Evidence map›Paper›PMID 42153140›Full record

ArticleDigital health

Willing or reluctant to share health data? A moderated mediation analysis of wearable device usage and data-sharing intentions among older adults.

Luxi Zhang, Qingqing Xie, Sha Qiu, Muhan Liu, Fei You, Xinshu Zhao

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

6 authors.

Luxi ZhangDepartment of Communication, University of Macau, Macau, China.ORCID https://orcid.org/0000-0001-8895-3006
Qingqing XieDepartment of Communication, University of Macau, Macau, China.ORCID https://orcid.org/0000-0002-7497-0339
Sha QiuDepartment of Communication, University of Macau, Macau, China.ORCID https://orcid.org/0009-0007-3469-9429
Muhan LiuDepartment of Communication, University of Macau, Macau, China.
Fei YouDepartment of Communication, University of Macau, Macau, China.
Xinshu ZhaoDepartment of Communication / Institute of Collaborative Research / Center for Research in Greater Bay Area, University of Macau, Macau, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health has the potential to enhance health communication efficiency. However, this potential remains underappreciated among older population due to prevalent technological challenges. The introduction of wearable devices may constitute a positive intervention to alleviate these technological concerns and improve health communication. This study aims to investigate the association between wearable device usage and health tracking data sharing intention among older adults, with digital technology self-efficacy serving as a mediator. Methods: This study used cross-sectional secondary data from the Health Information National Trends Survey (HINTS 5 Cycle 4), conducted between February and June 2020. The sample included older adults aged 60 or older ( Results: The results indicate that wearable device usage, when mediated by digital technology self-efficacy, has both direct and indirect positive effect on health tracking data sharing intention ( Conclusion: This study provides empirical evidence that wearable devices play an important role in improving digital technology self-efficacy and ultimately contribute to health tracking data sharing among older adults. Understanding these relationships can encourage wearable device adoption and improve health communication and well-being among the older population in the era of digital health.

Indexed as

digital healthhealth tracking data sharingOlder adultsself-efficacysocial supportwearable device usage

Identifiers

PMID42153140
PMCPMC13180130

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.