Evidence map›Paper›PMID 33902603›Full record

ArticleInternational journal for equity in health2021

Income-related health inequality among Chinese adults during the COVID-19 pandemic: evidence based on an online survey.

Peng Nie, Lanlin Ding, Zhuo Chen, Shiyong Liu, Qi Zhang, Zumin Shi, Lu Wang, Hong Xue, Gordon G Liu, Youfa Wang

Abstract read
In one paragraph

Article in International journal for equity in health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

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  5. The Effect of Ecological Management on Regional Health Inequality.International journal of environmental research and public health · 2023
    Article
  6. Estimating Income-Related Health Inequalities Associated with Tobacco and Alcohol Consumption in Namibia.International journal of environmental research and public health · 2023
    Article
  7. Article
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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.

Peng Nie *School of Economics and Finance, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Lanlin Ding *School of Economics and Finance, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Zhuo Chen *Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA.
Shiyong LiuCenter for Governance Studies, Beijing Normal University at Zhuhai, Zhuhai, 519087, China.
Qi ZhangSchool of Community and Environmental Health, Old Dominion University, Norfolk, VA, USA.
Zumin ShiHuman Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
Lu WangSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Hong XueDepartment of Health Administration and Policy, College of Health and Human Services, George Mason University, Fairfax, VA, 22030, USA.
Gordon G LiuPeking University National School of Development, Beijing, 100871, China.
Youfa WangGlobal Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China. xjtu_ghi@xjtu.edu.cn.ORCID 0000-0002-5322-6324

Funding

China Medical Board 16-262National Key Research and Development Program of China 2017YFC0907200, 2017YFC0907201National Natural Science Foundation of China 71804142, 72074178the University Alliance of the Silk Road 2020LMZX002
6 · The paper itself

Abstract

backgroundPartial- or full-lockdowns, among other interventions during the COVID-19 pandemic, may disproportionally affect people (their behaviors and health outcomes) with lower socioeconomic status (SES). This study examines income-related health inequalities and their main contributors in China during the pandemic.

methodsThe 2020 China COVID-19 Survey is an anonymous 74-item survey administered via social media in China. A national sample of 10,545 adults in all 31 provinces, municipalities, and autonomous regions in mainland China provided comprehensive data on sociodemographic characteristics, awareness and attitudes towards COVID-19, lifestyle factors, and health outcomes during the lockdown. Of them, 8448 subjects provided data for this analysis. Concentration Index (CI) and Corrected CI (CCI) were used to measure income-related inequalities in mental health and self-reported health (SRH), respectively. Wagstaff-type decomposition analysis was used to identify contributors to health inequalities.

resultsMost participants reported their health status as "very good" (39.0%) or "excellent" (42.3%). CCI of SRH and mental health were - 0.09 (p < 0.01) and 0.04 (p < 0.01), respectively, indicating pro-poor inequality in ill SRH and pro-rich inequality in ill mental health. Income was the leading contributor to inequalities in SRH and mental health, accounting for 62.7% (p < 0.01) and 39.0% (p < 0.05) of income-related inequalities, respectively. The COVID-19 related variables, including self-reported family-member COVID-19 infection, job loss, experiences of food and medication shortage, engagement in physical activity, and five different-level pandemic regions of residence, explained substantial inequalities in ill SRH and ill mental health, accounting for 29.7% (p < 0.01) and 20.6% (p < 0.01), respectively. Self-reported family member COVID-19 infection, experiencing food and medication shortage, and engagement in physical activity explain 9.4% (p < 0.01), 2.6% (the summed contributions of experiencing food shortage (0.9%) and medication shortage (1.7%), p < 0.01), and 17.6% (p < 0.01) inequality in SRH, respectively (8.9% (p < 0.01), 24.1% (p < 0.01), and 15.1% (p < 0.01) for mental health).

conclusionsPer capita household income last year, experiences of food and medication shortage, self-reported family member COVID-19 infection, and physical activity are important contributors to health inequalities, especially mental health in China during the COVID-19 pandemic. Intervention programs should be implemented to support vulnerable groups.

Indexed as

COVID-19Health Status DisparitiesAdultChinaFemaleHumansIncomeMaleSocioeconomic FactorsSurveys and QuestionnairesChinaCOVID-19Health inequalityMental healthSocioeconomic status

Identifiers

PMID33902603
PMCPMC8072088

What OpenQuestion holds

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LicenceCC BY
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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.