Evidence map›Paper›PMID 37685407›Full record

ArticleHealthcare (Basel, Switzerland)2023

Trust Is for the Strong: How Health Status May Influence Generalized and Personalized Trust.

Quan-Hoang Vuong, Phuong-Loan Nguyen, Ruining Jin, Minh-Hoang Nguyen, Tam-Tri Le

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Quan-Hoang VuongCentre for Interdisciplinary Social Research, Phenikaa University, Hanoi 100803, Vietnam.ORCID 0000-0003-0790-1576
Phuong-Loan NguyenSpanish Department, Hanoi University, Hanoi 100000, Vietnam.ORCID 0000-0003-0668-7459
Ruining JinCivil, Commercial and Economic Law School, China University of Political Science and Law, Beijing 100088, China.ORCID 0000-0002-8542-7614
Minh-Hoang NguyenCentre for Interdisciplinary Social Research, Phenikaa University, Hanoi 100803, Vietnam.
Tam-Tri LeCentre for Interdisciplinary Social Research, Phenikaa University, Hanoi 100803, Vietnam.ORCID 0000-0003-3384-4827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the trust-health relationship, how trusting other people in society may promote good health is a topic often examined. However, the other direction of influence-how health may affect trust-has not been well explored. In order to investigate this possible effect, we employed the Bayesian Mindsponge Framework (BMF) analytics to go deeper into the information processing mechanisms underlying the expressions of trust. Conducting a Bayesian analysis on a dataset of 1237 residents from Cali, Colombia, we found that general health status is positively associated with generalized trust, but recent experiences of illnesses/injuries have a negative moderating effect. Personalized trust is largely unchanged across different general health conditions, but the trust level becomes higher with recent experiences of illnesses/injuries. Psychophysiological mechanisms of increasing information filtering intensity toward unfamiliar sources during a vulnerable state of health is a plausible explanation of found patterns in generalized trust. Because established personal relationships are reinforced information channels, personalized trust is not affected as much. Rather, the results suggest that people may rely even more on loved ones when they are in bad health conditions. This exploratory study shows that the trust-health relationship can be examined from a different angle that may provide new insights.

Indexed as

Bayesian Mindsponge Frameworkgeneralized trusthealth conditioninformation processingpersonalized trust

Identifiers

PMID37685407
PMCPMC10486567

What OpenQuestion holds

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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.