Programa Nacional de Suplementação de Ferro nos primeiros mil dias de vida em Salvador (BA) / National Iron Supplementation Program in the first thousand days of life in Salvador (BA) / Programa Nacional de Suplementación de Hierro en los primeros mil días de vida en Salvador, Bahía

Os primeiros mil dias de vida correspondem ao período desde a concepção até os primeiros dois anos após o nascimento. Durante essa fase, as necessidades nutricionais são elevadas devido às aceleradas alterações fisiológicas inerentes ao período, e o ferro está entre os micronutrientes mais requisitados. Considerando que a anemia, em especial por deficiência de ferro, é um problema de saúde pública, principalmente nessa fase da vida, foi instituído em 2005 o Programa Nacional de Suplementação de Ferro (PNSF). No entanto, há uma lacuna de estudos que analisam sua execução em municípios da Bahia. Por esse motivo, este estudo observacional descritivo objetivou avaliar a cobertura real do PNSF entre gestantes e crianças de 6 a 24 meses de vida, público-alvo do programa, no município de Salvador (BA), entre os anos de 2017 e 2022, a partir da análise de dados secundários disponibilizados pelo Ministério da Saúde. A cobertura real do PNSF ocorreu de forma insatisfatória no município, alcançando quantidades inferiores a 7% das gestantes e 1% das crianças, entre os anos de 2019 e 2021, e valores iguais a 0% para ambos os grupos nos anos de 2017, 2018 e 2022. Tais resultados podem ser motivados por diferentes fatores, como problemas operacionais na gestão/monitoramento do programa e/ou a baixa adesão da população. Destaca-se, assim, a necessidade da constante avaliação do desempenho do PNSF no intuito de identificar suas limitações e propor melhorias em sua execução.

The first thousand days of life correspond to the period from conception to the first two years after birth. During this phase, nutritional needs are high due to the accelerated physiological changes inherent to the period, and iron is among the most required micronutrients. Considering that anemia, especially due to iron deficiency, is a public health problem, especially at this stage of life, the National Iron Supplementation Program (PNSF) was instituted in 2005. However, there is a lack of studies that analyze its execution on municipalities in Bahia (BA). For this reason, this descriptive observational study aimed to evaluate the coverage of the PNSF among pregnant women and children between 6 and 24 months of life, the target audience of the program, in the municipality of Salvador (BA), between 2017 and 2022, based on the analysis of secondary data provided by the Ministry of Health. The actual coverage of the PNSF occurred unsatisfactorily in the municipality, reaching numbers below 7% of pregnant women and 1% of children, between the years 2019 and 2021, and values equal to 0% for both groups in the years 2017, 2018, and 2022. Such results can be due to different factors, such as operational problems in the management/monitoring of the program and/or the low adherence of the population. Thus, we highlight the need for constant evaluation of the PNSF performance to identify its limitations and propose improvements in its execution.

Los primeros mil días de vida corresponden al período que va desde la concepción hasta los primeros dos años después del nacimiento. Durante esta fase, las necesidades nutricionales son elevadas, debido a los cambios fisiológicos acelerados propios del período, y el hierro es uno de los micronutrientes más requeridos. Como la anemia, especialmente por deficiencia de hierro, es un problema de salud pública, especialmente en esta etapa de la vida, en 2005 se instituyó el Programa Nacional de Suplementación con Hierro (PNSF, por sus siglas en portugués). Sin embargo, faltan estudios que analicen su ejecución en municipios de Bahía (Brasil). Por esta razón, este estudio observacional descriptivo tuvo por objetivo evaluar la cobertura real del PNSF en mujeres embarazadas y en niños de entre 6 y 24 meses de vida, público objetivo del programa, en la ciudad de Salvador (Bahía), entre 2017 y 2022, con base en el análisis de datos secundarios proporcionados por el Ministerio de Salud. La cobertura real del PNSF se presentó de manera insatisfactoria en el municipio, alcanzando cifras inferiores al 7% de embarazadas y al 1% de niños, entre los años 2019 y 2021, con valores iguales al 0% para ambos grupos analizados en los años 2017, 2018 y 2022. Estos resultados pueden ser causados por diferentes factores, entre ellos, problemas operativos en la gestión/seguimiento del programa y/o baja adherencia de la población. Así, se destaca la necesidad de una evaluación constante del desempeño del Programa para identificar sus limitaciones y proponer mejoras en su ejecución.

Analysis of the association between anxiety, depression and obesity in individuals with metabolic syndrome.

Objective. The aim of this study was to verify the association between anxiety, depression, and obesity in metabolic syndrome (MetS) patients. Methods. It is a retrospective study with 142 volunteers with MetS of both genders and age ≥20 years. Every subject responded to the hospital anxiety and depression scale (HADS). Data are shown as absolute and relative frequencies for categorical variables and a Pearson's chi-square test was performed to verify the association between anxiety or depression and body mass index (BMI). The value of p≤0.05 was considered to be statistically significant. Results. The frequency of anxiety and depression was 18.3% (n=26) and 12% (n=17), respectively. There was no significant association between anxiety or depression and BMI (p=0.481 and 0.079, respectively) in individuals with MetS. Conclusions. Although no association among anxiety, depression and obesity was found, the psychological factors should be added to the MetS treatment contributing to a more effective health care in order to find answers to manage and adhere to the conducts carried out from a more humanized and transdisciplinary perspective. The data also indicate that large sample and case-control methodology are required to obtain a more specific evaluation of this association.

Birth weight for gestational age, recovery of growth and anthropometric profile of pre-school children born full term: a follow-up study.

INTRODUCTION: Being born small for gestational age (SGA) implies an increase in the childhood morbidity and mortality rates, in addition to being related to changes in the pattern of growth and body composition, which may be associated with the development of risk factors linked to metabolic diseases. Aim of the study: To describe the development of anthropomorphic indicators of children born at full term, small (SGA) or appropriate for gestational age (AGA), up to the sixth month of life, and again when they reached school-age. MATERIAL AND METHODS: This was a prospective cohort study, with 31 children (19 SGA, and 12 AGA), recruited in public maternity hospitals. Subsequently they were attended at an outpatient clinic on a monthly basis, by a multidisciplinary team in the first year of life. These children were re-evaluated when they reached school-age. RESULTS: Both groups showed high percentages of exclusive breastfeeding in the first months of life. Group SGA showed intense early recovery of the growth indicators, characterizing recovery of growth in the first 6 months of life. However, at school-age, they were still smaller, lighter, with a lower quantity of body fat and muscle mass than those born AGA. There was predominance of appropriate anthropometric growth and body composition indicators at school-age, even in Group SGA. Conclusion: At school-age, the children of this study showed no major alterations related to anthropometry.

Indicadores antropométricos na predição de síndrome metabólica em crianças e adolescentes: um estudo de base populacional / Anthropometric indicators for prediction of metabolic syndrome in children and adolescents: a population-based study

Avaliar a capacidade dos indicadores antropométricos e pontos de corte na predição da síndrome metabólica (SM) em crianças e adolescentes. Métodos: estudo transversal, envolvendo amostra probabilística de 879 crianças e adolescentes de ambos os sexos. Dados metabólicos, antropométricos e sociodemográficos foram coletados. Para diagnóstico da SM, foi utilizada a definição modificada do National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATP III). A capacidade dos indicadores antropométricos na predição do SM foi avaliada por meio da curva Receiver Operating Characteristic (ROC). Resultados: a prevalência de SM foi de 6,6 por cento. Na predição da SM, a área sob a curva ROC foi de 0,79 (0,72; 0,85) para índice de massa corporal (IMC), de 0,79 (0,73; 0,85) para circunferência da cintura (CC) e de 0,83 (0,78; 0,89) para circunferência da cintura corrigida pela estatura (RCE). O ponto de corte identificado para RCE na predição da SM foi de 0,448 (ambos os gêneros). Conclusões: todos os indicadores antropométricos utilizados, com pequena superioridade da RCE, foram bons preditores da SM. O ponto de corte identificado para RCE na predição da SM aproxima-se daquele proposto por alguns autores como universal. Sugere-se o uso deste índice dado a sua simples operacionalidade em estudos clínicos e epidemiológicos como preditor da SM...

Objectives: to assess the capacity of anthropometric indicators to predict metabolic syndrome in children and adolescents and to establish cut-off points. Methods: a cross-sectional study was carried out with a probabilistic sample of 879 children and adolescents of both sexes. Metabolic, anthropometric and socio-demographic data were gathered. Diagnosis of metabolic syndrome was carried out using the modified definition of the National Cholesterol Education Program 's Adult Treatment Panel III (NCEP-ATPIII). The capacity of anthropometric indicators to predict metabolic syndrome was assessed using the Receiver Operating Characteristic (ROC) curve. Results: the prevalence of metabolic syndrome was 6.6 percent. For prediction of metabolic syndrome, the area under the ROC curve was 0. 79 (0. 72; 0.85) for body mass index, 0. 79 (0.73; 0.85) for waist circumference and 0.83 (0.78; 0.89) for waist circumference corrected for height. The cut-off point identified for waist circumference corrected for height for prediction of metabolic syndrome was 0.448 (for both sexes). Conclusions: all anthropometric indicators used were good predictors of metabolic syndrome, with slightly better results for waist circumference corrected for height. The cut-off point identified for waist circumference corrected for height for prediction of metabolic syndrome was similar to the standard proposed by other authors. It is suggested that this indicator be used in clinical and epidemiological studies as a predictor of metabolic syndrome, since it is simple to measure...