Income and education are associated with transitions in health status among community-dwelling older people in Japan: the JAGES cohort study

Factors Associated with Frailty in Older Adults in Community and Nursing Home Settings: A Systematic Review with a Meta-Analysis

Background: Frailty is a globally recognized issue. However, there is a lack of evidence exploring factors associated with frailty among older residents in community and nursing-home settings. Methods: To explore the prevalence and factors associated with frailty among older adults in community and nursing-home settings, we conducted a systematic search following the PRISMA guidelines across Web of Science, MEDLINE, EMBASE, PubMed, and Cochrane databases up until January 2024, selecting 38 studies which encompassed 150,642 participants. Results: Our findings showed higher frailty prevalence in nursing homes compared to communities. Frailty was significantly associated with sociodemographic (living alone, poor self-reported health), physiological (poor sleep, low activity of daily living), behavioral (physical inactivity) and disease (chronic conditions, depression) factors in both community and nursing-home settings. Conclusions: There are numerous factors associated with frailty in older adults in nursing-home and community settings. These factors underscore the significance of promptly identifying high-risk individuals and devising appropriate interventions to mitigate frailty among them.

Factors associated with health behaviors in preventing non-communicable diseases among older adults living alone in poverty in Japan

Introduction

Older adults who live alone in poverty are highly susceptible to non-communicable diseases and other adverse conditions owing to health disparities resulting from social structures. However, the factors associated with health behavior to prevent non-communicable diseases in this population are rarely explored. The purpose of this study was to identify factors associated with health behavior to prevent non-communicable diseases among older adults living alone in poverty.

Methods

We conducted a self-administered mail survey covering 2,818 older adults living alone who were receiving public assistance, randomly selected from lists of individuals receiving national public assistance in all 1,250 local social welfare offices across Japan. A total of 1,608 individuals completed the questionnaire, a valid response rate of 57.1%. Respondents' mean age was 74.5 years (standard deviation = 6.7), and 52.9% were women. The study variables included demographic characteristics, scores on a health behavior scale for older adults living alone and receiving public assistance (HBSO), and individual and community-related factors.

Results

Logistic regression analysis revealed that the individual factor of having a health check-up in the past 12 months [odds ratio (OR): 1.45, 95% confidence interval (CI): 1.10-1.91] and the community-related factors Lubben social network scale score (OR 1.15, 95% CI: 1.12-1.18) and Community Commitment Scale score (OR: 1.04, 95% CI: 1.00-1.08) were significantly associated with HBSO scores.

Conclusion

To improve health behavior among older adults living alone in poverty in Japan, social structures, such as lowering mental barriers to the detection, treatment, and management of non-communicable diseases and developing human resources, should be changed to provide social support, such that these individuals are not only dependent on family and friends.

(Healthy) Aging Patterns in Europe: A Multistate Health Transition Approach

We explore patterns and determinants of health transition probabilities by combining outcomes of morbidity and mortality to examine different aging patterns across Europe, and to ascertain how individual socio-demographic characteristics modify these patterns. We use panel data from the Survey of Health, Ageing and Retirement in Europe (2004– 2017) for 76,536 individuals aged 50 + in 20 European countries who participated in at least two waves. All transition probabilities were calculated applying a multistate analytical approach. Our findings show significant gender, education, and cohort differences in health transition probabilities and marked cross-country group differences. Central and Northern European countries present lower probabilities of health deterioration than Southern and, especially, Eastern European countries. Having a high level of education, living in Central Europe, and being younger are associated with lower probabilities of health deterioration and, if any, a higher probability of being restored to good health. We found less evidence of differences when transitions end in death. Our study contributes to this line of research by implementing a multistate approach using European harmonized panel dataset, to examine the effects of birth cohort, educational attainment and gender differences on health transitions. Our findings point to the need to consider the specific influence of individual factors in the aging process in different transitions according to the context and with reference to specific vulnerable groups. In the context of aging societies, such a consideration is both essential and policy relevant.

Risk factors for frailty in older adults

AIMS

To clarify the risk factors for frailty to help doctors prevent diseases that cause weakness, through early interventions.

METHODS

We searched the PubMed, EMBASE, and Cochrane Library databases to identify all relevant studies using the items "frailty," "weak," "risk factors," and "predictive factors" and compared their results. The aging population (≥65 years old) was divided into 2 groups, a "frailty group" and a "robust control group," and then the characteristics, lifestyles, and comorbidities were compared.

RESULTS

We compared the influence of baseline and concomitant diseases on frailty in the elderly respectively, and the analysis of the influence of baseline on frailty found that increasing age, lower weight, female sex, living alone, low levels of exercise, polypharmacy, higher education level, smoking, drinking, malnutrition, and lower vitamin D levels were associated with aging individuals being more likely to experience frailty. The data about concomitant diseases had shown that diabetes, hearing dysfunction, cognitive impairment, poor sleep, a history of falls, pain, and depression can increase the risk of frailty among the elderly population.

CONCLUSION

Characteristics, comorbidities, and lifestyle factors can impact the occurrence of frailty, and relevant influencing factors should be considered.

An Interpretable Machine Learning Approach to Predict Fall Risk Among Community-Dwelling Older Adults: a Three-Year Longitudinal Study

BACKGROUND

Adverse health effects resulting from falls are a major public health concern. Although studies have identified risk factors for falls, none have examined long-term prediction of fall risk. Furthermore, recent evidence suggests that there are additional risk factors, such as psychosocial factors.

OBJECTIVE

In this 3-year longitudinal study, we evaluated a predictive model for risk of fall among community-dwelling older adults using machine learning methods.

DESIGN

A 3-year follow-up prospective longitudinal study (from 2010 to 2013).

SETTING

Twenty-four municipalities in nine of the 47 prefectures (provinces) of Japan.

PARTICIPANTS

Community-dwelling individuals aged ≥65 years who were functionally independent at baseline (n = 61,883).

METHODS

The baseline survey was conducted from August 2010 to January 2012, and the follow-up survey was conducted from October to December 2013. Both surveys were conducted involving self-reported questionnaires. The measured outcome at the follow-up survey was self-reported multiple falls during the previous year. The 142 variables included in the baseline survey were regarded as candidate predictors. The random-forest-based Boruta algorithm was used to select predictors, and the eXtreme Gradient Boosting algorithm with 10 repetitions of nested k-fold cross-validation was used for modeling and model evaluation. Furthermore, we used shapley additive explanations to gain insight into the behavior of the prediction model.

KEY RESULTS

Fourteen out of 142 candidate features were selected as predictors. Among these predictors, experience of falling as of the baseline survey was the most important feature, followed by self-rated health and age. Moreover, sense of coherence was newly identified as a risk factor for falls.

CONCLUSIONS

This study suggests that machine learning tools can be adapted to explore new associative factors, make accurate predictions, and provide actionable insights for fall prevention strategies.

Relationship of neighborhood and individual socioeconomic status on mortality among older adults: Evidence from cross-level interaction analyses

Background

The influence of community context and individual socioeconomic status on health is widely recognized. However, the dynamics of how the relationship of neighborhood context on health varies by individual socioeconomic status is less well understood.

Objective

To examine the relationship between neighborhood context and mortality among older adults and examine how the influence of neighborhood context on mortality differs by individual socioeconomic status, using two measures of income-level and homeownership.

Research design and subjects

A retrospective study of 362,609 Medicare Advantage respondents to the 2014–2015 Medicare Health Outcomes Survey aged 65 and older.

Measures

Neighborhood context was defined using the deciles of the Area Deprivation Index. Logistic regression was used to analyze mortality with interaction terms between income/homeownership and neighborhood deciles to examine cross-level relationships, controlling for age, gender, race/ethnicity, number of chronic conditions, obese/underweight, difficulties in activities of daily living, smoking status, and survey year. Predicted mortality rates by group were calculated from the logistic model results.

Results

Low-income individuals (8.9%) and nonhomeowners (9.1%) had higher mortality rates compared to higher-income individuals (5.3%) and homeowners (5.3%), respectively, and the differences were significant across all neighborhoods even after adjustment. With regression adjustment, older adults residing in less disadvantaged neighborhoods showed lower predicted 2-year mortality among high-income (4.86% in the least disadvantaged neighborhood; 6.06% in the most disadvantaged neighborhood; difference p-value<0.001) or homeowning individuals (4.73% in the least disadvantaged neighborhood; 6.25% in the most disadvantaged neighborhood; difference p-value<0.001). However, this study did not observe a significant difference in predicted mortality rates among low-income individuals by neighborhood (8.7% in the least disadvantaged neighborhood; 8.61% in the most disadvantaged neighborhood; difference p-value = 0.825).

Conclusions

Low-income or non-homeowning older adults had a higher risk of mortality regardless of neighborhood socioeconomic status. While living in a less disadvantaged neighborhood provided a protective association for higher-income or homeowning older adults, low-income older adults did not experience an observable benefit.

Towards an approach of disability along a continuum from robustness, pre-frailty, frailty to disability

BACKGROUND

frailty and disability are very prevalent in older age and although both are distinct clinical entities, they are commonly used indistinctly in order to identify vulnerable older adults.

OBJECTIVE

to propose a hierarchical indicator between frailty and disability among older adults along a single continuum.

DESIGN

population-based cohort study.

SETTING

the Bordeaux Three-City Study and the Aging Multidisciplinary Investigation (AMI) cohort.

SUBJECTS

the sample included 1800 participants aged 65 and older.

METHODS

an additive hierarchical indicator was proposed by combining the phenotype of frailty (robustness, pre-frailty and frailty), instrumental activities of daily living (IADL) and basic activities of daily living (ADL). To test the relevance of this indicator, we estimated the 4-year mortality risk associated with each stage of the indicator.

RESULTS

in total, 34.0% were Robust (n = 612), 29.9% were Pre-frail (n = 538), 3.2% were Robust with IADL-disability (n = 58), 4.6% had pure Frailty (no disability) (n = 82), 11.9% were Pre-frail + IADL (n = 215), 8.6% were Frail + IADL (n = 154) and 7.8% Frail + IADL + ADL (n = 141). After grouping grades with similar mortality risks, we obtained a five-grade hierarchical indicator ranging from robustness to severe stage of the continuum. Each state presented a gradually increasing risk of dying compared to the robust group (from Hazard Ratio (HR) = 2.20 [1.49-3.25] to 15.10 [9.99-22.82]).

CONCLUSIONS

We confirmed that combining pre-frailty, frailty, IADL- and ADL-disability into a single indicator may improve our understanding of the aging process. Pre-frailty identified as the 'entry door' into the process may represent a key stage that could offer new opportunities for early, targeted, individualized and tailored interventions and care in clinical geriatrics.

Association between community-level social capital and frailty onset among older adults: a multilevel longitudinal study from the Japan Gerontological Evaluation Study (JAGES)

Background

Little is known about the prospective association between community-level social capital and individual-level frailty onset. Therefore, this study aimed to examine the impact of community-level social capital on frailty onset among older adults using 3-year longitudinal data.

Methods

This prospective cohort study recruited non-institutionalised older adults from the Japan Gerontological Evaluation Study, established in 2013 and robust older adults were followed up for 3 years. We assessed three aspects of community-level social capital (civic participation, social cohesion and reciprocity), and employed a multilevel logistic regression analysis; frailty was evaluated using the Kihon Checklist questionnaire, which has been widely used as a screening tool for frailty in Japan.

Results

In total, 21 940 older adults (from 384 communities) who were robust at baseline (2013) completed the follow-up survey (2016). Participants’ mean age (SD) was 71.8 (4.9) years, and 51.2% were female. In the follow-up period, frailty onset occurred in 622 participants (2.8%). Regarding community-level social capital variables, civic participation was inversely associated with frailty onset (OR=0.94, 95% CI 0.90 to 0.97, p=0.001), after adjusting for individual-level and community-level covariates. The potential intermediate factors of individual social relationships and health behaviours did not largely change the results. This association was found regardless of individual socioeconomic status.

Conclusions

Living in a community with rich civic participation, such as engagement in social activities, was associated with lower frailty onset among older adults. Community development that fosters social participation is essential for frailty prevention.

Development of a health behavior scale for older adults living alone receiving public assistance

Background

To reduce health disparities, prevention of non-communicable diseases (NCD) by performing desirable health behavior in older adults living alone with low socioeconomic status is an essential strategy in public health. Self-perception of personal power and practical skills for daily health are key elements of desirable health behavior. However, methods for measuring these concepts have not been established. This study aimed to develop a health behavior scale for older adults living alone receiving public assistance (HBSO).

Methods

The self-administered mail survey covered 2818 older adults living alone receiving public assistance (OAP) randomly selected from the list of people receiving public assistance (Seikatsu-hogo in Japanese) at all 1250 local social welfare offices across Japan. Construct validity was confirmed using confirmatory factor analysis. Internal consistency was calculated using Cronbach’s alpha. The self-efficacy for health promotion scale and Health check-up status were administered to assess the criteria-related validity of the HBSO.

Results

In total, 1280 participants (response rate: 45.4%) responded, of which 1069 (37.9%) provided valid responses. Confirmatory factor analysis identified 10 items from two factors (self-perception of personal power and practical skills for daily health) with a goodness of fit index of 0.973, adjusted goodness of fit index of 0.953, comparative fit index of 0.954, and root mean square error of approximation of 0.049. Cronbach’s alpha was 0.75. The total HBSO score was significantly positively correlated with the self-efficacy for health promotion scale (r = 0.672, p < 0.001) and the group with health check-up had significantly higher HBSO scores than the group without it (p < 0.001).

Conclusions

The HBSO is an easy-to-self-administer instrument that is reliable and valid for OAP. The HBSO could facilitate appropriate assessment of OAP who need to improve their health behavior to prevent NCD, and could be used to determine effective support.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11347-x.

Do Community Social Capital and Built Environment Associate With Homebound in Older Adults? The JAGES Niigata Study

BACKGROUND

Homebound status is one of the most important risk factors associated with functional decline and long-term care in older adults. Studies show that neighborhood built environment and community social capital may be related to homebound status. This study aimed to clarify the association between homebound status for community-dwelling older adults and community environment-including social capital and neighborhood built environment-in rural and urban areas.

METHODS

We surveyed people aged 65 years and older residing in three municipalities of Niigata Prefecture, Japan, who were not certified as requiring long-term care. The dependent variable was homebound status; explanatory variables were community-level social capital and neighborhood built environment. Covariates were age, sex, household, marital status, socioeconomic status, instrumental activities of daily living, the Geriatric Depression Scale-15, self-rated health, number of diseases under care, and individual social capital. The association between community social capital or neighborhood built environment and homebound status, stratified by rural/urban areas, was investigated using multilevel logistic regression analysis.

RESULTS

Among older adults (n = 18,099), the homebound status prevalence rate was 6.9% in rural areas and 4.2% in urban areas. The multilevel analysis showed that, in rural areas, fewer older adults were homebound in communities with higher civic participation and with suitable parks or pavements for walking and exercising. However, no significant association was found between community social capital or neighborhood built environment and homebound status for urban older adults.

CONCLUSIONS

Community social capital and neighborhood built environment were significantly associated with homebound status in older adults in rural areas.

Can Daily Walking Alone Reduce Pneumonia-Related Mortality among Older People?

Pneumonia-related mortality is expected to increase in aging societies. This prospective cohort study examined whether daily walking (1 hour/day) could reduce pneumonia-related mortality among older people who lacked other exercise habits. We analysed data from Japanese Specific Health Checkup across 82 municipalities in 7 prefectures among participants aged ≥65 years who participated in daily walking but did not regularly engage in other forms of exercise (n = 132,448). Information on walking habits and health-related indicators was assessed at a baseline survey conducted between 2008 and 2014. Pneumonia-related and all-cause mortality were followed for a median of 3.4 years. We performed a competing risk model with propensity score matching to evaluate the association between daily walking habits and pneumonia-related mortality. Our propensity-matched analysis revealed a significant association between daily walking and pneumonia-related mortality among older people who lacked other exercise habits, such that the sub-hazard ratio and 95% confidence intervals were 0.58 (0.39, 0.86). This study extends the findings of previous research on the effects of exercise on pneumonia by demonstrating that daily walking alone is sufficient to reduce pneumonia-related mortality among older people who do not regularly engage in other exercise habits.