Does community social capital buffer the relationship between educational disadvantage and cognitive impairment? A multilevel analysis in Japan

Social frailty among older adults in India: Findings from the Longitudinal Ageing Study in India (LASI) - Wave 1

BACKGROUND

From an individual's perspective, social frailty may act as a key determinant of social capital, which is essential for meeting social needs and improvement of overall wellbeing. The present study aimed to understand the social frailty and its determining factors among Indian older adults.

METHODS

Data from the Longitudinal Ageing Study in India (LASI)-wave 1 was used. For the assessment of social frailty the study proposed a multidimensional Social Frailty Index (SFI) score ranging between 0 and 100 using 17 indicators. Bivariate analysis and quantile regression models were applied.

RESULTS

The study results indicated that on average female older adults (mean SFI = 63.7) are relatively more socially frail than male older adults (mean SFI = 59.0). Further, the quantile regression analysis revealed that at the 10th, 25th, 50th, and 75th percentiles, female older adults were significantly more likely to be socially frail than male older adults (β = 3.80, p < .01; β = 2.82, p < .01; β = 1.72, p < .01; and β = 2.62, p < .01, respectively). Educational attainment and better economic condition showed a protective effect against social frailty.

CONCLUSIONS

Investment to improve geriatric health status and socioeconomic conditions shall be a key focus to reduce social frailty prevalence among the older adults. A specific consideration is needed for addressing social frailty among female older adults.

Association between social capital and quality of life in older adults with subjective cognitive decline: A cross-sectional study

BACKGROUND

Subjective cognitive decline (SCD) is increasingly recognized as a clinical and medical risk factor for mild cognitive impairment (MCI) and dementia. Currently, there is little evidence regarding the quality of life (QoL) in older adults with SCD and the impact of social capital on their QoL.

AIMS

To examine the perceptions of social capital and QoL among older adults with SCD.

METHODS

A total of 325 participants (92.9 % response rate) with a self-reported diagnosis of SCD completed the Chinese version of the 36-item Short-Form Health Survey, the Chinese Shortened Social Capital Scale and the Generalized Anxiety Disorder Scale. A t-test was used to compare the QoL score of our sample with the Chinese norm. Pearson correlation analysis and multivariate linear regression analysis were used to assess the association of social capital with QoL.

RESULTS

Social capital were strongly correlated with the total QoL, as well as its physical component summary and mental component summary. The QoL score of older adults with SCD was significantly lower than the Chinese norm (P < 0.001). Multivariate analysis showed that social capital, physical activity, nutrition and anxiety symptoms were factors associated with QoL among older SCD population (P < 0.05).

CONCLUSION

The findings of the current study suggest that older adults with SCD may experience lower QoL. Social capital is associated with the QoL in older adults with SCD. These findings have implications for clinicians who work with older adults with SCD.

Comparison of multiple linear regression and machine learning methods in predicting cognitive function in older Chinese type 2 diabetes patients

INTRODUCTION

The prevalence of type 2 diabetes (T2D) has increased dramatically in recent decades, and there are increasing indications that dementia is related to T2D. Previous attempts to analyze such relationships principally relied on traditional multiple linear regression (MLR). However, recently developed machine learning methods (Mach-L) outperform MLR in capturing non-linear relationships. The present study applied four different Mach-L methods to analyze the relationships between risk factors and cognitive function in older T2D patients, seeking to compare the accuracy between MLR and Mach-L in predicting cognitive function and to rank the importance of risks factors for impaired cognitive function in T2D.

METHODS

We recruited older T2D between 60-95 years old without other major comorbidities. Demographic factors and biochemistry data were used as independent variables and cognitive function assessment (CFA) was conducted using the Montreal Cognitive Assessment as an independent variable. In addition to traditional MLR, we applied random forest (RF), stochastic gradient boosting (SGB), Naïve Byer's classifier (NB) and eXtreme gradient boosting (XGBoost).

RESULTS

Totally, the test cohort consisted of 197 T2D (98 men and 99 women). Results showed that all ML methods outperformed MLR, with symmetric mean absolute percentage errors for MLR, RF, SGB, NB and XGBoost respectively of 0.61, 0.599, 0.606, 0.599 and 0.2139. Education level, age, frailty score, fasting plasma glucose and body mass index were identified as key factors in descending order of importance.

CONCLUSION

In conclusion, our study demonstrated that RF, SGB, NB and XGBoost are more accurate than MLR for predicting CFA score, and identify education level, age, frailty score, fasting plasma glucose, body fat and body mass index as important risk factors in an older Chinese T2D cohort.

Association of community-level social capital with dementia: A multilevel nine-year longitudinal study using data from the Japan Gerontological Evaluation Study

BACKGROUND

Individual-level social capital prevents cognitive decline. However, a few studies have focused on the effects of community-level social capital on dementia. Therefore, we investigated the association between community-level social capital and dementia onset based on longitudinal study data on older adults in Japan.

METHODS

We used longitudinal data from the Japan Gerontological Evaluation Study, obtained over nine years (2010-2019). In total, 35,921 physically and cognitively independent individuals (16,848 males and 19,073 females) aged ≥65 years and nested within 308 communities in seven municipalities participated in the study. Dementia onset was assessed using the public long-term care insurance registration. Social capital was assessed using three dimensions: civic participation, social cohesion, and reciprocity. We performed a two-level multilevel survival analysis stratified by sex, calculated hazard ratios (HRs), and 95% confidence intervals (CIs).

RESULTS

During the follow-up, 6245 (17.4%) dementia onset cases were identified. The cumulative incidence of dementia was 16.2% in males and 18.4% in females. After adjusting for covariates, individual-level civic participation was associated with a lower incidence of dementia in both males and females (HR, 0.84; 95% CI, 0.77-0.92; HR, 0.78; 95% CI, 0.73-0.84). Community-level civic participation and social cohesion were associated with a lower incidence of dementia among females (HR, 0.96; 95% CI, 0.93-0.99; HR, 0.93; 95% CI, 0.88-0.98) and cross-level interaction on social cohesion among females (HR, 0.95; 95% CI, 0.90-0.99).

CONCLUSIONS

Living in a community with high civic participation and social cohesion is associated with a lower incidence of dementia among older females. Therefore, promoting civic participation and social cohesion in the community may be a useful population-based strategy to delay or prevent the onset of dementia.

Are profiles of social, cultural, and economic capital related to living well with dementia? Longitudinal findings from the IDEAL programme

RATIONALE

Research exploring social, cultural, and economic capital among people with dementia is scarce.

OBJECTIVE

We describe levels of social, cultural, and economic capital in people with dementia at baseline and levels of social and cultural capital 12 and 24 months later. We identify groups of people with dementia having different combinations of capital and explore whether the identified groups differ in personal characteristics at baseline and in quality of life (QoL), satisfaction with life (SwL), and well-being over time.

METHOD

Baseline, 12-months, and 24-months data from 1537 people with dementia (age, mean = 76.4 years; SD = 8.5; Alzheimer's Disease = 55.4%) enrolled in the IDEAL cohort were analyzed. Social (interactions with friends, civic participation, social participation, neighborhood trust, social network), cultural (education, cultural participation) and economic (annual income) capital, QoL, SwL, well-being, and personal characteristics were assessed.

RESULTS

Compared to people their age, people with dementia reported slightly lower frequency of interactions with friends, social networks and social support, civic and cultural participation, education, and annual income. However, social engagement, cultural participation, and annual income are low among British older adults. Latent profile analysis identified four groups that, based on their levels of social, cultural, and economic capital were named socially and economically privileged (18.0% of participants); financially secure (21.0% of participants); low capital (36.9% of participants); and very low capital (24.1% of participants). Latent growth curve models showed that over time QoL, SwL, and well-being remained largely stable for all groups. Compared to the low capital group, the socially and economically privileged and financially secure groups had higher QoL and well-being whereas the group with very low capital had poorer QoL, SwL, and well-being.

CONCLUSIONS

New policies and efforts from the government, philanthropic foundations, the voluntary and primary care sectors are needed to address social, cultural, and economic disadvantage among people with dementia.

Adverse childhood experiences, adult anxiety and social capital among women in rural Kenya

Hundreds of millions of people suffer anxiety disorders globally, demonstrating need for scalable and effective interventions. Adverse childhood experiences contribute to this mental health burden. The stress-buffering hypothesis, which posits social factors moderate prior adversity and subsequent mental health outcomes, provides one theoretical avenue to consider observations that group-based microfinance programs improve social capital. We investigate associations between adverse childhood experiences, generalized anxiety among adults and social capital associated with participation in a group-based microfinance program in rural Kenya. Adult participants (n = 400 women) responded to standardized measures of childhood adversity in June 2018, group-affiliated social capital and generalized anxiety in June 2019. Cumulative adverse childhood experiences predicted higher anxiety, which was statistically moderated by the presence of group-affiliated interpersonal trust. This study is the first to find social capital associated with participation in a group-based microfinance program statistically moderates expected associations between adverse childhood experiences and adult generalized anxiety. Future study should be conducted using a cluster-randomized control design to further assess the potential of this intervention method to ameliorate associations between past adversity and current mental health.

Community support and promoting cognitive function for the elderly

Proper cognitive functions are critical to the life of the elderly. With the rapid aging of the population, community support plays an important role in cognitive functioning. This study examines the association between community support and the level of cognitive functioning in the elderly, and the mediating effect of social participation in the relationship. Based on the panel data of China Longitudinal Healthy Longevity Survey (CLHLS) in 2005, 2008, 2011, 2014, and 2018, people aged 65 and over are selected as the research object (N = 35,479). The panel Logit model is used to analyze the influence of community support on their cognitive functioning. In addition, the stepwise regression and KHB decomposition methods are used to test the influence mechanism of community support on their cognitive function. The benchmark regression results show that there is a significant correlation between community support and cognitive function in the elderly (OR: 1.64, 95% CI: 1.41–1.91, p &lt; 0.01). Daily care (OR: 1.75, 95% CI: 1.33–2.29, p &lt; 0.01) has the strongest impact on the cognitive function of the elderly, followed by health care (OR: 1.70, 95% CI: 1.43–2.01, p &lt; 0.01) and legal support (OR: 1.64, 95% CI: 1.37–1.95, p &lt; 0.01), while psychological care (OR: 1.62, 95% CI: 1.31–2.01, p &lt; 0.01) has the weakest impact on the cognitive function of the elderly. The results of the mediation effect test show that social participation plays a significant intermediary role in the impact of community support on the cognitive function of the elderly (mediation percentage: 16.89%), demonstrating that community support can improve the cognitive function of the elderly by promoting the social participation of the elderly. In classified community support, social participation plays a significant intermediary role in the impact of psychological care on cognition (mediation percentage: 46.10%).

Community-level educational attainment and dementia: a 6-year longitudinal multilevel study in Japan

BACKGROUND

As the understanding of the association between community-level education and dementia is insufficient, this study examined the contextual association of community-level prevalence of low educational attainment on the risk of dementia incidence. With this study, we further explored the potential differences in the aforementioned associations for urban and non-urban areas.

METHODS

We analyzed 6 years of prospective cohort data from the Japan Gerontological Evaluation Study, beginning with the baseline data collected between 2010 and 2012, for 51,186 physically and cognitively independent individuals aged ≥65 years (23,785 men and 27,401 women) from 346 communities in 16 municipalities across 7 prefectures. We assessed dementia incidence using available data from the long-term care insurance system in Japan. We dichotomized education years as ≤9 and ≥ 10 years and aggregated individual-level educational attainment as a community-level independent variable. Model 1 covariates were age and sex. Income, residential years, disease, alcohol, smoking, social isolation, and population density were added in Model 2. We conducted multiple imputation to address the missing data. We performed a two-level (community and individual) survival analysis to calculate hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

The results indicate that the cumulative incidence of dementia during the follow-up period was 10.6%. The mean proportion with educational attainment of ≤9 years was 40.8% (range: 5.1-87.3%). Low community-level educational attainment was significantly associated with higher dementia incidence (HR: 1.04; 95% CI: 1.01-1.07), estimated by 10 percentage points of low educational attainment after adjusting for individual-level educational years and covariates. While the association was significant in non-urban areas (HR: 1.07; 1.02-1.13), there was no association in urban areas (HR: 1.03; 0.99-1.06).

CONCLUSIONS

Older people living in communities with low educational attainment among their age demographic develop dementia more often compared with those living in areas with high educational attainment after adjusting for individual-level educational attainment and covariates; the association was pronounced in non-urban areas. Securing education for adolescents as a life course and population approach could thus be crucial in preventing dementia later in life among older people living in non-urban areas.

A comparison of the Mini-Mental State Examination (MMSE) with the Montreal Cognitive Assessment (MoCA) for mild cognitive impairment screening in Chinese middle-aged and older population: a cross-sectional study

BACKGROUND

The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are the most commonly used scales to detect mild cognitive impairment (MCI) in population-based epidemiologic studies. However, their comparison on which is best suited to assess cognition is scarce in samples from multiple regions of China.

METHODS

We conducted a cross-sectional analysis of 4923 adults aged ≥55 years from the Community-based Cohort Study on Nervous System Diseases. Objective cognition was assessed by Chinese versions of MMSE and MoCA, and total score and subscores of cognitive domains were calculated for each. Education-specific cutoffs of total score were used to diagnose MCI. Demographic and health-related characteristics were collected by questionnaires. Correlation and agreement for MCI between MMSE and MoCA were analyzed; group differences in cognition were evaluated; and multiple logistic regression model was used to clarify risk factors for MCI.

RESULTS

The overall MCI prevalence was 28.6% for MMSE and 36.2% for MoCA. MMSE had good correlation with MoCA (Spearman correlation coefficient = 0.8374, p < 0.0001) and moderate agreement for detecting MCI with Kappa value of 0.5973 (p < 0.0001). Ceiling effect for MCI was less frequent using MoCA versus MMSE according to the distribution of total score. Percentage of relative standard deviation, the measure of inter-individual variance, for MoCA (26.9%) was greater than for MMSE (19.0%) overall (p < 0.0001). Increasing age (MMSE: OR = 2.073 for ≥75 years; MoCA: OR = 1.869 for≥75 years), female (OR = 1.280 for MMSE; OR = 1.163 for MoCA), living in county town (OR = 1.386 and 1.862 for MMSE and MoCA, respectively) or village (OR = 2.579 and 2.721 for MMSE and MoCA, respectively), smoking (OR = 1.373 and 1.288 for MMSE and MoCA, respectively), hypertension (MMSE: OR = 1.278; MoCA: OR = 1.208) and depression (MMSE: OR = 1.465; MoCA: OR = 1.350) were independently associated with greater likelihood of MCI compared to corresponding reference group in both scales (all p < 0.05).

CONCLUSIONS

MoCA is a better measure of cognitive function due to lack of ceiling effect and with good detection of cognitive heterogeneity. MCI prevalence is higher using MoCA compared to MMSE. Both tools identify concordantly modifiable factors for MCI, which provide important evidence for establishing intervention measures.

Operationalizing Social Environments in Cognitive Aging and Dementia Research: A Scoping Review

BACKGROUND

Social environments are a contributing determinant of health and disparities. This scoping review details how social environments have been operationalized in observational studies of cognitive aging and dementia.

METHODS

A systematic search in PubMed and Web of Science identified studies of social environment exposures and late-life cognition/dementia outcomes. Data were extracted on (1) study design; (2) population; (3) social environment(s); (4) cognitive outcome(s); (5) analytic approach; and (6) theorized causal pathways. Studies were organized using a 3-tiered social ecological model at interpersonal, community, or policy levels.

RESULTS

Of 7802 non-duplicated articles, 123 studies met inclusion criteria. Eighty-four studies were longitudinal (range 1-28 years) and 16 examined time-varying social environments. When sorted into social ecological levels, 91 studies examined the interpersonal level; 37 examined the community/neighborhood level; 3 examined policy level social environments; and 7 studies examined more than one level.

CONCLUSIONS

Most studies of social environments and cognitive aging and dementia examined interpersonal factors measured at a single point in time. Few assessed time-varying social environmental factors or considered multiple social ecological levels. Future studies can help clarify opportunities for intervention by delineating if, when, and how social environments shape late-life cognitive aging and dementia outcomes.

Dementia-Friendly Neighborhood and the Built Environment: A Scoping Review

Background and Objectives

There has been a proliferation of research on dementia-friendly communities in recent years, particularly on interpersonal and social aspects. Nonetheless, the neighborhood built environment remains a co-constituent of the lived experience of people living with dementia (PLWD) that is amenable to interventions for health and well-being in the community. This scoping review presents a narrative synthesis of empirical research on dementia-friendly neighborhoods, with a focus on the built environment and its associated sociobehavioral aspects. Planning and design principles are distilled to identify research and policy implications.

Research Design and Methods

We reviewed 29 articles identified through a systematic search of AgeLine, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, Global Health, Medical Literature Analysis and Retrieval System Online, and Scopus. Peer-reviewed articles that employed quantitative and/or qualitative methods in community settings were included.

Results

An equal number of studies focused on behavioral/psychosocial aspects of the built environment and assessment of specific environmental features. The former often used qualitative methods, whereas statistical methods were common in studies on discrete features of the neighborhood built environment. Few studies focused on rural contexts. Emerging research areas include interactions between dementia risk factors and neighborhood environments to support primary and secondary prevention.

Discussion and Implications

The body of literature needs expansion into planning and design fields to foster community participation of PLWD by optimizing environmental stimuli, minimizing environmental barriers, and engaging PLWD in dementia-friendly community initiatives. While evidence has accumulated on landmarks and social participation at the individual level, research at the community and policy levels is limited. This requires advanced mixed methods.

Neighbourhood environment and dementia in older people from high-, middle- and low-income countries: results from two population-based cohort studies

BACKGROUND

A growing number of studies have explored how features of the neighbourhood environment can be related to cognitive health in later life. Yet few have focused on low- and middle-income countries and compared the results across different settings. The aim of this study is to investigate the cross-sectional associations between neighbourhood amenities and dementia in older people from high-, middle- and low-income countries.

METHODS

This study was based on two population-based cohort studies of people aged≥65: the Cognitive Function and Ageing Study II (CFAS II) in UK (N = 4955) and a subset of the 10/66 study in China, Dominican Republic and Mexico (N = 3386). In both cohorts, dementia was assessed using the Geriatric Mental State-Automated Geriatric Examination for Computer Assisted Taxonomy (GMS-AGECAT) algorithm. The 10/66 dementia diagnostic algorithm was also used as an additional criterion in the 10/66 study. Publicly accessible databases, Google Maps and Open Street Map, were used to obtain geographic information system data on distance to neighbourhood amenities, including lifestyle (cafés, libraries, movie theatres, parks), daily life (post offices, convenience stores), healthcare (hospitals, pharmacies) and percentages of local green and blue spaces within 400 and 800 m of participants' residences. Multilevel logistic regression was used to investigate the associations between these environmental features and dementia adjusting for sociodemographic factors and self-rated health.

RESULTS

Living far from daily life amenities was associated with higher odds of dementia in both CFAS II (1.47; 95% CI: 0.96, 2.24) and the 10/66 study (1.53; 95% CI: 1.15, 2.04), while living far from lifestyle (1.50; 95% CI: 1.13, 1.99) and healthcare amenities (1.32; 95% CI: 0.93, 1.87) was associated with higher odds of dementia only in the 10/66 study. A high availability of local green and blue spaces was not associated with dementia in either cohort yet living far from public parks was associated with lower odds of dementia in CFAS II (0.64; 95% CI: 0.41, 1.00).

CONCLUSIONS

The different relationships across cohorts may indicate a varying role for local amenities in diverse settings. Future research may investigate mechanisms related to these differences and social, cultural and historical influences on the interaction between neighbourhood amenities and older people.

Relationship between Knowledge and Types of Attitudes towards People Living with Dementia

The purpose of this study was to examine the relationship between knowledge and attitudes towards dementia among adults. A cross-sectional online survey with purposive sampling was conducted in four district health centers in Taichung, Taiwan, in 2018. Knowledge was measured by the Taiwanese version of the Dementia Knowledge Assessment Scale. Attitudes towards people with dementia were measured by four kinds of feelings: discomfort, shame, avoidance, and fear. In total, 347 persons completed the questionnaire. Knowledge of dementia was modest. Higher education, a care-related background, chronic health conditions, experience caring for people with dementia, and knowledge of family history were related to higher knowledge of dementia. Attitudes towards people with dementia were grouped into four clusters: uncomfortable (22.2%), ashamed (2.6%), unfriendly (22.5%), and non-negative (52.7%). Knowledge of dementia was significantly related to the ashamed cluster but not to the other clusters. Lower education, a lack of caring experience, and a lack of knowledge of family history were related to uncomfortable feelings, and poorer financial satisfaction was related to uncomfortable, afraid, and avoidant feelings. The open-question expression of feelings towards dementia was more likely to be negative (55.3%). The public should be educated on knowledge of and friendly attitudes towards dementia.