Evidence map›Paper›PMID 41426502›Full record

ArticleHealth policy and technology2025

Wearable devices and physical activity disparities: Insights from the 2022 Health Information National Trends Survey.

Minjung Lee, Garrett Ash, Soohyun Nam

Abstract read
In one paragraph

Article in Health policy and technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Minjung LeeSchool of Nursing, Yale University, West Haven, CT, United States.ORCID 0000-0002-0479-6523
Garrett AshSection of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States.ORCID 0000-0002-8655-7525
Soohyun NamSchool of Nursing, Yale University, West Haven, CT, United States.ORCID 0000-0002-8951-5419

Funding

Personal and social-built environmental factors of glucose variability among multi ethnic groups of adults with type 2 diabetesR01DK132069 · NIDDK · YALE UNIVERSITY · PI NAM, SOOHYUN · 2022 to 2025
$2.6M
NIDDK NIH HHS R01 DK132069
6 · The paper itself

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) ( 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/m 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.

Indexed as

Digital divideHealth disparitiesPhysical activitySurveyWearable device

Identifiers

PMID41426502
PMCPMC12716867

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.