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Novel and established anthropometric measures and the prediction of incident cardiovascular disease: a cohort study
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics.
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2013 (English)In: International Journal of Obesity, ISSN 0307-0565, E-ISSN 1476-5497, Vol. 37, no 12, 1579-1585 p.Article in journal (Refereed) Published
Abstract [en]

OBJECTIVES: The aim of this study was to compare novel and established anthropometrical measures in their ability to predict cardiovascular disease (CVD), and to determine whether they improve risk prediction beyond classical risk factors in a cohort study of 60-year-old men and women. We also stratified the results according to gender to identify possible differences between men and women. Furthermore, we aimed to replicate our findings in a large independent cohort (The Malmo Diet and Cancer study-cardiovascular cohort). METHODS: This was a population-based study of 1751 men and 1990 women, aged 60 years and without CVD at baseline, with 375 incident cases of CVD during 11 years of follow-up. Weight, height, waist circumference (WC), hip circumference and sagittal abdominal diameter (SAD) were measured at baseline. Body mass index (BMI), waist-hip ratio (WHR), waist-hip-height ratio (WHHR), WC-to-height ratio (WCHR) and SAD-to-height ratio (SADHR) were calculated. RESULTS: All anthropometric measures predicted CVD in unadjusted Cox regression models per s.d. increment (hazard ratios, 95% confidence interval), while significant associations after adjustments for established risk CVD factors were noted for WHHR 1.20 (1.08-1.33), WHR 1.14 (1.02-1.28), SAD 1.13 (1.02-1.25) and SADHR 1.17 (1.06-1.28). WHHR had higher increases in C-statistics, and model improvements (likelihood ratio tests (P<0.001)). In the replication study (MDC-CC, n = 5180), WHHR was the only measure that improved Cox regression models in men (P = 0.01). CONCLUSION: WHHR, a new measure reflecting body fat distribution, showed the highest risk estimates after adjustments for established CVD risk factors. These findings were verified in men but not women in an independent cohort.

Place, publisher, year, edition, pages
2013. Vol. 37, no 12, 1579-1585 p.
Keyword [en]
waist circumference, sagittal abdominal diameter, waist-hip ratio, waist-hip-height ratio, WC-to-height ratio, SAD-to-height ratio
National Category
Medical and Health Sciences
URN: urn:nbn:se:uu:diva-215928DOI: 10.1038/ijo.2013.46ISI: 000328456200010OAI: oai:DiVA.org:uu-215928DiVA: diva2:689090
Available from: 2014-01-20 Created: 2014-01-17 Last updated: 2014-01-20Bibliographically approved

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Risérus, UlfÄrnlöv, Johan
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