Socioeconomic Inequalities in Infant Mortality in Egypt: Analyzing Trends Between 1995 and 2014

This paper analyses the trend of the socioeconomic inequalities in infant mortality rates in Egypt over the period 1995–2014, using repeated cross-sectional data from the National Demographic and Health Survey. A multivariate logistic regression and concentration indices are used to examine the demographic and socioeconomic correlates of infant mortality, and how the degree of socioeconomic disparities in child mortality rates has evolved over time. We find a significant drop in infant mortality rates from 63 deaths per 1000 live births in 1995 to 22 deaths per 1000 live births in 2014. However, analyzing trends over the study period reveals no corresponding progress in narrowing the socioeconomic disparities in childhood mortality. Infant mortality rates remain higher in rural areas and among low-income families than the national average. Results show an inverse association between infant mortality rates and living standard measures, with the poor bearing the largest burden of early child mortality. Though the estimated concentration indices show a decline in the degree of socioeconomic inequality in child mortality rates over time, infant mortality rate among the poor remains twice the rate of the richest wealth quintile. Nonetheless, this decline in the degree of socioeconomic inequality in child mortality is not supported by the results of the multivariate logistic regression model. Results of the logistic model show higher odds of infant mortality among rural households, children who are twins, households with risky birth intervals. We find no statistically significant association between infant mortality and child’s sex, access to safe water, mothers’ work, and mothers’ nutritional status. Infant mortality is negatively associated with household wealth and regular health care during pregnancy. Concerted effort and targeting intervention measures are still needed to reduce the degree of socioeconomic and regional inequalities in child health, including infant mortality, in Egypt.     

Gender patterns in Vietnam’s child mortality

We analyze child mortality in Vietnam focusing on gender aspects. Contrary to several other countries in the region, mortality rates for boys are substantially larger than for girls. The mortality rate of boys appears to be more sensitive to parents’ education levels than the mortality rate of girls. A high education level of the father is particularly protective for boys. The rural–urban mortality difference in the raw data, which is particularly large for boys, can be fully explained by differences in observable characteristics of urban and rural households.     

A problem in measuring infant mortality]

Infant mortality rates refer to the number of infant deaths in a given calendar year divided by the total number of births for the same year. It is argued that this definition presents a logical problem, such that if "infant" is defined as any child less than 1 year old, then the set of criteria for infants born in January of the given calendar year is totally different for that of infants born in December. Due to the tremendous significance of infant mortality rates in assessing the socioeconomic growth of a given area, discrepancies such as the problem presented cannot be easily overlooked, particularly where small populations are concerned. A more accurate yet problematic approach for small populations, i.e., calculating the rate of infant mortality based on infant birthdays, using proposed linear regression scheme is presented.     

Mortality in New Zealand and England and Wales

This paper compares age-specific mortality rates in England and Wales with those of New Zealand. Differences in rates are greatest at the younger age groups, and are particularly high for infants under 1 year and children between 1 and 5 years. The age-specific mortality rates for females under 25 years and for males under 35 years are analysed by causes of death in order to discover where the main differences between the two countries occur, and for infant mortality in England and Wales a further analysis has been made by social class. The greatest room for improvement in England and Wales mortality rates, as compared with New Zealand rates, is at ages under 5 years, and in infant mortality in particular the greatest differences between England and Wales and New Zealand rates by causes of death are for those causes usually associated with environmental influences.     

The environment as a determinant of child mortality among migrants in frontier areas of Pará and RondÔnia, Brazil, 1980

This article examines child mortality as an indicator of the quality of life among migrants living in Brazilian Amazonia in 1980. I focus on migrants in the frontier states of Pará and RondÔnia, which experienced rapid settlement during the 1970s. The key question here is the effect of settlement location on child mortality rates. While RondÔnia had lower ratios of population per public health establishments and personnel than Pará, RondÔnia nonetheless exhibited a higher malaria prevalence in 1980. I therefore attribute locational differences in child mortality to environmental factors important to malaria transmission rather than to health care infrastructure. The findings from multivariate regression analysis show that net of the effects of human capital, migration history and migrant living standards, settling in Pará rather than RondÔnia resulted in significantly lower rates of child mortality. These findings suggest that environmental factors coinciding with location of frontier settlement had important consequences for the living standards of migrants in the Brazilian Amazon.     

Black-White Disparities in Life Expectancy: How Much Can the Standard SES Variables Explain?

This article quantifies the extent to which socioeconomic and demographic characteristics can account for black-white disparities in life expectancy in the United States. Although many studies have investigated the linkages between race, socioeconomic status, and mortality, this article is the first to measure how much of the life expectancy gap remains after differences in mortality are purged of the compositional differences in socioeconomic characteristics between blacks and whites. The decomposition is facilitated by a reweighting technique that creates counterfactual estimation samples in which the distribution of income, education, employment and occupation, marital status, and other theoretically relevant variables among blacks is made to match the distribution of these variables among whites. For males, 80% of the black-white gap in life expectancy at age 1 can be accounted for by differences in socioeconomic and demographic characteristics. For females, 70% percent of the gap is accounted for. Labor force participation, occupation, and (among women only) marital status have almost no additional power to explain the black-white disparity in life expectancy after precise measures for income and education are controlled for.     

Trends and Socioeconomic Gradients in Adult Mortality around the Developing World

We combine data from 84 Demographic and Health Surveys from 46 countries to analyze trends and socioeconomic differences in adult mortality, calculating mortality based on the sibling mortality reports collected from female respondents aged 15–49. The analysis yields four main findings. First, adult mortality is different from child mortality: while under‐5 mortality shows a definite improving trend over time, adult mortality does not, especially in sub‐Saharan Africa. The second main finding is the increase in adult mortality in sub‐Saharan African countries. The increase is dramatic among those most affected by the HIV/AIDS pandemic. Mortality rates in the highest HIV‐prevalence countries of southern Africa exceed those in countries that experienced episodes of armed conflict. Third, even in sub‐Saharan countries where HIV prevalence is not as high, mortality rates appear to be at best stagnating, and even increasing in several cases. Finally, the main dimension along which mortality appears to differ in the aggregate is by sex. Adult mortality rates in sub‐Saharan Africa have risen substantially higher for men than for women—especially so in the high HIV‐prevalence countries. On the whole, the data do not show large gaps by urban/rural residence or by school attainment.     

Socio-economic determinants of mortality in Latin America

The characteristics and sources of socioeconomic differentials of mortality in Latin America, in so far as they are currently known, are examined in an attempt to clarify the present situation and its perspectives. Mortality in a population is a function of the frequency of illness (incidence) and the probability of dying of the sick individual (lethality). Information on the socioeconomic differentials of mortality in Latin America is systematically reviewed with attention directed to the following: differentials among Latin American countries, regional differences within countries, urban-rural contrasts in mortality, mortality and income level and level of education, and mortality and ethnic groups. Latin America shows considerable heterogeneity with respect to the risk of dying, which varies from 202/1000 births in Bolivia to 38/1000 in Uruguay. It is estimated that more than 1/2 of the children born in Latin America are exposed to a mortality rate of over 120/1000. A study of the urban and rural populations of 12 Latin American countries revealed that the risk for rural populations exceeds that for urban populations by 30-60%. There is extensive evidence showing that mortality is higher in the working class and is associated with lower levels of education and income. Mortality was also higher in certain indigenous groups. Socioeconomic differentials of mortality are more marked in Latin America than in the developed nations. The mother's level of educational attainment is the variable most significantly associated with infant and child mortality. The prospect of reducing the current mortality levels is dependent primarily upon the implementation of policies aimed at a more egalitarian distribution of the benefits of socioeconomic development among the population.     

Reproductive patterns and child mortality in guatemala

In this paper, we investigate the association of child mortality with maternal age, parity, birth spacing, and socioeconomic status, in a sample of Guatemalan children who were included in a public health intervention program. Our results indicate that maternal age, birth order, and the length of the previous and following birth intervals all have a significant impact on the risk of child mortality and that these associations cannot be accounted for by differences in breastfeeding, socioeconomic status, or the survival status of the previous child.     

Urban determinants of racial differentiation in infant mortality

This study relates differential socioeconomic status between blacks and whites to racial differentiation in infant mortality rates. The basic assumption is that decreases in socioeconomic differentiation and related variables lead to decreases in the black—white infant mortality differential. A comparative approach based on aggregate measures of socioeconomic differentiation is utilized to compare sixty-one United States urban places. Path analysis shows that neonatal mortality differentiation is virtually unaffected by socioeconomic differentials while decreased racial differences in hospital births tend to increase neonatal mortality differentiation. In contrast, postneonatal differentiation is affected by socioeconomic differentiation, especially along the dimensions of income, education, and regional location. It is concluded that despite some suggestions that infant mortality is no longer responsive to socioeconomic factors, postneonatal differentation is affected by socioeconomic differentials when comparison is based on city units.     

The effects of infant mortality on fertility revisited: new evidence from latin america

In this paper, we examine empirical evidence for a relation between infant and child mortality and fertility in Latin American countries from 1920 to 1990. We investigate the relation at several levels of aggregation and evaluate the extent to which evidence at one level is consistent with evidence at other levels. We first examine aggregate cross-country information over several decades, a type of data typically used in past research on the topic. We also examine yearly series of births, deaths, infant deaths, and socioeconomic indicators for selected countries to track the association between short-term fluctuations in fertility and infant mortality. Finally, we use micro-level data from the Demographic and Health Surveys (DHS) to assess the relation between fertility and child mortality from individual reproductive histories. The evidence we assemble from these different data sets is remarkably consistent and suggests small positive effects of infant mortality on fertility. These effects, however, may be too small to support the hypothesis that changes in child mortality are of more than modest importance in the process of fertility decline in Latin America in the late twentieth century.     

Changes in fertility patterns can improve child survival in Southeast Asia

This analysis of 1988 Philippine Demographic Survey data provides information on the direct and indirect effects of several major determinants of childhood mortality in the Philippines. Data are compared to rates in Indonesia and Thailand. The odds of infant mortality in the Philippines are reduced by 39% by spacing children more than two years apart. This finding is significant because infant mortality rates have not declined over the past 20 years. Child survival is related to the number of children in the family, the spacing of the children, the mother's age and education, and the risks of malnutrition and infection. Directs effects on child survival are related to infant survival status of the preceding child and the length of the preceding birth interval, while key indirect or background variables are maternal age and education, birth order, and place of residence. The two-stage causation model is tested with data on 13,716 ever married women aged 15-49 years and 20,015 index children born between January 1977 and February 1987. Results in the Philippine confirm that maternal age, birth order, mortality of the previous child, and maternal education are directly related to birth interval, while mortality of the previous child, birth order, and maternal educational status are directly related to infant mortality. Thailand, Indonesia, and the Philippines all show similar explanatory factors that directly influence infant mortality. The survival status of the preceding child is the most important predictor in all three countries and is particularly strong in Thailand. This factor acts through the limited time interval for rejuvenation of mother's body, nutritional deficiencies, and transmission of infectious disease among siblings. The conclusion is that poor environmental conditions increase vulnerability to illness and death. There are 133% greater odds of having a short birth interval among young urban women than among older rural women. There is a 29% increase in odds for second parity births compared to third or higher order parities. Maternal education is a strong predictor of infant survival only in the Philippines and Indonesia. Adolescent pregnancy is a risk only in Indonesia. Socioeconomic factors are not as important as birth interval, birth order, and maternal education in determining survival status.     

Household income and child survival in Egypt

This article uses household-level economic and fertility survey data to examine the relationship between household income and child survival in Egypt. Income has little effect on infant mortality but is inversely related to mortality in early childhood. The relationship persists with other associated socioeconomic variables controlled. The mechanisms underlying the income effects are not evident from this analysis: income differentials in sources of household drinking water, type of toilet facilities, and maternal demographic characteristics do not explain the net impact of income on child mortality. The absence of effects on child survival of the size of the place of residence and the relatively weak effects of maternal schooling are also notable.     

Determinants of infant and child mortality in Kenya: an analysis controlling for frailty effects

In this paper, Weibull unobserved heterogeneity (frailty) survival models are utilized to analyze the determinants of infant and child mortality in Kenya. The results of these models are compared to those of standard Weibull survival models. The study particularly examines the extent to which child survival risks continue to vary net of observed factors and the extent to which nonfrailty models are biased due to the violation of the statistical assumption of independence. The data came from the 1998 Kenya Demographic and Health Survey. The results of the standard Weibull survival models clearly show that biodemographic factors are more important in explaining infant mortality, while socioeconomic, sociocultural and hygienic factors are more important in explaining child mortality. Frailty effects are substantial and highly significant both in infancy and in childhood, but the conclusions remain the same as in the nonfrailty models.     

Deadly Cities? Spatial Inequalities in Mortality in sub‐Saharan Africa

We investigate whether sub‐Saharan African countries are affected by an “urban mortality penalty” repeating the history of industrialized countries during the nineteenth century. We analyze Demographic and Health Surveys from several sub‐Saharan African countries for differences in child and adult mortality between rural and urban areas. For the first decade of the 2000s, our findings indicate that child mortality is higher in rural than in urban areas for all countries. On average, child mortality rates are 13.6 percent in rural areas and 10.8 percent in urban areas. In contrast, average urban adult mortality rates (14.1 percent) have exceeded rural adult mortality rates (12.4 percent). Child mortality rates are on average 65 percent higher in urban slums than in formal settlements. Child mortality rates in slum areas are, however, still lower than or equal to those in rural areas for most countries in our sample.     

Education of adult children and mortality of their elderly parents in Taiwan

In societies in which families are highly integrated, the education of family members may be linked to survival. Such may be the case in Taiwan, where there are large gaps in levels of education across generations and high levels of resource transfers between family members. This study employs 14 years of longitudinal data from Taiwan to examine the combined effects of the education of older adults and their adult children on the mortality outcomes of older adults. We use nested Gompertz hazard models to evaluate the importance of the education of an older adult and his or her highest-educated child after controlling for socioeconomic, demographic, and health characteristics at baseline. To gain further insight, we fit additional models based on the sample stratified by whether older adults report serious diseases at baseline. The results indicate that the educational levels of both older adults and children are associated with older adult mortality, but children's education appears more important when we examine the mortality of only those older adults who already report a serious disease. This finding suggests that there may be different roles for education in the onset versus the progression of a health problem that may lead to death.     

Social,behavioral, and biological factors,and sex differences in mortality

Few studies have examined whether sex differences in mortality are associated with different distributions of risk factors or result from the unique relationships between risk factors and mortality for men and women. We extend previous research by systematically testing a variety of factors, including health behaviors, social ties, socioeconomic status, and biological indicators of health. We employ the National Health and Nutritional Examination Survey III Linked Mortality File and use Cox proportional hazards models to examine sex differences in adult mortality in the United States. Our findings document that social and behavioral characteristics are key factors related to the sex gap in mortality. Once we control for women’s lower levels of marriage, poverty, and exercise, the sex gap in mortality widens; and once we control for women’s greater propensity to visit with friends and relatives, attend religious services, and abstain from smoking, the sex gap in mortality narrows. Biological factors—including indicators of inflammation and cardiovascular risk—also inform sex differences in mortality. Nevertheless, persistent sex differences in mortality remain: compared with women, men have 30% to 83% higher risks of death over the follow-up period, depending on the covariates included in the model. Although the prevalence ofriskfactors differs by sex, the impact of those riskfactors on mortality is similar for men and women.     

Does regional variation affect ecological mortality research? An examination of mortality, income inequality and health infrastructure in the Mississippi Delta

Mortality research has often focused on individual-level, socioeconomic, and demographic factors indicating health outcomes. Consistent with a recent trend in the public health field, this research examines mortality at the aggregate, contextual level. Based on Wilkinson’s relative income hypothesis, specifically being manifest through an underinvestment in social goods including health infrastructure, the focus of this study is a regional examination in the effects of income inequality on mortality at the county level. Health infrastructure is included as a mediating variable in the relationship between income inequality and mortality, relating back to Wilkinson’s work. Unlike previous research, regional differences in this relationship are examined to identify variation at the county level in health outcomes. The Mississippi Delta is an adequate test bed to examine the relationship between these variables based on its socioeconomic, demographic, and high inequality characteristics. It is hypothesized that Delta-designated counties within the three-state Delta region distinguish a significant positive relationship between income inequality and mortality, that this relationship is stronger than in non-Delta classified counties, and that health infrastructure significantly mediates the relationship between income inequality and mortality.     

Rural–Urban Migration and Cross-National Variation in Infant Mortality in Less Developed Countries

The relationship between migration and child health in individual countries is well known, but the cross-national variation in this relationship is largely untested. Using Demographic and Health Survey (DHS) data from 52 medium and low income countries, this study examines the effect of rural–urban migration on infant mortality and whether its effect varies cross-nationally. A secondary objective is to determine whether there is a relationship between the time a child is born in the migration process and infant mortality. Hypotheses are developed on the basis of competing theories on the relationship between migration and health. There are modest, but significant cross-national effects of rural–urban migration on infant mortality, which were better revealed in the presence of family- and child-level variables. The results also show that the unadjusted effects of rural–urban migration are quite substantial, but were largely accounted for by family- and child-level factors including education, socioeconomic status (SES), marital status, birth order, maternal age at child’s birth, and inter-births intervals. The results largely point to a selection process, which is further confirmed by results showing that the hazards of infant death increase with length of urban residence. Programs that target increasing maternal education, improving household SES, and lengthening interbirth intervals would therefore greatly benefit child survival in less developed countries.     

Re-Conceptualizing Gaps by Socioeconomic Status in Parental Time with Children

Differences in the total time that parents spend with their children by socioeconomic status (SES) are well documented. However, the qualitative aspects of such gaps are potentially important, yet relatively understudied. The current study analyzes time-use data for a nationally representative sample of married households with at least two children, one of whom is under 13 (N = 21,016), from the American Time Use Survey to provide a more nuanced analysis of previously documented differences in the time parents spend with children by SES. Specifically, two understudied aspects of family time are considered, both of which are distinct from other types of parent–child time and are potentially particularly developmentally beneficial: shared time when both parents are present with a child and individual child time when no siblings are present. We find that shared time when both parents are simultaneously present with a child often comprises a substantial portion of the total gap in parental time spent with children between college-educated parents and parents who did not complete high school. Similarly, college-educated parents spend more time with children in the absence of the child’s siblings than do less-educated parents. Gaps in this time classification are often found within enriching time, which is likely especially developmentally beneficial, potentially amplifying the effects of these gaps on child development. Generally, these results suggest that gaps in parental time with children by SES are more nuanced than previous research has recognized.