Evidence map›Paper›PMID 39543772›Full record

ArticleBMC psychology2024

Religious beliefs and social class identification: micro evidence from China.

Jianyi Jiao, Fan Chen, Suwei Gao, Wenxing Hu

Abstract read
In one paragraph

Article in BMC psychology, 2024. 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

4 authors.

Jianyi JiaoChina Rural Policy and Practice Research Institute, Ningbo University, Ningbo, China.
Fan ChenChina Rural Policy and Practice Research Institute, Ningbo University, Ningbo, China. chenfan@nbu.edu.cn.ORCID https://orcid.org/0009-0001-5421-3971
Suwei GaoChina Rural Policy and Practice Research Institute, Ningbo University, Ningbo, China.
Wenxing HuChina Rural Policy and Practice Research Institute, Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResidents' sense of social class identity is of great significance for enhancing self-happiness and maintaining social stability. As a spiritual force, religious beliefs can significantly influence residents' subjective perceptions.

methodsBased on this, using data from the 2021 Chinese General Social Survey (CGSS 2021), this paper explores the impact of religious beliefs on residents' sense of social class identity through the probit model and Ordinary Least Squares (OLS) method, and analyzes potential mechanisms.

resultsThe baseline regression results indicate that religious beliefs significantly enhance residents' sense of social class identity(p < 0.05), a conclusion that holds true even after rigorous robustness tests. Furthermore, female residents(p < 0.05), residents with lower education levels(p < 0.05), and those who believe in domestic religions(p < 0.05) exhibit higher social class identification compared to those who believe in foreign religions. Mechanism analysis suggests that economic capital and social capital play mediating roles, indicating that religious beliefs enhance the economic(p < 0.01) and social capital of believers(p < 0.01), thereby increasing their sense of social class identity.

conclusionsTherefore, this paper suggests respecting residents' religious beliefs, while religious organizations should actively adapt to the needs of social development, providing spiritual comfort and moral guidance to residents.

Indexed as

ReligionSocial ClassAdultChinaFemaleHumansMaleMiddle AgedSocial CapitalSocial IdentificationSurveys and QuestionnairesYoung AdultEconomic capitalReligious beliefsSocial capitalSocial class identification

Identifiers

PMID39543772
PMCPMC11566216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.