Post-COVID-19 patients in geriatric rehabilitation substantially recover in daily functioning and quality of life.

BACKGROUND: After an acute infection, older persons may benefit from geriatric rehabilitation (GR). OBJECTIVES: This study describes the recovery trajectories of post-COVID-19 patients undergoing GR and explores whether frailty is associated with recovery. DESIGN: Multicentre prospective cohort study. SETTING: 59 GR facilities in 10 European countries. PARTICIPANTS: Post-COVID-19 patients admitted to GR between October 2020 and October 2021. METHODS: Patients' characteristics, daily functioning (Barthel index; BI), quality of life (QoL; EQ-5D-5L) and frailty (Clinical Frailty Scale; CFS) were collected at admission, discharge, 6 weeks and 6 months after discharge. We used linear mixed models to examine the trajectories of daily functioning and QoL. RESULTS: 723 participants were included with a mean age of 75 (SD: 9.91) years. Most participants were pre-frail to frail (median [interquartile range] CFS 6.0 [5.0-7.0]) at admission. After admission, the BI first steeply increased from 11.31 with 2.51 (SE 0.15, P < 0.001) points per month and stabilised around 17.0 (quadratic slope: -0.26, SE 0.02, P < 0.001). Similarly, EQ-5D-5L first steeply increased from 0.569 with 0.126 points per month (SE 0.008, P < 0.001) and stabilised around 0.8 (quadratic slope: -0.014, SE 0.001, P < 0.001). Functional recovery rates were independent of frailty level at admission. QoL was lower at admission for frailer participants, but increased faster, stabilising at almost equal QoL values for frail, pre-frail and fit patients. CONCLUSIONS: Post-COVID-19 patients admitted to GR showed substantial recovery in daily functioning and QoL. Frailty at GR admission was not associated with recovery and should not be a reason to exclude patients from GR.

Frailty and depressive symptoms in older kidney transplant recipients: opportunities for collaboration between transplant nephrologists and geriatricians.

BACKGROUND: Frailty is one of the key syndromes in geriatric medicine and an important factor for post-transplant outcomes. We aimed to describe the prevalence of frailty and examine the correlates of frailty and depressive symptoms in older kidney transplant recipients (KTRs). METHODS: This cross-sectional study involved 112 kidney transplant recipients (KTRs) aged 70 and above. Frailty syndrome was assessed using the Fried frailty criteria, and patients were categorized as frail, pre-frail, or non-frail based on five frailty components: muscle weakness, slow walking speed, low physical activity, self-reported exhaustion, and unintentional weight loss. Depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS). The relationship between frailty and depressive symptoms was evaluated using multinomial logistic regression, with the three frailty categories as the dependent variable and the severity of depressive symptoms as the independent variable, while controlling for age, gender, renal graft function, and time since transplant surgery. RESULTS: The participants had a mean age of 73.3 ± 3.3 years, and 49% were female. The prevalence of frailty syndrome was 25% (n = 28), pre-frailty was 46% (n = 52), and 29% (n = 32) of the KTRs were non-frail. The mean score for depressive symptoms was 3.1 ± 2.4 points, with 18% scoring above the clinical depression cutoff. Depressive symptoms were positively correlated with frailty (r = .46, p < .001). Among the frailty components, self-reported exhaustion (r = .43, p < .001), slow walking speed (r = .26, p < .01), and low physical activity (r = .44, p < .001) were significantly positively correlated with depressive symptoms, while muscle strength (p = .068) and unintentional weight loss (p = .050) were not. A multinomial logistic regression adjusted for covariates indicated that, compared to being non-frail, each additional point on the GDS increased the odds of being pre-frail by 39% (odds ratio [OR] = 1.39, 95% confidence interval [CI] 1.01-1.96) and roughly doubled the odds of being frail (OR = 2.01, 95% CI 1.39-2.89). CONCLUSION: There is a strong association between frailty and depression in KTRs aged 70 years and older. Targeted detection has opened up a new avenue for collaboration between geriatricians and transplant nephrologists.

'I think we could probably do more': an interview study to explore community pharmacists' experiences and perspectives of frailty and optimising medicines use in frail older adults.

BACKGROUND: Community pharmacists potentially have an important role to play in identification of frailty and delivery of interventions to optimise medicines use for frail older adults. However, little is known about their knowledge or views about this role. AIM: To explore community pharmacists' knowledge of frailty and assessment, experiences and contact with frail older adults, and perceptions of their role in optimising medicines use for this population. METHODS: Semi-structured interviews conducted between March and December 2020 with 15 community pharmacists in Northern Ireland. Interviews were transcribed verbatim and analysed thematically. RESULTS: Three broad themes were generated from the data. The first, 'awareness and understanding of frailty', highlighted gaps in community pharmacists' knowledge regarding presentation and identification of frailty and their reluctance to broach potentially challenging conversations with frail older patients. Within the second theme, 'problem-solving and supporting medication use', community pharmacists felt a large part of their role was to resolve medicines-related issues for frail older adults through collaboration with other primary healthcare professionals but feedback on the outcome was often not provided upon issue resolution. The third theme, 'seizing opportunities in primary care to enhance pharmaceutical care provision for frail older adults', identified areas for further development of the community pharmacist role. CONCLUSIONS: This study has provided an understanding of the views and experiences of community pharmacists about frailty. Community pharmacists' knowledge deficits about frailty must be addressed and their communication skills enhanced so they may confidently initiate conversations about frailty and medicines use with older adults.

How do primary care clinicians approach the management of frailty? A qualitative interview study.

BACKGROUND: Around 15% of adults aged over 65 live with moderate or severe frailty. Contractual requirements for management of frailty are minimal and neither incentivised nor reinforced. Previous research has shown frailty identification in primary care is ad hoc and opportunistic, but there has been little focus on the challenges of frailty management, particularly within the context of recent introduction of primary care networks and an expanding allied health professional workforce. AIM: Explore the views of primary care clinicians in England on the management of frailty. DESIGN AND SETTING: Semi-structured interviews were conducted with clinicians across England, including general practitioners (GPs), physician associates, nurse practitioners, paramedics and clinical pharmacists. Thematic analysis was facilitated through NVivo (Version 12). RESULTS: A total of 31 clinicians participated. Frailty management was viewed as complex and outside of clinical guidelines with medication optimisation highlighted as a key example. Senior clinicians, particularly experienced GPs, were more comfortable with managing risk. Relational care was important in prioritising patient wishes and autonomy, for instance to remain at home despite deteriorations in health. In settings where more formalised multidisciplinary frailty services had been established this was viewed as successful by clinicians involved. CONCLUSION: Primary care clinicians perceive frailty as best managed through trusted relationships with patients, and with support from experienced clinicians. New multidisciplinary working in primary care could enhance frailty services, but must keep continuity in mind. There is a lack of evidence or guidance for specific interventions or management approaches.

Oral frailty is associated with mortality independently of physical and psychological frailty among older adults.

BACKGROUND: Although oral frailty is independently associated with an increased risk of mortality, evidence for the usefulness of screening tools for oral frailty is less than that for physical frailty screening tools. We aimed to investigate the relationship between oral frailty and mortality in older adults. METHODS: This prospective cohort study included 11,374 adults aged ≥65 years, who provided valid responses to a baseline mail survey questionnaire from the Kyoto-Kameoka study. Oral frailty status was evaluated using the Oral Frailty Index-8 (range, 0 [best] to 10 [worst]). Participants were classified into four categories according to the Oral Frailty Index-8: robust (score, 0-2), oral pre-frailty (score, 3), oral frailty (score, 4-6), and oral severe frailty (score ≥ 7). Physical and psychological frailty were evaluated using the validated frailty-screening index and defined as a score of ≥3 out of a possible 5 points. Mortality data were collected from 30 July 2011 to 30 November 2016. Hazard ratios (HR) for all-cause mortality were calculated using a multivariable Cox proportional hazards model. RESULTS: During the 5.3-year median follow-up period (57,157 person-years), 1184 deaths were recorded. After adjusting for confounders, including physical and psychological frailty, medical history, and lifestyle, in comparison with a robust oral status, oral pre-frailty (HR, 1.29; 95 % confidence interval [CI], 1.02-1.63), oral frailty (HR, 1.22; 95 % CI, 1.01-1.48), and oral severe frailty (HR, 1.43; 95 % CI, 1.16-1.76) were associated with higher HRs of mortality (p for trend = 0.002). CONCLUSION: Oral frailty is associated with mortality independent of physical and psychological frailty in older adults. The Oral Frailty Index-8 may be useful for identifying individuals at high risk of mortality.

Cross-cultural adaptation and psychometric evaluation of the social frailty scale in Iranian older adults.

BACKGROUND: Social frailty is a holistic concept encompassing various social determinants of health. Considering its importance and impact on health-related outcomes in older adults, the present study was conducted to cross-culturally adapt and psychometrically evaluate the Social Frailty Scale in Iranian older adults in 2023. METHODS: This was a methodological study. The translation and cross-cultural adaptation of the Social Frailty Scale 8-item (SFS-8) was conducted according to Wild's guideline. Content and face validity were assessed using qualitative and quantitative methods. Then, 250 older adults covered by comprehensive health centers were selected using multistage random sampling. Participants completed the demographic questionnaire, the Abbreviated Mental Test score, the SFS-8, and the Lubben Social Network Scale. Construct validity was assessed by principal component analysis (PCA) and known-group comparisons. The Mann‒Whitney U test was used to compare social frailty scores between the isolated and non-isolated older adults. Internal consistency, equivalence, and stability were assessed using the Kuder-Richardson method, the intraclass correlation coefficient (ICC), the standard error of measurement (SEM), and the minimum detectable change (MDC). The ceiling and floor effects were also assessed. The data were analyzed using JASP 0.17.3. RESULTS: The ratio and index of content validity and the modified kappa coefficient of all the items were 1.00. The impact score of the items was greater than 4.6. PCA identified the scale as a single component by removing two questions that could explain 52.9% of the total variance in the scale score. The Persian version of the Social Frailty Scale could distinguish between isolated and non-isolated older adults (p < 0.001). The Kuder-Richardson coefficient, ICC, SEM, and MDC were 0.606, 0.904, 0.129, and 0.358, respectively. The relative frequencies of the minimum and maximum scores obtained from the scale were 34.8 and 1.2, respectively. CONCLUSIONS: The Persian version of the Social Frailty Scale (P-SFS) can be used as a valid and reliable scale to assess social frailty in Iranian older adults.

POSITIVE: experiences of an intervention aiming for reversing and preventing frailty using a home monitoring and communication platform within primary health care.

BACKGROUND: Frailty is increasing worldwide as the population ages. Physical activity is one component that has been shown to hinder and even reverse the process. The POSITIVE system (i.e., maintaining and imPrOving the intrinSIc capaciTy Involving primary care and caregiVErs) is a prevention program that consists of home-monitoring equipment and a communication platform to support the initial treatment of frailty symptoms in primary health care. The participants, older aged (+ 70) frail persons and those at risk for frailty, took part in the program that promoted physical activity at home for six months. The aim was to explore and describe older persons' experiences of participating in a new prevention program using the POSITIVE system including technological tools intended to prevent the development of frailty. METHODS: Nine interviews were conducted about experiences of participating in an intervention including use of technological tools to support physical activity. Qualitative content analysis was applied. RESULTS: Two themes revealed: (1) Perceptions of being old are seldom positive, and (2) A rewarding and fruitful participation in the project with suggestions for improvement. Becoming older was related to physical pain and tiredness reducing the performance of former meaningful activities as well as an increase in mental stress. There was also a tendency to postpone the start of everyday activities, and in general, fewer activities were planned for one day than at younger ages. Participating in a physical activity intervention, including the use of technical tools, was considered meaningful and added motivation for engaging in other physical activities, this despite some difficulties with technical tools provided by the program. The contact with health care and the research team was appreciated. In addition, contact with other participants was requested and reported to be highly valued if added to the intervention, which could have been an expression of loneliness. CONCLUSION: Participation in a prevention program motivated activities and social interaction. Adding opportunities for participants to meet each other is suggested for improving the intervention in terms of increasing the social dimensions. Our findings conclude that despite difficulties with handling the technical tools for the home-monitoring and communication platform, participation in the POSITIVE intervention was in general a positive experience.

The effect of frailty levels of older individuals on their mental well-being and depression levels.

BACKGROUND: Frailty has become an important public health issue. This study was conducted to determine the effect of frailty levels of older individuals on their mental well-being and depression levels. METHODS: This descriptive cross-sectional study was conducted with a total of 325 older individuals aged 60 years and over. A demographic questionnaire form, the FRAIL Frailty Scale, the Warwick-Edinburgh Mental Well-Being Scale, and the Geriatric Depression Scale-Short Form were used to collect data. Data were evaluated using the SPSS 25.0 package program. Number, percentage, mean, standard deviation, Chi-square, correlation, and multiple regression analyses were used. RESULTS: The mean age of the older individuals was 69.56 ± 7.75 years, and the variables of age, education level, income status, the person they were living with, regular medication use, forgetting to take medication, urinary incontinence, hospitalisation, and accidents were found to affect both frailty and depression (P < 0.05). There was a positive correlation between frailty and depression (r: 0.460, P < 0.001) and a negative correlation between mental frailty and well-being (r: -0.391, P < 0.001). Socio-demographic variables, depression, and mental well-being had a 40% effect on frailty (P < 0.001). CONCLUSION: Depression status and mental well-being level are related to frailty, so negativity in one of them negatively affects the other. In line with these results, it is recommended to determine the level of depression and mental well-being of older individuals with high risk of frailty, and according to the results of the research, to provide care and support regarding the predictors affecting frailty.

Application of machine learning in predicting frailty syndrome in patients with heart failure.

Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require innovative systems to help medical personnel tailor and optimize their treatment and care. Traditional methods of diagnosing FS in patients could be more satisfactory. Healthcare personnel in clinical settings use a combination of tests and self-reporting to diagnose patients and those at risk of frailty, which is time-consuming and costly. Modern medicine uses artificial intelligence (AI) to study the physical and psychosocial domains of frailty in cardiac patients with HF. This paper aims to present the potential of using the AI approach, emphasizing machine learning (ML) in predicting frailty in patients with HF. Our team reviewed the literature on ML applications for FS and reviewed frailty measurements applied to modern clinical practice. Our approach analysis resulted in recommendations of ML algorithms for predicting frailty in patients. We also present the exemplary application of ML for FS in patients with HF based on the Tilburg Frailty Indicator (TFI) questionnaire, taking into account psychosocial variables.

Dynamic associations between frailty and cognition over 4 years: A population-based study on adults aged ≥50 from 12 European countries.

PURPOSE: This study aimed (1) to investigate autoregressive and cross-lagged associations between frailty and cognition over 4 years in a large sample of European citizens aged ≥50 years, (2) to examine the 4-year temporal associations' differences between sex and between active and inactive physical behaviour, and (3) to explore in the years 2011, 2013, and 2015 associations between cognitive performance and the pre-frailty and frailty conditions. MATERIALS AND METHODS: This longitudinal analysis was conducted with 20,857 individuals (11,540 women) from 12 countries aged ≥50 years who responded to waves 4, 5, and 6 of the SHARE project. The variables analysed were frailty (SHARE-FI) and a general cognition index (Cogindex) calculated for each wave from verbal fluency, immediate recall, and delayed recall. RESULTS: A greater propensity for cognitive impairment was found in women, as well as in pre-frail and frail individuals. There were no significant differences between the sexes for the autoregressive effect of frailty and Cogindex over 4 years. On the other hand, sedentary and active individuals differed in frailty between Time 1-2. Cross-lagged analyses indicated a significant difference for the sexes between frailty and Cogindex Time 1-3 and between Cogindex and frailty of Time 2-3. Sedentary and active differed significantly in the path of frailty on Cogindex between Time 2-3. CONCLUSION: Health policies should increase surveillance of frailty, cognition, and level of physical activity in the older European population, with a special focus on women.

Quality of life among older patients after elective ventral hernia repair: A retrospective review.

BACKGROUND: Ventral hernia repair is a common elective general surgery procedure among older patients, a population at greater risk of complications. Prior research has demonstrated improved quality of life in this population despite increased risk of complications. This study sought to assess the relationship between post-ventral hernia repair quality of life and patient frailty. We hypothesized that frail patients would report smaller gains in quality of life compared to the non-frail group. METHODS: The Abdominal Core Health Quality Collaborative was used to identify a cohort of patients 65 years of age or older undergoing elective ventral hernia repair from 2018 to 2022. Patients were categorized based on their modified frailty index scores as not frail/prefrail, frail, and severely frail. Quality of life was assessed using a patient-reported 12-item scale preoperatively, 30 days, 6 months, and 1 year postoperatively. RESULTS: A total of 3,479 patients were included: 30.93% non-frail, 47.17% frail, and 21.90% severely frail. Severely frail patients had lower quality of life scores at baseline (P = .001) but reported higher quality of life at both 30 days (1.24 points higher, 95% confidence interval (-1.51, 2.52), P = .010) and 6 months (0.92 points higher, 95% confidence interval (-2.29, 4.13), P = .005). Severely frail patients had higher rates of surgical site complications (P < .001) but no difference in 30-day readmissions. CONCLUSION: Our results found that frail patients reported the greatest increase in quality of life 1 year from baseline, showing that they, when selected appropriately, can gain equal benefits and have similar surgical outcomes as their non-frail counterparts.

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.

Assessing frailty amongst older people admitted to hospital in a low-income setting: a multicentre study in northern Tanzania.

BACKGROUND: Populations are ageing globally and Low- and Middle-Income Countries (LMICs) are experiencing the fastest rates of demographic change. Few studies have explored the burden of frailty amongst older people in hospital in LMICs, where healthcare services are having to rapidly adapt to align with the needs of older people. This study aimed to measure the prevalence of frailty amongst older people admitted to hospital in Tanzania and to explore their demographic and clinical characteristics. METHODS: This study had a prospective observational design. Over a six-month period, all adults ≥ 60 years old admitted to medical wards in four hospitals in northern Tanzania were invited to participate. They were screened for frailty using the Clinical Frailty Scale (CFS) and the Frailty Phenotype (FP). Demographic and clinical characteristics of interest were recorded in a structured questionnaire. These included the Barthel Index, the Identification of Elderly Africans Instrumental Activities of Daily Living (IADEA-IADL) and Cognitive (IDEA-Cog) screens, the EURO-D depression scale and Confusion Assessment Method. RESULTS: 540 adults aged ≥ 60 were admitted, and 308 completed assessment. Frailty was present in 66.6% using the CFS and participants with frailty were significantly older, with lower levels of education and literacy, greater disability, greater comorbidity, poorer cognition and higher levels of delirium. Using the FP, 57.0% of participants were classed as frail though a majority of participants (n = 159, 51.6%) could not be classified due to a high proportion of missing data. CONCLUSIONS: This study indicates that the prevalence of frailty on medical wards in northern Tanzania is high according to the CFS. However, the challenges in operationalising the FP in this setting highlight the need for future work to adapt frailty screening tools for an African context. Future investigations should also seek to correlate frailty status with long-term clinical outcomes after admission in this setting.

Exploring the chain mediating roles of frailty and depressive symptoms in the relationship between pain and cognitive function among nursing home older adults.

BACKGROUND: The prevalence of cognitive decline is high among nursing home older adults. Pain is a vital factor in cognitive function. Furthermore, the current literature lacks the complex association between pain, frailty, depressive symptoms, and cognitive function. The aim of this study was to explore the chain mediating roles of frailty and depressive symptoms in the association between pain and cognitive function among nursing home older adults. METHODS: This is a population-based cross-sectional study, conducted in China, of 210 nursing home older adults aged 64-98 years old, who completed the measurements of sociodemographic information, pain, frailty, depressive symptoms, and cognitive function. Mediation analyses tested the indirect effect of frailty and depressive symptoms in the relationship between pain and cognitive function by PROCESS macro. RESULTS: Pain, frailty, as well as depressive symptoms, were negatively related to cognitive function. Frailty mediated the association between pain and cognitive function. Importantly, mediation analyses showed that frailty and depressive symptoms acted as sequential mediators of pain and cognitive function. CONCLUSIONS: These findings have crucial clinical implications, as they suggest targeting physiological and psychological factors in older adults with chronic pain to alleviate cognitive decline.

Defining the Role of Frailty in the Transition from Mild Cognitive Impairment to Dementia and in Dementia Progression.

INTRODUCTION: Neurodegenerative diseases are a growing concern in an aging global population. Frailty, often conceptualized as a state of diminished physiological reserve and increased susceptibility to stressors, emerges as a pivotal factor in this context. While frailty may be modified, it is essential to recognize its frequently irreversible nature, necessitating a careful approach when considering its role and influence in the progression from mild cognitive impairment (MCI) to dementia and within dementia progression. METHODS: A retrospective study including 1,284 participants, attending a Cognitive Disturbances and Dementia unit from January 2021 to May 2023, was conducted. Frailty was assessed using the clinical frailty scale (CFS) score. Multilevel univariate and multivariate logistic regression models were developed to determine the contributions of patient characteristics, including frailty, to disease progression. RESULTS: Frailty significantly increased with higher global clinical dementia rating (CDR) subgroups, suggesting escalating frailty burden with disease progression. Age, CFS, and mini-mental state examination (MMSE) scores were significant predictors of progression from MCI to dementia and to more severe dementia stages, even when considering the independence from variables contributing to frailty. Patients transitioning to a higher CDR group exhibited higher CFS scores. Age, education, anticholinergic burden, cumulative illness rating scale - geriatric, MMSE, and neuropsychiatric inventory scores significantly contributed to frailty. CONCLUSIONS: Frailty plays a critical role in the transition from MCI to dementia and within dementia progression. Age, cognitive impairment, and frailty were identified as significant predictors of disease progression. The CFS is a clinically applicable tool for frailty assessment. Regular frailty assessments may be valuable in early detection and management of dementia.

Quality of Life Among Older Adults With Frailty: A Structural Equation Modeling.

PURPOSE: Frailty is a complex age-related clinical condition among older adults. Quality of life (QOL) among older adults with frailty is an important topic of interest. The current cross-sectional study aimed to develop a structural equation model to identify factors affecting QOL. METHOD: A total of 180 older adults with frailty were recruited from general units in two hospitals in Fuzhou, China. Data were collected using the World Health Organization Quality of Life Brief Version, Pittsburgh Sleep Quality Index, Geriatric Depression Scale-15, and Simplified Coping Style Questionnaire. Structural equation modeling was used to analyze data. RESULTS: The final model exhibited a good fit. Poor sleep quality was associated with depression, passive coping style, and poor QOL. Depression was also associated with poor QOL. Passive coping style was associated with better QOL. CONCLUSION: This study demonstrated that sleep quality has direct and indirect effects on QOL of older adults with frailty through depression and passive coping style. Recommendations are that care providers pay attention to biological and physiological variables, symptom status, and functional status of older adults with frailty. This study also provides a theoretical basis for developing interventions that may lead to improvements in QOL among older adults with frailty. [Journal of Psychosocial Nursing and Mental Health Services, 62(5), 49-55.].

Factors affecting cognitive frailty improvement and progression in Taiwanese older adults.

BACKGROUND: Knowledge of predictors of cognitive frailty (CF) trajectories is required to develop preventive strategies to delay or reverse the progression from CF to dementia and other adverse outcomes. This 2-year prospective study aimed to investigate factors affecting the progression and improvement of CF in older Taiwanese adults. METHODS: In total, 832 community-dwelling people aged ≥ 65 years were eligible. Fried's five frailty criteria were used to measure prefrailty and frailty, while cognitive performance was assessed by the Clinical Dementia Rating and Mini-Mental State Examination. Each component of reversible CF and potentially reversible CF was assigned a score, with a total score ranging 0 to 5 points. Two annual follow-up CF assessments were conducted. The group-based trajectory model was applied to identify latent CF trajectory groups, and a multinomial logistic regression was used to examine relationships of explanatory variables with CF trajectories. RESULTS: According to data on 482 subjects who completed the two annual follow-ups, three CF trajectories of robust, improvement, and progression were identified. After adjusting for the baseline CF state, CF progression was significantly associated with an older age (odds ratio [OR] = 1.08; 95% confidence interval [CI], 1.02 ~ 1.14), a lower Tinetti balance score (OR = 0.72; 95% CI, 0.54 ~ 0.96), a slower gait (OR = 0.98; 95% CI, 0.97 ~ 0.99), and four or more comorbidities (OR = 2.65; 95% CI, 1.19 ~ 5.90), while CF improvement was not significantly associated with any variable except the baseline CF state. In contrast, without adjusting for the baseline CF state, CF progression was significantly associated with an older age, female sex, balance scores, gait velocity, regular exercise, the number of comorbidities, and depression, while CF improvement was significantly associated with female sex, balance scores, and the number of comorbidities. CONCLUSIONS: The baseline CF state, an older age, poorer balance, slower gait, and a high number of comorbidities may contribute to CF progression, while the baseline CF state may account for associations of engaging in regular exercise and depression with CF development.

Development and validation of prediction model for older adults with cognitive frailty.

OBJECTIVE: This study sought to develop and validate a 6-year risk prediction model in older adults with cognitive frailty (CF). METHODS: In the secondary analysis of Chinese Longitudinal Healthy Longevity Survey (CLHLS), participants from the 2011-2018 cohort were included to develop the prediction model. The CF was assessed by the Chinese version of Mini-Mental State Exam (CMMSE) and the modified Fried criteria. The stepwise regression was used to select predictors, and the logistic regression analysis was conducted to construct the model. The model was externally validated using the temporal validation method via the 2005-2011 cohort. The discrimination was measured by the area under the curve (AUC), and the calibration was measured by the calibration plot. A nomogram was conducted to vividly present the prediction model. RESULTS: The development dataset included 2420 participants aged 60 years or above, and 243 participants suffered from CF during a median follow-up period of 6.91 years (interquartile range 5.47-7.10 years). Six predictors, namely, age, sex, residence, body mass index (BMI), exercise, and physical disability, were finally used to develop the model. The model performed well with the AUC of 0.830 and 0.840 in the development and external validation datasets, respectively. CONCLUSION: The study could provide a practical tool to identify older adults with a high risk of CF early. Furthermore, targeting modifiable factors could prevent about half of the new-onset CF during a 6-year follow-up.

Is age discrimination a risk factor for frailty progression and frailty development among older adults? A prospective cohort analysis of the English Longitudinal Study of Ageing.

BACKGROUND: With the increasing global burden of frailty on healthcare resources, it is important to understand the modifiable risk factors of frailty. This study examined perceived age discrimination as a potential risk factor for frailty progression and frailty development among older adults. METHODS: Prospective cohort study using data from Waves 5 to 9 of the English Longitudinal Study of Ageing (ELSA). Data on perceived age discrimination was collected only in Wave 5 of ELSA and analysed as baseline data in this study. Frailty was defined using the Frailty Index (FI) scores (0 to 1), calculated using the multidimensional deficits (scores ≥ 0.25 were considered frail). Binomial generalised estimating equation models (GEE) were fitted in R studio using perceived age discrimination as the main predictor with age, gender, long-standing illness, cognition, subjective social status status (SSS) and psychological wellbeing as covariates. Odd ratios were reported with 95 % confidence intervals (CI). RESULTS: A total sample of 2,385 ELSA participants were included in the analysis. 55.8 % (n = 1312) were female, mean age 71.9 (SD ± 5.27) years and baseline frailty prevalence was 12.1 % (n = 288). Perceived age discrimination was reported by 38.4 % (n = 916) of the participants. Both frailty progression (OR 1.50, CI [1.26- 1.70]) and frailty development (OR 1.39, CI [1.14-1.62]) were significantly associated with perceived age discrimination in the fully adjusted models. Age (80+ years) (OR 3.72, CI [2.84-4.86]) and long-standing illness (OR 5.45, CI [4.43-6.67]) had the strongest association with respondents' frailty progression. CONCLUSION: Perceived age discrimination significantly increased the risk of frailty progression and frailty development among ELSA participants.