Disentangling basal and accumulated body mass for cross‐population comparisons

Datos Bibliográficos

ID8313377
AutoresDaniel J Hruschka (0000-0003-2188-7782, School of Human Evolution and Social Change Arizona State University Tempe AZ 85287‐2402, autor de correspondencia), Craig Hadley (0000-0001-8120-6665, Department of Anthropology Emory University Atlanta GA), Alexandra Brewis (0000-0003-3769-4205, School of Human Evolution and Social Change Arizona State University Tempe AZ 85287‐2402)
Año2014
Volumen153
Número4
Páginas542-550
Fecha de publicación2014-04-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaAmerican Journal of Physical Anthropology (JOURNAL)
Identificadores de la revistaISSN: 0002-9483 • E-ISSN: 1096-8644
EditorialWiley (PUBLISHER • GB)
DOI10.1002/ajpa.22452
PMID24374912
OpenAlexW2162844376
IdiomaEN
Citas recibidas26
Referencias citadas34

Measures of human body mass confound 1) well‐established population differences in body form and 2) exposure to obesogenic environments, posing challenges for using body mass index (BMI) in cross‐population studies of body form, energy reserves, and obesity‐linked disease risk. We propose a method for decomposing population BMI by estimating basal BMI (bBMI) among young adults living in extremely poor, rural households where excess body mass accumulation is uncommon. We test this method with nationally representative, cross‐sectional Demographic and Health Surveys (DHS) collected from 69,916 rural women (20–24 years) in 47 low‐income countries. Predicting BMI by household wealth, we estimate country‐level bBMI as the average BMI of young women (20–24 years) living in rural households with total assets −2 ) is reliable across decades and age groups ( R 2 = 0.83–0.88). Country‐level estimates of bBMI show no relation to diabetes prevalence or country‐level GDP ( R 2 R 2 = 0.55 vs. 0.40) and diabetes prevalence ( R 2 = 0.23 vs. 0.17) than does conventional BMI. This method produces reliable estimates of bBMI across a wide range of nationally representative samples, providing a new approach to investigating population variation in body mass. Am J Phys Anthropol 153:542–550, 2014. © 2013 Wiley Periodicals, Inc

Body mass index · Geography · Nutrition transition · Obesity · Overweight · Per capita · Population · Birth, Development, and Health · Demography · Endocrinology · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Gerontology