Underlying and proximate determinants of diarrhoea-specific infant mortality rates among municipalities in the state of Céara, north-east Brazil: an ecological study.

This ecological study examines the variations in diarrhoea-specific infant mortality rates among municipalities in the State of Ceará, north-east Brazil, using data from a community health workers' programme. Diarrhoea is the main cause of postneonatal deaths in Ceará, and diarrhoea mortality rates vary substantially among municipalities, from 7 to 50 per thousand live births. To determine the inter-relationships between potential predictors of diarrhoea-specific infant mortality, eleven variables were classified into proximate determinants (i.e. adequate weight gain and exclusive breast-feeding in first 4 months) and underlying determinants (i.e. health services and socioeconomic variables). The health services variables included percentage with prenatal care up-to-date, participation in growth monitoring and immunization up-to-date, while the socioeconomic factors included female illiteracy rate, per capita gross municipality product and percentage of households with low income, percentage of households with inadequate water supply and inadequate sanitation, and urbanization. Using linear regression analysis variables were included from each group to build regression models. The significant determinants of variability in diarrhoea-specific infant mortality between municipalities were prevalence of infants exclusively breast-feeding, percentage of infants with adequate weight gain, percentage of pregnant women with prenatal care up-to-date, female illiteracy rate and inadequate water supply. These findings suggest that community-based promotion of exclusive breast-feeding in the first 4 months and care-giving behaviours that prevent weight faltering, including weaning practices and feeding during and following diarrhoea episodes, may further reduce municipality-level diarrhoea-specific mortality. Primary heath care strategies addressing these two proximate determinants provide only a partial solution to reducing diarrhoeal disease mortality. Improvements in municipal health services (prenatal care) and socioeconomic status variables, including water supply and maternal education, can also contribute to reduction of infant mortality due to diarrhoea. These results may be used by government health officials to set priorities by considering not only the strength of the association between selected risk factors and diarrhoea mortality rates, but also the prevalence of the risk factors being considered at the municipality level. Finally, the methods used are applicable to other settings with community-based primary health care decentralized to the state or municipal level.

Relationship between health services, socioeconomic variables and inadequate weight gain among Brazilian children.

This ecological analysis assessed the relative contribution of behavioural, health services and socioeconomic variables to inadequate weight gain in infants (0-11 months) and children (12-23 months) in 140 municipalities in the State of Ceara, north-east Brazil. To assess the total effect of selected variables, we fitted three unique sets of multivariate linear regression models to the prevalence of inadequate weight gain in infants and in children. The final predictive models included variables from the three sets. Findings showed that participation in growth monitoring and urbanization were inversely and significantly associated with the prevalence of inadequate weight gain in infants, accounting for 38.3% of the variation. Female illiteracy rate, participation in growth monitoring and degree of urbanization were all positively associated with prevalence of inadequate weight gain in children. Together, these factors explained 25.6% of the variation. Our results suggest that efforts to reduce the average municipality-specific female illiteracy rate, in combination with participation in growth monitoring, may be effective in reducing municipality-level prevalence of inadequate weight gain in infants and children in Ceara.

PIP: This article assesses the relationship between health services, socioeconomic variables, and inadequate weight gain among Brazilian children. The study used ecological analysis to assess the relative contributions of these variables to variations in the prevalence of inadequate weight gain among infants and young children in 140 municipalities in the State of Caera, northeast Brazil. The assessment of the total effect of selected variables involved fitting three unique sets of multivariate linear regression models to the prevalence of inadequate weight gain among infants and children. Findings showed several significant predictors of the prevalence of inadequate weight gains. These include participation in growth monitoring and a degree of urbanization, which together account for 38.3% of the variation, and female illiteracy rate (9.7% of the variation). Overall, these factors explain 25.6% of the variation in child growth. In conclusion, the study suggests that efforts to reduce the average municipality-specific female illiteracy rate, in combination with participation in growth monitoring may be effective in reducing municipality-level prevalence of inadequate weight gain among infants and children in Caera.

Variations in infant mortality rates among municipalities in the state of Ceará, Northeast Brazil: an ecological analysis.

BACKGROUND: Infant mortality rates vary substantially among municipalities in the State of Ceará, from 14 to 193 per 1000 live births. Identification of the determinants of these differences can be of particular importance to infant health policy and programmes in Brazil where local governments play a pivotal role in providing primary health care. METHODS: Ecological study across 140 municipalities in the State of Ceará, Brazil. RESULTS: To determine the interrelationships between potential predictors of infant mortality, we classified 11 variables into proximate determinants (adequate weight gain and exclusively breastfeeding), health services variables (prenatal care up-to-date, participation in growth monitoring, immunization up-to-date, and decentralization of health services), and socioeconomic factors (female literacy rate, household income, adequate water supply, adequate sanitation, and per capita gross municipality product), and included the variables in each group simultaneously in linear regression models. In these analyses, only one of the proximate determinants (exclusively breastfeeding (inversely), R2 = 9.3) and one of the health services variables (prenatal care up-to-date (inversely), R2 = 22.8) remained significantly associated with infant mortality. In contrast, female literacy rate (inversely), household income (directly) and per capita GMP (inversely) were independently associated with the infant mortality rate (for the model including the three variables R2 = 25.2). Finally, we considered simultaneously the variables from each group, and selected a model that explained 41% of the variation in infant mortality rates between municipalities. The paradoxical direct association between household income and infant mortality was present only in models including female illiteracy rate, and suggests that among these municipalities, increases in income unaccompanied by improvements in female education may not substantially reduce infant mortality. The lack of independent associations between inadequate sanitation and infant mortality rates may be due to the uniformly poor level of this indicator across municipalities and provides no evidence against its critical role in child survival. CONCLUSIONS: These results suggest that promotion of exclusive breastfeeding and increased prenatal care utilization, as well as investments in female education would have substantial positive effects in further reducing infant mortality rates in the State of Ceará.