Evidence map›Paper›PMID 32758213›Full record

ArticleBMC health services research2020

Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015.

Guizhen Cao, Zhizhen Cui, Qinghua Ma, Congju Wang, Yong Xu, Hongpeng Sun, Yana Ma

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Guizhen Cao *Department of Child Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, 199 Ren-ai Rd, SuZhou City, Jiangsu Province, 215123, P. R. China.
Zhizhen Cui *Department of Child Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, 199 Ren-ai Rd, SuZhou City, Jiangsu Province, 215123, P. R. China.
Qinghua MaThe 3rd People's Hospital of Xiangcheng District, Suzhou, 215134, P. R. China.
Congju WangCenters for Disease Control and Prevention of Suzhou High-tech Zone, Suzhou, 215000, P. R. China.
Yong XuDepartment of Child Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, 199 Ren-ai Rd, SuZhou City, Jiangsu Province, 215123, P. R. China.
Hongpeng SunDepartment of Child Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, 199 Ren-ai Rd, SuZhou City, Jiangsu Province, 215123, P. R. China. hpsun@suda.edu.cn.
Yana MaDepartment of Child Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, 199 Ren-ai Rd, SuZhou City, Jiangsu Province, 215123, P. R. China. yanama@suda.edu.cn.
Soochow University · CN

Funding

Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases KJS1513National Natural Science Foundation of China 81402761NHC Key Laboratory of Health Economics and Policy Research Shandong University, Jinan 250012, ChinaSuzhou science and technology development project SS201811Suzhou Xiangcheng district people's livelihood science and technology project XJ201655, XJ201706the Foundation Research Project of Jiangsu Province BK20140361
6 · The paper itself

Abstract

backgroundThe purpose of this paper is to measure income-related health inequality among middle-aged and elderly patients with diabetes in China from 2011 to 2015 and to investigate factors that might be related to this inequality.

methodsThe data for this study were obtained from the China Health and Retirement Longitudinal Study that was carried out in 2011, 2013 and 2015. In total, 48,519 Chinese middle-aged and elderly population were included (15,457 in 2011, 16,576 in 2013 and 16,486 in 2015). A principal component analysis was performed to measure asset-based economic status. The concentration index was used to measure income-related inequality in patients with diabetes. Additionally, by used generalized linear model, we decomposed the concentration index to identify factors that explained wealth-related inequality in patients with diabetes.

resultsThe prevalence of self-reported diabetes among middle-aged and elderly Chinese was 5.61, 7.49 and 8.99% in 2011, 2013 and 2015, respectively. The concentration indices and 95% confidence intervals for diabetes were 0.1359 (0.0525-0.0597), 0.1207 (0.0709-0.0789), 0.1021 (0.0855-0.0942) in 2011, 2013, and 2015, respectively, which are indicative of inequality that favors the rich. The decomposition of the concentration index showed that residence (39.38%), BMI (31.16%), education (7.28%), and region (6.09%) had positive contributions to the measured inequality in diabetes in China in 2015. Age (- 29.93%) had a negative contribution to inequality.

conclusionThe findings confirm a health inequality in diabetes that favor the rich. Furthermore, the inequality declined from 2011 to 2015. We suggest that policy and intervention strategies should be developed to alleviate this health inequality, such as narrow the gap between urban and rural areas by improving the urban-rural medical insurance scheme, implementing strategies to enhance hygiene health education, control obesity rate.

Indexed as

Health Status DisparitiesAgedChinaDiabetes MellitusFemaleHumansIncomeLongitudinal StudiesMaleMiddle AgedConcentration indexDecompositionDiabetesIncome-related inequality

Identifiers

PMID32758213
PMCPMC7405442
OpenAlexW3046958529

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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.