Literature DB >> 26220554

Dietary patterns for meals of Brazilian adults.

Roberta de Oliveira Santos1, Regina Mara Fisberg1, Dirce Maria Marchioni1, Valéria Troncoso Baltar2.   

Abstract

The use of dietary patterns (DP) in nutritional research is well established; however, only a few studies of DP according to specific meals have been conducted. The purpose of this study was to identify the DP regarding breakfast, lunch and dinner meals of the population (aged 20 years and older of both sexes) that participated in the Health Care Survey of Sao Paulo. Food intake was estimated by using the Multiple Source Method - considering two 24- h dietary recalls. On the basis of the food groups for each meal, a factor analysis, with a principal component estimation, was applied (varimax rotation) in order to derive the DP. Prevalences of meal skipping were 5·6 % for breakfast, 3·6 % for lunch and 12·8 % for dinner. The findings revealed three breakfast DP: healthy, traditional and snack; five lunch DP: traditional, salad, sweetened juice, Western and meats; and four dinner DP: coffee with milk and bread, transitional, traditional, and soup and fruits. The results of this study indicate that the DP identified in accordance with the meal nicely discriminates food intake, emphasising peculiarities that are not found in global analyses and might support dietary advice.

Entities:  

Keywords:  24HR 24-h recall; DP dietary pattern; Dietary patterns; Factor analysis; Food intake; Meals

Mesh:

Year:  2015        PMID: 26220554     DOI: 10.1017/S0007114515002445

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  18 in total

Review 1.  Brazilian Children's Dietary Intake in Relation to Brazil's New Nutrition Guidelines: a Systematic Review.

Authors:  Ana Carolina Barco Leme; Regina Mara Fisberg; Debbe Thompson; Sonia Tucunduva Philippi; Theresa Nicklas; Tom Baranowski
Journal:  Curr Nutr Rep       Date:  2019-06

Review 2.  A practical approach to a low protein diet in Brazil.

Authors:  Denise Mafra; Viviane O Leal
Journal:  BMC Nephrol       Date:  2016-07-29       Impact factor: 2.388

3.  Changes in Dietary Patterns from Childhood to Adolescence and Associated Body Adiposity Status.

Authors:  Danielle Biazzi Leal; Maria Alice Altenburg de Assis; Patrícia de Fragas Hinnig; Jeovani Schmitt; Adriana Soares Lobo; France Bellisle; Patrícia Faria Di Pietro; Francilene Kunradi Vieira; Pedro Henrique de Moura Araujo; Dalton Francisco de Andrade
Journal:  Nutrients       Date:  2017-10-06       Impact factor: 5.717

4.  Changes in breakfast frequency and composition during adolescence: The Adolescent Nutritional Assessment Longitudinal Study, a cohort from Brazil.

Authors:  Bruna Kulik Hassan; Diana Barbosa Cunha; Gloria Valeria da Veiga; Rosangela Alves Pereira; Rosely Sichieri
Journal:  PLoS One       Date:  2018-07-19       Impact factor: 3.240

5.  Meal analysis for understanding eating behavior: meal- and participant-specific predictors for the variance in energy and macronutrient intake.

Authors:  Carolina Schwedhelm; Khalid Iqbal; Lukas Schwingshackl; George O Agogo; Heiner Boeing; Sven Knüppel
Journal:  Nutr J       Date:  2019-03-07       Impact factor: 3.271

6.  Food Combinations in Relation to the Quality of Overall Diet and Individual Meals in Japanese Adults: A Nationwide Study.

Authors:  Kentaro Murakami; M Barbara E Livingstone; Nana Shinozaki; Minami Sugimoto; Aya Fujiwara; Shizuko Masayasu; Satoshi Sasaki
Journal:  Nutrients       Date:  2020-01-26       Impact factor: 5.717

7.  The traditional lunch pattern is inversely correlated with body mass index in a population-based study in Brazil.

Authors:  Roberta de Oliveira Santos; Diva Aliete Dos Santos Vieira; Andreia Alexandra Machado Miranda; Regina Mara Fisberg; Dirce Maria Marchioni; Valéria Troncoso Baltar
Journal:  BMC Public Health       Date:  2017-07-19       Impact factor: 3.295

8.  Nutritional quality of meals and snacks assessed by the Food Standards Agency nutrient profiling system in relation to overall diet quality, body mass index, and waist circumference in British adults.

Authors:  Kentaro Murakami
Journal:  Nutr J       Date:  2017-09-13       Impact factor: 3.271

9.  Applying a meal coding system to 16-d weighed dietary record data in the Japanese context: towards the development of simple meal-based dietary assessment tools.

Authors:  Kentaro Murakami; M Barbara E Livingstone; Satoshi Sasaki; Naoko Hirota; Akiko Notsu; Ayako Miura; Hidemi Todoriki; Mitsuru Fukui; Chigusa Date
Journal:  J Nutr Sci       Date:  2018-11-13

10.  Association between breakfast composition and abdominal obesity in the Swiss adult population eating breakfast regularly.

Authors:  Angeline Chatelan; Katia Castetbon; Jerome Pasquier; Chloe Allemann; Alexandre Zuber; Esther Camenzind-Frey; Christine Anne Zuberbuehler; Murielle Bochud
Journal:  Int J Behav Nutr Phys Act       Date:  2018-11-20       Impact factor: 6.457

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