Prognostic Value of Objective Social Isolation and Loneliness in Older Patients With Heart Failure: Subanalysis of FRAGILE-HF and Kitasato Cohort.

BACKGROUND: Social factors encompass a broad spectrum of nonmedical factors, including objective (social isolation [SI]) and perceived (loneliness) conditions. Although social factors have attracted considerable research attention, information regarding their impact on patients with heart failure is scarce. We aimed to investigate the prognostic impact of objective SI and loneliness in older patients with heart failure. METHODS AND RESULTS: This study was conducted using the FRAGILE-HF (Prevalence and Prognostic Value of Physical and Social Frailty in Geriatric Patients Hospitalized for Heart Failure; derivation cohort) and Kitasato cohorts (validation cohort), which included hospitalized patients with heart failure aged ≥65 years. Objective SI and loneliness were defined using the Japanese version of Lubben Social Network Scale-6 and diagnosed when the total score for objective and perceived questions on the Lubben Social Network Scale-6 was below the median in the FRAGILE-HF. The primary outcome was 1-year death. Overall, 1232 and 405 patients in the FRAGILE-HF and Kitasato cohorts, respectively, were analyzed. Objective SI and loneliness were observed in 57.8% and 51.4% of patients in the FRAGILE-HF and 55.4% and 46.2% of those in the Kitasato cohort, respectively. During the 1-year follow-up, 149 and 31 patients died in the FRAGILE-HF and Kitasato cohorts, respectively. Cox proportional hazard analysis revealed that objective SI, but not loneliness, was significantly associated with 1-year death after adjustment for conventional risk factors in the FRAGILE-HF. These findings were consistent with the validation cohort. CONCLUSIONS: Objective SI assessed using the Lubben Social Network Scale-6 may be a prognostic indicator in older patients with heart failure. Given the lack of established SI assessment methods in this population, further research is required to refine such methods.

Dose-Responsive Impacts of Social Frailty on Intrinsic Capacity and Healthy Aging among Community-Dwelling Middle-aged and Older Adults: Stronger Roles of Social Determinants over Biomarkers.

OBJECTIVE: The intricate relationship between social determinants, e.g., social frailty, biomarkers and healthy aging remains largely unexplored, despite the potential for social frailty to impact both intrinsic capacity (IC) and functional ability in the aging process. DESIGN: Retrospective longitudinal cohort study. SETTING AND PARTICIPANTS: Participants aged 50+ years from the Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan, stratified into three age groups: 50-64, 65-74 and 75+. MEASUREMENTS: Social frailty was defined based on a score derived from four domains: exclusion from general resources, social resources, social activity, and fulfillment of basic social needs. The scores were categorized as score=0 (no social frailty), 1 (social pre-frailty), and 2+ (social frailty). Multivariable logistic regression and Cox proportional hazard models were employed to examine the dose-responsive relationship between social frailty, low IC, functional and psychological health, and mortality. RESULTS: Of 1015 study participants, 24.9% and 7.9% were classified as social pre-frailty and social frailty, respectively. No significant differences were observed in most biomarkers between those with social frailty and those without. A dose-responsive relationship was found between social frailty and increased risk of low IC (social pre-frailty: aOR 2.20 [95% CI 1.59-3.04]; social frailty: 5.73 [3.39-9.69]). Similar results were found for functional and psychological health. However, no significant association between social frailty and all-cause mortality was found at the 4-year follow-up (social pre-frailty: aHR 1.52 [95% CI 0.94-2.43]; social frailty: 1.59 [0.81-3.09]). CONCLUSIONS: The significant association between social frailty and low IC, functional limitations, cognitive declines, and depressive symptoms underscores the pressing need for research on intervention strategies to enhance healthy aging in the lifespan course.

Impacts of Negative and Positive Life Events on Development of Social Frailty among Community-Dwelling Older Adults.

OBJECTIVES: This study aimed to examine the impact of negative and positive life events on the development of social frailty. DESIGN: Population-based longitudinal study. SETTING AND PARTICIPANTS: This study was set in the Japanese community cohort and included 2174 adults aged ≥65 years without social frailty at baseline. METHODS: We assessed the experiences of 6 negative and positive life events (increase in economic difficulties, illness or injury of spouse, death of family or friends, marriage of children or grandchildren, birth of grandchildren or great-grandchildren, and making new friends) in the 15 months after baseline. We followed the social frailty status of the participants and identified the development of social frailty 48 months after the baseline. Social frailty was operationally defined as having 2 or more of Makizako's 5 items (going out less frequently, rarely visiting friends, not feeling helpful to friends or family, living alone, and not talking to someone daily). RESULTS: Among 2174 participants without social frailty at baseline, 161 (7.4%) developed social frailty after 48 months. Multivariate logistic regression models on each life event and development of social frailty showed that illness or injury of spouse was significantly associated with a higher risk of subsequent social frailty [adjusted odds ratio (OR), 1.74; 95% CI, 1.10-2.74] and making new friends was significantly associated with lower risk of subsequent social frailty (adjusted OR, 0.38; 95% CI, 0.27-0.54). No significant ORs of social frailty were found for other life events. CONCLUSIONS AND IMPLICATIONS: Life events in later life have both positive and negative impacts on the development of social frailty, depending on the nature of the event. To prevent social frailty, it may be important to monitor negative life events and promote positive life events in later life.

Social Frailty and Functional Status in Japanese Older Adults: The Mediating Role of Subjective Cognitive Function.

OBJECTIVE: This study aimed to explore the direct and indirect effects of social frailty on functional state trajectories mediated by subjective cognitive function in older adults. DESIGN: Longitudinal study. SETTING AND PARTICIPANTS: Overall, 514 adults aged ≥65 years living in a suburban area of central Japan were included in this study. METHODS: Five-item social frailty index (going out, visiting, feeling helpful, living alone, and talking to others), subjective cognitive function from the Kihon Checklist, and instrumental activities of daily living disability. Latent growth curve models were applied to examine the longitudinal relations among the variables. RESULTS: During the 6-year follow-up in latent growth curve models, the initial level of social frailty in older adults was negatively associated with that of functional status (ß = -0.53, P < .001), and the rate of change in social frailty was negatively associated with that in functional status (ß = -0.78, P < .001). In the mediation model, the indirect effect from the social frailty level to functional status level through subjective cognitive function level was significant (ß = -0.14, 95% CI -0.29, -0.09); the rates of change in subjective cognitive function mediated the relationship between those in social frailty and functional status (ß = -0.35, 95% CI -0.46, -0.25). CONCLUSIONS AND IMPLICATIONS: This study found that there is an association between social frailty and functional status in Japanese older adults. Subjective cognitive function mediated this relationship. Hence, additional research is required to investigate additional potential factors linking social frailty and functional status in order to gain a better understanding of the underlying mechanisms.

Joint trajectories of physical frailty and social frailty and associations with adverse outcomes: A prospective cohort study.

BACKGROUND: We examined joint trajectories of physical frailty and social frailty as well as their associations with adverse outcomes. METHODS: We conducted a prospective cohort study by using five waves of national data from China Health and Retirement Longitudinal Study (CHARLS 2011-2020), involving 4531 participants aged ≥60 years. We identified 4-year trajectories at three examinations from 2011 to 2015 using parallel process latent class growth analysis. Adverse outcomes were obtained from 2015 to 2020 across two subsequent waves. We calculated hazard ratios (HR) using Cox proportional hazard models. We also conducted analyses by gender. RESULTS: Three joint trajectories were identified, including persistent absence of physical and social frailty (58.5 %), no physical frailty but social frailty (28.1 %), and persistent combination of physical and social frailty (13.4 %). Compared with persistent absence of physical and social frailty, no physical frailty but social frailty and persistent combination of physical and social frailty were associated with higher risk of instrumental activities of daily living (IADL) disability (HR = 1.182-2.020, 95 % CI: 1.014-2.416) and all-cause mortality (HR = 1.440-2.486, 95 % CI: 1.211-3.009). The persistent combination of physical and social frailty was also associated with ADL disability (HR = 2.412, 95 % CI: 1.999-2.911) and falls (HR = 1.410, 95 % CI: 1.196-1.662). Gender differences were observed in relationships between joint trajectories and adverse outcomes. CONCLUSION: Community-dwelling older adults exhibit distinct joint trajectories and those with persistent combination of physical and social frailty experience greatest risk of incident adverse outcomes. Clinical and public health measures targeting physical or social frailty should account for both and be gender-specific.

The effect of social frailty on mental health and quality of life in older people: a cross-sectional study.

PURPOSE: This study aims to evaluate anxiety, depression, loneliness, death anxiety, and quality of life and investigate their relationship with social frailty in the geriatric population. Additionally, it aimed to identify social frailty predictors. METHODS: The study included 136 participants admitted to the geriatric outpatient clinic. The 15-item Geriatric Depression Scale (GDS-15), the Multidimensional Scale of Perceived Social Support (MSPSS), the Cumulative Illness Rating Scale for Geriatrics (CIRS-G), the Templer Death Anxiety Scale (T-DAS), the Loneliness Scale for the Elderly (LSE), the Quality of Life Scale (CASP-19), the Generalized Anxiety Disorder-7 Test (GAD-7), the Tilburg Frailty Indicator (TFI), the FRAIL Scale, and the Clinical Frailty Scale (CFS) were performed. The TFI was used to collect data about social frailty. RESULTS: There were 61.8% females, and the median age (min-max) was 72.2 (65.3-90.3) years. The prevalence rate of social frailty was 26.7%. The rates of depression, loneliness, anxiety, death anxiety, the burden of chronic disease, and frailty were higher in the social frailty group. Furthermore, logistic regression analysis revealed a strong relationship between social frailty status and widowhood (odds ratio (OR) 6.86; 95% confidence interval (95% CI), 2.42-19.37; p < 0.001), moderate to severe anxiety symptoms (OR 4.37; 95% CI 1.08-17.68; p = 0.038), and a TFI-physical frailty score (OR 1.40; 95% CI 1.12-1.73; p = 0.002). CONCLUSION: In older adults, the social dimension of frailty is associated with quality of life and psychological state. Physical frailty and sociodemographic characteristics may affect the development of social frailty.

Social frailty and the incidence of motoric cognitive risk syndrome in older adults.

INTRODUCTION: Various associations between social factors and motoric cognitive risk syndrome (MCR) have been reported. However, whether social frailty (integrated from multiple social factors) is associated with MCR is still unclear. METHODS: We included 4657 individuals without MCR at Round 1 of the NHATS as the discovery sample, and 3075 newly recruited individuals from Round 5 of the NHATS as the independent validation sample. Social frailty was assessed by five social items. MCR was defined as the presence of both subjective cognitive complaints and slow gait speed in individuals without dementia or mobility disability. RESULTS: Compared with normal individuals, those with social frailty had higher risk of incident MCR (hazard ratio [HR]: 1.57, 95% confidence interval [CI]: 1.34-1.84). Each additional unfavorable social item was associated with an increased risk of MCR (HR: 1.32, 95% CI: 1.22-1.43). DISCUSSION: Social frailty was associated with an increased risk of incident MCR in older adults. HIGHLIGHTS: Various associations between social factors and motoric cognitive risk syndrome (MCR) have been reported. Social frailty that integrated from multiple social factors was associated with an increased risk of incident MCR. Social frailty should be included in the early screening of individuals to identify those at higher risk of MCR.

The relationship between social frailty and loneliness in community-dwelling older adults: a cross-sectional study.

BACKGROUND: Social frailty (SF) is associated with multiple adverse health outcomes, yet there has been an inadequate focus on social frailty. The convoy model portrays the social networks through the perspective of the life course, thus providing a framework to explain the occurrence of social frailty. This study aimd to figure out the prevalence of social frailty and loneliness among community-dwelling older adults and to explore their correlations based on convoy model. METHODS: This was a cross-sectional study, and 295 older adults from 10 communities of Zhengzhou in Henan Province participated in the study. Social frailty and loneliness were assessed separately with the Social Frailty Scale and University of California at Los Angeles-Loneliness Scale. The scores of social frailty of the older adults in different characteristic communities were compared by independent sample t-test and single factor analysis of variance. The influencing factors of social frailty were analysed by multiple stepwise linear regression and the structural equation model. The correlation between social frailty and loneliness was analysed by Pearson correlation analysis. RESULTS: The total scores of social frailty and loneliness of the older adults in the community were (2.09 ± 1.53) and (43.19 ± 8.91), respectively. There was a moderate positive correlation between social frailty and loneliness (r = 0.621, P < 0.01). The results of multiple stepwise linear regression analysis showed that age, living styles, balance of payments, and loneliness were the main influencing factors of the social frailty of older adults in the community (F = 27.180, P < 0.001). The structural equation model of social frailty fitted well (χ2 = 47.292, df = 26, χ2/df = 1.819, P = 0.007; RMSEA = 0.053, 95%CI (0.028, 0.076), P = 0.359; GFI = 0.971; AGFI = 0.939; NFI = 0.904; IFI = 0.955; TLI = 0.918; CFI = 0.953; SRMR = 0.0466). CONCLUSIONS: The convoy model had certain applicability in explanation of the relationship between loneliness and social frailty among older adults in community. The incidence of social frailty among the older adults in the community was high, and loneliness was at a medium level. It is necessary to strengthen the intervention of social frailty and loneliness of the older adults in the community, improve the quality of life of the older adults, and promote the development of healthy aging.

Demographic and biological factors in interrelationships between physical, cognitive, psychological, and social frailty in community-dwelling older adults: Data from the Birjand Longitudinal Aging Study (BLAS).

Complex interrelationships may exist among different types of frailty. This study aimed to evaluate the demographic and biological factors that influence the different types of frailty in community-dwelling older adults in Iran through a cross-sectional analysis of data obtained from the Birjand Longitudinal Aging Study. This study is an ongoing cohort study of people aged 60 years and over and employed a multistage stratified cluster random sampling. Anthropometric measures were obtained by nurses. The "Fried frailty phenotype" was defined as physical frailty. Cognitive frailty was assessed using the Mini-Mental State Examination. Social frailty was evaluated by some questions, and psychological frailty was assessed using a patient health questionnaire. Blood samples were taken after overnight fasting. All statistical analyses were performed using Stata12 (Texas, USA) and Python. Some type of frailty had been experienced by 62.27 % of the older adults. Cognitive frailty was the dominant type of frailty (55.69 %). Based on multivariate regression analysis, age, sex, education, and marital status were the influencing factors in all types of frailty. Network analysis revealed that physical, cognitive, psychological, and social frailty had synergistic effects on each other, and age and sex had dominant interactions with frailty types. Cognitive frailty was dominant compared with other types of frailty, indicating the need to detect cognitive frailty at the earliest stage and to implement an appropriate program to manage cognitive frailty in older adults.

Which comorbidity index is more appropriate for geriatric patients from the frailty perspective?

OBJECTIVES: This study examined the relationship between comorbidity indices and physical, psychologic and social frailty and 1-year mortality. METHODS: A cross-sectional analysis was conducted with 136 community-dwelling older adults. The relationship of 4 comorbidity indices (CIRS-G, ACCI, GIC, ICED) with 3 different frailty scales (FRAIL, CFS, TFI) was examined. RESULTS: The participants' median age was 72 years (65-90); 62% of the participants were female. Overall, 15.4% of the participants were living with frailty according to the FRAIL scale, 27.9% of them according to the CFS, 58.8% of them according to the TFI, 47.7% of them living with psychological frailty, and 28.6% of them living with social frailty. There were significant and moderate correlations between CIRS-G and FRAIL, CFS and TFI total scores, TFI-Psychological scores and TFI-Social scores (respectively; p < 0.001, r = 0.530; p < 0.001, r = 0.471; p < 0.001, r = 0.535; p < 0.001, r = 0.402; p = 0.016 r = 0.206). AUC for CIRS-G was calculated as 0.716 among comorbidity indices in predicting the presence of frailty according to the FRAIL scale (p = 0.002, 95%CI [0.60-0.82]), 0.765 according to the CFS (p < 0.001, 95%CI [0.66-0.86]), 0.746 according to the TFI (p < 0.001, 95%CI [0.66-0.82]). CONCLUSION: The CIRS-G index was found to be superior to other indices in predicting the presence of frailty of comorbidity indices, and only GIC scores showed significant results in predicting mortality. However, it would not be the right approach to recommend a single comorbidity index when evaluating older adults.

Effects of the bio-psycho-social frailty dimensions on healthcare utilisation among elderly in Europe: A cross-country longitudinal analysis.

Frailty represents an emerging challenge and has major implications for clinical practice, public health, and the sustainability of health systems. It is a geriatric condition, related to but distinct from disability and multimorbidity and characterized by a diminished physiological reserve of multiple organs. Despite limited consensus and evidence, it has been argued that cognitive and social aspects influence the condition. Therefore, we aim to provide evidence on the importance of taking a broader approach in defining frailty, by investigating the role of its physical, social, and psychological subdomains to predict healthcare utilisation in elderly Europeans. The study is based on the Survey of Health, Ageing and Retirement in Europe (SHARE), and uses 185,169 total observations from 12 European countries included in wave 4, 5, 6, and 8. The analysis investigates the influence of the physical frailty index (a proxy of the Frailty Phenotype definition), psychological and social frailty indexes (built to proxy the Tilburg Frailty Index) on the likelihood of hospitalisation and the number of doctor visits. We addressed missing values due to item non-response with fully conditional specification multivariate imputation and exploited the longitudinal structure of the data to control for time-fixed unobserved characteristics. In addition, our two multivariate models included regressors to correct for demand side factors (health status, socio-economic status, and behavioral risk) as well as for country-specific characteristics. Physical and psychological frailty positively influence the likelihood of hospitalisation (OR = 1.90 and OR = 1.31, respectively) and the number of doctor visits (IRR = 1.30 and IRR = 1.07), while social frailty reduces the two types of health services utilisation (OR = 0.53 and IRR = 0.90). The three frailty dimensions are relevant risk stratification factors in elderly Europeans, and health policies should focus more on the psycho-social aspects of this condition, as a strategy to both contain expenditures and avoid potential healthcare inequalities.

Prevalence and Impact of Social Frailty in Patients with Chronic Obstructive Pulmonary Disease.

Background: Patients with chronic obstructive pulmonary disease (COPD) are more inclined to have a high level of social vulnerability due to their physical and psychological burden. However, to date, there have been no study on social frailty in patients with COPD. This study aimed to investigate the prevalence, characteristics, and impact of social frailty in patients with COPD. Methods: Social frailty was assessed using five items in a questionnaire. A patient was diagnosed with social frailty if responses to two or more items were positive. Four hundred and five patients with COPD were assessed for social frailty, dyspnea, and appetite. We also prospectively examined the number of acute exacerbation and unexpected hospitalization for 1 year. Results: Thirty-six percent of patients with COPD had social frailty. They had reduced appetite and more severe dyspnea [Simplified Nutritional Appetite Questionnaire score: odds ratio (OR) 0.81, 95% confidence interval (CI) 0.69‒0.95, p < 0.01; modified Medical Research Council score: OR 1.42, 95% CI 1.05‒1.93, P = 0.02] than patients without social frailty. Social frailty was not a risk factor for moderate acute exacerbation of COPD but a risk factor for severe acute exacerbation and all-cause unexpected hospitalization (severe acute exacerbation: ß, standardized regression coefficient: 0.13, 95% CI 0.01‒0.25, P = 0.04, unexpected hospitalization: ß 0.17, 95% CI 0.05‒0.29, P = 0.01). Conclusion: The prevalence of social frailty is 36%; however, social frailty has a marked clinical impact in patients with COPD.

Prevalence of social frailty and its associated factors in the older Chinese population: a national cross-sectional study.

BACKGROUND: Social frailty has not been comprehensively studied in China. Our objective is to investigate the prevalence of social frailty among the older population in China, as well as identify relevant factors and urban-rural differences. METHODS: We obtained data from the Fourth Sample Survey of the Aged Population in Urban and Rural China (SSAPUR) database. The study employed a multistage, stratified, cluster-sampling method, recruiting a total of 224,142 adults aged 60 years or older. Participants were interviewed to gather demographic data and information on family, health and medical conditions, health care service status, living environment conditions, social participation, protected rights status, spiritual and cultural life, and health. Social frailty was assessed using the HALFE Social Frailty Index. A score of three or above indicated social frailty. RESULTS: We analyzed a total of 222,179 cases, and the overall prevalence of social frailty was found to be 15.2%. The highest prevalence was observed among participants aged 75-79 years (18.0%). The prevalence of social frailty was higher in rural older populations compared to urban older populations (19.9% in rural vs. 10.9% in urban, P < 0.0001). In urban areas, women had a higher prevalence than men (11.7% in women vs. 9.9% in men, P < 0.0001), while in rural areas, men had a higher prevalence than women (20.6% in men vs. 19.2% in women, P < 0.0001). Multivariate regression analysis revealed that living in a rural/urban environment (OR 1.789, 95% CI 1.742-1.837), absence of a spouse/spousal presence (OR 4.874, 95% CI 4.743-5.009), self-assessed unhealthy/health status (OR 1.696, 95% CI 1.633-1.761), and housing dissatisfaction/satisfaction (OR 2.303, 95% CI 2.233-2.376) were all significantly associated with social frailty. CONCLUSIONS: Using the HALFE social frailty index, we found a prevalence of 15.2% among older people in China, with the highest prevalence observed in the 75-79 age group. Social frailty was more prevalent in rural areas than in urban areas. Various factors, including spousal presence, housing satisfaction, health status, and urban-rural residential differences, were significantly associated with social frailty. These findings highlight the modifiable and non-modifiable factors that contribute to social frailty among older individuals in China.

The mediating effects of social support and depressive symptoms on activities of daily living and social frailty in older patients with chronic heart failure.

OBJECTIVES: To investigate the level of social frailty (SF) in older patients with chronic heart failure (CHF) and examine the mediating role of social support and depressive symptoms between activities of daily living and SF. METHODS: Using a convenience sampling method, 205 older patients with CHF were recruited from China between November 2021 and May 2022. Activities of daily living, social support, depressive symptoms, and SF were assessed using a self-administered questionnaire. Data were analyzed using structural equation modeling. RESULTS: The final model obtained a good fit. Activities of daily living in older patients with CHF were directly related to SF. The multiple mediation analysis revealed that the relationship between activities of daily living and SF was mediated by social support (effect: -0.010, 95% CI [-0.021, -0.003]) and depressive symptoms (effect: -0.011, 95% CI [-0.019, -0.005) separately, and serially (effect: -0.007, 95% CI [-0.012, -0.003). CONCLUSIONS: Social support and depressive symptoms are multiple mediating variables in the relationship between activities of daily living and SF. Activities of daily living can improve patients' SF through social support and depressive symptoms.

The Prognostic Implications of Living Alone on Long-Term Mortality in Patients with Chronic Coronary Syndrome after Percutaneous Coronary Intervention.

Living alone is associated with increased cardiac events and mortality in patients with acute myocardial infarction. However, the prognostic impact of living alone with chronic coronary syndrome (CCS) still remains unclear. In the present study, we examined the relationship between living alone and long-term mortality in patients with CCS who underwent percutaneous coronary intervention (PCI).Consecutive 830 patients with CCS who underwent PCI were enrolled and divided into 2 groups according to whether or not they were living alone at the time of admission (living alone group and non-living alone group). We compared the clinical characteristics between the 2 groups and followed up cardiac mortality. The living alone group was younger compared with the non-living alone group (67.5 versus 70.7 years old, P = 0.017). The prevalence of comorbidities, including coronary risk factors, atrial fibrillation, heart failure, stroke, peripheral artery disease, coronary lesion characteristics, laboratory data, and left ventricular ejection fraction, were comparable between the 2 groups. During the follow-up period (median 1,622 days), 52 cardiac deaths occurred. In the Kaplan-Meier analysis, cardiac mortality was significantly higher in the living alone group than in the non-living alone group (24% versus 11%, P = 0.008). In the multivariable Cox proportional hazard analyses after adjusting for possible confounding factors, living alone was an independent predictor of cardiac mortality (hazard ratio, 2.426, 95% confidence interval 1.225-4.804, P = 0.011).Among CCS patients who underwent PCI, living alone was associated with high long-term cardiac mortality.

Fear of falling as a mediator in the association between social frailty and health-related quality of life in community-dwelling older adults.

BACKGROUND: Social frailty is associated with Fear of Falling (FoF) and health-related quality of life (HrQoL). However, how social frailty simultaneously influences FoF and HrQoL remains unclear. The study aims to understand the links between social frailty, FoF, and HrQoL in older adults and the mediating role of FoF in the relations between social frailty and HrQoL. METHODS: In this cross-sectional survey, 1,933 community-dwelling older adults from Changhua County, Taiwan, were interviewed using a self-administrated questionnaire. In total, 1,251 participants with complete data were included for analysis. Data were analyzed using the SPSS PROCESS macro. A simple mediation was employed using social frailty as the independent variable, FoF as the mediator variable, and HrQoL as the outcome variable. RESULTS: Social frailty was associated with HrQoL and indirectly with HrQoL through FoF, and FoF was directly associated with HrQoL. Of the 5-item social frailty index, "going out less frequently" was correlated with HrQoL and indirectly with HrQoL through FoF. Individuals who felt unhelpful toward family or friends had the worst physical HrQoL and did not talk to someone daily had the most negative influence on mental HrQoL. CONCLUSIONS: Social frailty can directly and indirectly, through FoF decrease HrQoL. It also emphasizes the importance of social connectivity in reducing the risk of falls. This study points to the need for social connectivity and fall prevention programs as essential components of strategies to enhance the health and well-being of community-dwelling older adults.

Analysis of the status of social frailty in Chinese older adults with cardiovascular and cerebrovascular diseases: a national cross-sectional study.

Background: Social frailty is one type of frailty. Physical frailty with cardiovascular and cerebrovascular diseases (CCVD) have been studied a lot, but less research on social frailty. Objectives: To study the prevalence, related risk factors and regional differences of social frailty with CCVD in Chinese older adults. Methods: SSAPUR was a national cross-sectional survey. Participants aged 60 years or older were recruited in August 2015. Demographic data and information regarding family, health and medical conditions, living environment conditions, social participation, spiritual and cultural life, and health condition were obtained. Social frailty was assessed in five areas (HALFE Social Frailty Index) including inability to help others, limited social participation, loneliness, financial difficulty, and living alone. The prevalence of CCVD with social frailty, related risk factors and regional differences in CCVD with social frailty were studied. Results: A total of 222,179 participants were enrolled. 28.4% of them had CCVD history. The prevalence of social frailty in the CCVD group was 16.03%. In CCVD participants, compared with the group without social frailty, there were significant differences in gender, age, urban-rural distribution, ethnicity, marital status, and education levels in the social frailty group. Significant differences were also found in physical exercise participation, health status, cataract, hypertension, diabetes mellitus, hospitalization within 1 year, self-assessed health status, crutch or wheelchair usage, urinary and fecal incontinence, need for care from others, fall history, housing satisfaction, and self-assessed happiness in the social frailty group. Women with CCVD had a higher prevalence of social frailty than men. By age in CCVD with social frailty, the highest prevalence was found in participants 75-79 years old. The prevalence of CCVD was significant difference between social frailty in urban and rural group. The prevalence of social frailty with CCVD was significantly different in different regions. The highest prevalence was 20.4% in southwest area, and the lowest prevalence was 12.5% in northeast with area. Conclusion: The prevalence of social frailty among the CCVD older adults is high. Factors such as gender, age, region, urban-rural residence, and the state of the disease may be associated with social frailty.

Depressive and Biopsychosocial Frailty Phenotypes: Impact on Late-life Cognitive Disorders.

In older age, frailty is a detrimental transitional status of the aging process featuring an increased susceptibility to stressors defined by a clinical reduction of homoeostatic reserves. Multidimensional frailty phenotypes have been associated with all-cause dementia, mild cognitive impairment (MCI), Alzheimer's disease (AD), AD neuropathology, vascular dementia, and non-AD dementias. In the present article, we reviewed current evidence on the existing links among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders, also examining common pathways and mechanisms underlying these links. The depressive frailty phenotype suggested by the construct of late-life depression (LLD) plus physical frailty is poorly operationalized. The biopsychosocial frailty phenotype, with its coexistent biological/physical and psychosocial dimensions, defines a biological aging status and includes motivational, emotional, and socioeconomic domains. Shared biological pathways/substrates among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders are hypothesized to be inflammatory and cardiometabolic processes, together with multimorbidity, loneliness, mitochondrial dysfunction, dopaminergic neurotransmission, specific personality traits, lack of subjective/objective social support, and neuroendocrine dysregulation. The cognitive frailty phenotype, combining frailty and cognitive impairment, may be a risk factor for LLD and vice versa, and a construct of depressive frailty linking physical frailty and LLD may be a good dementia predictor. Frailty assessment may enable clinicians to better target the pharmacological and psychological treatment of LLD. Given the epidemiological links of biopsychosocial frailty with dementia and MCI, multidomain interventions might contribute to delay the onset of late-life cognitive disorders and other adverse health-related outcomes, such as institutionalization, more frequent hospitalization, disability, and mortality.

Reciprocal relationship between physical and social frailty among community-dwelling older adults.

OBJECTIVE: Both physical and social frailty are risk factors for major adverse health-related outcomes and influence each other. However, the longitudinal causal relationship between physical and social frailty has not been clarified. This study aimed to determine the reciprocal relationship between physical and social frailty by age group. METHODS: This study analyzed longitudinal data from a cohort study of older adults aged 65 years or older living in Obu City, Aichi Prefecture, Japan. The study included 2568 participants who participated in both a baseline assessment in 2011 and a follow-up assessment four years later. Participants participated in assessments of physical and cognitive function. Physical frailty was assessed using the Japanese version of the Cardiovascular Health Study criteria. Social frailty was assessed with five questions about daily social activities, social roles, and social relationships. A total frailty score was calculated for each frailty type and used in the cross-lagged panel analysis. The reciprocal relationship between physical and social frailty status was analyzed using a cross-lagged panel model in each of the young-old (n = 2006) and old-old (n = 562) groups. RESULTS: In the old-old group, baseline physical frailty status predicted social frailty status four years later, and social frailty status at baseline predicted physical frailty status four years later. In the young-old group, the effect of social frailty status at baseline on physical frailty at four years was significant; however, the cross-lag effect from baseline physical frailty status to social frailty status at four years was insignificant, indicating that social frailty preceded physical frailty. CONCLUSION: The reciprocal relationship between physical and social frailty differed by age group. The results of this study suggest the importance of considering age when planning strategies to prevent frailty. Although a causal relationship between both physical and social frailty was observed in old-old, social frailty preceded physical frailty in the young-old, suggesting that early prevention of social frailty is important for the prevention of physical frailty.