Evidence map›Paper›PMID 39807427›Full record

ArticleDigital health

How does mHealth benefit older Chinese adults' quality of life? Examining the roles of eHealth literacy, health motivation, and patient activation.

Sha Sarah Qiu, Jizhou Francis Ye, Fei You, Muhan Liu, 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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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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

5 authors.

Sha Sarah QiuDepartment of Communication, University of Macau, Macau, China.ORCID https://orcid.org/0009-0007-3469-9429
Jizhou Francis YeDepartment of Communication, University of Oklahoma, Norman, OK, USA.ORCID https://orcid.org/0000-0002-3226-4487
Fei YouDepartment of Communication, University of Macau, Macau, China.
Muhan LiuDepartment of Communication, University of Macau, Macau, China.
Xinshu ZhaoDepartment of Communication, Institute of Collaborative Innovation, 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: China is experiencing a rapid increase in its aging population, leading to the emergence of significant challenges to improve the quality of life (QoL) of older adults. The study aims to explore the potential benefits of using mobile health technology in improving the QoL for older Chinese adults. Method: This study utilized a subsample of adults aged 60 and above from a cross-sectional, population-based national survey conducted among Chinese adults (N = 852). A moderated mediation analysis was conducted to investigate the impact of mHealth use on older Chinese adults' QoL, focusing on the mediating roles of eHealth literacy and patient activation and the moderating effect of motivation for health promotion and prevention. Result: The results indicate that mHealth use directly enhances the QoL of older Chinese adults (β = .061, Conclusion: These results demonstrate the positive impact of mHealth use on the QoL of older Chinese adults and reveal the underlying mechanisms involving mental and physical factors. These findings underscore the significance of increased attention to promoting mHealth use among older Chinese adults and provide a new way to enhance eHealth literacy and patient activation by encouraging the adoption of mHealth products.

Indexed as

eHealth literacymHealth usemotivation for health promotion and preventionOlder Chinese adultspatient activationquality of life

Identifiers

PMID39807427
PMCPMC11726531

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.