Evidence map›Paper›PMID 40820142›Full record

ArticleScientific reports2025

Disparities in disease burden of congenital heart disease among 150,488 individuals in Western China.

Jun Wang, Yang Bai, Hongmei Zhou, Jue Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jun Wang *Center for Health Policy Research and Evaluation, Renmin University of China, Beijing, 100872, China.
Yang Bai *Center for Health Policy Research and Evaluation, Renmin University of China, Beijing, 100872, China.
Hongmei ZhouFuwai Yunnan Cardiovascular Hospital, Kunming, 650021, China. ynfwyy2025@163.com.
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, 100191, China. jueliu@bjmu.edu.cn.

Funding

National Natural Science Foundation of China 72042002, 72122001, 72061160491, 72211540398
6 · The paper itself

Abstract

Congenital heart disease (CHD) has severe impact on people's health status and disease burden worldwide. Little is known about the disparities of the CHD burden in the western China. We aimed to analyze the disparities in sex, age, ethnic, marital status, and medical insurance so that we can improve the equity and reduce the disease burden among patients. We did a hospital-based cross-sectional study using data from a specialized cardiovascular hospital in western China, including health status, demographic and medical information. Logistic regression models were used in order to explore the association between CHD and sex, age, marital status, ethnic and medical insurance. Probit regression model was also used in sensitivity analysis. Female patients were more like to have CHD than their male counterparts (OR = 0.667; 95%CI = 0.515, 0.863; P = 0.002). Using people who aged less than 10 years old as reference, we found people aged between 10 and 19 years old, 20 to 29 years old, 30-39 years old, 40-49 years old had higher probability to suffer from CHD (OR = 11.051; 95%CI: 5.526, 22.097; P < 0.001; OR = 7.534; 95%CI: 3.528, 16.092; P < 0.001; OR = 3.479; 95%CI: 1.551, 7.803; P = 0.002; OR = 2.778; 95%CI: 1.313, 5.874; P = 0.008; respectively). Compared with no medical insurance, people use Urban Employee Basic Medical Insurance and Urban Resident Basic Medical Insurance have lower CHD prevalence (OR = 0.478; 95%CI: 0.274, 0.834; P = 0.009; OR = 0.408; 95%CI: 0.251, 0.663; P < 0.001; respectively). However, people with New rural cooperative medical insurance have higher CHD prevalence (OR = 1.985; 95%CI: 1.188, 3.316; P = 0.009). We also found significant relevance between marital status and the prevalence of CHD, married people had lower CHD prevalence compared with divorced or widowed respondents (OR = 0.492; 95%CI: 0.268, 0.904; P = 0.022). In this study, significant disparities were found in disease burden of CHD among different sex, age, marital status and medical insurance types. Our findings underscore the need for government and healthcare providers to prioritize early detection and proactive measures for CHD, with a particular focus on the demographic factors of sex and age. Additionally, enhancing the accessibility and coverage of public medical insurance is highlighted as a critical area for future improvement to mitigate the disease burden.

Indexed as

Cost of IllnessHealth Status DisparitiesHeart Defects, CongenitalAdolescentAdultChildChild, PreschoolChinaCross-Sectional StudiesFemaleHumansInfantInsurance, HealthMaleMiddle AgedYoung AdultCongenital heart diseaseDisease burdenDisparityPrevalence

Identifiers

PMID40820142
PMCPMC12358574

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