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Association of dietary patterns, number of daily meals and anthropometric measures in women in age of menopause

OBJECTIVE: To investigate the association of dietary patterns, number of daily meals and anthropometric measures among women in age of menopause. SUBJECTS AND METHODS: This was a transversal study with 320 women over 50 years old from Caxias do Sul, Brazil. The outcomes were body mass index (BMI) an...

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Autores principales: França, Érika Brombil, Mendes, Karina Giane, Theodoro, Heloísa, Olinto, Maria Teresa Anselmo, Canuto, Raquel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Endocrinologia e Metabologia 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10065399/
https://www.ncbi.nlm.nih.gov/pubmed/34762784
http://dx.doi.org/10.20945/2359-3997000000414
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author França, Érika Brombil
Mendes, Karina Giane
Theodoro, Heloísa
Olinto, Maria Teresa Anselmo
Canuto, Raquel
author_facet França, Érika Brombil
Mendes, Karina Giane
Theodoro, Heloísa
Olinto, Maria Teresa Anselmo
Canuto, Raquel
author_sort França, Érika Brombil
collection PubMed
description OBJECTIVE: To investigate the association of dietary patterns, number of daily meals and anthropometric measures among women in age of menopause. SUBJECTS AND METHODS: This was a transversal study with 320 women over 50 years old from Caxias do Sul, Brazil. The outcomes were body mass index (BMI) and waist circumference (WC). Multiple linear regression was performed. RESULTS: Three dietary patterns: regional, fruits and vegetables, and common Brazilian was identified by Principal Component Analysis. After adjustment, higher adoption of the regional dietary pattern was associated with increased BMI (β = 0.56 [CI95% = 0.03-1.08], p = 0.037) and WC (β = 1.28 [CI95% = 0.17-2,55], p = 0.047). The highest number of meals per day (>=5/day) was associated with reduced BMI (β = -1.18 [CI95% = -2.30 to -0.05], p = 0.041) and WC (β = -2.77 [CI95% = -5.41 to -0.13], p = 0.039), and a mid-afternoon snack BMI (β = -2.16 [CI95% = -3.66 to -0.65], p = 0.005) and WC (β = -5.76 [CI95% = -9.29 to -2.23], p = 0,001). The regional dietary pattern was inversely associated with have five or more meals per day (β = -0.51 [CI95% = -0.84 to -0.18], p = 0.002) and have a mid-afternoon snack (β = -0.63 [CI95% = -1.07 to -0.18], p = 0.006). The fruit and vegetables dietary pattern was positively associated with have five or more meals per day (β = 0.35 [CI95% = 0.02-0.69], p = 0.034). CONCLUSION: The regional dietary pattern has resulted in higher BMI and WC measures and contributes to decreased meals per day, behavior associated with higher anthropometric measures.
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spelling pubmed-100653992023-04-01 Association of dietary patterns, number of daily meals and anthropometric measures in women in age of menopause França, Érika Brombil Mendes, Karina Giane Theodoro, Heloísa Olinto, Maria Teresa Anselmo Canuto, Raquel Arch Endocrinol Metab Original Article OBJECTIVE: To investigate the association of dietary patterns, number of daily meals and anthropometric measures among women in age of menopause. SUBJECTS AND METHODS: This was a transversal study with 320 women over 50 years old from Caxias do Sul, Brazil. The outcomes were body mass index (BMI) and waist circumference (WC). Multiple linear regression was performed. RESULTS: Three dietary patterns: regional, fruits and vegetables, and common Brazilian was identified by Principal Component Analysis. After adjustment, higher adoption of the regional dietary pattern was associated with increased BMI (β = 0.56 [CI95% = 0.03-1.08], p = 0.037) and WC (β = 1.28 [CI95% = 0.17-2,55], p = 0.047). The highest number of meals per day (>=5/day) was associated with reduced BMI (β = -1.18 [CI95% = -2.30 to -0.05], p = 0.041) and WC (β = -2.77 [CI95% = -5.41 to -0.13], p = 0.039), and a mid-afternoon snack BMI (β = -2.16 [CI95% = -3.66 to -0.65], p = 0.005) and WC (β = -5.76 [CI95% = -9.29 to -2.23], p = 0,001). The regional dietary pattern was inversely associated with have five or more meals per day (β = -0.51 [CI95% = -0.84 to -0.18], p = 0.002) and have a mid-afternoon snack (β = -0.63 [CI95% = -1.07 to -0.18], p = 0.006). The fruit and vegetables dietary pattern was positively associated with have five or more meals per day (β = 0.35 [CI95% = 0.02-0.69], p = 0.034). CONCLUSION: The regional dietary pattern has resulted in higher BMI and WC measures and contributes to decreased meals per day, behavior associated with higher anthropometric measures. Sociedade Brasileira de Endocrinologia e Metabologia 2021-11-11 /pmc/articles/PMC10065399/ /pubmed/34762784 http://dx.doi.org/10.20945/2359-3997000000414 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
França, Érika Brombil
Mendes, Karina Giane
Theodoro, Heloísa
Olinto, Maria Teresa Anselmo
Canuto, Raquel
Association of dietary patterns, number of daily meals and anthropometric measures in women in age of menopause
title Association of dietary patterns, number of daily meals and anthropometric measures in women in age of menopause
title_full Association of dietary patterns, number of daily meals and anthropometric measures in women in age of menopause
title_fullStr Association of dietary patterns, number of daily meals and anthropometric measures in women in age of menopause
title_full_unstemmed Association of dietary patterns, number of daily meals and anthropometric measures in women in age of menopause
title_short Association of dietary patterns, number of daily meals and anthropometric measures in women in age of menopause
title_sort association of dietary patterns, number of daily meals and anthropometric measures in women in age of menopause
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10065399/
https://www.ncbi.nlm.nih.gov/pubmed/34762784
http://dx.doi.org/10.20945/2359-3997000000414
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