Evidence map›Paper›PMID 42365356›Full record

ArticleBMC public health2026

Association of METS-IR with breast cancer risk: a large-scale retrospective cohort study of Korean women.

Jimin Park, Jun-Hyuk Lee, Soon-Hyun Kang, Yang-Hyun Kim, Byoungduk Han, Duk Ho Kim, Jihyun Yoon

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Article in BMC public health, 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

7 authors.

Jimin Park *Department of Medicine, Eulji University School of Medicine, Daejeon, Republic of Korea.
Jun-Hyuk Lee *Department of Family Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Republic of Korea.
Soon-Hyun KangDivision of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yang-Hyun KimDepartment of Family Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, 02481, Republic of Korea.
Byoungduk HanDepartment of Family Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, 02481, Republic of Korea.
Duk Ho Kim *Department of Emergency Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, 01830, Republic of Korea. 20180114@eulji.ac.kr.
Jihyun Yoon *Department of Family Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, 02481, Republic of Korea. ghyun.yoon@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance has been linked to increased breast cancer risk through mechanisms involving metabolic dysfunction and chronic inflammation. This study aimed to investigate the association between the metabolic score for insulin resistance (METS-IR) and breast cancer incidence in a large cohort of Korean women.

methodsWe conducted a retrospective cohort analysis using data from 2,731,416 women aged ≥ 40 years, obtained from the 2009-2010 Korean National Health Screening Program. Participants had no prior history of breast cancer at baseline. METS-IR scores were calculated and stratified into quartiles. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for breast cancer incidence according to METS-IR quartiles.

resultsDuring 31,633,123 person-years of follow-up, 43,526 new breast cancer cases were identified. Women in the highest METS-IR quartile demonstrated a significantly increased breast cancer risk (HR: 1.07, 95% CI: 1.03-1.12) compared to those in the lowest quartile. This relationship exhibited a non-linear association, with the increased risk of breast cancer primarily driven by the highest quartile of metabolic dysfunction.

conclusionsOur findings validate METS-IR as a useful tool for breast cancer risk assessment among Korean women, highlighting the importance of insulin resistance as a modifiable metabolic risk factor. These results emphasize the need for targeted preventive interventions focusing on metabolic health to reduce breast cancer incidence.

Indexed as

Breast NeoplasmsInsulin ResistanceMetabolic SyndromeAdultAgedFemaleHumansIncidenceMiddle AgedProportional Hazards ModelsRepublic of KoreaRetrospective StudiesRisk AssessmentRisk FactorsBreast cancerInsulin resistanceMETS-IR

Identifiers

PMID42365356
PMCPMC13573350

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