Metabolic syndrome clustering patterns and the association with cardiovascular disease among post-menopausal Korean women

The metabolic syndrome (MetS) is a group of diseases conceptualized as a clustering of risk factors, with the risks of developing MetS in women varying significantly before and after menopause. This study investigated MetS clustering patterns and their association with cardiovascular disease (CVD) risk among post-menopausal women (n = 2479) using data from the Korean Genome Epidemiology Study. Using latent class analysis, three groups emerged: diabetic (5.6%), hypertensive (35.2%), and low-risk (59.2%). Relative to the low-risk group, the diabetic group demonstrated associations with older age, a family history of chronic disease, an increased Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), an elevated white blood cell (WBC) count, experience with hysterectomy, being a non-drinker, more physical activity, and excessive sleep. The hypertensive group was associated with older age, lower monthly income, a family history of chronic disease, increased HOMA-IR, a higher WBC count, more physical activity, and excessive sleep. The diabetic and hypertensive groups had a significantly higher CVD risk than the low-risk group (diabetic: odds ratio [OR] = 2.41 [1.11, 5.27]; hypertensive: OR = 2.46 [1.33, 4.55]). This study identified potential markers for MetS screening in post-menopausal women, highlighting the need for early intervention and personalized healthcare for middle-aged women to reduce CVD risk following menopause.

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Publication Details

Journal
Scientific Reports
Published
2024-09-30
DOI
https://doi.org/10.1038/s41598-024-72403-1
Citations
6
Primary Topic
Diabetes Management and Education
Type
article
Field-Weighted Citation Impact
2.15
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article

Metabolic syndrome clustering patterns and the association with cardiovascular disease among post-menopausal Korean women

Minsung Sohn, Sang Hui Chu, Gwang Suk Kim, Chang Gi Park et al.
6 citations
Scientific Reports
Diabetes Management and Education
2.15
article

Metabolic syndrome clustering patterns and the association with cardiovascular disease among post-menopausal Korean women

Minsung Sohn, Sang Hui Chu, Gwang Suk Kim, Chang Gi Park, Kyung Hee Lee, You-Jung Choi
article en
6 citations

Abstract

The metabolic syndrome (MetS) is a group of diseases conceptualized as a clustering of risk factors, with the risks of developing MetS in women varying significantly before and after menopause. This study investigated MetS clustering patterns and their association with cardiovascular disease (CVD) risk among post-menopausal women (n = 2479) using data from the Korean Genome Epidemiology Study. Using latent class analysis, three groups emerged: diabetic (5.6%), hypertensive (35.2%), and low-risk (59.2%). Relative to the low-risk group, the diabetic group demonstrated associations with older age, a family history of chronic disease, an increased Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), an elevated white blood cell (WBC) count, experience with hysterectomy, being a non-drinker, more physical activity, and excessive sleep. The hypertensive group was associated with older age, lower monthly income, a family history of chronic disease, increased HOMA-IR, a higher WBC count, more physical activity, and excessive sleep. The diabetic and hypertensive groups had a significantly higher CVD risk than the low-risk group (diabetic: odds ratio [OR] = 2.41 [1.11, 5.27]; hypertensive: OR = 2.46 [1.33, 4.55]). This study identified potential markers for MetS screening in post-menopausal women, highlighting the need for early intervention and personalized healthcare for middle-aged women to reduce CVD risk following menopause.

Scientific ReportsVol. 14(1)
Yonsei University (KR), University of Illinois Chicago (US), Seojeong University (KR), Cyber University of Korea (KR), Yonsei University Health System (KR)
Gender equality
Openalex Percentile: Top 11%
Diabetes Management and Education
2.15
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