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Association between dietary patterns and body composition in normal-weight subjects with metabolic syndrome.
Rashidmayvan, Mohammad; Sharifan, Payam; Darroudi, Susan; Saffar Soflaei, Sara; Salaribaghoonabad, Rahil; Safari, Nilufar; Yousefi, Maryam; Honari, Mohadese; Ghazizadeh, Hamideh; Ferns, Gordon; Esmaily, Habibollah; Ghayour-Mobarhan, Majid.
Afiliación
  • Rashidmayvan M; Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Sharifan P; Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Darroudi S; Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Saffar Soflaei S; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Salaribaghoonabad R; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Safari N; Department of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran.
  • Yousefi M; Department of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran.
  • Honari M; Department of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran.
  • Ghazizadeh H; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Ferns G; Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran.
  • Esmaily H; Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Ghayour-Mobarhan M; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
J Diabetes Metab Disord ; 21(1): 735-741, 2022 Jun.
Article en En | MEDLINE | ID: mdl-35673495
ABSTRACT
Background and

aims:

The development of metabolic syndrome (MetS) has been proposed to be related to dietary pattern and body compostion indexes. Diet is one of the most important lifestyle-related factors which may regulate the inflammatory process. Numerous individual foods and dietary patterns can have a valuable health effect that is associated with their anti-inflammatory properties. Here we aimed to investigate the association between body composition indexes and dietary patterns in individuals with metabolic syndrome who were nnormal for weight. Methods and materials Normal weight subjects with MetS were recruited as part of Survey of Ultraviolet Intake by Nutritional Approach (SUVINA). A validated food frequency questionnaire (FFQ) was used to determine dietary patterns that were low-, or high in antioxidant; dietary inflammation index (DII) and health eating index (HEI) were also determined. Body composition indexes including basal metabolic rate (BMR), body free fat mass (BFFM), body fat mass (BFM), body fat percentage (BFP), trunk fat and total body water (TBW) were measured using a InBody body composition analyser. A P value <0.05 was considered significant.

Results:

A total 77 individuals including 29 males and 48 females were recruited into the study. A high-antioxidant dietary pattern was significantly correlated with BMR (p = 0.002), BFFM (p = 0.007) and TBW (p = 0.002). There was no significant relationship between body compostion with a low-antioxidant dietary pattern, DII and HEI. After adjusting for age and sex, our findings showed that a high-antioxidant dietary pattern were independently associated with BMR, BFFM and TBW.

Conclusion:

A high-antioxidant dietary pattern was independently associated with decreased BMR, BFFM and TBW, while no association was found between body composition indexes and DII and HEI in normal weight paticipants with MetS.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: J Diabetes Metab Disord Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: J Diabetes Metab Disord Año: 2022 Tipo del documento: Article