Background Infant mortality is considered an important and sensitive health indicator in several countries, especially in underdeveloped and developing countries. Most of the factors influencing infant mortality are interrelated and are the result of social issues. Therefore, this study performed an investigation of the influence of the MHDI and maternal education on infant mortality in a capital in the extreme south of Brazil. Methods It is a retrospective cohort study with data on births and deaths in the first year of life for the period of 2000–2017. The association between the independent variables and the outcome was done by bivariate analysis through simple Poisson regression. The variables that can potentially be considered confounding factors were used in a multiple Poisson regression for robust variances - adjusted model. Results The study included 317,545 children, of whom 3107 died. The medium MHDI showed associated with infant death in the first year of life. Maternal education, individually and jointly analyzed with the MHDI, showed association with the outcome of infant death in the first year of life, particularly for children of mothers with lower maternal education (p < 0.001). In relation to other related factors, maternal age; number of Prenatal Care Consultations; gestational age, weight, gender and Apgar Index (5th minute) of the newborn showed association with IM (p < 0.001). Conclusions The HDI is considered a good predictor of infant mortality by some authors and the analyzes of the present study also confirm an association of the medium MHDI and its low MHDIE component with infant mortality. In addition, it was maternal education with less than 8 years of study that that demonstrated a higher risk of death, revealing itself to be a social determinant with a relevant impact on infant mortality. Thus, it is possible to conclude that maternal education is available information, and it is superior to the MHDI to assess the infant mortality outcome.
Congenital anomalies (CA) contribute to disabilities and health conditions throughout life. Furthermore, they can cause emotional distress to the mothers and children, who may also experience limitations in individual and social development. This study investigated the prevalence of CA and the relationship with maternal education and age according to local development in the extreme south of Brazil. This is a retrospective observational study with birth data from the Live Birth Information System from 2000 to 2017. The association between age and maternal education with the presence of CA was verified using multiple Poisson regression for robust variances in models adjusted for those variables with a preliminary significant association. A total of 5131 (1.5%) had some CA identified at birth between 2000 and 2017. Only advanced age (≥36 years) was associated with CA regardless of macro-region development (p ≤ 0.001). The highest risk was observed in regions with medium development (RR = 1.60; 95% CI 1.30–1.97). Maternal education (<8 years of study) was associated with CA only in mothers from macro-regions with very high development (RR = 1.27; 95% CI 1.03–1.54). These analyses confirmed that women of advanced age are at greater risk of having children with a CA regardless of maternal education and local development, but social characteristics can also have an influence, as regions with higher development had lower prevalence of CA.
Background: Infant mortality is considered an important and sensitive health indicator in several countries, especially in underdeveloped and developing countries. Most of the factors influencing infant mortality are interrelated and are the result of social issues. Therefore, this study performed an investigation of the influence of the MHDI and maternal education on infant mortality in a capital in the extreme south of Brazil. Methods: It is a retrospective cohort study with data on births and deaths in the first year of life for the period of 2000-2017. The association between the independent variables and the outcome was done by bivariate analysis through simple Poisson regression. The variables that can potentially be considered confounding factors were used in a multiple Poisson regression for robust variances - adjusted model. Results: The study included 317545 children, of whom 3107 died. The medium MHDI showed associated with infant death in the first year of life. Maternal education, individually and jointly analyzed with the MHDI, showed association with the outcome of infant death in the first year of life, particularly for children of mothers with lower maternal education (p<0.001). In relation to other related factors, maternal age; number of Prenatal Care Consultations; gestational age, weight, gender and Apgar Index (5th minute) of the newborn showed association with IM (p<0.001). Conclusions: The HDI is considered a good predictor of infant mortality by some authors and the analyzes of the present study also confirm an association of the medium MHDI and its low MHDIE component with infant mortality. In addition, it was maternal education with less than eight years of study that that demonstrated a higher risk of death, revealing itself to be a social determinant with a relevant impact on infant mortality. Thus, it is possible to conclude that maternal education is available information, and it is superior to the MHDI to assess the infant mortality outcome.
Background: Infant mortality is considered an important and sensitive health indicator in several countries, especially in underdeveloped and developing countries. Most of the factors influencing infant mortality are interrelated and are the result of social issues. Therefore, this study performed an investigation of the influence of the MHDI and maternal education on infant mortality in a capital in the extreme south of Brazil. Methods: It is a retrospective cohort study with data on births and deaths in the first year of life for the period of 2000-2017. The association between the independent variables and the outcome was done by bivariate analysis through simple Poisson regression. The variables that can potentially be considered confounding factors were used in a multiple Poisson regression for robust variances - adjusted model. Results: The study included 317545 children, of whom 3107 died. The medium MHDI showed associated with infant death in the first year of life. Maternal education, individually and jointly analyzed with the MHDI, showed association with the outcome of infant death in the first year of life, particularly for children of mothers with lower maternal education (p<0.001). In relation to other related factors, maternal age; number of Prenatal Care Consultations; gestational age, weight, gender and Apgar Index (5th minute) of the newborn showed association with IM (p<0.001). Conclusions: The HDI is considered a good predictor of infant mortality by some authors and the analyzes of the present study also confirm an association of the medium MHDI and its low MHDIE component with infant mortality. In addition, it was maternal education with less than eight years of study that that demonstrated a higher risk of death, revealing itself to be a social determinant with a relevant impact on infant mortality. Thus, it is possible to conclude that maternal education is available information, and it is superior to the MHDI to assess the infant mortality outcome.
Introdução: A pandemia de coronavírus 2019 (COVID-19) trouxe mudanças nas organizações de trabalho em todas as esferas, exigindo a reestruturação das rotinas e das equipes para atender essa nova demanda. O objetivo foi relatar a experiência do Serviço de Nutrição e Dietética (SND) do Hospital de Clínicas de Porto Alegre (HCPA) e as mudanças vivenciadas durante o primeiro ano de pandemia de COVID-19. Métodos: Trata-se de um relato de experiência referente à atuação do SND do HCPA de abril de 2020 a março de 2021. Resultados: Houve aumento do absenteísmo no SND, necessitando ajustes de processos e remanejos. Também houve aumento do consumo de dietas enterais pela gravidade da situação clínica dos pacientes internados, a redução da capacidade do refeitório de funcionários para seguir os protocolos de distanciamento, o uso de utensílios descartáveis, mensagens motivacionais aos pacientes, ajustes no processo do banco de leite humano, modificações nos protocolos de avaliação nutricional ao paciente internado e atendimento ambulatorial remoto. Conclusão: Esta experiência proporcionou ao SND um grande legado de aprendizagem e superação, exigindo importantes adaptações, mantendo a qualidade do atendimento e fortalecendo as relações de trabalho em equipe.
Background: Infant mortality is considered an important and sensitive health indicator in several countries, especially in underdeveloped and developing countries. Most of the factors influencing infant mortality are interrelated and are the result of social issues. Thus, this study investigated the influence of the Municipal Human Development Index (MHDI) of the residence macro-region compared to maternal education on infant mortality in a capital city in the extreme south of Brazil. Methods: It is a retrospective cohort study with data on births and deaths for the period of 2000-2017. The association between the independent variables and the outcome was done by bivariate analysis through simple Poisson regression. Those with significant association (p<0.001) were used in a multiple Poisson regression for robust variances - adjusted model. Results: The study included 311361 children, of whom 2271 died. Maternal education, individually and jointly analyzed with the MHDI, showed association with the outcome of infant death in the first year of life, particularly for children of mothers with lower maternal education (p<0.001). In relation to other related factors, maternal age; number of Prenatal Care Consultations; gestational age, weight, gender and Apgar Index (5th minute) of the newborn showed association with IM (p<0.001). Conclusions: The lower the HDI classification of the macro-region, the worse were the socioeconomic and demographic conditions, but the results presumably indicated that an individual maternal characteristic supplants the environment in which the family resides as a factor of protection to infant mortality, reinforcing the relevance of maternal education as a social determinant in health.
Background Infant mortality is considered an important and sensitive health indicator in several countries, especially in underdeveloped and developing countries. Most of the factors influencing infant mortality are interrelated and are the result of social issues. Therefore, this study performed a parallel investigation of the influence of the MHDI on the macro-region of residence and maternal education on infant mortality in a capital in the extreme south of Brazil. Methods It is a retrospective cohort study with data on births and deaths in the first year of live for the period of 2000-2017. The association between the independent variables and the outcome was done by bivariate analysis through simple Poisson regression. The variables that can potentially be considered confusing were used in a multiple Poisson regression for robust variances - adjusted model. Results The study included 311361 children, of whom 2271 died. Maternal education, individually and jointly analyzed with the MHDI, showed association with the outcome of infant death in the first year of life, particularly for children of mothers with lower maternal education (p<0.001). In relation to other related factors, maternal age; number of Prenatal Care Consultations; gestational age, weight, gender and Apgar Index (5th minute) of the newborn showed association with IM (p<0.001). Conclusions Although the HDI is considered a good predictor of infant mortality by some authors, the analyses of the present study did not present an association between the MHDI and death in the first year of life after adjustments for the other variables. Unlike the MHDI, maternal education under eight years of study maintained an association with infant death, proving to be a social determinant with relevant impact on infant mortality. Thus, it is concluded that maternal education, individually, is higher than the MHDI to assess the outcome of infant mortality and is easily accessible information.
Background Nutrition, associated with nutritional status, influences the growth of children. This study aimed to identify the association between maternal diet quality and the diet and body composition of their children. Methods This is a prospective longitudinal study with mother-child pairs. To assess diet quality, nutritional status, and socioeconomic data, two interviews in the children’s first and third months of life (2011–2016) and one interview when children were of preschool age (2017–2019) were performed. Diet quality was assessed based on daily food consumption and frequency, considering: 1) food groups, based on the Brazilian food pyramid; 2) level of processing, according to the NOVA classification (unprocessed and/or minimally processed foods, processed foods and ultra-processed foods). One-way ANOVA with Tukey post hoc and Kruskal-Wallis with Dunn’s post hoc tests were used to evaluate the influence of factors on children’s diet quality. Pearson and Spearman’s correlations were used to evaluate the relationship between maternal and children’s diet quality, maternal schooling level, and child age. Along with the nutritional assessment of children, multiple linear regression models assessed the impact of covariables on maternal and children’s diet quality. Results Eighty-three mother-child pairs participated in this study. The more frequent the maternal consumption of unprocessed and/or minimally processed foods, the higher the consumption of these foods by children (r = +0.30; p = 0.006) and the lower their subscapular skinfold (SSF) thickness (p = 0.011; β = -0.278). On the other hand, the higher the maternal consumption of ultra-processed foods, the higher the children’s tricipital skinfold (TSF) thickness (p = 0.010; β = +0.274) and SSF (p = 0.043; β = +0.222). Conclusion Maternal diet quality was associated with the diet and body composition of children.
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