Evidence map›Paper›PMID 39950081›Full record

ArticleFrontiers in psychology2025

Effect of the Big Five Personality on the intention to use mHealth applications among the Chinese elderly: a national-based study.

Jinghui Chang, Anqi Li, Xixi Yang, Chunnan Li, Yanshan Mai, Dayi Zhang, Wende Yan, Yibo Wu, Jiangyun Chen

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Jinghui Chang *School of Health Management, Southern Medical University, Guangzhou, China.
Anqi Li *School of Health Management, Southern Medical University, Guangzhou, China.
Xixi YangSchool of Health Management, Southern Medical University, Guangzhou, China.
Chunnan LiSchool of Health Management, Southern Medical University, Guangzhou, China.
Yanshan MaiSchool of Public Health, Southern Medical University, Guangzhou, China.
Dayi ZhangSchool of Public Health, Southern Medical University, Guangzhou, China.
Wende YanSchool of Public Health, Southern Medical University, Guangzhou, China.
Yibo WuSchool of Public Health, Peking University, Beijing, China.
Jiangyun ChenSchool of Health Management, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile health applications may provide potential tools to support healthy aging. Promoting mHealth use by the elderly remains an imperative to realize health improvement. Objective: The research aimed to identify the relationship between personality traits and the intention to use mHealth applications among the elderly in mainland China. Methods: Using a multi-stage sampling method, a cross-sectional survey of 3,712 older adults across China was obtained out of 3,721 (validity rate was 99.76%) in 2022. The effect of personality on the intention to use mHealth applications among older adults was analyzed by multiple linear regression. The independent variable was the personality, using the short version of the Big Five Personality Inventory (BFI-10). The dependent variable was the intention to use the mHealth applications, measured using a sliding scale. Moderators included demographic characteristics and psycho-social variables measured by the Perceived Social Support Scale, the Family Health Scale, and the Health Literacy Scale. Results: The Chinese older adults' intention to use mHealth applications scored (63.31 ± 25.09). Out of the five traits, extraversion, agreeableness, and openness exerted significant effects. Higher scores of extraversion ( Conclusion: The elderly with high extraversion, openness, and low agreeableness are more willing to adopt mHealth applications in China. Healthcare professionals and mHealth device developers can make personalized and accurate interventions for the elderly with different personalities.

Indexed as

a cross-sectional studyBig Five Personalityinfluencing factormobile consumer behaviormobile health (mHealth)

Identifiers

PMID39950081
PMCPMC11821963

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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.