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Accepted (AM)Open Access (License Unspecified), Open
Journal article
A Risk Algorithm for Assessing Short-Term Mortality for Obese Black and White Men and Women
Obesity (Silver Spring, Md.), v 22(4), pp 1142-1148
01 Apr 2014
PMID: 24115735
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Objective: To develop and validate a mortality risk algorithm for obese black and white men and women to elucidate risk factors prognostic of short-term mortality among obese persons.
Methods: Prospective cohort study. Reasons for geographic and racial differences in stroke (REGARDS) study, is a cohort of black and white men and women aged >= 45 years. Obese (>= 30 kg m(-2)) participants in REGARDS (n=11 288) were randomly assigned to the derivation data set or an independent validation set.
Results: During the mean follow-up period of 4.9 years, 8.9% (n=504) in the derivation cohort and 8.7% (n=492) in the validation cohort died. The best-fitting model based on data from the derivation cohort included demographic (age, sex), coronary heart disease (CHD) conditions (diabetes, systolic blood pressure, history of CHD), health behaviors (smoking, physical activity, alcohol use), and socioeconomic variables (income, use of physician services). The C-statistic when the model was applied to the validation cohort was 0.80. Observed and predicted rates of mortality were similar across deciles of mortality risk by race.
Conclusions: A risk algorithm was established and validated to predict mortality among black and white obese subjects based on CHD risk factors, behavioral risk factors, and socioeconomic status.
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Details
- Title
- A Risk Algorithm for Assessing Short-Term Mortality for Obese Black and White Men and Women
- Creators
- Susan G. Lakoski - University of VermontHimel Mallick - University of Alabama at BirminghamLeslie A. McClure - University of Alabama at BirminghamMonika Safford - University of Alabama at BirminghamBrett Kissela - University of CincinnatiGeorge Howard - University of Alabama at BirminghamMary Cushman - University of Vermont
- Publication Details
- Obesity (Silver Spring, Md.), v 22(4), pp 1142-1148
- Publisher
- Wiley
- Number of pages
- 7
- Grant note
- R01HL080477 / NATIONAL HEART, LUNG, AND BLOOD INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) U01 NS041588 / National Institute of Neurological Disorders and Stroke, National Institutes of Health, Department of Health and Human Service; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS) UL1TR001425 / NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Advancing Translational Sciences (NCATS) P20MD006899 / National Institute on Minority Health and Health Disparities; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Minority Health & Health Disparities (NIMHD) U01NS041588 / NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000333666800025
- Scopus ID
- 2-s2.0-84897471390
- Other Identifier
- 991019231726204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Endocrinology & Metabolism
- Nutrition & Dietetics