Evidence map›Paper›PMID 35024421›Full record

ReviewSSM - population health2022

Body shape and stable employment opportunity analysis of China's nonagricultural labor market.

Ping Li, Xiaozhou Chen, Frank Stafford, Jinyun Ou

Abstract readReview
In one paragraph

Review in SSM - population health, 2022. 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. Weightism in Asia: A Narrative Review and Implications for Practice.Journal of obesity & metabolic syndrome · 2024
    Review
  3. 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.

Ping LiAssociate Professor of Economics, School of Economics and Management, South China Normal University, Guangzhou, 510006, China.
Xiaozhou ChenAssociate Professor of Economics, School of Business Administration, Guangdong University of Finance, Guangzhou, 510006, China.
Frank StaffordProfessor of Economics, Department of Economics and Institute for Social Research, University of Michigan, Ann arbor, Michigan, 48108, United States.
Jinyun OuPh.D. Candidate, School of Economics and Management, South China Normal University, Guangzhou, 510006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the integrated data of the China General Social Survey (CGSS) from 2010 to 2017, this study observes that body shape - being overweight or underweight - is important for labor market outcomes. Body shape significantly affects the employment opportunities of Chinese individuals, and this effect differs by gender and across the occupational hierarchy. Women face both slim premium and obesity penalty effects. Slim women, those with normal and lower but not excessively lower body weight, are more likely to gain long-term employment contracts in the labor market, while the opposite is observed for overweight individuals. The relationship between women's body shape and employment opportunities also varies by occupation. The obesity penalty is more pronounced in occupations with a higher International Socio-Economic Index (ISEI), while the slim premium is more evident in occupations with a low ISEI. The results suggest that the Chinese labor market is highly demanding regarding women's figures, while it is relatively tolerant of men's figures. By mechanism analysis, health capital is found to be the leading cause of the body shape effect. In addition, socialization is also a possible pathway of action. This paper has extended implications for the study of stature and employment stability, enriching the empirical research on labor market discrimination.

Indexed as

BMIBody shapeEmployment contractOverweight penaltySlim premium

Identifiers

PMID35024421
PMCPMC8733337

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.