Associations of Successful Aging With Socioeconomic Position Across the Life-Course: The West of Scotland Twenty-07 Prospective Cohort Study

When in the lifecourse? Socioeconomic position across the lifecourse and biological health score

PURPOSE

Educational attainment is associated with multiphysiological wear and tear. However, associations with measures of socioeconomic position (SEP) across different life-stages are not established.

METHODS

Using regression models and data from 8,105 participants from the UK Household Longitudinal Study (Understanding Society), we examined associations of lifecourse SEP with an overall biological health score (BHS). BHS is broader than usual measures of biological 'wear and tear' and is based on six physiological subsystems (endocrine, metabolic, cardiovascular, inflammatory/immune, liver, and kidney), with higher scores indicating worse health. Lifecourse SEP was based on respondents' parental, first, and most recent occupations.

RESULTS

Associations with SEP at all life-stages demonstrated higher BHS with increasing disadvantage (e.g. slope index of inequality (SII) (95% CI) for most recent SEP: 0.04 (0.02, 0.06)). There was little difference in the magnitude of associations for SEP measured at each life-stage. Cumulative disadvantage across the lifecourse showed a stepped association with increasing BHS (SII (95% CI): 0.05 (0.04, 0.07)). Associations were largely driven by metabolic, cardiovascular, and inflammatory systems.

CONCLUSION

Our results suggest that disadvantaged SEP across the lifecourse contributes cumulatively to poorer biological health, highlighting that every life-stage should be a target for public health policies and intervention.

Active and productive ageing in India: evidence from the time use pattern of ageing adults

BACKGROUND

With the increasing proportion of older adults in India, it becomes essential to get an insight into the various influencing factors of successful ageing. However, the literature on successful ageing is minuscule in the Indian context. The present study attempted to understand successful ageing in terms of active and productive ageing by exploring their determining factors.

METHODS

The data were extracted from the Longitudinal Ageing Study in India (LASI) Wave-1 (2017-2018). We utilized self-reported time use information from the experimental module of the LASI. A total of 7837 ageing adults were included in the study. We employed descriptive statistics, bivariate analysis and a multinominal logistic regression model to examine the prevalence and the determinants of active and productive ageing.

RESULTS

The prevalence of inactive ageing was higher among the Indian ageing population (57.47%), followed by active ageing (29.59%) and productive ageing (12.94%). Poor sleep quality and the prevalence of morbidity and disability limited the ageing population from attaining active and productive ageing. Engagement in physical activity was significantly associated with active and productive ageing (β = 0.83, 99% CI: -0.72-0.94 and β = 0.82, 99% CI: 0.66-0.98), respectively. Rural ageing adults were more likely to attain active ageing and less likely to attain productive ageing.

CONCLUSION

Engagement in physical activities among the ageing population shall be promoted to attain active and productive ageing. Since the rural ageing population were less likely to attain productive ageing than their urban counterparts, opportunities to participate in more formal economic activities in rural areas could be promoted for the wellbeing of the second demographic dividend.

Individual and environmental factors associated with successful aging among Korean older adults: Multilevel analysis of cross-sectional nationwide survey data

PURPOSE

The importance of environmental influences on successful aging has recently been emphasized. However, existing studies that investigated environmental factors related to successful aging in older adults did not apply multi-level analysis while simultaneously examining individual and environmental factors related to successful aging. Therefore, this study aimed to determine the level of successful aging in older adults and the individual and environmental factors related to successful aging.

MATERIALS AND METHODS

Data from a nationwide survey were used. The study comprised a cross-sectional sample of 73,942 community-dwelling adults aged ≥65 years with individual-level data drawn from the 2019 Korea Community Health Survey. Community-level data of 255 local administrative districts (cities or counties) were extracted from the Community Health Determinant Database from 2017 to 2019. These data were merged and used in multi-level logistic regression analyses.

RESULTS

Generally, 27.1% of the participants achieved successful aging. Individual factors including sex, age, marital status, education level, job, monthly household income, smoking, physical activity, and body mass index were significantly associated with successful aging. Four environmental factors, urban residential area, social network, satisfaction with living environment, and air quality, were positively associated with successful aging at the community level; among them, high satisfaction with living environment (OR = 6.06, 95% CI: 2.43-15.12) was the most strongly associated factor with successful aging.

CONCLUSIONS

The findings suggest that environmental factors are essential for successful aging among older adults in addition to individual factors. Therefore, multiple strategies considering individual and environmental factors are needed to improve successful aging.

Association between hearing loss and deprivation among Welsh adults: a cross-sectional observational study

OBJECTIVE

To index levels of hearing loss with respect to area-level indices of deprivation in a Welsh population.

DESIGN

A cross-sectional observational study of all adults (aged >18) that attended Abertawe Bro Morgannwg University (ABMU) Health Board audiology services between 2016 and 2018. Service access, first hearing aid fitting appointment rates and hearing loss at time of first hearing aid provision were used to index population hearing loss versus area-level indices of deprivation based on patient postcode.

SETTING

Primary and secondary care.

PARTICIPANTS

59 493 patient entries met the inclusion criteria. Patient entries were grouped by age (18-30, 31-40, 41-50, 51-60, 61-70, 71-80, >80 years) and deprivation decile.

RESULTS

The interaction between age group and deprivation decile predicted access rate to ABMU audiology services (b=-0.24, t(6858) = -2.86, p<0.01) with audiology services accessed more frequently by the most deprived versus the least deprived decile in every age group (p<0.05), except the >80 years. First hearing aid fitting rates were highest among the most deprived in the four youngest age groups (p<0.05). Severity of hearing loss at the time of first hearing aid fitting was worse among the most deprived in the five oldest age groups (p<0.01).

CONCLUSIONS

Hearing health inequalities are prevalent among adults accessing ABMU audiology services. Our findings suggest that deprivation increases the likelihood of developing hearing loss, brings earlier onset of hearing loss and is linked to delays in getting help for hearing problems. However, it is not possible to know the true scale of these disparities without knowing the hearing health of the Welsh adult population including those who do not seek help for hearing problems.

Examining the impact of different social class mechanisms on health inequalities: A cross-sectional analysis of an all-age UK household panel study

BACKGROUND

Socioeconomic inequalities are well established across health, morbidity and mortality measures. Social class theory describes how social groups relate, interact and accrue advantages/disadvantages relative to one another, with different theorists emphasising different dimensions. In the context of health inequalities, different social class measures are used interchangeably to rank population groups in terms of health rather than directly exploring the role of social class in creating inequalities. We aim to better understand how four distinct social class mechanisms explain differences in a range of self-reported and biological health outcomes.

METHODS

We use data from the UK Household Longitudinal Study, a representative population survey of UK adults, to identify measures pertaining to Early years, Bourdieusian, Marxist, and Weberian social class mechanisms. Using logistic and least-squares regression we consider the relative extent to which these mechanisms explain differences in health (Self-reported health, SF12 Physical (PCS) and Mental (MCS) Component Scores, General Health Questionnaire; N = 21,446) and allostatic load, a biomarker-based measure of cumulative stress (N = 5003).

RESULTS

Respondents with higher social position according to all social class measures had better self-rated, physical and mental health, and lower allostatic load. Associations with Marxist social class were among the strongest (e.g. Relative Index of Inequality for very good/excellent self-rated health comparing highest versus lowest Marxist social class: 4.96 (4.45, 5.52), with the Weberian measure also strongly associated with self-rated (4.35 (3.90, 4.85)) and physical health (Slope Index of Inequality for SF12-PCS: 7.94 (7.39, 8.48)). Health outcome associations with Bourdieusian and Marxist measures were generally stronger for women and older respondents, and physical health associations with all measures were stronger among those aged 50+ years.

CONCLUSIONS

The impact of social class on health is multi-faceted. Policies to reduce health inequalities should focus more on unequal capital ownership, economic democracy and educational inequalities, reflecting Marxist and Weberian mechanisms.

Multidimensional Factors Affecting Successful Aging among Empty-Nesters in China Based on Social-Ecological System Theory

BACKGROUND

This study aims to identify the status of successful aging and the factors influencing empty-nest elderly in China based on the social-ecological system theory.

METHODS

The data came from the follow-up survey (2018) of the China Health and Retirement Longitudinal Study and 3074 empty-nesters aged 60 and over are included. Chi-squared tests and logistic regressions were used to identify factors associated with successful aging.

RESULTS

The successful aging rate of empty-nesters in China was 5.9%. The results of the multifactor analysis showed that younger age, higher education level, good self-rated health, good hearing, high life satisfaction, availability of financial resources at the microsystem level, higher frequency of contact with children at the mesosystem level, and medical insurance at the macrosystem level were the contributing influencing factors for successful aging of empty-nesters in China.

CONCLUSION

This study is an important attempt to explore the successful aging of empty-nesters in China. Because this study is based on social-ecological system theory, it confirms the important role of individual characteristics of older adults and their surrounding environment in achieving successful aging. Therefore, we should pay attention not only to the individual characteristics of the elderly, but also to the role of the surrounding environment on the health of the elderly, so that we can develop intervention measures to promote their successful aging.

Successful ageing in the oldest old: objectively and subjectively measured evidence from a population-based survey in Germany

Despite rapid increase of people aged 80 and over, concepts of successful ageing (SA) are primarily examined for people below that age. Therefore, successful ageing was examined in a population-based representative sample of N = 1863 people aged 80 to 102 (NRW80+) with 11% living in institutionalized settings. In this survey on quality of life and well-being, multiple linear and logistic regression models were used to calculate the distribution of successful agers. According to Rowe and Kahn's objective definition, 9% of the sample aged successfully, but one-third (33%) still met four to five SA criteria. This is in line with the theoretical a priori criterion of 10% in a normal distribution of a sample, while 80% age normally and 10% pathologically. However, averages of life satisfaction, affective well-being, positive ageing experience and valuation of life were high. The majority of the oldest old (65%) are successful agers in their own subjective perception, which is not in line with objective measurements. Moreover, 11% of objectively measured successful agers do not meet subjective criteria. These empirical findings reveal a remarkable discrepancy between objective and subjective criteria of SA. Future research on concepts that define successful ageing for the oldest old should consider more holistic markers of success, e.g., outcomes of productive social engagement.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s10433-021-00609-7.

The Association of Dietary Habits and Lifestyle Characteristics with Successful Aging among Older Greek Origin Individuals Living in France, Canada, and Greece: The Epidemiological Mediterranean Islands Study (MEDIS)

The aim of the present work was to investigate the association of dietary habits and lifestyle characteristics with successful aging among native Greeks and Greeks of Diaspora (Canada and France). During 2005-2019, 2,434 Greek men and women, living in Greece, in France, and in Canada, over 65 years of age were enrolled voluntarily in the study. Anthropometric, clinical and socio-demographic characteristics, dietary habits, and lifestyle parameters were derived through standard procedures, while successful aging was evaluated using the validated Successful Aging Index (SAI, range 0-10). The SAI of the overall sample was 2.8 ± 1.4. Greeks of Diaspora had higher SAI levels compared to their counterparts in Greece (p's < .001). However, there was no difference between Greeks of Canada and these of France (p > .05). Actually, Greeks of Diaspora had almost 1.9 units higher SAI compared to native Greeks (p < .001). Work and financial status, dietary and lifestyle behaviors (i.e., physical activity, smoking habits), and several clinical characteristics (i.e., history of hypertension and hypercholesterolemia) were statistically different between the three groups (all p's < .05). Greeks of Diaspora had higher SAI levels, probably because of their healthier lifestyle practices, which mainly depend on their traditions and cultural background of their homelands and living conditions in the host countries.

Socioeconomic position and healthy ageing: A systematic review of cross-sectional and longitudinal studies

BACKGROUND

The association between socioeconomic position (SEP) and health is well-established. However, the association between SEP and healthy ageing as a multidimensional construct is unclear.

METHODS

We conducted a systematic review of peer-reviewed cross-sectional and longitudinal studies on the associations between SEP and multidimensional healthy ageing measures. Studies were identified from a systematic search across major electronic databases from inception to February 2021.

RESULTS

Fourthy-five articles met inclusion criteria (26 cross-sectional and 19 longitudinal studies). There was no consistency in method of operationalizing healthy ageing across studies, domains included in the healthy ageing measures, or in the definition and number of levels of SEP indicators. Overall, regardless of heterogeneity between studies, a positive association between educational level (85.0 % of studies) and income/wealth (81.4 % of studies) and healthy ageing was evident. Regarding occupational position, evidence from 11 studies was inconclusive. The number of studies including home ownership, parenteral SEP, or composite SEP scores was insufficient to be able to draw a conclusion.

CONCLUSIONS

There is evidence that socioeconomic inequalities, as assessed by educational level and income/wealth, are associated with healthy ageing. These findings, and the broader evidence base on SEP and healthy ageing, highlight the importance of addressing inequality through integrated health and social policies and strategies.

Early-Life Circumstances, Health Behavior Profiles, and Later-Life Health in Great Britain

Objectives: Drawing on UK Household Longitudinal Study data, this study assessed a pathway from early-life disadvantage to suboptimal later-life health via health behavior. Methods: Latent class analysis was used to identify distinct smoking, nutrition, alcohol, and physical activity health behavior profiles. Mediation analyses were performed to assess indirect effects of early-life disadvantage via health behavior on allostatic load, an objective measure of physiological wear and tear. Results: Four health behavior profiles were identified: (1) broadly healthy and high alcohol consumption, (2) low smoking and alcohol consumption, healthy nutrition, and physically inactive, (3) broadly unhealthy and low alcohol consumption, and (4) broadly moderately unhealthy and high alcohol consumption. Having grown up in a higher socioeconomic position family was associated with lower later-life allostatic load. This was partly attributable to health behavioral differences. Discussion: Growing up under disadvantageous socioeconomic circumstances may initiate a chain of risk by predisposing people to health behavior profiles associated with poorer later-life health.

Highways to Ageing - Linking life course SEP to multivariate trajectories of health outcomes in older adults

OBJECTIVES

Ageing is a temporal, multi-faceted process subject to interacting factors. In this study, we used life course and multidimensional approaches to elucidate the association between socioeconomic forces across a lifetime and the developmental origins in health and disease of the Mexican elderly.

METHODS

Data stemmed from the Mexican Health and Ageing Study, constituting a sample of older adults (N= 5169, ≥50 years). With retrospective information on early, intermediary and contemporaneous socioeconomic indicators, life course typologies of socioeconomic position were identified using Latent Class Analysis. Based on prospective data of functional mobility, number of chronic conditions and self-rated health, multivariate trajectories of health outcomes were uncovered with Group Based Trajectory Model. Links between the extracted SEP and multivariate health latent constructs were explored with multinomial logistic regression.

RESULTS

Life course SEP classes were heterogeneous, yet a large proportion of subjects was characterized by persistent socioeconomic adversity throughout life. The health outcomes' patterns of co-evolution were diverse too, shedding light on the nature of their developmental links, while revealing variable synchronicity in their temporal decline. A graded association was observed between the life course SEP classes and ageing trajectories.

CONCLUSION

The results primarily backed the cumulative advantage/disadvantage life course framework, while finding some indication for age as a leveller hypothesis. Variability in patterns of dynamic co-action among the health outcomes depicts ageing as a naturally variable process of interconnected changes. Life course evidence for the ways socio-economic forces are differentially linked to distinct developmental profiles of ageing is provided.

Lower socioeconomic status and the acceleration of aging: An outcome-wide analysis

Lower socioeconomic status (SES) is a determinant of many of the health problems that emerge at older ages. The extent to which lower SES is associated with faster decline in age-related functions and phenotypes independently of health conditions is less clear. This study demonstrates that lower SES (defined by wealth) is related to accelerated decline over 6 to 8 y in 16 outcomes from physical, sensory, physiological, cognitive, emotional, and social domains, independently of diagnosed health conditions, self-rated health, education, and other factors. It provides evidence for the pervasive role of social circumstances on core aging processes and suggests that less affluent sectors of society age more rapidly than more privileged groups.

Aging involves decline in a range of functional abilities and phenotypes, many of which are also associated with socioeconomic status (SES). Here we assessed whether lower SES is a determinant of the rate of decline over 8 y in six domains—physical capability, sensory function, physiological function, cognitive performance, emotional well-being, and social function—in a sample of 5,018 men and women aged 64.44 (SD 8.49) y on average at baseline. Wealth was used as the marker of SES, and all analyses controlled for age, gender, ethnicity, educational attainment, and long-term health conditions. Lower SES was associated with greater adverse changes in physical capability (grip strength, gait speed, and physical activity), sensory function (sight impairment), physiological function (plasma fibrinogen concentration and lung function), cognitive performance (memory, executive function, and processing speed), emotional well-being (enjoyment of life and depressive symptoms), and social function (organizational membership, number of close friends, volunteering, and cultural engagement). Effects were maintained when controlling statistically for other factors such as smoking, marital/partnership status, and self-rated health and were also present when analyses were limited to participants aged ≤75 y. We conclude that lower SES is related to accelerated aging across a broad range of functional abilities and phenotypes independently of the presence of health conditions and that social circumstances impinge on multiple aspects of aging.

Domains and Measurements of Healthy Aging in Epidemiological Studies: A Review

Purpose of the Study

Few studies have recommended the essential domains of healthy aging and their relevant measurement to assess healthy aging comprehensively. This review is to fill the gap, by conducting a literature review of domains and measures of healthy aging in epidemiological studies.

Design and Methods

A literature search was conducted up to March 31, 2017, supplemented by a search of references in all relevant articles in English. We made a final selection of 50 studies across 23 countries or regions.

Results

Nineteen studies applied Rowe and Kahn’s three standards to assess healthy aging. Thirty-seven studies measured physical capabilities mainly by (instrumental) activities of daily living. Cognitive functions were included in 33 studies. Nineteen of them applied Mini-Mental State Examination (MMSE). Twenty-six studies considered metabolic and physiological health, but they mainly asked the self-reported absence of diseases. Twenty-four studies assessed psychological well-being by employing diverse scales. Questions about participation in social activities were mainly asked to measure social well-being in 22 studies. Sixteen studies considered individuals’ general health status, which was mainly measured by self-rated health. Security questions were asked in five studies. Health behaviors were taken into account by three studies. Fifteen studies either applied SF-12/36 or developed health indices to assess healthy aging.

Implications

This review summarizes detailed scales or methods that have been used to assess healthy aging in previous epidemiological studies. It also discusses and recommends the essential domains of healthy aging, and the relevant instruments for further epidemiological research to use in the assessment of healthy aging.

Successful Aging in Individuals From Less Advantaged, Marginalized, and Stigmatized Backgrounds

Health and well-being in later life are heavily influenced by behaviors across the life course, which in turn are influenced by a variety of wider contextual, social, economic, and organizational factors. There is considerable potential for inequalities in health-promoting behaviors and health outcomes, arising from poverty, social, and environmental factors. This suggests that individuals from disadvantaged backgrounds and circumstances may have more exposure to (chronic) stressors, coupled with reduced access to resources, and increased susceptibility to risk factors for ill-health and mental disorders in later life. This drastically decreases the likelihood for successful aging in individuals from less advantaged backgrounds. Nevertheless, despite these adverse circumstances, some high-risk, disadvantaged individuals have been shown to achieve and maintain good health and well-being into later life.

This scientific update provides an overview of recently published research with samples that, against expectations, demonstrate successful aging.

Favorable personality traits, cognitive strategies, and a high-level of intrinsic motivation, paired with a supportive social environment, have been found to build a prosperous basis for successful aging and positive health outcomes in later life for individuals living in aversive environmental circumstances.

For clinical psychologists, the movement towards the investigation of underlying mechanisms of successful aging from a psychological perspective, particularly in disadvantaged individuals, may be a critical step towards understanding the vast heterogeneity in aging.

Successful aging is possible in disadvantaged individuals.

Psychological and social resilience resources may compensate for the impact of disadvantage.

The application of multi-level resilience models can aid future research on successful aging.

Interpreting mutual adjustment for multiple indicators of socioeconomic position without committing mutual adjustment fallacies

Research into the effects of Socioeconomic Position (SEP) on health will sometimes compare effects from multiple, different measures of SEP in "mutually adjusted" regression models. Interpreting each effect estimate from such models equivalently as the "independent" effect of each measure may be misleading, a mutual adjustment (or Table 2) fallacy. We use directed acyclic graphs (DAGs) to explain how interpretation of such models rests on assumptions about the causal relationships between those various SEP measures. We use an example DAG whereby education leads to occupation and both determine income, and explain implications for the interpretation of mutually adjusted coefficients for these three SEP indicators. Under this DAG, the mutually adjusted coefficient for education will represent the direct effect of education, not mediated via occupation or income. The coefficient for occupation represents the direct effect of occupation, not mediated via income, or confounded by education. The coefficient for income represents the effect of income, after adjusting for confounding by education and occupation. Direct comparisons of mutually adjusted coefficients are not comparing like with like. A theoretical understanding of how SEP measures relate to each other can influence conclusions as to which measures of SEP are most important. Additionally, in some situations adjustment for confounding from more distal SEP measures (like education and occupation) may be sufficient to block unmeasured socioeconomic confounding, allowing for greater causal confidence in adjusted effect estimates for more proximal measures of SEP (like income).

Social determinants, health status and 10-year mortality among 10,906 older adults from the English longitudinal study of aging: the ATHLOS project

Background

In either rich or poor countries, people’s health widely depends on the social conditions in which they live and work – the social determinants of health. The aim of the present work was to explore the association of educational and financial status with healthy aging and mortality.

Methods

Data from the English Longitudinal Study of Aging (ELSA) were studied (n = 10,906 participants, 64 ± 11 years, 55% women). A set of 45 self-reported health items and measured tests were used to generate a latent health metric reflecting levels of functioning referred to as health metric (higher values indicated better health status). Overall mortality after 10-years of follow-up (2002–2012) was recorded.

Results

Both education and household wealth over time were positively associated with the health metric (p < 0.001) and negatively with overall mortality (p < 0.001). Lifestyle behaviors (i.e., physical activity, smoking habits and alcohol consumption) mediated the effect of education and household wealth on the health metric and the latter mediated their effect on overall mortality.

Conclusions

In conclusion, reducing socioeconomic disparities in health by improving the access to education and by providing financial opportunities should be among the priorities in improving the health of older adults.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-6288-6) contains supplementary material, which is available to authorized users.

Sixteen-year predictors of successful aging from a Southern Brazilian cohort The PALA study

Successful aging (SA) is a current positive aging-related perspective and it is important to determine the variables associated with this concept. Most longitudinal population-based studies on predictors of SA were carried out in developed countries.

Occupational and educational inequalities in exit from employment at older ages: evidence from seven prospective cohorts

OBJECTIVES

Past studies have identified socioeconomic inequalities in the timing and route of labour market exit at older ages. However, few studies have compared these trends cross-nationally and existing evidence focuses on specific institutional outcomes (such as disability pension and sickness absence) in Nordic countries. We examined differences by education level and occupational grade in the risks of work exit and health-related work exit.

METHODS

Prospective longitudinal data were drawn from seven studies (n=99 164). Participants were in paid work at least once around age 50. Labour market exit was derived based on reductions in working hours, changes in self-reported employment status or from administrative records. Health-related exit was ascertained by receipt of health-related benefit or pension or from the reported reason for stopping work. Cox regression models were estimated for each study, adjusted for baseline self-rated health and birth cohort.

RESULTS

There were 50 003 work exits during follow-up, of which an average of 14% (range 2-32%) were health related. Low level education and low occupational grade were associated with increased risks of health-related exit in most studies. Low level education and occupational grade were also associated with an increased risk of any exit from work, although with less consistency across studies.

CONCLUSIONS

Workers with low socioeconomic position have an increased risk of health-related exit from employment. Policies that extend working life may disadvantage such workers disproportionally, especially where institutional support for those exiting due to poor health is minimal.

Economic Cognitions Among Older Adults: Parental Socialization Predicts Financial Planning for Retirement

Drawing on the model on financial planning for retirement (FPR), the aim of this work is to explore how parental economic socialization both directly and indirectly affects FPR through the mediation of financial literacy, financial planning decisions and financial management. Data from a sample of 280 participants aged between 45 and 63 years were used. The results show that parental economic socialization directly and indirectly influences FPR. Moreover, parental economic behavior acts as a positive model for the development of financial literacy and skills and for decisions about FPR. All the variables increased the explained variance of FPR. Lastly, we discuss the process by which parental economic socialization is positively related to financial literacy and skills that impact on FPR, indicating some implications and future lines of research.

Education Inequalities in Health Among Older European Men and Women: The Role of Active Aging

OBJECTIVE

We assessed whether education inequalities in health among older people can be partially explained by different levels of active aging among educational groups.

METHOD

We applied logistic regression and the Karlson, Holm, & Breen (KHB) decomposition method using the 2010 and 2012 waves of the Survey of Health, Ageing and Retirement in Europe on individuals aged 50+ years ( N = 27,579). Active aging included social participation, paid work, and provision of grandchild care. Health was measured by good self-perceived health, low number of depressive symptoms, and absence of limitations because of health in activities people usually do.

RESULTS

We found a positive educational gradient for each of the three health measures. Up to a third of the health gaps between high and low educated were associated with differences in engagement in active aging activities.

DISCUSSION

Policies devoted at stimulating an active participation in society among older people should be particularly focused on lower educated groups.