Literature DB >> 7712363

Human body composition and the epidemiology of chronic disease.

R N Baumgartner1, S B Heymsfield, A F Roche.   

Abstract

Obesity and body fat distribution (FD) are established risk factors for chronic diseases. The body mass index (BMI) and the waist/hip circumference ratio (WHR) are used conventionally as indices of obesity and FD in epidemiological studies. Although some general limitations of these indices are recognized, others that affect their use in relative risks for disease are not well recognized. These include effects of sex, ethnicity, and especially age on the relationships between these indices and body composition, which can result in substantial misclassification of obesity and FD. There is considerable variability in body composition for any BMI, and some individuals with low BMIs have as much fat as those with high BMIs. This results in poor sensitivity for classifying levels of body fatness (e.g., too many "false negatives," or overweight individuals classified as not overweight), and relative risks are attenuated across all categories of BMI. A more serious problem, however, is that at different ages the same levels of BMI correspond to different amounts of fat and fat-free mass. Data from the Rosetta Study and the New Mexico Aging Process Study show that older adults have, on average, more fat than younger adults at any BMI, due to the loss of muscle mass with age. As a result, the sensitivity of BMI cutpoints with respect to body fatness decreases with age, and the use of a fixed cutpoint for all ages results in "differential misclassification bias." Taken together, these issues suggest that the increases with age in the prevalences of overweight and obesity, and in the risks for chronic diseases, may be mis-estimated using BMI. Similar issues may affect the use of WHR for estimating prevalences and associated risks of FD. New field methods for estimating body composition are available that can be applied in large, epidemiologic follow-up studies of chronic diseases. These methods will allow epidemiologists to consider, for example, whether it is increased fat, or the replacement of fat-free mass with fat, with age that is associated with risk for chronic disease.

Entities:  

Mesh:

Year:  1995        PMID: 7712363     DOI: 10.1002/j.1550-8528.1995.tb00124.x

Source DB:  PubMed          Journal:  Obes Res        ISSN: 1071-7323


  82 in total

1.  Body composition data for individuals 8 years of age and older: U.S. population, 1999-2004.

Authors:  Lori G Borrud; Katherine M Flegal; Anne C Looker; James E Everhart; Tamara B Harris; John A Shepherd
Journal:  Vital Health Stat 11       Date:  2010-04

2.  Coexistent Malnutrition Is Associated with Perturbations in Systemic and Antigen-Specific Cytokine Responses in Latent Tuberculosis Infection.

Authors:  Rajamanickam Anuradha; Saravanan Munisankar; Yukthi Bhootra; Nathalla Pavan Kumar; Chandrakumar Dolla; Paul Kumaran; Subash Babu
Journal:  Clin Vaccine Immunol       Date:  2016-04-04

3.  Childbearing may increase visceral adipose tissue independent of overall increase in body fat.

Authors:  Erica P Gunderson; Barbara Sternfeld; Melissa F Wellons; Rachel A Whitmer; Vicky Chiang; Charles P Quesenberry; Cora E Lewis; Stephen Sidney
Journal:  Obesity (Silver Spring)       Date:  2008-03-06       Impact factor: 5.002

Review 4.  Adiposity and Alzheimer's disease.

Authors:  José A Luchsinger; Deborah R Gustafson
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2009-01       Impact factor: 4.294

5.  Adipose Tissue Distribution and Cardiovascular Disease Risk Among Breast Cancer Survivors.

Authors:  Elizabeth M Cespedes Feliciano; Wendy Y Chen; Patrick T Bradshaw; Carla M Prado; Stacey Alexeeff; Kathleen B Albers; Adrienne L Castillo; Bette J Caan
Journal:  J Clin Oncol       Date:  2019-08-01       Impact factor: 44.544

Review 6.  The Importance of Body Composition in Explaining the Overweight Paradox in Cancer-Counterpoint.

Authors:  Bette J Caan; Elizabeth M Cespedes Feliciano; Candyce H Kroenke
Journal:  Cancer Res       Date:  2018-04-15       Impact factor: 12.701

7.  The Influence of Body Mass Index on Self-report and Performance-based Measures of Physical Function in Adult Women.

Authors:  Andrea L Hergenroeder; Jennifer S Brach; Amy D Otto; Patrick J Sparto; John M Jakicic
Journal:  Cardiopulm Phys Ther J       Date:  2011-09

8.  Pharmacotherapy for obesity.

Authors:  Mingfang Li; Bernard M Y Cheung
Journal:  Br J Clin Pharmacol       Date:  2009-12       Impact factor: 4.335

Review 9.  Adiposity, hyperinsulinemia, diabetes and Alzheimer's disease: an epidemiological perspective.

Authors:  José Alejandro Luchsinger
Journal:  Eur J Pharmacol       Date:  2008-03-04       Impact factor: 4.432

Review 10.  Metabolic syndrome and hepatocellular carcinoma: two growing epidemics with a potential link.

Authors:  Abby B Siegel; Andrew X Zhu
Journal:  Cancer       Date:  2009-12-15       Impact factor: 6.860

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.