The relationship between social frailty and cognitive impairment among older adults: the role of various types of internet use.

Introduction: This study aimed to explore the role of internet use in the relationship between social frailty and cognitive function among Korean older adults. Methods: A nationally representative survey of community-dwelling older adults in Korea was used in the analysis (N = 8,639). Results: All types of internet use were significantly associated with cognitive impairment and played a significant role in the relationship between social frailty and cognitive impairment. The advantage of internet use for information searching (OR 0.40, 95% CI 0.35-0.46) was the greatest for cognitive function, followed by internet use for instrumental use (OR 0.59, 95% CI 0.53-0.66). Internet use for entertainment exhibited the greatest influence in the relationship between social frailty and cognitive impairment, with interpersonal communication ranking second in significance. Internet use regulates the relationship between social frailty and cognitive impairment in older adults. The influences of internet use vary depending on the type of online activity and the levels of social frailty. Discussion: This highlights the importance of considering various forms of internet use when developing non-pharmacological interventions to mitigate the impact of social frailty on cognitive decline.

Multidimensional frailty and sleep quality in late adulthood: A UK biobank examination.

Frailty and sleep disturbances are two major concerns in late adulthood, that not only profoundly threaten health and wellbeing at the individual level but place enormous demands on our healthcare systems. Given that both constructs represent dynamic states that are preventable and reversible, understanding the potential pathways to and effects of these variables on one another is critical in providing effective and tailored support. However, despite growing interest in the relationship between sleep and frailty, only one study to date has directly explored their potential bidirectionality. Accordingly, this study was designed to extend the current understanding by investigating the reciprocal relationship of frailty and sleep quality at the multidimensional level. Specifically, the bidirectionality of these relationships was considered separately for physical, psychological, cognitive, and social frailty. Four random-intercept cross-lagged panel models with three time points were conducted, using 3192 older adults (Mage = 60.21; 46.37% female at baseline) from the UK Biobank. The results revealed that while physical, psychological, and cognitive frailty were neither predictive of, nor predicted by, sleep quality, social frailty and sleep share a reciprocal relationship. These data therefore offer important preliminary evidence for the efficacy of early intervention and prevention strategies aimed at enhancing sleep quality to reduce social frailty, and vice versa.

Trends in the Assessment of Social Frailty in Community-Dwelling Older Adults: A Scoping Review.

Assessment of social frailty is crucial; however, definitions and assessment methods lack standardization. This review examined social frailty in community-dwelling older adults, highlighted trends in the definitions and assessment items used to date, and identified issues in assessing social frailty. The PubMed and CINAHL databases were searched for articles related to social frailty published up to 2022, and 95 articles were included in this review. The Bunt classification was used to assess the trends in items considered indicative of social frailty. Existing rating scales for social frailty were used in 82% of studies, and cut-off values were defined in 62% of studies. Factors such as the level of education; social interaction (weekly outings); and feelings of abandonment, emptiness, and lack of social integration (absence of a partner and non-participation in social organizations or activities) were evaluated less frequently. This study revealed that subjective feelings, including the fulfillment of social needs and participation in social activities, are less commonly considered in the assessment of social frailty.

Prevalence and Prognostic Impact of Multiple Frailty Domain in Japanese Older Adults.

OBJECTIVES: In this observational study, we aimed to evaluate the independent and overlapping effects of multiple frailty domains on long-term care insurance (LTCI) use. DESIGN: Population-based cohort design. SETTING AND PARTICIPANTS: In total, 9804 community-dwelling older adults were recruited from the National Center for Geriatrics and Gerontology-Study of Geriatric Syndromes. METHODS: The physical domain of frailty was assessed using the revised Japanese version of the Cardiovascular Health Study criteria. The cognitive domain of frailty was identified as impairment of memory, attention, executive function, or processing speed using standardized thresholds established for each domain in population-based cohorts. The social domain was operationalized using the National Center for Geriatrics and Gerontology-Social Frailty Scale. The use of LTCI was prospectively determined over 60 months using data extracted from the Japanese long-term care insurance system. RESULTS: The data from 7745 participants were analyzed, of whom 793 (10.2%) required LTCI certification within 60 months (interquartile range: 60-60 months). The Kaplan-Meier curve analysis demonstrated that a high number of frailty domains was associated with incident LTCI use. The proportions of incident LTCI use were 6.0%, 12.4%, 30.1%, and 43.9% for non-frail participants and those with impairments in 1, 2, and 3 frailty domains, respectively. In the multivariate Cox regression model, physical, cognitive, and social domain impairments independently increased the risk of incident LTCI use [physical domain impairment, hazard ratio (HR), 1.67; 95% CI, 1.39-2.01; cognitive domain impairment, HR, 1.59; 95% CI, 1.37-1.84; social domain impairment, HR, 1.26; 95% CI, 1.05-1.50]. CONCLUSIONS AND IMPLICATIONS: Overlapping frailty domains were strongly associated with incident LTCI use among community-dwelling older adults. These findings emphasize the importance of assessing multiple frailty domains and tailoring interventions according to the unique circumstances of older adults to prevent functional disabilities.

Prevalence and potential influencing factors for social frailty among community-dwelling older adults: a systematic review and meta-analysis.

OBJECTIVE: To explore the prevalence and potential influencing factors of social frailty among community-dwelling older adults from a global perspective. METHODS: Systematic searches were conducted on multiple databases including CNKI, VIP, Wanfang Data, CBM, Pubmed, Cochrane Library, Web of Science, and Embase from inception to January 9, 2024. Two researchers performed a thorough literature search, gathered data, and independently evaluated the quality of the articles. RESULTS: 2,426 literatures were examined, 45 were found to meet the specified criteria for inclusion, encompassing 314,454 participants. The combined prevalence of social pre-frailty and social frailty among community-dwelling older adults were found to be 34.5% and 21.1%, respectively. Depression, activities of daily living (ADL), physical inactivity, motor deficits, cognitive impairment, and physical frailty are potential risk factors. CONCLUSIONS: Social pre-frailty and social frailty are frequent challenges faced by older adults living in the community. The prevalence of these conditions has been on the rise in recent years, underscoring the importance of implementing effective interventions. Early identification and intervention for individuals at risk of social frailty are essential for promoting healthy and active aging globally.

Profiles of physical frailty, social frailty, and cognitive impairment among older adults in rural areas of China: a latent profile analysis.

Background: As China rapidly ages, it has now become a deeply aging society with the largest number of older individuals in the world. The issue is particularly severe in rural areas. With the aging population growing and the older population expanding, health problems are becoming more prevalent among older individuals, particularly frailty and cognitive impairments. This study aimed to identify the profiles of physical frailty, social frailty, and cognitive impairment among older adults and explore the influencing factors. Methods: In this cross-sectional study, participants were recruited from six villages in four cities in Shandong Province, China from July to October 2023 through cluster random sampling. Latent profile analysis was used to determine the profiles of physical frailty, social frailty, and cognitive impairment. Chi-square tests and Mann-Whitney U tests were used for univariate analysis, while binary logistic regression was used to analyze the related factors. Results: Seven hundred and sixty-nine older adult care in rural areas showed two profiles: the "high cognitive function and low frailty" group (73.7%, n = 567) and the "low cognitive function and high frailty" group (26.3%, n = 202). A binary logistic regression found that older people were more likely to be aged 80 or older (OR = 2.253, p = 0.029), have a low income level (OR = 1.051, p = 0.007), have one or two (OR = 2.287, p = 0.004), or more than three chronic diseases (OR = 3.092, p = 0.002), and report moderate (OR = 3.406, p = 0.024) or poor health status (OR = 9.085, p < 0.001) in the "low cognitive function and high frailty" group. Meanwhile, older adults who have completed high school (OR = 0.428, p = 0.005) or junior college and above (OR = 0.208, p = 0.009), and engage in adequate physical activity (OR = 0.319, p < 0.001) were more likely to be in the "high cognitive function and low frailty" group. Conclusion: In the future, medical professors should increasingly prioritize promptly identifying and intervening in cognitive decline and frailty status in older individuals without delay.

Improvement of social frailty is associated with stability of nonparametric characteristics of the rest-activity rhythm and improvement of the usual walking ability in the elderly.

Our study, conducted between April 2022 and January 2024, was aimed at clarifying components of the rest-activity rhythm (RAR) involved in improvement of social frailty state before or after a 3-month multi-component exercise intervention in the elderly. Participants were recruited from the general population in Akita prefecture, Japan. We administered a four-item social frailty screening questionnaire to classify the severity of social frailty in each participant before and after the 3-month intervention. The RAR parameters were measured on an Actiwatch Spectrum Plus device worn by the subjects for 7 continuous days. As the final sample, 65 participants classified into the improved/maintained group (n = 36) or the deteriorated group (n = 29) according to the change in the social frailty classification after the intervention were included in the analysis. The results of a binomial logistic regression analysis showed significantly higher values of interdaily stability (IS) and usual walking speed at the post-test after the intervention. Based on our findings, we propose that stability of the rest-activity rhythm related to synchronization with external stimuli (such as social effect and physical activity) might have clinical impact on improvement of social frailty state in elderly community-dwellers.

Social support mediates social frailty with anxiety and depression.

BACKGROUND: Anxiety and depression are prevalent comorbidities in patients with chronic obstructive pulmonary disease (COPD). However, existing research has yielded conflicting findings regarding the effects of social frailty on anxiety and depression. The primary aim of this study is to validate the relationship between social frailty and social support with anxiety and depression in patients with acute exacerbations of COPD (AECOPD) and to investigate whether social support could explain the variations in prior study outcomes for patients with AECOPD. METHODS: Of the 315 patients hospitalized with AECOPD at the respiratory intensive care unit of a large tertiary care institution in Sichuan Province of China, between August 2022 and June 2023 who were surveyed, 306 were included in the analysis after excluding missing data. We conducted a logistic regression analysis to examine the associations of social frailty and social support with anxiety and depression and performed mediation analyses to examine whether social support mediates the relationship of social frailty with anxiety and depression. RESULTS: The logistic regression analysis revealed that social frailty did not associate anxiety or depression in patients with AECOPD. The mediation analysis supported this idea and indicated that while social frailty does not directly influence anxiety or depression, it can through social support. CONCLUSIONS: The findings suggest that while social frailty may not directly impact anxiety or depression in patients with AECOPD, social support plays a crucial mediating role. Enhancing social support can indirectly alleviate anxiety and depression among these patients. Enhancing social support networks should thus be prioritized by healthcare providers and family members to improve mental health outcomes in this patient population.

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.

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.