Índice de Qualidade da Dieta Revisado para população brasileira

Previdelli, Ágatha Nogueira; Andrade, Samantha Caesar de; Pires, Milena Monfort; Ferreira, Sandra Roberta Gouvêa; Fisberg, Regina Mara; Marchioni, Dirce Maria Lobo

doi:10.1590/s0034-89102011000400021

Cited by 139 publications

(110 citation statements)

References 2 publications

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“…Secondly, a total of 50% of the population study had reached the maximum score (5.00) for Dark green and Orange vegetables and Beans for both genders, meaning that this component was not so accurate in capturing the differences within the population study. A probable reason for this is that the minimum amount intake necessary to obtain the maximum score (five points) is only half a portion of these food groups, which represents a consumption of only 7.5 kcal per 1000 kcal intake [11]. On the other hand, it is important to highlight that density standards (applied in the index) allow a common standard to be used, and also have the advantage of being independent of an individual’s energy and nutrient requirement.…”

Section: Discussionmentioning

confidence: 99%

“…The hypothesis-oriented analysis, based on a validated Dietary Index called the Brazilian Healthy Eating Index–Revised (BHEI-R), was used to assess the overall dietary quality [11,12]. The BHEI-R was developed to (1) capture the overall diet quality; (2) measure dietary risk factors for chronic diseases; (3) evaluate the dietary intake of individuals and/or population and (4) monitor the population intake [11].…”

Section: Methodsmentioning

confidence: 99%

“…The BHEI-R was developed to (1) capture the overall diet quality; (2) measure dietary risk factors for chronic diseases; (3) evaluate the dietary intake of individuals and/or population and (4) monitor the population intake [11]. …”

Section: Methodsmentioning

confidence: 99%

“…The other components were based on recommendations from the World Health Organization (WHO), the Institute of Medicine (IOM), the Healthy Eating Index 2005 (HEI-2005) and the Brazilian Cardiology Society [11]. The components were expressed on intake per 1000 calories or per calorie basis in order to represent the diet quality rather than the diet quantity [11,13]. …”

Section: Methodsmentioning

confidence: 99%

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Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis

et al. 2016

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The use of dietary patterns to assess dietary intake has become increasingly common in nutritional epidemiology studies due to the complexity and multidimensionality of the diet. Currently, two main approaches have been widely used to assess dietary patterns: data-driven and hypothesis-driven analysis. Since the methods explore different angles of dietary intake, using both approaches simultaneously might yield complementary and useful information; thus, we aimed to use both approaches to gain knowledge of adolescents’ dietary patterns. Food intake from a cross-sectional survey with 295 adolescents was assessed by 24 h dietary recall (24HR). In hypothesis-driven analysis, based on the American National Cancer Institute method, the usual intake of Brazilian Healthy Eating Index Revised components were estimated. In the data-driven approach, the usual intake of foods/food groups was estimated by the Multiple Source Method. In the results, hypothesis-driven analysis showed low scores for Whole grains, Total vegetables, Total fruit and Whole fruits), while, in data-driven analysis, fruits and whole grains were not presented in any pattern. High intakes of sodium, fats and sugars were observed in hypothesis-driven analysis with low total scores for Sodium, Saturated fat and SoFAA (calories from solid fat, alcohol and added sugar) components in agreement, while the data-driven approach showed the intake of several foods/food groups rich in these nutrients, such as butter/margarine, cookies, chocolate powder, whole milk, cheese, processed meat/cold cuts and candies. In this study, using both approaches at the same time provided consistent and complementary information with regard to assessing the overall dietary habits that will be important in order to drive public health programs, and improve their efficiency to monitor and evaluate the dietary patterns of populations.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis

et al. 2016

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“…Health-related behaviors: smoking, consumption of alcoholic beverages, screen time (tele-vision and computer in hours/day), practice of physical activity during recreation (active: adolescents aged 10 to 17 years who practiced at least 60 minutes of physical activity per day at least five days a week and adolescents 18 to 19 years who practiced at least 150 minutes weekly distributed among at least three days) 20 ; Score on the Brazilian Healthy Eating Index-Revised (BHEI-R) 21 , categorized in distribution tertiles. The BHEI-R has been adapted and validated for the Brazilian population and has 12 components: nine related to food groups (total fruits; whole fruits; total vegetables; dark-green/orange vegetables and legumes; total cereals; whole-grain cereals; milk and milk byproducts; meat, eggs and legumes; and oils), two related to nutrients (sodium and saturated fat) and one assessing the percentage of energy from saturated and trans fats, alcohol and added sugar.…”

Section: Data Collection and Variables Analyzedmentioning

confidence: 99%

Consumo de açúcares de adição por adolescentes em estudo de base populacional

Braz

Assumpção

Barros

et al. 2019

Ciênc. saúde coletiva

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Resumo Objetivou-se estimar a prevalência de ingestão de açúcares de adição dentro do limite máximo de 5% da energia total da dieta, segundo variáveis demográficas, socioeconômicas, de comportamentos relacionados à saúde e estado nutricional, em adolescentes. Trata-se de estudo transversal de base populacional, com amostra por conglomerados e em dois estágios. A quantidade de açúcar livre da dieta foi estimada por meio do Recordatório de 24 horas. Dos 924 adolescentes avaliados, apenas 20,1% (IC95%: 16,8-23,9) se enquadraram na recomendação de não exceder 5% das calorias totais com açúcares de adição. Maiores prevalências de atendimento à recomendação foram verificadas no sexo masculino (22,0%), nos adolescentes de 15-19 anos (24,3%), nos não naturais do estado de São Paulo (30,4%), nos que tinham menor tempo de tela (27,5%), nos que possuíam menor número de equipamentos domésticos (0-7: 29,5%; 8-15: 20,3%) e naqueles com escores superiores de qualidade da dieta (tercil 2: 17,7%, tercil 3: 37,2%). Os resultados apontam os fatores associados ao consumo de açúcares de adição numa perspectiva epidemiológica, revelando uma simultaneidade de comportamentos inadequados, ou seja, os adolescentes que ingerem mais açúcares também apresentam maior tempo de tela e pior qualidade global da dieta.

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Clinical and Vitamin Response to a Short‐Term Multi‐Micronutrient Intervention in Brazilian Children and Teens: From Population Data to Interindividual Responses

Mathias¹,

Coelho‐Landell²,

Scott‐Boyer

et al. 2018

Molecular Nutrition Food Res

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ScopeMicronutrients are in small amounts in foods, act in concert, and require variable amounts of time to see changes in health and risk for disease. These first principles are incorporated into an intervention study designed to develop new experimental strategies for setting target recommendations for food bioactives for populations and individuals.Methods and resultsA 6‐week multivitamin/mineral intervention is conducted in 9–13 year olds. Participants (136) are (i) their own control (n‐of‐1); (ii) monitored for compliance; (iii) measured for 36 circulating vitamin forms, 30 clinical, anthropometric, and food intake parameters at baseline, post intervention, and following a 6‐week washout; and (iv) had their ancestry accounted for as modifier of vitamin baseline or response. The same intervention is repeated the following year (135 participants). Most vitamins respond positively and many clinical parameters change in directions consistent with improved metabolic health to the intervention. Baseline levels of any metabolite predict its own response to the intervention. Elastic net penalized regression models are identified, and significantly predict response to intervention on the basis of multiple vitamin/clinical baseline measures.ConclusionsThe study design, computational methods, and results are a step toward developing recommendations for optimizing vitamin levels and health parameters for individuals.

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Índice de Qualidade da Dieta Revisado para população brasileira

Cited by 139 publications

References 2 publications

Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis

Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis

Consumo de açúcares de adição por adolescentes em estudo de base populacional

Clinical and Vitamin Response to a Short‐Term Multi‐Micronutrient Intervention in Brazilian Children and Teens: From Population Data to Interindividual Responses

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