Evidence map›Paper›PMID 30486246›Full record

ArticleInternational journal of environmental research and public health2018

The Health Consequences of Social Mobility in Contemporary China.

Fei Yan, Guangye He, Yunsong Chen

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Exploring the Intricacies of Social Mobility Trajectories and Perceived Stress in Post-Reform China.Stress and health : journal of the International Society for the Investigation of Stress · 2025
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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

3 authors.

Fei YanDepartment of Sociology, Tsinghua University, Beijing 100084, China. feiyan@tsinghua.edu.cn.ORCID 0000-0001-7477-5990
Guangye HeDepartment of Sociology, Nanjing University, Nanjing 210008, China. hgy.gloria@nju.edu.cn.
Yunsong ChenDepartment of Sociology, Nanjing University, Nanjing 210008, China. yunsong.chen@nju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although numerous studies have shown the importance of an individual's socioeconomic status on his or her self-rated health status, less well-known is whether self-perceived class mobility, a measure highly correlated with an individual's de facto social class and past mobility experiences, affects self-rated health. In this paper, we attempt to fill the gap by examining how perception of class mobility is associated with self-rated health. Using eight waves of Chinese General Social Survey data spanning the years 2005 to 2015, we conducted an analysis at the micro (individual) level and the macro (provincial) level. Analyses at both levels yielded consistent results. At the individual level, we employed ordered logistic regression and found that the perception of experiencing downward mobility was associated with significantly lower self-rated health in both rural and urban areas compared with those who consider themselves to be upwardly mobile or immobile. At the provincial level, the findings from static panel analysis further revealed that there is a positive relationship between the self-perceived class mobility and self-rated health level.

Indexed as

Health Status IndicatorsSelf ConceptSocial ClassAdultChinaFemaleForecastingHumansLogistic ModelsMaleMiddle AgedRural PopulationSocial MobilitySocioeconomic FactorsUrban PopulationChinadownward mobilityself-rated healthsocial mobilityupward mobility

Identifiers

PMID30486246
PMCPMC6313999

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.