A Cause-of-Death Decomposition of Young Adult Excess Mortality

We propose a method to decompose the young adult mortality hump by cause of death. This method is based on a flexible shape decomposition of mortality rates that separates cause-of-death contributions to the hump from senescent mortality. We apply the method to U.S. males and females from 1959 to 2015. Results show divergence between time trends of hump and observed deaths, both for all-cause and cause-specific mortality. The study of the hump shape reveals age, period, and cohort effects, suggesting that it is formed by a complex combination of different forces of biological and socioeconomic nature. Male and female humps share some traits in all-cause shape and trend, but they also differ by their overall magnitude and cause-specific contributions. Notably, among males, the contributions of traffic and other accidents were progressively replaced by those of suicides, homicides, and poisonings; among females, traffic accidents remained the major contributor to the hump.     

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.     

Trends in Causes of Death in Low‐Mortality Countries: Implications for Mortality Projections

This study examines the potential role that information about trends in causes of death could have in improving projections of mortality in low‐mortality countries. The article first summarizes overall trends in mortality by cause since the middle of the twentieth century. Special attention is given to the crucial impact of the smoking epidemic on mortality and on cause‐of‐death patterns. The article then discusses the implications for projections and reaches two conclusions. First, mortality projections can be improved by taking into account the distorting effects of smoking. Mortality attributable to smoking has risen in the past but has now leveled off or declined, thus boosting improvements in life expectancy. Second, making cause‐specific projections is not likely to be helpful. Trends in specific medical causes of death have exhibited discontinuities in the past, and future trends are therefore difficult to predict.     

Neighborhood Concentrated Disadvantage and Adult Mortality: Insights for Racial and Ethnic Differences

While racial and ethnic differences in mortality are pervasive and well documented, less is known about how mortality risk varies by neighborhood socioeconomic status across racial and ethnic identity. We conducted a prospective analysis on a sample of adults living at or below 300% poverty with 8 years of the National Health Interview Survey (N = 159,400) linked to 11,600 deaths to examine the association between neighborhood disadvantage and mortality for non-Hispanic whites, non-Hispanic blacks, and U.S.- and foreign-born Hispanics. Using multilevel logistic regression, we find that the probability of death from any cause for lower-income adults is higher in more-disadvantaged neighborhoods, compared to less-disadvantaged neighborhoods, but only for whites. The adjusted likelihood of death for blacks and foreign-born Hispanics is not associated with neighborhood disadvantage, and the likelihood of death for U.S.-born Hispanics is lower in more-disadvantaged neighborhoods. While future research and policy should focus on improving health-promoting resources in all communities, care should be given to better understanding why race/ethnic groups have differential mortality returns with respect to area-specific socioeconomic conditions.     

老龄多人口死亡率联合建模与一致性预测

退休年龄以上的老年人群死亡率预测是养老金精算和长寿风险度量的基础。针对我国大陆地区退休年龄以上人群死亡率数据量较小且波动较大的问题,借助多人口联合建模思想,基于单人口CBD模型,提出了一个适用于老龄死亡率建模的Logistic多人口模型。通过加入更多相关人口数据信息来预测我国老年人口死亡率,选取我国台湾地区分性别死亡率相关数据,与我国大陆地区分性别死亡率数据进行联合建模。研究发现,Logistic多人口死亡率模型比单人口CBD模型表现出更好的拟合效果和长期预测一致性效果。     

Estimating Mortality Level for Small Populations: An Evaluation of a Pair of Two-Census Methods

A pair of two-census methods of estimating mortality levels are tested with simulated census data. The populations considered range in size from 250 to 1500 individuals of each sex; censuses were taken at intervals of five and ten years. In general, the methods are resistant to bias, and yield variances similar in magnitude to those obtained using vital registration data and life table techniques for censored data. The two-census methods represent a substantial improvement over the techniques of mortality estimation previously available for small populations, since two reliable censuses are more likely to be available for these populations than complete vital registration.     

宁夏人口死亡率成因分析

宁夏人口死亡率自2000年以来连续7年低于5‰,为全国最低水平。本文从建国以来宁夏人口死亡率的变化特征、从经济社会发展水平、人们的生活方式、人口的年龄构成等方面对宁夏人口死亡率偏低原因进行深入的分析,为各级领导决策提供科学的政策理论依据。     

Cardiovascular and Tuberculosis Mortality: The Contrasting Effects of Changes in Two Causes of Death

Tuberculosis was the largest source of deaths among younger adults, and cardiovascular disease among older adults, in the America of 1900. Decreases in deaths from tuberculosis since 1900 and cardiovascular disease since 1940 explain most of the mortality drops in those age groups over the century. This article, building on previous work by White and Preston, shows the results of increased survival from these two causes on the US population structure. Standard demographic cause-specific mortality calculations are used to generate life tables without deaths from cardiovascular disease or tuberculosis. Then fixed rates for these diseases from early in the century are assumed while all other causes of death are allowed to change as they did historically. Improvements in cardiovascular mortality and tuberculosis produce some seemingly illogical contrasts. More people are alive today because of the decrease in tuberculosis. Yet more deaths from cardiovascular disease have been prevented, and cardiovascular improvements have raised life expectancy more. Lower tuberculosis mortality had virtually no effect on the average age of the population. Lower cardiovascular mortality alone has raised that average more than all twentieth-century causes of improved mortality combined.     

Mortality in Ghana: Evidence from the cape coast project data

Abstract This paper deals with the estimation of mortality for a rural community of about 20,000 persons in the rain-forest area of south-west Ghana. Specifically, infant, child and adult mortality estimates have been obtained by the application of a wide range of direct and indirect methods of measuring mortality from the different statistics collected by a longitudinal mortality and fertility project conducted during 1974-7. It was noted that infant and childhood mortality rates obtained from death registrations were consistent with those rates yielded by pregnancy histories and child survival statistics. However, the adult mortality estimates derived from orphanhood statistics tended to be lower than those suggested by death registrations. The analysis revealed an infant mortality rate of 100 for boys and 84 for girls, equal childhood mortality rates for boys and girls (85-6), a lower expectation of life at birth for men (45.8 years) than for women (52.8), and a much more severe incidence of mortality among men aged over 40 than for women at the corresponding ages.     

Mortality in Ghana: Evidence from the cape coast project data

This paper deals with the estimation of mortality for a rural community of about 20,000 persons in the rain-forest area of south-west Ghana. Specifically, infant, child and adult mortality estimates have been obtained by the application of a wide range of direct and indirect methods of measuring mortality from the different statistics collected by a longitudinal mortality and fertility project conducted during 1974–7. It was noted that infant and childhood mortality rates obtained from death registrations were consistent with those rates yielded by pregnancy histories and child survival statistics. However, the adult mortality estimates derived from orphanhood statistics tended to be lower than those suggested by death registrations. The analysis revealed an infant mortality rate of 100 for boys and 84 for girls, equal childhood mortality rates for boys and girls (85–6), a lower expectation of life at birth for men (45.8 years) than for women (52.8), and a much more severe incidence of mortality among men aged over 40 than for women at the corresponding ages.     

Introduction to the Special Issues on Societal Metabolism: Blending New Insights from Complex System Thinking with Old Insights from Biophysical Analyses of the Economic Process

Population and Environment -     

Mortality Deceleration and Mortality Selection: Three Unexpected Implications of a Simple Model

Unobserved heterogeneity in mortality risk is pervasive and consequential. Mortality deceleration—the slowing of mortality’s rise with age—has been considered an important window into heterogeneity that otherwise might be impossible to explore. In this article, I argue that deceleration patterns may reveal surprisingly little about the heterogeneity that putatively produces them. I show that even in a very simple model—one that is composed of just two subpopulations with Gompertz mortality—(1) aggregate mortality can decelerate even while a majority of the cohort is frail; (2) multiple decelerations are possible; and (3) mortality selection can produce acceleration as well as deceleration. Simulations show that these patterns are plausible in model cohorts that in the aggregate resemble cohorts in the Human Mortality Database. I argue that these results challenge some conventional heuristics for understanding the relationship between selection and deceleration; undermine certain inferences from deceleration timing to patterns of social inequality; and imply that standard parametric models, assumed to plateau at most once, may sometimes badly misestimate deceleration timing—even by decades.     

Some Individual Differences Influencing the Propensity to Happiness: Insights from Behavioral Economics

The present study investigated the differences between individuals with high and low level of happiness in regulatory focus, reference point setting and editing rules conformity. Participants (N = 570) responded to the general well-being (GWB) schedule. Those with GWB scores ±1 Z score from the sample mean (N = 182) were recalled to respond to the regular focus scale and self-frame questionnaire, and complete the editing rules test. The results suggested that compared to the individuals with low happiness, individuals with high happiness tend to be promotion focus rather than prevention focus, prefer to regard the current state as reference point, and more comply with editing rules that can produce the maximum psychological value. The current result further illustrated the subjectivity of happiness and suggested some practical ways to achieving more happiness.     

Precarious employment among South Korean women: Insights from a comparison to France

Family responsibilities for women are often associated with precarious employment. This relation varies depending on whether women can reconcile family life and work or not. Based on the Korean Labor and Income Panel Study from 1998 to 2008 and on the French part of the European Community Household Panel between 1998 and 2001, a multiple correspondence analysis shows that precariousness in employment is correlated with family life and levels of education. The better conditions of work-family balance in France enable young mothers to combine family life with stable employment of good quality, which is not the case for South Korean women. The comparison of the two countries highlights the necessary reforms in favor of women’s better being.     

Rethinking Historical Reproductive Change: Insights from Longitudinal Data for a Spanish Town

A set of linked reproductive histories taken from the Spanish town of Aranjuez between 1871 and 1950 is used to address key issues regarding reproductive change during the demographic transition. These include the role of child survival as a stimulus for reproductive change, the use of stopping and/or spacing strategies to achieve reproductive goals, and the timing of change. Straightforward demographic measures are used and robust results are achieved. Initial strategies of fertility limitation are shown to exist but are inefficient, are mostly visible during the latter part of the reproductive period, are designed mostly to protect families from the effects of increases in child survival, and are based almost entirely on stopping behavior. As mortality decline accelerates, strategies become much more efficient, are visible at the outset of married life, include spacing behavior, and eventually lead to important declines in completed family size. The results of this study have implications for our understanding of the demographic transition both in historical Europe and in other regions of the world.     

Long-term Mortality Patterns in Chinese History: Evidence from a Recorded Clan Population

This paper addresses the emerging interest in the relationship between homeostatic models and demographic transition theory. Firstly, it considers the nature of fertility measurement and concepts. The paper then goes on to examine evidence from pre-transitional societies in which demographic regimes have been most thoroughly studied, summarizing what is known about their character. The nature and current status of homeostatic theories in demography and the institutional supports of pre-transitional regimes are considered. The implications of the findings on pre-transitional populations for transition theory are then discussed. The paper concludes with suggestions for ways in which studies of transition within a framework of homeostatic regimes could be developed.     

Famine Mortality in Nineteenth-Century Japan: The Evidence from a Temple Death Register

Economic and demographic historians who have studied Japan's early modern period argue that preventive checks to fertility were the primary cause of Japan's stationary population in the eighteenth and early nineteenth centuries, and that the role of ‘positive’ checks was negligible. This paper presents evidence and a claim that mortality crises – famines in particular – also played an important role in checking population growth during this period. It analyses data from the death register of Ogen-ji, a Buddhist temple in the Hida region of central Japan. These data provide a remarkably detailed picture of the short-term demographic consequences of Japan's last great famine, the Tenpō famine of the 1830s. ‘Normal’ mortality patterns, by age and sex, are compared with patterns of mortality during the famine. Mortality of males rose considerably more than that of females, with the greatest rise occurring among young boys aged 5–14 and adult men aged 30–59. A surprising finding was that mortality at ages 0–4 rose relatively little, in part a consequence of a marked fall in the number of births during the famine. The Tenpō subsistence crisis was not the sole cause of population stagnation in the Ogen-ji population, but it was a prominent feature of the ‘high mortality regime’ that this population experienced during the eighteenth and nineteenth centuries.     

Population Dynamics in Italy in the Middle Ages: New Insights from Archaeological Findings

Studies of settlements in Italy indicate that during the Early Middle Ages (6th–9th centuries) the Italian population was stagnant, whereas a slow but persistent growth followed during the High Middle Ages (10th–13th). However, the components of the dynamics of the Italian population in the long period between the Justinian Plague (around 565 in Italy) and the Black Death (1348) are largely unknown. In this article, data from anthropometric analysis of the skeletons in 154 Italian cemeteries that date between the 1st century BCE and the 13th century are used to gain new insights on mortality of adults and nutrition. Adult mortality was higher during the Early Middle Ages than during the Roman Empire and the High Middle Ages, suggesting that the stagnation of population was determined by higher mortality. During the Early Middle Ages, however, nutritional levels were higher, as suggested by taller statures, more widespread meat consumption, and longer periods of breastfeeding. We discuss some possible research lines to resolve this apparent contradiction.     

Multidimensional Poverty and Inequality: Insights from the Upper Blue Nile Basin,Ethiopia

As stated in the 2018 global Multidimensional Poverty Index (MPI) report, Ethiopia has the second largest multidimensionally poor population in Africa (after Nigeria). The global MPI was created to measure household’s multiple deprivations, but little systematic study has been carried out on the application of MPI measures on a smaller scale and vis-à-vis other measures of poverty. In addition, most of the few existing studies ignore any measure of inequality amongst the multidimensionally poor. This study explored multidimensional poverty in three different drought-prone agro-ecological settings of the Upper Blue Nile basin, Ethiopia. A preliminary participatory exercise was carried out at the study sites to select important indicators and then a structured survey was administered to 390 systematically and randomly selected households. The Alkire–Foster method was used to analyse multidimensional poverty and verified it with Correlation Sensitive Poverty Index (CSPI). Multidimensional poverty incidence, adjusted head count ratio and inequality were significantly different between study sites (p?<?0.001). Results indicated a high incidence (88%, 82% and 80%), intensity (52%, 55% and 56%), MPI (46%, 45% and 45%) and inequality (53%, 60% and 63%) of poverty in Aba Gerima, Guder and Dibatie study sites, respectively. A high level of divergence was revealed between the MPI and CSPI in terms of identifying the poor. The living standard and land and livestock ownership dimensions contributed the most to MPI. The case study signifies the importance of inclusion of land and livestock indicators for the national MPI. Besides, it implies that researchers and policymakers need to account for smaller scale contextualised indicators and location differences when studying and designing anti-poverty interventions.