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The prevalence of metabolic syndrome in Chinese postmenopausal women and the optimum body composition indices to predict it.
Menopause. 2010 May-Jun; 17(3):566-70.M

Abstract

OBJECTIVE

The aim of this study was to determine the prevalence of metabolic syndrome (MetS) in Chinese postmenopausal women and explore the optimum body composition indices to predict MetS.

METHODS

Participants were independent, community-dwelling women. Recruitment occurred through advertisements in newspapers and flyers posted in the local community. A total of 181 postmenopausal women were recruited. Their parameters were measured, including body height, weight, waist circumference (WC), hip circumference, sagittal abdominal diameter, blood pressure, follicle-stimulating hormone, luteinizing hormone, estradiol, triglyceride, high-density lipoprotein cholesterol, fasting plasma glucose, and body fat (BF; %). Logistic regression analyses were applied for correlation between stated variables. Optimization of body composition indices to predict MetS in postmenopausal women was analyzed with the area under the curve of the receiver.

RESULTS

The prevalence of MetS in postmenopausal women was 33.7%. The risk factors of MetS in postmenopausal women were age, family history of metabolic disorders (obesity, hypertension, hyperlipemia, and diabetes mellitus), body composition indices (body mass index [BMI], WC, waist-to-hip ratio, sagittal abdominal diameter, and BF), and metabolic indices (systolic and diastolic blood pressure, fasting plasma glucose, and triglyceride; odds ratio > 1, P < 0.05), and the protective factor is high-density lipoprotein cholesterol (odds ratio = 0.114, P < 0.05). All body composition indices in our study had a positive correlation with number of MetS factors. The body composition indices in our study showed a positive correlation with each other (P < 0.001). BMI and WC were highly correlated with BF (r > 0.900, P < 0.001). Through receiver operating characteristic curve analysis, it was determined that body composition indices (WC, 80.75 cm; BF, 36.695%; sagittal abdominal diameter, 18.35 cm; or BMI, 24.835 kg/m) could be used to predict MetS.

CONCLUSIONS

The prevalence of MetS in Chinese postmenopausal women is 33.7%. Body composition indices (WC > or = 80.75 cm, BF > or = 36.695%, sagittal abdominal diameter > or = 18.35 cm, or BMI > or = 24.835 kg/m) were discovered to predict MetS.

Authors+Show Affiliations

Department of Endocrinology for Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China 100026. ruanxiangyan@163.comNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

20054286

Citation

Ruan, Xiangyan, et al. "The Prevalence of Metabolic Syndrome in Chinese Postmenopausal Women and the Optimum Body Composition Indices to Predict It." Menopause (New York, N.Y.), vol. 17, no. 3, 2010, pp. 566-70.
Ruan X, Jin J, Hua L, et al. The prevalence of metabolic syndrome in Chinese postmenopausal women and the optimum body composition indices to predict it. Menopause. 2010;17(3):566-70.
Ruan, X., Jin, J., Hua, L., Liu, Y., Wang, J., & Liu, S. (2010). The prevalence of metabolic syndrome in Chinese postmenopausal women and the optimum body composition indices to predict it. Menopause (New York, N.Y.), 17(3), 566-70. https://doi.org/10.1097/gme.0b013e3181c8f4e1
Ruan X, et al. The Prevalence of Metabolic Syndrome in Chinese Postmenopausal Women and the Optimum Body Composition Indices to Predict It. Menopause. 2010 May-Jun;17(3):566-70. PubMed PMID: 20054286.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - The prevalence of metabolic syndrome in Chinese postmenopausal women and the optimum body composition indices to predict it. AU - Ruan,Xiangyan, AU - Jin,Jing, AU - Hua,Lin, AU - Liu,Yulan, AU - Wang,Juan, AU - Liu,Shunyu, PY - 2010/1/8/entrez PY - 2010/1/8/pubmed PY - 2010/8/7/medline SP - 566 EP - 70 JF - Menopause (New York, N.Y.) JO - Menopause VL - 17 IS - 3 N2 - OBJECTIVE: The aim of this study was to determine the prevalence of metabolic syndrome (MetS) in Chinese postmenopausal women and explore the optimum body composition indices to predict MetS. METHODS: Participants were independent, community-dwelling women. Recruitment occurred through advertisements in newspapers and flyers posted in the local community. A total of 181 postmenopausal women were recruited. Their parameters were measured, including body height, weight, waist circumference (WC), hip circumference, sagittal abdominal diameter, blood pressure, follicle-stimulating hormone, luteinizing hormone, estradiol, triglyceride, high-density lipoprotein cholesterol, fasting plasma glucose, and body fat (BF; %). Logistic regression analyses were applied for correlation between stated variables. Optimization of body composition indices to predict MetS in postmenopausal women was analyzed with the area under the curve of the receiver. RESULTS: The prevalence of MetS in postmenopausal women was 33.7%. The risk factors of MetS in postmenopausal women were age, family history of metabolic disorders (obesity, hypertension, hyperlipemia, and diabetes mellitus), body composition indices (body mass index [BMI], WC, waist-to-hip ratio, sagittal abdominal diameter, and BF), and metabolic indices (systolic and diastolic blood pressure, fasting plasma glucose, and triglyceride; odds ratio > 1, P < 0.05), and the protective factor is high-density lipoprotein cholesterol (odds ratio = 0.114, P < 0.05). All body composition indices in our study had a positive correlation with number of MetS factors. The body composition indices in our study showed a positive correlation with each other (P < 0.001). BMI and WC were highly correlated with BF (r > 0.900, P < 0.001). Through receiver operating characteristic curve analysis, it was determined that body composition indices (WC, 80.75 cm; BF, 36.695%; sagittal abdominal diameter, 18.35 cm; or BMI, 24.835 kg/m) could be used to predict MetS. CONCLUSIONS: The prevalence of MetS in Chinese postmenopausal women is 33.7%. Body composition indices (WC > or = 80.75 cm, BF > or = 36.695%, sagittal abdominal diameter > or = 18.35 cm, or BMI > or = 24.835 kg/m) were discovered to predict MetS. SN - 1530-0374 UR - https://www.unboundmedicine.com/medline/citation/20054286/The_prevalence_of_metabolic_syndrome_in_Chinese_postmenopausal_women_and_the_optimum_body_composition_indices_to_predict_it_ L2 - http://dx.doi.org/10.1097/gme.0b013e3181c8f4e1 DB - PRIME DP - Unbound Medicine ER -