Journal Article

Association between Eating Patterns and Obesity in a Free-living US Adult Population

Yunsheng Ma, Elizabeth R. Bertone, Edward J. Stanek, George W. Reed, James R. Hebert, Nancy L. Cohen, Philip A. Merriam and Ira S. Ockene

in American Journal of Epidemiology

Published on behalf of Johns Hopkins Bloomberg School of Public Health

Volume 158, issue 1, pages 85-92
Published in print July 2003 | ISSN: 0002-9262
Published online July 2003 | e-ISSN: 1476-6256 | DOI: http://dx.doi.org/10.1093/aje/kwg117
Association between Eating Patterns and Obesity in a Free-living US Adult Population

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Some studies have suggested that eating patterns, which describe eating frequency, the temporal distribution of eating events across the day, breakfast skipping, and the frequency of eating meals away from home, may be related to obesity. Data from the Seasonal Variation of Blood Cholesterol Study (1994–1998) were used to evaluate the relation between eating patterns and obesity. Three 24-hour dietary recalls and a body weight measurement were collected at five equally spaced time points over a 1-year period from 499 participants. Data were averaged for five time periods, and a cross-sectional analysis was conducted. Odds ratios were adjusted for other obesity risk factors including age, sex, physical activity, and total energy intake. Results indicate that a greater number of eating episodes each day was associated with a lower risk of obesity (odds ratio for four or more eating episodes vs. three or fewer = 0.55, 95% confidence interval: 0.33, 0.91). In contrast, skipping breakfast was associated with increased prevalence of obesity (odds ratio = 4.5, 95% confidence interval: 1.57, 12.90), as was greater frequency of eating breakfast or dinner away from home. Further investigation of these associations in prospective studies is warranted.

Keywords: eating; obesity; odds ratio; Abbreviations: CI, confidence interval; MET, metabolic equivalent; SD, standard deviation; SEASONS, Seasonal Variation of Blood Cholesterol Study.

Journal Article.  5850 words. 

Subjects: Public Health and Epidemiology

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