Amber R Cordola Hsu, Susan L Ames, Bin Xie, Darleen V Peterson, Lorena Garcia, Scott B Going, Nathan D Wong, Hoda Anton-Culver
{"title":"Sociodemographic and metabolic risk characteristics associated with metabolic weight categories in the Women's Health Initiative.","authors":"Amber R Cordola Hsu, Susan L Ames, Bin Xie, Darleen V Peterson, Lorena Garcia, Scott B Going, Nathan D Wong, Hoda Anton-Culver","doi":"10.1097/XCE.0000000000000194","DOIUrl":null,"url":null,"abstract":"<p><p>To identify sociodemographic and metabolic correlates of weight categories in postmenopausal women.</p><p><strong>Methods: </strong>The Women's Health Initiative enrolled 161 808 postmenopausal women ages 50-79. We included those free of cardiovascular disease (CVD) and with CVD risk factors and biomarkers (<i>n</i> = 19 412). Normal weight was defined as a BMI ≥18.5 and <25 kg/m<sup>2</sup> and waist circumference <88 cm and overweight/obesity as a BMI ≥25 kg/m<sup>2</sup> or waist circumference ≥88 cm. Metabolically healthy was based on <2 and metabolically unhealthy ≥2 traits: triglycerides ≥150 mg/dl, systolic blood pressure (BP) ≥130 mmHg or diastolic BP ≥85 mmHg or antihypertensives or diuretics, fasting glucose ≥100 mg/dl or diabetes medication, and high-density lipoprotein cholesterol <50 mg/dl. Polytomous multinomial logistic regression with generalized link logit function provided the odds of metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUHNW), metabolically healthy overweight/obese (MHO), and metabolically unhealthy overweight/obese (MUHO) according to demographic and risk factor measures.</p><p><strong>Results: </strong>Among the 19 412 postmenopausal women, 2369 (12.2%) participants had prevalent diabetes. Advanced age was associated with an increased odds of MUHNW as compared with the MHNW after adjusting for covariates [odds ratio (OR) 1.04, <i>P</i> < 0.0001]. Black/African American ethnicity was associated with a decreased odds of MUHNW (OR 0.64, <i>P</i> < 0.0001) and MUHO (OR 0.77, <i>P</i> = 0.0004), while an increased odds for MHO (OR 1.50, <i>P</i> < 0.0001) as compared with White MHNW.</p><p><strong>Conclusions: </strong>Advanced age and ethnicity are important indicators of metabolic weight categories among postmenopausal women.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2020-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/XCE.0000000000000194","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiovascular Endocrinology & Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/XCE.0000000000000194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/6/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 2
Abstract
To identify sociodemographic and metabolic correlates of weight categories in postmenopausal women.
Methods: The Women's Health Initiative enrolled 161 808 postmenopausal women ages 50-79. We included those free of cardiovascular disease (CVD) and with CVD risk factors and biomarkers (n = 19 412). Normal weight was defined as a BMI ≥18.5 and <25 kg/m2 and waist circumference <88 cm and overweight/obesity as a BMI ≥25 kg/m2 or waist circumference ≥88 cm. Metabolically healthy was based on <2 and metabolically unhealthy ≥2 traits: triglycerides ≥150 mg/dl, systolic blood pressure (BP) ≥130 mmHg or diastolic BP ≥85 mmHg or antihypertensives or diuretics, fasting glucose ≥100 mg/dl or diabetes medication, and high-density lipoprotein cholesterol <50 mg/dl. Polytomous multinomial logistic regression with generalized link logit function provided the odds of metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUHNW), metabolically healthy overweight/obese (MHO), and metabolically unhealthy overweight/obese (MUHO) according to demographic and risk factor measures.
Results: Among the 19 412 postmenopausal women, 2369 (12.2%) participants had prevalent diabetes. Advanced age was associated with an increased odds of MUHNW as compared with the MHNW after adjusting for covariates [odds ratio (OR) 1.04, P < 0.0001]. Black/African American ethnicity was associated with a decreased odds of MUHNW (OR 0.64, P < 0.0001) and MUHO (OR 0.77, P = 0.0004), while an increased odds for MHO (OR 1.50, P < 0.0001) as compared with White MHNW.
Conclusions: Advanced age and ethnicity are important indicators of metabolic weight categories among postmenopausal women.