Evidence map›Paper›PMID 42510310›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Social Trust Profile Transitions and Health-Seeking Behavior: A Latent Transition Analysis of Three-Wave Panel Data from China.

Yuhan Wu, Shihan Xu, Lu Li

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuhan WuSchool of Health Management, Guangzhou Medical University, Guangzhou 511436, China.
Shihan XuSchool of Health Management, Guangzhou Medical University, Guangzhou 511436, China.
Lu LiSchool of Health Management, Guangzhou Medical University, Guangzhou 511436, China.

Funding

Department of Education of Guangdong Province 2022WQNCX056Guangzhou Municipal Science and Technology Bureau 2024A04J5155
6 · The paper itself

Abstract

Social trust is increasingly recognized as a psychosocial determinant of health service utilization, yet most studies treat trust as a unidimensional, static variable. This study examines how multidimensional trust configurations evolve over time and whether distinct profiles are associated with subsequent health-seeking behavior. Data were drawn from three waves (2018, 2020, 2022) of the China Family Panel Studies (N = 12,216). Latent profile analysis identified trust configurations based on four indicators (trust in neighbors, strangers, government officials, and doctors), and a three-wave latent transition analysis with partial measurement invariance modeled profile stability and change. Time-lagged logistic regressions and stayer-mover analyses examined associations with care-seeking. Three profiles emerged: Low Trust (31%), Higher Generalized Trust (36-42%), and Selective Institutional Trust (27-33%). All profiles showed moderate-to-high stability. Selective Institutional Trust was consistently associated with higher odds of care-seeking at the subsequent wave (adjusted OR = 1.30-1.35,

Indexed as

health-seeking behaviorlatent transition analysislongitudinal panel datasocial trust

Identifiers

PMID42510310
PMCPMC13403937

What OpenQuestion holds

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LicenceCC BY
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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.