Inequalities In Disability-free Life Expectancy Research Articles

Association between education and disability-free life expectancy among Japanese older people: The Ohsaki Cohort 2006 study

BackgroundHigher education level is associated with longer disability-free life expectancy (DFLE). However, evidence is scarce regarding factors that can contribute to eliminating inequality in DFLE according to education level. This study aimed to clarify the association between education and DFLE and estimate whether DFLE in people with lower education may increase to the same level as that in people with higher education through social participation. MethodsWe analyzed data from 13,849 Japanese people aged 65 years and older who participated in a 13-year prospective study. At baseline, we collected information on education levels (low, middle, or high) and social participation. DFLE was defined as the average duration people expect to live without disability. To calculate DFLE for each education level group, the multistate life table method was employed using a Markov model. ResultsAt the age of 65 years, DFLE (95 % confidence interval [CI]) in women with low education was 21.3 years (20.8–21.8) without social participation and 24.3 (23.8–24.9) with social participation. In the middle education group, DFLE was 22.1 (21.6–22.6) without social participation and 25.0 (24.6–25.5) with social participation. In the high education group, DFLE was 22.1 (21.5–22.8) without social participation and 25.5 (25.0–26.0) with social participation. Similar results were found for men. ConclusionsDFLE in people with low or middle education with social participation was almost the same as that in those with high education with social participation, suggesting the possibility that disparities in DFLE by education level could be offset by promoting social participation in older adults.

Educational disparities in disability-free life expectancy across Europe: A focus on the East-West gaps from a gender perspective

Education plays a crucial role in shaping the health outcomes of adults. This study examines the relationship between educational attainment and health across Europe. Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we estimate educational inequalities in disability-free life expectancy (DFLE) by gender in seven Western European (2004–2019) and three Central and Eastern European (CEE) (2010–2019) countries. We exploit a novel approach that combines the Sullivan method and multivariate life tables to calculate DFLE using SHARE data. We find that educational differences in DFLE favoring the better-educated exist in both CEE and Western European countries, but also that the differences across countries are more pronounced among the low-educated. While the absolute gaps in DFLE between low- and high-educated individuals in CEE and Western European countries are similar, the educational disparities in DFLE impose a more significant burden on the CEE populations due to their overall lower life expectancy. Educational inequalities are larger among women than among men in CEE countries, while the results for Western European countries are mixed. Our findings further highlight the important role of the institutional context in mitigating or exacerbating educational inequalities in health.

Health interventions and the unseen impact on equality

Health interventions and the unseen impact on equality

Gender and educational inequalities in disability-free life expectancy among older adults living in Italian regions

Italy’s life expectancy at age 65 is one of the highest in Europe, but its disability-free life expectancy (DFLE) is not so high. To understand this diverging pattern of longevity and health it is essential to consider indicators accounting for both mortal

(Un-) healthy ageing: Geographic inequalities in disability-free life expectancy in England and Wales.

Health expectancies are an indicator of healthy ageing that reflect quantity and quality of life. Using limiting long term illness and mortality prevalence, we calculate disability-free life expectancy for small areas in England and Wales between 1991 and 2011 for males and females aged 50-74, the life stage when people may be changing their occupation from main career to retirement or alternative work activities. We find that inequalities in disability-free life expectancy are deeply entrenched, including former coalfield and ex-industrial areas and that areas of persistent (dis-) advantage, worsening or improving deprivation have health change in line with deprivation change. A mixed health picture for rural and coastal areas requires further investigation as do the demographic processes which underpin these area level health differences.

Increasing inequalities in disability-free life expectancy among older adults in Sweden 2002-2014.

In an aging society with increasing old age life expectancy, it has become increasingly important to monitor the health development in the population. This paper combines information on mortality and disability and explores educational inequalities in disability-free life expectancy in the aging population in Sweden, and to what extent these inequalities have increased or decreased over time. A random sample of the Swedish population aged 77 years and above (n=2895) provided information about disability in the population in the years 2002, 2004, 2011 and 2014. The prevalence of disability was assessed by five items of personal activities of daily living and incorporated in period life tables for the corresponding years, using the Sullivan method. The analyses were stratified by sex and educational attainment. Estimates at ages 77 and 85 years are presented. Disability-free life expectancy at age 77 years increased more than total life expectancy for all except men with lower education. Women with higher education had a 2.7-year increase and women with lower education a 1.6-year increase. The corresponding numbers for men were 2.0 and 0.8 years. The educational gap in disability-free life expectancy increased by 1.2 years at age 77 years for both men and women. While most of the increase in life expectancy was years free from disability, men with lower education had an increase of years with disability. The educational differences prevailed and increased over the period as the gains in disability-free life expectancy were smaller among those with lower education.

The contribution of multiple long-term conditions to widening inequalities in disability-free life expectancy over two decades: Longitudinal analysis of two cohorts using the Cognitive Function and Ageing Studies.

Background: Disability-free life expectancy (DFLE) inequalities by socioeconomic deprivation are widening, alongside rising prevalence of multiple long-term conditions (MLTCs). We use longitudinal data to assess whether MLTCs contribute to the widening DFLE inequalities by socioeconomic deprivation.Methods: The Cognitive Function and Ageing Studies (CFAS I and II) are large population-based studies of those ≥65 years, conducted in three areas in England. Baseline occurred in 1991 (CFAS I, n=7635) and 2011 (CFAS II, n=7762) with two-year follow-up. We defined disability as difficulty in activities of daily living, MLTCs as the presence of at least two of nine health conditions, and socioeconomic deprivation by area-level deprivation tertiles. DFLE and transitions between disability states and death were estimated from multistate models.Findings: For people with MLTCs, inequalities in DFLE at age 65 between the most and least affluent widened to around 2.5 years (men:2.4 years, 95% confidence interval (95%CI) 0.4–4.4; women:2.6 years, 95%CI 0.7–4.5) by 2011. Incident disability reduced for the most affluent women (Relative Risk Ratio (RRR):0.6, 95%CI 0.4–0.9), and mortality with disability reduced for least affluent men (RRR:0.6, 95%CI 0.5–0.8). MLTCs prevalence increased only for least affluent men (1991: 58.8%, 2011: 66.9%) and women (1991: 60.9%, 2011: 69.1%). However, DFLE inequalities were as large in people without MLTCs (men:2.4 years, 95%CI 0.3–4.5; women:3.1 years, 95% CI 0.8–5.4).Interpretation: Widening DFLE inequalities were not solely due to MLTCs. Reduced disability incidence with MLTCs is possible but was only achieved in the most affluent.

Trends in Disability-Free Life Expectancy (DFLE) from 1995 to 2017 in the older Norwegian population by sex and education: The HUNT Study.

Understanding whether increasing Life Expectancy (LE) translates to improved health and function among older adults is essential, but results are inconclusive. We aimed to estimate trends in Disability-Free Life Expectancy (DFLE) in the older Norwegian population by sex and education from 1995 to 2017. National life table data were combined with cross-sectional data on functional ability for 70+ year-olds from the population-based Trøndelag Health Surveys 2-4 (1995-1997, 2006-2008 and 2017-2019) (n=24,733). Self-reported functional ability was assessed on a graded scale by a combination of Instrumental Activities of Daily Living (IADL) such as paying bills, going out or shopping (mild disability) and Personal Activities of Daily Living (PADL) such as washing, dressing or eating (severe disability). LE, DFLE, Mild-Disability LE and Severe-Disability LE at age 70 were estimated by the Sullivan method. From 1995 to 2017 DFLE at age 70 increased from 8.4 to 13.0 years in women, and from 8.0 to 12.1 years in men. DFLE increased in the basic and high educational groups, but more so in the high educational group among men. Educational inequalities in years spent with disability however, remained low. From the mid-1990s and over the past three decades both LE and DFLE at 70 years increased in the older Norwegian population, for both men and women, and across basic and high educational levels. Educational inequalities in DFLE increased, especially in men, but years spent with disability were similar across the three decades.

Determinants of educational inequalities in disability-free life expectancy between ages 35 and 80 in Europe.

Socioeconomic inequalities in disability-free life expectancy (DFLE) exist across all European countries, yet the driving determinants of these differences are not completely known. We calculated the impact on educational inequalities in DFLE of equalizing the distribution of eight risk factors for mortality and disability using register-based mortality data and survey data from 15 European countries for individuals between 35 and 80 years old. From the selected risk factors, the ones that contribute the most to the educational inequalities in DFLE are low income, high body-weight, smoking (for men), and manual occupation of the father. Potentially large reductions in inequalities can be achieved in Eastern European countries, where educational inequalities in DFLE are also the largest.

Healthy ageing for all? Comparisons of socioeconomic inequalities in health expectancies over two decades in the Cognitive Function and Ageing Studies I and II.

BackgroundDespite increasing life expectancy (LE), cross-sectional data show widening inequalities in disability-free LE (DFLE) by socioeconomic status (SES) in many countries. We use longitudinal data to better understand trends in DFLE and years independent (IndLE) by SES, and how underlying transitions contribute.MethodsThe Cognitive Function and Ageing Studies (CFAS I and II) are large population-based studies of those aged ≥65 years in three English centres (Newcastle, Nottingham, Cambridgeshire), with baseline around 1991 (CFAS I, n = 7635) and 2011 (CFAS II, n = 7762) and 2-year follow-up. We defined disability as difficulty in activities of daily living (ADL), dependency by combining ADLs and cognition reflecting care required, and SES by area-level deprivation. Transitions between disability or dependency states and death were estimated from multistate models.ResultsBetween 1991 and 2011, gains in DFLE at age 65 were greatest for the most advantaged men and women [men: 4.7 years, 95% confidence interval (95% CI) 3.3–6.2; women: 2.8 years, 95% CI 1.3–4.3]. Gains were due to the most advantaged women having a reduced risk of incident disability [relative risk ratio (RRR):0.7, 95% CI 0.5–0.8], whereas the most advantaged men had a greater likelihood of recovery (RRR: 1.8, 95% CI 1.0–3.2) and reduced disability-free mortality risk (RRR: 0.4, 95% CI 0.3–0.6]. Risk of death from disability decreased for least advantaged men (RRR: 0.7, 95% CI 0.6–0.9); least advantaged women showed little improvement in transitions. IndLE patterns across time were similar.ConclusionsPrevention should target the most disadvantaged areas, to narrow inequalities, with clear indication from the most advantaged that reduction in poor transitions is achievable.

Why Are Inequalities in Disability-Free Life Expectancy by Socioeconomic Position Widening?

Life expectancy has increased over previous decades, but several countries are seeing widening inequalities in disability-free life expectancy (DFLE) by socioeconomic position (SEP). In this symposium we address three unanswered questions.1. Do DFLE trends differ for SEP groups, and which of the underlying transitions (incidence, recovery, death when disability-free, death when already disabled) explains the differences?2. Do DFLE trends by SEP depend on when in the life-course SEP is measured (early life - education, mid-life - occupational status or late-life - material disadvantage)?3. How much does multi-morbidity contribute to differing trends in DFLE by SEP, since multi-morbidity is more prevalent in low SEP groups? To answer these questions, we use unique longitudinal studies of older people across different generations in two countries: the UK (Cognitive Function and Ageing Studies – CFAS I and II) and Australia (Household, Income and Labour Dynamics in Australia – HILDA). The first presentation sets the scene with findings from a systematic review of worldwide trends in life and healthy life expectancy by SEP. Presentations two and three examine the first question using DFLE at age65 by SEP defined by late-life disadvantage in CFAS (1991-2011), followed by HILDA (2001-2017). The fourth presentation investigates the effect of different life-course measures of SEP using HILDA. The final presentation from CFAS examines the third question. This symposium increases our understanding of how and why inequalities in DFLE by SEP are changing with the goal of achieving healthy ageing for all.

Inequalities in Trends in Healthy and Disability-Free Life Expectancies: A Systematic Review

To update previous reviews, we searched Medline, Embase, Scopus and the Office for National Statistics (ONS) website for studies and reports published after 2016 that describe trends in healthy life expectancy, active life expectancy or disability-free life expectancy (DFLE) in the UK and other OECD high-income countries. We focus here on studies reporting inequalities by socioeconomic position (SEP) in these trends. There was mixed evidence of educational and area-level deprivation inequalities in trends in DFLE, with four studies indicating that educational inequalities were widening in European countries. No studies were identified that examined inequalities in disability-free life expectancy trends in the UK. All studies were based on cross-sectional data from multiple time points or longitudinal panel studies. We discuss the size of inequalities in DFLE between SEP groups and the limitations of previous studies.

Area-Level Disadvantage and Changes in Disability-Free Life Expectancy for Older Australians

We report the first analysis of inequalities in Disability-Free Life Expectancy (DFLE) trends for Australia, based on two cohorts of the nationally representative Household Income and Labour Dynamics in Australia survey. Each cohort was aged 45+ at baseline with 7-years of annual follow-up (Older cohort: 2001-2007, n=6363; Younger cohort: 2011-2017, n=8197). Disability was defined by a Global Activity Limitation Indicator, and socioeconomic position (SEP) by an area-level index of disadvantage. Compared to men in high advantage areas, men residing in low advantage areas experienced smaller gains in life expectancy (3.0 vs 4.6 years at age 65), DFLE (0.6 vs 1.8 years) and years with disability (2.4 vs 2.8 years). In contrast, for women in low advantage areas all years gained in life expectancy (2.6 years) were years with disability, whereas women in high advantage areas experienced gains in DFLE (1.7 years) and even more years with disability (2.7 years).

Contextual factors underpinning geographical inequalities in disability-free life expectancy in 100 French départements.

The objectives were to estimate disability-free life expectancy (DFLE) and life expectancy with disability (DLE) by gender for the 100 French départements (administrative geographical subdivisions) and to investigate associations with socioeconomic factors, supply of healthcare and services for older persons. DFLE and DLE at age 60 are estimated using the Sullivan method and based on the GALI indicator provided by the French cross-sectional survey Vie Quotidienne et Santé 2014. In 2014, DFLE for men and women aged 60 was 14.3years and 15.6years, respectively. Variations across départements were considerable (5.4years for men, 6.7years for women). Multivariate random effects meta-regression models indicated a negative association for men between DFLE and some of the socioeconomic contextual indicators (ratio of manual workers to higher-level occupations and unemployment rate); the level of in-home nursing services (HNS) was negatively associated with DFLE and density of nurses positively associated with DLE. Among women, ratio of manual workers to higher-level occupations, unemployment rate, proportion of the population living in large urban areas, density of nurses, and level of HNS were negatively associated with DFLE; density of physiotherapy supply was associated positively with DFLE and negatively with DLE. Our results suggest that geographical inequalities in health expectancies are significantly correlated with socioeconomic status and with healthcare supply, support for older persons, and urban environments, particularly among women. These results underline the importance of monitoring these indicators and disparities at infra-national-level, and of investigating their relations with local context, particularly the supply of healthcare and services.

Socioeconomic Inequalities in Disability-free Life Expectancy in Older People from England and the United States: A Cross-national Population-Based Study

BackgroundWe examined socioeconomic inequalities in disability-free life expectancy in older men and women from England and the United States and explored whether people in England can expect to live longer and healthier lives than those in the United States.MethodsWe used harmonized data from the Gateway to Global Aging Data on 14,803 individuals aged 50+ from the U.S. Health and Retirement Study (HRS) and 10,754 from the English Longitudinal Study of Ageing (ELSA). Disability was measured in terms of impaired activities and instrumental activities of daily living. We used discrete-time multistate life table models to estimate total life expectancy and life expectancy free of disability.ResultsSocioeconomic inequalities in disability-free life expectancy were of a similar magnitude (in absolute terms) in England and the United States. The socioeconomic disadvantage in disability-free life expectancy was largest for wealth, in both countries: people in the poorest group could expect to live seven to nine fewer years without disability than those in the richest group at the age of 50.ConclusionsInequalities in healthy life expectancy exist in both countries and are of similar magnitude. In both countries, efforts in reducing health inequalities should target people from disadvantaged socioeconomic groups.

Income inequality in disability-free life expectancy in Denmark

Abstract Background The state old-age pension in Denmark is adjusted in line with the projected increasing life expectancy without taking social inequality in health and life expectancy into account. The purpose of the study was to estimate income disparities in life expectancy and disability-free life expectancy (DFLE) at age 50. Methods By linking nationwide register data on income and mortality each individual at any age was divided into equivalised disposable income quartiles and life tables were constructed for each quartile. Data from the Danish Survey of Health, Ageing and Retirement in Europe (SHARE) was linked to register data providing access to information on respondents equivalised disposable income. Finally, data from the life tables were combined with prevalence on activity limitations by income quartiles from SHARE to estimate DFLE by Sullivan’s method. Differences in DFLE were investigated and decomposed into contributions from mortality and disability effects. Results A clear social gradient was seen for life expectancy as well as DFLE. Thus, life expectancy at age 50 differed between the highest and lowest income quartile by 8.0 years for men and 5.0 years for women. The difference in DFLE was 11.8 and 10.3 years for men and women, respectively. For men the mortality effect from the decomposition contributed by 4.1 years to the difference of 11.8 years in DFLE and 3.9 years to the difference in expected years with disability of 3.8 years while the disability effect contributed by 7.7 years. Conclusions The study quantifies social inequality in health in Denmark. Although income inequality in life expectancy and DFLE can partly be explained by loss of income due to chronic diseases, one would expect a welfare state to provide better financial security for citizens with health problems. Furthermore, the marked social disparity when approaching retirement age is questioning the fairness of implementing a pension scheme independently of socioeconomic position. Key messages Disability-free life expectancy differs between income quartiles by more than 10 years. Pension age follows the projected increasing life expectancy independently of socioeconomic position. This seems unfair.

Fruit and vegetable consumption and its contribution to inequalities in life expectancy and disability-free life expectancy in ten European countries

ObjectivesTo assess to what extent educational differences in total life expectancy (TLE) and disability-free life expectancy (DFLE) could be reduced by improving fruit and vegetable consumption in ten European countries.MethodsData from national census or registries with mortality follow-up, EU-SILC, and ESS were used in two scenarios to calculate the impact: the upward levelling scenario (exposure in low educated equals exposure in high educated) and the elimination scenario (no exposure in both groups). Results are estimated for men and women between ages 35 and 79 years.ResultsVarying by country, upward levelling reduced inequalities in DFLE by 0.1–1.1 years (1–10%) in males, and by 0.0–1.3 years (0–18%) in females. Eliminating exposure reduced inequalities in DFLE between 0.6 and 1.7 years for males (6–15%), and between 0.1 years and 1.8 years for females (3–20%).ConclusionsUpward levelling of fruit and vegetable consumption would have a small, positive effect on both TLE and DFLE, and could potentially reduce inequalities in TLE and DFLE.

Educational inequalities in health expectancy during the financial crisis in Denmark.

To investigate educational differentials in health expectancy among 50-year-old Danes before and during the financial crisis. Nationwide register data on mortality were combined with data from SHARE surveys in 2006/2007 and 2010/2011 to estimate disability-free life expectancy (DFLE) and expected lifetime in self-rated good health by educational level. The difference in life expectancy between 50-year-old men and women with high and low educational levels increased by 0.3 and 0.8years, respectively. The overall educational differentials in DFLE did not change much for women, whereas for men the tendency was that DFLE increased for those with high educational level and decreased for those with less education ascending the difference by almost 2years (from 5.9 to 7.8years), although the difference was not statistically significant. The educational disparity in expected lifetime in self-rated good health increased by 1.3years for men and 1.2years for women. The social inequality in DFLE for men and expected lifetime in self-rated good health for both genders increased slightly during the short period. The financial crisis did not seem to indicate a change in the persistent trend of the widening social gap.

Changes in social inequalities in disability-free life expectancy in Southern Europe: the case of the Basque Country.

BackgroundHealth expectancy is a useful tool to monitor health inequalities. The evidence about the recent changes in social inequalities in healthy expectancy is relatively scarce and inconclusive, and most studies have focused on Anglo-Saxon and central or northern European countries. The objective of this study was to analyse the changes in socioeconomic inequalities in disability-free life expectancy in a Southern European population, the Basque Country, during the first decade of the 21st century.MethodsThis was an ecological cross-sectional study of temporal trends on the Basque population in 1999–2003 and 2004–2008. All-cause mortality rate, life expectancy, prevalence of disability and disability free-life expectancy were calculated for each period according to the deprivation level of the area of residence. The slope index of inequality and the relative index of inequality were calculated to summarize and compare the inequalities in the two periods.ResultsDisability free-life expectancy decreased as area deprivation increased both in men and in women. The difference between the most extreme groups in 2004–2008 was 6.7 years in men and 3.7 in women. Between 1999–2003 and 2004–2008, socioeconomic inequalities in life expectancy decreased, and inequalities in disability-free expectancy increased in men and decreased in women.ConclusionsThis study found important socioeconomic inequalities in health expectancy in the Basque Country. These inequalities increased in men and decreased in women in the first decade of the 21st century, during which the Basque Country saw considerable economic growth.

Drivers of inequality in disability-free expectancy at birth and age 85 across space and time in Great Britain

BackgroundAlthough mortality and health inequalities at birth have increased both geographically and in socioeconomic terms, little is known about inequalities at age 85, the fastest growing sector of the population...