This study evaluated changes in the use of sweeteners over one decade and the relationship between socio-demographics, diet and weight status with the type of sweetener. Data came from the Brazilian National Dietary Surveys of 2008–2009 and 2017–2018, including ≥ 10-year-old individuals (n 32 749; n 44 744, respectively, after excluding pregnant and lactating women). The use of table sugar, non-caloric sweeteners (NCS), both or none was reported through a specific question. Food consumption was assessed using two non-consecutive food records (2008–2009) and 24-h recalls (2017–2018). For the last survey, means of energy, macro and micronutrient intake, food groups’ contribution (%) to daily energy intake and age- and energy-adjusted nutrient intake were estimated according to the type of sweetener used. Differences in means and proportions across the categories of sweeteners used were evaluated based on the 95 % CI. All analyses were stratified by sex and considered sample design and weights. Over 10 years, the use of table sugar decreased by 8 %, while the habit of not using any sweetener increased almost three times, and the use of NCS remained stable. Larger reductions in the use of table sugar were observed in the highest income level and among men. Regardless of sex, compared with NCS users, table sugar users had greater mean intake of energy, carbohydrates and added sugar and lower micronutrient intake means. Although table sugar is still the most used sweetener, the increased choice of ‘no sweetener’ is noteworthy in Brazil.

The habit of eating specific meals has been addressed in several studies, but the evaluation of meal patterns has received less attention. This study aimed to describe the meal patterns of the Brazilian population. A complex sampling design was used to select the 46,164 ≥ 10-year-old individuals examined in the Brazilian National Dietary Survey. Food consumption was assessed by two non-consecutive 24-hour recalls applied throughout a one-week period. The exploratory data analysis approach was used to determine the meal patterns, i.e., how individuals combined the main meals (breakfast, lunch, dinner) and snacks (morning, afternoon, evening/night) throughout the day. The most common meal patterns were three main meals + one snack, reported by 25.1% of the individuals, and three main meals + two snacks (24.6%). Other meal patterns identified were: three main meals + three snacks (18.5%); three main meals and no snacks (10.9%); one or two main meals + two snacks (7.4%); one or two main meals + one snack (6.9%); one or two main meals + three snacks (4.2%); and one or two main meals and no snacks (2.3%). Meal patterns varied according to gender and age group, and on typical versus atypical food consumption days. We found that eight patterns characterized the daily meal consumption in Brazil. Furthermore, around 80% of the population had three main meals every day and about 13% did not report having any snacks. The characterization of meal habits is important for tailoring and targeting health promotion actions.

This study aimed to estimate the association of time of energy intake with weight status, diet quality, and sociodemographic characteristics in Brazil. This cross-sectional study used data from a nationally representative survey with 44.744 individuals (≥10 years old). Food consumption was assessed by 24 h recall. The evening/morning energy intake ratio was calculated, standardized, and categorized in tertiles. The association between the evening/morning energy intake ratio and weight status was estimated using polynomial logistic regression models, and differences across diet quality and sociodemographic categories were estimated considering the non-overlapping 95% confidence intervals. Men, adolescents, adults, and individuals in the higher income level had greater evening energy intake. Those with a higher evening-to-morning energy intake ratio were 15% more likely to be obese (OR = 1.15; 95% CI = 1.02 to 1.28), 21% less likely to be underweight (OR = 0.79; 95% CI = 0.64 to 0.98), and reported greater total energy, protein, and lipid intake, as well as higher consumption of low-quality diet markers. Higher evening energy intake relative to morning intake was associated with obesity, low-quality diet markers, and sociodemographic characteristics. The characterization of the time of energy intake can be useful for tailoring and targeting diet promotion actions and for controlling the obesity epidemic.

Hybrid methods are a suitable option for extracting dietary patterns associated with health outcomes. This study aimed to identify the dietary patterns of Brazilian adults (20–59 years old; n = 28,153) related to dietary components associated with the risk of obesity. Data from the 2017–2018 Brazilian National Dietary Survey were analyzed. Food consumption was obtained through 24 h recall. Dietary patterns were extracted using partial least squares regression, using energy density (ED), percentage of total fat (%TF), and fiber density (FD) as response variables. In addition, 32 food groups were established as predictor variables in the model. The first dietary pattern, named as energy-dense and low-fiber (ED-LF), included with the positive factor loadings solid fats, breads, added-sugar beverages, fast foods, sauces, pasta, and cheeses, and negative factor loadings rice, beans, vegetables, water, and fruits (≥|0.15|). Higher adherence to the ED-LF dietary pattern was observed for individuals >40 years old from urban areas, in the highest income level, who were not on a diet, reported away-from-home food consumption, and having ≥1 snack/day. The dietary pattern characterized by a low intake of fruits, vegetables, and staple foods and a high intake of fast foods and sugar-sweetened beverages may contribute to the obesity scenario in Brazil.

Resumo Introdução: A qualidade de vida (QDV) favorável tem sido associada a dietas de melhor qualidade nutricional. Objetivo: Identificar padrões alimentares e estimar sua associação com a QDV em docentes universitários. Método: Estudo seccional com 112 docentes de uma universidade do Rio de Janeiro. Foram obtidos dados sociodemográficos, laborais, de saúde, estilo de vida, QDV e desgaste psíquico utilizando questionário autopreenchido. Consumo alimentar foi avaliado por questionário de frequência alimentar. Os padrões alimentares foram identificados por análise fatorial com extração por componentes principais, e sua associação com a QDV foi estimada por regressão linear múltipla. Resultados: 65% eram mulheres, 45% tinham ≥45 anos de idade e 43% apresentavam excesso de peso. O escore médio de QDV geral foi 70. Foram identificados os padrões alimentares: “lanche”, “fast food”, “restrito” e “básico”. O padrão “restrito”, composto por manteiga/margarina, pão, suco de fruta, laticínios e bebidas cafeinadas, apresentou associação direta com QDV geral e domínios psicológico e relações sociais; o padrão “lanche”, composto por vegetais, carnes, frutas e bebidas cafeinadas, se associou diretamente ao domínio psicológico. Conclusões: Os padrões que mais explicaram a ingestão alimentar dos docentes eram de baixa qualidade nutricional. Padrão com teor reduzido de carboidratos associou-se com melhor QVD geral.