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

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 significantly less weight gain over 14 y (10.88 and 11.94 kg in the highest 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.

[1]  F. Hu,et al.  Adherence to the Mediterranean diet, long-term weight change, and incident overweight or obesity: the Seguimiento Universidad de Navarra (SUN) cohort. , 2010, The American journal of clinical nutrition.

[2]  F. Clavel-Chapelon,et al.  Mediterranean dietary patterns and prospective weight change in participants of the EPIC-PANACEA project. , 2010, The American journal of clinical nutrition.

[3]  D. Jacobs,et al.  Diet quality and weight gain among black and white young adults: the Coronary Artery Risk Development in Young Adults (CARDIA) Study (1985-2005). , 2010, The American journal of clinical nutrition.

[4]  K. Flegal,et al.  Prevalence and trends in obesity among US adults, 1999-2008. , 2010, JAMA.

[5]  M. Beydoun,et al.  Gender‐ethnic Disparity in BMI and Waist Circumference Distribution Shifts in US Adults , 2009, Obesity.

[6]  A. Fitzpatrick,et al.  Modifications to the Healthy Eating Index and its ability to predict obesity: the Multi-Ethnic Study of Atherosclerosis. , 2008, The American journal of clinical nutrition.

[7]  J. Stevens,et al.  Dietary Intake and the Development of the Metabolic Syndrome: The Atherosclerosis Risk in Communities Study , 2008, Circulation.

[8]  D. Moher,et al.  A comparison of direct vs. self‐report measures for assessing height, weight and body mass index: a systematic review , 2007, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[9]  B. Graubard,et al.  Trends in black-white differentials in dietary intakes of U.S. adults, 1971-2002. , 2007, American journal of preventive medicine.

[10]  A. Wolk,et al.  Longitudinal changes in food patterns predict changes in weight and body mass index and the effects are greatest in obese women. , 2006, The Journal of nutrition.

[11]  B. Rolls,et al.  Low-energy-density diets are associated with high diet quality in adults in the United States. , 2006, Journal of the American Dietetic Association.

[12]  J. Manson,et al.  Dietary Patterns and Changes in Body Weight in Women , 2006, Obesity.

[13]  M. Schulze,et al.  Methodological approaches to study dietary patterns in relation to risk of coronary heart disease and stroke , 2006, British Journal of Nutrition.

[14]  J. Palmer,et al.  Validation of physical activity instruments: Black Women's Health Study. , 2006, Ethnicity & disease.

[15]  N. Skolnik,et al.  Dietary Guidelines for Americans 2005 , 2005 .

[16]  D. Spiegelman,et al.  Influence of Body Size and Body Fat Distribution on Risk of Uterine Leiomyomata in U.S. Black Women , 2005, Epidemiology.

[17]  U. Nöthlings,et al.  Identification of a food pattern characterized by high-fiber and low-fat food choices associated with low prospective weight change in the EPIC-Potsdam cohort. , 2005, The Journal of nutrition.

[18]  B. Rolls,et al.  Dietary energy density determined by eight calculation methods in a nationally representative United States population. , 2005, The Journal of nutrition.

[19]  A. Drewnowski,et al.  Clarifying concepts about macronutrients' effects on satiation and satiety. , 2004, Journal of the American Dietetic Association.

[20]  A. Kant,et al.  Dietary patterns and health outcomes. , 2004, Journal of the American Dietetic Association.

[21]  Raymond J Carroll,et al.  Structure of dietary measurement error: results of the OPEN biomarker study. , 2003, American journal of epidemiology.

[22]  T. J. Sheehan,et al.  Rates of weight change for black and white Americans over a twenty year period , 2003, International Journal of Obesity.

[23]  J. Palmer,et al.  Relative validity of food frequency questionnaire nutrient estimates in the Black Women's Health Study. , 2003, Annals of epidemiology.

[24]  Frank B. Hu,et al.  Dietary pattern analysis: a new direction in nutritional epidemiology , 2002, Current opinion in lipidology.

[25]  T. Sørensen,et al.  Food intake patterns and body mass index in observational studies , 2001, International Journal of Obesity.

[26]  D R Jacobs,et al.  Weight gain continues in the 1990s: 10-year trends in weight and overweight from the CARDIA study. Coronary Artery Risk Development in Young Adults. , 2000, American journal of epidemiology.

[27]  D Feskanich,et al.  Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. , 1999, The American journal of clinical nutrition.

[28]  F. Floyd,et al.  Factor analysis in the development and refinement of clinical assessment instruments. , 1995 .

[29]  G Block,et al.  A Reduced Dietary Questionnaire: Development and Validation , 1990, Epidemiology.

[30]  R. Simon,et al.  Flexible regression models with cubic splines. , 1989, Statistics in medicine.

[31]  Meir J. Stampfer,et al.  Total energy intake: implications for epidemiologic analyses. , 1986, American journal of epidemiology.

[32]  D. Kleinbaum,et al.  Applied Regression Analysis and Other Multivariate Methods , 1978 .

[33]  Giles E. Hopkins,et al.  Applied Research Program , 1943 .