Retirement Survey Research Articles

Extreme temperatures and morbidity in old age in Europe

Understanding the relationship between extreme temperatures and health among older adults is of paramount importance for public health in ageing societies. This study aims to enhance our understanding of the impact of extreme temperatures on morbidity, i.e. the risk of being hospitalised, using medications for heart conditions, and experiencing the onset of cardiovascular diseases (CVDs) among older adults in Europe (65+ years old) using five waves from the Survey of Health, Ageing and Retirement in Europe (SHARE, 2004–2015). It also explores heterogeneity in this impact depending on an array of factors that affect exposure and vulnerability to climate, including geographical location, gender, age, educational level, having a partner/child and living in an urban or a rural area. Results from individual fixed-effects models show that extremely cold temperatures increase the risk of being hospitalised and suffering from CVDs, while heat exposure has no noteworthy effect. Broken down by geographical location, the results indicate that one additional extremely cold day influences the risk of hospitalisation in the coldest and the warmest European regions, while extreme heat influences this risk in the warmest European regions. Finally, the oldest old and low educated individuals appear to be the most vulnerable social groups. The study concludes by discussing the advantages and the limitations of using survey data to study climate and health, and the strategies suggested by the relevant literature to prevent temperature-related illness.

A Longitudinal Investigation of the Association Between Stroke and Loneliness.

The present research examined associations between stroke and long-term trajectories of loneliness. We conducted secondary analyses in 3 large representative panel studies of adults 50 years and older in the United States, Europe, and Israel: the English Longitudinal Study of Aging (ELSA; analytic N = 14,992); the Survey of Health, Aging, and Retirement in Europe (SHARE; analytic N = 103,782); and the Health and Retirement Study (HRS; analytic N = 22,179). Within each sample, we used discontinuous growth curve modeling to estimate loneliness trajectories across adulthood and the impact of stroke on loneliness trajectories. Across all 3samples, participants who experienced stroke reported higher levels of loneliness relative to participants who did not experience stroke. In ELSA and HRS (but not SHARE), loneliness levels were higher after stroke onset relative to before stroke onset. This research adds to a growing body of evidence demonstrating elevated loneliness among stroke survivors and highlights the need for interventions to increase social connectedness after stroke.

Social participation, loneliness, and physical inactivity over time: evidence from SHARE.

We aimed to explore the reciprocal effects of social participation, loneliness, and physical inactivity over a period of 6 years in a representative sample of European adults over 50 years old. A longitudinal study with a six-year follow-up period was conducted. Four waves of the Survey of Health, Ageing and Retirement in Europe project were used. This study includes 64,887 participants from Europe and Israel, who were aged 50 or older at the first time. The relationship between participation in social activities, loneliness and physical inactivity was analyzed, controlling for age, gender, and disability. A series of cross-lagged panel models (CLPMs) were applied to analyze the relationships among these variables. A CLPM with equal autoregressive cross-lagged effects across waves was the best fit to the data (χ2 = 7137.8, CFI = .972, RMSEA = .049, SRMR = .036). The autoregressive effects for the three variables showed high stability across waves, and all the cross-lagged effects in the model were statistically significant. Social activity and physical inactivity maintained a strong negative cross-lagged effect, while their cross-lagged effects on loneliness were comparatively smaller. Social activity had a positive cross-lagged effect on loneliness, while physical inactivity had a negative cross-lagged effect on loneliness. These findings highlight the importance of promoting physical activity and social participation and addressing loneliness through targeted interventions in older adults.

Portfolio Allocation, Risk Aversion, and Digital Literacy Among the European Elderly

Abstract This study contributes to the literature on portfolio choices of elder persons by examining the influence of digital literacy on the propensity to own risky assets, when considering individual- and country-level variables. Our empirical analysis is based on data from Survey of Health, Ageing and Retirement in Europe and a set of macroeconomic indicators retrieved from international databases. To capture the impact of individual- and country-level factors, we have utilized multilevel models with a two-level sampling design. The results obtained provide evidence for a positive relationship between individual- and country-level digital literacy and portfolio riskiness, as well as heterogeneity in the portfolio choices of older individuals across the European Union (EU) countries. In addition, age is found to influence differently the portfolio riskiness of elder persons across the EU countries. Bridging the digital divide may provide access to balanced-risk portfolios for elderly persons.

Sex differences in cognitive decline among middle-aged and older adults: a cohort study in Europe.

Previous studies on sex differences in cognitive decline provide inconsistent findings, with many European countries being underrepresented. We determined the association between sex and cognitive decline in a sample of Europeans and explored differences across birth cohorts and regions. Participants 50+ years old enrolled in the Survey of Health, Ageing and Retirement in Europe had their cognition measured by tests of immediate recall, delayed recall and verbal fluency biennially up to 17years of follow-up (median 6, interquartile range 3-9years). We used linear mixed-effects models to assess the relationship between sex and the rate of cognitive decline, adjusting for sociodemographic and health-related characteristics. Of 66,670 participants (mean baseline age 63.5 ± standard deviation 9.4), 55% were female. Males and females had similar rates of decline in the whole sample in immediate recall (beta for interaction sex × time B = 0.002, 95% CI -0.001 to 0.006), delayed recall (B = 0.000, 95% CI -0.004 to 0.004), and verbal fluency (B = 0.008, 95% CI -0.005 to 0.020). Females born before World War II had a faster rate of decline in immediate recall and delayed recall compared to males, while females born during or after World War II had a slower rate of decline in immediate recall. Females in Central and Eastern Europe had a slower rate of cognitive decline in delayed recall compared to males. Our study does not provide strong evidence of sex differences in cognitive decline among older Europeans. However, we identified heterogeneity across birth cohorts and regions.

Chronic and transient loneliness in western countries: risk factors and association with depression. A follow-up study.

IntroductionWhile transient loneliness refers to feelings that last for a short time (less than two years), chronic loneliness alludes to feelings that last more than two years. Transient loneliness can appear after stressful life events such as retirement and loss of close social connections whereas chronic loneliness is more strongly related to maladaptive social cognition, poor social support, and lack of intimate relationships. In comparison to transient loneliness, chronic loneliness is more strongly linked to mental health problems, particularly the incidence and recurrence of depression. Therefore, understanding the specific risk factors for both types of loneliness would be of great utility in mitigating their impact on mental health.ObjectivesOur aim was to test distinct measures and risk factors for chronic and transient loneliness as well as cross-sectional and longitudinal associations of transient and chronic loneliness with depression.MethodsResponses from participants in Wave 5 (T1, 2013) and Wave 6 (T2, 2015) of The Survey of Health, Ageing and Retirement in Europe (SHARE) (N=45,490) were analyzed. The existence of clinically significant symptoms of depression was defined as reporting a value≥4 on the Euro-D scale. Loneliness was measured through 3-item loneliness scale and a single question. Both measures were tested in separate logistic regression models to identify risk factors for transient (loneliness at T1 but not at T2) and chronic loneliness (loneliness at both time points) as well as their impact on depression.ResultsBetween 47% and 40% of the cases of loneliness became chronic, according to the UCLA scale and the single question, respectively. Risk factors for both loneliness courses were being female, not being married, having a low educational level, having a poor physical health, having a poor social network and living in a culturally individualistic country. Risk factor for chronic loneliness were stronger, particularly those related to health status and social networks. Chronic loneliness showed also a strong association with depression both cross-sectionally and longitudinally, while transient loneliness showed a weaker cross-sectional association and markedly lower probabilities in the longitudinal association.ConclusionsRisk factors for chronic loneliness and measures of the temporal dimension of loneliness should be considered in psychosocial interventions designed to prevent mental disorders.Disclosure of InterestNone Declared

Time, age, gender and cultural measurement invariance of the CASP-12, a measure of psychological quality of life in adulthood.

Whereas Quality of Life in older populations has long been conceptualized in regards to health or illness, the Control, Autonomy, Self-Realization and Pleasure scale (CASP-12) focuses on the positive facets of aging. Although the CASP is a widely used scale, its measurement invariance has seldom been examined. The present study aims to ascertain the measurement invariance of the CASP-12 over a period of 10years and between age, culture and gender. Secondary data analyses were conducted on the longitudinal data collected in four waves between 2006 and 2016-2017 of the Survey of Health, Ageing and Retirement in Europe study (SHARE). The factorial validity of the CASP-12 was examined and its measurement invariance was tested with a sample of 3684 men and 4955 women aged 30-99years, coming from 10 different European countries. Results showed a strong theoretical and empirical dimensionality of the CASP-12, a well as invariance of time (10years), age and culture. It was also found that the scale is gender invariant at the strict level. These results were replicated with two more waves of SHARE, measured six years apart. This study replicates the CASP-12 dimensional structure, factorial structure and factor loadings. The scale has demonstrated to be a reliable and valid measurement of the positive aspects of quality of life to be used across time, age, gender and culture. The Autonomy dimension of the scale warrants further investigation.

Is the association between long-term care and subjective well-being socio-economically stratified? Evidence from Europe

ABSTRACT Informal and formal care receipt can affect the overall subjective well-being of care recipients. While much attention has been devoted to the mechanisms by which care use relates to subsequent well-being, no previous research has examined socio-economic stratification in this association. This question is important given that the proportion of disabled older adults relying exclusively on informal caregivers is expected to rise, especially among lower socio-economic status (SES) groups. This study examines SES gradients in the associations of informal and formal care use with subjective well-being, and across four care contexts (Northern, Western, Southern and Eastern Europe) using data on functionally impaired Europeans aged 50 + from the Survey of Health, Ageing & Retirement in Europe (n = 6,012). We investigate how wealth and education moderate the associations between take-up of informal and formal care and changes in subjective well-being (i.e. quality of life and depressive symptoms). We also investigate whether this relationship differs by care context. We find little evidence of SES differences in the association between the onset of care and subjective well-being regardless of the care context. We interpret our findings in light of previous theory and derive implications for future research on the relationship between care receipt and well-being.

Trajectories of job resources and the timing of retirement

Abstract Job resources benefit and motivate workers and, therefore, facilitate longer working lives. Yet, little is known about how job resources develop over time and how, in turn, trajectories of job resources are associated with retirement timing. Accordingly, this study examines job resource trajectories of older workers and to what extent these trajectories are related to when people retire. Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE), growth mixture models are conducted to examine the trajectory of three job resources, namely autonomy, skill development opportunities and recognition, from age 50 until workers retired or dropped out of the survey. Four trajectories of job resources are found: stable high resources, stable low skill development opportunities, stable low recognition and stable low resources. The results of the subsequent event history analysis of retirement timing show that older workers with trajectories of job resources characterized by stable low recognition and stable low resources are at higher risk of earlier retirement compared to those with other trajectories. The findings shed light on the importance of job resource trajectories for promoting longer working lives.

Biomarkers of Physical and Mental Health for Prediction of Parkinson's Disease: A Population-Based Study from 15 European Countries

Early diagnosis of Parkinson's disease (PD) is critical for optimal treatment. However, the predictive potential of physical and mental health in PD is poorly characterized. We evaluated the potential of multiple demographic, physical, and mental factors in predicting the future onset of PD in older adults aged 50 years or older from 15 European countries. Individual study participants were followed over four waves of the Survey of Health, Ageing, and Retirement in Europe (SHARE) from 2013-2020. Of 57,980 study participants, 442 developed PD during the study period. We identified male sex and advancing age from the sixth decade of life onward as significant predictors of future PD. Among physical factors, a low handgrip strength (HGS; men <27 kg, women <16 kg), being bothered by frailty, and recent falls were significantly associated with future PD. Among mental factors, a higher depression (Euro-D depression score >6) emerged as an independent predictor of future PD. Finally, the presence of hypertension or Alzheimer's disease (AD) increases the risk of future PD. Altogether, male sex, advancing age, low HGS, frailty, depression, hypertension, and AD were identified as critical risk factors for future PD. Our results may be useful in the early identification and treatment of populations at risk for PD.

Healthy Lifespan Statistics Derived From Cross-Sectional Prevalence Data Using the Sullivan Method are Informative Summary Measures of Population Health

Health expectancy (HE), commonly derived from cross-sectional prevalence data using the Sullivan method, serves as the most frequently used summary measure of population health. Like lifespan distribution statistics, which are often discussed alongside life expectancy (LE) in demographic studies, analogous statistics on healthy lifespans can provide valuable information on population health. We examine whether healthy lifespan distribution statistics beyond HE can be estimated based on cross-sectional prevalence data and the life table, the data inputs of the Sullivan method. To do so, we treat the Sullivan method as an extension of the stationary population model to health and distinguish between health conditions with and without recovery from the state of decreased health. Our empirical demonstration is based on the prevalence of chronic diseases in selected European countries in 2017 from the Survey of Health, Ageing and Retirement in Europe (SHARE), as well as on life tables from EUROSTAT. We find that the Sullivan method, when considered as an extension of the stationary population model to health, allows for the estimation of a healthy survival distribution and its statistics, beyond HE, for health characteristics with no recovery from the state of decreased health. We show that for such health conditions, the method requires that the number of persons in full health in a stationary population does not increase with age. We argue that for such health dimensions, HE conditional on being in good health at the life table radix age is of relevance for health policy interventions. In our empirical application, we show that the conditional and unconditional measures of HE can give substantially different pictures of population health. Furthermore, we show that across European countries, in contrast to the negative relationship between LE and lifespan inequality, higher HE is associated with greater inequality in healthy years lived when conditional on being healthy at age 50. Overall, the Sullivan method, when considered as an extension of the stationary population model, proves to be a valuable tool for deriving summary statistics of population health beyond HE, which are highly relevant to public policy. * This article belongs to a special issue on “Levels and Trends of Health Expectancy: Understanding its Measurement and Estimation Sensitivity”.

Performance of probable dementia classification in a European multi-country survey

Feasibility constraints limit availability of validated cognitive assessments in observational studies. Algorithm-based identification of ‘probable dementia’ is thus needed, but no algorithm developed so far has been applied in the European context. The present study sought to explore the usefulness of the Langa–Weir (LW) algorithm to detect ‘probable dementia’ while accounting for country-level variation in prevalence and potential underreporting of dementia. Data from 56 622 respondents of the Survey of Health, Ageing and Retirement in Europe (SHARE, 2017) aged 60 years and older with non-missing data were analyzed. Performance of LW was compared to a logistic regression, random forest and XGBoost classifier. Population-level ‘probable dementia’ prevalence was compared to estimates based on data from the Organisation for Economic Co-operation and Development. As such, application of the prevalence-specific LW algorithm, based on recall and limitations in instrumental activities of daily living, reduced underreporting from 61.0 (95% CI, 53.3–68.7%) to 30.4% (95% CI, 19.3–41.4%), outperforming tested machine learning algorithms. Performance in other domains of health and cognitive function was similar for participants classified ‘probable dementia’ and those self-reporting physician-diagnosis of dementia. Dementia classification algorithms can be adapted to cross-national cohort surveys such as SHARE and help reduce underreporting of dementia with a minimal predictor set.

Abstract P249: Association Between Loneliness and Functionality in an Elderly Population

Background: Functionality plays a pivotal role in the well-being and autonomy of older individuals. Discovering new predictors of functional decline is a pressing concern, with loneliness emerging as an unconventional risk factor for chronic diseases. However, its role in functional limitations remains poorly understood. Hypothesis: Loneliness is an independent predictor of limitations in Activities of Daily Living (ADLs) and Instrumental ADLs (IADLs) among individuals aged 80 or older. Methods: A cross-sectional analysis was conducted using data from Wave 8 of the Survey of Health, Ageing, and Retirement in Europe (SHARE), spanning 28 European countries, for participants aged 80 and above, excluding residents in long-term care institutions. Loneliness was assessed using a reduced version of the R-UCLA Loneliness Scale, including measures of companionship, feeling left out, and isolation on a 3-point Likert scale ("often," "some of the time," "hardly ever or never"). Participants scoring 4 to 9 were categorized as lonely. The outcome was defined as the presence of limitations in one or more of the six ADLs and/or the nine IADLs. Logistic regression models were employed to control for potential confounding factors. Multivariate analysis included covariates with p&lt;0.200 and no multicollinearity. Model quality was evaluated using the area under the ROC curve, and the significance level was set at 5%. The analysis was conducted using IBM SPSS, version 28.0. Results: The study included 7,434 individuals, with 58.2% (n=4,323) being female and a mean age of 84.4 (±3.8) for both genders. A majority of participants (52.5%, n=3,879) had low levels of education (ISCED-97 from 0 to 2). Comorbidities included cardiovascular disease (22%, n=1,634), stroke (7%, n=523), diabetes mellitus (17.2%, n=1,281), cancer (6.6%, n=494), and obesity (16.8%, n=1,180). In the univariate analysis, older adults classified as lonely exhibited an odds ratio (OR) of 2.213 (95% CI: 2.016 - 2.428) for presenting limitations in one or more ADLs/IADLs. The multiple model showed an OR of 1.472 (95% CI: 1.313 - 1.649) for having one or more ADLs/IADLs limitations in the presence of loneliness. This association remained significant even after adjusting for confounders (age, gender, education, chronic diseases, hip fracture, pain and European region). The AUC was 76,4%. Conclusions: Our study reveals an independent link between loneliness and limitations in ADLs and IADLs among individuals aged 80 or older from the SHARE dataset. These findings lend support to interventions aimed at preventing loneliness and preserving functionality in this age group.

The Longitudinal Association between Multiple Frailty Criteria and Depressive Symptomatology Five Years Later in Older Adults: A Decision Tree Modelling Approach.

Background: To examine the longitudinal association between frailty criteria and depression (DEP) in a large sample of older Europeans using decision tree models, and to examine complex relationships between frailty criteria and DEP symptomatology. Methods: Data come from waves six and eight of the Population Survey of Health, Ageing and Retirement in Europe. DEP was assessed using the EURO-D scale (wave 8) and frailty (wave 6). We included 27,122 people (56.9% women), aged 50 or over. Results: Women indicated a higher rate of DEP (29.0%), as well as a higher prevalence of pre-frailty (21.6%) and frailty (10.8%) than men. For both sexes, fatigue, weight loss, and slowness indicated an increased chance of DEP 5 years later. MPA (moderate physical activity) and grip strength were considered longitudinally protective factors for DEP. The highest prevalence of DEP symptomatology 5 years later was 50.3%, pointing to those with fatigue and slowness. Among women, the highest incidence of DEP was 66.8%, identified through fatigue, slowness, and low MPA. Conclusions: Strategies to reduce frailty and DEP in older European adults may include the creation of policies that encourage the promotion of physical capacity to reach MPA levels, as well as an improvement in muscular strength.

Stability and Change in Mental Health Profiles from Middle Adulthood to Very Old Age

ABSTRACT Objectives This study investigates mental health (MH) through the dual-factor model, emphasizing both well-being and ill-being. Our objectives were to (1) identify MH profiles based on this model; (2) track these profiles over time; and (3) explore socio-demographic and physical health factors associated with these profiles. Methods We employed Latent Transition Analysis on data from 5,561 individuals aged 39–92, using two waves from the Survey of Health, Ageing, and Retirement in Europe. Well-being was assessed via life satisfaction and quality of life, while ill-being was measured through depression and loneliness. The predictors were socio-demographic and physical health variables. Results Four distinct MH profiles emerged, each with unique levels of well-being and ill-being. Stability was more common in adaptive profiles. Physical health was key in predicting transition. Conclusions Identifying MH profiles in old age enhances our understanding of how MH adapts with aging. This approach reveals the complexity of MH beyond traditional ill-being, underscoring the importance of well-being. Clinical implications • The majority of older adults maintain good MH, suggesting a need for a paradigm shift toward enhancing well-being rather than solely treating ill-being. • Effective MH interventions should integrate both well-being and ill-being assessments to offer understanding and support.

Social connection and end-of-life outcomes among older people in 19 countries: a population-based longitudinal study

Social connection is a key determinant of health, but its role in shaping end-of-life outcomes is poorly understood. We examined changes in structure, function, and quality components of social connection in older people's last years of life, and the extent to which social connection predicts end-of-life outcomes (ie, symptoms, health-care utilisation, and place of death). This study used longitudinal data of representative samples from across 18 European countries and Israel in the Survey of Health, Ageing, and Retirement in Europe (SHARE), the largest European cohort study of people aged 50 years or older. We included deceased participants of waves 4 and 6 (which contained social network modules) for whom a proxy provided an end-of-life interview. We did paired sample t-tests (for continuous variables), Wilcoxon signed-rank tests (for ordinal variables), and McNemar's tests (for non-ordinal categorical variables) to assess changes in structure, function, and quality components of social connection between waves 4 and 6. To examine social connection as a predictor of end-of-life outcomes, we used social connection data from wave 6 core interviews and end-of-life interviews from wave 7, conducted with a proxy respondent covering the deceased participant's last year of life. End-of-life outcomes included symptoms (pain, breathlessness, and anxiety or sadness) in the last month of life, health-care utilisation in the last year of life, and place of death. We conducted a mixed-effects logistic regression analysis per social connection measure, for each end-of-life outcome. Data were collected in 2011-12 for wave 4, 2015-16 for wave 6, and 2017-18 for wave 7. We studied 3356 individuals (mean age at death was 79·7 years [SD 10·2]), with interviews conducted, on average, 4·6 (1·2) years (wave 4) and 1·1 (0·7) years (wave 6) before death. From wave 4 to wave 6, the following changes in social connection were observed: proportion of married or partnered participants (from 1406 [60·9%] of 2310 to 1438 [57·1%] of 2518; p<0·0001), receiving personal care or practical help (from 781 [37·2%] of 2099 to 1334 [53·1%] of 2512; p<0·0001), loneliness (from mean 1·4 [SD 0·5] to 1·5 [0·6]; p<0·0001; scale 1-3), satisfaction with social network (from 8·8 [1·67] to 8·7 [1·7]; p=0·037; scale 0-10), and emotional closeness to social network (eg, from 1883 [88·8%] of 2121 to 1710 [91·3%] of 1872 participants who indicated being either very close or extremely close to social network members; p<0·0001). Higher levels of loneliness at wave 6 predicted a greater likelihood of experiencing symptoms in the last month of life (odds ratio range across symptoms: 1·29 [95% CI 1·08-1·55] to 1·58 [1·32-1·89]). Being married (1·32 [1·03-1·68]) or receiving personal care or practical help (1·25 [1·04-1·49]) predicted death in hospital. Social connection undergoes multifaceted changes towards older people's end of life, countering prevalent ideas of generally declining social trajectories. Loneliness in the final months of life might be a risk factor for end-of-life symptoms. Further research is needed to substantiate a causal relationship and to identify underpinning mechanisms, which could inform screening and prevention measures. Research Foundation-Flanders and European Union.

Moderating Effect of Muscular Strength in the Association between Cardiovascular Events and Depressive Symptoms in Middle-Aged and Older Adults-A Cross Sectional Study.

Depression and cardiovascular diseases are two main health conditions contributing to the global disease burden. Several studies indicate a reciprocal association between them. It is still unclear how changes in overall muscle strength may impact this association. This study aimed to analyse how muscular strength moderates the relationship between cardiovascular events and depressive symptoms among middle-aged and older adults. Wave 8 of the population-based Survey of Health, Ageing, and Retirement in Europe (2019/2020) cross-sectional data, which included 41,666 participants (17,986 men) with a mean age of 70.65 (9.1) years old, was examined. Grip strength was measured twice on each hand using a dynamometer. The 12-item EURO-D scale was employed to gauge depressive symptoms. Grip strength negatively moderates the link between cardiovascular events and depressive symptoms (male: B = -0.03, 95% CI = -0.04, -0.03; female: B = -0.06, 95% CI = -0.06, -0.05). Additionally, the grip strength moderation values in the significant zone for males and females were less than 63.2 kg and 48.3 kg, respectively. Muscular strength modifies depressive symptoms and lessens their correlation with cardiovascular diseases. Muscle-strengthening activities could be incorporated into primary and secondary preventive strategies to reduce the burden of depression in people with CVD.

Arthritis prevalence is associated with metabolic syndrome risk factors but not with physical activity in middle-aged and older patients - a cross-sectional study

BackgroundIn light of the aging population, increasingly suffering from the metabolic syndrome (MS), strategies need to be developed to address global public health challenges known to be associated with MS such as arthritis. As physical activity (PA) may play a crucial role in tackling those challenges, this study aimed to determine the association between the number of MS risk factors, PA and arthritis in people ≥ 50 years old.MethodsData from the Survey of Health, Ageing, and Retirement in Europe (SHARE) were used to estimate the prevalence of arthritis and MS risk factors in the European population ≥ 50 years and to evaluate the associations between MS risk factors, PA and arthritis. Binary logistic regression was performed to calculate the odds ratio of different factors.Results73,125 participants were included in the analysis. 55.75% of patients stated at least one of the three MS risk factors. The prevalence of rheumatoid arthritis (RA) and osteoarthritis (OA)/other rheumatism among ≥ 50 years population was 10.19% and 19.32% respectively. Females showed a higher prevalence of arthritis than males. Prevalence did not differ between groups with different levels of PA. Arthritis prevalence was positively correlated with the number of MS risk factors (P < 0.01) but not with PA (P > 0.05).ConclusionMiddle-aged and older Europeans with multiple comorbidities suffered from RA, OA or other rheumatism more frequently than participants with fewer comorbidities, while the level of physical activity was not associated with the number of metabolic risk factors in patients with RA and OA/other rheumatism.

Longitudinal relationship between grip strength and cognitive function in a European population older than 50 years: A cross-lagged panel model

ObjectivesThe aim of this study was to investigate the dynamic longitudinal relationship between grip strength and cognitive function. Methods6175 participants aged ≥50 years were included in the study using three waves of follow-up data from the Survey of Health, Ageing, and Retirement in Europe in 2015 (T1), 2017 (T2) and 2019 (T3). Cognitive function was assessed using numeracy, verbal fluency, immediate recall, delayed recall and total. The cross-lagged panel model was used for analysis. ResultsThere was a correlation between grip strength and cognitive function. Standardized path coefficient from numeracy T1 to grip strength T2 was 0.017 (p = 0.003), and from numeracy T2 to grip strength T3 was 0.014 (p = 0.012). Standardized path coefficient from grip strength T1 to numeracy T2 was 0.096 (p < 0.001), and from grip strength T2 to numeracy T3 was 0.113 (p < 0.001). Other indicators of cognitive function had similar relationships with grip strength. ConclusionsThe study found a statistically significant longitudinal and bidirectional relationship between grip strength and cognitive function in a sample of people aged ≥50 years from several European countries.

The SHARE Frailty Instrument for Primary Care was Associated with Sarcopenia, as Measured by Bioelectrical Impedance, in Falls Clinic Attendees.

This study aimed to assess the association between measures of frailty phenotype (FP) and malnutrition, and sarcopenia measured by bioelectrical impedance analysis (BIA), in individuals aged 50 and above attending an outpatient falls clinic. The Survey of Health, Ageing and Retirement in Europe Frailty Instrument (SHARE-FI) gauged FP status, while nutritional assessment relied on the Mini Nutritional Assessment-Short Form (MNA®-SF). Body composition, specifically appendicular skeletal muscle mass (ASMM), was determined through TANITA® DC-430MA BIA. Multivariable binary logistic regression models were used to predict pre-frailty or frailty based on SHARE-FI and at-risk of malnutrition or malnutrition based on MNA®-SF. Out of the 123 participants (68 women, 55 men), 56.1% were classified as robust, 27.6% as living with pre-frailty, and 16.3% as living with frailty according to SHARE-FI. MNA®-SF results were available for 116 patients, with 54.3% categorised as normal, 39.7% at risk of malnutrition, and 6.0% as malnourished. Among the 118 patients who underwent BIA, ASMM was independently associated with pre-frail/frail status, but there was no significant association between abnormal MNA®-SF and sarcopenia. SHARE-FI, a modified FP tool, demonstrated an independent association with sarcopenia as measured by BIA.