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Dietary patterns and weight change: 15-year longitudinal study in Australian adults.
Arabshahi, Simin; Ibiebele, Torukiri I; Hughes, Maria Celia B; Lahmann, Petra H; Williams, Gail M; van der Pols, Jolieke C.
Afiliação
  • Arabshahi S; Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Locked Bag 2000, Royal Brisbane Hospital, Brisbane, QLD, 4029, Australia. simin.arabshahi@gmail.com.
  • Ibiebele TI; The University of Queensland, School of Public Health, Herston, QLD, 4006, Australia. simin.arabshahi@gmail.com.
  • Hughes MCB; Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Locked Bag 2000, Royal Brisbane Hospital, Brisbane, QLD, 4029, Australia.
  • Lahmann PH; Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Locked Bag 2000, Royal Brisbane Hospital, Brisbane, QLD, 4029, Australia.
  • Williams GM; Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Locked Bag 2000, Royal Brisbane Hospital, Brisbane, QLD, 4029, Australia.
  • van der Pols JC; The University of Queensland, School of Public Health, Herston, QLD, 4006, Australia.
Eur J Nutr ; 56(4): 1455-1465, 2017 Jun.
Article em En | MEDLINE | ID: mdl-26919993
ABSTRACT

BACKGROUND:

Dietary intake is one of the most modifiable risk factors associated with obesity. However, data on the relationship between dietary patterns and long-term weight change are limited.

PURPOSE:

We therefore investigated the association between dietary patterns and 15-year weight change in a sample of 1186 Australian adults (1992-2007).

METHODS:

We measured body weight and collected data on socio-demographic and lifestyle characteristics in 1992 and 2007. Applying principal component analysis to 38 food groups from a food frequency questionnaire collected at baseline, we identified two dietary patterns 'meat-and-fat' and 'fruit-and-vegetable.' Using generalized estimating equations, multivariable regression models, stratified by sex, were adjusted for concurrent changes in socio-demographic and lifestyle variables.

RESULTS:

The average increase in body weight of men in the highest tertile of the meat-and-fat pattern was more than twice that of men in the lowest tertile; mean weight change (95 % CI) 4.8 (-0.1, 9.7) kg versus 2.3 (-2.6, 7.1) kg, P-for-trend = 0.02. In contrast, average weight gain of men in the highest tertile of the fruit-and-vegetable pattern was only about half that of men in the lowest tertile; mean weight change (95 % CI) 2.9 (-2.0, 7.8) kg versus 5.4 (-1.5, 10.4) kg, P-for-trend = 0.02. Among women, dietary patterns were not related to weight change.

CONCLUSIONS:

These dietary patterns predict change in body weight in men, but not in women. In this cohort, a dietary pattern high in fruit and vegetables was related to less weight gain in men than a dietary pattern high in meat and fat.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aumento de Peso / Dieta / Obesidade Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Oceania Idioma: En Revista: Eur J Nutr Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aumento de Peso / Dieta / Obesidade Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Oceania Idioma: En Revista: Eur J Nutr Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Austrália