On the measurement of healthy lifespan inequality.

BACKGROUND: Current measures to monitor population health include indicators of (i) average length-of-life (life expectancy), (ii) average length-of-life spent in good health (health expectancy), and (iii) variability in length-of-life (lifespan inequality). What is lacking is an indicator measuring the extent to which healthy lifespans are unequally distributed across individuals (the so-called 'healthy lifespan inequality' indicators). METHODS: We combine information on age-specific survival with the prevalence of functional limitation or disability in Spain (2014-2017) by sex and level of education to estimate age-at-disability onset distributions. Age-, sex- and education-specific prevalence rates of adult individuals' daily activities limitations were based on the GALI index derived from Spanish National Health Surveys held in 2014 and 2017. We measured inequality using the Gini index. RESULTS: In contemporary Spain, education differences in health expectancy are substantial and greatly exceed differences in life expectancy. The female advantage in life expectancy disappears when considering health expectancy indicators, both overall and across education groups. The highly educated exhibit lower levels of lifespan inequality, and lifespan inequality is systematically higher among men. Our new healthy lifespan inequality indicators suggest that the variability in the ages at which physical daily activity limitations start are substantially larger than the variability in the ages at which individuals die. Healthy lifespan inequality tends to decrease with increasing educational attainment, both for women and for men. The variability in ages at which physical limitations start is slightly higher for women than for men. CONCLUSIONS: The suggested indicators uncover new layers of health inequality that are not traceable with currently existing approaches. Low-educated individuals tend to not only die earlier and spend a shorter portion of their lives in good health than their highly educated counterparts, but also face greater variation in the eventual time of death and in the age at which they cease enjoying good health-a multiple burden of inequality that should be taken into consideration when evaluating the performance of public health systems and in the elaboration of realistic working-life extension plans and the design of equitable pension reforms.

Longevity and Lifespan Variation by Educational Attainment in Spain: 1960-2015.

For a long time, studies of socioeconomic gradients in health have limited their attention to between-group comparisons. Yet, ignoring the differences that might exist within groups and focusing on group-specific life expectancy levels and trends alone, one might arrive at overly simplistic conclusions. Using data from the Spanish Encuesta Sociodemográfica and recently released mortality files by the Spanish Statistical Office (INE), this is the first study to simultaneously document (1) the gradient in life expectancy by educational attainment groups, and (2) the inequality in age-at-death distributions within and across those groups for the period between 1960 and 2015 in Spain. Our findings suggest that life expectancy has been increasing for all education groups but particularly among the highly educated. We observe diverging trends in life expectancy, with the differences between the low- and highly educated becoming increasingly large, particularly among men. Concomitantly with increasing disparities across groups, length-of-life inequality has decreased for the population as a whole and for most education groups, and the contribution of the between-group component of inequality to overall inequality has been extremely small. Even if between-group inequality has increased over time, its contribution has been too small to have sizable effects on overall inequality. In addition, our results suggest that education expansion and declining within-group variability might have been the main drivers of overall lifespan inequality reductions. Nevertheless, the diverging trends in longevity and lifespan inequality across education groups represent an important phenomenon whose underlying causes and potential implications should be investigated in detail.

Age and cause-of-death contributions to educational inequalities in life expectancy and lifespan variation in a low-mortality country: A cross-sectional study of 1.67 million deaths in Spain (2016-19).

Background: We aim to assess the age- and cause-specific contributions to differences in life expectancy and lifespan variation between the high- and low-educated groups in Spain. Methods: We use sex-, age-, education- and cause-specific mortality and population data for individuals aged 30 and over for 2016-19 in Spain. We estimated life expectancies, and standard deviations of the age-at-death distribution (lifespan variation), and we disentangled the contribution of age-causes of death to educational differences in both indicators. Findings: Life expectancy at age 30 was higher for high-educated groups compared to low-educated groups, 5.5 years for males and 3.0 years for females. Lifespan variation was higher for low-educated groups compared to high-educated groups, 2.9 years for males and 2.2 years for females. The main contributors to the life expectancy gaps in males were lung cancer (0.58 years) and ischaemic heart diseases (0.42 years), and in females were other cardiovascular causes (0.26 years), and ischaemic heart diseases (0.22 years). The main contributors to the lifespan variation gaps were in males lung cancer (-0.25 years) and ischaemic heart diseases (-0.22 years), while in females were other neoplasms and other diseases of the nervous system. Interpretation: Whereas behavioural causes are more important in explaining educational inequalities in mortality among men, ageing-related causes of death seem more important among women. Attempts at narrowing socioeconomic gaps in mortality may benefit from applying gender-specific preventive policy measures.

[The changing profile of caregivers of persons aged 65 years and over with disabilities within a persisting family care model]. / Evolución del perfil de los cuidadores de personas de 65 y más años con discapacidad en la persistencia de un modelo de cuidado familiar.

INTRODUCTION: The increasing participation of women in the workforce may make it difficult to sustain the current model of elderly care. The aim of this article was to determine the changing sociodemographic profile of informal elderly caregivers with disabilities, the interaction between employment and care, and the view of the public on the responsibility of that care. MATERIALS AND METHODS: Cross-sectional analysis of secondary data from four national surveys were used: the disability surveys held in 1999 (N=3,936) and 2008 (N=5,257), the 2011-12 National Health Survey (N=439), and the Family and Gender survey of 2012 (N=1,359). They were analysed using contingency tables based on gender and age. RESULTS: Half of the informal caregivers were women aged 45 to 64 years. Between 1999 and 2011-12 they became more concentrated in the 55-64 age-bracket, among whom participation in the workforce doubled from 20% to 40%. Increased care for men was associated with unemployment. Care work had a negative impact on working life, with greater impact among women and those who cared for elderly people with severe disabilities. Less likely to consider that elderly care provision should rest on family are 45-54 year-old economically active women (only 42%) or those who are more educated (40%), compared to 60% of economically inactive women and 55% of less educated women. CONCLUSIONS: Economically active and educated women are less inclined to family-based care, but assume it independently of their workforce participation, whereas males do so according to their availability.

The health transition and biological living standards: adult height and mortality in 20th-century Spain.

This paper seeks new insights concerning the health transition in 20th century Spain by analyzing both traditional (mortality-based) and alternative (anthropometric-based) health indicators. Data were drawn from national censuses, vital and cause-of-death statistics and seven National Health Surveys dating from 1987 to 2006 (almost 100,000 subjects aged 20-79 were used to compute cohort height averages). A multivariate regression analysis was performed on infant mortality and economic/historical dummy variables. Our results agree with the general timing of the health transition process in Spain as has been described to date insofar as we document that there was a rapid improvement of sanitary and health care related factors during the second half of the 20th century reflected by a steady decline in infant mortality and increase in adult height. However, the association between adult height and infant mortality turned out to be not linear. In addition, remarkable gender differences emerged: mean height increased continuously for male cohorts born after 1940 but meaningful improvements in height among female cohorts was not attained until the late 1950s.