Effects of employment and education on preterm and full-term infant mortality in Korea

Nexus between fossil fuel consumption and infant mortality rate: a non-linear analysis

For nations already facing pollution issues, fossil fuel energy consumption is deteriorating living standards. Though prevailing infrastructure makes fossil fuel energy use feasible for production, it still pollutes our environment. This study in the domain of environment and development assesses the impact of fossil fuel energy consumption on the infant mortality rate in 15 Asian economies during 1996 and 2019. The living standards are assessed using infant mortality rate, while non-linear fossil fuel energy consumption is used with gross capital formation, employment, and preprimary education as independent variables. The feasible generalized least square method evaluates the effects. The study concludes that fossil fuel energy consumption follows a U-shaped relationship explaining infant mortality. The results point out that over-consumption of fossil fuel energy is deteriorating the living standards considering low air quality levels in Asian economies.

Analysis of the Relationship between Socioeconomic Status and Incidence of Hysterectomy Using Data of the Korean Genome and Epidemiology Study (KoGES)

Hysterectomy remains a frequent gynecologic surgery, although its rates have been decreasing. The aim of this study was to investigate whether socioeconomic status affected the risk of hysterectomy in Korean women. This prospective cohort study used epidemiologic data from 2001 to 2016, from the Korean Genomic and Epidemiology Study (KoGES). Multivariate logistic regression analyses were performed to estimate the association between household income or education level and hysterectomy. Among 5272 Korean women aged 40−69 years, 720 who had a hysterectomy and 4552 controls were selected. Variable factors were adjusted using logistic regression analysis (adjusted model). Adjusted odds ratios (aORs) for insurance type and hysterectomy were not statistically significant. The aOR was 1.479 (95% confidence interval (CI): 1.018−2.146, p < 0.05) for women with education of high school or lower compared to college or higher. Women whose monthly household income was Collapse

Key Words

• education
• hysterectomy
• income
• socioeconomic status

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Affiliation(s)

Yung-Taek Ouh Department of Obstetrics and Gynecology, School of Medicine, Kangwon National University, Chuncheon 24289, Korea;
Kyung-Jin Min Department of Obstetrics and Gynecology, Korea University Ansan Hospital, Ansan 15355, Korea;
Sanghoon Lee Department of Obstetrics and Gynecology, Korea University Anam Hospital, Seoul 02841, Korea; (S.L.); (J.Y.S.)
Jin-Hwa Hong Department of Obstetrics and Gynecology, Korea University Guro Hospital, Seoul 08308, Korea; (J.-H.H.); (J.-K.L.)
Jae Yun Song Department of Obstetrics and Gynecology, Korea University Anam Hospital, Seoul 02841, Korea; (S.L.); (J.Y.S.)
Jae-Kwan Lee Department of Obstetrics and Gynecology, Korea University Guro Hospital, Seoul 08308, Korea; (J.-H.H.); (J.-K.L.)
Nak Woo Lee Department of Obstetrics and Gynecology, Korea University Ansan Hospital, Ansan 15355, Korea;

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Infant Mortality and Inflation in China: Based on the Mixed Frequency VAR Analyses

Reducing neonatal mortality is an important goal in the Sustainable Development Goals (SDGs), and with the outbreak of the new crown epidemic and severe global inflation, it is extremely important to explore the relationship between inflation and infant mortality. This paper investigates the causal relationship between inflation and infant mortality using a mixed frequency vector autoregressive model (MF-VAR) without any filtering procedure, along with impulse response analysis and forecast misspecification variance decomposition, and compares it with a low frequency vector autoregressive model (LF-VAR). We find that there is a causal relationship between inflation and infant mortality, specifically, that is inflation increases infant mortality. Moreover, the contribution of CPI to IMR is greater in the forecast error variance decomposition in the MF-VAR model compared to the LF-VAR model, indicating that CPI has stronger explanatory power for IMR in mixed-frequency data. The results of the study have important implications for China and other developing countries in reducing infant mortality and achieving the Sustainable Development Goals (SDGs). Policymakers should focus on inflation as a macroeconomic variable that reduces the potential negative impact of inflation on infant mortality. The results of the analysis further emphasize the importance of price stability in the context of global inflation caused by the outbreak of the coronavirus pandemic outbreak.

Role of Parental Social Class in Preterm Births and Low Birth Weight in Association with Child Mortality: A National Retrospective Cohort Study in Korea

PURPOSE

We explored the role of parental social class in preterm birth (PTB) and low birth weight (LBW) in association with child mortality in Korea.

MATERIALS AND METHODS

A total of 7,302,732 births in Korea between 1995 and 2007 were used for designing the national retrospective cohort study. Kaplan-Meier survival curves and Cox proportional hazard models were used to determine the risk of child death after adjusting for covariates.

RESULTS

Parental social class was associated with adverse birth outcomes and child mortality in Korea. Parental social class increased the strength of the relationship of adverse birth outcomes with child mortality. Child mortality was higher among PTB and LBW infants from parents with a lower social class than normal births from parents with a higher social class. In particular, the disparity in child mortality according to parental social class was greater for LBW and PTB than intrauterine growth retardation births. When one of the parents had a middle-school education or lower, the disparity in child mortality due to adverse birth outcomes was large regardless of the other spouse's educational status. Inactive economic status for the father, as well as an occupation in manual labor by the mother, increased the risk of child mortality.

CONCLUSION

Strong relationships for social inequalities and adverse birth outcomes with inequalities in child mortality in South Korea were found in this study. Tackling social inequalities, as well as reducing adverse birth outcomes, are needed to reduce the disparities in child mortality in South Korea.

Predictors of infant-survival practices among mothers attending paediatric clinics in Ijebu-Ode, Ogun State, Nigeria

Background

Despite concerted global efforts towards achieving infant-survival, infant mortality lingers as a problem in developing countries. Environmental and personal-level factors are assumed to account for this situation. This study was undertaken to provide better understanding of the dynamics of predictors of infant-survival practices among mothers with infants attending paediatric clinics.

Methods

A cross-sectional survey design was adopted. Data was collected from 386 nursing mothers selected by convenience sampling. Interviewer-administered questionnaires were used for data collection. The questionnaire consisted of 38-items including demographic information of respondents, health-literacy counsels received during antenatal care, social-support from significant others, and self-efficacy to carry-out infant-survival instructions. Responses were transformed into rating scales for each variable and data analysis was conducted by linear regression analysis with test of hypotheses at 5% level of significance.

Results

The mean age of respondents was 29.8 ± 5.8 years. Majority (81.6%) were married. Yorubas (83.90%) were predominant. Participants had mean scores of 10.50 ± 3.83, 10.56 ± 3.70 and 16.61 ± 4.56 respectively computed for levels of health-literacy, social-support, and self-efficacy. The dependent variable measured level of infant-survival practices and respondents scored 16.53 ± 4.71. The study found a significant association among variables. Self-efficacy was the major predictor variable of self-reported infant-survival practices (R = 0.466; R² = 0.217; P<0.05).

Conclusion

We conclude that participants had average levels of health-literacy, social-support, self-efficacy, and infant-survival practices. Healthcare providers should make efforts to empower pregnant women on activities essential for infant-survival. Family members of nursing mothers should as well be knowledgeable about the advantages of supporting them.

State- and county-level income inequality and infant mortality in the USA in 2010: a cohort study

OBJECTIVES

We examined the relationship between income inequality and the risk for infant/neonatal mortality at the state and county level and tested possible mediators of this relationship.

METHODS

We first linked state and county Gini coefficients to US Vital Statistics 2010 Cohort Linked Birth and Infant Death records (n = 3,954,325). We then fit multilevel models to test whether income inequality was associated with infant/neonatal mortality. County-level factors were tested as potential mediators.

RESULTS

Adjusted analyses indicated that income inequality at the county level-but not at the state level-was associated with increased odds of infant mortality (OR 1.14, 95% CI 1.10, 1.18) and neonatal death (OR 1.17, 95% CI 1.12, 1.23). Our mediators explained most of this variation. Bivariate analyses revealed associations between 3 county-level measures-patient-to-physician ratio, the violent crime rate, and sexually transmitted infection rate-and infant and neonatal mortality. Proportion of college-educated adults was associated with decreased odds for neonatal mortality.

CONCLUSIONS

Local variations in access to care, the rate of sexually transmitted disease, and crime are associated with infant mortality, while variations in college education in addition to these mediators explain neonatal mortality. To reduce infant and neonatal mortality, experiments are needed to examine the effectiveness of policies targeted at reducing income inequality and improving healthcare access, policing, and educational opportunities.

Trends of Social Inequalities in the Specific Causes of Infant Mortality in a Nationwide Birth Cohort in Korea, 1995-2009

The relationship between social disparity and specific causes of infant mortality has rarely been studied. The present study analyzed infant mortality trends according to the causes of death and the inequalities in specific causes of infant mortality between different parental social classes. We analyzed 8,209,836 births from the Statistics Korea between 1995 and 2009. The trends of disparity for cause-specific infant mortality according to parental education and employment were examined using the Cox proportional hazard model for the birth-year intervals of 1995-1999, 2000-2004, and 2005-2009. Adjusted hazard ratios were calculated after adjusting for infants' gender, parents' age, maternal obstetrical history, gestational age, and birth weight. An increasing trend in social inequalities in all-cause infant mortality according to paternal education was evident. Social inequalities in infant mortality were greater for "Not classified symptoms, signs and findings" (International Classification of Diseases 10th revision [ICD-10]: R00-R99) and "Injury, poisoning and of external causes" (S00-T98), particularly for "Ill-defined and unspecified causes" (R990) and "Sudden infant death syndrome (SIDS)" (R950); and increased overtime for "Not classified symptoms, signs and findings" (R00-R99), "Injury, poisoning and of external causes" (S00-T98) and "Conditions in perinatal period" (P00-P96), particularly for "SIDS" (R950) and "Respiratory distress syndrome of newborns (RDS)" (P220). The specific causes of infant mortality, in particular the "Not classified causes" (R00-R99 coded deaths) should be investigated more thoroughly to reduce inequality in health.

Trends in infant mortality rates in Hungary between 1963 and 2012

AIM

This study investigated annual and seasonal death trends for infants of <1 year of age in Hungary between 1963 and 2012 and analysed commonly accepted risk factors.

METHODS

Data on the numbers of live births and infant deaths were obtained from the published nationwide population register. Negative binomial regression was applied to investigate the yearly trends in rates and also the effect of possible risk factors - low birthweight, maternal education and sex - on infant mortality. Cyclic trends were investigated using logistic regression.

RESULTS

Annual infant mortality declined significantly (p < 0.001) from 42.9 to 4.9 per 1000 live births per year during the study period and significantly increased (p < 0.001) in the low birthweight group and lower maternal education groups. A significant (p < 0.001) cyclic trend in mortality was revealed, with a peak in deaths in late February for all infants and a double peak, in May and November, in the group of cases who died during the early neonatal period.

CONCLUSION

This Hungarian study suggests that there was a significant seasonal effect on neonatal and infant mortality at the end of winter between 1963 and 2012. We speculate that this may have been related to respiratory infections.