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Surface-Based Body Shape Index and Its Relationship with All-Cause Mortality
BACKGROUND: Obesity is a global public health challenge. In the US, for instance, obesity prevalence remains high at more than one-third of the adult population, while over two-thirds are obese or overweight. Obesity is associated with various health problems, such as diabetes, cardiovascular diseas...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692532/ https://www.ncbi.nlm.nih.gov/pubmed/26709925 http://dx.doi.org/10.1371/journal.pone.0144639 |
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author | Rahman, Syed Ashiqur Adjeroh, Donald |
author_facet | Rahman, Syed Ashiqur Adjeroh, Donald |
author_sort | Rahman, Syed Ashiqur |
collection | PubMed |
description | BACKGROUND: Obesity is a global public health challenge. In the US, for instance, obesity prevalence remains high at more than one-third of the adult population, while over two-thirds are obese or overweight. Obesity is associated with various health problems, such as diabetes, cardiovascular diseases (CVDs), depression, some forms of cancer, sleep apnea, osteoarthritis, among others. The body mass index (BMI) is one of the best known measures of obesity. The BMI, however, has serious limitations, for instance, its inability to capture the distribution of lean mass and adipose tissue, which is a better predictor of diabetes and CVDs, and its curved (“U-shaped”) relationship with mortality hazard. Other anthropometric measures and their relation to obesity have been studied, each with its advantages and limitations. In this work, we introduce a new anthropometric measure (called Surface-based Body Shape Index, SBSI) that accounts for both body shape and body size, and evaluate its performance as a predictor of all-cause mortality. METHODS AND FINDINGS: We analyzed data on 11,808 subjects (ages 18–85), from the National Health and Human Nutrition Examination Survey (NHANES) 1999–2004, with 8-year mortality follow up. Based on the analysis, we introduce a new body shape index constructed from four important anthropometric determinants of body shape and body size: body surface area (BSA), vertical trunk circumference (VTC), height (H) and waist circumference (WC). The surface-based body shape index (SBSI) is defined as follows: (1). [Image: see text] SBSI has negative correlation with BMI and weight respectively, no correlation with WC, and shows a generally linear relationship with age. Results on mortality hazard prediction using both the Cox proportionality model, and Kaplan-Meier curves each show that SBSI outperforms currently popular body shape indices (e.g., BMI, WC, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), A Body Shape Index (ABSI)) in predicting all-cause mortality. CONCLUSIONS: We combine measures of both body shape and body size to construct a novel anthropometric measure, the surface-based body shape index (SBSI). SBSI is generally linear with age, and increases with increasing mortality, when compared with other popular anthropometric indices of body shape. |
format | Online Article Text |
id | pubmed-4692532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46925322016-01-12 Surface-Based Body Shape Index and Its Relationship with All-Cause Mortality Rahman, Syed Ashiqur Adjeroh, Donald PLoS One Research Article BACKGROUND: Obesity is a global public health challenge. In the US, for instance, obesity prevalence remains high at more than one-third of the adult population, while over two-thirds are obese or overweight. Obesity is associated with various health problems, such as diabetes, cardiovascular diseases (CVDs), depression, some forms of cancer, sleep apnea, osteoarthritis, among others. The body mass index (BMI) is one of the best known measures of obesity. The BMI, however, has serious limitations, for instance, its inability to capture the distribution of lean mass and adipose tissue, which is a better predictor of diabetes and CVDs, and its curved (“U-shaped”) relationship with mortality hazard. Other anthropometric measures and their relation to obesity have been studied, each with its advantages and limitations. In this work, we introduce a new anthropometric measure (called Surface-based Body Shape Index, SBSI) that accounts for both body shape and body size, and evaluate its performance as a predictor of all-cause mortality. METHODS AND FINDINGS: We analyzed data on 11,808 subjects (ages 18–85), from the National Health and Human Nutrition Examination Survey (NHANES) 1999–2004, with 8-year mortality follow up. Based on the analysis, we introduce a new body shape index constructed from four important anthropometric determinants of body shape and body size: body surface area (BSA), vertical trunk circumference (VTC), height (H) and waist circumference (WC). The surface-based body shape index (SBSI) is defined as follows: (1). [Image: see text] SBSI has negative correlation with BMI and weight respectively, no correlation with WC, and shows a generally linear relationship with age. Results on mortality hazard prediction using both the Cox proportionality model, and Kaplan-Meier curves each show that SBSI outperforms currently popular body shape indices (e.g., BMI, WC, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), A Body Shape Index (ABSI)) in predicting all-cause mortality. CONCLUSIONS: We combine measures of both body shape and body size to construct a novel anthropometric measure, the surface-based body shape index (SBSI). SBSI is generally linear with age, and increases with increasing mortality, when compared with other popular anthropometric indices of body shape. Public Library of Science 2015-12-28 /pmc/articles/PMC4692532/ /pubmed/26709925 http://dx.doi.org/10.1371/journal.pone.0144639 Text en © 2015 Rahman, Adjeroh http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Rahman, Syed Ashiqur Adjeroh, Donald Surface-Based Body Shape Index and Its Relationship with All-Cause Mortality |
title | Surface-Based Body Shape Index and Its Relationship with All-Cause Mortality |
title_full | Surface-Based Body Shape Index and Its Relationship with All-Cause Mortality |
title_fullStr | Surface-Based Body Shape Index and Its Relationship with All-Cause Mortality |
title_full_unstemmed | Surface-Based Body Shape Index and Its Relationship with All-Cause Mortality |
title_short | Surface-Based Body Shape Index and Its Relationship with All-Cause Mortality |
title_sort | surface-based body shape index and its relationship with all-cause mortality |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692532/ https://www.ncbi.nlm.nih.gov/pubmed/26709925 http://dx.doi.org/10.1371/journal.pone.0144639 |
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