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Lunch quality and sociodemographic conditions between Brazilian regions

Bibliographic Data

ID5167250
AuthorsBartira Mendes Gorgulho (0000-0002-1714-3548, Universidade de São Paulo), Roberta O Santos (0000-0001-5598-1350, Universidade de São Paulo), Juliana Araujo Teixeira (0000-0001-8155-1362, Universidade de São Paulo), Valeria T Baltar (0000-0002-8152-8565, Universidade Federal Fluminense), Dirce Maria Marchioni, Dirce Maria Lobo Marchioni (0000-0002-6810-5779, Universidade de São Paulo)
Year2018
Volume34
Issue5
Pagese00067417-e00067417
Publication date2018-05-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311x00067417
PMID29846406
OpenAlexW2806879159
SCIELO_PIDS0102-311X2018000505014
LanguageEN
Citations received1
References cited22

The objective of this study was to assess the quality of lunch consumed by adults in Brazil and its sociodemographic determinants in each Brazilian region. A cross-sectional study was carried out and a representative sample of regional populations was used. The sample comprised of 16,096 adults from the Brazilian National Dietary Survey, part of the Brazilian Household Budget Survey (POF). The lunch quality was evaluated by applying the main meal quality index (MMQI), comprised of 10 items of equal weights that resulted in a score that ranged from zero to 100 points. Linear regression models measured the association between lunch quality and sociodemographic factors. The average energy consumption at lunch was 704kcal (SD = 300), and the meal quality score mean was 57 points (SE = 0.30). The North Region had the worst MMQI score (56 points, SE = 0.07), while the Central had the best MMQI adjusted score (59 points, SE = 0.05). The MMQI final score was positively associated with male gender and ages between 20-39 years, and was inversely associated with having eight years or more of education, per capita income of at least three minimum wages, and with the consumption of meals prepared away from home. Despite differences among sociodemographic factors, all Brazilian regions had a lunch composed of foods rich in sugars and fats, with insufficient portions of fruits and vegetables, resulting in a low meal quality

Consumption (sociology) · Environmental health · Geography · Linear regression · Meal · Per capita · Population · Quality (philosophy) · Regression analysis · Statistics · Consumer Attitudes and Food Labeling · Demography · Mathematics · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet

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  • Economic Causes and Consequences of Obesity

    Eric A Finkelstein, Christopher J Ruhm et al.•Annual Review of Public Health•2005

  • Global nutrition transition and the pandemic of obesity in developing countries

    Barry M Popkin, Linda S Adair et al.•Nutrition Reviews•2012

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  • Eating out of home and obesity

    Open Access•Ilana Nogueira Bezerra, Rosely Sichieri•Public Health Nutrition•2009

  • Main meal quality in Brazil and United Kingdom

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  • Determinantes do consumo de frutas e hortaliças em adolescentes por regressão quantílica

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Unique citing works1
Citations per year0,25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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