Inequalities In Life Expectancy Research Articles

Quantifying work-related social inequalities in life expectancy: a methodological proof-of-concept.

Employment and working conditions are strong social determinants of health, yet many epidemiological studies fail to account for their impact on life expectancy calculations. Integration of working conditions into health estimates requires both valid methodology and data sources. Using the French National Health and Career Path survey and French life tables, we quantified the impact of four major work-related factors (lack of job control, job insecurity, unemployment, and occupational physical activity) in explaining socio-occupational inequalities in life expectancy. Using a formula-based approach, we computed work-related loss in life expectancy by socio-occupational group separately by sex. Based on life expectancy at age 35, we estimated a range from 1.3 to 3.3 years of life lost for men, and from 0.5 to 1.8 years for women are attributed to a combination of these four key factors. Although subject to sources of under- and over-estimation, the differential life expectancy at age 35 between senior executives and manual workers would substantially decrease, had these exposures been set at the theoretical minimum level. This proof-of-concept analysis demonstrates the utility of accounting for occupational factors and the potential to quantify the improvements in life expectancy by modifying working and employment conditions.

Ranking Age-at-Death Distributions Using Dominance: Robust Evaluation of United States Mortality Trends, 2006-2021.

Diverging mortality trends at different ages motivate the monitoring of lifespan inequality alongside life expectancy. Conclusions are ambiguous when life expectancy and lifespan inequality move in the same direction or when inequality measures display inconsistent trends. We propose using nonparametric dominance analysis to obtain a robust ranking of age-at-death distributions. Application to U.S. period life tables for 2006-2021 reveals that, until 2014, more recent years generally dominate earlier years, implying improvement if longer lifespans that are less unequally distributed are considered better. Improvements were more pronounced for non-Hispanic Black and Hispanic individuals than for non-Hispanic White individuals. Since 2014, for all subpopulations-particularly Hispanics-earlier years often dominate more recent years, indicating worsening age-at-death distributions if shorter and more unequal lifespans are considered worse. Dramatic deterioration of the distributions in 2020-2021 during the COVID-19 pandemic is most evident for Hispanic individuals.

Educational Inequalities in Dual-Function Life Expectancy.

This study investigates educational inequalities in dual functionality, a new concept that captures a combination of physical and cognitive functioning, both of which are important for independent living and quality of life. Using data from the Health and Retirement Study and the National Health Interview Study Linked Mortality Files, we define a measure of dual functionality based on the absence of limitations in activities of daily living and dementia. We estimate age-graded dual-function rates among adults 65+ and age-65 dual-function life expectancy across levels of education stratified by gender. In their mid 60s, 67 percent of women with less than a high school degree manifest dual functionality as compared with over 90 percent of women with at least a four-year college degree. A similar pattern holds among men. These education-based gaps in dual functionality remain across later life, even as dual-function rates decline at older ages. Lower dual-function rates among older adults with less education translate into inequalities of 6.7 and 7.3 years in age-65 dual-function life expectancy between men and women respectively with at least a four-year college degree compared to their counterparts with less than a high school degree. Older adults, particularly women, with less than a high school degree are estimated to live a smaller percentage of their remaining years with dual functionality compared with older adults with at least a college degree. These inequalities have implications for the distribution of caregiving resources of individuals, family members, and the broader health care community.

Increasing inequalities in longevity among Italian workers

Abstract This article examines the evolution of inequalities in life expectancy at 65 and all-cause mortality by socio-economic position (SEP) among Italian workers. Period life tables and negative binomial regression models are used to estimate longevity inequalities. The empirical assessment is carried out on two administrative datasets, one covering the entire population of private sector workers for the years 1990–2019 and the other covering the entire workforce in Turin for the years 1981–2019. We find that social inequalities in life expectancy and all-cause mortality have increased among Italian workers in recent decades. Several robustness checks confirm this worrying trend, especially for men. Longevity has improved for workers in the middle and high SEPs, while it has hardly changed for workers in the lowest SEP. We show that the estimated life expectancy differentials translate into a loss of pension wealth for the most disadvantaged categories, which also increases over time.

Widening Disparities in COVID-19 Mortality and Life Expectancy Among 15 Major Racial and Ethnic Groups in the United States, 2020-2021.

Persistent and often widening racial/ethnic and socioeconomic inequalities in health have long existed in the US. Although racial/ethnic disparities in COVID-19 mortality are well documented, COVID-19 mortality risks and resultant reductions in life expectancy during the pandemic for detailed racial and ethnic groups in the US, including Asian and Hispanic subgroups, are not known. We used 2020-2021 US mortality data to estimate age-adjusted COVID-19 mortality rates, life expectancy, and the consequent declines in life expectancy due to COVID-19 overall and for the 15 largest racial/ethnic groups. We used standard life table methodology, cause-elimination life tables, and inequality indices to analyze trends in racial/ethnic disparities. The number of COVID-19 deaths increased from 350,827 in 2020 to 416,890 in 2021. COVID-19 death rates varied 7-fold among the racial/ethnic groups; Japanese and Chinese had the lowest mortality rates and Mexicans and American Indians/Alaska Natives (AIANs) had the highest rates. In 2021, life expectancy ranged from 70.3 years for Blacks and 70.6 years for AIANs to 85.2 years for Japanese and 87.7 years for Chinese. The life-expectancy gap was wide- 22.4 years in 2020 and 23.2 years in 2021. COVID-19 mortality had the greatest impact in reducing the life expectancy of Mexicans (3.53 years in 2020 and 3.78 years in 2021), Central/South Americans (4.86 years in 2020 and 3.50 years in 2021), and AIANs (2.51 years in 2020 and 2.38 years in 2021). Racial/ethnic inequalities in COVID-19 mortality, life expectancy, and resultant reductions in life expectancy during the pandemic widened between 2020 and 2021.

Inequalities in regional excess mortality and life expectancy during the COVID-19 pandemic in Europe

Using data for 201 regions (NUTS 2) in Europe, we examine the mortality burden of the COVID-19 pandemic and how the mortality inequalities between regions changed between 2020 and 2022. We show that over the three years of the pandemic, not only did the level of excess mortality rate change considerably, but also its geographical distribution. Focusing on life expectancy as a summary measure of mortality conditions, we find that the variance of regional life expectancy increased sharply in 2021 but returned to the pre-pandemic level in 2022. The 2021 increase was due to a much higher-than-average excess mortality in regions with lower pre-pandemic life expectancy. While the life expectancy inequality has returned to its pre-pandemic level in 2022, the observed life expectancy in almost all regions is far below that expected without the pandemic.

On the measurement of cause of death inequality.

Attempts at assessing heterogeneity in countries' mortality profiles often rely on measures of cause of death (CoD) diversity. Unfortunately, such indicators fail to take into consideration the degree of (dis)similarity among pairs of causes (e.g. 'transport injuries' and 'unintentional injuries' are implicitly assumed to be as dissimilar as 'transport injuries' and 'Alzheimer's disease')－an unrealistic and unduly restrictive assumption. We extend diversity indicators proposing a broader class of heterogeneity measures that are sensitive to the similarity between the causes of death one works with. The so-called 'CoD inequality' measures are defined as the average expected 'dissimilarity between any two causes of death'. A strength of the approach is that such measures are decomposable, so that users can assess the contribution of each cause to overall CoD heterogeneity levels-a useful property for the evaluation of public health policies. We have applied the method to 15 low-mortality countries between 1990 and 2019, using data from the Global Burden of Disease project. CoD inequality and CoD diversity generally increase over time across countries and sex, but with some exceptions. In several cases (notably, Finland), both indicators run in opposite directions. CoD inequality and diversity indicators capture complementary information about the heterogeneity of mortality profiles, so they should be analysed alongside other population health metrics, such as life expectancy and lifespan inequality.

Inequalities in life expectancy and cardiometabolic disease mortality across and within high-income countries

Cardiometabolic disease is a leading cause of death and plays a key role in recent life expectancy trends worldwide. We highlight inequalities in cardiometabolic disease mortality across sex, race/ethnicity, geographic region, and urbanicity within the United States, as well as across high-income countries.

Contribution of causes of death to changing inequalities in life expectancy by income in Finland, 1997–2020

BackgroundSocioeconomic inequalities in mortality originate from different causes of death. Alcohol-related and smoking-related deaths are major drivers of mortality inequalities across Europe. In Finland, the turn from widening to narrowing...

Socioeconomic Inequality in Life Expectancy: Perception and Policy Demand

Socioeconomic Inequality in Life Expectancy: Perception and Policy Demand

Trends in socioeconomic inequalities in life expectancy and lifespan variation in Chile.

Socioeconomic disparities in life expectancy are well-documented in various contexts, including Chile. However, there is a lack of research examining trends in life expectancy inequalities and lifespan variation over time. Addressing these gaps can provide crucial insights into the dynamics of health inequalities. This study utilizes data from census records, population surveys, and death certificates to compare the life expectancy and the lifespan variation at age 26 of individuals according to their rank in the distribution of years of education within their own birth cohort. The analysis spans three periods (1991, 2002, and 2017) and focuses on two educational groups: individuals in the first (lowest) quintile and tenth (highest) decile of educational attainment. Changes in life expectancy are disaggregated by major causes of death to elucidate their contributions to overall trends. Consistent with existing literature, our findings confirm that individuals with lower education levels experience lower life expectancy and higher lifespan variation compared to their more educated counterparts. Notably, by 2017, life expectancy for individuals in the lowest quintile of education has caught up with that of the top decile in 1991, albeit with contrasting trends between genders. Among women, the gap has reduced, while it has increased for males. Moreover, lifespan variation decreased (increased) over time for individuals in the tenth decile (first quintile). The leading causes of death that explain the increase in life expectancy in women and men in the tenth decile as well as women in the first quintile are cardiovascular, cancer, respiratory and digestive diseases. In the case of males in the first quintile, few gains have been made in life expectancy resulting from cancer and a negative contribution is associated with digestive conditions. This study underscores persistent socioeconomic disparities in life expectancy in Chile, emphasizing the importance of ongoing monitoring of health inequalities across different demographic segments. The gender-specific and educational gradient trends highlight areas for targeted interventions aimed at reducing health disparities and improving overall population health outcomes. Further research is warranted to delve into specific causes of death driving life expectancy differentials and to inform evidence-based policy interventions.

Socioeconomic Inequality in Life Expectancy: Perception and Policy Demand

Socioeconomic Inequality in Life Expectancy: Perception and Policy Demand

Life expectancy inequalities between regions of China 2004-2020: contribution of age- and cause-specific mortality.

China's rapid economic and social development since the early 2000s has caused significant shifts in its epidemiological transition, potentially leading to health disparities across regions. This study employs Life Expectancy (LE) to assess health disparities and trends among China's eastern, central, and western regions. It also examines the pace of LE gains relative to empirical trends and investigates age and causes of death mortality improvement contributing to regional LE gaps. Using a log-quadratic model, the study estimates LE in China and its regions from 2004 to 2020, using census and death cause surveillance data. It also utilizes the Human Mortality Database (HMD) and the LE gains by LE level approach to analyze China and its regions' LE gains in comparison to empirical trend of developed countries. The study investigates changes in LE gaps due to age and causes of death mortality improvements during two periods, 2004-2012 and 2012-2020, through the LE factor decomposition method. From 2000 to 2020, China's LE exhibited faster pace of gains compared to developed countries. While men's LE growth gradually aligns with empirical trends, women experience slightly higher growth rates. Regional LE disparities significantly reduced from 2004 to 2012, with a marginal reduction from 2012 to 2020. In the latter period, the changing LE gap aligns with expected trends in developed countries, with all Chinese regions surpassing empirical estimates. Cardiovascular diseases and malignant neoplasms emerged as the primary contributors to expanding regional LE gaps, with neurological disorders and diabetes playing an increasingly negative role. LE disparities in China have consistently decreased, although at a slower pace in recent years, mirroring empirical trends. To further reduce regional LE disparities, targeted efforts should focus on improving mortality rates related to cardiovascular diseases, neoplasms, neurological disorders and diabetes, especially in the western region. Effective health interventions should prioritize equalizing basic public health services nationwide.

Perceived health inequalities: are the UK and US public aware of occupation-related health inequality, and do they wish to see it reduced?

BackgroundOne underexamined factor in the study of lay views of socioeconomic health inequalities is occupation-related health. Examining health by occupational social class has a long history in the UK but has been comparatively overlooked in US public health literatures, where the relationship between health and work has attended more to hazard exposure.MethodsRepresentative samples of the UK and US indicated the perceived and ideal lifespan of people working in “higher managerial/professional” and “routine” occupations. We examine perceptions of inequality and desires for equality across occupation groups as a function of country and key socio-demographic variables.Results67.8% of UK and 53.7% of US participants identified that professionals live longer than routine workers. Multivariate models indicated that US participants were markedly less likely to be aware of occupation-related inequalities after controlling for age, gender, and education. Awareness was negatively related to age (in the US) and recent voting behaviours (both samples). Desiring equal life expectancy was less likely in the US sample, and less likely across both samples among older participants and those with lower levels of education.ConclusionEmploying a novel approach to measuring perceived and ideal life expectancy inequality, this is the first study to examine perceptions of lifespan inequality by occupational groups. It reports widespread understanding of the occupation-related gradient in lifespan and a desire that these inequalities be eliminated in the UK, but considerably less awareness and desire for equality in the US. Greater tolerance for social status inequalities in the US than other similar countries appear to also extend to differences in life expectancy.

The English health inequalities strategy: A time-trend study of mortality rate disparities at 65

Abstract Background Rapid population ageing is common in many Global North countries, with the UK being a prime example (with 18.6% aged 65 and over in 2021). Despite this, life expectancy in the UK began to stall around 2011, and the gap between the least and most deprived has been widening. To address these inequalities, a ‘levelling up’ programme was announced by the current Conservative government. Previously, a national health inequalities strategy was implemented (2000 to 2010) by the then Labour government, with many of the interventions targeting older age groups. To provide evidence on the effects of national health inequalities strategies on life expectancy later in life, we assessed the impact of the English health inequalities strategy on inequalities in mortality rate at age 65 by area deprivation. Methods Using ecological mortality and population data for Middle Super Output and Local Authority areas, we calculated life expectancy for individuals aged 65 and over in England from 1991 to 2016. We applied time-trend analyses methods with marginal spline terms to evaluate how mortality rate trends at age 65 changed before, during and after the strategy period. We also conducted a series of robustness analyses to considering varying cut points, deprivation levels and geographical scales. Results Prior to the programme (1991-1998), there was no change in the absolute difference in mortality rate between the 20% most deprived areas and the rest. During the programme, inequalities decreased at a rate of -0.0000936 (95% CI -0.0001281to -0.0000592) each year. However, after the strategy period (2011-2016) inequalities widened at an annual rate of 0.000078 (95% CI 0.0000166 to 0.0001395). Conclusions This study provides evidence of an association between the national health inequalities strategy and a narrowing of inequalities in mortality rate at age 65. Future strategies to address inequalities in ageing populations may benefit from adopting a similar approach. Key messages • The national health inequalities strategy (2000 to 2010) was associated with a narrowing of inequalities in mortality rate at age 65. • Future national strategies which aim to reduce inequalities in life expectancy in older age groups may benefit from adopting a similar approach.

Changing inequalities in life-expectancy by income in Finland 1997-2020

Abstract Background Previous studies show that in recent decades the changes in mortality disparities between income groups in Finland have been driven by alcohol- and smoking-related causes of death. The gap between the extreme income quintiles narrowed in 2008-14 particularly due to the declining alcohol-related mortality. We analysed the most recent changes in mortality disparities and the causes of deaths behind them. Methods We used register based individual level total population data for ages 30-95+ and yearly follow-up for mortality in 1996-2020 including information on disposable household income quintile in the previous year. Preston method was used for assessing the impact of smoking on mortality. We calculated trends in life expectancy (LE) at age 30 for three-year periods in 1997-2020 and then conducted an Arriaga cause of death decomposition of the gap between highest and lowest quintiles and changes in LE for each quintile from 2015-17 to 2018-20. Results We observed an increasing gap in LE by income due to stagnating LE in the lowest income quintile from 2015 onward among both men and women. Among men the stagnation was observed even after eliminating smoking- and alcohol-related mortality and among women the LE slightly increased after accounting for smoking and alcohol but the gap to the highest quintile increased clearly. Decomposing the change in LE from 2015-17 to 2018-2020 by causes of death showed no specific causes of death behind the stagnation and the widening gap. Among both men and women mortality due to circulatory diseases showed a substantial decline in the lowest quintile whereas in all other causes mortality increased or declined only slightly. Conclusions Inequalities in LE by income are widening again in Finland due to stagnation in the lowest income quintile. Contrary to the prior decades the increasing disparities are not attributable to smoking and alcohol-related deaths but occur in the majority of causes of death. Key messages • After nearly a decade of narrowing mortality inequalities we observed an increasing gap in life expectancy by income mainly due to stagnation in the lowest income quintile. • Contrary to the prior decades the increasing disparities and stagnation of the lowest income quintile are not explained by smoking and alcohol-related deaths but occur in majority of causes of death.

The Race between Mortality and Morbidity: Implications for the Global Distribution of Health

AbstractAssessments of countries’ longevity and its variability around the globe often rely on life expectancy (LE) but tend not to differentiate between the years spent in “good” or “less‐than‐good” health. We explore how the evolution of the healthy and unhealthy components of LE has shaped the composition of LE within countries, and the extent of LE inequality between countries. Using data from the Global Burden of Disease Study, we document the joint evolution of “health‐adjusted life expectancy” (HALE) and “unhealthy life expectancy” (UHLE) for 204 countries and territories from 1990 to 2019, the age‐specific contributions to changes over time in HALE and UHLE, and the corresponding cause‐of‐death profiles. We also assess the contribution of HALE and UHLE to “international health inequality” (IHI; i.e., inequality in LE across world countries). Between 1990 and 2019, HALE and UHLE have increased in most world countries, thus lengthening longevity worldwide. Globally, HALE has increased from 58.1 years to 63.4 years, while UHLE has increased from 8.4 years to 9.4 years, but there is a great deal of variation across regions and countries. The fraction HALE/LE has declined in three out of four countries. Over time, IHI followed an inverted U shape, peaking around the year 2000 and declining from that year onwards. IHI levels and trends are mostly explained by trends in HALE. Our findings indicate that global health inequalities are undergoing profound transformations. While health inequalities between countries tend to decline, those within countries tend to increase. In addition, we observe a compositional shift in which the unhealthy component of LE is playing an increasingly important role in explaining (1) further increases in longevity among low‐mortality countries and (2) the extent of inequality in LE among world countries. Policies aiming at increasing LE and reducing its variability between countries should increase HALE among the world's least longevous countries.

Secular trends of life expectancy and disability-free life expectancy at age 65 and associated gender and area-level socioeconomic inequalities in Hong Kong: a serial cross-sectional study between 2007 and 2020

Despite Hong Kong's world leading longevity, little is known about its associated disability burden and social patterning. Hence, this study assessed the gender-specific secular trends and area-level inequalities in life expectancy (LE) and disability-free life expectancy (DFLE) at age 65 in Hong Kong. Population structure, death records, and disability data in 2007, 2013, and 2020 were retrieved from the Census and Statistics Department to estimate LE and DFLE using the Sullivan Method. District-based sociodemographic indicators were used to compare LE and DFLE across 18 districts of Hong Kong in2013. Between 2007 and 2020, LE at age 65 increased by 3.7 years (from 18.3 to 22.0) in men and by 2.1 years (from 22.7 to 24.8) in women. By contrast, DFLE increased more slowly, by 1.8 years (from 14.6 to 16.3) in men and by only 0.1 year (from 16.4 to 16.5) in women, leading to a substantial increase in proportion of life spent with disability. Results from multiple linear regression using district-based data in 2013 showed a similar extent of associations of education with LE and DFLE (mean year difference: 0.81 [95% CI: 0.14, 1.48] and 0.68 [0.10, 1.27], respectively, per 10% increase in average education level), while female gender was more strongly associated with LE (4.44 [3.56, 5.31]) than with DFLE (2.00 [1.18, 2.82]). Expansion of disability burden and male-female health-survival paradox hold true in Hong Kong. Unlike Western countries with a stronger socioeconomic patterning of DFLE, the extent of area-level socioeconomic inequalities in LE and DFLE appears to be more comparable in Hong Kong. Health and Medical Research Fund (Ref.no.: 19202031) by the Health Bureau of Hong Kong.

A growing divide: Trends in social inequalities in healthy longevity in Australia, 2001–20

This study examines two decades of change in social inequalities in life and health expectancy among older adults in Australia, one of the few countries that escaped an economic recession during the global financial crisis. We compare adults aged 45+ across three measures of individual socio-economic position—education, occupation, and household wealth—and use multistate life tables to estimate total life expectancy (TLE) and life expectancy free of limiting long-term illness (LLTI-free LE) based on 20 waves of the Household, Income and Labour Dynamics in Australia Survey (2001–20). Our findings highlight substantial social disparities in both TLE and LLTI-free LE in Australia. Grouping individuals by household wealth shows striking differentials in LLTI-free LE. We observe widening social disparities in healthy longevity over time by all three measures of socio-economic position. This diverging trend in healthy longevity is troubling against the backdrop of widening income and wealth inequalities in Australia.

Impact of the association between education and obesity on diabetes-free life expectancy.

The purpose of the study was to quantify the association between body weight and health by estimating the expected lifetime with and without diabetes (diabetes-free life expectancy) at age 30 and 65. In addition, the diabetes-free life expectancy was stratified by educational level. Life tables by sex, level of education and obese/not obese were constructed using nationwide register data and self-reported data on body weight and height and diabetes from the Danish National Health Survey in 2021. Diabetes-free life expectancies were estimated by Sullivan's method. The difference in life expectancy between not obese 30-year-old men with a long and a short education was 5.7 years. For not obese women, the difference was 4.1 years. For obese men and women, the difference in life expectancy at age 30 was 7.0 and 5.2 years. Women could expect more years without and fewer years with diabetes than men regardless of body weight and educational level. Diabetes-free life expectancy differed by 6.9 years between not obese 30-year-old men with a short and a long education and by 7.7 years for obese men with a short and a long education. For women, the differences were 5.9 and 6.6 years. The results demonstrate an association of obesity and educational level with life expectancy and diabetes-free life expectancy. There is a need for preventive efforts to reduce educational inequality in life expectancy and diabetes-free life expectancy. Structural intervention will particularly benefit overweight people with short education.