The ecology of race and socioeconomic distress: infant and working-age mortality in Chicago

We examine the effects of education, unemployment, and racial segregation on age-, sex-, and race-specific mortality rates in racially defined Chicago community areas from 1989 to 1991. Community socioeconomic factors account for large observed areal variations in infant and working-age mortality, but especially working-age mortality for the black population. For black men, the mortality consequences of living in economically distressed communities are quite severe. Segregation effects on mortality are more modest and largely operate through neighborhood socioeconomic conditions, although some direct effects of segregation on mortality for blacks are apparent.     

Age,Period, Cohort and Early Mortality: An Analysis of Adult Mortality in Italy

Changes in adult mortality in Italy for cohorts born between 1882 and 1953 are analysed and interpreted by means of two different statistical models. The first, an Age–Period–Early Mortality (APEM) model, is employed to analyse the possible relationships between adverse conditions during the first 15 years of life and subsequent mortality. It is shown that higher mortality early in life is associated with higher mortality up to age 45 and lower mortality at latter ages. Finally, possible links between the observed decline in early mortality and the evolution of adult mortality are analysed and discussed.     

The impact of early-life economic conditionson cause-specific mortality during adulthood

The aim of this study is to assess the effects of economic conditions in early life on cause-specific mortality during adulthood. The analyses are performed on a unique historical sample of 14,520 Dutch individuals born in 1880–1918, who are followed throughout life. The economic conditions in early life are characterized using cyclical variations in annual real per capital gross domestic product during pregnancy and the first year of life. Exposure to recessions in early life appears to significantly increase cancer mortality risks of older males and females. It also significantly increases other mortality risks especially for older females. The residual life expectancies are up to about 8 and 6 % lower for male and female cancer mortality, respectively, and up to about 5 % lower for female cardiovascular mortality. Our analyses show that cardiovascular and cancer mortality risks are related and that not taking this association into account leads to biased inference.     

Sex Differentials in Mortality in the Soviet Union: Regional Differences in Length of Working Life in Comparative Perspective

In this paper we take a different approach from other authors to the study of differences between the mortality of the two sexes in the USSR. First, we use measures of mortality that are not sensitive to the most common types of error in data and that reflect experience in an age range that is important from a policy perspective: the working ages. Secondly, we measure variation in mortality between regions of the USSR. Thirdly, we compare these regional mortality trends with experience in 33 developed countries. The sex differential in mortality in the USSR is an amalgam of very different regional patterns. Its size and rate of change are more extreme in the USSR than in other countries, and are mainly due to the poor and rapidly worsening mortality of men in the Russian Republic. But the widening sex differentials and increasing mortality of men in the older working ages in Soviet regions are similar to trends in many other developed countries.     

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.     

Methods For Comparing The Mortality Experience of Heterogeneous Populations

Methods are presented which produce Maximum Likelihood Estimates (MLE) of the degree of heterogeneity in individual mortality risks under a variety of assumptions about the age trajectory of those mortality risks. With these estimates of the degree of population heterogeneity it is possible to adjust comparisons of mortality risks across populations for the effects of population heterogeneity, differential mortality selection, and different age trajectories of the force of mortality. These methods are demonstrated by applying a variety of standard assumptions about the age trajectory of the force of mortality to the analysis of a broad range of cohort mortality data for the U.S. and Swedish populations. The estimates of the degree of heterogeneity, produced under all of the selected force of mortality models, consistently indicated a considerable degree of heterogeneity in mortality risks.     

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.     

The First Fifty Years – A Tribute to E. Grebenik

India is a country with a pervasive preference for sons and one of the highest levels of excess child mortality for girls in the world (child mortality for girls exceeds child mortality for boys by 43 per cent). In this article, data from the National Family Health Survey are used to examine the effect of son preference on parity progression and ultimately on child mortality. The demographic effects of family composition are estimated with hazard models. The analysis indicates that son preference fundamentally affects demographic behaviour in India. Family composition affects fertility behaviour in every state examined and son preference is the predominant influence in all but one of these states. The effects of family composition on excess child mortality for girls are more complex, but girls with older sisters are often subject to the highest risk of mortality.     

The effect of piped water on early childhood mortality in Urban Brazil, 1970 to 1976

The effects of access to piped water on the trends in child mortality and on differentials by income class are analyzed using data on surviving children and other variables in samples of urban mothers aged 20–29 in 1970 and 1976. Path analytic regression techniques are used to test a recursive model linking the supply and demand for piped water to selected household and community level variables, and to examine their joint effect on child mortality. The model’s estimated parameters for 1970 and 1976 are used to analyze changes in mortality between the two dates. Increased maternal education accounts for a larger share of the mortality decline than any other single factor. Increased access to piped water also contributes to mortality decline, and such access helps to reduce the mortality differential between lower and higher income and education classes.     

The influence of cause-specific mortality conditions on the age pattern of mortality with special reference to Taiwan

Abstract This paper discusses the relationship between the level of mortality at ages one to four, on one hand, and five to 34 on the other. This relationship has been observed to vary considerably among mortality schedules at different levels of mortality and even among schedules at the same general level of mortality. This variation is shown among the modem life table systems of the Regional Model Life Tables and the United Nations Model Life Tables. Controlling for the leyel ofmortality from age five to age 34, the West Tables and the United Nations Tables embody approximately the same 'average' relationship between early childhood and adult mortality. Relatively to this average relationship, the South and East Tables consistently display higher childhood mortality rates for a given level of adult mortality. Indeed, the childhood rates of the South Table are twice those of the West Tables over a range of life expectancy at birth from 40 to 70 years. The relationship between childhood and adult mortality from 1957 to 1968, a period of rapid mortality decline, was investigated in Taiwan. In 1957, the Taiwanese data reflected the severe childhood mortality of the South Model Tables. However, by 1968, due to an especially large decline in childhood mortality, this relationship was more moderate and resembled the mortality pattern of the West or East Model Tables. An analysis of the decline in cause-specific mortality during the period revealed that a dramatic decline in childhood mortality from gastro-enteritis was primarily responsible for the shift in the relationship between childhood and adult mortality in Taiwan. It is asserted that, while any of several diseases which result in fatalities primarily among children of pre-school ages, could cause relatively severe childhood mortality, gastro-enteritis is likely to be a primary contributor to such an age pattern. This assertion is based on the fact that, especially in the developing areas of the world, malnutrition and gastro-enteritis are usually precipitating and complicating factors of other childhood diseases. A limited test of this hypothesis was provided by considering the causal components of childhood mortality rates in two populations known, for certain periods, to have exhibited relatively severe childhood mortality conditions; Spain and Portugal. For the years in which those populations were characterized by the South mortality pattern, gastro-enteritis was a principal cause of mortality in childhood. Moreover, with the decline in mortality from gastro-enteritis, the mortality pattern in Spain and Portugal no longer exhibited childhood mortality rates which were severe relative to those of adult life. The implications of these findings for the analysis of mortality conditions in many areas of the developing world, where the gastro-enteritis malnutrition syndrome annually claims a heavy toll of life in early childhood, are not clear. In those areas, the effect of this syndrome on the age pattern of mortality could be offset by special conditions inflating adult mortality rates. Nevertheless, in circumstances where there is evidence indicating substantial childhood mortality from this syndrome and no evidence indicating compensating severe adult mortality, there is reason to suspect that the existing mortality pattern reflects the relatively severe childhood mortality conditions of the South Model Tables. Additionally, where mortality from the gastro-enteritis malnutrition syndrome has been severe in past years, but has been reduced to low levels in recent years, it is probable that the relationship between childhood and adult mortality will shift in favour of the former - quite possibly, in the manner of Taiwan, from a South to an East or West age pattern.     

Income and inequality as determinants of mortality: An international cross-section analysis

This paper analyses the effects of income and income distribution on mortality. The likely relation between income and mortality for individuals is discussed, and implications for the determinants of mortality at the community level inferred. Measures of income inequality are likely to be related to mortality on aggregate data because of the non-linearity of income effects. An international cross-section analysis is then undertaken in which different measures of income and income distribution are investigated as determinants of mortality, with life expectancy at birth and age five, and infant mortality taken as measures of the dependent variable. It is found that income distribution is consistently and strongly related to mortality; in a relatively inegalitarian country life expectancy may be between five and ten years lower than in a more egalitarian country.     

Intra-uterine Mortality and Maternal Nutritional Status in Rural Bangladesh

This paper is an investigation of the relationship of a maternal nutritional status with intra-uterine mortality in a population of chronically malnourished rural Bangladeshi women. First, life-table techniques are used to compare the level of intra-uterine mortality in this population with levels reported in other studies. Then the relationships of maternal nutritional status, age, parity, foetal loss and season of conception with intra-uterine mortality are examined in a multivariate analysis. The results indicate foetal mortality in rural Bangladesh to be markedly higher than in other populations where living conditions and health care are superior. Maternal nutritional status, maternal age and season of conception all appear to be related significantly to foetal mortality.     

A Flexible Bayesian Model for Estimating Subnational Mortality

Reliable subnational mortality estimates are essential in the study of health inequalities within a country. One of the difficulties in producing such estimates is the presence of small populations among which the stochastic variation in death counts is relatively high, and thus the underlying mortality levels are unclear. We present a Bayesian hierarchical model to estimate mortality at the subnational level. The model builds on characteristic age patterns in mortality curves, which are constructed using principal components from a set of reference mortality curves. Information on mortality rates are pooled across geographic space and are smoothed over time. Testing of the model shows reasonable estimates and uncertainty levels when it is applied both to simulated data that mimic U.S. counties and to real data for French départements. The model estimates have direct applications to the study of subregional health patterns and disparities.     

Parental age and offspring mortality: Negative effects of reproductive ageing may be counterbalanced by secular increases in longevity

As parental ages at birth continue to rise, concerns about the effects of fertility postponement on offspring are increasing. Due to reproductive ageing, advanced parental ages have been associated with negative health outcomes for offspring, including decreased longevity. The literature, however, has neglected to examine the potential benefits of being born at a later date. Secular declines in mortality mean that later birth cohorts are living longer. We analyse mortality over ages 30–74 among 1.9 million Swedish men and women born 1938–60, and use a sibling comparison design that accounts for all time-invariant factors shared by the siblings. When incorporating cohort improvements in mortality, we find that those born to older mothers do not suffer any significant mortality disadvantage, and that those born to older fathers have lower mortality. These findings are likely to be explained by secular declines in mortality counterbalancing the negative effects of reproductive ageing.     

The Differential Mortality of Undesired Infants in Sub-Saharan Africa

With high rates of infant mortality in sub-Saharan Africa, investments in infant health are subject to tough prioritizations within the household, in which maternal preferences may play a part. How these preferences will affect infant mortality as African women have ever-lower fertility is still uncertain, as increased female empowerment and increased difficulty in achieving a desired gender composition within a smaller family pull in potentially different directions. I study how being born at a parity or of a gender undesired by the mother relates to infant mortality in sub-Saharan Africa and how such differential mortality varies between women at different stages of the demographic transition. Using data from 79 Demographic and Health Surveys, I find that a child being undesired according to the mother is associated with a differential mortality that is not due to constant maternal factors, family composition, or factors that are correlated with maternal preferences and vary continuously across siblings. As a share of overall infant mortality, the excess mortality of undesired children amounts to 3.3 % of male and 4 % of female infant mortality. Undesiredness can explain a larger share of infant mortality among mothers with lower fertility desires and a larger share of female than male infant mortality for children of women who desire 1–3 children. Undesired gender composition is more important for infant mortality than undesired childbearing and may also lead couples to increase family size beyond the maternal desire, in which case infants of the surplus gender are particularly vulnerable.     

Lifespan Disparity as an Additional Indicator for Evaluating Mortality Forecasts

Evaluating the predictive ability of mortality forecasts is important yet difficult. Death rates and mean lifespan are basic life table functions typically used to analyze to what extent the forecasts deviate from their realized values. Although these parameters are useful for specifying precisely how mortality has been forecasted, they cannot be used to assess whether the underlying mortality developments are plausible. We therefore propose that in addition to looking at average lifespan, we should examine whether the forecasted variability of the age at death is a plausible continuation of past trends. The validation of mortality forecasts for Italy, Japan, and Denmark demonstrates that their predictive performance can be evaluated more comprehensively by analyzing both the average lifespan and lifespan disparity—that is, by jointly analyzing the mean and the dispersion of mortality. Approaches that account for dynamic age shifts in survival improvements appear to perform better than others that enforce relatively invariant patterns. However, because forecasting approaches are designed to capture trends in average mortality, we argue that studying lifespan disparity may also help to improve the methodology and thus the predictive ability of mortality forecasts.     

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.     

The relative effects of shocks in early- and later-life conditions on mortality

The relative importance of cohorts' early-life conditions, compared to later period conditions, on adult and old-age mortality is not known. This article studies how cohort-level mortality depends on shocks in cohorts' early- and later-life (period) conditions. I use cohorts' own mortality as a proxy for the early-life conditions, and define shocks as deviations from trend. Using historical data for five European Countries i find that shocks in early-life conditions are only weakly associated with cohorts' later mortality. This may be because individual-level health is robust to early-life conditions, or because at the cohort level scarring, selection, and immunity cancel each other. Shocks in period conditions, measured as deviations from trend in period child mortality, are strongly and positively correlated with mortality at all older ages. The results suggest that at the cohort level changing period conditions drive mortality variation and change.     

Determinants of Regional Variations in Infant Mortality in Rural India

An analytical framework is specified for understanding the determinants of infant mortality. It distinguishes between factors at three levels – village, household and individual – and arranges them in ascending order with respect to their proximity to infant mortality. Village and household-level factors are assumed to influence infant mortality indirectly by influencing at least one of the six individual-level factors. The present analysis of the data aggregated at the state level clearly demonstrates the importance of both medical and non-medical factors for explaining the observed regional differences in infant mortality in rural India. The percentage of births attended by trained medical personnel and poverty, are the two important determinants of regional variations in neo-natal mortality; and the village-level availability of medical facilities and the extent of triple vaccination are the two important determinants of post-neo-natal mortality. The influence of adult women's literacy on infant mortality is explained by better medical care at birth, and preventive and curative medical care during the post-neo-natal period. Medical factors have been shown to be slightly more important than non-medical factors. This suggests that it might be possible to reduce the high level of infant mortality currently prevalent in many states in India by simple preventive medical interventions.