Evidence map›Paper›PMID 32987942›Full record

ArticleInternational journal of environmental research and public health2020

Wage Penalties or Wage Premiums? A Socioeconomic Analysis of Gender Disparity in Obesity in Urban China.

Jiangli Dou, Limin Du, Ken Wang, Hailin Sun, Chenggang Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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. Weightism in Asia: A Narrative Review and Implications for Practice.Journal of obesity & metabolic syndrome · 2024
    Review
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

5 authors.

Jiangli DouSchool of Economics, Zhejiang Gongshang University, Hangzhou 310012, China.
Limin DuSchool of Economics, Zhejiang University, Hangzhou 310027, China.
Ken WangSchool of Social Sciences, Tsinghua University, Beijing 100084, China.
Hailin SunThe Institute for Social Governance and Development, Tsinghua University, Beijing 100084, China.
Chenggang ZhangDepartment of Sociology, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-6324-3670

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global obesity as a major public health problem has increased at pandemic rate, with men often outpacing women. Survey data show that the overall prevalence of obesity is higher among women than men, yet in high-income developed countries, the prevalence of overweight is higher among men than women. The differential impact of different economic stages has prompted research in transition economies such as China. Using an instrumental variable approach based on a sample of 13,574 individuals from nine provinces in the Chinese Household Income Project (CHIP), we find a 7% excess-weight premium in wages for overweight men and a 4.6% penalty for overweight women, compared to their healthy-weight peers. We also find an inverse u-shaped association between the body mass index (BMI) and logarithm of monthly income for men, with an implied optimum above the threshold of obesity, while women are better off the slimmer they are. The excess-weight premium in wages for Chinese urban men might be associated with entrenched business practices of excessive dining and drinking associated with senior positions. Policies aimed at reducing obesity in China must be adapted to its unique sociocultural context in order to have gender-differentiated effects.

Indexed as

ObesityOverweightSalaries and Fringe BenefitsAdultBody Mass IndexChinaFemaleHumansMaleMiddle AgedPrevalenceSex FactorsSocioeconomic Factorsgenderincomeobesityoverweight

Identifiers

PMID32987942
PMCPMC7578971

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.