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Introduction: Smoking has been recognized as a contributing factor to frailty in older adults. Nevertheless, it remains uncertain whether the degree of smoking has a discernible impact on frailty among older smokers. This cross-sectional study was conducted to investigate the correlation between serum cotinine levels, a biomarker reflecting tobacco exposure, and the presence of frailty within a nationally representative cohort of older adults. Method: A total of 1626 individuals aged ≥ 60 who identified as smokers were included in the analysis. Participants were selected based on self-reported current smoking status. According to the Fried Phenotype, frailty is assessed through five dimensions: unintentional weight loss, slow walking speed, weakness, self-reported exhaustion, and low physical activity. Participants with three or more of these conditions were categorized as frailty, those with at least one but less than three as pre-frailty, and those with none as robust. Multinomial logistic regression models were employed to explore the relationship between serum cotinine level quartiles, with the lowest quartile as the reference group, and the various frailty statuses, with robustness as the reference category. These models were adjusted for covariates, including age, sex, race/ethnicity, alcohol drinking, daily protein intake, systolic blood pressure, serum albumin level, depressive symptoms, and cognitive function. The data used for this analysis were sourced from the National Health and Nutrition Examination Survey for the years 2011 to 2014. Results: The median age of the participants was 69.0 years. The majority were male (62.2%) and non-Hispanic White (49.0%). The distribution of frailty statuses among the participants revealed that the highest proportion had pre-frailty (50.7%), followed by robustness (41.1%), and frailty (8.2%). Multinomial logistic regression showed that participants in the 4th quartile of serum cotinine level exhibited a higher probability of pre-frailty versus robustness (Odds ratio [OR] 1.599, 95% confidence interval [CI] 1.017, 2.513, P = 0.042). Participants in the 3rd quartile of serum cotinine level had higher odds of frailty versus robustness (OR 2.403, 95% CI 1.125, 5.134, P = 0.024). Moreover, participants whose serum cotinine levels were higher than the literature cutoffs (≥ 15 ng/ml) were more likely to be pre-frail (Odds ratio [OR] 1.478, 95% confidence interval [CI] 1.017, 2.150, P = 0.035) or frail (Odds ratio [OR] 2.141, 95% confidence interval [CI] 1.054, 4.351, P = 0.041). Conclusions: A higher serum cotinine level is linked to an elevated probability of pre-frailty and frailty among older smokers. Initiatives geared towards assisting older smokers in reducing or quitting their smoking habits might possibly play a crucial role in preventing pre-frailty and frailty. [ABSTRACT FROM AUTHOR]

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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. [ABSTRACT FROM AUTHOR]

Aims/Background Pre-frailty is common in patients undergoing maintenance hemodialysis (MHD). Without proper management, it can quickly worsen and progress into frailty, leading to various adverse clinical outcomes. Therefore, timely interventions for pre-frail MHD patients are crucial. However, the response of pre-frail MHD patients to such interventions is currently unclear. This study evaluated the effect of a multicomponent intervention on changes in pre-frailty status, risk factors for frailty, quality of life, and clinical outcomes in pre-frail patients undergoing MHD. Methods Sixty MHD patients were randomly assigned to intervention (received a 12-week multicomponent intervention) and control (received standard care) groups, with 30 participants per group, between February and May 2018. Data were collected at baseline and at 3 and 9 months thereafter. Analyzed outcomes included changes in pre-frailty status, frailty risk factors (such as albumin level, pain, and anxiety), quality of life, and clinical outcomes during the follow-up period. Results Data from a total of 58 MHD patients were collected at three time points. At week 12, frailty scores were 0.9 points lower in the intervention group compared to the control group (p = 0.007). The intervention group showed a 26.2% higher proportion of patients who improved from pre-frailty to non-frailty compared to the control group (p = 0.029), and a 25.9% lower proportion of patients who progressed from pre-frailty to frailty (p = 0.021). Additionally, improvements in albumin levels, pain, anxiety, and quality of life were more significant in the intervention group (all p < 0.05). Although there were fewer incidents of falls and rehospitalizations in the intervention group during follow-up, these differences did not reach statistical significance (all p > 0.05). Conclusion This study validates the effectiveness and practicality of a multicomponent intervention in improving pre-frailty status, frailty risk factors, and quality of life in patients undergoing MHD. Clinical Trial Registration Chinese Clinical Trial Registry (ChiCTR-IOR-17012176). [ABSTRACT FROM AUTHOR]

Abstract 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.

Abstract 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

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Simple Summary: A prospective observational study was conducted in a cohort of 329 hospitalized older adults ≥65 years admitted to the acute medical unit (AMU) of a tertiary hospital. Statistical models compared older adults with and without a history of cancer to determine characteristics associated with pre-frailty/frailty and length of hospital stay (LOS). About one-fifth of the cohort had a history of cancer. The prevalence of pre-frailty/frailty among older adults with a history of cancer was 58%. In patients with a history of cancer, pre-frailty/frailty was associated with eight and nine times more likelihood of experiencing polypharmacy and malnutrition, respectively. The risk of having a longer LOS was 24% higher in older adults with a history of cancer than those without. Further investigations are warranted for improvement to systematic assessments to identify those at risk and provide interventions to meet the complex needs of this vulnerable population. A prospective observational study was conducted in a cohort of older adults ≥65 years (n = 329), admitted to the acute medical unit (AMU) of a tertiary hospital, to describe and compare characteristics including frailty status and clinical outcomes. Multivariable models compared older adults with and without a history of cancer to determine characteristics associated with frailty and pre-frailty. An adjusted Poisson regression model was used to compare the length of hospital stay (LOS) between the two groups. About one-fifth (22%) of the cohort had a history of cancer. The most common cancer types were prostate (n = 20), breast (n = 13), lung (n = 8) and gastrointestinal (n = 8). There was no difference in the prevalence of pre-frailty/frailty among patients with or without a history of cancer (58% vs. 57%, p > 0.05). Pre-frailty/frailty was associated with polypharmacy (OR 8.26, 95% CI: 1.74 to 39.2) and malnutrition (OR 8.91, 95% CI: 2.15 to 36.9) in patients with a history of cancer. Adjusted analysis revealed that the risk of having a longer LOS was 24% higher in older adults with a history of cancer than those without (IRR 1.24, 95% CI 1.10 to 1.41, p < 0.001). Clinicians in the AMU should be aware that older adults with a history of cancer have a higher risk of a longer LOS compared to those without. [ABSTRACT FROM AUTHOR]

Background: In the context of the present global aging phenomenon, the senior population and pace of aging in China have emerged as prominent issues on the worldwide stage. Frailty, a complicated condition that is closely linked to the clinical syndrome of advancing age, poses a considerable health risk to older individuals. Frailty status was assessed by the frailty index (FI) ranging from 0 to 1, pre-frailty was defined as >0.10 to

Abstract 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.

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

(1) Background: The increasing life expectancy brings an increase in geriatric syndromes, specifically frailty. The literature shows that exercise is a key to preventing, or even reversing, frailty in community-dwelling populations. The main objective is to demonstrate how an intervention based on multicomponent exercise produces an improvement in frailty and pre-frailty in a community-dwelling population. (2) Methods: a prospective observational study of a multicomponent exercise program for geriatric revitalization with people aged over 65 holding Barthel Index scores equal to, or beyond, 90. The program was developed over 30 weeks, three times a week, in sessions lasting 45–50 min each. Frailty levels were registered by the Short Physical Performance Battery, FRAIL Questionnaire Screening Tool, and Timed "Up & Go" at the beginning of the program, 30 weeks later (at the end of the program), and following 13 weeks without training; (3) Results: 360 participants completed the program; a greater risk of frailty was found before the program started among older women living in urban areas, with a more elevated fat percentage, more baseline pathologies, and wider baseline medication use. Furthermore, heterogeneous results were observed both in training periods and in periods without physical activity. However, they are consistent over time and show improvement after training. They show a good correlation between TUG and SPPB; (4) Conclusions: A thirty-week multicomponent exercise program improves frailty and pre-frailty status in a community-dwelling population with no functional decline. Nevertheless, a lack of homogeneity is evident among the various tools used for measuring frailty over training periods and inactivity periods. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Smartphone applications aimed at enhancing physical, cognitive, and social activities through mobile health (mHealth) technology are of increasing interest. Their feasibility and acceptability, alongside impacts on frailty phenotype scores and step counts among older adults with frailty, remain to be fully validated. This study presents a 13-week preliminary intervention trial assessing an mHealth app's feasibility in a cohort of 34 eligible older adults, including 5 frail and 29 pre-frail participants. The intervention entailed a 6-week course on app usage, followed by 7 weeks of observation, with four participants withdrawing early. Feasibility was determined by login and active use rates, with a target login rate of 60% or higher. Post-intervention, 100% session attendance and a median login rate of 88.4% were observed. Acceptability was high, with 73% affirming the app's health benefits. Notably, frailty scores and step counts improved post-intervention, underscoring the app's potential for supporting older adults with frailty. [ABSTRACT FROM AUTHOR]

BackgroundPre-frailty represents an ideal window of opportunity to potentially prevent frailty and disability. Early and effective interventions to delay or reverse pre-frailty are public health imperative. The present trial aims to evaluate the effectiveness and underlying mechanisms of mobile health (mHealth) platform-supported lifestyle-integrated multicomponent exercise (PF-Life) to reverse pre-frailty in community-dwelling older adults.MethodsThis is an open-label, prospective, two-arm parallel randomized controlled trial with allocation concealment and outcome assessment blinding. We aim to recruit 140 pre-frail community-dwelling older adults who will be randomized into two groups. The control group will receive a health education program, while the intervention group will receive PF-Life training as planned for 1 year. The proportion of pre-frailty, functional performance (muscular strength, aerobic capacity, flexibility, and balance), body composition, and physical activity will be measured at pre-intervention, post-intervention, and 12-month follow-up. Inflammatory biomarkers will also be collected to explore the underlying mechanisms.DiscussionThis is the first study to evaluate the effects of a novel digital lifestyle-integrated multicomponent exercise for pre-frail older people. The results of this trial will provide much-needed information on the short-and long-term effects of PF-Life based on functional performance and body composition. Meanwhile, inflammatory biomarkers and physical activity levels will be used to elucidate the underlying mechanisms of PF-Life. The findings from this trial will provide evidence for the effectiveness of lifestyle multicomponent exercise intervention supported by the mHealth platform that may reverse or even halt the onset of frailty.Clinical trial registrationhttps://www.chictr.org.cn/showproj.html?proj=176477, identifier ChiCTR2200063431.

Objectives: To investigate factors predicting frailty for one year in pre-frail patients with rheumatoid arthritis (RA).Method: A total of 298 RA patients who were pre-frail in 2020 were evaluated in this structured, retrospective observational study. Of the 298 patients, 42 who were frail and 256 who were not in 2021 were assigned to the frailty and non-frailty groups, respectively. After comparing characteristics of both groups using univariate analysis, predictive factors of frailty were assessed by logistic regression analysis. The proportion of frail patients in 2021 by DAS28-ESR level in 2020 was examined by the Cochran-Armitage trend test and chi-squared test. After dividing pre-frail patients into those with DAS28-ESR ≥3.2 and DAS28-ESR <3.2 in 2020, one-year change in DAS28-ESR in the frailty and non-frailty groups for both subgroups were compared by the paired t-test.Results: The frailty group was older (mean: 71.0 vs. 65.4 years) and had a higher DAS28-ESR (mean: 3.22 vs. 2.70) than the non-frailty group. DAS28-ESR was identified as a predictive factor for frailty (OR: 1.49). Among patients with DAS28-ESR ≥3.2 in 2020, DAS28-ESR improved in the non-frailty group in 2021 (mean: 3.97 in 2020 vs. 3.13 in 2021) but did not in the frailty group (3.97 in 2020 vs. 3.81 in 2021). Among those with DAS28-ESR <3.2 in 2020, DAS28-ESR was unchanged in the non-frailty group in 2021 (2.15 in 2020 vs. 2.23 in 2021) but increased in the frailty group (2.53 in 2020 vs. 3.23 in 2021).Conclusions: Disease activity at baseline is an independent predictor of frailty one year later in pre-frail patients with RA. [ABSTRACT FROM AUTHOR]

Abstract 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.

Early diagnosis of frailty is of great value in helping the elderly to regain their health, as it is a non-specific state of reduced physiological reserve, resistance to disease and ability to recover from stress caused by the impairment in homeostasis maintained by multiple systems with sarcopenia as the basic characteristic. Recent developments in multiomic techniques provide new approaches to the detection of potentially specific, stable and reliable biomarkers of pre-frailty. We collected and reviewed recent advances in multiomic techniques for identifying frailty biomarkers, involving genomics, transcriptomics, proteomics and metabolomics, which can assist in assessing the risk of frailty, exploring potential mechanisms of frailty and developing targeted interventions to support healthy aging.

Abstract 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.

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. [ABSTRACT FROM AUTHOR]

Mild cognitive impairment (MCI) is associated with a high risk of dementia. Reportedly, 54.6% of older adults with MCI fall into the pre-frailty category. However, it is unclear what differences exist in older adults with regard to their physical, psychological, and functional capacities, which depend on MCI, pre-frailty, or a combination of the two. This study aimed to examine the differences between the association between physical function, psychological function, and functional capacity by examining a combination of MCI and pre-frailty among community-dwelling older Japanese individuals. The participants in the analysis were 236 older people living in the community. They were classified into four groups, as follows: normal, MCI only, pre-frailty only, and pre-frailty/MCI; furthermore, their physical, psychological, and functional capacities were compared. In addition, a multinomial logistic regression analysis was performed using MCI and pre-frailty as dependent variables. No associated factors were identified for MCI only, and a depressive mood was only associated with pre-frailty. When pre-frailty and MCI were combined, knee extension muscle strength, fastest gait speed, the s30 s chair stand test, depressed moods, and the instrumental activities of daily living (IADL) were correlated. Our results suggest that when MCI and pre-frailty are combined, declines in both physical and psychological functions and IADL are likely to occur. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Abstract 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.

Smartphone applications aimed at enhancing physical, cognitive, and social activities through mobile health (mHealth) technology are of increasing interest. Their feasibility and acceptability, alongside impacts on frailty phenotype scores and step counts among older adults with frailty, remain to be fully validated. This study presents a 13-week preliminary intervention trial assessing an mHealth app’s feasibility in a cohort of 34 eligible older adults, including 5 frail and 29 pre-frail participants. The intervention entailed a 6-week course on app usage, followed by 7 weeks of observation, with four participants withdrawing early. Feasibility was determined by login and active use rates, with a target login rate of 60% or higher. Post-intervention, 100% session attendance and a median login rate of 88.4% were observed. Acceptability was high, with 73% affirming the app’s health benefits. Notably, frailty scores and step counts improved post-intervention, underscoring the app’s potential for supporting older adults with frailty.

Pre-frailty is a transitional stage between health and frailty. Previous studies have demonstrated that individuals with pre-frailty experience declines in cognitive and gait performances compared with healthy individuals. However, the basic neural mechanism underlying this needs to be clarified. In this cross-sectional study, twenty-one healthy older adults and fifteen with pre-frailty underwent three conditions, including a single cognitive task (SC), single walking task (SW), and dual-task (DT), while cortical hemodynamic reactions were measured using functional near-infrared spectroscopy (fNIRS). The prefrail group (PG) showed a significantly lower activation of the left dorsolateral prefrontal cortex (L-DLPFC) than the healthy group (HG) when performing SC (p < 0.05). The PG showed a significantly lower Timed Up and Go test and step speed than the HG during SW (p < 0.05). The coefficient of variation (CV) of the step length of the PG was significantly higher than that of the HG when performing DT (p < 0.05). No significant correlation in cerebral cortex activation and gait parameters in the HG when performing SW and DT was noted (p > 0.05). Participants of the PG with a higher oxygenated area in the left anterior prefrontal cortex (L-APFC) had a lower step frequency during SW (r = −0.533, p = 0.041), and so did the following indicators of the PG during DT: L-APFC and step speed (r = −0.557, p = 0.031); right anterior prefrontal cortex and step speed (r = −0.610, p = 0.016); left motor cortex and step speed (r = −0.674, p = 0.006); step frequency (r = −0.656, p = 0.008); and step length (r = −0.535, p = 0.040). The negative correlations between the cerebral cortex and gait parameters of the PG indicated a neural compensatory effect of pre-frailty. Therefore, older adults with pre-frailty promote prefrontal activation to compensate for the impaired sensorimotor systems. [ABSTRACT FROM AUTHOR]

Objectives: Frailty and diabetes are on the rise due to the aging population. This study was conducted to examine frailty conditions among patients with Type 2 diabetes (T2DM) in Hanoi, Vietnam, as well as determine its associated factors. Methods: A cross-sectional study on T2DM patients at an urban hospital. This study assessed the frailty status using the FRAIL questionnaire. Socio-demographic, clinical, and paraclinical characteristics were obtained. Multivariate regression models were performed to detect factors associated with frailty. Results: Of 379 patients, the FRAIL scale results showed that 8/379 patients were at the frailty level (2.1%), and 33/379 patients were at the pre-frailty level (8.7%). Patients who had above high school education and were retired were at lower risk of pre-frailty/frailty than those with high school education or below, and self-employed, respectively. Conversely, patients with a higher number of comorbidities were more likely to develop pre-frailty and frailty. Conclusion: This study showed a low prevalence of pre-frailty and frailty among T2DM patients. It is necessary to manage diabetes carefully and strictly control the comorbidities in this population. Interventions should focus on higher risk populations, such as those with low education levels and self-employment. [ABSTRACT FROM AUTHOR]

Objectives: Aging is associated with changes in body composition. Excess adiposity among older adults has been linked with metabolic syndromes and aggravated age-associated decline in physical functioning. Few longitudinal studies have explored the association between dual-energy X-ray absorptiometry (DXA)-derived total as well as central adiposity measures and frailty. We examined the association of DXA-derived total and central adiposity with pre-frailty/frailty among Norwegian adults after 8 years of follow-up. Design: Prospective observational study. Setting: Community-dwelling adults from Tromsø, Norway. Measurements: Adiposity was defined by fat mass index (FMI) and visceral adipose tissue (VAT) mass assessed using DXA measures. Frailty status was assessed by low grip strength, slow walking speed, exhaustion, unintentional weight loss and low physical activity level. Pre-frail and frail participants at baseline were excluded. Sex-stratified multivariable logistic regression models were used to investigate the association. Results: Participants comprised 234 women (mean age 68 years) and 146 men (mean age 69 years) attending the population-based Tromsø Study in 2007–2008 (Tromsø6) and 2015–2016 (Tromsø7). At the end of follow-up, 25.6% of the women and 27.4% of the men were pre-frail/frail. Compared with women in the lowest tertiles, those in the highest tertile of baseline FMI (odds ratio [OR] 4.42, 95% confidence interval [CI] 1.88–10.35) and VAT mass (OR 2.47, 95% CI 1.10–5.50), respectively had higher odds for pre-frailty/frailty at follow-up. Conclusion: We found a higher likelihood of pre-frailty/frailty in later years among women with general and central adiposity in adulthood, highlighting the importance of preventing excess adiposity for healthy aging. [ABSTRACT FROM AUTHOR]

Abstract 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

Abstract 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.

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

ObjectiveFrailty increases poor clinical outcomes in older adults, the aim of this study was to investigate the prevalence and factors associated with frailty and pre-frailty in older adults in China.Research design and methodsData were obtained from the Sample Survey of the Aged Population in Urban and Rural China in 2015, which was a cross-sectional study involving a nationally representative sample of older adults aged 60 years or older from 31 provinces/autonomous regions/municipalities in mainland China. The frailty index (FI) based on 33 potential deficits was used to classify individuals as robust (FI < 0.12), pre-frail (FI ≧0.12 and

ObjectiveFrailty increases adverse clinical outcomes in older patients with cardio-cerebral vascular disease (CCVD). The aim of this study was to investigate the prevalence of frailty and pre-frailty in older adults with CCVD in China and the factors associated with it.Research design and methodsIn this cross-sectional study, we used data from the fourth Sample Survey of Aged Population in Urban and Rural China. We used the frailty index for frailty and pre-frailty assessment, and the diagnosis of CCVD in older adults was self-reported.ResultsA total of 53,668 older patients with CCVD were enrolled in the study. The age-standardized prevalence of frailty and pre-frailty in older patients with CCVD was 22.6% (95% CI 22.3–23.0%) and 60.1% (95% CI 59.7–60.5%). Multinomial logistic regression analyses showed that being female, increasing age, rural residence, illiteracy, widowhood, ethnic minority, living alone, no health screening during the last year, hospitalization during the last year, difficult financial status, comorbid chronic conditions, and disability in activities of daily living were associated with frailty and pre-frailty in older patients with CCVD.ConclusionCCVD is strongly associated with frailty and pre-frailty in older Chinese people, and assessment of frailty should become routine in the management of older CCVD patients. Appropriate public health prevention strategies should be developed based on identified risk factors for frailty in older CCVD patients, which can help prevent, ameliorate or reverse the development of frailty in CCVD in the older population.

Sarcopenia is the core factor of frailty. This study specifically focused on lower limb muscle strength and examined muscle indices that indicate the risk of frailty or pre-frailty in older adults. The study included 327 community-dwelling individuals aged ≥65 years (43.7% male) who participated in the cohort. Frailty was defined based on five symptoms: weight loss, low activity level, exhaustion, weakness and slowness. Participants were classified into frail (three or more applicable), pre-frail (one to two applicable) and non-frail groups. Muscle strength (knee extension strength, toe grip strength and hand grip strength) were assessed, and appendicular muscle mass was assessed via a bioelectrical impedance analysis. The adjusted odds ratio (OR) of muscle indices for with frailty (frail group vs. pre-frail group) or pre-frailty (pre-frail group vs. non-frail group) were calculated. The prevalence of frail and pre-frail was 7% and 40%, respectively. Adjusted for age, sex, albumin and medical history, knee extension strength was significantly associated with frailty (odds ratio 0.95, 95% CI 0.92–0.98), while hand grip strength was associated with pre-frailty (odds ratio 0.92, 95% CI 0.88–0.97) but not with other muscle indices. This study is significant for identifying knee extension strength as a factor relevant to frailty in older adults considered pre-frailty, emphasizing the importance of this specific muscle measure in predicting and managing frailty.

Abstract 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.

ObjectivesThis study aimed to investigate the relationship between frailty and all-cause mortality in hypertensive population.MethodsWe used data from the National Health and Nutrition Examination Survey (NHANES) 1999–2002 and mortality data from the National Death Index. Frailty was assessed using the revised version of the Fried frailty criteria (weakness, exhaustion, low physical activity, shrinking, and slowness). This study aimed to evaluate the association between frailty and all-cause mortality. Cox proportional hazard models were used to evaluate the association between frailty category and all-cause mortality, adjusted for age, sex, race, education, poverty–income ratio, smoking, alcohol, diabetes, arthritis, congestive heart failure, coronary heart disease, stroke, overweight, cancer or malignancy, chronic obstructive pulmonary disease, chronic kidney disease, and taking medicine for hypertension.ResultsWe gathered data of 2,117 participants with hypertension; 17.81%, 28.77%, and 53.42% were classified as frail, pre-frail, and robust, respectively. We found that frail [hazard ratio (HR) = 2.76, 95% confidence interval (CI) = 2.33–3.27] and pre-frail (HR = 1.38, 95% CI = 1.19–1.59] were significantly associated with all-cause mortality after controlling for variables. We found that frail (HR = 3.02, 95% CI = 2.50–3.65) and pre-frail (HR = 1.35, 95% CI = 1.15–1.58) were associated with all-cause mortality in the age group ≥65 years. For the frailty components, weakness (HR = 1.77, 95% CI = 1.55–2.03), exhaustion (HR = 2.25, 95% CI = 1.92–2.65), low physical activity (HR = 2.25, 95% CI = 1.95–2.61), shrinking (HR = 1.48, 95% CI = 1.13–1.92), and slowness (HR = 1.44, 95% CI = 1.22–1.69) were associated with all-cause mortality.ConclusionThis study demonstrated that frailty and pre-frailty were associated with an increased risk of all-cause mortality in patients with hypertension. More attention should be paid to frailty in hypertensive patients, and interventions to reduce the burden of frailty may improve outcomes in these patients.

ObjectiveThere are few studies on the prevalence and factors associated with frailty and pre-frailty in older adults with asthma worldwide. The aim of this study was to examine the epidemiological status and factors associated with frailty and pre-frailty in older adults with asthma in China.Research design and methodsData were obtained from the Sample Survey of Aged Population in Urban and Rural China in 2015, a nationwide cross-sectional survey covering 224,142 older people aged 60 years or older in 31 provinces/autonomous regions/municipalities in mainland China. We performed frailty and pre-frailty assessments using the frailty index, and the diagnosis of asthma in the older adults was self-reported based on the history of the physician's diagnosis.ResultsNine thousand four hundred sixteen older adults with asthma were included in the study. The age-sex standardized prevalence of frailty and pre-frailty in Chinese older adults with asthma was 35.8% (95% CI 34.8%−36.7%) and 54.5% (95% CI 53.5%−55.5%). Multinomial logistic regression analysis showed that increased age, female, illiteracy, living alone, poor economic status, ADL disability, comorbid chronic diseases, previous hospitalization in the past year, and residence in northern China were associated with frailty and pre-frailty in older adults with asthma.ConclusionThe prevalence of frailty and pre-frailty in Chinese older adults with asthma is very high, and assessment of frailty should become routine in the management of older adults with asthma. Appropriate public health prevention strategies based on identified risk factors for frailty in older adults with asthma should be developed to reduce the burden of frailty in Chinese older adults with asthma.

In the context of the present global aging phenomenon, the senior population and pace of aging in China have emerged as prominent issues on the worldwide stage. Frailty, a complicated condition that is closely linked to the clinical syndrome of advancing age, poses a considerable health risk to older individuals. Frailty status was assessed by the frailty index (FI) ranging from 0 to 1, pre-frailty was defined as >0.10 to <0.25, and frailty was defined as ≥0.25. To look at the connection between modifiable risk factors and frailty progression among individuals in the pre-frailty population. Using pre-frailty patients as characterized by the 32-frailty index, the study focused on middle-aged and elderly persons from China and ultimately recruited 5,411 participants for analysis. The relationship between modifiable factors and changes in pre-frailty status throughout follow-up was investigated. Modifiable factors were body mass index (BMI), abdominal obesity, smoking status, alcohol use, and sleep status. We employed logistic regression to examine the relationships between modifiable risk factors and changes in pre-frailty status, as well as the associations between modifiable factors scores and the corresponding pre-frailty progression. Additionally, we generated the modifiable factors scores and examined how these related to modifications in the pre-frailty stage. In this study, after a mean follow-up of 6 years, (OR = 0.59, 95%CI: 0.48–0.71) for BMI ≥ 25 kg/m2 and (OR = 0.74, 95%CI: 0.63–0.89) for concomitant abdominal obesity were significantly associated with lower reversal to a healthy state; (OR = 1.24, 95%CI:1.07–1.44) and (OR = 1.25, 95%CI: 1.10–1.42) for the group that negatively progressed further to frailty were significantly associated with increased frailty progression profile. Subsequently, investigation of modifiable factor scores and changes of pre-frailty status found that as scores increased further, frailty developed (OR = 1.12, 95%CI:1.05–1.18), with scores of 3 and 4 of (OR = 1.38, 95%CI: 1.08–1.77) and (OR = 1.52, 95%CI:1.09–2.14). Finally, we also performed a series of stratified analyses and found that rural unmarried men aged 45 to 60 years with less than a high school degree were more likely to develop a frailty state once they developed abdominal obesity. In pre-frailty individuals, maintaining more favorable controllable variables considerably enhances the chance of return to normal and, conversely, increase the risk of progressing to the frailty. • Study the relationship between modifiable risk factors and reversal or progression of frailty in pre-frailty individuals. • The assessment of frailty was conducted using a 32-item frailty index. • We proceeded to classify the outcome into three categories:return to normal, pre-frailty, and frailty progression. • Our study population was not restricted to the elderly population aged 60 years and older. [ABSTRACT FROM AUTHOR]

Mild cognitive impairment (MCI) is associated with a high risk of dementia. Reportedly, 54.6% of older adults with MCI fall into the pre-frailty category. However, it is unclear what differences exist in older adults with regard to their physical, psychological, and functional capacities, which depend on MCI, pre-frailty, or a combination of the two. This study aimed to examine the differences between the association between physical function, psychological function, and functional capacity by examining a combination of MCI and pre-frailty among community-dwelling older Japanese individuals. The participants in the analysis were 236 older people living in the community. They were classified into four groups, as follows: normal, MCI only, pre-frailty only, and pre-frailty/MCI; furthermore, their physical, psychological, and functional capacities were compared. In addition, a multinomial logistic regression analysis was performed using MCI and pre-frailty as dependent variables. No associated factors were identified for MCI only, and a depressive mood was only associated with pre-frailty. When pre-frailty and MCI were combined, knee extension muscle strength, fastest gait speed, the s30 s chair stand test, depressed moods, and the instrumental activities of daily living (IADL) were correlated. Our results suggest that when MCI and pre-frailty are combined, declines in both physical and psychological functions and IADL are likely to occur.

Abstract Background Pre‐frailty has been identified as a clinically silent mechanism pre‐disposing people to frailty. The goal of this study is to investigate the impact of low‐dose metformin on pre‐diabetic pre‐frail patients (>50 years) on skeletal muscle mass, speed of gait, handgrip power, and health‐related quality of life (HR‐QoL). Methods We did a retrospective cohort study of subjects aged 50 years and older who were diagnosed with pre‐frailty (one or two criteria present based on Fried Frailty Index) and pre‐diabetes (HbA1c 5.7% to 6.4%) from May 2018 to April 2020. Subjects taking low‐dose metformin were compared with non‐metformin participants through a review of the medical records. The results were analysed at baseline and 6–12 months post‐prescription with or without metformin. All data were accompanied by a 95% confidence interval. Results One hundred and thirteen pre‐diabetic and pre‐frail subjects were recruited to metformin [the mean metformin administration was 750 (140) mg/day] (n = 58) or control group (n = 55). The average age was 66.3 (6.8) years old, with 52.2% of the population being female. The baseline demographic, nutritional, physical, and mental status data did not differ between groups. In comparison with the control group, an 8.9 (1.8) month low‐dose metformin intervention resulted in a higher skeletal muscle mass index of 1.26 (1.66) kg/m2 (P = 0.029), a faster gait speed of 0.15 (0.22) m/s (P = 0.011), and a greater handgrip strength of 2.1 (2.9) kg (P = 0.037). However, there was no difference in myostatin serum levels or HR‐QoL between groups. Conclusions Low‐dose metformin was statistically and clinically meaningful to improve the original skeletal muscle mass index, gait speed, and grip strength as part of the sarcopenia dimension, but the Euro Quality of Life‐5 Dimensions index and myostatin serum levels did not change significantly.

Objectives: Metabolic syndrome (MetS) is a risk factor for cardiovascular disease, diabetes, and all-cause mortality. Frailty is a condition of decreased multi-system physiological reserve where one has increased vulnerability to stressors. This study aimed to examine if MetS is associated with prevalent and incident frailty over a 4-year follow-up period in an aged population. Methods: This study used data from waves 1 (2009–2011) and 3 (2014–2015) of The Irish Longitudinal Study on Ageing. Those aged 5100), showed MetS was associated with prevalent frailty as assessed by both FP (odds ratio (OR) 1.29, p

ObjectiveTo explore the prevalence and factors associated with frailty and pre-frailty in elderly Chinese patients with hypertension.BackgroundIn China, there have been few national studies into the prevalence and factors associated with frailty and pre-frailty in elderly patients with hypertension.MethodsThrough the 4th Sample Survey of Aged Population in Urban and Rural China (SSAPUR) in 2015, the situation of hypertension subjects aged 60 years or older in 31 provinces, autonomous regions, and municipalities in mainland China was obtained. And the frailty index was constructed based on 33 potential defects, elderly hypertensive patients are classified as robust, frailty, and pre-frailty.ResultsA total of 76,801 elderly patients with hypertension were enrolled in the study. The age-sex standardized prevalence of frailty and pre-frailty in hypertensive elderly in China was 16.1% (95%CI 15.8–16.3%), 58.1% (95%CI 57.7–58.4%). There were significant geographical differences in the prevalence of frailty and pre-frailty in elderly hypertensive patients. Multinomial logistic regression analysis showed that poor economic status, activities of daily living disability, and comorbid chronic diseases were related to frailty and pre-frailty.ConclusionFrailty and pre-frailty are very common in elderly Chinese patients with hypertension and have similar risk factors. Prevention strategies should be developed to stop or delay the onset of frailty by targeting established risk factors in the pre-frailty population of elderly hypertension. It is also crucial to optimize the management of frailty in elderly Chinese patients with hypertension.

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Objective: To determine if pre-frail Chronic obstructive pulmonary disease (COPD) patients with poor and non-poor performance in the five-repetition sit-to-stand test (5-STS) had a worse prognosis for hospitalization and mortality at 2 years and for mortality at 5 years than non-frail patients. Methods: We prospectively included patients with stable COPD, between 40 and 80 years, from a hospital in Spain. Patients were classified according their performance on the 5-STS test and level of frailty. Timing, number of hospitalizations, length of stay, and timing and rate of mortality were outcome measures. Patients were followed for 2 years for exacerbations and for 5 years for mortality. Kaplan-Meier curves and univariate and multivariate Cox proportional-hazard analyses, ANOVA tests and univariate and multivariate linear and logistic regression models were used. Results: Of the 125 patients included, 25.6% were pre-frail with poor performance, 57% pre-frail with non-poor performance, and 17.4% non-frail with non-poor performance. Pre-frail patients with poor performance had a higher number of hospitalizations (adjusted beta: 0.49; 95% CI: 0.01-0.96), mortality rates (odds ratio: 11.33; 95% CI: 1.15-110.81), and risk at 5 years (adjusted hazard ratio: 8.77; 95% CI: 1.02-75.51) than non-frail patients. Pre-frail patients with poor performance also had worse prognoses than non-frail patients with respect to length of hospital stays (increased by 4.16 days) and timing to first hospitalization (HR: 6.01) in unadjusted models, but not when adjusted. Conclusion: The COPD prognosis of pre-frail patients with respect to the number of exacerbations with hospitalization and the timing and rate of mortality is dependent of functional performance. [ABSTRACT FROM AUTHOR]

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., (© 2024. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.)