Evidence map›Paper›PMID 42414630›Full record

ArticleEye (London, England)2026

Socioeconomic inequalities in self-reported vision impairment among middle-aged and older adults in China: a national longitudinal study from 2011 to 2018.

Kun Xiong, Fengping Zhao, Dengming Zhou, Xuanli Zheng, Shaodan Zhang, Nathan Congdon, Lu Yang, Yuanbo Liang

Abstract read
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Article in Eye (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kun XiongThe Affiliated Eye Hospital, Jiangxi Medical College, Jiangxi Clinical Research Center for Ophthalmic Disease, Nanchang University, Nanchang, China.
Fengping ZhaoNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Dengming ZhouNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Xuanli ZhengNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Shaodan ZhangNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Nathan CongdonZhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China.ORCID http://orcid.org/0000-0001-9866-3416
Lu YangThe Affiliated Eye Hospital, Jiangxi Medical College, Jiangxi Clinical Research Center for Ophthalmic Disease, Nanchang University, Nanchang, China. yiwang9@163.com.
Yuanbo LiangNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China. yuanboliang@wmu.edu.cn.ORCID http://orcid.org/0000-0001-9685-7356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo define temporal trends and socioeconomic inequalities in vision impairment in China.

methodsThis analysis utilises data from the China Health and Retirement Longitudinal Study, a nationally representative cohort study, which enrolled 10,942, 11,026, 12,717 and 16,095 participants aged ≥45 years across four survey waves conducted in 2011, 2013, 2015 and 2018, respectively. The main outcome was self-reported vision impairment by participants and we analysed trends and socioeconomic inequalities in the prevalence of distance vision impairment (DVI) and near vision impairment (NVI).

resultsThe age- and sex-adjusted prevalence of DVI and NVI decreased from 23.4% and 25.5% in 2011 to 17.1% and 18.2% in 2018 (P trend < 0.001). Across survey waves, the prevalence of vision impairment was significantly higher among groups of low versus high SES (2018: DVI 12.4% in the high SES group vs. 24.5% in the low SES group; NVI 13.9% in the high SES group vs. 24.3% in the low SES group). The concentration curves and concentration index indicate that socioeconomic inequality in vision impairment has persisted, that inequality in DVI remained stable (absolute value for concentration index: 0.175 in 2011; 0.182 in 2018) and that inequality in NVI widened (absolute value for concentration index: 0.069 in 2011; 0.142 in 2018).

conclusionsThis population-based study found a significant reduction in vision impairment in China from 2011 to 2018. Nonetheless, SES inequality in vision impairment persists without narrowing. Prevention and management strategies for vision impairment must target low SES populations to promote equality in healthcare opportunities.

Indexed as

Persons with Visual DisabilitiesSelf ReportVision DisordersAgedAged, 80 and overChinaFemaleHumansLongitudinal StudiesLow Socioeconomic StatusMaleMiddle AgedPrevalenceSocioeconomic Disparities in HealthSocioeconomic FactorsVisual Acuity

Identifiers

PMID42414630
PMCPMC13601511

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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.