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    Longitudinal association of anthropometric measures of adiposity with cardiometabolic risk factors in postmenopausal women

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    Authors
    Kabat, Geoffrey C.
    Heo, Moonseong
    Van Horn, Linda V.
    Kazlauskaite, Rasa
    Getaneh, Asqual
    Ard, Jamy
    Vitolins, Mara Z.
    Waring, Molly E.
    Zaslavsky, Oleg
    Wassertheil-Smoller, Sylvia
    Rohan, Thomas E.
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    UMass Chan Affiliations
    Department of Quantitative Health Sciences
    Document Type
    Journal Article
    Publication Date
    2014-12-01
    Keywords
    UMCCTS funding
    Clinical Epidemiology
    Epidemiology
    Women's Health
    
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    Link to Full Text
    http://dx.doi.org/10.1016/j.annepidem.2014.10.007
    Abstract
    PURPOSE: Some studies suggest that anthropometric measures of abdominal obesity may be superior to body mass index (BMI) for the prediction of cardiometabolic risk factors; however, most studies have been cross-sectional. Our aim was to prospectively examine the association of change in BMI, waist-to-hip ratio (WHR), waist circumference (WC), and waist circumference-to-height ratio (WCHtR) with change in markers of cardiometabolic risk in a population of postmenopausal women. METHODS: We used a subsample of participants in the Women's Health Initiative aged 50 to 79 years at entry with available fasting blood samples and anthropometric measurements obtained at multiple time points over 12.8 years of follow-up (n = 2672). The blood samples were used to measure blood glucose, insulin, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol (HDL-C), and triglycerides at baseline, and at years 1, 3, and 6. We conducted mixed-effects linear regression analyses to examine associations at baseline and longitudinal associations between change in anthropometric measures and change in cardiometabolic risk factors, adjusting for covariates. RESULTS: In longitudinal analyses, change in BMI, WC, and WCHtR robustly predicted change in cardiometabolic risk, whereas change in WHR did not. The strongest associations were seen for change in triglycerides, glucose, and HDL-C (inverse association). CONCLUSION: Increase in BMI, WC, and WCHtR strongly predicted increases in serum triglycerides and glucose, and reduced HDL-C. WC and WCHtR were superior to BMI in predicting serum glucose, HDL-C, and triglycerides. WCHtR was superior to WC only in predicting serum glucose. BMI, WC, and WCHtR were all superior to WHR.
    Source

    Ann Epidemiol. 2014 Dec;24(12):896-902. Link to article on publisher's site

    DOI
    10.1016/j.annepidem.2014.10.007
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/46685
    PubMed ID
    25453348
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    Link to Article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.1016/j.annepidem.2014.10.007
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    Population and Quantitative Health Sciences Publications
    UMass Center for Clinical and Translational Science Supported Publications

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