Evidence map›Paper›PMID 36901215›Full record

ArticleInternational journal of environmental research and public health2023

The Effects of Subjective Social Class on Subjective Well-Being and Mental Health: A Moderated Mediation Model.

Kai Li, Feng Yu, Yanchi Zhang, Yongyu Guo

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Kai LiDepartment of Psychology, School of Philosophy, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-3688-2418
Feng YuDepartment of Psychology, School of Philosophy, Wuhan University, Wuhan 430072, China.
Yanchi ZhangSchool of Psychology, Northwest Normal University, Lanzhou 730070, China.
Yongyu GuoSchool of Psychology, Nanjing Normal University, Nanjing 210097, China.

Funding

the China Postdoctoral Science Foundation 2022M722482the National Social Science Fund of China 20CZX059
6 · The paper itself

Abstract

In recent decades, China's rapid economic growth has substantially improved average living standards; however, this has not been accompanied by greater happiness among the Chinese population. This phenomenon is known as the Easterlin Paradox (i.e., there is no link between a society's economic development and its average level of happiness) in Western countries. This study examined the effects of subjective social class on subjective well-being and mental health in China. Consequently, we found that individuals in a relatively low social class had lower levels of subjective well-being and mental health; self-class discrepancy partially explains the relationship between subjective social class and subjective well-being and fully explains the relationship between subjective social class and mental health; and subjective social mobility moderates the path from self-class discrepancy to subjective well-being and mental health. These findings suggest that enhancing social mobility is an important method for reducing class differences in subjective well-being and mental health. These results have important implications, indicating that enhancing social mobility is an important method for reducing class differences in subjective well-being and mental health in China.

Indexed as

Mental HealthSocial ClassChinaHumansSocial MobilitySocioeconomic Factorsmental healthself-class discrepancysubjective social classsubjective social mobilitysubjective well-being

Identifiers

PMID36901215
PMCPMC10002280

What OpenQuestion holds

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LicenceCC BY
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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.