The Prevalence of Social Frailty Among Older Adults: A Systematic Review and Meta-Analysis

Zhang, Xiaoming; Cao, Simin; Gao, Maofeng; Xiao, Shiyan; Xie, Xiaohua; Wu, Xininjuan

doi:10.1016/j.jamda.2022.10.007

Cited by 24 publications

(13 citation statements)

References 62 publications

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“…This could be due to a combination of gender disparities in biological, genetic, and socioeconomic and socio‐behavioural mechanisms. For instance, development of frailty in women could be due to hormonal changes that occur with increasing age 54,55 . Multiple studies also have observed that compared to their male counterparts, women are more sedentary and less engaged in physical activity or regular physical exercise 53,56,57 .…”

Section: Discussionmentioning

confidence: 99%

Gender differences in the association between physical frailty and life satisfaction among older adults in India

et al. 2023

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BackgroundOne of the sustainable development goals' (SDGs) primary goals (Goal 3) is to ensure healthy lives and promote well‐being for persons of all ages. While extensive literature documents the link between physical frailty and low life satisfaction (LLS) among older adults, research of this nature is limited within low and middle‐income countries including India. The purpose of this study was to examine the association between physical frailty and life satisfaction among community‐dwelling older men and women in India.MethodsData come from the 2017–18 wave 1 of the Longitudinal Ageing Study in India (LASI), with a sample of 30 390 individuals aged 60 and above (14 559 men and 15 831 women). Physical frailty was assessed using an adapted version of the frailty phenotype developed by Fried and colleagues. Ordered logistic regression models are employed to examine the association between physical frailty and life satisfaction.ResultsThe prevalence of frailty was higher in older women than men (32.2% vs. 27.5%). Nearly 30.4% of men and 33.8% of women reported having LLS. However, after adjusting for the selected confounders, women were less likely (adjusted odds ratio [aOR]: 0.92; CI: 0.87–0.97) to report LLS compared to men. The physically frail older adults were more likely (aOR: 1.40; CI: 1.27–1.55) to report LLS relative to their physically stronger counterparts. Moreover, we found that frail older men had higher odds of reporting LLS than non‐frail older men (aOR: 1.25; CI: 1.09–1.43). Also, non‐frail older women had lower odds of reporting LLS than non‐frail older men (aOR: 0.80; CI: 0.67–0.95).ConclusionsFindings of our study suggest that policies and programs to address later life well‐being need to consider gender differences. Doing so would not only help identify older adults most at risk of LLS, but gender differentiated policies would help streamline health expenditures and costs typically relegated to assist all older adults without proper focus on the uniqueness of their social location.

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Section: Discussionmentioning

confidence: 99%

Gender differences in the association between physical frailty and life satisfaction among older adults in India

et al. 2023

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“…However, it should be noted that there is still considerable uncertainty around the concept of frailty [5,6] and that a phenotypic evaluation of subjects is impossible when considering a large population. There have been several reasons why it is so difficult to define and conceptualize frailty, including its complex aetiology [7], the often-independent work of researchers in diverse areas of frailty, such as biological basis, social basis, environment, and technology [8,9], and the inherent difficulty in distinguishing frailty from ageing and disability [10].…”

Section: Prevalence Of Frailtymentioning

confidence: 99%

“…These base classifiers are commonly used as hyperparameters for MLC strategies, with only one base algorithm used for training each MLC strategy [52]. For RAkEL, different values were set for the size of the label set (k=2, 3,4,5,6) and the number of models (m=6,8,10,12,14,16) and the value k=3 (default) and m=12 were optimal. The parameters taken for the rest of the MLC methods were the default ones as suggested by their authors.…”

Section: Experimental Setup and Software Toolsmentioning

confidence: 99%

Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification

Tarekegn,

Michalak,

Costa

et al. 2024

Preprint

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Frailty syndrome is prevalent among the elderly, often linked to chronic diseases and resulting in various adverse health outcomes. Existing research has predominantly focused on predicting individual frailty-related outcomes. However, this paper takes a novel approach by framing frailty as a multi-label learning problem, aiming to predict multiple adverse outcomes simultaneously. In the context of multi-label classification, dealing with imbalanced label distribution poses inherent challenges to multi-label prediction. To address this issue, our study proposes a hybrid resampling approach tailored for handling imbalance problems in the multi-label scenario. The proposed resampling technique and prediction tasks were applied to a high-dimensional real-life medical dataset comprising individuals aged 65 years and above. Several multi-label algorithms were employed in the experiment, and their performance was evaluated using multi-label metrics. The results obtained through our proposed approach revealed that the best-performing prediction model achieved an average precision score of 83%. These findings underscore the effectiveness of our method in predicting multiple frailty outcomes from a complex and imbalanced multi-label dataset.

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“…It is defined as a continuum of being at risk of losing or having lost resources that are important for fulfilling one or more basic social needs during the lifespan 15 . The pooled prevalence of social frailty worldwide is approximately 23.9% (95% CI: 19.9%−27.9%) in older adults 16 . More importantly, social frailty is significantly associated with many adverse outcomes, such as disability, 14 Alzheimer's disease, 17 depression 18 and mortality 19–21 .…”

Section: Introductionmentioning

confidence: 99%

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

Zhang,

Hu,

Jiang

et al. 2024

Alzheimer's & Dementia

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INTRODUCTIONVarious 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.METHODSWe 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.RESULTSCompared 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).DISCUSSIONSocial 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.

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The Prevalence of Social Frailty Among Older Adults: A Systematic Review and Meta-Analysis

Cited by 24 publications

References 62 publications

Gender differences in the association between physical frailty and life satisfaction among older adults in India

Gender differences in the association between physical frailty and life satisfaction among older adults in India

Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification

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

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