The narrowing sex differential in life expectancy in high-income populations: effects of differences in the age pattern of mortality

Excess Mortality of Males Due to Chronic Obstructive Pulmonary Disease (COPD) in Poland

At present, female life expectancy exceeds male life expectancy almost worldwide. However, numerous studies indicate that this disparity is gradually decreasing. In Poland, the gender gap in life expectancy peaked in 1991 when it amounted to 9.2 years. Since then, a narrowing of the gap has been observed, reaching 8 years in 2021. Decreasing differences in life expectancy between men and women in Poland were mainly the result of a reduction in mortality due to ischaemic heart disease, cerebrovascular disease, and a number of malignancies.Less attention has been paid to chronic obstructive pulmonary disease (COPD) although it is the third leading cause of death worldwide. This paper includes an analysis of mortality due to chronic obstructive pulmonary disease COPD. The male excess mortality was calculated as the ratio of mortality rates in the male population scaled up to the corresponding rates in the female population using both crude and standardised detailed mortality rates. The Joinpoint model was used to determine time trends. It was shown that from 2008 to 2021, the excess mortality of men due to COPD in Poland decreased by 3.3% per year from 2.4 to 1.7 when using crude coefficients, while when standardised coefficients were applied, it decreased significantly by 3.9% per year from 3.8 to 2.4. The decrease in the excess mortality of men in Poland was due to a simultaneous decrease in mortality in the population in general; however, a greater decrease was observed in the male population. The mortality of men and women, and, at the same time, the excess mortality of men caused by COPD in Poland decreased faster in the period studied than in other European countries.

Sex differences in cause-specific mortality: regional trends in seven European countries, 1996-2019

BACKGROUND

Male excess mortality is mostly related to non-biological factors, and is thus of high social- and health-policy concern. Previous research has mainly focused on national patterns, while subnational disparities have been less in the focus. This study takes a spatial perspective on subnational patterns, covering seven European countries at the crossroad between Eastern and Western Europe.

METHODS

We analyze a newly gathered spatially detailed data resource comprising 228 regions with well-established demographic methods to assess the contribution of specific causes of death to the evolution of sex mortality differentials (SMDs) since the mid-1990s.

RESULTS

Our results show that declines in SMDs were mostly driven by a reduction of male excess mortality from cardiovascular diseases and neoplasms (about 50-60% and 20-30%, respectively). In Western Europe, trends in deaths from neoplasms contributed more to the reduction of SMDs, while among regions located in Eastern-Central Europe narrowing SMDs were mostly driven by changes in cardiovascular disease-related deaths. Moreover, men show up to three times higher mortality levels from external causes as compared to women in several analyzed regions. But in absolute terms, external deaths play only a minor role in explaining SMDs due to their small contribution to overall mortality.

CONCLUSIONS

We conclude that examining the regional development of SMDs is useful for introducing targeted social and health policies in order to reduce and prevent mortality inequalities between women and men.

Contributions of age groups and causes of death to the sex gap in lifespan variation in Europe

Much less is known about the sex gap in lifespan variation, which reflects inequalities in the length of life, than about the sex gap in life expectancy (average length of life). We examined the contributions of age groups and causes of death to the sex gap in lifespan variation for 28 European countries, grouped into five European regions. In 2010-15, males in Europe displayed a 6.8-year-lower life expectancy and a 2.3-year-higher standard deviation in lifespan than females, with clear regional differences. Sex differences in lifespan variation are attributable largely to higher external mortality among males aged 30-39, whereas sex differences in life expectancy are due predominantly to higher smoking-related and cardiovascular disease mortality among males aged 60-69. The distinct findings for the sex gap in lifespan variation and the sex gap in life expectancy provide additional insights into the survival differences between the sexes.

Contributions of avoidable mortality to the sex gap in life expectancy and life disparity in Iran

BACKGROUND

Public health policies and healthcare quality play a pivotal role on the health outcome level and disparities across sociodemographic groups. However, there is little evidence on their role on disparities in life expectancy (LE) and life disparity (LD) in low and middle income countries. The present study aimed to assess the contributions of avoidable mortality, as a measure of inter-sectoral public health policies and healthcare quality, into the sex gap in LE (SGLE) and LD (SGLD) in Iran.

METHODS

Latest available data of death causes, according to the ICD codes, for Iran was obtained from the WHO mortality database for the period 2015-2016. An upper age limit of 75 years was applied to define avoidable causes of death. LD was measured as the average years of life lost at birth. The SGLE and SGLD (both females minus males) were decomposed by age and cause of death using a continuous-change model.

RESULTS

Females, on average, outlived males for 3.8 years (80.0 vs. 76.2 years) with 1.9 lower life years lost (12.6 vs. 14.4 years). Avoidable causes accounted for 2.5 (67%) and 1.5 (79%) years of the SGLE and SGLD, respectively. Among avoidable causes, injury-related deaths followed by ischaemic heart disease had the greatest contributions to both SGLE and SGLD. Across age groups, the age groups 55-59 and 60-64 accounted for the greatest contributions of avoidable causes to SGLE (0.3 years each), while age groups 20-24 and 55-59 had the greatest contributions to SGLD (0.15 years each). Lower mortality rates for females than males in age groups 50-74 years accounted for about half of the SGLE, while age groups 20-29 and 50-64 years accounted for around half of SGLD.

CONCLUSION

More than two third of the SGLE and SGLD in Iran were attributed to the avoidable mortality, particularly preventable causes. Our results suggest the need for public health policies targeting injuries in young males as well as lifestyle risk factors including smoking in middle aged males in Iran.

The contributions of injury deaths to the gender gap in life expectancy and life disparity in Eastern Mediterranean Region

BACKGROUND

Injury deaths constitute a major avoidable cause of death affecting life expectancy to a different degree in men and women. This study quantified the contributions of injury deaths to the gender gap in life expectancy (GGLE) and life disparity (GGLD) in nine Eastern Mediterranean Region (EMR) countries.

METHODS

We retrieved annual data on age-sex specific causes of death from the World Health Organization mortality database for EMR countries with at least 2-year consecutive data during 2010-2019. The injury-related deaths were categorized into five groups: transport accidents, other accidental injuries, intentional self-harm, assault and events of undetermined intent. Considering women as the reference, the GGLE and GGLD were decomposed by age and causes of death, using a continuous-change model.

RESULTS

The largest and smallest GGLE were observed in Kuwait (5.2 years) and Qatar (- 1.2 years), respectively. Qatar (- 2.2 years) and Oman (0.2 years) had the highest and lowest GGLD. The highest contributions of injury deaths to the GGLE/GGLD were seen in Libya (1.8/- 1.2 years), followed by Iran (1.2/- 0.8 years). Among injury causes, transport accidents were the leading cause of GGLE in all countries but Libya and Morocco, with Iran having the greatest contributions (0.6 years). Injury deaths in men aged 15-29 years accounted for 33% [41%] (Kuwait) to 55% [65%] (Oman) of total GGLE [GGLD] attributable to injury deaths.

CONCLUSIONS

High injury deaths, particularly transport accidents, among young men contributed substantially to the GGLE and GGLD across nine EMR countries in this study. This highlights the need for implementing preventing policies to reduce the burden of injury deaths specifically in young men.

Patterns in age and cause of death contribution to the sex gap in life expectancy: a comparison among ten countries

Women live longer than men and the absolute difference between male and female mortality risk reaches its maximum at old ages. We decomposed the sex gap in life expectancy and investigated the changes over time of the profile of the age–cause specific contributions with indicators of location, magnitude and dispersion in ten countries. Data were retrieved from the Human Cause-of-Death Database. The decomposition analyses revealed that neoplasm, heart diseases and external causes were the main drivers of the gender gap. We also find two main patterns in the development of age-specific contributions. With mortality delay, regarding neoplasm-related mortality and heart disease-related mortality, the shift (i.e., movement of the modal age at contribution towards older ages) and compression (i.e., dispersion concentrated on a shorter age interval) of the survival advantage of women over a narrower age range reveal that men are gradually improving their survival. This might be linked to improvements in survival, diagnosis and access to treatment, at least to those ages no longer affected by the most significant differences.

Sex-specific biomarkers in Alzheimer's disease progression: Framingham Heart Study

Background

Sex differences in Alzheimer's disease (AD) are not well understood.

Methods

We performed sex-specific analyses of AD and annualized cognitive decline with clinical and blood biomarker data in participants 60+ years old in the community-based longitudinal Framingham Heart Study Offspring Cohort (n = 1398, mean age 68 years, 55% women).

Results

During 11 years of follow-up, women were 96% more likely than men to be diagnosed with clinical AD dementia after adjusting for age and education in the younger age group 60 to 70 years (n = 946; 95% confidence interval [CI], 1.08 to 3.56) although not in the older age group (70+) (n = 452; hazard ratio = 0.98; 95% CI, 0.68 to 1.53). Sex-differences in incident AD rates decreased with increasing levels of education. The total contribution of the biomarkers to AD risk variance was 7.6% in women and 11.7% in men. One unit (pg/ml) lower plasma Aβ42 was associated with 0.0095 unit faster memory decline in women (p = 0.0002) but not in men (p = 0.55) after adjusting for age and education.

Discussion

Our study suggests that both early life and later-life pathological factors may contribute to potential sex differences in incident AD.

Probability of males to outlive females: an international comparison from 1751 to 2020

OBJECTIVE

To measure sex differences in lifespan based on the probability of males to outlive females.

DESIGN

International comparison of national and regional sex-specific life tables from the Human Mortality Database and the World Population Prospects.

SETTING

199 populations spanning all continents, between 1751 and 2020.

PRIMARY OUTCOME MEASURE

We used the outsurvival statistic ( φ ) to measure inequality in lifespan between sexes, which is interpreted here as the probability of males to outlive females.

RESULTS

In random pairs of one male and one female at age 0, the probability of the male outliving the female varies between 25% and 50% for life tables in almost all years since 1751 and across almost all populations. We show that φ is negatively correlated with sex differences in life expectancy and positively correlated with the level of lifespan variation. The important reduction of lifespan inequality observed in recent years has made it less likely for a male to outlive a female.

CONCLUSIONS

Although male life expectancy is generally lower than female life expectancy, and male death rates are usually higher at all ages, males have a substantial chance of outliving females. These findings challenge the general impression that 'men do not live as long as women' and reveal a more nuanced inequality in lifespans between females and males.

The impact of values of men and women on their life expectancy

The female advantage in life expectancy (LE) is found throughout the world, despite differences in living conditions. However, this advantage has diminished in recent years in countries with low mortality rates. In Russia, according to data for 2020, the difference in life expectancy at birth between women and men is 10 years (according to Rosstat) and is one of the highest in the world. The aim of our study is to find out what contribution to the gender gap in life expectancy can be made by the difference between men and women in terms of the value of health and the practice of self-caring behavior. To do this, we used data from the Sample Survey of Behavioral Factors Affecting the Health of the Population conducted by Rosstat in 2013, namely, the respondents' answers to a number of questions related to self-caring and health-preserving behavior. Using these questions, the level of the gap in the value of their own health and health-preserving behavior between Russian men and women is quantified according to the microdata of the survey using OLS regression and ordinal logit regression, where the respondent's answer to the question is used as a dependent variable, and the main independent variable is the gender of the respondent. The results showed that value attitudes to healthy lifestyle significantly affect health-preserving behavior. Correlations between the value of health and various aspects of health-preserving behavior turned out to be in the predicted direction. At the same time, at the level of the subjects of the Russian Federation, the analysis showed a high statistical significance of the following predictors of the gender gap in life expectancy: high levels of consumption of strong alcoholic beverages and tobacco smoking. The increase in the value of health among Russian men is here only of very limited importance for reducing the gender gap in life expectancy.

Abandonment of the Middle Cumberland Region of Tennessee during the Mississippian period: Temporal and sex differences in survivorship

OBJECTIVES

The current research explores survivorship differences in the Middle Cumberland Region of Tennessee during the Mississippian period (ca. 1000-1500 AD). Using updated paleodemographic methods, this study investigates whether individuals from the Late Mississippian period had lower survivorship compared to individuals from the Early Mississippian period, foreshadowing groups on the brink of abandonment. Additionally, this study examines whether there were sex disparities in survivorship.

MATERIALS AND METHODS

Adult age-at-death estimates from human skeletal remains (n = 545) were calculated using Transition Analysis, a Bayesian maximum likelihood method. Survivorship was reconstructed using Gompertz and Gompertz-Makeham hazards models, with Akaike Information Criterion compared to determine the best fitting model.

RESULTS

For individuals surviving into adulthood, mean age-at-death decreased by 7 years from the Early Mississippian to Late Mississippian period. Marked differences between the sexes indicate lower survivorship of females compared to males. Male survivorship decreased sharply from the Early Mississippian to Late Mississippian period, from a mean age-at-death of 57.99 years to 44.45 years. Female survivorship remained constant throughout the Mississippian period (41 years).

DISCUSSION

Temporal differences in male survivorship may be the result of interactions between climate change, decreased maize harvests, and sociopolitical strife. Sustained maternal mortality may have destabilized small-scale communities that characterized the Mississippian MCR, thereby precipitating population decline.

Quantifying self-rated age

Chronological age, in conjunction with population life tables, is widely used for estimating future life expectancy. The aims of this study are to estimate a subjective ageing indicator, namely self-rated age, and to evaluate its concurrent validity in comparison with other age indicators: subjective survival probabilities, subjective age, and biological age. We use data from the Wave 6 of the Survey of Health, Ageing and Retirement in Europe, Wave 12 of the Health and Retirement Study in the United States, and life tables from the Human Mortality Database. For the statistical analysis we use multinomial regression models. Our results indicate that health status and frequency of physical activities imply similar patterns of self- rated age, subjective survival probabilities, subjective age, and biological age. However, the impact of cognitive function differs by geographical region. Self-rated age can be interpreted as a subjective adjustment that better reflects the ageing process.

Life span inequality as a function of the moments of the deaths distribution: Connections and insights

Recent work has unearthed many empirical regularities in mortality trends, including the inverse correlation between life expectancy and life span inequality, and the compression of mortality into older age ranges. These regularities have furnished important insights into the dynamics of mortality by describing, in demographic terms, how different attributes of the life table deaths distribution interrelate and change over time. However, though empirical evidence suggests that the demographically-meaningful metrics these regularities involve (e.g., life span disparity and life table entropy) are correlated to the moments of the deaths distribution (e.g., variance), the broader theoretical connections between life span inequality and the moments of the deaths distribution have yet to be elucidated. In this article we establish such connections and leverage them to furnish new insights into mortality dynamics. We prove theoretical results linking life span disparity and life table entropy to the central moments of the deaths distribution, and use these results to empirically link statistical measures of variation of the deaths distribution (e.g., variance, index of dispersion) to life span disparity and life table entropy. We validate these results via empirical analyses using data from the Human Mortality Database and extract from them several new insights into mortality shifting and compression in human populations.

What have we learned about mortality patterns over the past 25 years?

In this paper, I examine progress in the field of mortality over the past 25 years. I argue that we have been most successful in taking advantage of an increasingly data-rich environment to improve aggregate mortality models and test pre-existing theories. Less progress has been made in relating our estimates of mortality risk at the individual level to broader mortality patterns at the population level while appropriately accounting for contextual differences and compositional change. Overall, I find that the field of mortality continues to be highly visible in demographic journals, including Population Studies. However much of what is published today in field journals could just as easily appear in neighbouring disciplinary journals, as disciplinary boundaries are shrinking.

Gender gap in life expectancy in India and role of age groups: A comparison between before and after male - female life expectancy at birth crossover

To assess the gender gap in life expectancy at birth in India and its major states as well as the timing of male-female life expectancy at birth crossover. To analyze the age-specific contributions to the changing gender differences before and after the crossover at the national and sub-national levels. We have used sample-survey-based age-specific mortality data available for the periods 1970–2018 to construct abridged life tables. The contribution of different age groups to the gender gap is estimated by using Arriaga’s method of decomposition. During 1981–85 female life expectancy at birth caught up with male life expectancy at birth for India and by 2005 all major states completed the crossover. The male-female crossover in life expectancy at the national level in the early 80s is remarkable in the face of continued female disadvantage from birth till adolescence, even for some richer states. We provide evidence that gender difference in longevity in favour of females is largely a function of adult age groups and younger age groups contribute negatively to the gender gap in life expectancy at birth in most states. Juxtaposing the results from contribution in an absolute number of years and their relative contribution change before and after the crossover, it is established that although the adult and old age groups contribute the highest in the absolute number of years before and after the crossover, the contribution of the reproductive age groups and childhood years in the recent time is most relevant in relative terms.

Gender differences in time to first hospital admission at age 60 in Denmark, 1995-2014

Women have consistently lower mortality rates than men at all ages and with respect to most causes. However, gender differences regarding hospital admission rates are more mixed, varying across ages and causes. A number of intuitive metrics have previously been used to explore changes in hospital admissions over time, but have not explicitly quantified the gender gap or estimated the cumulative contribution from cause-specific admission rates. Using register data for the total Danish population between 1995 and 2014, we estimated the time to first hospital admission for Danish men and women aged 60. This is an intuitive population-level metric with the same interpretive and mathematical properties as period life expectancy. Using a decomposition approach, we were able to quantify the cumulative contributions from eight causes of hospital admission to the gender gap in time to first hospital admission. Between 1995 and 2014, time to first admission increased for both, men (7.6 to 9.4 years) and women (8.3 to 10.3 years). However, the magnitude of gender differences in time to first admission remained relatively stable within this time period (0.7 years in 1995, 0.9 years in 2014). After age 60, Danish men had consistently higher rates of admission for cardiovascular conditions and neoplasms, but lower rates of admission for injuries, musculoskeletal disorders, and sex-specific causes. Although admission rates for both genders have generally declined over the last decades, the same major causes of admission accounted for the gender gap. Persistent gender differences in causes of admission are, therefore, important to consider when planning the delivery of health care in times of population ageing.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10433-021-00614-w.

The contributions of public health policies and healthcare quality to gender gap and country differences in life expectancy in the UK

Background

In many high-income countries, life expectancy (LE) has increased, with women outliving men. This gender gap in LE (GGLE) has been explained with biological factors, healthy behaviours, health status, and sociodemographic characteristics, but little attention has been paid to the role of public health policies that include/affect these factors. This study aimed to assess the contributions of avoidable causes of death, as a measure of public health policies and healthcare quality impacts, to the GGLE and its temporal changes in the UK. We also estimated the contributions of avoidable causes of death into the gap in LE between countries in the UK.

Methods

We obtained annual data on underlying causes of death by age and sex from the World Health Organization mortality database for the periods 2001–2003 and 2014–2016. We calculated LE at birth using abridged life tables. We applied Arriaga’s decomposition method to compute the age- and cause-specific contributions into the GGLE in each period and its changes between two periods as well as the cross-country gap in LE in the 2014–2016 period.

Results

Avoidable causes had greater contributions than non-avoidable causes to the GGLE in both periods (62% in 2001–2003 and 54% in 2014–2016) in the UK. Among avoidable causes, ischaemic heart disease (IHD) followed by injuries had the greatest contributions to the GGLE in both periods. On average, the GGLE across the UK narrowed by about 1.0 year between 2001–2003 and 2014–2016 and three avoidable causes of IHD, lung cancer, and injuries accounted for about 0.8 years of this reduction. England & Wales had the greatest LE for both sexes in 2014–2016. Among avoidable causes, injuries in men and lung cancer in women had the largest contributions to the LE advantage in England & Wales compared to Northern Ireland, while drug-related deaths compared to Scotland in both sexes.

Conclusion

With avoidable causes, particularly preventable deaths, substantially contributing to the gender and cross-country gaps in LE, our results suggest the need for behavioural changes by implementing targeted public health programmes, particularly targeting younger men from Scotland and Northern Ireland.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12963-021-00271-2.

Progress of Inequality in Age at Death in India: Role of Adult Mortality

India has seen a reduction in infant and child mortality rates for both the sexes since the early 1980s. However, a decline in mortality at adult ages is marked by significant differences in the subgroups of sex and regions. This study assesses the progress of inequality in age at death with the advances in mortality transition during 36 years period between 1981-1985 and 2012-2016 in India, using the Gini coefficients at the age of zero (G ₀ ). The Gini coefficients show that in the mid-2000s, women outpaced men in G ₀ . The reduction in inequality in age at death is a manifestation of the process of homogeneity in mortality. The low G ₀ is concomitant of high life expectancy at birth (e ₀ ) in India. The results show the dominance of adult mortality over child mortality in the medium-mortality and low-mortality regimes. Varying adult mortality in the subgroups of sex and variance in the mortality levels of regions are the predominant factors for the variation in inequality in age at death. By lowering of the mortality rates in the age group of 15-29 years, India can achieve a high e ₀ that appears at high demographic development and the narrow sex differentials in e ₀ and G ₀ in a short time. Men in the age group of 15-29 years are the most vulnerable subgroup with respect to mortality. There is an immediate need for health policies in India to prioritise the aversion of premature deaths in men aged 15-29 years.

The perspectives of successful ageing among older adults aged 75+: a systematic review with a narrative synthesis of mixed studies

Older adults 75 and above are a fast-growing segment of the population. However, few studies have investigated what it means to age successfully from their perspective. This group of older adults face challenges that might characteristically differ from younger older adults. Therefore, the aim of this study was to conduct a systematic review of the perspectives of older adults aged 75 and above regarding what it means to age successfully and to summarise the findings through a narrative synthesis. We also aimed to provide a snapshot of inhibitors and facilitators to achieve successful ageing. A systematic review of the 75+ older adults’ perspectives was conducted across PubMed, CINAHL, Scopus, Web of Science and PsycINFO. Qualitative, quantitative and mixed-methods original peer-reviewed studies were included. After reviewing 4,661 articles, 15 articles met the inclusion criteria and 15 themes were identified. They ranged from biomedical components such as physical functioning to psychosocial components such as relationships, reflections on life and past experiences, preparations for death and environmental factors. The findings revealed that as people age, their definition of successful ageing changes, expanding the current conceptualisation of successful ageing by including additional factors that can act as facilitators and/or inhibitors, such as death and environmental factors. The findings also highlight the need for further research on theory development by considering age-related differences and the perspectives of under-studied populations.

Death rates at specific life stages mold the sex gap in life expectancy

Why do women live longer than men? Here, we mine rich lodes of demographic data to reveal that lower female mortality at particular ages is decisive-and that the important ages changed around 1950. Earlier, excess mortality among baby boys was crucial; afterward, the gap largely resulted from elevated mortality among men 60+. Young males bear modest responsibility for the sex gap in life expectancy: Depending on the country and time, their mortality accounts for less than a quarter and often less than a 10th of the gap. Understanding the impact on life expectancy of differences between male and female risks of death by age, over time, and across populations yields insights for research on how the lives of men and women differ.

Avoidable deaths in Sweden, 1997-2018: temporal trend and the contribution to the gender gap in life expectancy

Background

Avoidable mortality is considered as a potential indicator of the influences of public health policies and healthcare quality on population health. This study aimed to examine the trend in avoidable mortality and its influence on rising life expectancy (LE) and declining gender gap in LE (GGLE) in Sweden.

Methods

We extracted data on causes of death by age, sex, and year from national registry from 1997 to 2018. The UK Office for National Statistics definition was used to divide causes of death into five mutually exclusive categories: amenable, preventable, amenable & preventable, ischemic heart disease (IHD), and non-avoidable causes. We applied Joinpoint regression to analyse temporal trends in age-standardized mortality rates. The Arriaga method was applied to decompose changes in LE and GGLE by age group and causes of death.

Results

Average annual reductions in avoidable vs. non-avoidable mortality were 2.6% (95% CI:2.5, 2.7) vs. 1.4% (95% CI:1.3, 1.5) in men, and 1.6% (95% CI:1.4, 1.9) vs. 0.9% (95% CI:0.7, 1.0) in women over the study period. LE in men rose by 4.1 years between 1997 and 2018 (from 72.8 to 76.9 years), of which 2.4 years (59.3%) were attributable to reductions in avoidable mortality. Corresponding LE gain was 2.3 years in women (from 78.0 in 1997 to 80.3 in 2018) and avoidable mortality accounted for 1.0 year (45.6%) of this gain. Between 1997 and 2018, the GGLE narrowed by 1.9 years, of which 1.4 years (77.7%) were attributable to avoidable causes. Among avoidable causes, while preventable causes had the largest contribution to the GGLE, IHD had the greatest contributions to LE gains and the narrowing GGLE.

Conclusions

Our findings showed that avoidable causes had a substantial contribution to gain in LE with more profound gain in men than in women, resulting in narrowing the GGLE. Lower pace of reductions in preventable than amenable mortality highlights the need for improving the effectiveness of inter-sectoral health policies aimed at behavioural changes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10567-5.

Caste, religion and regional differentials in life expectancy at birth in India: cross-sectional estimates from recent National Family Health Survey

OBJECTIVE

Though estimates of longevity are available by states, age, sex and place of residence in India, disaggregated estimates by social and economic groups are limited. This study estimates the life expectancy at birth and premature mortality by caste, religion and regions of India.

DESIGN

This study primarily used cross-sectional data from the National Family Health Survey (NFHS-4), 2015-2016 and the Sample Registration System (SRS), 2011-2015. The NFHS-4 is the largest ever demographic and health survey covering 601 509 households and 811 808 individuals across all states and union territories in India.

MEASURES

The abridged life table is constructed to estimate the life expectancy at birth, adult mortality (45q15) and premature mortality (70q0) by caste, religion and region.

RESULTS

Life expectancy at birth was estimated at 63.1 years (95% CI 62.60 -63.64) for scheduled castes (SC), 64.0 years (95% CI 63.25 - 64.88) for scheduled tribes (ST), 65.1 years (95% CI 64.69 - 65.42) for other backward classes (OBC) and 68.0 years (95% CI 67.44 - 68.45) for others. The life expectancy at birth was higher among o Christians 68.1 years (95% CI 66.44 - 69.60) than Muslims 66.0 years (95% CI 65.29 - 66.54) and Hindus 65.0 years (95% CI 64.74 -65.22). Life expectancy at birth was higher among females than among males across social groups in India. Premature mortality was higher among SC (0.382), followed by ST (0.381), OBC (0.344) and others (0.301). The regional variation in life expectancy by age and sex is large.

CONCLUSION

In India, social and religious differentials in life expectancy by sex are modest and need to be investigated among poor and rich within these groups. Premature mortality and adult mortality are also high across social and religious groups.

Non-communicable diseases are key to further narrow gender gap in life expectancy in Shanghai, China

Background

To address change in the gender gap of life expectancy (GGLE) in Shanghai from 1973 to 2018, and to identify the major causes of death and age groups associated with the change over time.

Methods

The temporal trend in GGLE was evaluated using retrospective demographic analysis with Joinpoint regression. Causes of death were coded in accordance with the International Classification of Diseases and mapped with the Global Burden of Disease (GBD) cause list. The life table technique and decomposition method were used to express changes in GGLE.

Results

The trend of GGLE in Shanghai experienced two phases, i.e., a decrease from 8.4 to 4.2 years in the descent phase (1973–1999) and a fluctuation between 4.0 and 4.9 years in the plateau phase (1999–2018). The reduced age-specific mortality rates tended to concentrate to a narrower age range, from age 0–9 and above 30 years in the descent phase to age above 55 years in the plateau phase. Gastroesophageal and liver cancer, communicable, chronic respiratory, and digestive diseases were once the major contributors to narrow GGLE in the descent phase. While, importance should be attached to a widening effect on GGLE by lung cancer, cardiovascular diseases, other neoplasms like colorectal and pancreatic cancer, and diabetes in the recent plateau phase.

Conclusions

Non-communicable diseases (NCDs) have made GGLE enter a plateau phase from a descent phase in Shanghai, China. Public efforts to reduce excess mortalities for male NCDs, cancers, cardiovascular diseases, chronic respiratory diseases, and diabetes in particular and health policies focused on the middle-aged and elderly population might further narrow GGLE. This will also ensure improvements in health and health equity in Shanghai China.

The Mechanism Underlying Change in the Sex Gap in Life Expectancy at Birth: An Extended Decomposition

The relationship between differential mortality rates and differences in life expectancy is well understood, but how changing differential rates translate into changing differences in life expectancy has not been fully explained. To elucidate the mechanism involved, this study extends existing decomposition methods. The extended method decomposes change in the sex gap in life expectancy at birth into three components capturing the effects of the sex difference in mortality improvement (ρ-effect), life table deaths density by age (f-effect), and remaining life expectancy by age (e-effect). These three effects oppose and augment each other, depending on relative change in sex-differential mortality rates. The new method is applied to period data for 35 countries and cohort data for 25 countries. The results demonstrate how the mechanism, involving the three effects, operates to determine change in the sex difference in life expectancy. We observe the pivotal importance of the f-effect, which is predominantly negative because of lower female mortality, in favoring narrowing rather than widening of the sex gap, in shifting the overall effect to younger ages, and in exaggerating fluctuations due to crisis mortality. The new decomposition provides a more detailed basis for substantive analyses examining change in differences in life expectancy.

Population risk and burden of health behavioral-related all-cause, premature, and amenable deaths in Ontario, Canada: Canadian Community Health Survey-linked mortality files

PURPOSE

To examine the association of all-cause and premature mortality with four modifiable lifestyle behaviors and quantify the burden of behavioral-related premature death in Ontario, Canada.

METHODS

We analyzed a cohort of 149,262 adults in the 2000-2010 Canadian Community Health Surveys, linked to vital statistics data to ascertain deaths until December 31, 2015. The strength of the association between behaviors (smoking, body mass index, physical inactivity, and alcohol consumption) and all-cause and premature mortality was estimated using sex-specific Cox proportional hazards models. We estimated the proportion of deaths from causes amenable to the health system by behavior.

RESULTS

After full adjustment, hazard ratios (95% confidence interval) for premature mortality were significantly increased for heavy smokers versus nonsmokers [males: 5.48 (4.55-6.60); females 4.45 (3.49-5.66)]; obese class III versus normal weight [males: 2.47 (1.76-3.48); females: 1.73 (1.29-2.31)]; and physically inactive versus active [males: 1.25 (1.07-1.45); females: 1.70 (1.41-2.04)]. In both sexes, a disproportionate burden of amenable deaths were experienced by heavy smokers, severely obese, physically inactive, and heavy drinkers.

CONCLUSIONS

The findings emphasize the importance of prevention to reduce the prevalence of risk behaviors that contribute to a large burden of premature deaths that are amenable to the health system.

Modeling and forecasting sex differences in mortality: a sex-ratio approach

Female and male life expectancies have converged in most industrialized societies in recent decades. To achieve coherent forecasts between females and males, this convergence needs to be considered when forecasting sex-specific mortality. We introduce a model forecasting a matrix of the age-specific death rates of sex ratio, decomposed into two age profiles and time indices-before and after age 45-using principal component analysis. Our model allows visualization of both age structure and general level over time of sex differences in mortality for these two age groups. Based on a prior forecast for females, we successfully forecast male mortality convergence with female mortality. The usefulness of the developed model is illustrated by its comparison with other coherent and independent models in an out-of-sample forecast evaluation for 18 countries. The results show that the new proposal outperformed the other models for most countries.

Why is the gender gap in life expectancy decreasing? The impact of age- and cause-specific mortality in Sweden 1997-2014

OBJECTIVES

To enhance the understanding of the current increase in life expectancy and decreasing gender gap in life expectancy.

METHODS

We obtained data on underlying cause of death from the National Board of Health and Welfare in Sweden for 1997 and 2014 and used Arriaga's method to decompose life expectancy by age group and 24 causes of death.

RESULTS

Decreased mortality from ischemic heart disease had the largest impact on the increased life expectancy of both men and women and on the decreased gender gap in life expectancy. Increased mortality from Alzheimer's disease negatively influenced overall life expectancy, but because of higher female mortality, it also served to decrease the gender gap in life expectancy. The impact of other causes of death, particularly smoking-related causes, decreased in men but increased in women, also reducing the gap in life expectancy.

CONCLUSIONS

This study shows that a focus on overall changes in life expectancies may hide important differences in age- and cause-specific mortality. It also emphasizes the importance of addressing modifiable lifestyle factors to reduce avoidable mortality.

Women live longer than men even during severe famines and epidemics

Women live longer than men in nearly all populations today. Some research focuses on the biological origins of the female advantage; other research stresses the significance of social factors. We studied male–female survival differences in populations of slaves and populations exposed to severe famines and epidemics. We find that even when mortality was very high, women lived longer on average than men. Most of the female advantage was due to differences in mortality among infants: baby girls were able to survive harsh conditions better than baby boys. These results support the view that the female survival advantage is modulated by a complex interaction of biological environmental and social factors.

Women in almost all modern populations live longer than men. Research to date provides evidence for both biological and social factors influencing this gender gap. Conditions when both men and women experience extremely high levels of mortality risk are unexplored sources of information. We investigate the survival of both sexes in seven populations under extreme conditions from famines, epidemics, and slavery. Women survived better than men: In all populations, they had lower mortality across almost all ages, and, with the exception of one slave population, they lived longer on average than men. Gender differences in infant mortality contributed the most to the gender gap in life expectancy, indicating that newborn girls were able to survive extreme mortality hazards better than newborn boys. Our results confirm the ubiquity of a female survival advantage even when mortality is extraordinarily high. The hypothesis that the survival advantage of women has fundamental biological underpinnings is supported by the fact that under very harsh conditions females survive better than males even at infant ages when behavioral and social differences may be minimal or favor males. Our findings also indicate that the female advantage differs across environments and is modulated by social factors.

[The changing sex differences in life expectancy in Spain (1980-2012): decomposition by age and cause]

OBJECTIVE

To calculate and analyse the contributions of changes in mortality by age groups and selected causes of death to sex differences in life expectancy at birth in Spain from 1980 to 2012.

METHODS

Cross-sectional study with three time points (1980, 1995, and 2012). We used data from Human Cause-of-Death Database and Human Mortality Database. We use a decomposition method of the differences in life expectancy and gender differences in life expectancy from changes in mortality by 5-year age groups and causes of death between women and men.

RESULTS

From 1980 to 1995, the lower mortality of women from 25 years old, and the differences in mortality by HIV/AIDS, lung cancer, and chronic obstructive pulmonary diseases contributed to the gap increase. From 1995 to 2012, greatest improvement in mortality of males under 74 years of age, and in improving male mortality from HIV/AIDS, acute myocardial infarction and traffic accidents contributed to the narrowing.

CONCLUSIONS

The difference in life expectancy at birth between men and women has decreased since 1995 due to a greater improvement in mortality from causes of death associated with risky behaviours and habits of the working age male population.

Life Course Changes in Smoking by Gender and Education: A Cohort Comparison Across France and the United States

Widening of educational disparities and a narrowing female advantage in mortality stem in good part from disparities in smoking. The changes in smoking and mortality disparities across cohorts and countries have been explained by an epidemic model of cigarette use but are also related to life course changes. To better describe and understand changing disparities over the life course, we compare age patterns of smoking in three cohorts and two nations (France and the United States) using smoking history measures from the 2010 French Health Barometer (N = 20,940) and the 2010 U.S. National Health Interview Survey Sample Adult File (N = 20,444). The results demonstrate statistically significant widening of gender and educational differences from adolescence to early and middle adulthood, thus accentuating the disparities already emerging during adolescence. In addition, the widening disparities over the life course have been changing across cohorts: Age differences in educational disparities have grown in recent cohorts (especially in France), while age differences in gender disparities have narrowed. The findings highlight the multiple sources of inequality in smoking and health in high-income nations.

Narrowing mortality gap between men and women over two decades: a registry-based study in Ontario, Canada

BACKGROUND

Historically, women have lower all-cause mortality than men. It is less understood that sex differences have been converging, particularly among certain subgroups and causes. This has implications for public health and health system planning. Our objective was to analyse contemporary sex differences over a 20-year period.

METHODS

We analysed data from a population-based death registry, the Ontario Registrar's General Death file, which includes all deaths recorded in Canada's most populous province, from 1992 to 2012 (N=1 710 080 deaths). We calculated absolute and relative mortality sex differences for all-cause and cause-specific mortality, age-adjusted and age-specific, including the following causes: circulatory, cancers, respiratory and injuries. We used negative-binomial regression of mortality on socioeconomic status with direct age adjustment for the overall population.

RESULTS

In the 20-year period, age-adjusted mortality dropped 39.2% and 29.8%, respectively, among men and women. The age-adjusted male-to-female mortality ratio dropped 41.4%, falling from 1.47 to 1.28. From 2000 onwards, all-cause mortality rates of high-income men were lower than those seen among low-income women. Relative mortality declines were greater among men than women for cancer, respiratory and injury-related deaths. The absolute decline in circulatory deaths was greater among men, although relative deciles were similar to women. The largest absolute mortality gains were seen among men over the age of 85 years.

CONCLUSIONS

The large decline in mortality sex ratios in a Canadian province with universal healthcare over two decades signals an important population shift. These narrowing trends varied according to cause of death and age. In addition, persistent social inequalities in mortality exist and differentially affect men and women. The observed change in sex ratios has implications for healthcare and social systems.

Twentieth century surge of excess adult male mortality

Using historical data from 1,763 birth cohorts from 1800 to 1935 in 13 developed countries, we show that what is now seen as normal-a large excess of female life expectancy in adulthood-is a demographic phenomenon that emerged among people born in the late 1800s. We show that excess adult male mortality is clearly rooted in specific age groups, 50-70, and that the sex asymmetry emerged in cohorts born after 1880 when male:female mortality ratios increased by as much as 50% from a baseline of about 1.1. Heart disease is the main condition associated with increased excess male mortality for those born after 1900. We further show that smoking-attributable deaths account for about 30% of excess male mortality at ages 50-70 for cohorts born in 1900-1935. However, after accounting for smoking, substantial excess male mortality at ages 50-70 remained, particularly from cardiovascular disease. The greater male vulnerability to cardiovascular conditions emerged with the reduction in infectious mortality and changes in health-related behaviors.

Global mortality trends and patterns in older women

OBJECTIVE

To describe mortality patterns in women older than 50 years in light of the growth, seen in almost all countries, in the absolute number of females in this age group and in the proportion of the female population comprising older women.

METHODS

National death record data and World Health Organization estimates of life expectancy and causes of death in women older than 50 years were analysed. Projections of trends in mortality, by cause, at older ages were also made.

FINDINGS

In both developed and developing countries, the leading causes of death among older women were cardiovascular diseases and cancers. In countries with death registration data, cardiovascular and (to a lesser extent) cancer mortality appears to have declined in older women in recent decades and this decline has resulted in improved life expectancy at age 50. If these trends continue, deaths in older women are still expected to increase in number because of population growth and ageing.

CONCLUSION

Noncommunicable diseases, especially cardiovascular diseases and cancers, are expected to cause an increasing share of women's deaths in low- and middle-income countries owing to the ageing of the population and to reductions in child and maternal deaths. Health systems must adjust accordingly, perhaps by drawing on lessons from high-income countries that have succeeded in reducing mortality from noncommunicable diseases.

Joint Probabilistic Projection of Female and Male Life Expectancy

BACKGROUND

The United Nations (UN) produces population projections for all countries every two years. These are used by international organizations, governments, the private sector and researchers for policy planning, for monitoring development goals, as inputs to economic and environmental models, and for social and health research. The UN is considering producing fully probabilistic population projections, for which joint probabilistic projections of future female and male life expectancy at birth are needed.

OBJECTIVE

We propose a methodology for obtaining joint probabilistic projections of female and male life expectancy at birth.

METHODS

We first project female life expectancy using a one-sex method for probabilistic projection of life expectancy. We then project the gap between female and male life expectancy. We propose an autoregressive model for the gap in a future time period for a particular country, which is a function of female life expectancy and a t-distributed random perturbation. This method takes into account mortality data limitations, is comparable across countries, and accounts for shocks. We estimate all parameters based on life expectancy estimates for 1950-2010. The methods are implemented in the bayesLife and bayesPop R packages.

RESULTS

We evaluated our model using out-of-sample projections for the period 1995-2010, and found that our method performed better than several possible alternatives.

CONCLUSIONS

We find that the average gap between female and male life expectancy has been increasing for female life expectancy below 75, and decreasing for female life expectancy above 75. Our projections of the gap are lower than the UN's 2008 projections for most countries and so lead to higher projections of male life expectancy.

Losing ground--Swedish life expectancy in a comparative perspective

BACKGROUND

In the beginning of the 1970s, Sweden was the country where both women and men enjoyed the world's longest life expectancy. While life expectancy continues to be high and increasing, Sweden has been losing ground in relation to other leading countries.

METHODS

We look at life expectancy over the years 1970-2008 for men and women. To assess the relative contributions of age, causes of death, and smoking we decompose differences in life expectancy between Sweden and two leading countries, Japan and France. This study is the first to use this decomposition method to observe how smoking related deaths contribute to life expectancy differences between countries.

RESULTS

Sweden has maintained very low mortality at young and working ages for both men and women compared to France and Japan. However, mortality at ages above 65 has become considerably higher in Sweden than in the other leading countries because the decrease has been faster in those countries. Different trends for circulatory diseases were the largest contributor to this development in both sexes but for women also cancer played a role. Mortality from neoplasms has been considerably low for Swedish men. Smoking attributable mortality plays a modest role for women, whereas it is substantially lower in Swedish men than in French and Japanese men.

CONCLUSIONS

Sweden is losing ground in relation to other leading countries with respect to life expectancy because mortality at high ages improves more slowly than in the leading countries, especially due to trends in cardiovascular disease mortality. Trends in smoking rates may provide a partial explanation for the trends in women; however, it is not possible to isolate one single explanatory factor for why Sweden is losing ground.

Compulsory schooling reforms, education and mortality in twentieth century Europe

Education yields substantial non-monetary benefits, but the size of these gains is still debated. Previous studies report causal effects of education and compulsory schooling on mortality ranging anywhere from zero to large and negative. Using data from 18 compulsory schooling reforms implemented in Europe during the twentieth century, we quantify the average mortality gain and explore its dispersion across gender, time and countries. We find that more education yields small mortality reductions in the short- and long-run for men. In contrast, women seem to experience no mortality reductions from compulsory schooling reforms.

Have regional inequalities in life expectancy widened within the European Union between 1991 and 2008?

BACKGROUND

Health inequalities have widened within and between many European countries over recent decades, but Europe-wide sub-national trends have been largely overlooked. For regions across the European Union (EU), we assess how geographical inequalities (i.e., between regions) and sociospatial inequalities (i.e., between regions grouped by an area-level measure of average household income) in male and female life expectancy have changed between 1991 and 2008.

METHODS

Household income, life expectancy at birth and population count data were obtained for 129 regions (level 2 Nomenclature of Statistical Territorial Units, 'NUTS') in 13 European countries with 1991-2008 data (2008 population = 272 million). We assessed temporal changes in the range of life expectancies, for all regions and for Western and Eastern European regions separately.

RESULTS

Between 1991 and 2008, the geographical range of life expectancies found among European regions remained relatively constant, with the exception of life expectancy among male Eastern Europeans, for whom the range widened by 2.8 years. Sociospatial inequalities in life expectancy (1999-2008 data only) remained constant for all regions combined and for Western Europe, but more than doubled in size for male Eastern Europeans. For female Eastern Europeans, life expectancy was unrelated to regional household income.

CONCLUSIONS

Regional life-expectancy inequalities in the EU have not narrowed over 2 decades, despite efforts to reduce them. Household income differences across European regions may partly explain these inequalities. As inequalities transcend national borders, reduction efforts may require EU-wide coordination in addition to national efforts.

The rise and fall of women's advantage: a comparison of national trends in life expectancy at age 65 years

The female advantage in life expectancy (LE) is found worldwide, despite differences in living conditions, the status of women and other factors. However, this advantage has decreased in recent years in low-mortality countries. Few researchers have looked at the gender gap in LE in old age (age 65) in a longer historical perspective. Have women always had an advantage in LE at old age and do different countries share the same trends? Life expectancy data for 17 countries were assessed from Human Mortality Database from 1751 to 2007. Since most of the changes in LE taking place today are driven by reductions of old age mortality the gender difference in LE was calculated at age 65. Most low-mortality countries show the same historical trend, a rise and fall of women’s advantage in LE at age 65. Three phases that all but two countries passed through were discerned. After a long phase with a female advantage in LE at 65 of <1 year, the gender gap increased significantly during the twentieth century. The increase occurred in all countries but at different time points. Some countries such as England and France had an early rise in female advantage (1900–1919), while it occurred 50 years later in Sweden, Norway and in the Netherlands. The rise was followed by a more simultaneous fall in female advantage in the studied countries towards the end of the century, with exceptions of Japan and Spain. The different timing regarding the increase of women’s advantage indicates that country-specific factors may have driven the rise in female advantage, while factors shared by all countries may underlie the simultaneous fall. More comprehensive, multi-disciplinary study of the evolution of the gender gap in old age could provide new hypotheses concerning the determinants of gendered differences in mortality.

Trends of gender gaps in life expectancy in Japan, 1947-2010: associations with gender mortality ratio and a social development index

AIM

This study analyzed the trend of gender gaps in life expectancy (GGLE) in Japan between 1947 and 2010, and explored the correlations of GGLE with gender mortality ratio and social development indices.

METHODS

Using GGLE and social indices data collected from the official websites, we carried out trends analysis of GGLE by calculating segmented average growth rates for different periods. We explored the association between GGLE and all-cause mortality; and between GGLE and Human Development Index (HDI) while controlling for time trend, by computing the generalized additive models based on the software R (version 2.15).

RESULTS

Japan's GGLE increased in a fluctuating fashion. Across 53 years, the average growth rates varied widely: 0.14% (1947-1956), 1.43% (1956-1974), 1.06% (1974-2004) and -0.60% (2004-2010) (overall average 0.87%). The value of GGLE peaked to 7.00 years in 2004, and then has slowly declined (6.75 years in 2010). Age-adjusted all-cause gender mortality ratio had a statistically positive association with GGLE (P<0.01), whereas HDI was found to have no such association.

CONCLUSION

The increased trend of GGLE in Japan could be partly explained by increased disease-specific mortality ratios (male/female), especially those involving chronic bronchitis and emphysema, diseases of the liver, suicide and cancer. The recent decline of GGLE might imply that Japanese women have been catching up with the lifestyle of men, resulting in similar mortality patterns. This calls for gender-sensitive approaches to developing policies and programs that will help sustain healthy lifestyles to combat smoking and alcohol intake, and social support to prevent suicide.

Sex and life expectancy

BACKGROUND

A sexual dimorphism in human life expectancy has existed in almost every country for as long as records have been kept. Although human life expectancy has increased each year, females still live longer, on average, than males. Undoubtedly, the reasons for the sex gap in life expectancy are multifaceted, and it has been discussed from both sociological and biological perspectives. However, even if biological factors make up only a small percentage of the determinants of the sex difference in this phenomenon, parity in average life expectancy should not be anticipated.

OBJECTIVE

The aim of this review is to highlight biological mechanisms that may underlie the sexual dimorphism in life expectancy.

METHODS

Using PubMed, ISI Web of Knowledge, and Google Scholar, as well as cited and citing reference histories of articles through August 2012, English-language articles were identified, read, and synthesized into categories that could account for biological sex differences in human life expectancy.

RESULTS

The examination of biological mechanisms accounting for the female-based advantage in human life expectancy has been an active area of inquiry; however, it is still difficult to prove the relative importance of any 1 factor. Nonetheless, biological differences between the sexes do exist and include differences in genetic and physiological factors such as progressive skewing of X chromosome inactivation, telomere attrition, mitochondrial inheritance, hormonal and cellular responses to stress, immune function, and metabolic substrate handling among others. These factors may account for at least a part of the female advantage in human life expectancy.

CONCLUSIONS

Despite noted gaps in sex equality, higher body fat percentages and lower physical activity levels globally at all ages, a sex-based gap in life expectancy exists in nearly every country for which data exist. There are several biological mechanisms that may contribute to explaining why females live longer than men on average, but the complexity of the human life experience makes research examining the contribution of any single factor for the female advantage difficult. However, this information may still prove important to the development of strategies for healthy aging in both sexes.

Is gender policy related to the gender gap in external cause and circulatory disease mortality? A mixed effects model of 22 OECD countries 1973-2008

Background

Gender differences in mortality vary widely between countries and over time, but few studies have examined predictors of these variations, apart from smoking. The aim of this study is to investigate the link between gender policy and the gender gap in cause-specific mortality, adjusted for economic factors and health behaviours.

Methods

22 OECD countries were followed 1973–2008 and the outcomes were gender gaps in external cause and circulatory disease mortality. A previously found country cluster solution was used, which includes indicators on taxes, parental leave, pensions, social insurances and social services in kind. Male breadwinner countries were made reference group and compared to earner-carer, compensatory breadwinner, and universal citizen countries. Specific policies were also analysed. Mixed effect models were used, where years were the level 1-units, and countries were the level 2-units.

Results

Both the earner-carer cluster (ns after adjustment for GDP) and policies characteristic of that cluster are associated with smaller gender differences in external causes, particularly due to an association with increased female mortality. Cluster differences in the gender gap in circulatory disease mortality are the result of a larger relative decrease of male mortality in the compensatory breadwinner cluster and the earner-carer cluster. Policies characteristic of those clusters were however generally related to increased mortality.

Conclusion

Results for external cause mortality are in concordance with the hypothesis that women become more exposed to risks of accident and violence when they are economically more active. For circulatory disease mortality, results differ depending on approach – cluster or indicator. Whether cluster differences not explained by specific policies reflect other welfare policies or unrelated societal trends is an open question. Recommendations for further studies are made.

The changing gender differences in life expectancy in Korea 1970-2005

Women live much longer than men in Korea, with remarkable gains in life expectancy at birth for the past decades. The gender differential has steadily increased over time, reaching a peak of more than 8 years in 1980s, and decreased thereafter to 6.7 years in 2005. Studies to investigate the pattern and contributing factors to changes in the life expectancy gender gap have been mostly from Western countries, and there has been no such study in Asian countries, except in Japan. We therefore aimed to examine age- and cause-specific contributions to the changing gender differentials in life expectancy in Korea, in particular the decline of the gap, using a decomposition method. Between 1970 and 1979 when the gender gap in life expectancy widened, faster mortality decline among women in ages 20-44 explained 66% of the total increase in the gender gap, which would be due to substantial improvements in reproductive health among women and excess male mortality in occupational injuries and transport accidents. Although greater survival advantage among elderly women over 70 contributed to further increase in the gender gap, the contributions from younger ages with the ages 15-64 contributing the most (-2 years) resulted in the overall reduction of the gender gap which began in 1992 and continued to 2005. Among causes of death, liver diseases (-0.5 years, 38% of the total decline), transport accidents (-0.4 years, 31%), hypertensive diseases (-0.3 years, 19%), stroke (-0.1 years, 11%), and tuberculosis (-0.1 years) contributed the most to the overall 1.4 years reduction in the gender gap. However, changes in mortality from lung cancer (+0.3 years), suicide (+0.3 years), chronic lower respiratory diseases (+0.2 years), and ischemic heart diseases (+0.1 years) contributed to widening the gap during the same period. In sum, while smoking-related causes of death have contributed most to the narrowing gap in most other industrialized countries, these causes contributed toward increasing the gender gap in Korea. Instead, liver disease, hypertension-related diseases, and transport accidents were major contributing causes of death to the narrowing of gender differentials in life expectancy in Korea.