Interplay of Physical, Psychological, and Social Frailty among Community-Dwelling Older Adults in Five European Countries: A Longitudinal Study.

Frailty is a dynamic condition encompassing physical, psychological, and social domains. While certain factors are associated with overall or specific frailty domains, research on the correlations between physical, psychological, and social frailty is lacking. This study aims to investigate the associations between physical, psychological, and social frailty in European older adults. The study involved 1781 older adults from the Urban Health Centres Europe project. Baseline and 1-year follow-up data were collected on physical, psychological, and social frailty, along with covariates. Linear regression analyzed unidirectional associations, while cross-lagged panel modeling assessed bi-directional associations. Participants' mean age was 79.57 years (SD = 5.54) and over half were female (61.0%). Physical and psychological frailty showed bi-directional association (effect of physical frailty at baseline on psychological frailty at follow-up: ß = 0.14, 95%CI 0.09, 0.19; reversed direction: ß = 0.05, 95%CI 0.01, 0.09). Higher physical frailty correlated with increased social frailty (ß = 0.05, 95%CI 0.01, 0.68), but no association was found between social and psychological frailty. This longitudinal study found a reciprocal relationship between physical and psychological frailty in older adults. A relatively higher level of physical frailty was associated with a higher level of social frailty. There was no association between social and psychological frailty. These findings underscore the multifaceted interplay between various domains of frailty. Public health professionals should recognize the implications of these interconnections while crafting personalized prevention and care strategies. Further research is needed to confirm these findings and investigate underlying mechanisms.

Interventions that have potential to help older adults living with social frailty: a systematic scoping review.

BACKGROUND: The impact of social frailty on older adults is profound including mortality risk, functional decline, falls, and disability. However, effective strategies that respond to the needs of socially frail older adults are lacking and few studies have unpacked how social determinants operate or how interventions can be adapted during periods requiring social distancing and isolation such as the COVID-19 pandemic. To address these gaps, we conducted a scoping review using JBI methodology to identify interventions that have the best potential to help socially frail older adults (age ≥65 years). METHODS: We searched MEDLINE, CINAHL (EPSCO), EMBASE and COVID-19 databases and the grey literature. Eligibility criteria were developed using the PICOS framework. Our results were summarized descriptively according to study, patient, intervention and outcome characteristics. Data synthesis involved charting and categorizing identified interventions using a social frailty framework.  RESULTS: Of 263 included studies, we identified 495 interventions involving ~124,498 older adults who were mostly female. The largest proportion of older adults (40.5%) had a mean age range of 70-79 years. The 495 interventions were spread across four social frailty domains: social resource (40%), self-management (32%), social behavioural activity (28%), and general resource (0.4%). Of these, 189 interventions were effective for improving loneliness, social and health and wellbeing outcomes across psychological self-management, self-management education, leisure activity, physical activity, Information Communication Technology and socially assistive robot interventions. Sixty-three interventions were identified as feasible to be adapted during infectious disease outbreaks (e.g., COVID-19, flu) to help socially frail older adults. CONCLUSIONS: Our scoping review identified promising interventions with the best potential to help older adults living with social frailty.

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.

Association between mental health and sleep condition with social frailty: evidence from ardakan cohort study on aging (ACSA).

OBJECTIVE: This population-based study aimed to evaluate the association of mental health and several sleep conditions with Social Frailty (SF) in a sample of Iranian middle-aged and older adults. METHOD: This cross-sectional study was conducted using data from the Ardakan Cohort Study on Aging (ACSA). SF was assessed by five questions: inability to help others, limited social participation, loneliness, financial difficulty, and not having anyone to talk to (HALFT). Based on the responses, the participants were divided into three groups: social robust (a score of 0), pre-SF (a score of 1-2), and SF (a score of ≥3). Mental health factors included depression and anxiety. Within the domain of sleep conditions, considerations included sleep duration, quality, subjective sleep health, and daytime sleepiness. The logistic regression models were employed to analyze the data. RESULTS: A total of 5782 subjects participated in the study, with females comprising 50.7% of the sample. This study revealed the total prevalence of pre-SF and SF were 76.4 and 9.3%, respectively. After adjusting for age, sex, marital status, education, number of comorbidities, and mental health, in the age group of 50-60 years, anxiety (borderline and abnormal compared to normal, OR = 1.49, 95% CI: 1.05-2.11 and OR = 1.98, 95% CI: 1.26-3.12, respectively) were associated with SF. Similarly, in the age group of 60 years and above, only depression was associated with SF (OR = 2.24, 95% CI: 1.45-3.44). CONCLUSION: These findings imply that mental health might contribute to SF in the middle-aged and older Iranian population.

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.

Relationship between the spread of COVID-19, social frailty, and depressive symptoms in patients with heart failure.

In community-dwelling older people, coronavirus disease 2019 (COVID-19) has been reported to be associated with the development of frailty and depressive symptoms. We aimed to investigate whether the spread of COVID-19 is associated with the development of frailty in patients with heart failure (HF). The presence of the multi-domain of frailty in 257 patients with HF was assessed at hospital discharge. The spread of COVID-19 was significantly associated with the development of social frailty and depressive symptoms. Evaluation of these symptoms during hospitalization would support disease management and understanding of their social and psychological conditions.

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.

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.

Social frailty as a predictor of adverse outcomes among older adults: a systematic review and meta-analysis.

BACKGROUND: With the aging of the population, frailty has attracted much attention, and the social dimension of frailty, namely social frailty, has also attracted attention. Studies have shown that social frailty can bring some adverse effects to the elderly, such as physical and cognitive function. AIMS: To explore the risk of adverse health outcomes in older adults with social frailty compared with older adults with non-social frailty. METHODS: Five databases were systematically searched from inception to February 28, 2023. Screening, data extraction and quality assessment were conducted independently by two researchers. The included studies were longitudinal studies of adverse outcomes in community-dwelling socially frail older adults, and the quality of each study was assessed using the Newcastle‒Ottawa Scale. RESULTS: A total of 15 studies were included based on the inclusion criteria, of which 4 were subjected to meta-analysis. The mean age of the included population ranged from 66.3 to 86.5 years. According to existing research, social frailty was predictive of some adverse outcomes, such as incident disability, depressive symptoms, and reduced neuropsychological function. The meta-analysis showed that social frailty had a significant predictive effect on mortality among older adults [HR = 2.27, (95% CI = 1.03-5.00)]. CONCLUSION: In community-dwelling older adults, social frailty was a predictor of mortality, incident disability, depressive symptoms and other adverse outcomes. Social frailty had a negative impact on older adults, so it was necessary to strengthen the screening of social frailty to reduce the incidence of adverse outcomes.

Biopsychosocial frailty and mild cognitive impairment subtypes: Findings from the Italian project on the epidemiology of Alzheimer's disease (IPREA).

INTRODUCTION: Frailty is a critical intermediate status of the aging process including physical, cognitive, and psychosocial phenotypes. We operationalized a biopsychosocial frailty construct, estimating its association with mild cognitive impairment (MCI) and its subtypes. METHODS: In 1980, older individuals from the population-based Italian PRoject on the Epidemiology of Alzheimer's disease (IPREA), we investigated cross-sectional associations among biopsychosocial frailty, MCI, and its subtypes. RESULTS: Participants with biopsychosocial frailty showed an increased odds ratio (OR) of MCI [OR: 4.36; 95% confidence interval (CI): 2.60-7.29; Fisher's exact p < 0.01], particularly for nonamnestic MCI single domain (naMCI-SD, OR:3.28; 95% CI: 1.35-7.97; Fisher's exact p = 0.02) and for nonamnestic MCI multiple domain (naMCI-MD, OR:6.92; 95% CI: 3.37-14.21; Fisher's exact p < 0.01). No statistically significant associations between amnestic MCI single or multiple domain and biopsychosocial frailty were observed. DISCUSSION: In a large, older Italian cohort, a biopsychosocial frailty phenotype was associated with MCI, in particular, could be associated with some of its subtypes, that is, naMCI-SD, and naMCI-MD.

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.

The prevalence of social frailty among older adults: A systematic review and meta-analysis.

Social frailty is a geriatric public health problem that deeply affects healthy aging. Currently, evidence on the prevalence and factors associated with social frailty in older adults remains unclear. Our study aims to estimate the prevalence and related factors of social frailty in older adults. This study retrieved nine electronic databases searched through July 5th, 2022. The prevalence of social frailty was pooled using Stata software. It was found that older adults suffered from a "moderate" level of social frailty. We found a higher prevalence of social frailty in the United Kingdom, Greece, Croatia, The Netherlands, and Spain, in people over 75 years, in hospitals, and during the Coronavirus Disease 2019 (COVID-19). We believed that countries, age, research sites, and the pandemic of COVID-19 were influencing factors of social frailty among older adults. These findings may provide a theoretical basis for the development of ameliorating social frailty among older adults.

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.

Adaptation of a social vulnerability index for measuring social frailty among East African women.

BACKGROUND: The number of older women living with HIV in Africa is growing, and their health outcomes may be adversely impacted by social frailty, which reflects deficits in social resources that accumulate over the lifespan. Our objective was to adapt a Social Vulnerability Index (SVI) originally developed in Canada for use in a study of older women living with or without HIV infection in Mombasa, Kenya. METHODS: We adapted the SVI using a five-step process: formative qualitative work, translation into Kiswahili, a Delphi procedure, exploration of potential SVI items in qualitative work, and a rating and ranking exercise. Four focus group discussions (FGD) were conducted (three with women living with HIV and one with HIV-negative women), and two expert panels were constituted for this process. RESULTS: Themes that emerged in the qualitative work were physical impairment with aging, decreased family support, a turn to religion and social groups, lack of a financial safety net, mixed support from healthcare providers, and stigma as an added burden for women living with HIV. Based on the formative FGD, the expert panel expanded the original 19-item SVI to include 34 items. The exploratory FGD and rating and ranking exercise led to a final 16-item Kenyan version of the SVI (SVI-Kenya) with six domains: physical safety, support from family, group participation, instrumental support, emotional support, and financial security. CONCLUSIONS: The SVI-Kenya is a holistic index to measure social frailty among older women in Kenya, incorporating questions in multiple domains. Further research is needed to validate this adapted instrument.

Osteosarcopenia, the co-existence of osteoporosis and sarcopenia, is associated with social frailty in older adults.

BACKGROUND: Osteosarcopenia is a newly described, aging-associated condition. Social frailty is an important condition whose prevalence may have risen by physical distancing during the coronavirus disease 2019 pandemic. However, the relationship between these two remains unclear. AIMS: To examine the association between osteosarcopenia and social frailty. METHODS: This cross-sectional study was conducted using data from outpatients visiting general geriatric hospital frailty clinics. Bone mineral density (BMD) and muscle mass were measured using dual X-ray absorptiometry. Osteoporosis was defined as a BMD of < 70% of the young adult mean, according to the Japan Osteoporosis Society. Sarcopenia was diagnosed as per the Asian Working Group for Sarcopenia 2019 recommendation. Osteosarcopenia was defined as the co-existence of osteoporosis and sarcopenia. We defined social frailty using a questionnaire comprising four items: general resources, social resources, social behavior, and basic social needs. Ordinal logistic regression analysis was performed with social frailty status and osteosarcopenia as the dependent and independent variables, respectively. RESULTS: We included 495 patients (mean age = 76.5 ± 7.2 years) in the analysis; of these, 58.2% were robust and 17.2%, 13.5%, and 11.1% had osteoporosis alone, sarcopenia alone, and osteosarcopenia, respectively. Social frailty prevalence increased stepwise from 8.0% in robust patients to 11.8%, 17.9%, and 29.1% among those with osteoporosis alone, sarcopenia alone, and osteosarcopenia, respectively (P < 0.001). Logistic regression analysis revealed that only osteosarcopenia was significantly associated with social frailty (pooled odds ratio: 2.117; 95% confidence interval: 1.104-4.213). DISCUSSION: Comprehensive assessment of osteosarcopenia and social frailty is needed for disability prevention in older adults.

Multidomain Frailty as a Therapeutic Target in Elderly Patients with Heart Failure.

Heart failure and frailty share aging as a strong risk factor. The prevalence of frailty has been shown to be particularly high in elderly patients with heart failure. Moreover, it is important not to confine frailty to physical aspects. Rather, it should be considered to consist of multiple domains, including physical disability, psychiatric disorders, cognitive impairment, depression, and social disconnection. Development of interventions that can improve frailty domains are not well established, although observational studies have evaluated the association of various frailty domains and their prognostic impact. Some interventions, including resistance exercise, functional exercise, and respiratory muscle training have been demonstrated to hold potential for improving physical frailty. In terms of cognitive dysfunction, previous studies have demonstrated that exercise therapy is also effective for cognitive dysfunction. The social domain of frailty is one of the least investigated domains, particularly in patients with heart failure. However, heart failure is also strongly associated with physical frailty and cognitive impairment and has a poor prognosis in old patients. The prevalence of social frailty in elderly patients who need hospitalization due to heart failure is higher than previously thought. Very few studies have tested interventions targeting social frailty. Frailty and heart failure affect each other, and both are becoming increasingly important in society. In this article, we review the physical, cognitive, and social domains of frailty and the possible interventions to improve them in patients with heart failure.

Influence of combined cognitive impairment and social frailty on physical frailty in community-dwelling older adults.

PURPOSE: This study aimed to identify the influence of combined cognitive impairment and social frailty on physical frailty. METHODS: This study analyzed secondary data from the 2020 National Survey of Older Koreans, which was collected nationwide from community-dwelling individuals aged ≥ 65 years. RESULTS: Combined cognitive impairment and social frailty (odds ratio (OR) =4.44, 95% confidence interval (CI)=3.14-6.28), cognitive impairment and social pre-frailty (OR =2.38, 95% CI =1.70-3.34), noncognitive impairment and social frailty (OR =2.16, 95% CI =1.54-3.04), and noncognitive impairment and social pre-frailty (OR =1.40, 95% CI =1.02-1.91) groups were more likely to be physically frail than noncognitive impairment and socially robust groups after adjusting for sociodemographic and health-related factors. CONCLUSION: Healthcare providers need to be aware that older adults who suffer from both cognitive impairment and social frailty may be vulnerable to physical frailty.

Reinforcement Effects of Social Network Intervention during Nutritional Supplementation in Frail Older Adults.

INTRODUCTION: Chronic undernutrition and a homebound state are corelated and are both important components of frailty. However, whether social network intervention combined with protein supplementation is an effective strategy to prevent functional decline among frail older adults is unclear. METHODS: 150 frail older adults participated in a 3-month, 3-armed, community-based clinical trial and were randomly assigned to one of 3 groups: high-protein supplementation (additional 27 g of protein/day), the Social Nutrition Program (additional 27 g of protein/day and social network intervention), or a control group. Those assigned to the Social Nutrition Program group received individual counseling from 1 dietitian and 1 social worker during 6 home visits and were encouraged to participate in 4 sessions of community-based cooking activities, the social kitchen program. Primary outcomes were changes in Physical Functioning (PF) and the Timed Up and Go (TUG) test and were assessed at 0 months (baseline), 1.5 months (interim), and 3, 6, and 9 months (postintervention). RESULTS: Compared with the control group, participants in the Social Nutrition Program showed an average improvement of 2.2-3.0 s in the TUG test and this improvement persisted for 3 months after the end of the program (post hoc p ≤ 0.030). The Social Nutrition Program also increased PF by 1.3 points while the control group showed a 1.4 point reduction at the end of the program (post hoc p = 0.045). Improvement in PF and TUG results was primarily observed for the socially frail subgroup of older adults in the Social Nutrition Program group rather than the physically frail subgroup. Frequency of leaving home functioned as a mediator (p = 0.042) and explained 31.2% of the total effect of the Social Nutrition Program on PF change. CONCLUSION: Our results indicate that social network intervention combined with protein supplementation can improve both the magnitude and duration of functional status among frail older community-dwelling adults.

Factors associated with physical, psychological and social frailty among community-dwelling older persons in Europe: a cross-sectional study of Urban Health Centres Europe (UHCE).

BACKGROUND: Frailty is an age-related condition resulting in a state of increased vulnerability regarding functioning across multiple systems. It is a multidimensional concept referring to physical, psychological and social domains. The purpose of this study is to identify factors (demographic characteristics, lifestyle factors and health indicators) associated with overall frailty and physical, psychological and social frailty in community-dwelling older people from five European countries. METHODS: This cross-sectional study used baseline data from 2289 participants of the Urban Health Center European project in five European countries. Multivariable logistic regression models were used to assess associations of the factors with overall frailty and the three frailty domains. RESULTS: The mean age was 79.7 (SD = 5.7). Participants who were older, were female, had secondary or equivalent education, lived alone, not at risk of alcohol use, were less physically active, had multi-morbidity, were malnourished or with a higher level of medication risk, had higher odds of overall frailty (all P < 0.05). Age was not associated with psychological and social frailty; sex was not associated with social frailty; smoking and migration background was not associated with overall frailty or any of its domains. There existed an interaction effect between sex and household composition regarding social frailty (P < 0.0003). CONCLUSIONS: The present study contributed new insights into the risk factors for frailty and its three domains (physical, psychological and social frailty). Nurses, physicians, public health professionals and policymakers should be aware of the risk factors of each type of frailty. Furthermore, examine these risk factors more comprehensively and consider overall frailty as well as its three domains in order to further contribute to decision-making more precisely on the prevention and management of frailty. TRIAL REGISTRATION: The intervention of the UHCE project was registered in the ISRCTN registry as ISRCTN52788952 . The date of registration is 13/03/2017.

Physical frailty predicts the development of social frailty: a prospective cohort study.

BACKGROUND: It has not been clarified whether physical frailty symptoms predict social. frailty. The purpose of this study was to elucidate the effect of physical frailty on social frailty, and to determine which domains of physical frailty predict the development of social frailty. METHODS: We employed a two-year prospective cohort study. A total of 342 socially robust community-dwelling older adults were recruited. We used a modified social frailty screening index consisting of four social domains including financial difficulties, living alone, social activity, and contact with neighbors. Physical frailty status was also assessed at baseline. At the two-year follow-up, we assessed the development of social frailty. Social status was assessed using four social subdomains for the primary analysis. Social status was assessed using the two social subdomains of social activity and contact with neighbors, which would be affected by the physical frailty component, for the secondary analysis. The risk ratios (RR) of physical frailty for the development of social frailty were estimated. RESULTS: Although physical frailty symptoms were not a significant risk factor for future development of social frailty as assessed by four social subdomains (adjusted RR 1.39, 95% CI 0.95-2.15), it became significant when development of social frailty was assessed by the two social subdomains (adjusted RR 1.78, 95% CI 1.10-2.88). An analysis using the physical frailty subdomain showed that slow gait speed (adjusted RR 3.41, 95% CI 1.10-10.53) and weakness (adjusted RR 1.06, 95% CI 1.01-1.12) were independent risk factors for development of social frailty as assessed by two social subdomains. CONCLUSIONS: Physical frailty symptoms predict the development of social frailty. Among physical frailty subdomains, gait speed and muscle strength are critical independent risk factors for future decline in the social aspect. The prevention of physical frailty, especially by maintaining gait ability and muscle strength, may be effective for avoiding social frailty.