Prevalence and factors associated with multimorbidity in adults in Brazil, according to sex: a population-based cross-sectional survey

Introduction

Multimorbidity, defined as the coexistence of two or more chronic diseases in the same individual, represents a significant health challenge. However, there is limited evidence on its prevalence and associated factors in developing countries, such as Brazil, especially stratified by sex. Thus, this study aims to estimate the prevalence and analyze the factors associated with multimorbidity in Brazilian adults according to sex.

Methods

Cross-sectional population-based household survey carried out with Brazilian adults aged 18 years or older. The sampling strategy consisted of a three-stage conglomerate plan. The three stages were performed through simple random sampling. Data were collected through individual interviews. Multimorbidity was classified based on a list of 14 self-reported chronic diseases/conditions. Poisson regression analysis was performed to estimate the magnitude of the association between sociodemographic and lifestyle factors with the prevalence of multimorbidity stratified by sex.

Results

A total of 88,531 individuals were included. In absolute terms, the prevalence of multimorbidity was 29.4%. The frequency in men and women was 22.7 and 35.4%, respectively. Overall, multimorbidity was more prevalent among women, the older people, residents of the South and Southeast regions, urban area residents, former smokers, current smokers, physically inactive, overweight, and obese adults. Individuals with complete high school/incomplete higher education had a lower prevalence of multimorbidity than those with higher educational level. The associations between education and multimorbidity differed between sexes. In men, multimorbidity was inversely associated with the strata of complete middle school/incomplete high school and complete high school/incomplete higher education, while in women, the association between these variables was not observed. Physical inactivity was positively associated with a higher prevalence of multimorbidity only in men. An inverse association was verified between the recommended fruit and vegetable consumption and multimorbidity for the total sample and both sexes.

Conclusion

One in four adults had multimorbidity. Prevalence increased with increasing age, among women, and was associated with some lifestyles. Multimorbidity was significantly associated with educational level and physical inactivity only in men. The results suggest the need to adopt integrated strategies to reduce the magnitude of multimorbidity, specific by gender, including actions for health promotion, disease prevention, health surveillance and comprehensive health care in Brazil.

Cohort profile: The Vitality 90+ Study-a cohort study on health and living conditions of the oldest old in Tampere, Finland

PURPOSE

Vitality 90+ is an ongoing population-based study with repeated cross-sectional data collections. The study was designed to examine trends in health, functioning, living conditions, quality of life and care needs among the oldest old in Finland.

PARTICIPANTS

Nine mailed surveys have been conducted in the city of Tampere between 1995 and 2018. The first three surveys in 1995, 1996 and 1998 included all community-dwelling individuals aged 90 years or older; and the following six surveys in 2001, 2003, 2007, 2010, 2014 and 2018 covered all individuals in Tampere regardless of their living arrangements. In total, the surveys have included 5935 participants (8840 observations). Around 80% of the participants have been women. The participants' age range has been between 90 and 107 years.

FINDINGS TO DATE

The surveys have consistently asked the same questions over time, covering basic sociodemographic factors, morbidity, functioning, self-rated health (SRH), living arrangements, social relations, quality of life, care needs and providers of care. Survey data have been linked with national register data on health and social service use, mortality and medication. The main findings regarding the time trends show an increase in the proportion of people independent in activities of daily living and mobility. Along with improved functioning, the number of chronic conditions has increased, and SRH has shown a tendency to decline. In addition, we have found increasing occupational class inequalities in functioning and SRH over time.

FUTURE PLANS

The next round of data collection will be completed by the end of 2022. The Vitality 90+ Study welcomes research collaborations that fall within the general aims of the project. The research data 1995-2014 are archived at the Finnish Social Science Data Archive and the data for years 2018 and 2022 will be archived in 2023.

Socioeconomic inequalities in the wellbeing of informal caregivers across Europe

OBJECTIVES

Due to increasing care needs and decreasing care potentials, research around informal caregiving gains attention. Relatively new - but of utmost importance - is the role of socioeconomic inequalities in care and wellbeing. Although caregiving can be rewarding, a growing body of research shows that informal caregiving often has negative consequences for individuals' wellbeing. Theoretically, we expect these negative outcomes to be more pronounced among caregivers with lower socioeconomic resources. The current study examines socioeconomic inequalities in the consequences of caregiving inside the household for life satisfaction.

METHODS

We draw on longitudinal data from the Survey of Health, Ageing, and Retirement in Europe (SHARE waves 2, 4, 5, and 6). We estimated pooled ordinary least squares and fixed-effects regression models to examine the consequences of informal care provision within the household for individuals' life satisfaction, and whether household wealth moderates this relationship, controlling for individuals' sociodemographic and health characteristics.

RESULTS

Care provision inside the household was negatively associated with older adults' life satisfaction. The longitudinal analyses accordingly show that the uptake of care led to declines in life satisfaction. Differentiating by socioeconomic background, we find that caregivers with higher socioeconomic resources in terms of wealth generally experienced higher life satisfaction. Our longitudinal analyses on wellbeing declines reveal, however, that these mechanisms did not significantly differ by socioeconomic status of the caregiver.

DISCUSSION

Our findings suggest the need for increased investments in support services for informal caregivers to mitigate caregiving burdens, irrespective of socioeconomic status, and enhance later life wellbeing.

Assessing Relationships between Physically Demanding Work and Late-Life Disability in Italian Nonagenarian Women Living in a Rural Area

As more and more persons live into their 90s and beyond, investigating causes of disability in the oldest-old population is relevant for public health implications to plan preventive strategies and rehabilitation interventions. A negative association between physically demanding work and midlife physical function has been shown, but there is a paucity of longitudinal studies investigating possible work-related long-term effects in the oldest old. This study investigates the relationship between physically demanding work exposure and late-life physical performances, disability, general health status, and quality of life in a sample of women aged 90 years and over inside the Mugello Study. Sociodemographic data, cognitive and functional status, lifestyle, medical history, drug use, and work history were collected from 236 participants. Farmers had a lower percentage of individuals with preserved independence in basic activities of daily living compared to other occupations. However, in the multivariate analysis, only a higher cognitive function remained associated with functional independence. While confirming the well-known association between cognitive and functional decline in very old age, our results do not support the hypothesis that the negative effects of physical work exposure observed in midlife are relevant to predict disability in nonagenarian women.

Trends in the Social Class Inequalities in Disability and Self-Rated Health: Repeated Cross-Sectional Surveys from Finland and Sweden 2001-2018

Objectives: To assess time trends in the social class inequalities and in total inequality in disability and self-rated health (SRH) in two oldest old populations.

Methods: The data came from the Finnish Vitality 90+ Study (2001, 2003, 2007, 2010, 2014 and 2018; n = 5,440) and from the Swedish Panel Study of Living Conditions of the Oldest Old (2002, 2004, 2011 and 2014; n = 1,645). Inequalities in mobility and activities of daily living (ADL) disability and SRH were examined cross-sectionally and over time using relative and absolute measures.

Results: Lower social classes had greater mobility and ADL disability and worse SRH than higher social classes and the inequalities tended to increase over time. Findings were remarkably similar in both studies and with absolute and relative measures. Total inequality, referring to the variance in health outcome in the total population, remained stable or decreased.

Conclusion: The study suggests that the earlier findings of improved mobility and ADL are largely driven by the positive development in higher social classes while findings of decline in SRH are related to the worsening of SRH in lower social classes

Disaggregation of official demographic projections in sub-groups by education level: the neglected “composition effect” in the future path of life expectancy

We developed an innovative method to break down official population forecasts by educational level. The mortality rates of the high education group and low education group were projected using an iterative procedure, whose starting point was the life tables by education level for Italy, based on the year 2012. We provide a set of different scenarios on the convergence/divergence of the mortality differential between the high and low education groups. In each scenario, the demographic size and the life expectancy of the two sub-groups were projected annually over the period 2018–2065. We compared the life expectancy paths in the whole population and in the sub-groups. We found that in all of our projections, population life expectancy converges to the life expectancy of the high education group. We call this feature of our outcomes the “composition effect”, and we show how highly persistent it is, even in scenarios where the mortality differential between social groups is assumed to decrease over time. In a midway scenario, where the mortality differential is assumed to follow an intermediate path between complete disappearance in year 2065 and stability at the 2012 level, and in all the scenarios with a milder convergence hypothesis, our “composition effect” prevails over the effect of convergence for men and women. For instance, assuming stability in the mortality differential, we estimated a life expectancy increase at age 65 of 2.9 and 2.6 years for men, and 3.2 and 3.1 for women, in the low and high education groups, respectively, over the whole projection period. Over the same period, Italian official projections estimate an increase of 3.7 years in life expectancy at age 65 for the whole population. Our results have relevant implications for retirement and ageing policies, in particular for those European countries that have linked statutory retirement age to variations in population life expectancies. In all the scenarios where the composition effect is not offset by a strong convergence of mortality differentials, we show that the statutory retirement age increases faster than the group-specific life expectancies, and this finding implies that the expected time spent in retirement will shrink for the whole population. This potential future outcome seems to be an unintended consequence of the indexation rule.

Health and health-care utilisation in old age: the case of older men living alone

A growing number of older men are living alone. They are often referred to as an at-risk group in health-care systems. The purpose of this article is to establish an overview of these men's health and health-care utilisation. We do so by drawing on three sources: an online survey with health-care professionals, data from a national self-report health study and register-based data on health-care utilisation. The results show that older men living alone generally have lower health scores than older men co-habiting and that, among older men living alone, lower educational level is associated with lower health scores but also a greater use of free-of-charge health-care services. Health-care professionals conducting preventive home visits consider older men's social needs the most pronounced problem for the men's wellbeing and call for new services to be custom made for them. In this article, we discuss differences between older men living in rural and urban areas and between those who are single, divorced or widowed. We conclude that health and social care systems must differentiate between sub-groups of older men living alone when developing new services and that free-of-charge services, such as general practitioners and home care, should be considered as vehicles for addressing health inequities.

Health profiles and socioeconomic characteristics of nonagenarians residing in Mugello, a rural area in Tuscany (Italy)

Background

Health, as defined by the WHO, is a multidimensional concept that includes different aspects. Interest in the health conditions of the oldest-old has increased as a consequence of the phenomenon of population aging. This study investigates whether (1) it is possible to identify health profiles among the oldest-old, taking into account physical, emotional and psychological information about health, and (2) there are demographic and socioeconomic differences among the health profiles.

Methods

Latent Class Analysis with covariates was applied to the Mugello Study data to identify health profiles among the 504 nonagenarians residing in the Mugello district (Tuscany, Italy) and to evaluate the association between socioeconomic characteristics and the health profiles resulting from the analysis.

Results

This study highlights four groups labeled according to the posterior probability of determining a certain health characteristic: “healthy”, “physically healthy with cognitive impairment”, “unhealthy”, and “severely unhealthy”. Some demographic and socioeconomic characteristics were found to be associated with the final groups: older nonagenarians are more likely to be in worse health conditions; men are in general healthier than women; more educated individuals are less likely to be in extremely poor health conditions, while the lowest-educated are more likely to be cognitively impaired; and office or intellectual workers are less likely to be in poor health conditions than are farmers.

Conclusions

Considering multiple dimensions of health to determine health profiles among the oldest-old could help to better evaluate their care needs according to their health status.

Structure of self-rated health among the oldest old: Analyses in the total population and those living with dementia

No previous study has explored the structure of self-rated health (SRH), a measure holding strong predictive value for future health events, in the oldest old or in individuals with dementia. The aim was to construct a structural equation model of SRH for oldest old in general and for oldest old with dementia, and to explore direct and indirect associations between health-related factors and SRH. Cross-sectional data from the Vitality 90+, a population-based study in the city of Tampere, Finland, was used. Data were gathered by a mailed questionnaire in 2014. Altogether 1299 nonagenarians, of which 408 had self-reported dementia or cognitive decline, were included. Structural equation models were constructed for all participants and separately for participants with dementia. Diseases (heart disease, stroke, diabetes, arthritis, hip fracture, cancer and dementia for the model for all), dizziness, hearing, vision, mobility, activities of daily living, fatigue, depression and SRH were included in the models. Among all participants, fatigue, depression, problems in mobility, dizziness, deficits in vision and heart disease were directly associated with poor SRH. Among participants with dementia, only fatigue, dizziness and deficits in vision were directly associated with poor SRH. Among all participants, dementia and arthritis were indirectly associated with poor SRH through problems in mobility, depression and fatigue. Among the oldest old, the effects of diseases on SRH were mainly manifested through the consequences of diseases, namely fatigue, dizziness, deficits in vision and problems in mobility. Depression has an important direct and indirect role, and dementia and arthritis an important indirect role in the structure of SRH. Dementia weakens many of the direct and indirect associations for SRH.

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First study to explore structure of self-rated health in oldest old and persons with dementia.

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Fatigue, depression, mobility, dizziness, vision and heart disease directly affect health-rating in oldest old.

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Dementia, depression and arthritis affect health rating indirectly through various routes in oldest old.

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Dementia weakens many of the associations between objective indicators of health with self-rated health.

Self-rated health and associated factors among the oldest-old: results from a cross-sectional study in Sweden

BACKGROUND

Very few population-based studies have investigated self-rated health and related factors in the increasing age group 85 years or older. The aim of this study was to examine self-rated health and its association with living conditions, lifestyle factors, physical and mental health problems and functional ability among the oldest-old in the general population in Sweden.

METHODS

The study is cross-sectional and based on 1360 persons, 85 years of age or older, who answered a survey questionnaire sent to a random population sample in 2012 (participation rate 47%). Multivariate logistic regression was used as the statistical method.

RESULTS

The prevalence of good self-rated health was 39% in men and 30% in women. Physical inactivity, impaired physical mobility, pain, anxiety/depression and longstanding illness were independently associated with poorer than good self-rated health, while factors such as gender, age, educational level, cash margin, living alone, social support, smoking, alcohol use, obesity, accidents and impaired vision/hearing were not.

CONCLUSIONS

While a considerable part of the oldest-old assess their health as good, not being physically active and having common health problems such as pain and depression as well as impaired physical mobility are associated with poorer than good self-rated health. This should be considered when planning how to improve and maintain health in the growing population of persons 85 years and older.

Underestimated Health Inequalities Among Older People-A Consequence of Excluding the Most Disabled and Disadvantaged

OBJECTIVES

The present study analyzed whether estimates of health inequalities in old age are sensitive to the exclusion of people living in institutions and nonuse of proxy interviews.

METHOD

Pooled data from the 2004 wave (n = 1,180, aged 69-100, primarily interviewed over the phone) and the 2011 wave (n = 931, aged 76-101, primarily interviewed face-to-face) of the Swedish Panel Study of Living Conditions of the Oldest Old were used to compare absolute and relative differences in disability and mortality between people with compulsory education and people with more than compulsory education.

RESULTS

Both absolute and relative health inequalities would have been underestimated in a survey that excluded institutionalized people and proxy-interviewed community dwellers. The same patterns were found in men and women and regardless of the mode of data collection (telephone or face-to-face interview). The degree of underestimation was lower in those 85 years and older than in those 69 to 84 years.

DISCUSSION

A survey that only includes people who live in the community and can participate without the help of a proxy might give the impression that those with low levels of education have less extensive health disadvantages than they actually have.

Chronic conditions and multimorbidity in population aged 90 years and over: associations with mortality and long-term care admission

BACKGROUND

prevalence of many chronic conditions is rising in the aging population worldwide. However, the long-term impact of these conditions and multimorbidity on other health outcomes in very old age is rarely studied.

METHODS

the data were based on four waves of the Vitality 90+ Study conducted in 2001, 2003, 2007 and 2010. Associations of chronic conditions and multimorbidity with mortality were analysed in a total sample of 2,862 people aged over 90, and associations with long-term care (LTC) admission in a subsample of 1,954 participants living at home in baseline. Risk of death and LTC admission were assessed with Cox and competing risks regression with time-dependent covariates. Population attributable fractions (PAF) for mortality and LTC admission were calculated for chronic conditions based on the regression models.

RESULTS

heart disease, diabetes and dementia predicted mortality in men and women. In addition, depression was associated with increased mortality in women. Parkinson's disease, dementia and hip fracture predicted LTC admission in women. Multimorbidity increased the risk of death and LTC admission in women but not in men. For both genders, dementia had the highest PAF for mortality and LTC admission.

CONCLUSION

heart disease and diabetes are still important predictors of mortality in very old age. However, the role of dementia is pronounced in this age group. Of the studied conditions, dementia is the main contributor both to mortality and LTC admission. Multimorbidity has predictive value concerning both mortality and LTC admission, at least in oldest old women.

Are there educational disparities in health and functioning among the oldest old? Evidence from the Nordic countries

With the ageing of the population and recent pressures on important welfare state arrangements, updated knowledge on the linkage between socioeconomic status and health in old age is pertinent for shedding light on emerging patterns of health inequalities in the Nordic countries. This study examined self-rated health (SRH), mobility and activities of daily living (ADL) according to level of education in the three oldest old age groups 75–84, 85–94, and 95+, in four Nordic countries. Altogether, 6132 individuals from Danish Longitudinal Study of Ageing, Norwegian Life Course, Ageing and Generation study, Swedish Panel Study of Living Conditions of the Oldest Old, the 5-Country Oldest Old (Sweden) and Vitality 90 + Study were analysed. First, associations of education level with SRH, mobility, and ADL were estimated for each individual study by means of age- and gender-adjusted logistic regression. Second, results from individual studies were synthesized in a meta-analysis. Older adults with higher education level were more likely to report good SRH, and they were more often independent in mobility and ADL than those with basic education when all age groups were combined. In mobility and ADL, differences between education groups remained stable across the age groups but for SRH, differences seemed to be weaker in older ages. With only a few exceptions, in all age groups, individuals with higher education had more favourable health and functioning than those with basic education. This study shows remarkable persistence of health and functioning inequalities in the Nordic countries throughout later life.

Gender and Socioeconomic Inequalities in Health at Older Ages Across Different European Welfare Clusters: Evidence from SHARE Data, 2004-2015

This study takes a comparative approach to assess whether the association between socioeconomic status (SES) and health in later life differs by gender in a sample of individuals aged 50 and above living in nine European countries (Austria, Belgium, Denmark, France, Germany, Italy, Spain, Sweden, and Switzerland). We apply linear hybrid (between-within) regression models using panel data (50,459 observations from 13,955 respondents) from five waves of the Survey of Health, Ageing and Retirement in Europe (SHARE) between the years 2004-2015. SES measures included education, income, and wealth. A 40- item Frailty Index (FI) of accumulated deficits, an important indicator of health in older populations, was used as dependent variable. Considering between-effects estimates, our results show that the positive impact of education and wealth on health is stronger for women living in countries where the welfare arrangements are less decommodifying and defamilializing. No such interaction is found for income and for fixed-effects estimates. This study could advance the understanding of gender inequalities in health. Also, such findings can guide future policies devoted at reducing gender and socioeconomic inequalities in health in later life.

Smoking and Physical Inactivity as Predictors of Mobility Impairment During Late Life: Exploring Differential Vulnerability Across Education Level in Sweden

Objectives

To test whether older adults from high and low educational groups are differentially vulnerable to the impact of smoking and physical inactivity on the progression of mobility impairment during old age.

Methods

A nationally representative sample of older Swedish adults (n = 1,311), aged 57-76 years at baseline (1991), were followed for up to 23 years (2014). Multilevel regression was used to estimate individual trajectories of mobility impairment over the study period and to test for differences in the progression of mobility impairment on the basis of smoking status, physical activity status, and level of education.

Results

Compared to nonsmokers, heavy smokers had higher levels and steeper increases in mobility impairment with advancing age. However, there were only small and statistically nonsignificant differences in the impact of heavy smoking on mobility impairment in high versus low education groups. A similar pattern of results was found for physical inactivity.

Discussion

Differential vulnerability to unhealthy behaviors may vary across populations, age, time-periods, and health outcomes. In this study of older adults in Sweden, low and high education groups did not differ significantly in their associations between heavy smoking or physical inactivity, and the progression of mobility impairment.

Socioeconomic status and multimorbidity: a systematic review and meta-analysis

OBJECTIVES

We performed a systematic review to identify, critically appraise and synthesise the existing literature on the association between SEP and multimorbidity occurrence.

METHODS

We searched Medline and Embase from inception to December 2014. Where possible we performed meta-analysis to obtain summary odds ratios (ORs), exploring heterogeneity between studies through sub-group analysis.

RESULTS

We identified 24 cross-sectional studies that largely reported on education, deprivation or income in relation to multimorbidity occurrence. Differences in analysis methods allowed pooling of results for education only. Low versus high education level was associated with a 64% increased odds of multimorbidity (summary OR: 1.64, 95% CI 1.41 to 1.91), with substantial heterogeneity between studies partly explained by method of multimorbidity ascertainment. Increasing deprivation was consistently associated with increasing risk of multimorbidity, whereas the evidence on income was mixed. Few studies reported on interaction with age or sex.

CONCLUSIONS

More methodologically robust studies that address these gaps and investigate alternate measures of social circumstances and environment may advance our understanding of how SEP affects multimorbidity risk. Implications for public health: A deeper understanding of the socioeconomic and demographic patterning of multimorbidity will help identify sub-populations at greatest risk of becoming multimorbid.

Do socioeconomic inequalities in pain, psychological distress and oral health increase or decrease over the life course? Evidence from Sweden over 43 years of follow-up

BACKGROUND

Inequalities over the life course may increase due to accumulation of disadvantage or may decrease because ageing can work as a leveller. We report how absolute and relative socioeconomic inequalities in musculoskeletal pain, oral health and psychological distress evolve with ageing.

METHODS

Data were combined from two nationally representative Swedish panel studies: the Swedish Level-of-Living Survey and the Swedish Panel Study of Living Conditions of the Oldest Old. Individuals were followed up to 43 years in six waves (1968, 1974, 1981, 1991/1992, 2000/2002, 2010/2011) from five cohorts: 1906-1915 (n=899), 1925-1934 (n=906), 1944-1953 (n=1154), 1957-1966 (n=923) and 1970-1981 (n=1199). The participants were 15-62 years at baseline. Three self-reported outcomes were measured as dichotomous variables: teeth not in good conditions, psychological distress and musculoskeletal pain. The fixed-income groups were: (A) never poor and (B) poor at least once in life. The relationship between ageing and the outcomes was smoothed with locally weighted ordinary least squares, and the relative and absolute gaps were calculated with Poisson regression using generalised estimating equations.

RESULTS

All outcomes were associated with ageing, birth cohort, sex and being poor at least once in live. Absolute inequalities increased up to the age of 45-64 years, and then they decreased. Relative inequalities were large already in individuals aged 15-25 years, showing a declining trend over the life course. Selective mortality did not change the results. The socioeconomic gap was larger for current poverty than for being poor at least once in life.

CONCLUSION

Inequalities persist into very old age, though they are more salient in midlife for all three outcomes observed.

Does use of long-term care differ between occupational classes among the oldest old? Vitality 90 + Study

Long-term care (LTC) use increases with ageing due to an age-related increase in disability. Both the levels of disability and social resources vary among socioeconomic groups. The association of socioeconomic status with LTC use is largely unexplored for the oldest old. This study examined how occupational class is associated with LTC use among nonagenarians in the context of universal care coverage. A population-based prospective cohort study with 2862 participants who answered the Vitality 90 + Study surveys in 2001, 2003, 2007, or 2010 in Tampere, Finland, was combined with national register data on LTC use. LTC use in total and separately for publicly and privately provided LTC facilities was assessed in a cross-sectional setting and during the 34-month follow-up by using logistic regression and competing-risks regression methods. Functional status, multimorbidity, family relations, and help at home were controlled. In total or public LTC use, only a few differences between occupational classes were found at baseline. However, upper non-manuals used more private LTC than lower non-manuals (OR 0.54, 95% CI 0.35-0.85), skilled manuals (OR 0.40, 95% CI 0.26-0.62), or housewives (OR 0.40, 95% CI 0.22-0.74). There were no statistically significant differences in entering any kind of LTC after adjustments for all independent variables. During the study period, the share of privately provided care out of all LTC increased and the upper non-manuals no more used private care more than other groups. This study underlines the importance of following the structural changes in LTC provision to guarantee that the need for LTC is met equally for all socioeconomic groups.

Different indicators of socioeconomic status and their relative importance as determinants of health in old age

Background

Socioeconomic status has been operationalised in a variety of ways, most commonly as education, social class, or income. In this study, we also use occupational complexity and a SES-index as alternative measures of socioeconomic status. Studies show that in analyses of health inequalities in the general population, the choice of indicators influence the magnitude of the observed inequalities. Less is known about the influence of indicator choice in studies of older adults. The aim of this study is twofold: i) to analyse the impact of the choice of socioeconomic status indicator on the observed health inequalities among older adults, ii) to explore whether different indicators of socioeconomic status are independently associated with health in old age.

Methods

We combined data from two nationally representative Swedish surveys, providing more than 20 years of follow-up. Average marginal effects were estimated to compare the association between the five indicators of SES, and three late-life health outcomes: mobility limitations, limitations in activities of daily living (ADL), and psychological distress.

Results

All socioeconomic status indicators were associated with late-life health; there were only minor differences in the effect sizes. Income was most strongly associated to all indicators of late-life health, the associations remained statistically significant when adjusting for the other indicators. In the fully adjusted models, education contributed to the model fits with 0–3% (depending on the outcome), social class with 0–1%, occupational complexity with 1–8%, and income with 3–18%.

Conclusions

Our results indicate overlapping properties between socioeconomic status indicators in relation to late-life health. However, income is associated to late-life health independently of all other variables. Moreover, income did not perform substantially worse than the composite SES-index in capturing health variation. Thus, if the primary objective of including an indicator of socioeconomic status is to adjust the model for socioeconomic differences in late-life health rather than to analyse these inequalities per se, income may be the preferable indicator. If, on the other hand, the primary objective of a study is to analyse specific aspects of health inequalities, or the mechanisms that drive health inequalities, then the choice of indicator should be theoretically guided.

Electronic supplementary material

The online version of this article (10.1186/s12939-017-0670-3) contains supplementary material, which is available to authorized users.

Revisiting Mobility Limitations of Seniors in Singapore, 1995 to 2011

Singapore’s life expectancy at birth and at age 65 continues to improve. Although this is a positive development, it is necessary to understand how much of this increased life expectancy is spent with and without mobility limitations. This research uses the latest round of the National Survey of Senior Citizens to examine the situation in 2011 and the possible changes that may have occurred since the last survey in 2005. It seeks to add to earlier research in this area in Singapore and uses the prevalence-based Sullivan method to calculate lifetime free of mobility limitations for this population. Pertinent conclusions drawn from this research include evidence pointing to changing prevalence rates among the older adult population and observations that suggest the possibility of a compression of morbidity for this population in 2011 compared with an expansion of morbidity observed in the previous survey conducted in 2005. The research also shows that women continue to be disadvantaged as they age compared with men.

Coexisting Disadvantages in later Life: Demographic and Socio-Economic Inequalities

In this study, we aimed to identify which of certain demographic and socio-economic groups in the oldest part of the population that have an increased probability of experiencing simultaneous disadvantages in different life domains - here termed coexisting disadvantages. To do so, we compared analyses of coexisting disadvantages, measured as two or more simultaneous disadvantages, with analyses of single disadvantages and specific combinations of disadvantages. Indicators of physical health problems, ADL limitations, psychological health problems, limited financial resources, and limited social resources were included. We used nationally representative data from 2011 on people aged 76 and older in Sweden (n = 765). Results showed that coexisting disadvantages were associated with specific demographic and socio-economic groups, particularly certain marital status groups. Moreover, the differences between the demographic and socio-economic groups were only found for those who reported coexisting disadvantages, and not for those who reported only one disadvantage, which suggests that demographic and social factors become more important as disadvantages compound. Further, we analysed pairwise combinations of disadvantages. We found that different combinations of disadvantages tended to be associated with different groups, information useful from a social planning perspective since different combinations of disadvantages may imply different needs for help and support.

Socio-economic position and subjective health and well-being among older people in Europe: a systematic narrative review

OBJECTIVES

Previous studies of older European populations have established that disability and morbidity vary with indicators of socio-economic position (SEP). We undertook a systematic narrative review of the literature to ascertain to what extent there is evidence of similar inequalities in the subjective health and well-being of older people in Europe.

METHOD

Relevant original research articles were searched for using Medline, Global Health, Embase, Social Policy and Practice, Cinahl, Web of Science and International Bibliography of the Social Sciences (IBSS). We included studies of SEP and indicators of subjective health and well-being (self-rated health; life satisfaction; quality of life) conducted since 1991 using population-based samples of older people in Europe and published 1995-2013.

RESULTS

A total of 71 studies were identified. Poorer SEP was associated with poorer subjective health and well-being. Associations varied somewhat depending on the SEP measure and subjective health and well-being outcome used. Associations were weaker when social support and health-related behaviours were adjusted for suggesting that these factors mediate the relationship between SEP and subjective health and well-being. Associations tended to be weaker in the oldest age groups. The patterns of associations by gender were not consistent and tended to diminish after adjusting for indicators of health and life circumstances.

CONCLUSION

The results of this systematic narrative review of the literature demonstrate the importance of social influences on later life subjective health and well-being and indicate areas which need further investigation, such as more studies from Eastern Europe, more longitudinal studies and more research on the role of mediating factors.

Unobserved Heterogeneity of Frailty in the Analysis of Socioeconomic Differences in Health and Mortality

The concepts of unobserved frailty and selection have been extensively analyzed with respect to phenomena like mortality deceleration at old ages and mortality convergence or cross overs between populations (for example American black and white populations, men and women). Despite the long-time observation of converging mortality risks in differential socioeconomic mortality research, the interest in the connection between frailty, selection, and health and mortality inequalities over a life course approach has increased only recently. This overview of the literature summarizes the main concepts of unobserved frailty and socioeconomic differences in mortality and how frailty and selection relate to these differences at old ages. It then reviews the evidence coming from the existing studies. Although the number of studies is still limited, the body of research on unobserved frailty and socioeconomic inequalities in health and mortality in a life course approach is growing. The results, however, are contradictory, and whether selection plays a major role in shaping the observed socioeconomic mortality patterns at old ages is still controversial.

Cardiometabolic and Inflammatory Biomarkers as Mediators Between Educational Attainment and Functioning at the Age of 90 Years

BACKGROUND

Low socioeconomic status is associated both with poorer functioning and elevated levels of inflammatory and cardiometabolic biomarkers; however, knowledge of such relations for the oldest old is limited. Our aim was to study whether education is associated with cardiometabolic (cholesterol levels, body mass index, and leptin) and inflammatory (C-reactive protein, interleukin-6, interleukin-1Ra) biomarkers for the 90-year-olds who participated in the Vitality 90+ study. In addition, we investigated whether these biomarkers explain educational inequalities in functioning.

METHODS

All persons in Tampere, Finland, who were born in 1909 or 1910, were invited to participate, irrespective of their health status or dwelling place. The sample consisted of 262 participants who went through the home interview and blood tests. The socioeconomic status indicator used was the highest education, and physical functioning was assessed using the Barthel index. The association of education with individual and combined biomarker scores, and with functioning, was analyzed cross-sectionally applying generalized linear models.

RESULTS

The low- and mid-level-educated participants had greater odds of belonging to the high risk group in cardiometabolic biomarkers than did the high-educated. Differences were statistically significant in three individual biomarkers (high-density lipoprotein-cholesterol, leptin, and body mass index) and in a cardiometabolic score. There were no educational differences in inflammatory biomarkers. When all biomarkers were combined, they mediated educational differences in functioning on an average of 23%. After controlling for smoking, alcohol use and diseases, biomarkers mediated part of the differences between the mid-level- and high-educated.

CONCLUSIONS

High education was associated with better cardiometabolic biomarkers and functioning among the 90-year-olds. In part, educational inequalities in functioning were explained by cardiometabolic biomarkers.

‘Old but not that old’: Finnish community-dwelling people aged 90+ negotiating their autonomy

Autonomy is a pervasive concept in Western lifestyles today. However, people in the fourth age are assumed not to be autonomous but dependent on other people. The data of this study consisted of interviews with Finnish community-dwelling 90–91-year-old people. The study aim was to examine how these people see their own autonomy in their everyday lives. The analysis was based on membership categorisation analysis. Our respondents considered their autonomy through three distinct themes. Functional ability was considered in terms of being physically capable of managing daily tasks. Independence in decision making was based on material and financial self-sufficiency and on the respondents' supposition that they were capable of making decisions due to an absence of memory disorders. Additionally, autonomy was considered as contesting norms of age-appropriateness. Among respondents, chronological age seemed to have been replaced by functional and cognitive ability as a definer of categorisations; age-others became ability-others. Our study revealed that the perceptions of autonomy also included gendered features as they were linked with differing gendered ideals, roles and life domains of women and men. The results highlight the internal diversity among the oldest old and challenge the third/fourth age division. Instead, they suggest the existence of a certain ‘grey area’ within old age, and urge an analysis on the subtle meaning making involved in older people's constructions of age-categorisations.

Is socioeconomic status a predictor of mortality in nonagenarians? The vitality 90+ study

BACKGROUND

socioeconomic inequalities in mortality are well-known in middle-aged and younger old adults, but the situation of the oldest old is less clear. The aim of this study was to investigate socioeconomic inequalities for all-cause, cardiovascular and dementia mortality among the people aged 90 or older.

METHODS

the data source was a mailed survey in the Vitality 90+ study (n = 1,276) in 2010. The whole cohort of people 90 years or over irrespective of health status or dwelling place in a geographical area was invited to participate. The participation rate was 79%. Socioeconomic status was measured by occupation and education, and health status by functioning and comorbidity. All-cause and cause-specific mortality was followed for 3 years. The Cox regression, with hazard ratios (HR) and 95% confidence intervals (CI), was applied.

RESULTS

the all-cause and dementia mortality differed by occupational class. Upper non-manuals had lower all-cause mortality than lower non-manuals (HR: 1.61; 95% CI: 1.11-2.32), skilled manual workers (HR: 1.56 95% CI: 1.09-2.25), unskilled manual workers (HR: 1.88; 95% CI: 1.20-2.94), housewives (HR: 1.77 95% CI: 1.15-2.71) and those with unknown occupation (HR: 2.33; 95% CI: 1.41-3.85). Inequalities in all-cause mortality were largely explained by the differences in functioning. The situation was similar according to education, but inequalities were not statistically significant. Socioeconomic differences in cardiovascular mortality were not significant.

CONCLUSIONS

socioeconomic inequalities persist in mortality for 90+-year-olds, but their magnitude varies depending on the cause of death and the indicator of socioeconomic status. Mainly, mortality differences are explained by differences in functional status.