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Dietary patterns predict the development of overweight in women: The Framingham Nutrition Studies.
J Am Diet Assoc. 2002 Sep; 102(9):1239-46.JA

Abstract

OBJECTIVE

To investigate relationships between dietary patterns and the development of overweight.

DESIGN

Longitudinal analyses during 12 years of follow-up involved the identification of dietary patterns at baseline using cluster analysis applied to a 145-item semiquantitative food frequency questionnaire.

SUBJECTS/SETTING

737 non-overweight women in the Framingham Offspring/Spouse cohort (mean age, 45 years).

MAIN OUTCOME MEASURE

Development of overweight (BMI> or =25) at follow-up.

STATISTICAL ANALYSES

Relative risks were calculated using Proc Genmod and multivariate models comprehensively considered potential confounders.

RESULTS

Five dietary patterns were identified among the cohort at baseline: Heart Healthy, Light Eating, Wine and Moderate Eating, High Fat, and Empty Calorie. Over 12 years, the crude risk of becoming overweight was 29% overall, ranging from 22% of women in the Wine and Moderate Eating cluster to 41% of women in the Empty Calorie cluster. Compared with women who ate a lower-fat, nutritionally varied Heart Healthy diet, women who ate an Empty Calorie diet that was rich in sweets and fats with fewer servings of nutrient-dense fruits, vegetables, and lean food choices were at higher risk for developing overweight [RR 1.4, 95% CI (0.9, 2.2)] after adjusting for age, smoking status, physical activity, menopausal status, energy intake, intentional dieting, and usual weight pattern. Women who ate an Empty Calorie dietary pattern were also younger and were more likely to smoke.

CONCLUSIONS

Behavioral interventions for weight management and obesity prevention may be enhanced by creatively targeting differences in eating patterns, dietary quality, and other lifestyle behaviors of distinct subgroups of the population.

Authors+Show Affiliations

Framingham Nutrition Studies, Department of Social and Behavioral Sciences, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA.No affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.

Language

eng

PubMed ID

12792620

Citation

Quatromoni, Paula A., et al. "Dietary Patterns Predict the Development of Overweight in Women: the Framingham Nutrition Studies." Journal of the American Dietetic Association, vol. 102, no. 9, 2002, pp. 1239-46.
Quatromoni PA, Copenhafer DL, D'Agostino RB, et al. Dietary patterns predict the development of overweight in women: The Framingham Nutrition Studies. J Am Diet Assoc. 2002;102(9):1239-46.
Quatromoni, P. A., Copenhafer, D. L., D'Agostino, R. B., & Millen, B. E. (2002). Dietary patterns predict the development of overweight in women: The Framingham Nutrition Studies. Journal of the American Dietetic Association, 102(9), 1239-46.
Quatromoni PA, et al. Dietary Patterns Predict the Development of Overweight in Women: the Framingham Nutrition Studies. J Am Diet Assoc. 2002;102(9):1239-46. PubMed PMID: 12792620.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Dietary patterns predict the development of overweight in women: The Framingham Nutrition Studies. AU - Quatromoni,Paula A, AU - Copenhafer,Donna L, AU - D'Agostino,Ralph B, AU - Millen,Barbara E, PY - 2003/6/7/pubmed PY - 2004/9/24/medline PY - 2003/6/7/entrez SP - 1239 EP - 46 JF - Journal of the American Dietetic Association JO - J Am Diet Assoc VL - 102 IS - 9 N2 - OBJECTIVE: To investigate relationships between dietary patterns and the development of overweight. DESIGN: Longitudinal analyses during 12 years of follow-up involved the identification of dietary patterns at baseline using cluster analysis applied to a 145-item semiquantitative food frequency questionnaire. SUBJECTS/SETTING: 737 non-overweight women in the Framingham Offspring/Spouse cohort (mean age, 45 years). MAIN OUTCOME MEASURE: Development of overweight (BMI> or =25) at follow-up. STATISTICAL ANALYSES: Relative risks were calculated using Proc Genmod and multivariate models comprehensively considered potential confounders. RESULTS: Five dietary patterns were identified among the cohort at baseline: Heart Healthy, Light Eating, Wine and Moderate Eating, High Fat, and Empty Calorie. Over 12 years, the crude risk of becoming overweight was 29% overall, ranging from 22% of women in the Wine and Moderate Eating cluster to 41% of women in the Empty Calorie cluster. Compared with women who ate a lower-fat, nutritionally varied Heart Healthy diet, women who ate an Empty Calorie diet that was rich in sweets and fats with fewer servings of nutrient-dense fruits, vegetables, and lean food choices were at higher risk for developing overweight [RR 1.4, 95% CI (0.9, 2.2)] after adjusting for age, smoking status, physical activity, menopausal status, energy intake, intentional dieting, and usual weight pattern. Women who ate an Empty Calorie dietary pattern were also younger and were more likely to smoke. CONCLUSIONS: Behavioral interventions for weight management and obesity prevention may be enhanced by creatively targeting differences in eating patterns, dietary quality, and other lifestyle behaviors of distinct subgroups of the population. SN - 0002-8223 UR - https://www.unboundmedicine.com/medline/citation/12792620/Dietary_patterns_predict_the_development_of_overweight_in_women:_The_Framingham_Nutrition_Studies_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0002822302902750 DB - PRIME DP - Unbound Medicine ER -