Evidence map›Paper›PMID 40864507›Full record

ArticleAnatolian journal of cardiology2025

Association of Red Cell Distribution Width and Red-Cell-Distribution-Width-to-Albumin Ratio with Cardiovascular Diseases in Postmenopausal Women: A Cross-Sectional Study based on the National Health and Nutrition Examination Survey 2003-2016.

Chao Li, Han-Qiao Yu, Yun Chen, Xiao-Sheng Sheng

Abstract read
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Article in Anatolian journal of cardiology, 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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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chao LiDepartment of Internal Medicine-Cardiovascular, Jinhua People's Hospital, Jinhua, China.
Han-Qiao YuDepartment of Internal Medicine-Cardiovascular, Jinhua People's Hospital, Jinhua, China.
Yun ChenDepartment of Internal Medicine-Cardiovascular, Jinhua People's Hospital, Jinhua, China.
Xiao-Sheng ShengDepartment of Internal Medicine-Cardiovascular, Jinhua People's Hospital, Jinhua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) significantly increases in postmenopausal women. This study aims to investigate the potential association between red cell distribution width (RDW), the RDW-to-albumin ratio (RAR), and the prevalence of CVD in postmenopausal women.

methodsThis study analyzed data extracted from the National Health and Nutrition Examination Survey (NHANES) database spanning the years 2003-2016. Weighted multiple logistic regression models were used to evaluate the associations between RDW, RAR, and CVD. Smoothing curve fitting and generalized additive models were applied to explore potential nonlinear relationships. Subgroup analyses and interaction tests were conducted to investigate whether the associations between RDW, RAR, and CVD varied across different subpopulations. Sensitivity analyses were performed to assess the robustness of the findings.

resultsThis study included a total of 7619 postmenopausal women, of whom 1181 had CVD. Logistic regression models revealed that for each unit increase in RDW and RAR, the risk of total CVD in postmenopausal women increased by 11% and 42%, respectively. When RDW and RAR were categorized into groups, the risk of CVD significantly increased with higher levels of RDW and RAR. Smoothing curve fitting demonstrated a nonlinear relationship between RDW, RAR, and total CVD. Subgroup analyses revealed that the positive associations between RDW, RAR, and CVD were particularly significant in individuals aged ≥60 years and with a body mass index (BMI) ≥25 kg/m².

conclusionHigher RDW and RAR in postmenopausal women are positively associated with an increased risk of CVD, supporting the potential use of RDW and RAR as risk bio-markers for CVD in this population.

Indexed as

Cardiovascular DiseasesErythrocyte IndicesPostmenopauseSerum AlbuminAgedBiomarkersCross-Sectional StudiesFemaleHumansLogistic ModelsMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesBiomarkersSerum Albumin

Identifiers

PMID40864507
PMCPMC12588308

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