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

Geoffrey C. Kabat, Moonseong Heo, Linda V. Van Horn, Rasa Kazlauskaite, Asqual Getaneh, Jamy Ard, Mara Z. Vitolins, Molly E. Waring, Oleg Zaslavsky, Sylvia Wassertheil-Smoller, Thomas E. Rohan

Research output: Contribution to journalArticle

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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 12.8years 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.

Original languageEnglish (US)
Pages (from-to)896-902
Number of pages7
JournalAnnals of Epidemiology
Volume24
Issue number12
DOIs
StatePublished - Dec 1 2014

Fingerprint

Adiposity
Waist Circumference
Body Mass Index
Waist-Hip Ratio
HDL Cholesterol
Glucose
Triglycerides
Serum
Abdominal Obesity
Women's Health
LDL Cholesterol
Blood Glucose
Linear Models
Fasting
Cholesterol
Regression Analysis
Insulin

Keywords

  • Anthropometric measures
  • Cardiometabolic risk factors
  • Insulin resistance
  • Obesity

ASJC Scopus subject areas

  • Epidemiology
  • Medicine(all)

Cite this

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

In: Annals of Epidemiology, Vol. 24, No. 12, 01.12.2014, p. 896-902.

Research output: Contribution to journalArticle

Kabat, GC, Heo, M, Van Horn, LV, Kazlauskaite, R, Getaneh, A, Ard, J, Vitolins, MZ, Waring, ME, Zaslavsky, O, Wassertheil-Smoller, S & Rohan, TE 2014, 'Longitudinal association of anthropometric measures of adiposity with cardiometabolic risk factors in postmenopausal women', Annals of Epidemiology, vol. 24, no. 12, pp. 896-902. https://doi.org/10.1016/j.annepidem.2014.10.007
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. / Longitudinal association of anthropometric measures of adiposity with cardiometabolic risk factors in postmenopausal women. In: Annals of Epidemiology. 2014 ; Vol. 24, No. 12. pp. 896-902.
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T1 - Longitudinal association of anthropometric measures of adiposity with cardiometabolic risk factors in postmenopausal women

AU - Kabat, Geoffrey C.

AU - Heo, Moonseong

AU - Van Horn, Linda V.

AU - Kazlauskaite, Rasa

AU - Getaneh, Asqual

AU - Ard, Jamy

AU - Vitolins, Mara Z.

AU - Waring, Molly E.

AU - Zaslavsky, Oleg

AU - Wassertheil-Smoller, Sylvia

AU - Rohan, Thomas E.

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N2 - 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 12.8years 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.

AB - 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 12.8years 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.

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KW - Cardiometabolic risk factors

KW - Insulin resistance

KW - Obesity

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