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Dietary patterns and 14-y weight gain in African American women

Authors :
Lucile L. Adams-Campbell
Donna Spiegelman
Deborah A. Boggs
Lynn Rosenberg
Meir J. Stampfer
Julie R. Palmer
Source :
The American Journal of Clinical Nutrition. 94:86-94
Publication Year :
2011
Publisher :
Elsevier BV, 2011.

Abstract

Background: An inverse association between healthy dietary patterns and weight gain that has been shown in white populations is not evident in the few studies in African Americans, a population at high risk of obesity. Objective: We prospectively assessed dietary patterns in relation to weight gain in African American women. Design: The study included 41,351 women aged 21–54 y at enrollment in 1995 in the Black Women’s Health Study. Participants reported dietary intake in 1995 and 2001 and current weight every 2 y through mailed questionnaires. By using factor analysis, 2 major dietary patterns were identified: a “vegetables/fruit” pattern and a “meat/fried foods” pattern. Multivariable mixed linear regression models were used to estimate mean weight gain in 14 y of follow-up according to each dietary pattern. Results: Among women who maintained similar dietary patterns in 1995 and 2001, the vegetables/fruit pattern was associated with significantlylessweightgainover14y(10.88and11.94kginthehighest and lowest quintiles, respectively; P for trend = 0.003), whereas the meat/fried foods pattern was associated with significantly greater weight gain (12.02 and 10.15 kg in the highest and lowest quintiles, respectively; P for trend , 0.001). The associations were stronger among women aged ,35 y, whose weight gain was greatest. Conclusion: These findings are the first to indicate that African American women may be better able to achieve long-term weight maintenance by consuming a diet high in vegetables and fruit and low in red meat and fried foods. Am J Clin Nutr 2011;94:86–94.

Details

ISSN :
00029165
Volume :
94
Database :
OpenAIRE
Journal :
The American Journal of Clinical Nutrition
Accession number :
edsair.doi...........bcca3b94bda93e3a05544cb74d94319e