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Use of Quantile Regression to Investigate the Longitudinal Association between Physical Activity and Body Mass Index
OBJECTIVE: To examine associations among age, physical activity (PA), and birth cohort on body mass index (BMI) percentiles in men. DESIGN AND METHODS: Longitudinal analyses using quantile regression were conducted among men with ≥ two examinations between 1970 and 2006 from the Aerobics Center Long...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3954962/ https://www.ncbi.nlm.nih.gov/pubmed/24039223 http://dx.doi.org/10.1002/oby.20618 |
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author | Bottai, Matteo Frongillo, Edward A. Sui, Xuemei O’Neill, Jennifer R. McKeown, Robert E. Burns, Trudy L. Liese, Angela D. Blair, Steven N. Pate, Russell R. |
author_facet | Bottai, Matteo Frongillo, Edward A. Sui, Xuemei O’Neill, Jennifer R. McKeown, Robert E. Burns, Trudy L. Liese, Angela D. Blair, Steven N. Pate, Russell R. |
author_sort | Bottai, Matteo |
collection | PubMed |
description | OBJECTIVE: To examine associations among age, physical activity (PA), and birth cohort on body mass index (BMI) percentiles in men. DESIGN AND METHODS: Longitudinal analyses using quantile regression were conducted among men with ≥ two examinations between 1970 and 2006 from the Aerobics Center Longitudinal Study (n=17,759). Height and weight were measured; men reported their PA and were categorized as inactive, moderately or highly active at each visit. Analyses allowed for longitudinal changes in PA. RESULTS: BMI was greater in older than younger men and in those born in 1960 than those born in 1940. Inactive men gained weight significantly more rapidly than active men. At the 10(th) percentile, increases in BMI among inactive, moderately active, and highly active men were 0.092, 0.078, and 0.069 kg/m(2) per year of age, respectively. The 10(th) percentile increased by 0.081 kg/m(2) per birth year and by 0.180 kg/m(2) at the 90(th) percentile, controlling for age. CONCLUSION: Although BMI increased with age, PA reduced the magnitude of the gradient among active compared to inactive men. Regular PA had an important, protective effect against weight gain. This study provides evidence of the utility of quantile regression to examine the specific causes of the obesity epidemic. |
format | Online Article Text |
id | pubmed-3954962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
record_format | MEDLINE/PubMed |
spelling | pubmed-39549622014-11-01 Use of Quantile Regression to Investigate the Longitudinal Association between Physical Activity and Body Mass Index Bottai, Matteo Frongillo, Edward A. Sui, Xuemei O’Neill, Jennifer R. McKeown, Robert E. Burns, Trudy L. Liese, Angela D. Blair, Steven N. Pate, Russell R. Obesity (Silver Spring) Article OBJECTIVE: To examine associations among age, physical activity (PA), and birth cohort on body mass index (BMI) percentiles in men. DESIGN AND METHODS: Longitudinal analyses using quantile regression were conducted among men with ≥ two examinations between 1970 and 2006 from the Aerobics Center Longitudinal Study (n=17,759). Height and weight were measured; men reported their PA and were categorized as inactive, moderately or highly active at each visit. Analyses allowed for longitudinal changes in PA. RESULTS: BMI was greater in older than younger men and in those born in 1960 than those born in 1940. Inactive men gained weight significantly more rapidly than active men. At the 10(th) percentile, increases in BMI among inactive, moderately active, and highly active men were 0.092, 0.078, and 0.069 kg/m(2) per year of age, respectively. The 10(th) percentile increased by 0.081 kg/m(2) per birth year and by 0.180 kg/m(2) at the 90(th) percentile, controlling for age. CONCLUSION: Although BMI increased with age, PA reduced the magnitude of the gradient among active compared to inactive men. Regular PA had an important, protective effect against weight gain. This study provides evidence of the utility of quantile regression to examine the specific causes of the obesity epidemic. 2013-10-16 2014-05 /pmc/articles/PMC3954962/ /pubmed/24039223 http://dx.doi.org/10.1002/oby.20618 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Bottai, Matteo Frongillo, Edward A. Sui, Xuemei O’Neill, Jennifer R. McKeown, Robert E. Burns, Trudy L. Liese, Angela D. Blair, Steven N. Pate, Russell R. Use of Quantile Regression to Investigate the Longitudinal Association between Physical Activity and Body Mass Index |
title | Use of Quantile Regression to Investigate the Longitudinal Association between Physical Activity and Body Mass Index |
title_full | Use of Quantile Regression to Investigate the Longitudinal Association between Physical Activity and Body Mass Index |
title_fullStr | Use of Quantile Regression to Investigate the Longitudinal Association between Physical Activity and Body Mass Index |
title_full_unstemmed | Use of Quantile Regression to Investigate the Longitudinal Association between Physical Activity and Body Mass Index |
title_short | Use of Quantile Regression to Investigate the Longitudinal Association between Physical Activity and Body Mass Index |
title_sort | use of quantile regression to investigate the longitudinal association between physical activity and body mass index |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3954962/ https://www.ncbi.nlm.nih.gov/pubmed/24039223 http://dx.doi.org/10.1002/oby.20618 |
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