Gender differences in life expectancy at birth in Greece 1994–2017

In this paper, we analyse the difference in life expectancy at birth between females and males in the Greek population between the years 1994–2017. After constructing life tables per gender, we used the method of Arriaga in order to decompose life expectancy’s differences by age and sex. We found that the gender gap increased until 2009 and decreased afterwards. Moreover, we estimated the differential contribution of the broad age groups of the population to the regulation of gender inequalities in longevity and studied the different effect of the causes of death. Besides age, the most important regulators are the neoplasms and the diseases of the circulatory system, followed by the external causes of morbidity and mortality, as well as the diseases of the respiratory system. All other causes of death play a marginal role. The results of the analysis indicate the need for the development and expansion of several public interventions and programs in order, not only to reduce the gender inequalities in longevity, but also to reduce the prevalence of several preventable diseases in the population.

     

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.     

Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses

Patterns of diversity in age at death are examined using e ^†, a dispersion measure that equals the average expected lifetime lost at death. We apply two methods for decomposing differences in e ^†. The first method estimates the contributions of average levels of mortality and mortality age structures. The second (and newly developed) method returns components produced by differences between age- and cause-specific mortality rates. The United States is close to England and Wales in mean life expectancy but has higher life expectancy losses and lacks mortality compression. The difference is determined by mortality age structures, whereas the role of mortality levels is minor. This is related to excess mortality at ages under 65 from various causes in the United States. Regression on 17 country-series suggests that e ^† correlates with income inequality across countries but not across time. This result can be attributed to dissimilarity between the age- and cause-of-death structures of temporal mortality reduction and intercountry mortality variation. It also suggests that factors affecting overall mortality decrease differ from those responsible for excess lifetime losses in the United States compared with other countries. The latter can be related to weaknesses of health system and other factors resulting in premature death from heart diseases, amenable causes, accidents and violence.     

The cocos-keeling islands: A demographic laboratory

The Cocos Islands, which are situated in the Indian Ocean approximately halfway between Colombo and Fremantle, were first peopled early in the nineteenth century and were gradually developed as a very isolated coconut plantation with a labour force consisting partly of persons of Malay stock descended from the original group of settlers and partly of Bantamese contract labourers from Java. As the Cocos-born population increased in size, the dependence on contract labour decreased and, before the end of the century, all immigration ceased. The 1947 Malay population of the islands was about 1,800.

The islands are fascinating from a demographer's point of view because there was a virtually complete registration of live births, deaths and marriages and a partial registration of stillbirths. With these registration records it was possible to construct the life history of every individual from birth, through infancy and childhood to marriage, and thence through fatherhood or motherhood to death.

The picture revealed by an analysis of these records is that of a population with very high fertility and with mortality at a high level before the first World war and at a medium level after that war. Crude birth rates varied between 50 and 60 per thousand population during the period 1888 to 1947. Crude death rates were between 30 and 40 per thousand population until 1912 but under 2.0 per thousand population after 1918.

Most Cocos girls married before reaching the age of 20 and there were an average of between eight and nine live births per woman living through the childbearing period. There was a steady decline in the average number of live births with advancing age at marriage from age 16 onwards. A significantly high proportion of those dying in the middle of the childbearing period had never married, but the fertility of those marrying at an early age (14, 15 and 16) and dying before reaching the age of 36 was slightly higher than that of those who married at a similar age and survived. Women who survived to the age of 55 were of higher fertility than those who died between the ages of 40 and 55. An analysis of birth intervals revealed significant differences (a) between birth intervals after a stillbirth or after a live birth in which the child died in early infancy, and birth intervals after a live birth in which the offspring survived for longer than 0.4 years, and (b) between the interval from first to second birth and the subsequent birth intervals. There was a difference of almost exactly a year between the average birth interval after a stillbirth or live birth ending in a neo-natal death and the average birth interval after the birth of a child surviving to age 2; there was a similar difference of a year between corresponding median birth intervals.

From 1888 to 1912 infant mortality was well above 300 per thousand. After 1918 infant mortality averaged rather under 100 infant deaths per 1,000 live births. The reduction in infant mortality rates was accompanied by an increase in the mortality of children aged 1 to 4, and the heavy incidence of mortality at these ages after 1918 is the most striking feature of the analysis of mortality by age. Whilst mortality in infancy fell much more heavily on males than on females, early childhood mortality was much higher in Cocos for girls than for boys. The life table computed for the period 1918 to 1947 indicated a life expectancy of about 50 years for males and 47 years for females.     

Mortality,past and future

The study of mortality in previous centuries and of the trends in recent decades helps to elucidate some present-day medical problems and to contribute to their solution. The author considers, from a historical and socio-economic point of view, the factors which, during the last 200 years, have influenced the trends of mortality. This analysis indicates the lines along which present research, aimed at reducing mortality and extending expectation of life, should be directed.

Infancy (0–1 year): In backward countries, the whole of infancy is a period of high mortality. In progressive countries, on the other hand, the main reproductive wastage is in the ‘perinatal’ period, that is to say, covering stillbirths and deaths during the first week of life. For example, even in New Zealand, the death risk per day is more than eighty times as high during the first week of life than in the following 358 days.

Historical studies and social class comparisons suggest that further reduction of perinatal mortality is likely to depend on socio-economic, housing and cultural factors rather than on improvements in obstetric skill. Evidence cited by the author indicates that a crucial factor may be to provide expectant mothers with adequate rest during the weeks immediately prior to delivery. In general, research into mortality in infancy is too much bounded by a purely medical point of view whereas a socio-medical approach is needed.

Childhood (1–14 years): There has been an immense reduction in childhood mortality during the last 200 years. Less than 200 years ago the mortality among children aged 1–4 and 5–9 years was thirty-three times, and among those aged 10–14 years twelve times, that of the present day. Future reduction of mortality among children will be primarily a function of social factors and trends.

Adolescence and maturity (15–49 years): One of the outstanding trends of the last 200 years has been a relative increase in tuberculosis mortality among those aged 15–49 years, whereas among children tuberculosis has become relatively less important

as a cause of death. Recently, however, there has been a decline in the relative importance of tuberculosis as a cause of death among the adolescent and mature and, among New York males, it now takes second place to the cardiovascular

diseases. The total mortality of people in this age group has fallen, since the sixteenth century, by 77% for men and 81% for women. No spectacular discoveries are needed to reduce the mortality of this group by a further third; in doing this, control of environment will be the important factor.

Later maturity and old age (50 years and over): In the four centuries since the Renaissance the mortality of people over 50 years of age has been reduced by half. Among the factors contributing to this reduction is a fall in mortality due to tuberculosis. But even cancer, which is popularly supposed to have increased, used to be more common in the eighteenth century than it is now and to appear at an earlier. age. Moreover, there has been a change in the organs most commonly affected. The distribution of the greater proportion of cancer in a given population is a function of living conditions in the broadest sense of the term. Studies of groups exposed to carcinorelevant factors suggest that a high incidence of cancer in one organ is associated with a low incidence in other organs. But on many other causes of death at the older ages far more research is required, especially on the cardio-vascular-renal complex, and on the degenerative joint and bone diseases.     

Russian Mortality Crisis and the Quality of Vital Statistics

Mortality from ill-defined conditions in Russia has the fastest rate of increase compared to all other major causes of death. High proportion of deaths in this category is indicative for low quality of mortality statistics. This article examines the trends and possible causes of mortality from ill-defined conditions in Russia. During 1991–2005, mortality from ill-defined conditions in Russia increased in all age groups. The pace of increase was particularly high at working ages and the mean expected age at death from ill-defined conditions has shifted to younger ages, particularly for men. The analysis of individual medical death certificates issued in Kirov and Smolensk regions of Russia demonstrate that 89–100% of working-age deaths from ill-defined conditions correspond to human bodies found in a state of decomposition. Data from Smolensk region shows that over 60% of these decedents were unemployed. Temporal trends of mortality from ill-defined conditions and injuries of undetermined intent in Moscow city suggest that deaths from the latter cause were probably misclassified as ill-defined conditions. This practice can lead to underestimation of mortality from external causes. Growing number of socially isolated marginalized people in Russia and insufficient investigation of the circumstances of their death contribute to the observed trends in mortality from ill-defined conditions.     

Recent trends in multiple-caused mortality 1968 to 1982: Age and cohort components

Declines in mortality at advanced ages have been observed recently in the United States. These declines have been related to a reduction in the risk of major circulatory diseases, such as stroke and heart disease. In this paper we examine the contribution of two additional major factors in those declines. The first is the effect of conditions associated with circulatory diseases. This effect can be examined by using multiple-cause mortality data in which all conditions reported by the physician on the death certificates are recorded. The second is the contribution of cohort mortality differentials to temporal changes. If major cohort differentials are identified, we may be able to determine if recent declines in mortality are likely to continue-and to what levels. Such insights would be useful both in improving projections of the size and age structure of the U.S. elderly population and its entitlement groups and in helping to identify future patterns of needs for preventive and other health services.     

Period‐Based Mortality Change: Turning Points in Trends since 1950

We investigate a major turning point in mortality trends at adult ages that occurred for many low‐mortality countries in the late 1960s or early 1970s. We analyze patterns of total and cause‐specific mortality over the past 60 years using data from the Human Mortality Database and the World Health Organization. We focus on four broad categories of causes of death: heart diseases, cerebrovascular diseases, smoking‐related cancers, and all other cancers. We use a two‐slope regression model to assess the timing and magnitude of turning points in mortality trends over this era, making separate analyses by sex, age, and cause of death. The age pattern of temporal changes is given particular attention. Our results demonstrate convincingly that period‐based factors were very significant in the onset of the “cardiovascular revolution” in the years around 1970. In general, although cohort processes cannot be ruled out as a driver of mortality change in recent decades (especially for mortality due to smoking‐related cancers), the evidence reviewed here suggests that period factors have been the dominant force behind the mortality trends of high‐income countries during this era.     

Trends in Numbers and Mortality at High Ages in England and Wales

In the paper new estimates of the numbers of deaths and death rates at ages 80 and over in England and Wales are derived for the period 1911–90. These estimates were made by applying the methods of extinct generations and reverse survival to data on deaths in 1911–90, and pensioners in 1990. Estimates are given for individual years of age. It is found that death rates at these high ages have been falling, slowly, for the last 50 years. The paper also gives information on the highest ages at death which have been recorded and verified.     

Heterogeneity,dependence among causes of death and Gompertz

Heterogeneity in a population with respect to mortality, or variation in “frailty”; among members of that population, which has been discussed extensively in the literature over the last decade and a half is essential to any realistic model of dependence among causes of death. The main problem then is the development of a mortality model incorporating heterogeneity and cause of death which is both realistic and of manageable proportions.

In a recent paper (J. H. Pollard, 1991), it has been shown that many life table results are remarkably insensitive to the strict shape of the mortality curve, at least for more developed populations, and that accurate approximations can in many cases be obtained knowing only the mortality rates at two representative ages (e.g. 50 and 70). These results and the Gompertz “law”; of mortality can be used to develop manageable approximate formulae for the expectation of life under heterogeneity and correlation among the causes of death. The formulae are confirmed by simulation.

Numerical results indicate, somewhat surprisingly, that the effects of correlation among causes of death, even at quite high levels, on expectation of life and changes on expectation of life when particular causes of death are reduced or eliminated are relatively minor.     

Deceleration in the age pattern of mortality at olderages

The rate of mortality increase with age tends to slow down at very old ages. One explanation proposed for this deceleration is the selective survival of healthier individuals to older ages. Data on mortality in Sweden and Japan are generally compatible with three predictions of this hypothesis: (1) decelerations for most major causes of death; (2) decelerations starting at younger ages for more “selective” causes; and (3) a shift of the deceleration to older ages with declining levels of mortality. A parametric model employed to illustrate the third prediction relies on the distinction between senescent and background mortality. This dichotomy, though simplistic, helps to explain the observed timing of the deceleration.     

Structure and change in causes of death: An international summary

Abstract Model patterns of the cause structure of mortality at different levels were established for males and females, based on data for 165 national populations. These patterns suggest that the cause of death most responsible for mortality variation is influenza/bronchitis, followed by 'other infectious and parasitic diseases', respiratory tuberculosis, and diarrhoeal disease. Together, these causes typically account for about 60 per cent of the change in level of mortality from all causes combined. Their respective contributions have not depended in an important way on the initial level of mortality. These results - especially tbe importance of the respiratory and diarrhoeal diseases - imply that past accounts may have over-emphasized the role in mortality decline of specific and well-defined infectious diseases and their corresponding methods of control. There is strong statistical support for the suggestion that most of the remainder of mortality variation should be ascribed to changes in cardio-vascular diseases, but that methods of cause-of-death assignment in high-mortality populations have often obscured the importance of these diseases. When death rates from 'other and unknown' causes are held constant, changes in cardio-vascular disease account for about one-quarter of the decline in mortality from 'all causes'.Although the causal factors are poorly established, corroborative results have been demonstrated cross-sectionally in the United States. The composition of the group of populations most deviant from the structural norms is apparently dominated by differentials in the mode of assigning deaths to cardio-vascular disease. However, when broad groups of regions or periods are distinguished, more subtle differences emerge. Controlling mortality level for all causes combined, diarrhoeal diseases are significantly higher in non-Western populations and southern/eastern Europe than in overseas Europe or northern/western Europe. These differences are probably related to standards of nutrition and personal hygiene, but may also reflect climatic factors. Much higher cardio-vascular mortality in overseas European populations than in non-Western populations at similar overall levels probably reflects variation in habits of life. Regional differences in death rates from violence, maternal mortality, respiratory tuberculosis and influenza/pneumonia/bronchitis are briefly noted and commented upon. Cause-of-death structures at a particular level of mortality display some important changes over time. Respiratory tuberculosis and 'other infectious and parasitic diseases' have tended to contribute less and less to a certain level of mortality. They have in part been 'replaced' by diarrhoeal disease, specifically in non-Western populations. These developments reflect an accelerating rate of medical and public health progress against the specific infectious diseases, and a disappointing rate of progress against diarrhoeal disease. Western and non-western populations have shared to approximately the same extent in the accelerating progress against infectious diseases, and developments during the post-war period are more appropriately viewed as an extension of prior trends rather than as radical departures therefrom. For males, cardio-vascular disease and cancer have significantly increased their contribution to a particular level of mortality, while no such tendency is apparent for females. These developments may be related to changes in personal behaviour and in environmental influences whose differential impact on the sexes has been demonstrated in epidemiological studies. Although we have avoided an explicit treatment of age by having recourse at the outset to standardization, certain of the results are apparently reflected in studies of age patterns of mortality. The joint occurrence in non-Western populations and Southern/Eastern populations of exceptionally high death rates from diarrhoeal disease may explain why the 'South' age-pattern, with it high death rates between ages one and five, is often the most accurate referent for use in Latin America and Asia. The fact that the list of populations with the least deviation cause structure is almost exclusively confined to members of the 'West' group of Coale and Demeny may account for the lack of persistent deviation in this group's age patterns. Finally, tbe increasing importance of cardio-vascular disease and neoplasms in cause-of-death structures for males but not females is probably associated with the changing age patterns of male mortality noted by Coale and Demeny.     

Lifespan Variation by Occupational Class: Compression or Stagnation Over Time?

Cross-sectional analyses of adult lifespan variation have found an inverse association between socioeconomic position and lifespan variation, but the trends by social class are unknown. We investigated trends in lifespan variation over four decades (1971–2010) by occupational social class (manual, lower nonmanual, upper nonmanual, other) using Finnish register data. We performed age and cause-of-death decompositions of lifespan variation for each sex (a) by occupational class over time and (b) between occupational classes at a shared level of life expectancy. Although life expectancy increased in all classes, lifespan variation was stable among manual workers and decreased only among nonmanual classes. These differences were caused by early-adult mortality: older-age lifespan variation declined for all the classes, but variation in early-adult mortality increased for all classes except the highest. The manual class’s high and stagnant lifespan variation was driven by declines in circulatory diseases that were equally spread over early mortality-compressing and older mortality-expanding ages, as well as by high early-adult mortality from external causes. Results were similar for men and women. The results of this study, which is the first to document trends in lifespan variation by social class, suggest that mortality compression is compatible with increasing life expectancy but currently achieved only by higher occupational classes.     

Underlying and multiple causes of death related to smoking

Although smoking has been linked to various causes of death, there is no systematic account of the underlying and multiple cause-of-death distributions associated with various smoking statuses. We analyze such patterns by age and gender for the USA in 1986. Our study is based on a one-percent random sample of decedents 25 and over in the USA for whom survey data from informants were linked to death certificate data. Smoking is related to several underlying causes of death, the most common being circulatory diseases. Lung cancer is less prevalent than circulatory diseases or other cancers among ever smokers. Multiple medical conditions are common for both smokers and nonsmokers, but particular combinations vary among persons with different smoking statuses. Former smokers who quit soon before death and were under frequent medical care are most likely to have had lung cancer. Amount of smoking is tied to variations in cause-of-death patterns. Differences by age and gender are not substantial, although other cancers appear frequently for both smokers and non-smokers among women. The distribution of medical causes of death for ever smokers is not radically different from that of never smokers. However, differences in cause patterns are seen when smoking statuses are detailed by amount of smoking and timing of quitting. These similarities and differences in cause patterns must be related to the fundamental fact that the average smoker will die earlier than the average nonsmoker. Such findings should especially influence programs for diseases whose links to smoking have been underestimated.     

Mobile Internet Use and Multidimensional Poverty: Evidence from A Household Survey in Rural China

The impact of specific living conditions on the population of geographically and socially segregated Roma settlements in Eastern Slovakia is considerable. They are characterized by high unemployment, lower education, poor housing and sanitary conditions, a poor quality of life, which all affects significantly their higher mortality rates and worse health status. In this paper we try to approach the problem of adverse mortality conditions and health with a deeper demographic insight. The fundamental goal of the paper is to analyse mortality in the population from Roma settlements over the past two decades using complex demographic methods such as life tables, direct standardization with the objective of eliminating differences in the age structure, single and multi-dimensional decomposition of age, sex and causes of death. We also analyse mortality using the concept of avoidable mortality. The results obtained from Roma settlements confirmed significantly worse mortality rates for both sexes. In addition, it appears that the disparities between them and the majority population are growing over time. The primary reason is the higher mortality of the youngest children and persons at post-reproductive age. Basically, all main chapters of the causes of death shorten the life expectancy of persons from Roma settlements, but cardiovascular diseases have the greatest negative impact. Conclusions obtained from the avoidable mortality analysis point to problems related to the accessibility and quality of health care, as well as the lack of interest of population from Roma settlements in their own health, along with the need for more targeted prevention and screening campaigns in this environment. Although the answers of respondents from Roma settlements to their own health confirm the deteriorating quality of health, increasing morbidity and the degree of restriction of normal daily activities with increasing age, they also point to some problems associated with the use of this approach.

     

Effects of targets and aggregation on the propagation of error in mortality forecasts

Official forecasts of mortality depend on assumptions about target values for the future rates of decline in mortality rates. Smooth functions connect the jump‐off (base‐year) mortality to the level implied by the targets. Three alternative sets of targets are assumed, leading to high, middle, and low forecasts. We show that this process can be closely modeled using simple linear statistical models. These explicit models allow us to analyze the error structure of the forecasts. We show that the current assumption of perfect correlation between errors in different ages, at different forecast years, and for different causes of death, is erroneous. An alternative correlation structure is suggested, and we show how its parameters can be estimated from the past data.

The effect of the level of aggregation on the accuracy of mortality forecasts is considered. It is not clear whether or not age‐ and cause‐specific analyses have been more accurate in the past than analyses based on age‐specific mortality alone would have been. The major contribution of forecasting mortality by cause appears to have been in allowing for easier incorporation of expert opinion rather than in making the. data analysis more accurate or the statistical models less biased.     

Temporal trends in U. S. multiple cause of death mortality data: 1968 to 1977

An analysis is made of the mortality trends over the period 1968 to 1977 indicated by two types of cause-specific mortality data. The first type of data is “underlying cause” of death data—the data heretofore used in national vital statistics reports on cause-specific mortality. The second type of data is “multiple cause” data which contain a listing of all medical conditions recorded on the death certificate. A comparison of trends in the two types of data yields useful insights on mortality declines over the study period for two reasons. First, these declines were largely due to a reduction in the mortality rates of circulatory diseases. Second, the multiple cause data contain considerably more information than the underlying cause data on the role of circulatory diseases, and many other chronic diseases, in causing death. This additional information is especially useful in examining mortality patterns among the elderly, where the prevalence at death of chronic degenerative diseases is high.     

Continued Reductions in Mortality at Advanced Ages

Mortality data for 30 mostly developed countries available in the Kannisto–Thatcher Database on Old‐Age Mortality (KTDB) are drawn on to assess the pace of decline in death rates at ages 80 years and above. As of 2004 this database recorded 37 million persons at these ages, including 130,000 centenarians (more than double the number in 1990). For men, the probability of surviving from age 80 to age 90 has risen from 12 percent in 1950 to 26 percent in 2002; for women, the increase has been from 16 percent to 38 percent. In the lowest‐mortality country, Japan, life expectancy at age 80 in 2006 is estimated to be 6.5 years for men and 11.3 years for women. For selected countries, average annual percent declines in age‐specific death rates over the preceding ten years are calculated for single‐year age groups 80 to 99 and the years 1970 to 2004. The results are presented in Lexis maps showing the patterns of change in old‐age mortality by cohort and period, and separately for men and women. The trends are not favorable in all countries: for example, old‐age mortality in the United States has stagnated since 1980. But countries with exceptionally low mortality, like Japan and France, do not show a deceleration in death rate declines. It is argued that life expectancy at advanced ages may continue to increase at the same pace as in the past.     

Economic Conditions in Early Life and Circulatory Disease Mortality

I test the Developmental Origins of Health and Disease hypothesis using a cohort perspective on mortality. I combine data from the National Health Interview Survey Linked Mortality Files, 1986–2006, and U.S. economic data between 1902 and 1956 (403,746 respondents and 39,439 deaths), to estimate how exposures to adverse economic conditions in utero and during the first three years of life affect circulatory disease mortality risk in adulthood. I also examine cohort‐based variation in these associations. Findings suggest that in utero exposures to poor economic conditions increased risk of death from circulatory diseases. Results are consistent with theory and evidence suggesting that developmental processes early in life are strongly associated with circulatory disease susceptibility in older adulthood. However, findings indicate that the mortality effects of these early‐life exposures have likely weakened across birth cohorts.     

Demographic crisis: The impact of the Bangladesh civil war (1971) on births and deaths in a rural area of Bangladesh

Summary In Matlab Bazaar Thana the Cholera Research Laboratory has registered the births, deaths and migrations in a population of approximately 125,000 since 1966. Although this rural area was not the scene of any significant armed encounters, striking changes in birth and death rates were registered during and after the conflict. Birth rates did not change during the relatively brief period of the civil war, but a small decline was registered for one year after the war. Fertility rates which had been declining slightly and irregularly in the pre-war baseline period may have increased slightly during the war and fell substantially in all age groups in the year following the war. The crude death rate, which rose by 37 per cent during the war, was a very sensitive reflection of the administrative and economic problems. Overall infant mortality rose by only 15 per cent over pre-war levels because all of the increase was observed in the post-neo-natal component, which traditionally accounts for less than one-third of the total infant mortality in Bangladesh. Children and older adults accounted for the majority of excess deaths which were largely attributed to acute diarrhoeas and other gastro-intestinal causes. The death rate at ages 1-4 rose by 43 per cent and at ages 5-9 soared to 208 per cent above pre-war baseline rates. All increases in age-specific mortality rates fell to baseline levels during the year following the war, except the 5-9-year age group, in which rates continued to be high largely because of deaths due to dysentery.