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Background: Malnutrition has important short- and long-term consequences in children under age five. Malnutrition encompasses undernutrition, overnutrition, and the coexistence of both of them, known as the double burden of malnutrition (DBM). Objective: The aim of this study was to estimate the prevalence of undernutrition, overnutrition, and the DBM among these children at the national level and by living area in Panama. Methods: Data from the National Health Survey of Panama (ENSPA, Spanish acronym), a population-based, cross-sectional study carried out in 2019 were used. Stunting, wasting, overweight, and obesity were defined according to the cut-off points of the World Health Organization Growth Standards. Undernutrition was defined as being stunted only, wasted only or both; overnutrition was defined as being overweight only or obese only; and the DBM was defined as the co-occurence of stunting and overweight/obesity in the same child. Prevalence and general characteristics at the national level and by living area were weighted. Findings: The prevalence of undernutrition was 15.3% (95% confidence interval (CI) 13.4-17.3) at the national level and 36.6% (CI: 30.1-43.5) in indigenous areas. The prevalence of overnutrition was 10.2% (8.2-12.6) at the national level and 11.9% (CI: 8.5-16.3), 8.4% (CI: 6.5-10.7) and 8.7% (CI: 5.2-14.3) in urban, rural and indigenous areas, respectively. The DBM prevalence was 1.4% (CI: 1.0-2.1) at the national level and 2.7% (CI: 1.4-5.1) in indigenous areas. Conclusions: Undernutrition is still the most prevalent malnutrition condition in our country. Panama has the highest prevalence of overnutrition in Central America. The highest prevalence of undernutrition and DBM was found among children living in indigenous areas.

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This study aimed to analyze the temporal trend of malnutrition in children aged under five years assisted by the Brazilian Income Transfer Program from 2008 to 2019, by exploring regional inequalities and seeking to determine the impact of the economic and political crises aggravated in 2014, and the government's adherence to fiscal austerity policies on the trend. The analyses were performed using aggregated data from infants (0-23 months) and preschoolers (24-59 months), extracted from the Brazilian Food and Nutritional Surveillance System (SISVAN) assisted by the Brazilian Income Transfer Program (n = 34,272,024). Trends were analyzed using generalized linear models with age-specific mixed effects (negative binomial distribution and log linkage function). The regional inequalities were analyzed based on the grouping of Federative Units according to the Social Vulnerability Index (SVI) and the influence of crises and austerity policies on the prevalence of malnutrition by the interaction between "year" and "crisis" (2008-2013 vs. 2014-2019). There was a reduction in the prevalence of child malnutrition until mid-2013, when the trends became stationary for preschoolers and upward for infants. There was also a higher risk of malnutrition in Federative Units with medium- and high-social vulnerability, when compared to those with low-social vulnerability. The inflection points in the trends corroborate the hypothesis that the political and economic crises, and the governmental responses to these crises, negatively impacted the nutritional status of children in poverty and extreme poverty in Brazil.

O objetivo deste estudo foi analisar a tendência temporal da desnutrição em crianças menores de 5 anos de idade assistidas pelo Programa Bolsa Família entre 2008 e 2019, explorando desigualdades regionais e buscando determinar o impacto das crises econômica e política agravadas em 2014 e da adesão governamental às políticas de austeridade fiscal na tendência. As análises foram realizadas utilizando dados agregados de lactentes (0-23 meses) e pré-escolares (24-59 meses), extraídos do Sistema de Vigilância Alimentar e Nutricional (SISVAN) assistidas pelo Programa Bolsa Família (n = 34.272.024). As tendências foram analisadas por meio de modelos lineares generalizados, com efeitos mistos específicos para as faixas etárias (distribuição binomial negativa e função de ligação log). As desigualdades regionais foram analisadas a partir do agrupamento das Unidades Federativas segundo o Índice de Vulnerabilidade Social (IVS) e a influência das crises e das políticas de austeridade na prevalência de desnutrição por meio da interação entre "ano" e "crise" (2008-2013 vs. 2014-2019). Houve redução na prevalência de desnutrição infantil até meados de 2013, quando as tendências passaram a ser estacionárias para pré-escolares e ascendentes para lactentes. Observou-se, também, maior risco de desnutrição nos estados com média e alta vulnerabilidade social, quando comparadas àqueles com baixa vulnerabilidade social. Os pontos de inflexão nas tendências corroboram a hipótese de que as crises política e econômica, e as respostas governamentais a essas crises, provocaram impacto negativo sobre o estado nutricional de crianças em situação de pobreza e extrema pobreza no Brasil.

El objetivo de este estudio fue analizar la tendencia temporal de la desnutrición en niños menores de cinco años atendidos por el Programa Bolsa Familia entre los años 2008 y 2019, explorando desigualdades regionales y buscando determinar el impacto de las crisis económica y política que se intensificaron en 2014, así como la adhesión del gobierno a políticas de austeridad fiscal en esta tendencia. Los análisis se realizaron utilizando datos agregados de lactantes (0-23 meses) y preescolares (24-59 meses), extraídos del Sistema de Vigilancia Alimentaria y Nutricional (SISVAN) atendidos por el Programa Bolsa Familia (n = 34.272.024). Se analizaron las tendencias a través de modelos lineales generalizados con efectos mixtos específicos para los grupos de edad (distribución binomial negativa y función de enlace de logaritmo). Se analizaron las desigualdades regionales a partir del agrupamiento de las unidades federativas conforme el Índice de Vulnerabilidad Social (IVS) y la influencia de las crisis y de las políticas de austeridad en la prevalencia de desnutrición a través de la interacción entre "año" y "crisis" (2008-2013 vs. 2014-2019). Hubo una disminución en la prevalencia de desnutrición infantil hasta mediados de 2013, cuando las tendencias se volvieron estacionarias para preescolares y ascendentes para lactantes. También se observó un riesgo más alto de desnutrición en estados con vulnerabilidad social media y alta, en comparación con aquellos con vulnerabilidad social baja. Los puntos de inflexión en las tendencias corroboran la hipótesis de que las crisis política y económica, y las respuestas del gobierno para estas crisis, tuvieron un impacto negativo en el estado nutricional de niños en situación de pobreza y extrema pobreza en Brasil.

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OBJECTIVE: To describe the scenario of child undernutrition in Brazil and its determinants. DATA SOURCE: Narrative review of the literature with inclusion of data from population surveys, surveillance and monitoring systems, and active search in favelas and underserved communities carried out by CREN. DATA SYNTHESIS: Household surveys carried out from 1974 to 2019 indicate that undernutrition (<5 years) decreased until 2006. Underweight (W/A ≤-2 Z) and stunting (H/A ≤-2 Z) showed a decrease of 17% to 3% and 37% to 7%, respectively. After 2006, there was an increase in underweight of 53% and 76% for wasting (BMI/A ≤-2 Z), with the prevalence of stunting being stagnant at around 7%. Active search data in favelas and underserved communities show that the prevalence of stunting is 11% in those <5 years. In 2021, 30% of the population lived in poverty, 73% of which were black or brown. Stunting in black and brown children <5 years old is, respectively, 9% and 12% higher when compared to white children. Poverty decreased between 2012 and 2015 (27 to 25%), but increased again (2016=26% to 2021=30%), in parallel with food insecurity, which decreased between 2004 and 2013 (12% to 6%), but reached its worst level in the historical series (2022:15%). CONCLUSION: Despite advances, Brazil's social protection system was not able to reduce inequalities and the reversal of the trend towards decreasing child undernutrition could be observed from 2006 onwards.

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Abstract Objectives: to describe the prevalence of malnutrition (underweight, low height, and overweight) in children aged six to 59 months and its spatial distribution in the city of Beira, Mozambique. Methods: an exploratory cross-sectional study was conducted between October and November 2019, involving 407 children aged six to 59 months. The sample size calculation was based on the prevalence of height-for-age deficit. Anthropometric data were analyzed using Anthro version and the prevalence of malnutrition was presented through thematic maps generated in Quantum Geographic Information System (QGIS). Results: the main findings revealed a prevalence of 27.0% for low height/age, 7.9% for underweight/height, and 4.7% for overweight. Conclusions: the spatial distribution highlighted that both urban and peri-urban areas of the city showed similar prevalence rates for the three forms of malnutrition. The prevalence of malnutrition in Beira is high, with deficit height/age being the most significant expression, while overweight is diffusely distributed.

Resumo Objetivos: descrever a prevalência da má nutrição (baixo peso, baixa estatura e excesso de peso) em crianças de seis a 59 meses e sua distribuição espacial na cidade de Beira, Moçambique. Métodos: estudo transversal exploratório, realizado entre outubro e novembro de 2019, incluindo 407 crianças de seis a 59 meses. O cálculo da amostra foi baseado na prevalência do déficit estatura/idade. Os dados antropométricos foram analisados no Anthro e a prevalência de má nutrição apresentada por meio de mapas temáticos no Quantum Geographic Information System (QGIS). Resultados: os principais resultados mostram uma prevalência de 27,0% de baixa estatura/idade, 7,9% de baixo peso/estatura e 4,7% de excesso de peso. Conclusões: a distribuição espacial evidenciou que as áreas urbanas e periurbanas da cidade apresentavam prevalências similares das três formas de má nutrição. A prevalência da má nutrição em Beira é alta, embora o déficit estatura/idade seja a sua maior expressão, estando o excesso de peso difusamente distribuído.

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La pobreza y el hambre son elementos significativos para la prevalencia de las enfermedades emergentes, además de la ignorancia, la indigencia, las falencias sanitarias y los cambios ambientales debidos al calentamiento global. La desnutrición es consecuencia de la pobreza y ésta es causa de desnutrición. Los niños que viven en condiciones de mayor vulnerabilidad tienen un riesgo alto de morir por diarrea, neumonía y enfermedades emergentes. La mayoría son desnutridos. Su futuro en la adultez guarda relación con la desnutrición en la infancia. En el mundo 820 millones de niños padecen hambre y mueren anualmente 3 millones de menores de 5 años, según datos del Fondo de las Naciones Unidas para la Infancia. En Argentina, según datos del segundo semestre de 2022, un 39,2% de la población es pobre (Instituto Nacional de Estadísticas y Censos). El 15,5% de niños y adolescentes padecen inseguridad alimentaria y 2 millones de niños padecen hambre (Médicos sin Fronteras). La tasa de mortalidad infantil en menores de 5 años tiene una prevalencia del 0,4%. Los cambios climáticos ejercen influencia sobre la salud, produciendo cambios en la epidemiologia de las enfermedades emergentes, mientras que la insuficiente alimentación ocasiona efectos negativos sobre la salud. El calentamiento global aumenta las inundaciones y las sequías, incidiendo en la escasez de alimentos e incrementando las enfermedades emergentes. La situación debe ser revertida mediante el desarrollo sostenido de la educación, el bienestar social y los proyectos sanitarios. (AU)

Poverty and hunger are significant elements for the prevalence of emerging diseases, in addition to ignorance, indigence, sanitary deficiencies and environmental changes due to global warming. Malnutrition is a consequence of poverty and poverty is a cause of malnutrition. Children living in more vulnerable conditions are at greater risk of dying from diarrhea, pneumonia and emerging diseases. Most are malnourished. Their future in adulthood is related to malnutrition in childhood. Worldwide, 820 million children suffer from hunger and 3 million children under 5 die annually (United Nations Children's Fund). In Argentina, according to data from the second half of 2022, 39.2% of the population is poor (Instituto Nacional de Estadísticas y Censos). 15.5% of children and adolescents are food insecure and 2 million children are hungry (Médecins Sans Frontières). The infant mortality rate in children under 5 years of age has a prevalence of 0.4%. Climate change influences health, producing changes in the epidemiology of emerging diseases, while insufficient food has negative effects on health. Global warming increases floods and droughts, leading to food shortages and increasing emerging diseases. The situation must be reversed through sustained development of education, social welfare and health projects. (AU)

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BACKGROUND: To date there are no studies with estimation of multiple types of double burden of individual malnutrition (DBIM) and evaluation of associated determinants. OBJECTIVE: To estimate the prevalence and social determinants associated with the double burden of individual malnutrition in children aged 1-4 years. METHODS: A cross-sectional study was conducted using data from Colombian nutritional heath survey ENSIN 2015. Global DBIM was analysed on the basis of excess weight and the presence of one or more micronutrient deficiencies (vitamin A, D, zinc, or iron) and/or stunting. Specific DBIM pairs were also analysed. Logistic regression was used to evaluate variables associated with DBIM. RESULTS: The sample consisted of 6807 children. The overall DBIM prevalence was 4%. The prevalence of DBIM in children affected by overweight or obesity was 75%. Male sex was associated with global DBIM (OR 2.19 (1.52-3.16) p = 0.000), indigenous children presented 6 times the DBIM due to stunting (OR 6.17 (1.67-22.7) p = 0.007). Children from the Atlantic (OR 3.95 (1.23-12.61) p = 0.021), central (OR 8.80 (2.38-32.49) p = 0.001) and Pacific (OR 4.19 (1.21-14.49) p = 0.024) regions, had a higher chance of DBIM due to iron deficiency. Children from east region (OR 3.03 (1.12-8.16) p = 0.029) and Bogotá city (OR 4.15 (1.65-12.32) p = 0.004) were associated with DBIM due to vitamin D deficiency. CONCLUSIONS: Children with overweight or obesity had a high likelihood of presenting micronutrients deficiencies or stunting. Ethnicity, male sex and country region of residence were variables associated with overall DBIM or specific DBIM.

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In developing countries, child malnutrition is a serious public health problem. Brazil is a country that has several projects to combat hunger and malnutrition in early childhood, but 2021 was a year with the highest number of hospitalizations of children up to 60 months of life in the last 13 years. Factors such as social disparities and the Covid-19 pandemic contributed to this scenario.

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Abstract Objectives: evaluate the relationship between family's food and nutrition insecurity (FNI) and the social network of malnourished children. Methods: cross-sectional study with 92 children, included in the economic class D-E. For the analysis of the children's social network, the mothers answered four simple questions. To investigate the FNI, the Brazilian Scale of Food Insecurity was used. The association between variables was analyzed by Poisson regression with robust analysis of variances. Results: 56.5% of the children had a weak social network (<10 individuals), and the prevalence of FNI was 72.8%. An inverse association was observed between children of the daily social network and FNI family (OR=0.94; CI95%=0.89-0.99], p=0.03). The number of individuals in the children's daily social network was negatively associated with the likelihood of FNI. The mother's educational level was also related to FNI (OR=2.20 [CI95%=1.11-4.34]; p=0.02), being the child up to 2.2 times more likely to be in FNI when the mother has less than four years of study. Conclusion: these results suggest that social network is associated with the FNI of malnourished children. Interventions designed to strengthen instrumental and other forms of support among small social networks can improve the health/nutrition of malnourished children with FNI.

Resumo Objetivos: avaliar a relação entre a insegurança alimentar e nutricional (IAN) da família e a rede social de crianças desnutridas. Métodos: estudo transversal com 92 crianças, inseridas na classe econômica D-E. Para a análise da rede social das crianças, as mães responderam quatro perguntas simples. Para investigar a IAN foi utilizada a Escala Brasileira de Insegurança Alimentar. A associação entre as variáveis foi analisada por regressão de Poisson com análise robusta das variâncias. Resultados: 56,5% das crianças apresentaram rede social fraca (<10 indivíduos), e a prevalência de IAN foi de 72,8%. Foi observada uma associação inversa entre rede social diária das crianças e IAN da família (RP=0,94, [IC95%=0,89-0,99]; p=0,03). O número de indivíduos na rede social diária das crianças se associou negativamente com a probabilidade de IAN. O nível de escolaridade materno também estava relacionado com a IAN (RP=2,20 [IC95%=1,11-4,34]; p=0,02), tendo a criança até 2,2 vezes mais probabilidade de estar em IAN quando a mãe apresenta menos de quatro anos de estudo. Conclusão: esses resultados sugerem que a rede social está associada à IAN de crianças desnutridas. Intervenções destinadas a fortalecer maneiras instrumentais e outras formas de apoio entre pequenas redes sociais podem melhorar a saúde/nutrição de crianças desnutridas com IAN.

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Background: Among the social inequalities that continue to still surpasses the basic rights of several citizens, political and environmental organizations decisively "drag" the "ghost" of hunger between different countries of the world, including Brazil. The COVID-19 pandemic has increased the difficulties encountered in fighting poverty, which has led Brazil to a worrying situation regarding its fragility in the fight against new pandemics. Objectives: The present study aims to estimate, compare, and report the prevalence of mortality due to child malnutrition among the macro-regions of Brazil and verify possible associations with the outcome of death by COVID-19. This would identify the most fragile macro-regions in the country with the greatest need for care and investments. Methods: The prevalence of mortality was determined using data from the federal government database (DataSus). Child malnutrition was evaluated for the period from 1996 to 2017 and COVID-19 was evaluated from February to December 2020. The (dis)similarity between deaths from malnutrition and COVID-19 was evaluated by proximity matrix. Results: The North and Northeast regions have above average number of deaths than expected for Brazil (p < 0.05). A prospective analysis reveals that the distribution of the North and Northeast macro-regions exceeds the upper limit of the CI in Brazil for up to the year 2024 (p < 0.05). The proximity matrix demonstrated the close relationship between deaths from COVID-19 and malnutrition for the Northern region followed by the Northeast region. Conclusions: There are discrepancies in frequencies between macro-regions. Prospective data indicate serious problems for the North and Northeast regions for the coming years. Therefore, strategies to contain the outcome of health hazards must be intensified in the macro-regions North and Northeast of the country.

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