Literature DB >> 16988088

Dietary patterns and changes in body weight in women.

Matthias B Schulze1, Teresa T Fung, Joann E Manson, Walter C Willett, Frank B Hu.   

Abstract

OBJECTIVE: Our objective was to examine the association between adherence to dietary patterns and weight change in women. RESEARCH METHODS AND PROCEDURES: Women (51,670, 26 to 46 years old) in the Nurses' Health Study II were followed from 1991 to 1999. Dietary intake and body weight were ascertained in 1991, 1995, and 1999. A Western pattern, characterized by high intakes of red and processed meats, refined grains, sweets and desserts, and potatoes, and a prudent pattern, characterized by high intakes of fruits, vegetables, whole grains, fish, poultry, and salad dressing, were identified with principal component analysis, and associations between patterns and change in body weight were estimated.
RESULTS: Women who increased their Western pattern score had greater weight gain (multivariate adjusted means, 4.55 kg for 1991 to 1995 and 2.86 kg for 1995 to 1999) than women who decreased their Western pattern score (2.70 and 1.37 kg for the two time periods), adjusting for baseline lifestyle and dietary confounders and changes in confounders over time (p < 0.001 for both time periods). Furthermore, among women who increased their prudent pattern score, weight gain was smaller (multivariate-adjusted means, 1.93 kg for 1991 to 1995 and 0.66 kg for 1995 to 1999) than among women who decreased their prudent pattern score (4.83 and 3.35 kg for the two time periods) (p < 0.001). The largest weight gain between 1991 and 1995 and between 1995 and 1999 was observed among women who decreased their prudent pattern score while increasing their Western pattern score (multivariate adjusted means, 6.80 and 4.99 kg), whereas it was smallest for the opposite change in patterns (0.87 and -0.64 kg) (p < 0.001). DISCUSSION: Adoption of a Western dietary pattern is associated with larger weight gain in women, whereas a prudent dietary pattern may facilitate weight maintenance.

Entities:  

Mesh:

Year:  2006        PMID: 16988088     DOI: 10.1038/oby.2006.164

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  71 in total

1.  Food Classification Systems Based on Food Processing: Significance and Implications for Policies and Actions: A Systematic Literature Review and Assessment.

Authors:  Jean-Claude Moubarac; Diana C Parra; Geoffrey Cannon; Carlos A Monteiro
Journal:  Curr Obes Rep       Date:  2014-06

2.  Dietary patterns and weight change: 15-year longitudinal study in Australian adults.

Authors:  Simin Arabshahi; Torukiri I Ibiebele; Maria Celia B Hughes; Petra H Lahmann; Gail M Williams; Jolieke C van der Pols
Journal:  Eur J Nutr       Date:  2016-02-26       Impact factor: 5.614

3.  Higher Intake of Fruit, but Not Vegetables or Fiber, at Baseline Is Associated with Lower Risk of Becoming Overweight or Obese in Middle-Aged and Older Women of Normal BMI at Baseline.

Authors:  Susanne Rautiainen; Lu Wang; I-Min Lee; JoAnn E Manson; Julie E Buring; Howard D Sesso
Journal:  J Nutr       Date:  2015-02-18       Impact factor: 4.798

Review 4.  Optimal dietary approaches for prevention of type 2 diabetes: a life-course perspective.

Authors:  A E Buyken; P Mitchell; A Ceriello; J Brand-Miller
Journal:  Diabetologia       Date:  2010-01-05       Impact factor: 10.122

5.  Dietary patterns are associated with metabolic syndrome in adult Samoans.

Authors:  Julia R DiBello; Stephen T McGarvey; Peter Kraft; Robert Goldberg; Hannia Campos; Christine Quested; Tuiasina Salamo Laumoli; Ana Baylin
Journal:  J Nutr       Date:  2009-08-26       Impact factor: 4.798

6.  The CHANGE study: a healthy-lifestyles intervention to improve rural children's diet quality.

Authors:  Juliana F W Cohen; Vivica I Kraak; Silvina F Choumenkovitch; Raymond R Hyatt; Christina D Economos
Journal:  J Acad Nutr Diet       Date:  2013-10-11       Impact factor: 4.910

7.  Reproducibility of A Posteriori Dietary Patterns across Time and Studies: A Scoping Review.

Authors:  Valeria Edefonti; Roberta De Vito; Andrea Salvatori; Francesca Bravi; Linia Patel; Michela Dalmartello; Monica Ferraroni
Journal:  Adv Nutr       Date:  2020-09-01       Impact factor: 8.701

8.  Latent transition models to study women's changing of dietary patterns from pregnancy to 1 year postpartum.

Authors:  Daniela Sotres-Alvarez; Amy H Herring; Anna-Maria Siega-Riz
Journal:  Am J Epidemiol       Date:  2013-03-28       Impact factor: 4.897

9.  No association between blood telomere length and longitudinally assessed diet or adiposity in a young adult Filipino population.

Authors:  Hilary J Bethancourt; Mario Kratz; Shirley A A Beresford; M Geoffrey Hayes; Christopher W Kuzawa; Paulita L Duazo; Judith B Borja; Daniel T A Eisenberg
Journal:  Eur J Nutr       Date:  2015-10-26       Impact factor: 5.614

10.  Cross-sectional association of dietary patterns with insulin-resistant phenotypes among adults without diabetes in the Framingham Offspring Study.

Authors:  Enju Liu; Nicola M McKeown; P K Newby; James B Meigs; Ramachandran S Vasan; Paula A Quatromoni; Ralph B D'Agostino; Paul F Jacques
Journal:  Br J Nutr       Date:  2009-02-16       Impact factor: 3.718

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.