Effectiveness of interventions to prevent or reverse pre-frailty and frailty in middle-aged community dwelling adults: A systematic review.

INTRODUCTION: Frailty, marked by diminished physiological capacity and higher health risks, is less understood in middle-aged individuals (40-65 years) than older adults. This review synthesises intervention studies for pre-frailty and frailty in this demographic, assessing effectiveness, feasibility, and implementation factors including participant experience and cost-effectiveness. METHOD: Registered on the Open Science Framework and adhering to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) and the template for intervention description and replication (TIDieR) guidelines, this review searched six databases for interventions targeting middle-aged adults. Dual screening, data extraction, risk assessment, and Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) certainty evaluation were conducted. Findings were narratively synthesized due to heterogeneity. RESULTS: Eight studies (2018-2023) with 2838 participants were included. Resistance training and multicomponent exercise reduced frailty; though, not always significantly. Low-intensity exercises and education-based interventions yielded mixed results, suggesting a need for further research. Positive participant experiences and cost-effectiveness of interventions such as resistance training and educational interventions supports their feasibility. Varying quality, methodologies and levels of bias indicated a need for more rigorous future research. DISCUSSION: This review reveals an evidence gap in middle-aged frailty interventions. Multicomponent interventions and resistance training showed promise, but their comparative effectiveness remains uncertain. Educational and low-intensity interventions need further research to establish their effectiveness. The findings diverge from those in older adults, emphasising the need for age-specific approaches. Future studies should employ higher-quality methods and explore emerging technologies to enhance intervention effectiveness for pre-frailty and frailty in middle-aged adults.

Community-based exercises improve health status in pre-frail older adults: A systematic review with meta-analysis.

BACKGROUND: Pre-frailty is associated with increased healthcare utilization. Over the past decade, public health interventions such as community-based exercises to target pre-frailty have been increasingly studied. However, the effects of community-based exercises on clinical outcome measures amongst community-dwelling older adults with pre-frailty remain unclear. This review aims to better understand the effects of community-based exercise on physical function, cognition, quality of life and frailty status in community-dwelling pre-frail older adults. A secondary objective was to investigate the optimal exercise parameters on clinical outcomes. METHODS: Searches of MEDLINE, CINAHL, Google Scholar and Web of Science databases were conducted. Articles were included if they were randomized controlled trials (RCTs), and excluded if the participants consist of less than 50% pre-frail community-dwelling older adults. Meta-analyses (where possible) with either a fixed- or random- effect(s) model, standardized mean difference (SMD), odds ratio (OR) and tests of heterogeneity were performed. Multivariable meta-regression was performed to identify predictors of statistically significant outcome measures. The risk of bias was assessed using the modified Cochrane Risk-of-Bias tool. RESULTS: Twenty-two RCTs with 900 participants in the experimental group and 1015 participants in the control group were included. When compared to minimal intervention, community-based exercises significantly improved lower limb strength (10 RCTs, 384 participants in the experimental group and 482 participants in the control group) with SMD 0.67 (95% CI 0.29 to 1.04), and lower limb function (5 RCTs, 120 participants in the experimental group and 219 participants in the control group) with SMD 0.27 (95% CI 0.03 to 0.51). Those who have received community-based exercises were more likely to reverse from pre-frailty to healthy state (OR = 2.74, 95% CI 1.36 to 5.51) (6 RCTs, 263 participants in the experimental group and 281 participants in the control group). The frequency of exercise sessions was a significant predictor of the effect size for gait speed (P<0.05). CONCLUSIONS: Community-based exercise intervention is superior to minimal intervention for improving health status in pre-frail older adults. This has implications on the implementation of community-based exercise intervention by healthcare providers and policymakers. OTHER: Nil funding for this review. PROSPERO registration number CRD42022348556.

Bioelectrical impedance phase angle combined with physical function predicts pre-frailty in maintenance hemodialysis patients: a prospective study.

BACKGROUND: The prevalence of pre-frailty is notably high among maintenance hemodialysis (MHD) patients. Pre-frailty, an early and reversible condition between non-frailty and frailty, can lead to adverse outcomes such as increased unplanned hospital admissions and a higher risk of other chronic diseases. Early identification and intervention of pre-frailty in MHD patients are crucial. This study aimed to establish a simple and effective model for screening and identifying MHD patients at high risk of pre-frailty by using 50 kHz-Whole Body Phase Angle (PhA) measured by bioelectrical impedance analysis (BIA), hand grip strength (HGS), the Five-Times-Sit-to-Stand Test (FTSST), and laboratory parameters, with a specific focus on gender differences. METHODS: This prospective cross-sectional study was conducted from September to December 2023 at the Wenjiang Hemodialysis Center in the Department of Nephrology, West China Hospital, Sichuan University, Chengdu, China. A total of 244 MHD patients, including 130 males and 114 females, were enrolled, comprising 128 non-frail and 116 pre-frail individuals. Data were collected prospectively, including demographic information, physical measurements, and laboratory test results. All participants provided informed consent before enrollment. The FRAIL scale (FS) was used to assess pre-frailty in MHD patients. Grip strength was measured using an electronic grip strength tester, physical function was assessed using the Five-Times-Sit-to-Stand Test, and whole-body phase angle was measured using the InBody S10 device. RESULTS: A total of 244 MHD patients with a mean age of 53.75 ± 0.90 years were enrolled, including 130 males with a mean age of 54.12 ± 1.26 years and 114 females with a mean age of 53.32 ± 1.29 years. ROC curve analysis showed that in male patients, the AUC of PhA for predicting pre-frailty was 0.919, with a sensitivity of 94.5% and specificity of 91.3%, and a cutoff value of 6.05°; in female patients, the AUC of PhA was 0.870, with a sensitivity of 70.5% and specificity of 90.6%, and a cutoff value of 5.25°. The AUC of FTSST for screening pre-frailty in male patients was 0.827, with a sensitivity of 62.3% and specificity of 96.2%, and a cutoff value of 12.95 s; in female patients, the AUC of FTSST was 0.784, with a sensitivity of 67.3% and specificity of 84.0%, and a cutoff value of 12.95 s. Additionally, in male patients, the combination of PhA and FTSST resulted in an AUC of 0.930, with a sensitivity of 96.4% and specificity of 81.3%; in female patients, the AUC was 0.911, with a sensitivity of 78.7% and specificity of 92.5%. CONCLUSION: PhA measured by BIA, in combination with the Five-Times-Sit-to-Stand Test, serves as an effective screening tool and predictor of pre-frailty in MHD patients. The combination of PhA and FTSST shows enhanced diagnostic value in female patients, while PhA alone is sufficient for predicting pre-frailty in male patients. TRIAL REGISTRATION: Chinese Clinical Trial Registry (ChiCTR2100051111), registered on 2021-09-13.

Does the association between adiposity measures and pre-frailty among older adults vary by social position? Findings from the Tromsø study 2015/2016.

INTRODUCTION: Pre-frailty provides an ideal opportunity to prevent physical frailty and promote healthy ageing. Excess adiposity has been associated with an increased risk of pre-frailty, but limited studies have explored whether the association between adiposity measures and pre-frailty varies by social position. METHODS: We used data from the seventh survey of the Tromsø Study (Tromsø7) conducted in 2015-2016. Our primary sample consisted of 2,945 women and 2,794 men aged ≥ 65 years. Pre-frailty was defined as the presence of one or two of the five frailty components: low grip strength, slow walking speed, exhaustion, unintentional weight loss and low physical activity. Adiposity was defined by body mass index (BMI), waist circumference (WC), fat mass index (FMI) and visceral adipose tissue (VAT) mass. Education and subjective social position were used as measures of social position. Poisson regression with robust variance was used to assess the association between adiposity measures and pre-frailty, and the interaction term between adiposity measures and social position measures were utilised to explore whether the association varied by social position. RESULTS: In our sample, 28.7% of women and 25.5% of men were pre-frail. We found sub-multiplicative interaction of BMI-defined obesity with education in women and subjective social position in men with respect to development of pre-frailty. No other adiposity measures showed significant variation by education or subjective social position. Regardless of the levels of education or subjective social position, participants with excess adiposity (high BMI, high WC, high FMI and high VAT mass) had a higher risk of pre-frailty compared to those with low adiposity. CONCLUSION: We consistently observed that women and men with excess adiposity had a greater risk of pre-frailty than those with low adiposity, with only slight variation by social position. These results emphasize the importance of preventing excess adiposity to promote healthy ageing and prevent frailty among all older adults across social strata.

Prevention at home in older persons with (pre-)frailty: analysis of participants' recruitment and characteristics of the randomized controlled PromeTheus trial.

BACKGROUND: The "PromeTheus" trial is evaluating a home-based, multifactorial, interdisciplinary prevention program for community-dwelling (pre-)frail older adults. These individuals often suffer from reduced participation, which can complicate the recruitment and enrollment in a clinical trial. AIMS: The aim of this study was to evaluate different recruitment strategies and differences in participant characteristics in relation to these strategies. METHODS: This cross-sectional study used baseline data from the randomized-controlled PromeTheus trial, in which community-dwelling (pre-)frail older persons (Clinical Frailty Scale [CFS] 4-6 pt., ≥ 70 years) were recruited via general practitioners ("GP recruitment") or flyers, newspaper articles, and personalized letters ("direct recruitment"). Differences in the sociodemographic, clinical, physical, functional, mobility-related, psychological and social characteristics were analyzed in relation to the recruitment strategy. RESULTS: A total of 385 participants (mean age = 81.2, SD 5.9 years; women: n = 283, 73.5%) were enrolled, of which 60 (16%) were recruited by GPs and 325 (84%) through direct recruitment. Participants recruited via GPs had significantly higher subjective frailty levels (CFS), were more often physically frail (Fried Frailty Phenotype), and showed lower physical capacity (Short Physical Performance Battery), participation (disability component of the short version of the Late-Life Function and Disability Instrument), and life-space mobility (Life-Space Assessment) compared to those recruited via the direct approach (p = 0.002-0.026). Costs per randomized participant were 94€ for the GP recruitment strategy and €213 for the direct recruitment strategy. CONCLUSION: Different strategies may be required to successfully recruit (pre-)frail home-living older adults into preventive programs. Direct recruitment strategies, in which potential participants are directly informed about the prevention program, seem to be more promising than GP recruitment but may result in enrolment of persons with less functional impairment and higher recruitment costs. TRIAL REGISTRATION: German Clinical Trials Register, DRKS00024638. Registered on March 11, 2021.

Prevalence and future estimates of frailty and pre-frailty in a population-based sample of people 70 years and older in Norway: the HUNT study.

BACKGROUND: Frailty in older people is a rising global health concern; therefore, monitoring prevalence estimates and presenting projections of future frailty are important for healthcare planning. AIM: To present current prevalence estimates of frailty and pre-frailty and future projections according to both dominant frailty models in a large population-based observational study including adults ≥ 70 years in Norway. METHODS: In this population-based observational study, we included 9956 participants from the HUNT4 70 + study, conducting assessments at field stations, homes, and nursing homes. Frailty was assessed using Fried criteria and a 35-item frailty index (HUNT4-FI). Inverse probability weighting and calibration using post-stratification weights and aggregated register data for Norway according to age, sex, and education ensured representativeness, and population projection models were used to estimate future prevalence. RESULTS: According to Fried criteria, the current prevalence rates of frailty and pre-frailty in people ≥ 70 years were 10.6% and 41.9%, respectively, and for HUNT4-FI 35.8% and 33.2%, respectively. Compared to previous European estimates we identified higher overall frailty prevalence, but lower prevalence in younger age groups. Projections suggest the number of Norwegian older adults living with frailty will close to double by 2040. CONCLUSION: Frailty in older people in Norway is more prevalent than previous European estimates, emphasising the imperative for effective interventions aimed to delay and postpone frailty and ensure healthcare system sustainability in an ageing population. Future planning should consider the great heterogeneity in health and functioning within the 70 + population.

Association between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adults.

INTRODUCTION: Wrist-worn activity monitors have seen widespread adoption in recent times, particularly in young and sport-oriented cohorts, while their usage among older adults has remained relatively low. The main limitations are in regards to the lack of medical insights that current mainstream activity trackers can provide to older subjects. One of the most important research areas under investigation currently is the possibility of extrapolating clinical information from these wearable devices. METHODS: The research question of this study is understanding whether accelerometry data collected for 7-days in free-living environments using a consumer-based wristband device, in conjunction with data-driven machine learning algorithms, is able to predict hand grip strength and possible conditions categorized by hand grip strength in a general population consisting of middle-aged and older adults. RESULTS: The results of the regression analysis reveal that the performance of the developed models is notably superior to a simple mean-predicting dummy regressor. While the improvement in absolute terms may appear modest, the mean absolute error (6.32 kg for males and 4.53 kg for females) falls within the range considered sufficiently accurate for grip strength estimation. The classification models, instead, excel in categorizing individuals as frail/pre-frail, or healthy, depending on the T-score levels applied for frailty/pre-frailty definition. While cut-off values for frailty vary, the results suggest that the models can moderately detect characteristics associated with frailty (AUC-ROC: 0.70 for males, and 0.76 for females) and viably detect characteristics associated with frailty/pre-frailty (AUC-ROC: 0.86 for males, and 0.87 for females). CONCLUSIONS: The results of this study can enable the adoption of wearable devices as an efficient tool for clinical assessment in older adults with multimorbidities, improving and advancing integrated care, diagnosis and early screening of a number of widespread diseases.

[Prevention of frailty]. / Prävention der Frailty.

BACKGROUND: The presence of frailty in older patients increases the risk for adverse health events and for a loss of independence. Measures for the prevention of this geriatric syndrome should be incorporated into routine healthcare. OBJECTIVE: What types of interventions could be effective in the prevention of frailty and how can preventive strategies be successfully implemented? METHOD: Narrative review article. RESULTS: The concept of frailty is multidimensional and potential starting points for a prevention of frailty can be found within different dimensions (e.g., dimensions of physical activity and nutrition, psychosocial dimension). Epidemiological analyses have identified factors that increase or decrease the risk for becoming frail. Evidence from randomized controlled trials that examined the effectiveness of specific interventions in the prevention of frailty is still limited. Based on the available data, interventions using physical exercise appear to be effective in preventing frailty. In primary care in Germany the frailty status of older patients is not yet routinely recorded, which impedes the identification of patients at risk (patients with pre-frailty) and the implementation of targeted preventive strategies. The Integrated Care for Older People (ICOPE) concept of the World Health Organization offers a potential approach to prevent frailty and to promote healthy ageing within the population. CONCLUSION: The prevention of frailty is possible and reasonable. Comprehensive and targeted preventive strategies are yet to be implemented.

Prevalence and risk factors of cognitive frailty among pre-frail and frail older adults in nursing homes.

BACKGROUND: The purpose of this research was to stratify the level of frailty to examine the risk factors associated with reversible cognitive frailty (RCF) and potentially reversible cognitive frailty (PRCF) in nursing homes to provide a basis for hierarchical management in different stages of frailty. METHODS: The study was a cross-sectional study conducted from September to November 2022; 504 people were selected by stratified random sampling after convenience selection from the Home for the Aged Guangzhou. The structured questionnaire survey was conducted through face-to-face interviews using the general data questionnaire, Fried Frailty Phenotype, Montreal Cognitive Assessment Scale. RESULTS: In total, 452 individuals were included for analysis. A total of 229 cases (50.7%) were PRCF, 70 (15.5%) were RCF. Multivariate logistic regression analysis showed that in pre-frailty, the Geriatric Depression Scale (GDS-15) score (odds ratio (OR) 1.802; 95% CI 1.308-2.483), Instrumental Activities of Daily Living Scale (IADL) score (0.352; 0.135-0.918) and energy (0.288; 0.110-0.755) were influencing factors of RCF. GDS-15 score (1.805; 1.320-2.468), IADL score (0.268; 0.105-0.682), energy (0.377; 0.150-0.947), lack of intellectual activity (6.118; 1.067-35.070), admission time(>3 years) (9.969; 1.893-52.495) and low education (3.465; 1.211-9.912) were influencing factors of PRCF. However, RCF with frailty was associated with the Short-Form Mini-Nutritional Assessment (MNA-SF) score (0.301; 0.123-0.739) and low education time (0 ~ 12 years) (0.021; 0.001-0.826). PRCF with frailty was associated with age (1.327; 1.081-1.629) and weekly exercise time (0.987; 0.979-0.995). CONCLUSIONS: The prevalence of RCF and PRCF was high among pre-frail and frail older adults in nursing homes. Different levels of frailty had different influencing factors for RCF and PRCF. Depression, daily living ability, energy, intellectual activity, admission time, education level, nutrition status, age and exercise time were associated with RCF and PRCF. Hierarchical management and intervention should be implemented for different stages of frailty to prevent or delay the progression of cognitive frailty.

Changes in caregiving risk and motor function among older adults participating in community gatherings in Koshigaya city.

[Purpose] This study investigated the changes in caregiving risk and motor function among older adults participating in community gatherings ("Kayoinoba") in Koshigaya. [Participants and Methods] A total of 257 older participants who engaged in the Kayoinoba program for 6 months from its inception were included in the analysis. Caregiving risk and motor function were assessed twice-once at the beginning of the Kayoinoba (first assessment) and again 6 months later (second assessment). The Kihon Checklist was used to evaluate caregiving risk, and the timed up-and-go, one-leg standing, and 30-s chair-stand tests were done to evaluate motor functioning. Participants were divided into pre-frail and healthy groups, and the first and second assessments were compared. [Results] The Kihon Checklist score of the pre-frail group significantly improved from the first to the second assessment. The pre-frail group had lower composite scores for physical function, outdoor activities, and depression mood items based on the Kihon Checklist; the healthy group showed no such differences. Performance on the 30-s chair-stand test was significantly better in the second assessment than in the first assessment in both groups. [Conclusion] The findings of this study emphasize the benefits of participating in Kayoinoba among high-risk older adults and provide the knowledge for developing a healthier community-based symbiotic society.

EHRA expert consensus document on the management of arrhythmias in frailty syndrome, endorsed by the Heart Rhythm Society (HRS), Asia Pacific Heart Rhythm Society (APHRS), Latin America Heart Rhythm Society (LAHRS), and Cardiac Arrhythmia Society of Southern Africa (CASSA).

There is an increasing proportion of the general population surviving to old age with significant chronic disease, multi-morbidity, and disability. The prevalence of pre-frail state and frailty syndrome increases exponentially with advancing age and is associated with greater morbidity, disability, hospitalization, institutionalization, mortality, and health care resource use. Frailty represents a global problem, making early identification, evaluation, and treatment to prevent the cascade of events leading from functional decline to disability and death, one of the challenges of geriatric and general medicine. Cardiac arrhythmias are common in advancing age, chronic illness, and frailty and include a broad spectrum of rhythm and conduction abnormalities. However, no systematic studies or recommendations on the management of arrhythmias are available specifically for the elderly and frail population, and the uptake of many effective antiarrhythmic therapies in these patients remains the slowest. This European Heart Rhythm Association (EHRA) consensus document focuses on the biology of frailty, common comorbidities, and methods of assessing frailty, in respect to a specific issue of arrhythmias and conduction disease, provide evidence base advice on the management of arrhythmias in patients with frailty syndrome, and identifies knowledge gaps and directions for future research.

Fish intake and pre-frailty in Norwegian older adults - a prospective cohort study: the Tromsø Study 1994-2016.

BACKGROUND: Pre-frailty is an intermediate, potentially reversible state before the onset of frailty. Healthy dietary choices may prevent pre-frailty. Fish is included in most healthy diets, but little is known about the association between long-term habitual fish intake and pre-frailty. We aimed to elucidate the longitudinal association between the frequency of fish intake and pre-frailty in a cohort of older adults in Norway. METHODS: 4350 participants (52% women, ≥65 years at follow-up) were included in this prospective cohort study. Data was obtained from three waves of the population-based Tromsø Study in Norway; Tromsø4 (1994-1995), Tromsø6 (2007-2008) and Tromsø7 (follow-up, 2015-2016). Frailty status at follow-up was defined by a modified version of Fried's phenotype. Fish intake was self-reported in the three surveys and assessed as three levels of frequency of intake: low (0-3 times/month), medium (1-3 times/week) and high (≥ 4 times/week). The fish-pre-frailty association was analysed using multivariable logistic regression in two ways; (1) frequency of intake of lean, fatty and total fish in Tromsø6 and pre-frailty at follow-up, and (2) patterns of total fish intake across the three surveys and pre-frailty at follow-up. RESULTS: At follow-up, 28% (n = 1124) were pre-frail. Participants with a higher frequency of lean, fatty and total fish intake had 28% (odds ratio (OR) = 0.72, 95% confidence interval (CI) = 0.53, 0.97), 37% (OR = 0.63, 95% CI = 0.43, 0.91) and 31% (OR = 0.69, 95% CI = 0.52, 0.91) lower odds of pre-frailty 8 years later compared with those with a low intake, respectively. A pattern of stable high fish intake over 21 years was associated with 41% (OR = 0.59, 95% CI = 0.38, 0.91) lower odds of pre-frailty compared with a stable low intake. CONCLUSIONS: A higher frequency of intake of lean, fatty and total fish, and a pattern of consistent frequent fish intake over time, were associated with lower odds of pre-frailty in older community-dwelling Norwegian adults. These results emphasise the important role of fish in a healthy diet and that a frequent fish intake should be promoted to facilitate healthy ageing.

Acceptability of physical activity signposting for pre-frail older adults: a qualitative study to inform intervention development.

Frailty is a medical condition common in older adults characterised by diminished strength and reduced physiologic function in which individuals are more vulnerable to multiple adverse health outcomes. Pre-frailty is an intermediate stage associated with some minor health outcomes. However, the main risk is progression toward moderate/severe frailty. Evidence shows physical activity interventions to be effective in slowing or modifying the progression of frailty. Researchers at the University of Manchester are developing a behaviour change intervention targeting pre-frail older adults, signposting them to group-based physical activity classes known to be effective for delaying/slowing frailty. This paper reports on the initial intervention development work with key stakeholders exploring the practicality of taking forward this intervention and identifying uncertainties to be explored in the feasibility stage. These included issues around physical activity messaging, the use of the term 'frail', identification/recruitment of pre-frail older adults, and the acceptability of behaviour change techniques. There was overwhelming support for a proactive approach to addressing pre-frailty issues. Given that a large proportion of older adults are estimated to be pre-frail, interventions aimed at this group have the potential to support healthy ageing, positively impacting on frailty outcomes and providing wider population health benefits.

The improvement effect of working through the Silver Human Resources Center on pre-frailty among older people: a two-year follow-up study.

BACKGROUND: Although the health benefits of working in old age are well known, no research has examined them among older people with pre-frailty. We examined the improvement effect of working through the Silver Human Resources Center (SHRC) on pre-frailty among older people in Japan. METHODS: We carried out a two-year longitudinal survey from 2017 to 2019. Among 5,199 older people, the analysis included 531 participants who were judged to be of pre-frailty status at baseline and who completed both surveys. We utilized the records of participants' work through the SHRC from 2017 to 2019. The evaluation of the frequency of working through the SHRC was categorized as "less-working" (i.e., less than a few times a month), "moderate-working" (i.e., one to two times a week), and "frequent-working" (i.e., more than three times a week). The transition of frailty status was classified as "improved" (from pre-frailty to robust) and "non-improved" (from pre-frailty to pre-frailty or frailty). Logistic regression was used to assess the influence of the frequency of working through the SHRC on the improvement of pre-frailty. The analysis model was adjusted for age, sex, working for financial reward, years of membership, community activities, and health status at baseline. Inverse-probability weighting was used to correct for survival bias in the follow-up period. RESULTS: The improvement rate of pre-frailty during follow-up was 28.9% among the less-working, 40.2% in the moderate-working, and 36.9% in the frequent-working groups. The improvement rate in the less-working group was significantly lower than that in the other two groups (φ = -2.4). Multivariable logistic regression analysis showed that individuals in the moderate-working group had significantly higher odds of pre-frailty improvement than those in the less-working group (OR: 1.47, 95% CI: 1.14-1.90), and no significant differences were found between the frequent-working and less-working groups. CONCLUSIONS: We found that the participants engaged in moderate working through the SHRC significantly increased their rate of pre-frailty improvement, while frequent working showed no significant association. Therefore, in the future it is important to provide moderate work to older people with pre-frailty according to their health status.

The national burden of frailty and disproportionate distribution of its components-the predominance of slow gait speed: a 2018-19 face-to-face epidemiologic assessment representative of population of older Poles.

BACKGROUND: The prevalence of frailty and its components may be affected by age, diseases and geriatric deficits. However, the current operational definition of frailty assigns equal weight to the five components of frailty. AIMS: To perform a population-based assessment of physical frailty, its prevalence, and distribution of its components across different age, disease and deficit spectrum. METHODS: From 2018 to 2019, we conducted a face-to-face cross-sectional assessment of a representative sample of older Poles. We obtained data on frailty components, chronic disease burden, and prevalence of particular diseases and geriatric deficits. We calculated weighted population estimates, representative of 8.5 million older Poles, of prevalence of frailty and its components across the disease burden, associated with the particular diseases and the geriatric deficits present. RESULTS: Of 10,635 screened persons ≥ 60 years, 5987 entered the face-to-face assessment. Data of 5410 have been used for the present analysis. Seventy-two percent of the population are burdened with at least one frailty component. The estimated weighted population prevalence (95% CI) of frailty was 15.9% (14.6-17.1%), and of pre-frailty 55.8% (53.3-58.2%). Slow gait speed predominated across disease burden, specific diseases, geriatric deficits and the age spectrum. Overall, the prevalence of slow gait speed was 56.3% (52.7-60.0%), followed by weakness 26.9% (25.4-28.4%), exhaustion 19.2% (17.6-20.8%), low physical activity 16.5% (14.8-18.3%), and weight loss 9.4% (8.4-10.3%). CONCLUSIONS: Slow gait speed predominates among the components of frailty in older Poles. This may affect the component-tailored preventive and therapeutic actions to tackle frailty.

Prevalence and risk factors of pre-frailty and frailty in maintenance haemodialysis patients in China: A cross-sectional Study.

AIMS: To examine the prevalence and risk factors of pre-frailty and frailty in maintenance haemodialysis patients in China. DESIGN: A cross-sectional study. METHOD: From January to July 2017, using the convenience sampling method, a total of 503 maintenance haemodialysis patients from six hospitals in Lianyungang, China, were recruited for this study. The participants' socio-demographic, lifestyle factors and health information were assessed using a general information questionnaire. Frailty was evaluated based on the Fried frailty phenotype. Multi-categorical logistic regression was performed to examine factors associated with pre-frailty and frailty in this population, including age, sex, living alone, employment, educational level, body mass index, per capita monthly household income, smoking status, exercise status, primary diagnosis, dialysis age, frequency of dialysis, vascular access, congestive heart failure, other cardiac diseases, cerebrovascular disease, peripheral blood diseases, pain, albumin level and haemoglobin level. RESULTS: Among the 503 participants with an average age of 53.02 years (standard deviation 14.99), 178 had pre-frailty (35.3%) and were mostly young and middle-aged. The prevalence of pre-frailty among participants <60 years old was more than 40%. Regression analysis showed that lack of exercise, dialysis age ≤12 months, congestive heart failure and other cardiac diseases were positively associated with pre-frailty. Two hundred and eighteen participants were frail (43.3%), most of whom were aged ≥60. The prevalence of frailty in participants ≥60 was 71.4%. Regression analysis showed that advanced age, being female, obesity, low per capita monthly household income, lack of exercise, diabetes as the primary disease, dialysis age ≤12 months, congestive heart failure, other cardiac diseases, pain and low albumin level, were positively associated with frailty. In addition, more than half of the participants hardly exercised (64.6%), while lack of exercise was a risk factor for pre-frailty and frailty. A third of the participants had pain (33.4%), while pain was an independent risk factor for pre-frailty and frailty in these participants. CONCLUSION: Pre-frailty and frailty are common in patients with maintenance haemodialysis. Most of the elderly maintenance haemodialysis patients are frail, and most of the young and middle-aged patients are pre-frail. Clinicians should actively screen the pre-frailty and frailty among patients with maintenance haemodialysis, especially those with dialysis age ≤12 months. Many factors affect pre-frailty and frailty in this population. Tailored intervention measures should be designed and implemented based on these factors, giving priority to exercise guidance and pain management for patients to help them prevent or reverse pre-frailty and frailty.

Assessment of incident frailty hazard associated with depressive symptoms in a Taiwanese longitudinal study.

OBJECTIVES: To estimate the risks of depressive symptoms for developing frailty, accounting for baseline robust or pre-frailty status. DESIGN: An incident cohort study design. SETTING: Community dwellers aged 55 years and above from urban and rural areas in seven regions in Taiwan. PARTICIPANTS: A total of 2,717 participants from the Healthy Aging Longitudinal Study in Taiwan (HALST) were included. Subjects with frailty at baseline were excluded. The average follow-up period was 5.9 years. MEASUREMENTS: Depressive symptoms were measured by the 20-item Center for Epidemiological Studies Depression (CES-D) Scale. Frailty was assessed using the Fried frailty measurement. Participants were stratified by baseline robust or pre-frailty status to reduce the confounding effects of the shared criteria between depressive symptoms and frailty. Overall and stratified survival analyses were conducted to assess risks of developing frailty as a result of baseline depressive symptoms. RESULTS: One hundred individuals (3.7%) had depressive symptoms at baseline. Twenty-seven individuals (27.0%) with depressive symptoms developed frailty, whereas only 305 out of the 2,617 participants (11.7%) without depressive symptoms developed frailty during the follow-up period. After adjusting for covariates, depressive symptoms were associated with a 2.6-fold (95% CI 1.6, 4.2) increased hazard of incident frailty. The patterns of increased hazard were also observed when further stratified by baseline robust or pre-frailty status. CONCLUSIONS: Depressive symptoms increased the risk of developing frailty among the older Asian population. The impact of late-life depressive symptoms on physical health was notable. These findings also replicated results from Western populations. Future policies on geriatric public health need to focus more on treatment and intervention against geriatric depressive symptoms to prevent incident frailty among older population.

Machine learning models for identifying pre-frailty in community dwelling older adults.

BACKGROUND: There is increasing evidence that pre-frailty manifests as early as middle age. Understanding the factors contributing to an early trajectory from good health to pre-frailty in middle aged and older adults is needed to inform timely preventive primary care interventions to mitigate early decline and future frailty. METHODS: A cohort of 656 independent community dwelling adults, aged 40-75 years, living in South Australia, undertook a comprehensive health assessment as part of the Inspiring Health cross-sectional observational study. Secondary analysis was completed using machine learning models to identify factors common amongst participants identified as not frail or pre-frail using the Clinical Frailty Scale (CFS) and Fried Frailty Phenotype (FFP). A correlation-based feature selection was used to identify factors associated with pre-frailty classification. Four machine learning models were used to derive the prediction models for classification of not frail and pre-frail. The class discrimination capability of the machine learning algorithms was evaluated using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, precision, F1-score and accuracy. RESULTS: Two stages of feature selection were performed. The first stage included 78 physiologic, anthropometric, environmental, social and lifestyle variables. A follow-up analysis with a narrower set of 63 variables was then conducted with physiologic factors associated with the FFP associated features removed, to uncover indirect indicators connected with pre-frailty. In addition to the expected physiologic measures, a range of anthropometric, environmental, social and lifestyle variables were found to be associated with pre-frailty outcomes for the cohort. With FFP variables removed, machine learning (ML) models found higher BMI and lower muscle mass, poorer grip strength and balance, higher levels of distress, poor quality sleep, shortness of breath and incontinence were associated with being classified as pre-frail. The machine learning models achieved an AUC score up to 0.817 and 0.722 for FFP and CFS respectively for predicting pre-frailty. With feature selection, the performance of ML models improved by up to + 7.4% for FFP and up to + 7.9% for CFS. CONCLUSIONS: The results of this study indicate that machine learning methods are well suited for predicting pre-frailty and indicate a range of factors that may be useful to include in targeted health assessments to identify pre-frailty in middle aged and older adults.

Groningen Frailty Indicator-Chinese (GFI-C) for pre-frailty and frailty assessment among older people living in communities: psychometric properties and diagnostic accuracy.

BACKGROUND: The early identification of pre-frailty and frailty among older people is a global priority because of the increasing incidence of frailty and associated adverse health outcomes. This study aimed to validate the Groningen Frailty Indicator-Chinese (GFI-C), a widely used screening instrument, and determine the optimal cut-off value in Chinese communities to facilitate pre-frailty and frailty screening. METHODS: This methodological study employed a cross-sectional and correlational design to examine the psychometric properties of GFI-C, namely, internal consistency, stability, and concurrent and construct validities. The appropriate cut-off values for pre-frailty and frailty screening in the receiver-operating characteristic (ROC) curve were determined through sensitivity and specificity analysis. RESULTS: A total of 350 community older people had been assessed and interviewed by a nurse. The GFI-C showed satisfactory internal consistency (Cronbach's α = 0.87) and two-week test-retest reliability (intra-class correlation coefficient = 0.87). Concurrent validity (r = 0.76, p < 0.001) showed a moderate correlation with Fried's frailty phenotype. The known-groups method, hypothesis testing and confirmatory factory analysis (three-factor model; χ2/df = 2.87, TLI = 0.92, CFI = 0.93, GFI = 0.92, RMR = 0.014; RMSEA = 0.073) were suitable for the establishment of construct validity. Based on the ROC and Youden's index, the optimal cut-off GFI-C values were 2 (sensitivity, 71.5%; specificity, 84.7%) for pre-frailty and 3 for frailty (sensitivity, 88.2%; specificity, 79.6%). CONCLUSIONS: The result indicated that GFI-C is a reliable and valid instrument for pre-frailty and frailty screening among older Chinese people in communities. For optimal diagnostic accuracy, the cut-off values of 3 for frailty and 2 for pre-frailty are recommended.

Association of visceral fat area with pre-frailty in Japanese community-dwelling older adults: a cross-sectional study.

BACKGROUND: Screening and intervention in pre-frailty can help prevent or delay frailty among older adults. Being overweight has shown associated with pre-frailty, and overweight is highly prevalent among community-dwelling older adults during COVID-19. However, the impact of visceral fat accumulation remains unclear. This study aimed to explore the association between visceral fat area and pre-frailty in community-dwelling older adults. METHODS: The participants of this study included community-dwelling older adults from three elderly welfare centers. The frailty phenotype was assessed using the frailty screening index. The body composition was measured using bioelectrical impedance analysis. RESULTS: A total of 214 community-dwelling older adults completed the questionnaire and measurements. After excluding 16 frail participants, 149 (75.3%) were pre-frailty. The mean age of participants was 75.4 ± 5.4 years, and 69.7% (138) of participants were women. There were 54 (27.3%) participants with high visceral fat area. The multivariable model showed that participants with high visceral fat area were at increased risk for pre-frailty (adjusted OR, 3.15; 95% CI, 1.26 - 7.87; P = 0.014), even after adjusted for age, sex, health status, and impact of COVID-19 pandemic. CONCLUSIONS: This study suggests that the association between visceral fat accumulation and pre-frailty may help to identify a new target for prevention. Further longitudinal studies are needed to determine their mechanisms in older adults.