Evidence map›Paper›PMID 40269812›Full record

ArticleBMC public health2025

Unveiling the long-term impact: exploring the link between exposure to the great Chinese famine and health-related quality of life in middle-aged and elderly populations through propensity score matching.

Wenlong Wang, Jiahui He, Ximin Ma, Zhaoyan Hu, Baokai Gao, Jiancai Du, Hui Qiao

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Article in BMC public health, 2025. 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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5 · Who and what money

Authors and funding

7 authors.

Wenlong Wang *School of Public Health, Ningxia Medical University, Yinchuan, China.
Jiahui He *School of Public Health, Ningxia Medical University, Yinchuan, China.
Ximin MaSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Zhaoyan HuCenter for Disease Control And Prevention of Qingyang City, Qingyang, China.
Baokai GaoPeking University First Hospital Ningxia Women and Children's Hospital (Autonomous Maternal and Child Health Care Hospital), Yinchuan, China.
Jiancai DuSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Hui QiaoSchool of Public Health, Ningxia Medical University, Yinchuan, China. qiaohui71@163.com.

Funding

National Natural Science Foundation of China 72364031
6 · The paper itself

Abstract

objectiveThis study aimed to explore the relationship between exposure to the Great Chinese Famine (1959-1961) and health-related quality of life (HRQoL) in middle-aged and elderly people after adjusting for selection bias using propensity score matching (PSM).

methodsThis cross-sectional study was conducted in Ningxia, China, in 2022. A multi-stage stratified cluster-randomized design was used to obtain a representative sample in each county. We included participants aged 45 years and older, who had lived there for more than 1 year. This study included 5,793 middle-aged and elderly people in Ningxia, China as the research subjects. This study used propensity score matching (PSM) to empirically examine the association between exposure to the Great Famine and HRQoL in middle-aged and older adults. In the first step, we estimated a binary logistic regression model with Great Chinese Famine exposure as the dependent variable and 7 factors as confounding variables. In the second step, we performed propensity score analysis using the confounding variables identified in the first step to control for potential selection bias. To avoid bias due to age differences, we introduced the age variable into the regression model to explore the effect of the Great Famine impact. Different definitional criteria were used to define the exposed and control groups in order to robustly test the findings.

resultsThe results showed that middle-aged and elderly people who reported exposure to the Great Famine had lower HRQoL than middle-aged and elderly people who were not exposed to the Great Famine, after adjusting for gender, educational background, economic level, BMI, Chronic conditions, smoking and drinking. In order to avoid the influence of age differences on the results, this study used matched samples and included the age variable in the regression analysis to minimise the bias due to age. Also, exposure was defined in different ways to test the robustness of the results.

conclusionsThe health-related quality of life of middle-aged and older adults who experienced China's Great Famine (1959-1961) declined substantially in later life, but the inclusion of the age variable made the statistical results non-significant.

Indexed as

FamineQuality of LifeAgedAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedPropensity ScoreCausal inferenceEQ-5D-3LGreat Chinese famineHealth-related quality of lifePropensity score matchingSurvival

Identifiers

PMID40269812
PMCPMC12016403

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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.