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Body image distortion is an alteration in the perception of the body that can have repercussions on health. This study aims to estimate the prevalence of body image accuracy and distortion among women participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) living in Bahia State, Brazil, and to investigate associations with socioeconomic characteristics, lifestyle, and gynecological care seeking. A total of 609 women aged 50 to 69 years participated in the study, who answered face-to-face questionnaires from 2012 to 2014. The Stunkard silhouette scale was used to investigate accurate or distorted perception for more or less weight. The relative risk ratio (RR) was calculated by multinomial logistic regression using Stata 13. Most participants have an accurate perception of their own bodies (53.7%). Among those with distorted perception, there is a tendency to distort towards less weight (38.1%). In the multinomial regression analysis, the variables race/skin color and education remained associated with the distortion towards underweight. The race/skin color variable was positively associated with the distortion towards underweight among Mixed-race women (RR = 1.89; 95%CI: 1.13-3.16) and black (RR = 2.10; 95%CI: 1.25-3.55), while the education variable among those with up to high school education (RR = 1.65; 95%CI: 1.18-2.33). There were no associations with the other variables or with distortion for more weight. The results contribute to explaining the relationships between body image perception and socioeconomic factors, revealing that women of different races/skin colors and varying educational levels are influenced in different ways by social discourses, impacting the perception of their body image.

This study aimed to identify patterns of metabolic syndrome among women and estimate their prevalence and relationship with sociodemographic and biological characteristics. In total, 5,836 women were evaluated using baseline data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Patterns of metabolic syndrome were defined via latent class analysis, using the following metabolic abnormalities as indicators: abdominal obesity, hyperglycemia, hypertension, hypertriglyceridemia, and reduced HDL cholesterol. The relationship between these patterns and individual characteristics was assessed using latent class analysis with covariates. Three patterns of metabolic syndrome were identified: high metabolic expression, moderate metabolic expression, and low metabolic expression. The first two patterns represented most women (53.8%) in the study. Women with complete primary or secondary education and belonging to lower social classes were more likely to have higher metabolic expression. Black and mixed-race women were more likely to have moderate metabolic expression. Menopausal women aged 50 years and older were more often classified into patterns of greater health risk. This study addressed the heterogeneous nature of metabolic syndrome, identifying three distinct profiles for the syndrome among women. The combination of abdominal obesity, hyperglycemia, and hypertension represents the main metabolic profile found among ELSA-Brasil participants. Sociodemographic and biological factors were important predictors of patterns of metabolic syndrome.

This study aimed to identify lifestyle changes and associated sociodemographic factors in women and men participating in the Brazilian Longitudinal Study for Adult Health (ELSA-Brasil) cohort during the COVID-19 pandemic. Longitudinal study with 3,776 (aged 58.8 years; SD ± 8.5) employees of public higher education institutions in the second follow-up and the wave-COVID of ELSA-Brasil. Data collected using structured questionnaires. An exploratory analysis was performed using binary and multinomial logistic regression on the dependent variables with two and three categories, respectively, by obtaining crude and adjusted odds ratio estimates in SPSS 20.0, considering a p-value < 0.05. There was a reduction in physical activity of 195.5 (SD ± 1,146.4) metabolic equivalents per week in women and 240.5 (SD ± 1,474.2) in men, and in smoking by 15.2%. There was an increase in alcohol consumption in men and women (434.2 ± 5,144.0; and 366.1 ± 4,879.0, respectively), in the food quality score (0.8 ± 3.7, women; 0.5 ± 3.7, men), sleeping time (0.4 ± 1.2, women; 0.5 ± 1.1, men), screen time (1.7 ± 2.4, women; 1.4 ± 2.3, men), and sitting time (1.7 ± 2.6, women; 1.5 ± 2.4, men) (hours/day). In total, 18.6% increased the purchase of ultra-processed foods and 36% increased the purchase of natural foods. Age and work activity contributed to increase the chance of purchasing ultra-processed foods, and age and adherence to social distancing influenced the shift to a more sedentary behavior, while income and active work favored the increase in alcoholic beverage consumption. These factors should be considered when developing public policies to avoid individual behaviors that are harmful to health during pandemics.

This study aims to assess the non-additivity effects of gender, race, and schooling on ideal cardiovascular health among participants of the Brazilian Longitudinal Study of Adult Health - ELSA-Brasil. This is a cross-sectional study using data from the baseline of ELSA-Brasil, conducted from 2008 to 2010. The American Heart Association defined a score of ideal cardiovascular health (ICH) as the sum of indicators for the presence of seven favorable health factors and behaviors: non-smoking, ideal body mass index, physical activity and healthy diet, adequate levels of total cholesterol, normal blood pressure, and absence of diabetes mellitus. Multiplicative and additive interactions between gender, race, and schooling were assessed using the Poisson regression model to discuss intersectionality. The mean cardiovascular health score was 2.49 (SD = 1.31). This study showed a positive interaction between gender and schooling (women with high school and higher education) in both additive and multiplicative scales for the score of ideal cardiovascular health. We observed a trend towards higher mean values of cardiovascular health for increased schooling, with a marked difference among women. The lowest cardiovascular health scores observed reinforce the importance of understanding the psychosocial experiences that influence health attitudes, access to health care, and healthy lifestyle choices, which affect ICH, to reduce inequities in health and propose more adequate public policies that assist and prevent cardiovascular diseases.

The objective of the present study was to evaluate the association between social position and anthropometric status in women and men Brazilian adult. This was a cross-sectional study that used baseline data collected from 2008 to 2010 for the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, in Portuguese), in the six major Brazilian state capital cities. A total of 15,105 active and retired civil servants aged from 35 to 74 years. Two latent variables were defined by latent class analysis, social position and anthropometric status. Both constructs and the analyses were separately evaluated by sex. Associations were assessed using multivariate logistic regression analysis with adjustment for age, self-reported skin color/race, and marital status. Around 44% of the women and 26% of the men were classified as overweight or obese. Social position tended to be lower in women (43.2%) and higher among men (40.4%). Heavier women were more likely to be black and brown-skinned, whereas slimmer women were more likely to be white. After adjustment, women's weight increased as social position decreased (OR = 1.52; 95%CI: 1.36-1.70), whereas in men weight decreased as social position decreased (OR = 0.87; 95%CI: 0.76-0.99). Social position affected the anthropometric status of women and men differently, with body patterns also being affected by ethnicity/skin color, showing the potentiality of taking the intersectional perspective when investigating the possible social determinants of the phenomenon.

Lipid abnormalities and subclinical systemic inflammation are associated with atherosclerosis and are used as markers of cardiovascular risk. Studies have suggested a possible beneficial effect of dairy products on cardiovascular health, but the results in lipid and inflammatory markers are still controversial. This study aimed to assess the association between consumption of dairy products and their different subgroups and C-reactive protein (CRP), LDL-cholesterol (LDL-C), and triglyceride/HDL-cholesterol ratio (TG/HDL-C) in participants in the Longitudinal Study of Adult Health (ELSA-Brasil) (n = 9,372). Consumption of dairy products was assessed via a validated food frequency questionnaire and expressed as servings/day. Total consumption of dairy products was described in four categories (≤ 1 serving/day to > 4 servings/day). The associations were estimated via odds ratios (OR), using the group with the lowest consumption (≤ 1 serving/day) as the reference. The lowest ORs for TG/HDL-C in the multivariate model (0.70; 95%CI: 0.55-0.90 in men; and 0.55; 95%CI: 0.43-0.70 in women) were found in the group that consumed > 4 servings day of dairy products. These results were supported by the inverse associations between different subgroups of dairy products and the TG/HDL-C ratio. No association was found between consumption of dairy products and their subgroups and LDL-C and CRP. The results suggest a possible beneficial effect of dairy products on lipid profile, but longitudinal and intervention studies are needed to elucidate the effect mechanisms of different types of dairy products.

The food consumption of 15,071 public employees was analyzed in six Brazilian cities participating in the baseline for Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, 2008-2010) with the aim of identifying eating patterns and their relationship to socio-demographic variables. Multiple correspondence and cluster analysis were applied. Four patterns were identified, with their respective frequencies: "traditional" (48%); "fruits and vegetables" (25%); "pastry shop" (24%); and "diet/light" (5%) The "traditional" and "pastry shop" patterns were more frequent among men, younger individuals, and those with less schooling. "Fruits and vegetables" and "diet/light" were more frequent in women, older individuals, and those with more schooling. Our findings show the inclusion of new items in the "traditional" pattern and the appearance of the "low sugar/low fat" pattern among the eating habits of Brazilian workers, and signal socio-demographic and regional differences.

This cross-sectional study included 3,817 preschool children, of whom 1,770 in Salvador, Bahia State, Brazil, and 2,047 in urban and rural areas from nine other municipalities (counties) in the same State. The study used 24-hour recall and principal components analysis to identify and compare dietary patterns. The sample was stratified by age and area. In the first six months of life, breast milk composed the second and third patterns, with positive loadings for children in all 10 municipalities. For children under 17 months of age, pattern 1 was characterized by cow's milk, flour, and sugar, except in rural areas. Pattern 2 was similar for children aged 6-17 months and consisted of bread/cookies, rice, beans, and meat. For children 18-23 months of age in urban areas, pattern 1 showed negative loadings for sugar, cow's milk, and flour. In children over 24 months of age, fruits were not part of the first pattern. The study showed low consumption of milk and low variety of fruits and vegetables. This food consumption profile indicates the need for early interventions to promote healthy eating habits.

Overweight children are more prone to become overweight or obese adults. The most effective prevention is intervention in early childhood. We analyzed the association between early weight gain and overweight/obesity in 1,056 children under 11 years of age. Data were collected on lifestyle, sanitation, socioeconomic status, birth weight, and breastfeeding. Weight gain from birth until different age brackets (< 12, > 12 to 18, > 18 to 24, and > 24 to 60 months) was considered a continuous variable in z-scores. Overweight was defined as body mass index (BMI) > +1 z-score, based on 2006 and 2007 World Health Organization (WHO) guidelines. Poisson regression and linear regression were used in the multivariate statistical analysis. Weight gain rate was associated with BMI, and overweight or obesity in the 5-11-year age bracket increased twofold for each unit increase in the weight gain standard deviation between 24 and 60 months of age (RR = 2.08; 95%CI: 1.87-2.32). For all early childhood age brackets, there was an association between rapid weight gain and subsequent overweight or obesity.

The aim of this study was to estimate the association between Giardia duodenalis infection and anthropometric deficits, as measured by weight-for-age and height-for-age. This cross-sectional study included 629 children from 12 to 48 months of age, selected from 30 geographic areas in the city of Salvador, Bahia State, Brazil. Poisson regression and linear regression were used for the multivariate statistical analyses. G. duodenalis was diagnosed in 13.5% of the children. The children's breastfeeding duration and living conditions (garbage collection and paved streets or sidewalks) modified the effect of G. duodenalis infection on anthropometric status. Among infected children, there were statistically significant associations between weight deficit and shorter breastfeeding (PR=2.22; 95%CI: 1.56-3.14) and inadequate paving of streets and sidewalks (PR=2.00; 95%CI: 1.37-2.92), while height deficit was associated with deficient public garbage collection (PR=2.21; 95%CI: 1.31-2.51). In the linear regression, the association with the anthropometric indicators remained positive and statistically significant. The child's unhealthy living environment aggravated the negative effect of G. duodenalis infection on anthropometric status, and breastfeeding was a protective factor in the outcome.