi":"10.1016/j.hlpt.2025.101017","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to investigate the association between wearable device use and physical activity, as well as to assess the mediating role of wearable device use in the relationship between social disparities and achievement of recommended level of physical activity.</div></div><div><h3>Methods</h3><div>Data from the 2022 Health Information National Trends Survey (HINTS 6) (<em>n</em> = 4922) were analyzed. Weighted prevalence estimates were presented, and adjusted odds ratios from multivariable logistic regression of wearable device use and meeting recommended levels of physical activity were reported. Causal mediation analysis (CMA) was conducted to examine the mediation effect of sociodemographic factors on physical activity via wearable devices.</div></div><div><h3>Results</h3><div>Among participants, 34.9 % used wearable devices, and 37.1 % achieved the recommended level of 150 min of weekly moderate-intensity physical activity. Wearable device users were 1.84 times more likely to achieve recommended physical activity goals than non-users. Significant mediation effects of wearable device use were found, mediating the association between female sex and higher education attainment with physical activity. Furthermore, among wearable users, Asians, and individuals with a body mass index ≥ 30 kg/m<sup>2</sup> were less likely to meet recommended levels of physical activity.</div></div><div><h3>Conclusions</h3><div>Wearable device use exhibit sociodemographic patterns, influencing physical activity and potentially exacerbating health disparities. Promoting equitable usage of wearables and enhancing skills in utilizing wearable devices can significantly enhance physical activity levels, playing a pivotal role in reducing health disparities and fostering overall well-being.</div></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"14 3","pages":"Article 101017"},"PeriodicalIF":3.4000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy and Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211883725000450","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
This study aimed to investigate the association between wearable device use and physical activity, as well as to assess the mediating role of wearable device use in the relationship between social disparities and achievement of recommended level of physical activity.
Methods
Data from the 2022 Health Information National Trends Survey (HINTS 6) (n = 4922) were analyzed. Weighted prevalence estimates were presented, and adjusted odds ratios from multivariable logistic regression of wearable device use and meeting recommended levels of physical activity were reported. Causal mediation analysis (CMA) was conducted to examine the mediation effect of sociodemographic factors on physical activity via wearable devices.
Results
Among participants, 34.9 % used wearable devices, and 37.1 % achieved the recommended level of 150 min of weekly moderate-intensity physical activity. Wearable device users were 1.84 times more likely to achieve recommended physical activity goals than non-users. Significant mediation effects of wearable device use were found, mediating the association between female sex and higher education attainment with physical activity. Furthermore, among wearable users, Asians, and individuals with a body mass index ≥ 30 kg/m2 were less likely to meet recommended levels of physical activity.
Conclusions
Wearable device use exhibit sociodemographic patterns, influencing physical activity and potentially exacerbating health disparities. Promoting equitable usage of wearables and enhancing skills in utilizing wearable devices can significantly enhance physical activity levels, playing a pivotal role in reducing health disparities and fostering overall well-being.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics