Evidence map›Paper›PMID 27905918›Full record

ArticleBMC public health2016

Decomposing socioeconomic inequalities in depressive symptoms among the elderly in China.

Yongjian Xu, Jinjuan Yang, Jianmin Gao, Zhongliang Zhou, Tao Zhang, Jianping Ren, Yanli Li, Yuyan Qian, Sha Lai, Gang Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. The U-shape Association between Population Agglomeration and Individual Depression: the Role of Dialect Diversity.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
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  11. [Relationship Between Hearing Loss and Cognitive Function in Elderly Chinese People: A Study Based on Propensity Score Matching].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
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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

10 authors.

Yongjian XuSchool of Public Policy and Administration, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, Shaanxi, China.
Jinjuan YangSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Jianmin GaoSchool of Public Policy and Administration, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, Shaanxi, China. gaojm@mail.xjtu.edu.cn.
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, Shaanxi, China.
Tao ZhangSchool of Medicine, Hangzhou Normal University, Hangzhou, China.
Jianping RenSchool of Medicine, Hangzhou Normal University, Hangzhou, China.
Yanli LiSchool of Public Policy and Administration, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, Shaanxi, China.
Yuyan QianSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Sha LaiSchool of Public Policy and Administration, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, Shaanxi, China.
Gang ChenCentre for Health Economics, Monash Business School, Monash University, Melbourne, Australia. gang.chen@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccelerated population ageing brings about unprecedented challenges to the health system in China. This study aimed to measure the prevalence and the income-related inequality of depressive symptoms, and also identify the determinants of depressive symptom inequality among the elderly in China.

methodsData were drawn from the second wave of the China Health and Retirement Longitudinal Study (CHARLS). Depressive symptoms were assessed with a 10-item Center for Epidemiologic Studies-Depression Scale (CES-D), which was preselected in CHARLS. The concentration index was used to measure the magnitude of income-related inequality in depressive symptoms. A decomposition analysis, based on the logit model, was employed to quantify the contribution of each determinant to total inequality.

resultsMore than 32.55% of the elderly in China had depressive symptoms. Women had a higher prevalence of depressive symptoms than men. The overall concentration index of depressive symptoms was -0.0645 among the elderly, indicating that depressive symptoms are more concentrated among the elderly who lived in economically disadvantaged situations, favoring the rich. Income was found to have the largest percentage of contribution to overall inequality, followed by residents' location and educational attainment.

conclusionThe prevalence of depressive symptoms in the elderly was considerably high in China. There was also a pro-rich inequality in depressive symptoms amongst elderly Chinese. It is suggested that some form of policy and intervention strategies, such as establishing the urban-rural integrated medical insurance scheme, enhancing the medical assistance system, and promoting health education programs, is required to alleviate inequitable distribution of depressive symptoms.

Indexed as

AgedChinaDepressionFemaleHumansIncomeLogistic ModelsLongitudinal StudiesMaleMiddle AgedPrevalenceRetirementRural PopulationSocial ClassSocioeconomic FactorsConcentration indexDecomposition analysisDepressive symptomsHealth inequality

Identifiers

PMID27905918
PMCPMC5134228

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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.