Birth Spacing and Health and Socioeconomic Outcomes Across the Life Course: Evidence From the Utah Population Database

Multilevel modelling of the determinants of low birth weight in frontier, outermost and underdeveloped regions: Evidence from the Indonesian National Socioeconomic Survey (2019-2021)

BACKGROUND

The prevalence of low-birthweight infants is increasing in Indonesia. A low birth weight can have a negative effect on a child's development. Understanding the factors influencing low birth weight may enable preventative actions.

AIM

To analyse the determinant factors of low-birthweight infants in frontier, outermost and underdeveloped regions in Indonesia.

METHODS

A cross-sectional study was conducted using a secondary dataset from the Indonesian National Socioeconomic Survey, 2019-2021. The sample included 27,678 inhabitants aged 16-64 years. The Indonesian regions of Nusa Tenggara Timur, Nusa Tenggara Barat, Sulawesi Tengah, Sulawesi Tenggara, Gorontalo, Maluku, Maluku Utara, Papua and Papua Barat were included. A multilevel logistic regression was conducted to determine the relationship between variables. p < 0.05 was considered to indicate significance in the fixed-effects model findings.

FINDINGS

Women who lived in a rural area [OR 1.176, 95 % confidence interval (CI) 0.088-0.235] and had never used contraception (OR 1.227, 95 % CI 0.096-0.313) were more likely to have low-birthweight infants. In contrast, water resources, social assistance/welfare, maternal age and gross domestic product per capita had no significant effect on the prevalence of low-birthweight infants.

DISCUSSION AND CONCLUSION

Living in a rural area and lifetime non-use of contraception were found to be significant risk factors for low birth weight in frontier, outermost and underdeveloped regions in Indonesia. Increasing health facilities in rural areas and establishing programmes on the use of contraception may be positive strategies to reduce the prevalence of low-birthweight infants.

The Total Effect of Social Origins on Educational Attainment: Meta-analysis of Sibling Correlations From 18 Countries

The sibling correlation (SC), which estimates the total effect of family background (i.e., social origins), can be interpreted as measuring a society's inequality of opportunity. Its sensitivity to observed and unobserved factors makes the SC an all-encompassing measure and an attractive choice for comparative research. We gather and summarize all available estimates of SCs in educational attainment (M = .46, SD = .09) and employ meta-regression to explore variability in these estimates. First, we find significantly lower SCs in Sweden, Norway, Finland, and Denmark than in the United States, with U.S. correlations roughly .10 (i.e., 25%) higher. Most other (primarily European) countries in our study are estimated to fall in between these countries and the United States. Second, we find a novel Great Gatsby Curve-type positive association between income inequality in childhood and the SC, both cross-nationally and within countries over time. This finding supports theoretical accounts of the Great Gatsby Curve that emphasize the role of educational inequality as a link between economic inequality and social immobility. It implies that greater equality of educational opportunity likely requires reduced economic inequality. Additionally, correlations between sisters are modestly higher, on average, than those between brothers or all siblings, and we find no overall differences between cohorts.

Birth Spacing and Parents' Physical and Mental Health: An Analysis Using Individual and Sibling Fixed Effects

An extensive literature has examined the relationship between birth spacing and subsequent health outcomes for parents, particularly for mothers. However, this research has drawn almost exclusively on observational research designs, and almost all studies have been limited to adjusting for observable factors that could confound the relationship between birth spacing and health outcomes. In this study, we use Norwegian register data to examine the relationship between birth spacing and the number of general practitioner consultations for mothers' and fathers' physical and mental health concerns immediately after childbirth (1-5 and 6-11 months after childbirth), in the medium term (5-6 years after childbearing), and in the long term (10-11 years after childbearing). To examine short-term health outcomes, we estimate individual fixed-effects models: we hold constant factors that could influence parents' birth spacing behavior and their health, comparing health outcomes after different births to the same parent. We apply sibling fixed effects in our analysis of medium- and long-term outcomes, holding constant mothers' and fathers' family backgrounds. The results from our analyses that do not apply individual or sibling fixed effects are consistent with much of the previous literature: shorter and longer birth intervals are associated with worse health outcomes than birth intervals of approximately 2-3 years. Estimates from individual fixed-effects models suggest that particularly short intervals have a modest negative effect on maternal mental health in the short term, with more ambiguous evidence that particularly short or long intervals might modestly influence short-, medium-, and long-term physical health outcomes. Overall, these results are consistent with small to negligible effects of birth spacing behavior on (non-pregnancy-related) parental health outcomes.