Introduction: Statistical methods such as Principal Component Analysis (PCA) and Factor Analysis (FA) are increasingly popular in Nutritional Epidemiology studies. However, misunderstandings regarding the choice and application of these methods have been observed. Objectives: This study aims to compare and present the main differences and similarities between FA and PCA, focusing on their applicability to nutritional studies. Methods: PCA and FA were applied on a matrix of 34 variables expressing the mean food intake of 1,102 individuals from a population-based study. Results: Two factors were extracted and, together, they explained 57.66% of the common variance of food group variables, while five components were extracted, explaining 26.25% of the total variance of food group variables. Among the main differences of these two methods are: normality assumption, matrices of variance-covariance/correlation and its explained variance, factorial scores, and associated error. The similarities are: both analyses are used for data reduction, the sample size usually needs to be big, correlated data, and they are based on matrices of variance-covariance. Conclusion: PCA and FA should not be treated as equal statistical methods, given that the theoretical rationale and assumptions for using these methods as well as the interpretation of results are different.

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A B S T R A C T ObjectiveThis study aimed to characterize away-from-home meals. MethodsThis population-based, cross-sectional study measured dietary intake by administering 24-hour recalls by telephone. Away-from-home breakfast, lunch, and dinner were described and characterized according to the foods that contribute most to the intake of energy, fat, sodium, and added sugar per meal. ResultsOf the 834 respondents, 24% had had at least one meal away from home. The average energy intake per away-from-home meal was 628 kcal (±101 kcal), about 35% of the average daily intake for this population. Meals contained both healthy foods, such as rice, beans, and fish, and unhealthy foods, such as soft drinks, snacks, sandwiches, and pizza. ConclusionIndividuals who ate away from home had worse diets. However, the presence of healthy foods indicates a possibility of improvement if purposeful programmatic actions are taken.Indexing terms: Eating. Feeding behavior. Food habits. R E S U M O ObjetivoO presente estudo tem como objetivo caracterizar as refeições realizadas fora do lar.

Objective: To describe the patterns of food intake for breakfast, the prevalence of omission of this meal, its relative share in the total intake of energy and nutrients, and the factors associated with its omission. Methods: A population-based, cross-sectional study (ISA-Capital) with 795 adolescents. The prevalence of omission of breakfast was analyzed using Chi-square test and Poisson regression considering a significance level of 5%. Differences in the intake of energy and nutrients among adolescents who omit and have breakfast was determined by the Student's t-test and differences in the relative share of breakfast were verified by the test of proportion. The pattern of consumption of breakfast was investigated by factor analysis. Results: The prevalence of omission of breakfast was 38%, higher among female adolescents. The energy contribution of breakfast was 23%, with contribution in vitamins ranging from 17% in vitamin C, for males, up to 37% in vitamin A and D, for females. Through factor analysis, 12 food groups consumed for breakfast were characterized in five factors that demonstrate a pattern of consumption. Conclusion: The results show the need for actions that promote regular consumption and selection of appropriate food for this meal.

This systematic review aimed to synthesise information on indices developed to evaluate nutritional quality of meals. A strategy for systematic search of the literature was developed using keywords related to assessment of meal quality. Databases searched included ScienceDirect, PubMed, Lilacs, SciELO, Scopus, Cochrane, Embase and Google Scholar. The literature search resulted in seven different meal quality indices. Each article was analysed in order to identify the following items: authors, country, year, study design, population characteristics, type of meal evaluated, dietary assessment method, characteristics evaluated (nutrients or food items), score range, index components, nutritional references, correlations performed, validation and relationship with an outcome (if existing). Two studies developed instruments to assess the quality of breakfast, three analysed lunch, one evaluated dinner and one was applied to all types of meals and snacks. All meal quality indices reviewed were based on the evaluation of presence or absence of food groups and relative contributions of nutrients, according to food-based guidelines or nutrient references, adapting the daily dietary recommendations to one specific meal. Most of the indices included three items as components for meal quality assessment: (I) total fat or some specific type of fat, (II) fruits and vegetables and (III) cereals or whole grains. This systematic review indicates aspects that need further research, particularly the numerous approaches to assessing meals considering different foods and nutrients, and the need for validation studies of meal indices.

OBJETIVO: Avaliar a qualidade nutricional das refeições servidas em uma Unidade de Alimentação e Nutrição de uma fábrica da região metropolitana da cidade de São Paulo. MÉTODOS: Dentre os cardápios praticados no período de um ano (242 dias) na unidade mencionada, foram selecionados 30% por sorteio sistemático, e avaliados utilizando-se o Índice de Qualidade da Refeição, com base nas recomendações da Organização Mundial da Saúde e do Ministério da Saúde brasileiro. Esse índice compõe-se de cinco itens que variam entre zero e 20 pontos cada um: adequação na oferta de hortaliças e frutas; oferta de carboidratos; oferta de gordura total; oferta de gordura saturada e variabilidade do cardápio. No período analisado, foram servidas 367 preparações, agrupadas em 30 categorias, segundo composição e forma de preparo. A correlação de Spearman foi utilizada para investigar a correlação do índice com os nutrientes da refeição. As análises foram realizadas no pacote estatístico STATA, considerando-se o nível de significância de 5%. RESULTADOS: O valor médio do Índice de Qualidade da Refeição foi de 64,60 (DP=21,18) pontos, sendo 44% das refeições classificadas como "refeição que necessita de melhora" e apenas 25% como "adequadas". Além do arroz e do feijão, servidos diariamente, as preparações mais frequentes foram: legumes e frutas (30%), massas e cremes (12%), frituras (9%) e sobremesas com creme (8%). Encontrou-se correlação positiva entre o Índice de Qualidade da Refeição e a vitamina C (r=0,32). CONCLUSÃO: Apesar da presença constante de frutas, legumes e verduras, há a necessidade de adequar a oferta das preparações às recomendações para uma alimentação saudável, que efetivamente colaborem na promoção da saúde.

Considering the scarcity of studies with young workers and the role of diet in the prevention of chronic diseases, the objective of the study was to assess the quality of diet of working college students. The present study investigated 43 university students, aged between 18 and 25 years old who had systematically being involved in a working activity in the past 6 months, paid or unpaid, at least 6 hours daily, five days a week. Dietary intake measured by seven dietary records covering every day of the week was used to calculate the Brazilian Healthy Eating Index Revised (B-HEIR). It was observed a low B-HEIR score (53.43,±7.81) indicating a risk of a poor quality of diet, with high intake of sodium and sugar and low consumption of fruits and whole grains. This poor quality of diet can result in an inadequate nutritional status that may increase the risk of obesity and chronic diseases.

Selenium (Se) participates in several enzymatic reactions necessary for regulating the homeostasis of thyroid hormones. We aimed to analyze the association between dietary Se intake and subclinical hypothyroidism. Baseline data from the Longitudinal Study of Adult Health (Estudo Longitudinal de Saúde do Adulto—ELSA-Brasil) in Brazil were analyzed, with a final sample size of 14,283 employees of both sexes aged 35–74 years. Dietary data was collected using a previously validated food frequency questionnaire. Subclinical hypothyroidism was categorized as thyroid-stimulating hormone levels of >4.0 IU/mL and free prohormone thyroxine levels within normal limits, without administering drugs for thyroid disease. A multiple logistic regression model was used to assess the relationship between the presence of subclinical hypothyroidism and tertiles of Se consumption. The prevalence of subclinical hypothyroidism in the study sample was 5.4% (95% confidence interval [CI], 3.8–7.0%). Compared with the first tertile of Se intake, the second (odds ratio [OR], 0.79; 95% CI, 0.65–0.96%) and third (OR, 0.72; 95% CI, 0.58–0.90%) tertiles were inversely associated with subclinical hypothyroidism, however further research is needed to confirm the involvement of Se in subclinical hypothyroidism using more accurate methodologies of dietary assessment and nutritional status to evaluate this relationship.