Infant Mortality Rates for Farming and Unemployed Households in the Japanese Prefectures: An Ecological Time Trend Analysis, 1999-2017

Association between infant mortality and parental educational level: An analysis of data from Vital Statistics and Census in Japan

This study investigated the association between parental educational level and infant mortality using data from Vital Statistics and Census in Japan. We used the Census data in 2020 and birth and mortality data from the Vital Statistics from 2018 to 2021 in Japan. Data linkage was conducted between birth data and the Census to link the educational level with parents for birth data and between the birth data and mortality data to identify births that resulted in infant mortality. Four educational levels were compared: "junior high school," "high school," "technical school or junior college," and "university." A multivariate logistic regression model was used to investigate an association between parental educational level and infant mortality using other risk factors as covariates. After the data linkage, data on 890,682 births were analyzed. The proportion of junior high school or high school graduates was higher among fathers and mothers for births with infant mortality compared with that among those for births without infant mortality; in contrast, the proportion of university graduates was lower for births with infant mortality than those without infant mortality. Regression analysis showed that mothers with junior high school or high school graduates were significantly and positively associated with infant mortality compared with those with university graduates. As a conclusion, lower educational level in mothers was positively associated with infant mortality, and it was shown that a difference in infant mortality depending on parental educational level existed in Japan.

Infant Mortality Trends and Determinants in Kazakhstan

Infant mortality rate (IMR) is a crucial indicator of healthcare performance and a reflection of a country's socioeconomic development. We analyzed the trends of IMR in Central Asia (CA) countries and its determinants in Kazakhstan, which is a middle-income country. Linear regression was used for IMR trend analysis in CA countries from 2000 to 2020 and for exploring associations between IMR and socioeconomic factors, health service-related factors, and population health indicators-related factors. A gamma generalized linear model was applied to define associations with various determinants. Our analysis revealed that IMR has decreased in all CA countries, with Kazakhstan having the lowest rate in 2000 and 2020. Our results suggest that socioeconomic indicators, such as total unemployment, Gini index, current health expenditure, gross domestic product (GDP), proportion of people living in poverty, and births by 15-19-year-old mothers, were associated with increased infant mortality rates. Improving socioeconomic conditions, investing in healthcare systems, reducing poverty and income inequality, and improving access to education, are all potential issues for further development. Addressing these factors may be critical for improving maternal and child health outcomes in the region.

Are Primary Health Care Features Associated with Reduced Late Neonatal Mortality in Brazil? An Ecological Study

OBJECTIVE

To analyze the effect and efficiency of the characteristics of PHC facilities' structures and the work process of PHC teams on late neonatal mortality (LNM).

METHODS

This ecological time-series study adopted 3.764 Brazilian municipalities as analysis units. The independent variables were sorted into three hierarchical levels and four blocks. The distal level consisted of economic and demographic variables; the intermediate level comprised health coverage and demand for services; and the proximal level included structure and work process. The dependent variable was LNM. A linear mixed-effects regression analysis with a hierarchical approach was performed, estimating the crude (β) and adjusted (alpha = 5%) regression coefficients. Data involution analysis and municipalities were the decision-making unit according to their strata.

RESULTS

LNM was directly associated with the number of live births and unemployment rate. LNM was inversely associated with the year, per capita income, the community health worker's strategy coverage, vaginal delivery, household visits, and available vaccines. In the 2002-2014 period, the number of municipalities efficient in reducing LNM dropped from 38 to 27. In 2014, a more significant investment occurred in the number of vaginal deliveries in almost all strata to make inefficient municipalities efficient.

CONCLUSION FOR PRACTICE

The deaths of children aged 7-28 days are affected by the characteristics of the PHC structure and work process.