Evidence map›Paper›PMID 36694143›Full record

ArticleBMC psychiatry2023

Prevalence and gender disparity of those who screen positive for depression in China by the classification of the employer and industry: a cross-sectional, population-based study.

Shanquan Chen, Yuqi Wang, Rui She

Abstract read
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Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
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4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shanquan ChenDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK. sc2147@cam.ac.uk.
Yuqi WangDepartment of Computer Science, University College London, London, WC1E 6BT, UK.
Rui SheDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.

Funding

Medical Research Council MC_PC_17213NIHR Cambridge Biomedical Research Centre BRC-1215-20014
6 · The paper itself

Abstract

backgroundThe important role of mental health in sustainable economic development is gradually being recognized. This study aimed to evaluate the prevalence and gender disparity of those who screen positive for depression in China by the employer and industrial classification.

methodsWe used data from a nationally representative survey, the China Family Panel Studies. Depression was judged by the Centre for Epidemiologic Studies Depression Scale. Employer classifications were categorized according to the local characteristics of Mainland China. Industrial classifications were defined using level-1 of the China version of the International Standard Industrial Classification of All Economic Activities. Weighted logistic regressions were fitted to estimate the gender disparities, controlling for confounders.

resultsForty eight thousand six hundred twenty eight adults were included. 18.7% (95%CI 18.1-19.4) of sampled adults were screened positive for depression symptoms, with 16.6% (95%CI 15.8-17.5) in males vs 21.0% (95%CI 20.1-22.0) in females. By classification of the employer, the prevalence was lowest among those employed by Government/party organisations (11.8%, 95%CI 8.9-15.4), and highest in those self-employed (21.8%, 95%CI 20.8-22.9); the gender disparity was mainly found in those employed by Sole proprietorship (Adjusted odds ratio [AOR] = 1.95, 95%CI 1.19-3.19) and Private enterprise (AOR = 1.34, 95%CI 1.13-1.59), as well as those self-employed (AOR = 1.49, 95%CI 1.3-1.17). By industrial classification, the prevalence was lowest among those who worked in the industry of Real estate (7.2%, 95%CI 4.8-10.6), and highest among those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (22.9%, 95%CI 15.5-32.4); the gender disparity was mainly found in those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (AOR = 3.29, 95%CI 1.18-9.15), Manufacturing (AOR = 1.41, 95% CI 1.09-1.82), Wholesale and retail trade (AOR = 1.48, 95% CI 1.07-2.06), and Accommodation and food service (AOR = 1.91, 95% CI 1.15-3.18).

conclusionThe prevalence of depression in China had a wide variation by classifications of the employer and industry. Gender disparities were identified among workers from Sole proprietorship, Private enterprise, and self-employed, or workers from the industry of Agriculture, forestry, animal husbandry and fishing, Manufacturing, Wholesale and retail trade, and Accommodation and food service.

Indexed as

DepressionIndustryAnimalsChinaCross-Sectional StudiesFemaleMalePrevalenceChinaDepressionEmployer classificationGender disparityIndustrial classificationPrevalence

Identifiers

PMID36694143
PMCPMC9872324

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