Abstract

A cross-sectional study was conducted in 1996 to estimate the prevalence of anemia in a stratified sample of 603 preschool children and identify factors associated with the disease. Hemoglobin assays were conducted in finger-prick blood samples using a Hemocue hemoglobinometer. Anemia was defined as hemoglobin below 11.0 g/dl. Logistic regression analysis was used to evaluate the potential associations. Observed anemia prevalence was 46.3%. Associated factors were: the 6-12-month and 12-24-month age brackets, the lowest tertiles for iron density and protein content dietary intake, and any degree of deficit in the height-for-age anthropometric parameter. Inadequate physical, sanitary, and environmental conditions in the home were associated with a significantly increased risk of anemia. Anemia constitutes an important health problem in this study's child population. Improvements in living conditions and dietary quality could contribute to a reduction in anemia prevalence.

Obesity prevalence is increasing worldwide, with inadequate nutrition and physical inactivity as the main risk factors. The objective was to evaluate the impact of a nutritional intervention and physical activity program on body mass index (BMI) and waist circumference (WC) in adult women. This quasi-experimental study, lasting 12 months, enrolled 69 adult women that reported physical activity three times a week, besides receiving nutritional counseling and lectures on healthy living, evaluated at baseline and at 6 and 12 months of follow-up. Lower levels of physical activity and higher intake of high-risk foods were associated with a 2.28 cm increase in mean WC, has compared to higher physical activity and lower intake of high-risk foods (p < 0.01). Lower levels of physical activity associated with high intake of protective foods increased the mean BMI by 0.68 kg/m(2), as compared to higher physical activity and high intake of protective foods. The intervention was positively associated with the target parameters.

Estudo transversal, envolvendo 2.001 crianças das áreas rural e urbana de dez municípios da Bahia, Brasil. Avalia-se a relação entre os gradientes da desigualdade e os fatores do ambiente familiar, de saúde e nutrição, utilizando-se a regressão logística multinomial multivariada. As crianças do tercil intermediário das condições de vida e aquelas do tercil mais pobre têm chances significantes e crescentes de viverem na área rural, em domicílio chefiado pela mulher, ter o pai desempregado, mãe com baixa escolaridade, de dormir com mais de uma pessoa na mesma cama, déficit linear grave e consumir retinol abaixo da mediana. A existência de mais de uma criança no domicílio, ser portadora de déficit ponderal e ter o consumo de lipídeo abaixo da mediana foram eventos também significantes para as crianças mais pobres. A anemia foi identificada entre as crianças do tercil intermediário. A desigualdade expõe as crianças a chances crescentes de inadequado estado de saúde e nutrição. Políticas de saúde podem implementar medidas emergenciais no sentido de minimizar os males impostos pela desigualdade à saúde e nutrição na infância.

Objective: To estimate the prevalence and identify associated factors of overweight in adolescents. Methods: a cross-sectional study design was employed. 426 adolescents, 10 to 18 years old, from the city of Salvador, northeast region of Brazil were selected in a three stage stratified random sampling scheme. Data on the frequency of food consumption and physical activity, sexual maturation, anthropometric measurements and covariates were collected. The nutritional status was classified with cutoff points based on body mass index mean values from Brazilian children and adolescents, while the secondary sexual characteristics were selfreported. The adolescents who performed more than 300 minutes of moderate physical activity per week were considered physically active. Ethnicity was classified by skin color and physical attributes. Results: Total prevalence of overweight was of 14.3%. Early sexual maturation (Prevalence Rate -/PR/_adjusted =2.12, /CI95%/=1.10-4.05) and physical inactivity (/PR/_adjusted =1.85, /CI95%/=1.01-3.41), adjusted for age (PR/adjusted =1.77, /CI0.97%/=3.24) were independently associated with overweight in adolescents from Salvador, Bahia. Conclusions: overweight was high among adolescents in Salvador. Public prevention policies should be adopted in order to early prevent overweight through improved encouragement to continuous and systematic practice of physical activity at population level.

Objective: To investigate the determinants of mild-to-moderate malnutrition in preschoolers. Design: Cross-sectional study conducted in October and November 1996, with a representative sample of 1740 children less than 5 years old from the city of Salvador, situated in the Brazilian Northeastern region. Socio-economic and dietary data were collected through a structured questionnaire. Anthropometric measures were performed in duplicate and data analysis was based upon the hierarchical model approach. Logistic regression analysis was used to estimate the prevalence ratio and to identify the determinants of mild-to-moderate deficits in weight-for-age and height-for-age Z-scores. Results: Family monthly income under US$67.00 per capita and family headed by a woman were the main basic determinants of mild-to-moderate weight-for-age and height-for-age deficits in the studied children. Household agglomeration, an underlying determinant, was associated with weight-for-age and height-for-age deficits. Among the immediate determinants, age above 6 months and dietary caloric availability in the lowest tertile (,930 kcal day 21 ) were also associated with weight-for-age deficits. In addition to these, hospitalisation in the 12 months preceding the interview was shown to be a predictor of mild-to-moderate weightfor-age and height-for-age deficits. Conclusion: Adverse social and economic factors interact with family environmental factors to define food consumption and morbidity patterns that culminate in a high prevalence of mild-to-moderate malnutrition. The strengthening and restructuring of nutrition and healthcare actions, the definition of public policies that improve family income, and the adequate insertion of women in the labour market are possible strategies to reduce mild-to-moderate malnutrition and to sustain the decline already observed in severe malnutrition.

Background Weight stigma is a phenomenon associated with adverse behavioural and psychological consequences. Although experts suggest that its increase during the COVID-19 pandemic may be associated with worse health outcomes for people with obesity, a thorough analysis of the main findings and gaps is still needed when relating to this subject. Objective We aim to answer three questions: (1) How does weight stigma manifest in the COVID-19 pandemic? (2) How can weight stigma affect people with overweight or obesity in times of COVID-19? (3) What are the perceptions and experiences of weight stigma during the pandemic in individuals who experience overweight or obesity? Methods We conducted a scoping review of studies addressing weight stigma and the COVID-19 pandemic in electronic databases (Medline/PubMed, CINAHL, Embase, PsycInfo, BVS/Lilacs, Scopus, Web of Science, Google Scholar, and OpenGrey) published until 10th August 2021. All relevant studies were reviewed in full by two researchers. In addition, a narrative synthesis of the data was performed. Results The results included 35 studies out of 8,090 records and identified 13 original research publications, 14 text and opinion papers, and 6 narrative reviews. The results revealed the presence of weight stigma in the media, healthcare settings, interpersonal relationships, and public campaigns during the COVID-19 pandemic. The evidence of increasing weight stigma in the COVID-19 outbreak is limited, though. Many weight discrimination consequences were described during this time, such as impairment in accessing healthcare, worst COVID-19 outcomes, and maladaptive eating. However, only maladaptive behaviours and decline in mental health outcomes were demonstrated empirically in all age groups. This effect occurred regardless of body mass index, but people with high body weight were more likely to experience weight stigma. For some people with obesity, weight stigma in the pandemic has made activities of daily routine difficult. Conclusions The results suggest that weight stigma in the COVID-19 pandemic occurs in several settings; moreover, although weight discrimination impacts mental health, whether before or during the pandemic, this influence between the pandemic and pre-pandemic scenario is still unclear. Therefore, more research is required in this field while the pandemic lasts, especially with people with obesity. Plain English summary Overall, people with overweight or obesity are more vulnerable to weight stigma than individuals without overweight. In addition, weight stigma refers to discrimination or prejudice based on a person’s weight and relates to several consequences, for instance, poor healthcare treatment and mental health problems. In the COVID-19 outbreak, these weight stigma effects tend to become even more critical because they may be associated with unfavourable COVID-19 outcomes and eating disorder risks. Thus, it is crucial to investigate how weight stigma occurs during the pandemic and its impact on health, mainly for the most affected people. We investigated 35 studies published between 2019 and 2021 to map and explore how weight stigma was manifested and the related consequences for people with overweight or obesity in the COVID-19 pandemic. Only about a third of them were quantitative or qualitative, limiting the evidence of weight stigma in the COVID-19 context. The available evidence suggests that weight stigma manifests in several settings such as media, healthcare, public campaigns, and is more common in people with excess weight. However, weight discrimination experiences before or during the pandemic were associated with adverse psychological and behavioural consequences across all age groups, regardless of body weight. For some people with obesity, for instance, weight stigma made it difficult to accomplish their activities of daily routine. Nevertheless, it remains unclear whether weight stigma has increased in the pandemic, thus, more studies are required, especially about people with overweight or obesity.

Following publication of the original article [1], the authors identified a typo in the number of original research publications and text and opinion papers included in this review in the following sections:In the Abstract, the number of original research publications should be "14". In the Abstract and Results section (second paragraph and Table 1) the number of text and opinion papers should be "15". In Fig. 2, the number of text and opinion papers published from July to December/2020 should be "7". In Table 2, the number of "Structural weight stigma" publications should be 25 and the number of "Weight stigma" nomenclature should be 18.The correct Tables 1, 2 and Fig. 2 have been included in this correction, and the original article has been updated.