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Obesity (Silver Spring). 2014 May;22(5):E149-56. doi: 10.1002/oby.20618. Epub 2013 Oct 16.

Use of quantile regression to investigate the longitudinal association between physical activity and body mass index.

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  • 1Division of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

Abstract

OBJECTIVE:

To examine associations among age, physical activity (PA), and birth cohort on body mass index (BMI) percentiles in men.

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 10th 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 10th percentile increased by 0.081 kg/m(2) per birth year and by 0.180 kg/m(2) at the 90th 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 The Obesity Society.

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