Estimation of adult mortality using forward and backward projections

Summary In this paper it is shown that, contrary to our intuitive understanding of the nature of population projection, the estimation of adult intercensal mortality leads to different results depending on whether forward or backward projection of the population is used. From this result a simple procedure is developed that yields estimates of the completeness of adult mortality registration. Finally, the nature and performance of a variety of methods that have recently been developed to estimate adult mortality in the absence of accurate data are compared.     

On the Far Eastern pattern of mortality

Since the early 1980s, it has been accepted widely that there is a Far Eastern pattern of mortality, a pattern characterized by excessively high death rates among older men relative to death rates among younger men and among women. It has been regarded as a unique regional mortality pattern, applying primarily to Far Eastern populations. A re-examination of the mortality data of some Far Eastern populations reveals that changes in both age patterns of and sex differentials in mortality have been widely observed. Further, mortality patterns similar to the so-called Far Eastern mortality model have been found in many other populations.     

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.     

Consanguinity and child mortality: The risk faced by families

Previous research reveals that the characteristics and practices of a child's family are important determinants of its chances of surviving beyond childhood. This study investigates the effects of consanguinity on a family's odds of experiencing the death of a child in Pakistan, a society in which marriage among close relatives is common. Analysis of data from the 1991 Pakistan Demographic and Health Survey reveals that first cousin marriages increase a couple's risk of enduring the death of one or more of their children. These couples are 1.18 times as likely to have a child die by its fifth birthday than couples not related by blood net of other factors associated with child mortality. Elimination of first cousin marriages would contribute to a modest decrease in the proportion of Pakistani families suffering the death of a child.     

The influence of cohort effects on mortality trends in India

The inferences drawn from this study are as follows: The stagnation/ increase in mortality rates of adult ages in the recent years in India as well as for the major states may be attributed to food shortages and price hikes experienced in the country during 1960–74. In other words, all those who were adults during 1980s had experienced the crisis of hunger due to nonavailability of food as well as entitlement failure during their childhood. These persons would have had higher risk of dying in their life time and that may be one of the main reasons for the stagnation or increase in adult mortality in India and in most of the states. The findings of the study suggest that, the economic crisis experienced in India during the late eighties, may decrease the survival chances of those born during this period in their future life time. However, successful containment of increase in food prices during the period of crisis would be helpful in protecting the entitlement of vulnerable groups. The policy implication of the study is that it is essential to control the prices of food during the time of food shortages and or economic crisis and even in the period when food is available, measures should be undertaken to evolve efficient distribution system ensuring the supply of food to those vulnerable groups, who were unlucky to be born or were in infancy during the period of economic crisis. Thus, essentially this is a study in interaction of economic factors and demographic trends in an economy where large segments of the population are periodically subject to heightened food insecurities, compression of real wages and entitlement failures.     

Thank God it's Friday: The weekly cycle of mortality in Israel

The purpose of this study was to explore the weeklycycle of mortality among Jews in Israel. Drawing onprevious research on the association between holy-daysand the timing of death, we hypothesized thatmortality of Jews declines on Sabbath (Saturday), andrises to a peak on Sundays. We analysed daily numbersof deaths of Jewish men and women aged 5 and above inIsrael from 1983 to 1992, and found a clear andsignificant dip-peak pattern in the number of deathsaround the Sabbath. This pattern was found for allcauses of death, was stronger for men than for women,and was not found among young Jewish children, oramong the non-Jewish population.     

Changes in mortality and life expectancy: Some methodological issues

Measuring and explaining the effects of mortality changes on life expectancy has been discussed for the past three decades. Different approaches have been proposed using discrete or continuous methods. Two basic ideas underlie these approaches. The first compares two different mortality schedules and quantifies the contribution of each age group to the increase in life expectancy. The second analyzes how the progress in the mortality schedule translates into progress in life expectancy. This paper discusses and compares the approaches proposed by the United Nations (1982), Arriaga (1984), Pollard (1982, 1988), and Vaupel (1986), identifying their problems, advantages, and the types of situations where each one can best be applied.     

Postneonatal diarrhea mortality of Mexican American and Anglo American infants: Trends and context

In the 1930s and 1940s, the Mexican origin population of San Antonio, Texas, USA, was desperately impoverished and inhabited some of the worst slums in the USA. Mortality of Mexican origin infants in the 1930s and 1940s was dominated by diarrhea, a cause of death identified with fecal contamination of the environment. The postneonatal diarrhea mortality rate (risk) was 48 per 1,000 Mexican origin infants, but only 7 per 1,000 Anglo infants. By 1970 this cause of death had virtually disappeared in both populations, but in the 35 years of 1935-1969, Mexican origin infants accounted for over 90 percent of all diarrhea deaths in the city. Limited evidence suggests that miserable living conditions without proper water supplies and sanitation in the densely settled Mexican American neighborhoods gave rise to environmental contamination which resulted in high diarrhea morbidity and mortality. The hypothesis is suggested that reduction of mortality from diarrhea was a consequence of specific community interventions.     

Gender equality and the sex differential in mortality from accidents in high income nations

Despite their neglect by researchers relative to other causes of death, motor vehicle and other accidents contribute substantially to sex differences in mortality and address theoretical debates over the consequences of gender equality. A reduction-in-protection hypothesis argues that gender equality reduces the female advantage in accident mortality, a reduction-in-inequality hypothesis argues that gender equality increases the advantage, and an institutional adjustment hypothesis argues that gender equality initially reduces and then increases the advantage. The analysis tests these hypotheses using data on age-specific male and female accident mortality rates and indicators of work and family status for 18 high income nations from 1955–1994.In support of the institutional adjustment hypothesis, declining differentials in male and female motor vehicle and other accident mortality rates level off and sometimes increase in recent years, and measures of work and family change generally have similar curvilinear influences on the differential. Across nations, gender equality speeds the reversal in the differential for motor vehicle accidents, but not for other accidents.     

Combining methods of insect pest control: Partitioning mortality and predicting complementarity

Summary An age-structured population model is used as a vehicle for presenting a method for the analysis of interactions between pairs of insect pest control methods. This analysis is based on partitioning the total mortality acting on a population into its constituent components from all known sources. Pairwise critical mortality curves are then constructed which represent the combined mortality required for eradicating the pest population. Effort curves are then constructed from computing the mortality resulting from a given amount of control effort. The convolution of the critical mortality curves and the effort curves then yields the isoclines formed by the effort required of two control methods in combination to achieve eradication. This analysis allows the prediction of either synergism or interference between the control methods and also helps explain patterns observed in previous modelling of such combinations of pest control methods.     

Adult mortality differentials associated with cigarette smoking in the USA

Although cigarette smoking has been extensively researched, surprising little knowledge has been produced by demographers using demographic perspectives and techniques. Thus, this paper contributes to the literature by extending a demographic framework to an important behavior for mortality research: cigarette smoking. In earlier works, the authors used nationally-representative data to show that cause of death patterns varied by smoking status and that multiple causes of death characterized smokers moreso than non-smokers. The present work extends previous analysis by estimating smoking status mortality differentials by underlying and multiple causes of death and by age and sex. Data from the 1986 National Mortality Followback Survey are related to data from the 1985 and 1987 National Health Interview Survey supplements to assess the smoking-related mortality differentials. We find that cigarette smoking is associated with higher mortality for all population categories studied, that the smoking mortality differentials vary across the different smoking status categories and by demographic group, and that the mortality differentials vary according to whether underlying cause or multiple cause patterns of death are examined. Moreover, the multiple cause analysis highlights otherwise obscured smoking-mortality relations and points to the importance of respiratory diseases and cancers other than lung cancer for cigarette smoking research.     

Effect of aggregation on the estimation of trend in mortality

There are three approaches to analyzing and forecasting age‐specific mortality: (1) analyze age‐specific data directly, (2) analyze each cause‐specific mortality series separately and add the results, (3) analyze cause‐specific mortality series jointly and add the results. We show that if linear models are used for cause‐specific mortality, then the three approaches often give close results even when cause‐specific series are correlated. This result holds for cross‐correlations arising from random misclassification of deaths by cause, and also for certain patterns of systematic misclassification. It need not hold, if one or more causes serve as “leading indicators”; for the remaining causes, or if outside information is incorporated into forecasting either through expert judgment or formal statistical modeling. Under highly nonlinear models or in the presence of modeling error the result may also fail. The results are illustrated with U.S. age‐specific mortality data from 1968–1985. In some cases the aggregate forecasts appear to be the more credible ones.     

Simultaneous estimation of mortality and dispersal rates of an artificially released population

Mark-recapture methods cannot estimate both mortality and dispersal rates of a wild population simultaneously. However, when an artificially cultured population is released into an area, the initial population size and the initial population distribution are usually known. If artificially cultured individuals are released with marks or distinguished from wild individuals or if no wild individual exists in the study area, we can estimate both the mortality and dispersal rates of the artificial population. The numbers of dispersed and dead individuals are estimated from the dispersal rate from the diffusion model and the total decreasing rate estimated from a mark-recapture data. We can estimate both the time-dependent and time-independent dispersal rates from the data. We choose the best fit model that has the smallest value of Akaike's Information Criteria. We also consider ‘concentric circles approximation” of spatial distribution, in which the cumulative and frequency distributions are analytically obtained.     

Fertility and mortality estimation from the Panama Retrospective Demographic Survey, 1976

Summary Data from the Retrospective Demographic Survey of Panama offer a unique opportunity to test a wide range of methods for estimating indirectly basic demographic parameters from inaccurate and incomplete data. Our primary emphasis is to evaluate methods for estimating adult mortality from information on widowhood and orphanhood, though estimates of childhood mortality obtained from information on sibling and child survivorship are assessed as well. The results for most of the estimating procedures are consistent; this finding is encouraging because it lends support to the hypothesis that the techniques can provide good estimates of mortality. Methods which produce results which are inconsistent provide valuable lessons. In particular, methods for providing unconditional estimates of values ofl (x) for adults by combining directly information on childhood mortality and adult mortality are shown to produce estimates which predominantly reflect the level of childhood mortality employed. Furthermore, within-method consistency of estimates appears to be a very poor indicator of reliable performance of the estimating technique or quality of data, since most methods yielded estimates which were internally consistent, though estimates made by different methods could differ considerably. In summary, the analysis indicates a birth rate of around 35 per thousand, a death rate of around 7.5 per thousand, a total fertility ratio of about 4.8, and expectations of life at birth of approximately 59 and 64 years for men and women respectively.     

Nonparametric Bayes and empirical Bayes estimation of the population median,with application in finite-population sampling

ABSTRACT

Nonparametric Bayes and empirical Bayes estimators of the population median are provided under Dirichlet process priors. The finite-population sampling is used to estimate the finite-population median under Dirichlet process priors. The asymptotic properties of the estimators are obtained from a frequentist perspective.     

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.     

全年龄人口死亡模型构建及应用——以江苏省为例

人口死亡特征不仅具有时间和区域属性,同时也具有年龄属性,多重属性决定了人口死亡规律的复杂性。在研究儿童少年期、青壮年期以及中老年期人口死亡模型的基础上,以江苏省为例构建了基于局部人口死亡模型的全年龄人口死亡模型,并对江苏省人口死亡过程进行了研究。研究表明：基于局部人口死亡模型的全年龄人口死亡模型能够细致刻画人口死亡过程依年龄变化的特点;江苏省儿童少年期、青壮年期和中老年期人口死亡模式可以分别采用威布尔对数线性模型、三次多项式模型和罗吉斯蒂模型来描述;近年来江苏省人口死亡水平不断下降,但各年龄层死亡水平下降特点不尽相同。     

The estimation of Chilean mortality (1860-1940): limits and possibilities

The limitations and errors in data sources, primarily censuses and vital statistics, concerning mortality in Chile from 1865 to 1940 are examined. Solutions are offered to adjust the sources' underestimations, particularly with regard to infant mortality.     

The response of violent mortality to economic crisis in Russia

From 1992 to 1994 life expectancy for Russian males dropped from 62.0 to 57.6 years. Female life expectancy dropped from 73.8 years to 71.2 years. This drop in life expectancy coincided in time with the introduction of painful economic reforms in Russia, leading to a rapid decrease in real wages and pensions, nearly complete loss of personal savings, and a tremendous increase in the poverty rate. This article examines the temporary changes in mortality for violent causes of death during the crisis period with a special emphasis on age-specific and gender-specific differences in the response to economic crisis.