Do successful agers live longer? The Vitality 90+ study

A Grounded Theory on Interment Stress Among Filipino Older Adults

Older adults deal with age-related challenges concerning death and dying. Their cognitive and emotional interactions on burial arrangement, funeral expenses and body disposition encapsulate interment stresses. This grounded theory research underscored the development of interment stress among Filipino older adults (n = 26). A three-stage (Yielding, Inflowing and Discharging) model, 'The spillway for cognitive and emotional interactions of interment stress' represented interment stress as a cognitive and emotional interactive process experienced by older adults. The emergent model may be vital to offer death awareness and preparation, and a basis for creating appropriate programs to cope with the interment stress among older adults. This interment stress framework may also contribute to geriatric and gerontological psychology focused on promoting the older adults' psychological well-being and assist in achieving harmonious aging. Ultimately, the findings hope to achieve advances on individuals' and organizations' management of older adults' interment stress within personal, social and professional context.

Predicting successful ageing among older adults seems possible even as far as two decades ahead

BACKGROUND

Successful ageing is the term often used for depicting exceptional ageing and can be measured with multidimensional models including physical, psychological and social wellbeing. The aim of this study was to test multidimensional successful ageing models to investigate whether these models can predict successful ageing, and which individual subcomponents included in the models are most significantly associated with successful ageing.

METHODS

Successful ageing was defined as the ability to live at home without daily care at the age of 84 years or over. Data on the participants' physical, psychological and social wellbeing were gathered at baseline and the follow-up period was 20 years. Four successful ageing models were constructed. Backward stepwise logistic regression analysis was used to identify the individual subcomponents of the models which best predicted successful ageing.

RESULTS

All successful ageing models were able to predict ageing successfully after the 20-year follow-up period. After the backward stepwise logistic regression analysis, three individual subcomponents of four models remained statistically significant and were included in the new model: having no heart disease, having good self-rated health and feeling useful. As a model, using only these three subcomponents, the association with successful ageing was similar to using the full models.

CONCLUSIONS

Multidimensional successful ageing models were able to predict successful ageing after a 20-year follow-up period. However, according to the backward stepwise logistic regression analysis, the three subcomponents (absence of heart disease, good self-rated health and feeling useful) significantly associated with successful ageing performed as well as the multidimensional successful ageing models in predicting ageing successfully.

Does Active Aging Reduce Mortality Risk Among Older Adults? A Survival Analysis in Malaysia

Active aging is important for promoting the health, wellbeing, and participation of older adults. This study investigated the association between active aging and mortality risk among 2 230 respondents aged 60 and older. Principal component analysis extracted a five-factor structure from 15 indicators of active aging. The mean active aging score was 55.57 and the median was 53.33. The Kaplan-Meier curve showed that individuals with active aging scores of 53.33 and above had significantly longer survival than those below the median. Cox regression analysis indicated the significance of active aging in reducing mortality risk by 2.5% after adjusting for sex, marital status, age, ethnicity, chronic diseases, and risk factors. The active aging approach comprising health, economic, and social factors is crucial in improving survival among older adults. Hence, policies and programs that promote active aging should be encouraged to enhance the health and wellbeing of older adults and their engagement in society.

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.

12-month survival in nonagenarians inside the Mugello study: on the way to live a century

Background

Life expectancy has increased over the last century and a growing number of people is reaching age 90 years and over. However, data on nonagenarians’ health trends are scarce due to difficulties in investigating this specific population. This study aims to identify risk factors for one-year mortality in nonagenarians using data collected within the “Mugello Study”.

Methods

Complete information on sociodemographic data, cognitive and functional status, lifestyle, medical history, and drug use was collected from 433 nonagenarians, as well as information about survival after 1 year from the interview.

Results

The sample included 314 women (72.5%) and 119 men (27.5%) with a median age of 92 years (range 90-99 years). The mortality rate was 20.3% (88 deaths). After adjustment for age and sex, a significantly higher risk of dying within 12 months was observed in individuals with more severe cognitive impairment (HR = 5.011, p < 0.001), more severe disability in basic activities of daily living (HR = 4.193, p < 0.001), sedentary lifestyle (HR = 3.367, p < 0.001), higher number of drugs assumed (HR = 1.118, p = 0.031), and kidney dysfunction (HR = 2.609, p = 0.004). When all the variables were included in the analysis, only older age (HR = 1.079, p = 0.048), lower cognitive function (HR = 2.859, p = 0.015), sedentary lifestyle (HR = 2.030, p = 0.026), and kidney dysfunction (HR = 2.322, p = 0.018) remained significantly associated with reduced survival.

Conclusions

Data from the Mugello study support the hypothesis that survival at 12 months in nonagenarians is not a stochastic process and that older age, reduced cognitive function, sedentary lifestyle, and the presence of kidney dysfunction are associated with mortality.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-02908-9.

The Relationship Between Successful Aging and All-Cause Mortality Risk in Older Adults: A Systematic Review and Meta-Analysis of Cohort Studies

Background

This meta-analysis aimed to explore the effect of successful aging (SA) on all-cause mortality risk in older people to provide a theoretical basis for promoting SA.

Methods

PubMed, Embase, CINAHL, CNKI, and WanFang databases (inception to March 4, 2021) were searched for cohort studies to evaluate the relationship between SA and mortality in older people. A random-effects model was used to synthesis hazard ratio and 95% confidence intervals. Quality assessment was performed using the Newcastle–Ottawa scale. All statistical analyses were conducted in STATA 16.0.

Results

In total, 21,158 older adults from 10 studies were included in the current systematic review and meta-analysis. The SA group tended to have 50% lower risk of all-cause mortality than the non-SA group (pooled hazard ratio = 0.50, 95% confidence intervals: 0.35–0.65, P < 0.001; I² = 58.3%). The risk of all-cause mortality in older people increased by 17% for each unit increment in the healthy aging index (HAI) (I² = 0%, P = 0.964). Compared with the reference group (HAI 0-2), older people with HAI 3-4, HAI 5-6, and HAI 7-10 had 1.31-fold, 1.73-fold, and 2.58-fold greater risk of all-cause mortality, respectively. Subgroup analysis did not reveal possible sources of heterogeneity.

Conclusions

This meta-analysis suggests that older adults with SA reduced the risk of all-cause mortality by 50%. However, few interventional studies have been conducted. Therefore, healthcare providers must be aware of the relationship between SA and mortality risk and actively develop intervention methods for helping old people achieve SA.

Stratification in health and survival after age 100: evidence from Danish centenarians

BACKGROUND

The existence of a super-select group of centenarians that demonstrates increased survivorship has been hypothesized. However, it is unknown if this super-select group possesses similar characteristics apart from extreme longevity.

METHODS

In this study, we analyse high-quality health and survival data of Danish centenarians born in 1895, 1905 and 1910. We use Latent Class Analysis to identify unobserved health classes and to test whether these super-select lives share similar health characteristics.

RESULTS

We find that, even after age 100, a clear and distinct gradient in health exists and that this gradient is remarkably similar across different birth cohorts of centenarians. Based on the level of health, we identify three clusters of centenarians - robust, frail and intermediate - and show that these groups have different survival prospects. The most distinctive characteristic of the robust centenarians is the outperformance in different health dimensions (physical, functional and cognitive). Finally, we show that our health class categorizations are good predictors of the survival prospects of centenarians.

CONCLUSIONS

There is a clear stratification in health and functioning among those over 100 years of age and these differences are associated with survival beyond age 100.

The WHO active ageing pillars and its association with survival: Findings from a population-based study in Spain

BACKGROUND

The World Health Organization's active ageing model is based on the optimisation of four key "pillars": health, lifelong learning, participation and security. It provides older people with a policy framework to develop their potential for well-being, which in turn, may facilitate longevity. We sought to assess the effect of active ageing on longer life expectancy by: i) operationalising the WHO active ageing framework, ii) testing the validity of the factors obtained by analysing the relationships between the pillars, and iii) exploring the impact of active ageing on survival through the health pillar.

METHODS

Based on data from a sample of 801 community-dwelling older adults, we operationalised the active ageing model by taking each pillar as an individual construct using principal component analysis. The interrelationship between components and their association with survival was analysed using multiple regression models.

RESULTS

A three-factor structure was obtained for each pillar, except for lifelong learning with a single component. After adjustment for age, gender and marital status, survival was only significantly associated with the physical component of health (HR = 0.66; 95% CI = 0.47-0.93; p = 0.018). In turn, this component was loaded with representative variables of comorbidity and functionality, cognitive status and lifestyles, and correlated with components of lifelong learning, social activities and institutional support.

CONCLUSION

According to how the variables clustered into the components and how the components intertwined, results suggest that the variables loading on the biomedical component of the health pillar (e.g. cognitive function, health conditions or pain), may play a part on survival chances.

Successful Present, Successful Future? Assessment of a Nonbinary Model of Successful Aging

PURPOSE

Though many models of successful aging exist, there is a need for assessments of the empirical validity of these models and their measures. This study tests the validity of the multidimensional model of successful aging presented by Young and colleagues.

DESIGN AND METHODS

Expanding on an earlier validation study, this analysis uses 1,211 respondents from the Americans' Changing Lives (ACL) study to determine predictive and discriminant validity. Respondents were surveyed in 1986, 1989, and 1994, providing an opportunity to assess if a baseline 5-point successful aging scale is associated with present and future outcomes. Validators include self-report items and interviewer recorded observations. In addition, a survival analysis of 24 years of ACL mortality data is conducted to confirm that baseline successful aging decreases risk of all-cause mortality.

RESULTS

Results illustrate that, in some cases as far as 8 years in the future, low successful aging scores correspond with higher risk of future hospitalization and depressive episodes, interviewer observed difficulty moving around, low self-rated health, and decreased life satisfaction. Lowest scorers also had a 356% higher risk of mortality compared to individuals with the highest scores.

IMPLICATIONS

These findings provide further evidence that Young and colleagues' successful aging construct is empirically valid and could be applied in future research and practice. Most respondents had middling scores, suggesting that future analyses should be cautious about concealing heterogeneity by operationalizing successful aging as a binary outcome.

Determinants and indicators of successful ageing associated with mortality: a 4-year population-based study

Successful aging may be a solution to the major challenges that population aging poses to healthcare systems, financial security, and labor force supply. Hence, we studied the value of factors discovered by exploratory factor analysis in predicting four main indicators of successful aging, and their association with mortality. We followed-up a nationally representative sample of 1284 older adults for a median of 50 months. Successful aging was defined by fast walking, independence, emotional vitality, and self-rated health. Exploratory factor analysis revealed five determinants: physical activity, life satisfaction and financial status, health status, stress, and cognitive function. Physical activity and health status were significant factors in living independently. Life satisfaction and financial status were associated with walking speed. Stress was solely associated with emotional vitality. Life satisfaction and financial status, and health status, were important predictors of self-rated health. Compared to people without any successful aging indicators, those with one, two, three, or four showed dose-dependent lessening of mortality risk, with respective hazard ratios of 0.39 (95% CI 0.25-0.59), 0.29 (95% CI 0.17-0.50), 0.23 (95% CI 0.11-0.51), and 0.09 (95% CI 0.01-0.66). These associations were stronger in males, older adults, smokers, and drinkers, than in their counterparts.

Biological, Psychological, and Social Predictors of Longevity Among Utah Centenarians

Studies of longevity among centenarians examine biological, psychological, and social factors, yet few consider these components concurrently. This study explores such factors individually and collectively, as they are related to days lived past the age of 100 years. Data from 268 family members of centenarians identified in the State of Utah between 2008 and 2015 were used in negative binomial models predicting number of days lived among the centenarians. Findings suggested that sleep latency (biological), life satisfaction (psychological), and attachment closeness (social) were predictive factors of more days lived within individual models. When considered together, sleep latency and life satisfaction remained significant predictors of days lived. Although biological factors are commonly considered in relation to longevity, this study further indicates that psychological and social factors may play important roles in life expectancy. Further examination is needed to explore how these factors link additionally to active life expectancy.

Successful Aging as a Predictor of Long-Term Care Among Oldest Old: The Vitality 90+ Study

AIM

The aim of the study was to investigate whether successful aging (SA) predicts entering long-term care (LTC) among nonagenarians.

METHODS

Data originated from the linkage of the Vitality 90+ Study surveys with register data from Finnish Population Register and Care Registers. Altogether 1,966 community-dwelling individuals were followed for 2 years and 1,354 individuals for 5 years. Four models of SA were constructed by varying combinations of physical, psychological, and social components. Competing risk regression analysis was used.

FINDINGS

The incidence rate for entering LTC was lower for successful agers. Three models of SA presented a significantly decreased risk for entering LTC in the whole group and in women. The impact of SA was attenuated when living alone, needing help, and the year of participation were adjusted for, but was still significant for Model 3.

CONCLUSION

Nonagenarians who meet the multidimensional criteria of SA are less likely to enter LTC than those aging less successfully.

Health, frailty and disability after ninety: Results of an observational study in France

BACKGROUND

In spite of their increasing demographic weight, health characteristics of the oldest old remain poorly described in epidemiological studies.

OBJECTIVE

To describe the health of people aged 70 years and over included in the SIPAF study, and to compare the prevalence of health indicators including successful aging, frailty, and disability between three age groups including the oldest old.

METHODS

The study population is composed of 2350 retired people recruited between 2008 and 2010, of whom 512 are aged 90 and over (21.8%). A comprehensive geriatric assessment was performed at home by trained nurses. The prevalence of health and functional indicators, as well as the distribution of people among successful ageing, frailty, and disability, were described by age group (70-79, 80-89, 90+) and sex.

RESULTS

Compared to their younger counterparts, people aged 90 years and over were more likely to experience functional limitations, sensory impairment, cognitive impairment, poor mood, and frailty. One third of the nonagenarians needed help in at least one basic activity of daily living and 25% met the frailty criteria. In contrast, the prevalence of most chronic diseases did not increase after ninety. Successful ageing concerned 9% of the oldest old. Women were less likely to experience successful ageing and more likely to be frail or dependent.

CONCLUSION

This study shows the diversity of health states in very old age and points out that one quarter of the people aged 90 and over said frail are likely to take advantage of preventive actions of disability.