Evidence map›Paper›PMID 41158664›Full record

ArticleInternational journal of women's health2025

Causal Relationship Between Socioeconomic Inequality and Hormone-Related Gynecologic Diseases: A Two-Sample, Two-Step Mendelian Randomization Study.

Yi Yu, Zhonghao Mao, Lianlian Feng, Nannan Li, Xinlin Jiao, Teng Zhang, Baoxia Cui

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Article in International journal of women's 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi Yu *Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Zhonghao Mao *Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Lianlian FengDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Nannan LiDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Xinlin JiaoDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Teng ZhangDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Baoxia CuiDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.ORCID 0000-0001-9088-1240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Although observational studies suggest a link between socioeconomic status (SES) and hormone-related gynecologic diseases, the causal direction and mediating mechanisms remain unclear. This study aims to explore the causal relationships and potential mediators using genetic data. Patients and Methods: We conducted univariable and multivariable Mendelian randomization (UVMR and MVMR) analyses using genome-wide association study (GWAS) summary statistics from European populations to assess the causal effects of education, income, and occupation on five hormone-related gynecologic diseases. A two-step MR was applied to explore potential mediators. Results: Genetically predicted higher educational attainment, but not income or occupation, showed the protective causal effect on the risk of endometriosis. In UVMR and MVMR analyses, a genetic predisposition for higher education was found to be causally associated with reduced rates of endometriosis (UVMR: OR = 0.94, 95% CI: 0.91-0.98, P = 0.001; MVMR: OR = 0.92, 95% CI: 0.87-0.98, P = 0.018) and uterine endometriosis (UVMR: OR = 0.91, 95% CI: 0.86-0.98, P = 0.007; MVMR: OR = 0.88, 95% CI: 0.80-0.96, P = 0.006). Mediation analysis indicated that major depression (MDD) might play a potential, causal mediating role between education and uterine endometriosis, with a mediation proportion of 12.22%. Conclusion: These findings provide genetic evidence that educational attainment reduces the risk of uterine endometriosis, partly through MDD. Targeted public health strategies addressing education and mental health may help reduce disease burden.

Indexed as

educational attainmentendometriosisfemale reproductive healthmajor depressionMendelian randomizationsocioeconomic status

Identifiers

PMID41158664
PMCPMC12558102

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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.