Evidence map›Paper›PMID 32967642›Full record

ArticleBMC public health2020

Decomposing differences in depressive symptoms between older rural-to-urban migrant workers and their counterparts in mainland China.

Wei Yang, Dan Li, Jianmin Gao, Xiaojuan Zhou, Fuzhen Li

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 17 citations in OpenAlex.

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  10. Health Disparities between the Rural and Urban Elderly in China: A Cross-Sectional Study.International journal of environmental research and public health · 2021
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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

5 authors at 3 institutions in 1 country.

Wei YangXi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, PR China.
Dan LiSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, PR China.
Jianmin GaoXi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, PR China. gaojm@mail.xjtu.edu.cn.
Xiaojuan ZhouDepartment of Anesthesiology, Northwest Women and children's Hospital affiliated to Xi'an Jiaotong University, Xi'an, Shaanxi, PR China.
Fuzhen LiDepartment of Infectious Diseases, Central Hospital of Shangluo, Xi'an, Shaanxi, PR China.
Xi'an Jiaotong University · CNNorthwest Women's and Children's Hospital · CNShangluo Central Hospital · CN

Funding

Shaanxi Provincial Health Research Fund No 2016E013
6 · The paper itself

Abstract

backgroundThere has been an increase in older rural-to-urban migrant workers (aged 50 and above) in mainland China, little known about their depressive symptoms. The aim of this study was to identify depressive symptoms among older rural-to-urban migrant workers, as well as explored the factors leading to differences in depressive symptoms between older rural-to-urban migrant workers and their rural counterparts (older rural dwellers) and urban counterparts (older urban residents) in mainland China. The results provided a comprehensive understanding of the depressive symptoms of older rural-to-urban migrant workers, and had great significance for improving the depressive symptoms for this vulnerable group.

methodsData were derived from the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2015, and coarsened exact matching (CEM) method was employed to control confounding factors. This study employed a Chinese version 10-item short form of the Center for Epidemiologic Studies-Depression Scale (CES-D 10) to measure depressive symptoms, and used the Social-Ecological Model as a framework to explore influential factors related to depressive symptoms. Specifically, the approach of Fairlie's decomposition was used to parse out differences into observed and unobserved components.

resultsAfter matching, our findings indicated that the prevalence of depressive symptoms in older rural-to-urban migrant workers was lower than older rural dwellers; and the prevalence of depressive symptoms in older rural-to-urban migrant workers was higher than older urban residents. Fairlie's decomposition analysis indicated that type of in-house shower, sleeping time at night and ill in the last month were proved to be major contributors to the differences in depressive symptoms between older rural-to-urban migrant workers and older rural dwellers; self-reported health and sleeping time at night were proved to be major contributors to the differences in depressive symptoms between older rural-to-urban migrant workers and older urban residents.

conclusionsDifferences in depressive symptoms between older rural-to-urban migrant workers and their rural and urban counterparts did exist. Our findings contributed to a more reliable understanding in depressive symptoms among older rural-to-urban migrant workers. Our findings would be of referential significance for improving older rural-to-urban migrant workers' depressive symptoms.

Indexed as

Health Status DisparitiesAgedChinaDepressionFemaleHumansLongitudinal StudiesMaleMiddle AgedRural PopulationTransients and MigrantsUrban PopulationDepressive symptomsFairlie’s decompositionOlder rural-to-urban migrant workersThe social-ecological model

Identifiers

PMID32967642
PMCPMC7510073
OpenAlexW3088523272

What Socratic 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 Socratic graph.