Evidence map›Paper›PMID 39021942›Full record

ArticleHeliyon2024

Somatized or stigma? Causal attributions and emotional responses in shaping social distance towards people with mental illness, China.

Xiangming Zeng

Abstract read
In one paragraph

Article in Heliyon, 2024. 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
  2. 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

1 author.

Xiangming ZengDepartment of Public Management, Law School, Wenzhou University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental illness in China has traditionally been attributed to physical factors and somatization tendencies, which seldom result in stigma. How has this perception changed after decades of social change? Methods: Based on the Chinese General Social Survey database in 2011, this study constructed a structural equation model to analyze the effects of causal attribution and emotional responses on social distance. The causal attributions include dangerousness, controllability, and responsibility. And the emotional responses encompass negative affect, traditional prejudice, treatment carryover, and exclusionary sentiments. In addition, higher scores indicating greater social distance, whereas a low score reflected stronger emotional responses or a greater degree of internal attribution. Results: The results reported a high level of social distance towards people with mental illness. These findings indicated that emotional responses have a direct impact on social distance. Specifically, when negative affect, traditional prejudice, and exclusionary sentiments increase by one standard deviation, the social distance decreases by 0.497, 0.178, and 0.073 standard deviation, respectively. Conversely, as the level of treatment carryover rises, social distance increases by 0.087. Meanwhile, the causal attribution only exerts a significant indirect effect on social distance by the function of emotional causal responses. Conclusion: The results indicated that the public attributes mental illnesses like depression primarily to psychological issues rather than somatic ones. It suggested widespread stereotypes and public stigma towards people with mental illness in China, as well as an arduous task in anti-stigma. In addition, a targeted way to address public stigma lies in changing the stereotype of people with mental illness.

Indexed as

Causal attributionEmotional responsesMental illnessPublic stigmaSocial distance

Identifiers

PMID39021942
PMCPMC11252714

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.