Cognitive frailty as a predictor of adverse outcomes among older adults: A systematic review and meta-analysis

Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors

Cognitive frailty (CF), a clinical syndrome involving both physical frailty (PF) and impaired cognition (IC), is associated with adverse health outcomes in older adults. This study aimed to identify key predictors of CF and develop a machine learning-based model for CF risk assessment using data from 2404 community-dwelling older adults in the Korean Frailty and Aging Cohort Study (2016-2017). PF was evaluated using Fried frailty phenotype, while IC was assessed using Mini-Mental State Examination (MMSE). Participants exhibiting at least one frailty phenotype and MMSE score ≤ 24 were classified as having CF. A comprehensive analysis encompassing sociodemographic, clinical, and health status characteristics was conducted. A machine learning approach incorporating recursive feature elimination and bootstrapping was employed to develop the prediction model. Among the diverse CF-associated characteristics, the machine learning-based model identified six optimal features (key predictors): motor capacity, education level, physical function limitation, nutritional status, balance confidence, and activities of daily living. The model demonstrated robust predictive performance, achieving an area under the curve of 84.34%, with high sensitivity, specificity, and accuracy. These findings underscore the importance of comprehensive health assessments for early CF detection and demonstrate the potential of predictive modeling in facilitating personalized interventions for at-risk older adults.

Factors influencing the cognitive performance in cognitively unimpaired older adults and people living with Alzheimer's disease: Insights from a middle-income Latin American country

Low- and middle-income countries, such as Brazil, often face higher dementia risk due to factors like lower education levels, with up to 90% of dementia cases remaining undiagnosed. Understanding factors that contribute to the cognitive performance of older adults may support healthcare professionals from these countries in their decision-making process when screening for cognitive decline in their communities. This study investigates factors associated with cognitive performance in older adults from a Latin American country. This cross-sectional and analytical study involved 137 participants (84 cognitively unimpaired older adults and 53 people with Alzheimer's Disease) from Brazil. The assessment included a sociodemographic questionnaire, the Addenbrooke's Cognitive Examination-Revised (ACE-R), the Mini-Mental State Examination (MMSE), the Memory Complaint Scale (MCS), Clinical Dementia Rating (CDR), Geriatric Depression Scale (GDS-15), Geriatric Anxiety Inventory (GAI-5), Katz scale, Lawton and Brody scale, and Pfeffer Functional Activity Questionnaire (PFAQ). Data were analyzed using descriptive statistics, linear regression, and mediation analysis, with a significance level set at p<0.05. AD participants were older, had fewer years of formal education, showed poorer cognitive performance, and had lower functionality. Age, education, and functionality were significantly associated with cognitive performance. Mediation analysis showed that years of education mediated the relationship between functionality and cognitive performance. This study underscores the significance of age, education, and functionality as key factors in cognitive performance among older adults in Brazil, providing valuable knowledge for improving cognitive assessment practices in Latin American countries.

Role of brain-derived neurotrophic factor in frailty: From mechanisms to interventions

Frailty is a common medical syndrome which largely increases the risk of disability, depression, falls, hospitalization and mortality. An increasing number of research suggests that frailty is reversible by medical interventions at its early stage. Therefore, efficient detection is utterly important for frail population. Since numerous biological processes have been indicated in frail population, the critical regulators in these biological processes could provide biomarkers for early detection or treatment for frailty. The brain-derived neurotrophic factor (BDNF) has been associated with several biological process ranging from cognitive function to inflammation, therefore it could be an important regulator for frailty. In this review, we would discuss the mechanism association between different indicators of frailty and BDNF. Furthermore, we summarize the approaches to interfere with BDNF in healthy and pathologic condition, which could lead to identification of potential interventional strategies for frailty.

Comparisons of four cognitive-frailty measures in predicting dementia and disability

BACKGROUND

Several cognitive-frailty (CF) measurements, such as traditional CF, the CF phenotype, physio-cognitive decline syndrome (PCDS), and motoric cognitive risk syndrome (MCRS) have been developed but their predictive abilities for incident dementia and incident disability are seldom compared. We conducted a 2-year prospective study to compare the associations of traditional CF, the CF phenotype, PCDS, and MCRS with incident dementia and incident disability.

METHODS

In total, 755 individuals aged 65 years or older, without preexisting dementia or disability, participated in the baseline assessment and were subsequently monitored over a 2-year period. Data on cognitive and frailty components of traditional CF, the CF phenotype, PCDS, and MCRS, were collected. The logistic regression model was used to investigate independent associations of each CF measure with incident dementia and incident disability.

RESULTS

In total, 505 participants completed the two annual follow-ups. After adjusting for other CF measures, age, and sex, incident dementia was significantly associated with PCDS (odds ratio [OR] = 2.54; 95% confidence interval [CI], 1.25 ~ 5.19) but was not significantly associated with traditional CF, the CF phenotype, or MCRS, and incident disability was significantly associated with the CF phenotype (OR = 2.90; 95% CI, 1.59 ~ 5.30) but was not significantly associated with traditional CF, PCDS, or MCRS. After adjusting for other CF measures, age, sex, educational level, and other variables, incident dementia was not independently associated with any CF measure, while the association of incident disability with the CF phenotype remained significant (OR = 2.72; 95% CI, 1.45 ~ 5.11).

CONCLUSIONS

The CF phenotype, MCRS, and PCDS can possibly identify a higher number of CF cases than can the traditional CF measure. While the CF phenotype was a significant predictor of incident disability, all four CF measures lacked an independent association with incident dementia over a 2-year period. Future studies with a longer study period are needed to validate our results.

Presumed periodontitis and multimorbidity patterns: a prospective cohort study in the UK Biobank

OBJECTIVES

To examine the pattern of multimorbidity among people with high risk of periodontitis.

MATERIALS AND METHODS

Over 358,000 UK Biobank participants aged 40-69 years at baseline who took part in the baseline assessment and answered mouth/teeth dental problems were included (2006-2010). Cox proportional hazard models and logistic regression models were used to estimate the association of the risk factors of periodontitis with chronic diseases and multimorbidity, stratified by follow-up time.

RESULTS

A total of 154,985 participants developed multimorbidity during follow-up. We observed increased risk of multimorbidity among participants with presumed periodontitis (adjusted HR = 1.06, 95% confidence interval [CI] = 1.05-1.08), especially in those participants with age < 50 years old (adjusted HR = 1.11, 95% CI = 1.08-1.14). Among the different multimorbidity patterns, presumed periodontitis was mainly associated with the mental disorder pattern and metabolic and vascular disease pattern.

CONCLUSIONS

Presumed periodontitis was positively associated with multimorbidity, even more so in younger age. We need to pay more attention to the prevention of periodontitis in the early stage to reduce the burden of multimorbidity in the future.

CLINICAL RELEVANCE

Early life interventions to prevent periodontitis are crucial to reduce the incidence of multimorbidity and enhance the quality of life in older adults. Additionally, greater attention should be given to the mental and cardiovascular metabolic health of patients with periodontitis.

Preoperative Cognitive Optimization and Postoperative Cognitive Outcomes: A Narrative Review

Background

Perioperative neurocognitive disorder (PND) is a growing concern and affects millions of older adult surgical patients each year in the United States. However, the effective prevention of PND has yet to be established. Recently, preoperative brain exercise has been suggested to decrease postoperative delirium incidence in older patients. This review aims to interpret existing preoperative cognitive optimization research, determine if the research supports preoperative cognitive optimization, and identify gaps in the knowledge of the older surgical population.

Methods

A literature search was performed in Pub Med (1995-2024) using the keywords (Older Surgical Patients, Presurgical Assessment, Cognitive Optimization, Neurocognitive Disorder, Postoperative Cognitive Impairment, Postoperative Delirium, Dementia, Frailty Syndrome, Prehabilitation, and Brain Plasticity). The type of literature included clinical trials, case series, cohort studies, and reviews. Among these articles, I included the one in which full text is available in Pub Med and is identified that specifically investigates cognitive function in older adults.

Results and Conclusion

Evidence of the effect of preoperative cognitive optimization on postoperative cognitive functions in older adult surgical patients is still limited. Postoperative delirium was reduced by preoperative cognitive training. A limited number of clinical studies suggest the beneficial effect of preoperative cognitive training, but others show no effects. Further studies are needed on the cognitive training dosage, duration, and platform type. Studies are also required in presurgical patients with preexisting cognitive impairment or dementia.

Effects of exercise interventions on cognition, physical function and quality of life among older adults with cognitive frailty: A systematic review and meta-analysis

OBJECTIVES

To explore the effects of exercise interventions on cognition, physical function, and quality of life among older adults with cognitive frailty.

METHODS

A systematic review and meta-analysis were conducted (PROSPERO [CRD42024532608]). PubMed, Web of Science, Cochrane Library, Embase, CNKI, WanFang, VIP, and SinoMed databases were searched from inception until December 18, 2023.

RESULTS

We found exercise improved overall cognition, physical frailty, walking ability, gait speed, and so on among older adults with cognitive frailty, but the effect on physical fitness and quality of life was insignificant. Subgroup analysis revealed exercise conducted ≥3 times per week, each session lasting ≤45 min and cycle≤12 weeks, had better-improved cognition. Traditional mind-body exercises like Baduanjin were more effective than resistance training for enhancing cognition.

CONCLUSIONS

Exercise intervention benefits overall cognition and most physical functions, but its impact on physical fitness and quality of life remains to be confirmed by future studies.

Impact of Physical and Cognitive Frailty on Long-Term Mortality in Older Patients undergoing Elective Non-cardiac Surgery

BACKGROUND

Older adults undergoing surgery frequently have multiple comorbidities and reduced physical and cognitive reserves. This study aims to assess the effect of physical and cognitive frailty on long-term mortality in older patients undergoing elective non-cardiac surgery in a tertiary center.

METHODS

Patients aged ≥65 years old admitted to surgical wards at the University of Malaya Medical Centre were recruited. Physical frailty and cognitive status were assessed using the Fried Frailty Index (FFI) and the Montreal Cognitive Assessment, respectively. Patients were stratified into six groups based on their frailty and cognitive status: Group 1, normal cognition and non-frail (reference group); Group 2, normal cognition and frail; Group 3, mild cognitive impairment (MCI) and non-frail; Group 4, MCI and frail; Group 5, dementia and non-frail; and Group 6, dementia and frail.

RESULTS

A total of 406 patients with a mean FFI score of 1.1±1.2 were recruited. Predictors of mortality include male sex (hazard ratio [HR]=1.96; 95% confidence interval [CI], 1.14-3.37; p=0.015), presence of active malignancy (HR=3.86; 95% CI, 2.14-6.95; p<0.001), and high FFI scores (1.8±1.2 vs. 1.0±1.1; p=0.013). Compared to Group 1, long-term mortality risk was significantly increased in Group 4 (HR=3.17; 95% CI, 1.36-7.38) and Group 6 (HR=3.91; 95% CI, 1.62-9.43) patients.

CONCLUSION

The combination of physical frailty and cognitive impairment was associated with long-term mortality risk among older patients who underwent elective non-cardiac surgery. This highlights the importance of assessing physical frailty and cognitive function of all older surgical patients to guide targeted intervention, especially for those with impairments which may be potentially reversible.

Body composition differences in older adults with and without Alzheimer's disease: A systematic review and meta-analysis of observational studies

BACKGROUND

Research on body composition and fat distribution in Alzheimer's disease (AD) has presented conflicting findings.

OBJECTIVE

Compare body composition and anthropometric measurements in older adults with and without AD.

METHODS

A systematic review and meta-analysis were conducted following Cochrane guidelines and PRISMA standards. MEDLINE, Embase, Scopus, LILACS, WPRIM, and the Spanish Bibliographic Index of Health Sciences were searched up to September 2024, considering observational studies that compared body composition between AD groups and controls. Outcomes included body fat percentage, body mass index (BMI), impedance, resistance, and reactance. The methodological quality and level of evidence were assessed using the Joanna Briggs Institute scale and GRADE, respectively. A random-effects meta-analysis model was used to calculate mean differences (MD).

RESULTS

Fourteen studies involving 2761 older adults were included. Older adult women with AD showed a lower body fat percentage (p < 0.01; MD = -5.07) and BMI (p = 0.05; MD = -1.28) compared to controls. Older adult men with AD had higher impedance (p = 0.01; MD = 2.05), resistance (p = 0.02; MD = 45.10), and lower reactance (p = 0.03; MD = -2.05) compared to controls. No significant differences in body fat percentage or BMI were found between older adults with and without AD, regardless of gender.

CONCLUSIONS

Women with AD showed lower body fat percentage and BMI, while men with AD had higher impedance, resistance, and lower reactance. These factors should be included in geriatric assessments for AD patients, though further research is needed to understand their link to cognitive outcomes in AD.

Association of Cognitive Frailty With Subsequent All-Cause Mortality Among Middle-Aged and Older Adults in 17 Countries

OBJECTIVES

Cognitive frailty refers to the co-occurrence of cognitive impairment and frailty without concurrent Alzheimer's disease or dementia. Studies of cognitive frailty and mortality have been limited to single country or older people. However, frailty and cognitive decline may occur much earlier. We aimed to examine the association between different cognitive frailty status and subsequent all-cause mortality among middle-aged and older people in 17 countries.

METHODS

Participants aged 50 and over were drawn from six prospective cohorts of aging. We classified participants according to their cognitive impairment and frailty status into the following groups: none, only cognitive impairment, only frailty and cognitive frailty. Competing-risks regression models were used to evaluate the association of different cognitive frailty status at baseline with subsequent all-cause mortality.

RESULTS

The cognitive frailty group had a higher mortality risk compared to those without cognitive impairment and frailty groups. Meta-analysis results showed participants with cognitive frailty (pooled subhazard ratio [SHR] = 2.34, 95% confidence interval [CI]: 2.01-2.72, I2 = 68.0%) had a higher mortality risk compared with those with only cognitive impairment status (pooled SHR = 1.36, 95% CI: 1.25-1.48, I2 = 3.0%) or only frailty status (pooled SHR = 1.83, 95% CI: 1.72-1.95, I2 = 31.0%). The association between cognitive frailty and mortality were stronger among those who were aged 70 years and older, males, single and nonconsumers of alcohol.

CONCLUSIONS

Cognitive frailty, frailty or cognitive impairment alone, is associated with an increased risk of all-cause mortality in Asian, European and American countries. Physical and cognitive function screening should be conducted as early as possible in middle-aged and older people, and targeted intervention approaches should be developed to reduce the incidence of adverse health outcomes.

Effects of Virtual Reality-Based Activities of Daily Living Rehabilitation Training in Older Adults With Cognitive Frailty and Activities of Daily Living Impairments: A Randomized Controlled Trial

OBJECTIVES

Cognitive frailty, which is notably prevalent in nursing homes, correlates with a range of adverse health outcomes; however, interventions targeting this population are scarce, particularly those addressing activities of daily living (ADLs). The objective of this study was to evaluate the effects of virtual reality-based ADL rehabilitation training on older adults with cognitive frailty and ADL impairments.

DESIGN

A 2-arm randomized controlled trial.

SETTING AND PARTICIPANTS

Older adults with cognitive frailty and mild ADL impairments in a nursing home.

METHODS

Sixty-six eligible participants were equally randomized into intervention and control groups. The intervention involved 45-minute sessions conducted twice weekly for 12 weeks. Outcomes evaluated included ADL performance, cognition, frailty, depression, and quality of life. Assessments were performed at baseline, 6 weeks (T1), and 12 weeks (T2).

RESULTS

There was no statistically significant difference between the 2 groups at baseline. The mean age of the participants was 80.20 ± 9.14 years, and most were women (54.55%). Compared with the control group, the intervention group showed significant improvements in ADLs (T1: β = 6.33, T2: β = 12.79), basic ADLs (T1: β = 4.09, T2: β = 6.97), instrumental ADLs (T1: β = 2.24, T2: β = 4.12), cognition (T1: β = 3.67, T2: β = 4.42), frailty (T1: β = -0.76, T2: β = -1.27), and mental component summary of quality of life (T1: β = 8.49, T2: β = 16.44) at T1 and T2. By T2, significant improvements were observed in depression (T2: β = -2.06) and physical component summary of quality of life (T2: β = 8.52).

CONCLUSIONS AND IMPLICATIONS

For older adults with cognitive frailty and mild ADL impairments residing in a nursing home, the virtual reality-based ADL rehabilitation program was safe and effective. Following the 12-week intervention, significant improvements were observed in ADL performance, cognition, frailty, depression, and quality of life.

Development and validation of a nomogram for predicting cognitive frailty in patients on maintenance haemodialysis

AIMS

This study aimed to construct a nomogram for predicting the risk of cognitive frailty in patients on maintenance haemodialysis.

DESIGN

An explorative cross-sectional design was adopted.

METHODS

From April 2022 to July 2022, 496 participants were recruited from five haemodialysis centres in Qingdao, Shandong Province, China. Participants with cognitive frailty were screened by Frailty Phenotype scale and Mini-Mental State Examination. Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression were utilized to determine predictors. The predictive performance of the nomogram was validated by calibration and discrimination. Decision curve analysis was used to assess clinical utility. Internal validation was implemented using 1000 bootstrap samples to mitigate overfitting.

RESULTS

The prevalence of cognitive frailty was 17.5% (n = 87). Six risk predictors, namely health empowerment, alexithymia, age, educational level, marital status and dialysis vintage, were screened and used to develop a nomogram model. The nomogram had satisfactory discrimination and calibration, and decision curve analysis revealed considerable clinical utility.

CONCLUSIONS

A nomogram incorporated with the six risk predictors was developed, and it exhibited excellent prediction performance. The nomogram may strengthen the effective screening of patients at high risk of cognitive frailty.

IMPACT

This study established a tool for healthcare staff to predict cognitive frailty probability and identify risk factors in patients on maintenance haemodialysis. The nomogram can meet the needs of personalized care and precision medicine simultaneously.

PATIENT OR PUBLIC CONTRIBUTION

Data were collected from patients on maintenance haemodialysis by using questionnaire survey.

REPORTING METHOD

STROBE checklist was used.

Comparison of 3 Aging Metrics in Dual Declines to Capture All-Cause Dementia and Mortality Risk: Cohort Study

Background

The utility of aging metrics that incorporate cognitive and physical function is not fully understood.

Objective

We aim to compare the predictive capacities of 3 distinct aging metrics-motoric cognitive risk syndrome (MCR), physio-cognitive decline syndrome (PCDS), and cognitive frailty (CF)-for incident dementia and all-cause mortality among community-dwelling older adults.

Methods

We used longitudinal data from waves 10-15 of the Health and Retirement Study. Cox proportional hazards regression analysis was employed to evaluate the effects of MCR, PCDS, and CF on incident all-cause dementia and mortality, controlling for socioeconomic and lifestyle factors, as well as medical comorbidities. Discrimination analysis was conducted to assess and compare the predictive accuracy of the 3 aging metrics.

Results

A total of 2367 older individuals aged 65 years and older, with no baseline prevalence of dementia or disability, were ultimately included. The prevalence rates of MCR, PCDS, and CF were 5.4%, 6.3%, and 1.3%, respectively. Over a decade-long follow-up period, 341 cases of dementia and 573 deaths were recorded. All 3 metrics were predictive of incident all-cause dementia and mortality when adjusting for multiple confounders, with variations in the strength of their associations (incident dementia: MCR odds ratio [OR] 1.90, 95% CI 1.30-2.78; CF 5.06, 95% CI 2.87-8.92; PCDS 3.35, 95% CI 2.44-4.58; mortality: MCR 1.60, 95% CI 1.17-2.19; CF 3.26, 95% CI 1.99-5.33; and PCDS 1.58, 95% CI 1.17-2.13). The C-index indicated that PCDS and MCR had the highest discriminatory accuracy for all-cause dementia and mortality, respectively.

Conclusions

Despite the inherent differences among the aging metrics that integrate cognitive and physical functions, they consistently identified risks of dementia and mortality. This underscores the importance of implementing targeted preventive strategies and intervention programs based on these metrics to enhance the overall quality of life and reduce premature deaths in aging populations.

Cognitive Frailty and Aging: Clinical Characteristics, Pathophysiological Mechanisms, and Potential Prevention Strategies

Frailty has been conceptualized not only as a physical disease, but also as a multidomain entity that encompasses a multimorbid status, disability, cognitive impairment, psychosocial risk factors, and even geriatric syndromes. In addition to physical ailments and depending on the diagnostic model. Standardized neuropsychological tests can identify cognitive deficiencies along with mild cognitive impairment, a pre-dementia stage characterized by memory and/or other cognitive domain impairments with relatively preserved instrumental activities of daily living. Hence, the possibility of cognitive frailty (CF), a construct that refers to physical frailty in concurrence with non-dementia cognitive decline, is proposed. The estimated prevalence of CF ranges from 10.3 to 42.8%. It is likely that the pathway to overt cognitive impairment, which does not yet involve physical function, begins with the asymptomatic early accumulation of progressive brain damage. Thus, timely detection strategies that target the initial phases of CF are warranted. The pathophysiological components of CF include dysregulation of the hypothalamic-pituitary axis stress response, imbalance in energy metabolism, impaired cardiovascular function, mitochondrial deterioration, and vascular age-related arterial stiffness. Changes that contribute to this disease can also occur at the cellular level, including overexpression of the renin-angiotensin-aldosterone system, activation of proinflammatory pathways, endothelial dysfunction, reduced nitric oxide production, and increased oxidative stress. Non-pharmacological interventions, that range from dietary and nutritional counseling to psychosocial therapy, are currently the main approaches. Both cognitive and physical training programs are considered to be the best researched and most useful multidomain interventions. Clinicians recognize CF as a valid concept that warrants prevention and treatment strategies supported by current research.

Effects of nurse-led cognitive-motor dual-task training based on mobile health technology on the older adults with cognitive frailty: A quasi-experimental study

OBJECTIVE

To evaluate the feasibility and effect of nurse-led cognitive-motor dual-task training based on mobile health technology in people with cognitive frailty and investigate its potential for transforming practice in this population.

METHODS

From September 2021 to May 2022, a total of 74 older adults with cognitive frailty were screened at a Cognitive Memory Clinic of a tertiary hospital in Beijing. The control and intervention groups received health education related to cognitive frailty; additionally the intervention group received cognitive-motor dual-task training based on mobile health technology at home for 12 weeks, three times a week. At baseline (T0), post-intervention (T1) and one-year follow-up (T2), Montreal Cognitive Assessment-Peking version (MoCA-P), Fried Frailty phenotype (FP), Short Physical Performance Battery (SPPB), and Modified Fall Efficacy Scale (MFES) were employed to evaluate cognitive function, frailty, physical function, and fear of falling, and to assess the impact of cognitive-motor dual-task training on these measures.

RESULTS

The data collected for 65 out of 74 participants enrolled for the study was completed after 12 weeks intervention, including 34 participants in the control group and 31 participants in the intervention group. During the intervention, the majority (83.8 %) of the participants in the intervention group were able to complete the recommended intervention dose for 12 weeks under the guidance of nurses and the presence of caregivers. At the end of the 12-week intervention, the intervention group showed statistically significant improvements compared to the control in scores of MoCA-P (t=4.017, p<0.001), FP (t=3.739, p<0.001), MFES (t=4.283, p<0.001) and SPPB (t=3.548, p<0.001). At after one-year follow-up, the scores of MoCA-P (t=3.237, p<0.05), FP(t=3.725, p<0.001), and MFES (t=4.473, p<0.001) in the two groups remained statistically significant. Cognition, frailty and fear of falling were significantly affected by intergroup effects (Pgroup<0.05), time effects (Ptime<0.05) and interaction effects (Pgroup*time<0.001).

CONCLUSIONS

The cognitive-motor dual-task training program based on mobile health technology developed by nurses exhibited high feasibility and acceptability in older people with cognitive frailty. The intervention was found to significantly improve cognitive function, frailty, physical function, and fear of falling in older individuals with cognitive frailty, and showed a specific long-term maintenance effect. This study provides evidence for the promotion and application of mobile health technology, and serves as a practical basis for home health intervention for older individuals in the post-pandemic era.

Prognostic models and factors identifying end-of-life in non-cancer chronic diseases: a systematic review

BACKGROUND

Precise prognostic information, if available, is very helpful for guiding treatment decisions and resource allocation in patients with non-cancer non-communicable chronic diseases (NCDs). This study aimed to systematically review the existing evidence, examining prognostic models and factors for identifying end-of-life non-cancer NCD patients.

METHODS

Electronic databases, including Medline, Embase, CINAHL, Cochrane Library, PsychINFO and other sources, were searched from the inception of these databases up until June 2023. Studies published in English with findings mentioning prognostic models or factors related to identifying end-of-life in non-cancer NCD patients were included. The quality of studies was assessed using the Quality in Prognosis Studies tool.

RESULTS

The analysis included data from 41 studies, with 16 focusing on chronic obstructive pulmonary diseases (COPD), 10 on dementia, 6 on heart failure and 9 on mixed NCDs. Traditional statistical modelling was predominantly used for the identified prognostic models. Common predictors in COPD models included dyspnoea, forced expiratory volume in 1 s, functional status, exacerbation history and body mass index. Models for dementia and heart failure frequently included comorbidity, age, gender, blood tests and nutritional status. Similarly, mixed NCD models commonly included functional status, age, dyspnoea, the presence of skin pressure ulcers, oral intake and level of consciousness. The identified prognostic models exhibited varying predictive accuracy, with the majority demonstrating weak to moderate discriminatory performance (area under the curve: 0.5-0.8). Additionally, most of these models lacked independent external validation, and only a few underwent internal validation.

CONCLUSION

Our review summarised the most relevant predictors for identifying end-of-life in non-cancer NCDs. However, the predictive accuracy of identified models was generally inconsistent and low, and lacked external validation. Although efforts to improve these prognostic models should continue, clinicians should recognise the possibility that disease heterogeneity may limit the utility of these models for individual prognostication; they may be more useful for population level health planning.

Whole-Body and Segmental Phase Angles and Cognitive Function in the Older Korean Population: Cross-Sectional Analysis

Background

Recently, the phase angle (PhA) has emerged as an essential indicator of cellular health. Most studies have examined its association with physiological conditions, such as sarcopenia, frailty, and physical function, in older populations. Simultaneously, growing attention is being paid to the clinical relevance of segmental PhAs for future applications. However, few studies have explored the relationship between PhAs, especially segmental PhAs, and the psychological aspects of health, particularly cognitive function.

Objective

We aimed to investigate the association between whole-body and segmental PhAs and cognitive function in older adults.

Methods

Individuals aged 65 years and above were recruited from adult community groups residing in Busan, South Korea, through the 2022 Bus-based Screening and Assessment Network (BUSAN) study of Pusan National University Hospital. Participants' whole-body and segmental PhAs were measured using a bioelectrical impedance analyzer (BWA 2.0 Body Water Analyzer, InBody), and cognitive functions (overall and subdomains, including memory, orientation, attention and calculation, and language) were self-reported using the Korean version of the Mini-Mental State Examination. Multiple linear regression analyses were performed to examine these associations.

Results

This study included 625 older adults aged 65-96 years (women: n=444, 71%; men: n=191, 29%). A positive association was observed between whole-body PhA and cognitive function (b=0.62, 95% CI 0.16-1.08; P<.01). We observed significant positive associations between the PhA of the lower limbs (b=0.72, 95% CI 0.38-1.06; P<.001) and cognitive function. Analysis of the Mini-Mental State Examination subdomains revealed that whole-body PhA was significantly related to memory (b=0.11, 95% CI 0.00-0.22; P=.04); the PhA of the upper limbs was significantly related to orientation (b=0.29, 95% CI 0.09-0.49; P=.01); and the PhA of the lower limbs was significantly related to orientation (b=0.24, 95% CI 0.10-0.38; P<.001), attention and calculation (b=0.21, 95% CI 0.06-0.37; P=.01), memory (b=0.14, 95% CI 0.05-0.22; P=.001), and language functions (b=0.07, 95% CI 0.01-0.12; P=.01). However, trunk PhA showed no significant association.

Conclusions

Our findings bolster the emerging evidence of a significant positive correlation between whole-body PhA and cognitive function in our sample, with nuanced relationships observed across different segmental PhAs and cognitive subdomains. Therefore, this study revealed that PhAs could be a useful tool for screening or preventing cognitive decline in the general older population, offering substantial evidence for future interventional studies. Further research should delve into the mechanisms and assess targeted interventions that enhance regional physical function to support cognitive health in older adults. Further long-term investigation on these associations is warranted.

The Effect of the Mediterranean Diet-Integrated Gamified Home-Based Cognitive-Nutritional (GAHOCON) Training Programme for Older People With Cognitive Frailty: Pilot Randomized Controlled Trial

BACKGROUND

Cognitive frailty is known to be associated with both nutrition and cognitive training. However, effective treatments that engage older adults with cognitive frailty in both the Mediterranean diet and cognitive training are lacking.

OBJECTIVE

This study aims to examine the feasibility and preliminary effects of Gamified Home-Based Cognitive-Nutritional (GAHOCON) on older adults with cognitive frailty, focusing on Mediterranean diet knowledge, adherence to the Mediterranean diet, cognitive function, physical frailty, grip strength, walking speed, memory, and body composition.

METHODS

This study applied a 2-center, assessor-blinded, 2-parallel-group, noninferiority, randomized controlled trial design. Eligible participants were community-dwelling adults aged 60 years or older, living with cognitive frailty, and exhibiting poor adherence to the Mediterranean diet. Participants were randomly assigned to the intervention or control group in a 1:1 ratio. In the intervention group, participants received 4 weeks of center-based training (health education) followed by 8 weeks of home-based training (GAHOCON). In the control group, participants received only the 4 weeks of center-based training and 8 weeks of self-revision of health educational materials at home. During the intervention period, time spent by the participants and the levels of difficulty completed by them weekly on GAHOCON were measured as markers of feasibility. The outcomes included Mediterranean diet knowledge, adherence to the Mediterranean diet, cognitive function, physical frailty, grip strength, walking speed, memory, and body composition. Data were collected at baseline (T0) and 1 week postintervention (T1). The Wilcoxon signed rank test was used to examine within-group effects for the outcome variables in each group separately.

RESULTS

A total of 25 participants were recruited, with 13 allocated to the intervention group and 12 to the control group. The median cumulative minutes spent on GAHOCON training increased from 117 to 926 minutes. The median level of difficulty completed for game 1 increased from level 14 to level 20, while for game 2, it increased from level 2 to level 24. After the completion of the interventions, Mediterranean diet knowledge was retained in the intervention group but significantly decreased in the control group (r=-0.606, P=.04). Significant improvements were observed in the intervention group in Mediterranean diet adherence (r=-0.728, P=.009), cognitive function (r=-0.752, P=.007), physical frailty (r=-0.668, P=.02), and walking speed (r=-0.587, P=.03), but no such improvements were seen in the control group.

CONCLUSIONS

GAHOCON is feasible in engaging older adults with cognitive frailty to regularly participate in the intervention. Preliminary evidence suggests that it can retain Mediterranean diet knowledge following nutritional education, improve adherence to the Mediterranean diet, and enhance global cognitive function, physical frailty, and walking speed. However, the difficulty of the later levels of game 1 may be too high. Future studies should adjust the difficulty level of game 1. Additionally, trials with larger sample sizes and longer follow-up periods are needed to confirm its effects.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05207930; https://clinicaltrials.gov/ct2/show/NCT05207930.

Prevalence and influencing factors of cognitive frailty among Chinese older adults: A systematic review and meta-analysis

AIMS

Cognitive frailty refers to the coexistence of physical frailty and cognitive impairment in older adults, without a concurrent diagnosis of Alzheimer's disease or other dementias. This review aims to evaluate the prevalence of CF subtypes and identify influencing factors among Chinese older adults.

METHODS

The following databases were searched: PubMed/Medline, Embase, Cochrane Library, WOS, PsycINFO and CNKI et al (1 January 2001 to 20 October 2022). The risk of bias was assessed using the Agency for Healthcare Research and Quality Evidence-based Practice Center Methods Guide. Stata 17.0 software was used to pool the prevalence of cognitive frailty, and the pooled odds ratio and 95% CI of the influencing factors were calculated.

RESULTS

The meta-analysis (56 studies and 80,320 participants) revealed the following prevalence rates: CF (18.9%), reversible CF (19.5%), potentially reversible CF (17.5%), CF in community-dwelling older adults (14.3%), CF in nursing homes (22.7%) and CF in older inpatients (25.2%). Influential factors identified included age, gender, education, nutrition, depression, exercise, sleep and comorbidity.

CONCLUSIONS

The prevalence of CF among Chinese older adults is notably high, and it probably underestimates the prevalence of reversible cognitive frailty. It is crucial to encourage adherence to healthy behaviours, as it can effectively reduce and delay the onset of cognitive frailty.

Prediction models for cognitive frailty in community-dwelling older adults: A scoping review

OBJECTIVES

This review investigates the current status of cognitive frailty risk prediction models for community-dwelling older adults, aiming to explore the shortcomings and provide insights for model optimisation.

METHODS

We adhered to the PRISMA guidelines for scoping review and followed the Joanna Briggs Institute Manual for Evidence Synthesis.

RESULTS

This article includes a total of 10 studies, revealing a prevalence of cognitive frailty ranging from 4.8 % to 39.6 %. The methods used for model construction included both logistic regression and machine learning. The predictors varied across the models, with age, education level, gender, and physical activity level being the most frequently cited factors.

CONCLUSIONS

While most models showed good applicability, all models displayed a high risk of bias. Future endeavors should concentrate on leveraging existing tools to ensure standardization in development and conducting rigorous evaluations of prediction models for cognitive frailty in community-dwelling older adults.

Association of preoperative cognitive frailty with postoperative complications in older patients under general anesthesia: a prospective cohort study

BACKGROUND

Cognitive frailty (CF) is characterized by the coexistence of physical frailty and cognitive impairment, and it is associated with adverse health outcomes. Older adults are particularly vulnerable to CF due to factors such as age-related brain changes and the presence of comorbidities.

OBJECTIVE

To investigate the effect of preoperative CF on postoperative complications in older patients.

METHODS

This prospective cohort study was conducted among 253 patients aged 60-85 years, who underwent elective orthopedic and abdominal surgery (with a postoperative hospital stay of ≥ 3 days) at the Second Affiliated Hospital of Guangzhou University of Chinese Medicine from May 2023 to November 2023. CF was assessed using the Montreal Cognitive Assessment (MoCA) for the cognitive status and the Fried criteria for five frailty scales. Participants were split into four groups: Group A (neither frailty nor cognitive impairment), Group B (frailty without cognitive impairment), Group C (cognitive impairment without frailty), and Group D (cognitive frailty). The primary outcome was postoperative complications, while secondary outcomes included mobility disability, prolonged hospital stay (PLOS), re-operation and 90-day readmission.

RESULTS

The median age (interquartile range) of participants was 69 (65-73) years, of which 40.3% were male. The prevalence of CF was 17.8%. The incidence of postoperative complications was 18.2% in Group A, 50.0% in Group B, 37.4% in Group C, and 75.6% in Group D. Multivariate analysis revealed that, compared to the control group (without cognitive impairment or frailty), patients with CF had a significantly higher risk of postoperative complications (OR, 12.86; 95%CI, 4.23-39.08). "Patients with frailty without cognitive impairment" had an increased risk (OR, 6.53; 95%CI, 2.04-20.9), while "those with cognitive impairment without frailty" also showed a higher risk (OR, 3.46; 95%CI, 1.57-7.64).

CONCLUSIONS

Cognitive frailty is significantly associated with an increased risk of postoperative adverse outcomes in older patients undergoing orthopedic and abdominal surgeries with general anesthesia. It indicates that clinicians should pay much attention to these older adults with CF.

Effects of Virtual Reality Motor-Cognitive Training for Older People With Cognitive Frailty: Multicentered Randomized Controlled Trial

BACKGROUND

Cognitive frailty refers to a clinical syndrome in which physical frailty and mild cognitive impairment coexist. Motor-cognitive training and virtual reality (VR) have been used to launch various therapeutic modalities to promote health in older people. The literature advocates that motor-cognitive training and VR are effective in promoting the cognitive and physical function of older people. However, the effects on older people with cognitive frailty are unclear.

OBJECTIVE

This study examined the effects of VR motor-cognitive training (VRMCT) on global cognitive function, physical frailty, walking speed, visual short-term memory, inhibition of cognitive interference, and executive function in older people with cognitive frailty.

METHODS

This study used a multicentered, assessor-blinded, 2-parallel-group randomized controlled trial design. Participants were recruited face-to-face in 8 older adult community centers. Eligible participants were aged ≥60 years, were community dwelling, lived with cognitive frailty, had no dementia, and were not mobility restricted. In the intervention group, participants received VRMCT led by interventionists with 16 one-hour training sessions delivered twice per week for 8 weeks. In the control group, participants received the usual care provided by the older adult community centers that the investigators did not interfere with. The primary outcome was global cognitive function. The secondary outcomes included physical frailty, walking speed, verbal short-term memory, inhibition of cognitive interference, and executive function. Data were collected at baseline (T0) and the week after the intervention (T1). Generalized estimating equations were used to examine the group, time, and interaction (time × group) effects on the outcomes.

RESULTS

In total, 293 eligible participants enrolled in the study. The mean age of the participants was 74.5 (SD 6.8) years. Most participants were female (229/293, 78.2%), had completed primary education (152/293, 52.1%), were married (167/293, 57.2%), lived with friends (127/293, 43.3%), and had no VR experience (232/293, 79.5%). In the intervention group, 81.6% (119/146) of participants attended >80% (13/16, 81%) of the total number of sessions. A negligible number of participants experienced VR sickness symptoms (1/146, 0.7% to 5/146, 3%). VRMCT was effective in promoting global cognitive function (interaction effect: P=.03), marginally promoting executive function (interaction effect: P=.07), and reducing frailty (interaction effect: P=.03). The effects were not statistically significant on other outcomes.

CONCLUSIONS

VRMCT is effective in promoting cognitive functions and reducing physical frailty and is well tolerated and accepted by older people with cognitive frailty, as evidenced by its high attendance rate and negligible VR sickness symptoms. Further studies should examine the efficacy of the intervention components (eg, VR vs non-VR or dual task vs single task) on health outcomes, the effect of using technology on intervention adherence, and the long-term effects of the intervention on older people with cognitive frailty at the level of daily living.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04730817; https://clinicaltrials.gov/study/NCT04730817.

Definition and assessment of psychological frailty in older adults: A scoping review

OBJECTIVES

The confusion surrounding psychological frailty and its components prompts the need for a standardized conceptual definition. To address this, we aimed to (1) identify the psychological variables included in multicomponent frailty assessment instruments used with older adults and examine their operationalization; and (2) formulate a thorough conceptualization of psychological frailty based on the variables identified.

METHODS

This study followed the most recent recommendations for conducting scoping reviews and is reported in accordance with PRISMA-ScR guidelines. We systematically searched the CINAHL, MEDLINE, PsycInfo, Scopus, and Web of Science databases, with additional searches in Google Scholar and reference lists.

RESULTS

Sixteen instruments were identified. The results suggested that: (1) In multicomponent frailty assessment instruments, psychological variables are poorly represented; (2) A wide variety of psychological variables are included in the instruments, the most frequent being cognitive functioning and affective functioning (e.g., depressive symptoms, emotional loneliness, anxiety symptoms, poor coping, and suicidal ideation); and (3) The way in which variables are referred to and operationalized varies across instruments.

CONCLUSIONS

Including both cognitive and affective variables in psychological frailty assessments may lead to inaccuracies. We suggest distinguishing between two separate dimensions within psychological frailty: cognitive frailty and affective frailty. A conceptual definition for each dimension is provided. This proposal aims to advance the debate regarding the conceptualization and assessment of psychological frailty, with further research and discussion needed to ensure its practical applicability.

Prevalence and Risk Factors of Cognitive Frailty in Patients Undergoing Maintenance Hemodialysis: A Systematic Review and Meta-Analysis

BACKGROUND

The purpose of this study is to investigate the prevalence and risk factor of cognitive frailty in patients undergoing maintenance hemodialysis.

METHODS

Systematically searched PubMed, EmBase, Web of Science, Cochrane Library, SinoMed, China Knowledge Resource Integrated Database, Wanfang Database, and Weipu Database from inception until January 1, 2024. Two researchers were independently screened and cross-checked. Stata 15.1 software was used to perform the meta-analysis.

RESULTS

A total of 15 articles were included, including 5398 patients. The results showed that the prevalence of cognitive frailty in patients undergoing maintenance hemodialysis was 24%. Among them, age (odds ratio [OR] = 1.33, 95% CI [1.16, 1.53]), waist circumference (OR = 1.05, 95% CI [1.03, 1.08]), malnutrition (OR = 2.91, 95% CI [1.94, 4.35]), comorbidities (OR = 1.93, 95% CI [1.47, 2.54]), stroke history (OR = 2.94, 95% CI [1.72, 5.03]), and depression (OR = 3.26, 95% CI [1.91, 5.57]) were the main risk factors for cognitive frailty in patients undergoing maintenance hemodialysis. Education level (OR = 0.48, 95% CI [0.31, 0.73]) was protective factors for cognitive frailty in patients undergoing maintenance hemodialysis.

CONCLUSIONS

Current evidence showed that the prevalence of cognitive frailty in patients undergoing maintenance hemodialysis was high, and there were many risk factors. Therefore, early identification and intervention of cognitive frailty in maintenance hemodialysis patients should be carried out, which may be helpful to reduce the prevalence rate and occurrence of adverse events and improve the prognosis of patients.

TEGEST as promising tool for assessing the risk of perioperative neurocognitive disorders

BACKGROUND

Perioperative neurocognitive disorders are often neglected and undiagnosed. There are known risk factors for these disorders (e.g., higher levels of frailty, cognitive decline before surgery). However, these factors are usually not assessed in the daily clinical setting. One of the main reasons for this lack of examination is the absence of a suitable cognitive function test that can be used in acute clinical settings. The primary aim of this study was to determine correlations between preoperative and postoperative scores on three cognitive tests (the Mini Mental State Exam (MMSE), the Clock Drawing Test (CDT) and the Test of Gestures (TEGEST).

METHODS

This was a prospective, monocentric, observational study that included one cohort of patients aged 65 years and older. Patients underwent acute or elective surgical operations. Preanaesthesia tests were administered. After the operation, the patients completed the same tests between the 2nd postoperative day and discharge. Preoperative and postoperative cognitive test scores were assessed.

RESULTS

This study included 164 patients. The arithmetic mean age was 74.5 years. The strongest correlations were observed between MMSE scores and TEGEST scores (r = 0.830 before and 0.786 after surgery, P < 0.001). To compare the MMSE and the TEGEST, the MMSE was divided into 2 categories-normal and impaired-and good agreement was found among 76.2% of the participants (ϰ = 0.515). If the TEGEST scoring system was changed so that scores of 4-6 indicated normal cognition and scores of 0-3 indicated cognitive impairment, the level of agreement would be 90.8%, ϰ = 0.817. Only 5.5% of the patients had impaired MMSE scores and normal TEGEST scores, whereas 3.7% of the respondents normal MMSE scores and impaired TEGEST scores.

CONCLUSION

According to our results, the TEGEST is a suitable option for assessing cognitive functioning before surgery among patients who are at risk of developing perioperative neurocognitive disorders. This study revealed that it is necessary to change the rating scale for the TEGEST so that scores of 4-6 indicate normal cognition and scores of 0-3 indicate cognitive impairment. In clinical practice, the use of the TEGEST may help to identify patients at risk of perioperative neurocognitive disorders.

Exploring the Role of Social Factors in Cognitive Frailty among South Korean Older Adults

Cognitive frailty, which is characterized by the co-occurrence of physical frailty and cognitive impairment, poses significant risks to the well-being and independence of elderly individuals. Previous research has established that demographic, health-related, and social factors contribute to both physical frailty and cognitive decline. However, the role of social factors in influencing cognitive frailty remains unclear. This study aims to identify the relationship between social factors and cognitive frailty among Korean older adults living in the community. We performed secondary analyses of data from the 2020 Survey on Older Adults. After entering demographic factors and health-related factors into the logistic model as covariates, this study explored the association between cognitive frailty and social factors, including living arrangements, social support, the frequency of engagement in social activities per week, and satisfaction with friends and community. Among participants, approximately 2.9% had cognitive frailty, 3.2% had only physical frailty, and 21.9% had only cognitive decline. Lower levels of satisfaction with friends and the community and infrequent participation in social activities were strongly correlated with cognitive frailty. These findings emphasize the necessity of public health programs that encourage older individuals' social involvement. A supportive social environment can be fostered through initiatives that promote community events, group activities, and volunteerism. Public health policies should prioritize the development and maintenance of social activity centers that offer various programs to prevent progression to cognitive frailty in older adults.

Prevalence and Outcomes of Cognitive Frailty Among Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis

PURPOSE

To systematically review the available evidence regarding the prevalence and outcomes of cognitive frailty-a clinical syndrome characterized by the combination of physical frailty and cognitive impairment, without dementia-in community-dwelling older adults.

METHOD

The following databases were searched: PubMed, Web of Science, Embase, EBSCO, Cochrane Central Register of Controlled Trials, ProQuest, CNKI, Wanfang, VIP, and CBMdisc (inception to October 2, 2023).

RESULTS

Twenty-four studies were included (N = 62,169) reporting a median prevalence of cognitive frailty among community-dwelling older adults of 12.2%. Frailty with cognitive impairment was independently associated with increased all-cause mortality (adjusted 8-year hazard ratio [HR] = 2.6, 95% confidence interval [CI] [2.05, 3.30]). There was evidence of increased risk of 3-year mortality for frailty (adjusted HR = 1.92, 95% CI [1.26, 2.93]) and prefrailty (adjusted HR = 1.79, 95% CI [1.33, 2.41]) with cognitive impairment. There was also evidence of increased risk of dementia for frailty (adjusted 24-month HR = 6.19, 95% CI [2.74, 13.99]; adjusted 4-year HR = 4.98, 95% CI [2.17, 11.41]) and prefrailty (adjusted 4-year HR = 5.21, 95% CI [2.95, 9.20]; adjusted 5-year HR = 14.5, 95% CI [1.68, 125.1]) with cognitive impairment. Activities of daily living (ADL) dependence was more frequent in individuals with cognitive impairment and frailty (adjusted 4-year odds ratio = 5.6, 95% CI [2.13, 14.72]).

CONCLUSION

Of community-dwelling older adults, 12.2% have cognitive frailty as well as increased risk of all-cause mortality, dementia, and ADL dependence. Further studies on prevention and treatment of cognitive frailty is warranted. Health care providers should formulate specific interventions to decrease the impact of cognitive frailty. [Research in Gerontological Nursing, 17(4), 202-212.].

Prevalence of cognitive frailty and its associated factors in a population of Iranian older adults

BACKGROUND

In recent years cognitive frailty has emerged as an important predictor of adverse health outcomes in older adults. Herein, we aimed to investigate the prevalence and associated factors of cognitive frailty in a population of community-dwelling older adults in Iran.

METHOD

This cross-sectional study was conducted as part of the second cycle of the Amirkola Health and Aging Project (AHAP). Physical frailty and cognitive impairment were evaluated using the FRAIL questionnaire and the mini-mental state examination (MMSE) respectively. Cognitive frailty was defined as co-existence of frailty and cognitive impairment without presence of dementia. Depression and disability were assessed using the Persian version of geriatric depression scale (GDS) and instrumental activities of daily living (IADL) questionnaire.

RESULTS

Overall 1775 individuals (47.1% female) with mean age of 69.7 ± 7.3 years were included in the final analysis. The prevalence of cognitive frailty was 12.0%. The prevalence of cognitive frailty among males and females was 4.3% and 20.7%, respectively. After adjusting for all possible confounders through binary logistic regression analysis, factors such as older age (OR 1.06, CI 1.03-1.09), female gender (OR 2.25, CI 1.42-3.57), illiteracy (OR 3.84, CI 2.03-8.29), more comorbidities (OR 1.21, CI 1.12-1.31), depression (OR 2.01, CI 1.40-2.86), and greater IADL disability (OR 1.68, CI 1.44-3.96), were independently and significantly associated with cognitive frailty.

CONCLUSION

In this population of Iranian older adults, prevalence of cognitive frailty was consistent with its estimated mean global prevalence. Age, gender, illiteracy, comorbidities, depression and IADL disability were associated with cognitive frailty. Further research is required to develop screening tools and prevention strategies.

The Relationship Between Social Isolation and Cognitive Frailty Among Community-Dwelling Older Adults: The Mediating Role of Depressive Symptoms

Purpose

Social isolation and depression have an impact on cognitive frailty. However, the underlying mechanisms between these variables have not been well defined. This study aims to investigate the mediating role of depressive symptoms in the association between social isolation and cognitive frailty among older adults in China.

Methods

From Mar 2023 to Aug 2023, a cross-sectional study was conducted with 496 community-dwelling older adults aged ≥60 years in Nanjing, Jiangsu Province, China. Demographic information was collected using the General Information Questionnaire. The Lubben Social Network Scale-6 (LSNS-6), Geriatric Depression Scale 15-item (GDS-15), Montreal Cognitive Assessment (MoCA), Clinical Dementia Rating (CDR), and FRAIL scale were used for the questionnaire survey. Multiple linear regression and binary logistic regression were utilized to explore the associations among social isolation, depressive symptoms, and cognitive frailty, and Bootstrap analysis was used to explore the mediating role of depressive symptoms in social isolation and cognitive frailty.

Results

Linear regression results revealed that social isolation was positively associated with depressive symptoms (β = 0.873, p < 0.001). Logistic regression analysis showed that social isolation (OR = 1.769, 95% CI = 1.018~3.075) and depressive symptoms (OR = 1.227, 95% CI = 1.108~1.357) were significantly associated with cognitive frailty. Mediation analysis demonstrated that depressive symptoms significantly mediated the relationship between social isolation and cognitive frailty, with an indirect effect of 0.027 (95% CI = 0.003~0.051), and the mediating effect accounted for 23.6% of the total effect.

Conclusion

Social isolation is associated with cognitive frailty in community-dwelling older adults, and depressive symptoms partially mediate the effect between social isolation and cognitive frailty. Active promotion of social integration among older individuals is recommended to enhance their mental health, reduce the incidence of cognitive frailty, and foster active aging.

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.

The Prevalence of Cognitive Frailty and Its Association with Sleep duration and Depression Among Older Adults with Heart Failure

OBJECTIVES

The prevalence of cognitive frailty and its associated factors in older population with heart failure have not been extensively studied. We investigated the prevalence of cognitive frailty and its association with sleep duration and depression among older adults with heart failure.

METHODS

This secondary analysis used a cross-sectional sample with 168 older adults with heart failure from an academic tertiary care hospital in South Korea.

RESULTS

Cognitive frailty was found in 58 (34.5%) older adults with heart failure. Our main finding revealed that longer sleep durations of ≥ 8 h (adjusted odds ratio (OR) = 2.62, 95% confidence interval (CI) = 1.04-6.59) and depression (adjusted OR = 2.84, 95% CI = 1.22-6.61) predicted an increased risk of cognitive frailty.

CONCLUSIONS

Early detection on changes in sleep patterns and depression can play a crucial role in reducing the risk of cognitive frailty in patients with heart failure. Longitudinal studies are needed to explore that sleep patterns and depression are both linked to greater risk of developing cognitive frailty among older adults with heart failure.

CLINICAL IMPLICATIONS

Development of a validated instrument for cognitive frailty screening may be beneficial for older adults with heart failure to prevent adverse outcomes.

Modifiable risk factors of cognitive frailty in community-dwelling older adults: A systematic review and meta-analysis

PURPOSE

To perform a meta-analysis identifying the modifiable risk factors of cognitive frailty in the elderly.

METHODS

We systematically searched databases including PubMed, EMBASE, China National Knowledge Infrastructure, China Science and Technology Journal Database, Wanfang Data Knowledge Service Platform from January 01, 2017 to March 26, 2022. Quantitative, original research reporting associated factors were included.

FINDINGS

7,854 records in total were identified, of which 14 articles (1 prospective, 13 cross-sectional) with 36 factors were included. Studies on cognitive frailty included 20,390 community-dwellers (≥60 years) from three countries. Meta-analysis indicated that depression [OR = 3.60, 95%CI (2.25,5.78), p < 0.01] and sleep problems [OR = 2.36, 95%CI (1.62,3.43), p < 0.01] were associated with cognitive frailty.

CONCLUSIONS

Effective interventions targeting depression and sleep problems may lower the risk of cognitive frailty in the community seniors but need further study in high-quality, prospective studies.

IMPLICATIONS FOR NURSING PRACTICE

Building on previous work, the objectives of this systematic review and meta-analysis were to explore potential modifiable risk factors for cognitive frailty in community-dwelling older adults, which is expected to throw light on the prevention of cognitive frailty.

Defining and assessing psychological frailty in older adults: a scoping review protocol

INTRODUCTION

Frailty is widely acknowledged as a multidimensional construct encompassing physical, psychological and social aspects. However, the lack of consensus in defining and operationalising psychological frailty challenges the holistic approach to frailty advocated by health professionals. Consequently, there is a need to develop a comprehensive definition of psychological frailty based on contributions made by experts in the field, primarily existing frailty assessment tools. This scoping review will aim to identify the key psychological variables that are considered in frailty assessment tools used with older adults as well as to analyse how these psychological variables have been operationalised.

METHODS AND ANALYSIS

The study will be conducted in accordance with recommendations from several methodological frameworks for scoping reviews and will be reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews statement guidelines. A systematic literature search will be performed in the CINAHL, MEDLINE, PsycInfo, Scopus and Web of Science databases, supplemented by a search in Google Scholar and reference lists. The focus will be on studies that describe the development of multicomponent frailty assessment tools including at least one psychological variable. Study selection and data extraction will be independently conducted by three reviewers working in pairs. Data will be presented in tabular form, and the data will be analysed using qualitative content analysis.

ETHICS AND DISSEMINATION

This study does not require ethical approval since it is based on secondary data analysis. The findings of the review will be disseminated through publication in a peer-reviewed scientific journal and will be presented at conferences and seminars.

TRIAL REGISTRATION NUMBER

The scoping review was registered in Open Science Framework on 29 March 2022 (https://osf.io/bn24y).

Mapping the landscape: A bibliometric analysis of information and communication technology adoption by older adults with cognitive frailty or impairment

The adoption of information and communication technology (ICT) by older adults with cognitive frailty and impairment is beneficial to support aging in place and promote healthy aging. However, data are scarce regarding the use of ICT by this demographic in comparison with other age groups. This bibliometric analysis was aimed at systematically mapping the literature on ICT-related research on older adults with cognitive frailty and cognitive impairment to provide insights into research trends, patterns and knowledge gaps. Data were extracted from the Web of Science database, which identified 324 publications between 1980 and 2023. Performance analysis and science mapping were carried out using Microsoft® Excel, VOSViewer and Harzing's Publish or Perish. The analysis showed an upsurge in the research output trend over time. Notable journals, authors, citations, nations and research areas have been documented. Four key clusters were identified, including: (i) caregiver concern, support and involvement; (ii) technology as a tool for cognitive training and cognitive rehabilitation; (iii) cognitive improvement; and (iv) the use of technology for prevention and self-management. The findings derived from this analysis provide an appropriate reference for future researchers to bridge the gap in ICT-related studies among this population, and distinguish the relevant articles that are required for further investigation. These include the need for further long-term research, the incorporation of ICT-based approaches to counter cognitive frailty and the importance of multidomain telehealth interventions. Geriatr Gerontol Int 2024; 24: 251-262.

Independent Association between Cognitive Frailty and Cardio-Ankle Vascular Index in Community-Dwelling Older Adults

INTRODUCTION

Although arterial stiffness has been suggested to be associated with poor physical function and mild cognitive impairment (MCI), its association with cognitive frailty (CF), a comorbidity of both, is unclear. This study aims to examine the association between CF and arterial stiffness in community-dwelling older adults.

METHODS

A cross-sectional analysis of 511 community-dwelling older adults aged 65 years or older (mean age 73.6 ± 6.2 years, 63.6% women), who participated in a community cohort study (Tarumizu Study, 2019), was conducted. Poor physical function was defined as either slowness (walking speed <1.0 m/s) or weakness (grip strength <28 kg for men and <18 kg for women). MCI was defined by the National Center for Geriatrics and Gerontology Functional Assessment Tool as a decline of at least 1.5 standard deviation from age- and education-adjusted baseline values in any one of the four cognitive domains (memory, attention, executive, and information processing). CF was defined as the combination of poor physical function and MCI. Arterial stiffness was measured using the Cardio-Ankle Vascular Index (CAVI), and the average of the left and right sides (mean CAVI) was used.

RESULTS

Multinomial logistic regression analysis adjusted for covariates was performed with the four groups of robust, poor physical function, MCI, and CF as dependent variables and mean CAVI as an independent variable. Using the robust group as reference, the poor physical function and MCI groups showed no significant relationship with the mean CAVI. The mean CAVI was significantly higher in the CF group (odds ratio 1.62, 95% confidence interval: 1.14-2.29).

CONCLUSION

A significant association was found between CF and the higher CAVI (progression of arterial stiffness). Careful observation and control of CAVI, which is also an indicator of arterial stiffness, may be a potential target for preventive interventions for CF.

To Be Frail or Not to Be Frail: This Is the Question-A Critical Narrative Review of Frailty

Many factors have contributed to rendering frailty an emerging, relevant, and very popular concept. First, many pandemics that have affected humanity in history, including COVID-19, most recently, have had more severe effects on frail people compared to non-frail ones. Second, the increase in human life expectancy observed in many developed countries, including Italy has led to a rise in the percentage of the older population that is more likely to be frail, which is why frailty is much a more common concern among geriatricians compared to other the various health-care professionals. Third, the stratification of people according to the occurrence and the degree of frailty allows healthcare decision makers to adequately plan for the allocation of available human professional and economic resources. Since frailty is considered to be fully preventable, there are relevant consequences in terms of potential benefits both in terms of the clinical outcome and healthcare costs. Frailty is becoming a popular, pervasive, and almost omnipresent concept in many different contexts, including clinical medicine, physical health, lifestyle behavior, mental health, health policy, and socio-economic planning sciences. The emergence of the new "science of frailty" has been recently acknowledged. However, there is still debate on the exact definition of frailty, the pathogenic mechanisms involved, the most appropriate method to assess frailty, and consequently, who should be considered frail. This narrative review aims to analyze frailty from many different aspects and points of view, with a special focus on the proposed pathogenic mechanisms, the various factors that have been considered in the assessment of frailty, and the emerging role of biomarkers in the early recognition of frailty, particularly on the role of mitochondria. According to the extensive literature on this topic, it is clear that frailty is a very complex syndrome, involving many different domains and affecting multiple physiological systems. Therefore, its management should be directed towards a comprehensive and multifaceted holistic approach and a personalized intervention strategy to slow down its progression or even to completely reverse the course of this condition.

Comprehensive, continuous, and compulsory monitoring of frailty in elderly

BACKGROUND

The increasing elderly population makes frailty an increasing concern in society with vulnerability to stress and functional decline. Unrecognised comorbidities are common among the elderly due to lack of mention by the patients. Physicians should be equipped with effective interviewing skills along with the use of screening tools to assess any impairments in activities of daily living, cognition and signs of depression.

OBJECTIVES

To measure the degree of independence or dependence using scales and stratify patients based on Clinical Frailty Scale (CFS) so as to recommend it as a routinely usable tool.

MATERIALS AND METHODS

In total, 191 elderly subjects above the age of 65 years were recruited for geriatric assessment. Tools that assess performance in daily living activities and cognition were used. The prevalidated CFS was used to score frailty to stratify patients into frail and non-frail groups, and the parameters were compared.

RESULTS

Mean age of the study population was 69.54 years with 53.4% males and 46.6% females. Mean Katz index and mean Lawton score were >5. The mean Global Deterioration Scale (GDS) score was 1.5, and the mean clinical frailty score was 3.55. Significantly high number of male individuals were found in the frailty group. Hypertension was significantly higher in the frail group. The mean Katz scores were significantly lower, and mean GDS scores were significantly higher in the frailty group. Multivariable logistic regression has shown gender to be an important determinant of frailty with an odds ratio of 0.05 (CI-0.01-0.20). The higher Lawton score and GDS scores were significantly associated with frailty with an odds ratio of 0.33 (CI: 0.21-0.52) and 2.62 (CI: 1.14-6.02), respectively.

CONCLUSION

Men are more frail than women and co-morbidities like hypertension and coronary artery disease contribute to frailty with cognitive decline and decreased autonomy. A comprehensive assessment to identify frailty will provide a holistic view of well being among the elderly.

Bidirectional Relationship Between Circadian Rhythm and Frailty

Coupled with the ageing population, frailty, characterized by high prevalence and difficult treatment, has progressively evolved into a significant public health concern. Frail individuals can often observe serious metabolic disorders and sleep-wake cycle disruption, which may be caused by the decline in physiological reserve and increased vulnerability. Moreover, sleep-wake cycle disruptions and metabolic dysfunctions associated with circadian rhythm disorders are considered to be a central part of the disorder. Previous studies have documented a correlation between frailty and sleep-wake disruptions; nevertheless, the association between circadian rhythm disorders and frailty has not yet been definitively established. Hence, we hypothesize a bidirectional link between circadian rhythm disorders and frailty, with each condition exerting a significant influence on the progression of the other's disease trajectory.

Cognitive frailty in older adults with diabetes: prevalence and risk factors

In older adults living with diabetes, there is a higher prevalence of frailty and a greater risk of cognitive impairment. Cognitive frailty is defined by the presence of both and is associated with an increased risk of mortality. A systematic review was undertaken to estimate the prevalence of cognitive frailty in community-dwelling older adults living with diabetes and associated risk factors. This commentary critically appraises the review and explores the implications of the findings for community practice.

Relationship Between Cognitive Frailty and Mortality in Older Adults: A Systematic Review and Meta-Analysis

OBJECTIVE

To synthesize the pooled mortality risk estimate and determine whether cognitive frailty is a predictor of mortality.

DESIGN

A systematic review and meta-analysis.

SETTING AND PARTICIPANTS

The participants were community-dwelling older adults aged ≥60 years.

METHODS

PubMed, Web of Science, Embase, CINAHL, and the Cochrane Library databases were systematically searched. Two researchers independently screened potentially eligible literature, evaluated the quality of the included studies, and then extracted the data. We used STATA, version 15.0 to perform the all data.

RESULTS

Nineteen studies were included. The association between cognitive frailty and a higher risk of death was statistically significant [hazard ratio (HR), 2.01; 95% CI, 1.84-2.19; P < .001]. The outcomes indicated that cognitive frailty was a critical risk factor for predicting mortality (OR, 4.82; 95% CI, 1.59-14.57; P < .01). Based on different models of cognitive frailty, the results of subgroup analyses revealed that the risk of mortality was the highest in the Frail + mild cognitive impairment group (HR, 2.35; 95% CI, 2.05-2.70; P < .001). The subgroup analyses by region demonstrated that mortality risk was lowest in the European group (HR, 1.63; 95% CI, 1.4-1.87; P < .001).

CONCLUSIONS AND IMPLICATIONS

This study quantitatively portrays the pooled mortality risk estimate of cognitive frailty. The results suggest that in older adults, cognitive frailty can be a predictor of mortality. The findings could alert health care providers to pay more attention to cognitive frailty.

Risk Factors and Prediction Nomogram of Cognitive Frailty with Diabetes in the Elderly

Purpose

Diabetes is a well-recognized risk factor for cognitive frailty. This study aimed to investigate the influencing factors of cognitive frailty in elderly patients with diabetes and develop a nomogram for its assessment.

Methods

We collected the clinical data of diabetic patients aged 60 years or older and the patients were divided into training and validation cohorts at a ratio of 7:3. In the training cohort, logistic regression was used to screen out the influencing factors of cognitive frailty in elderly diabetic patients, and a risk prediction model and nomogram were constructed and verified in the validation cohort. The performance of the model was evaluated using various measures, including the area under the receiver operating characteristic curve, calibration curve, Hosmer-Lemeshow test and decision curve analysis.

Results

A total of 315 elderly diabetic patients were included, of which 87 (27.6%) patients had cognitive frailty. Age, albumin levels, calf circumference, duration of diabetes, intellectual activity, and depressive state were identified as independent risk factors for cognitive frailty in older patients with diabetes (P < 0.05). The training cohort and validation cohort demonstrated area under curve (AUC) values of 0.866 and 0.821, respectively.

Conclusion

Older patients with diabetes have a higher prevalence of cognitive frailty. The nomogram model exhibited satisfactory calibration and identification, providing a reliable tool for assessing the risk of cognitive frailty in individuals with diabetes.

Development and validation of a nomogram-assisted tool to predict potentially reversible cognitive frailty in Chinese community-living older adults

BACKGROUND

Cognitive frailty (CF) is a complex and heterogeneous clinical syndrome that indicates the onset of neurodegenerative processes and poor prognosis. In order to prevent the occurrence and development of CF in real world, we intended to develop and validate a simple and timely diagnostic instrument based on comprehensive geriatric assessment that will identify patients with potentially reversible CF (PRCF).

METHODS

750 community-dwelling individuals aged over 60 years were randomly allocated to either a training or validation set at a 4:1 ratio. We used the operator regression model offering the least absolute data dimension shrinkage and feature selection among candidate predictors. PRCF was defined as the presence of physical pre-frailty, frailty, and mild cognitive impairment (MCI) occurring simultaneously. Multivariate logistic regression was conducted to build a diagnostic tool to present data as a nomogram. The performance of the tool was assessed with respect to its calibration, discrimination, and clinical usefulness.

RESULTS

PRCF was observed in 326 patients (43%). Predictors in the tool were educational background, coronary heart disease, handgrip strength, gait speed, instrumental activity of daily living (IADL) disability, subjective cognitive decline (SCD) and five-times-sit-to-stand test. The diagnostic nomogram-assisted tool exhibited good calibration and discrimination with a C-index of 0.805 and a higher C-index of 0.845 in internal validation. The calibration plots demonstrated strong agreement in both the training and validation sets, while decision curve analysis confirmed the nomogram's efficacy in clinical practice.

CONCLUSIONS

This tool can effectively identify older adults at high risk for PRCF, enabling physicians to make informed clinical decisions and implement proper patient-centered individual interventions.

Relationship between Mild Cognitive Impairment, Pre-Frailty, Physical and Psychological Functioning, and Functional Capacity among Community-Dwelling Older Adults

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.

Frailty: the perioperative and anesthesia challenges of an emerging pandemic

Frailty is a complex and multisystem biological process characterized by reductions in physiological reserve. It is an increasingly common phenomena in the surgical population, and significantly impacts postoperative recovery. In this review, we will discuss the pathophysiology of frailty, as well as preoperative, intraoperative, and postoperative considerations for frailty care. We will also discuss the different models of postoperative care, including enhanced recovery pathways, as well as elective critical care admission. With discoveries of new effective interventions, and advances in healthcare information technology, optimized pathways could be developed to provide the best care possible that meets the challenges of perioperative frailty.

Malnutrition, Depression, Poor Sleep Quality, and Difficulty Falling Asleep at Night Are Associated with a Higher Risk of Cognitive Frailty in Older Adults during the COVID-19 Restrictions

The COVID-19 restrictions, such as social isolation and disruption of daily routines, can have detrimental effects, including increased stress, anxiety, sleep disturbance, and physical and cognitive decline among older adults. This study aimed to examine the association between nutritional status, depression, sleep quality, falling asleep at night, and cognitive frailty (CF) among older Thai adults during the COVID-19 pandemic. This cross-sectional study included 408 older adults with an average age of 70.54 (5.49) years. CF was determined using Fried's frailty phenotype and the Montreal Cognitive Assessment Basic. The Mini Nutritional Assessment-Short Form, Pittsburgh Sleep Quality Index, and geriatric depression assessment were used for assessment. Multiple logistic regression analysis demonstrated that participants who were malnourished (OR 3.786; 95%CI 1.719-8.335), depressed (OR 5.003; 95%CI 2.399-10.434), had poor sleep quality (OR 1.613; 95%CI 1.041-2.500), and engaged in difficulty falling asleep (OR 1.809; 95%CI 1.022-3.203) had a higher risk of CF compared to those who did not exhibit these factors. Therefore, malnutrition, depression, poor sleep quality, and difficulty falling asleep were identified as risk factors for CF among older adults in Thailand linked to the impact of the COVID-19 pandemic. It is crucial to develop interventions to prevent CF resulting from the mentioned variables.

Depressive and Biopsychosocial Frailty Phenotypes: Impact on Late-life Cognitive Disorders

 In older age, frailty is a detrimental transitional status of the aging process featuring an increased susceptibility to stressors defined by a clinical reduction of homoeostatic reserves. Multidimensional frailty phenotypes have been associated with all-cause dementia, mild cognitive impairment (MCI), Alzheimer's disease (AD), AD neuropathology, vascular dementia, and non-AD dementias. In the present article, we reviewed current evidence on the existing links among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders, also examining common pathways and mechanisms underlying these links. The depressive frailty phenotype suggested by the construct of late-life depression (LLD) plus physical frailty is poorly operationalized. The biopsychosocial frailty phenotype, with its coexistent biological/physical and psychosocial dimensions, defines a biological aging status and includes motivational, emotional, and socioeconomic domains. Shared biological pathways/substrates among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders are hypothesized to be inflammatory and cardiometabolic processes, together with multimorbidity, loneliness, mitochondrial dysfunction, dopaminergic neurotransmission, specific personality traits, lack of subjective/objective social support, and neuroendocrine dysregulation. The cognitive frailty phenotype, combining frailty and cognitive impairment, may be a risk factor for LLD and vice versa, and a construct of depressive frailty linking physical frailty and LLD may be a good dementia predictor. Frailty assessment may enable clinicians to better target the pharmacological and psychological treatment of LLD. Given the epidemiological links of biopsychosocial frailty with dementia and MCI, multidomain interventions might contribute to delay the onset of late-life cognitive disorders and other adverse health-related outcomes, such as institutionalization, more frequent hospitalization, disability, and mortality.

Frailty in Kingdom of Saudi Arabia-Prevalence and Management, Where Are We?

A recent report from the United Nations state that the percentage of elderly individuals in the Kingdom of Saudi Arabia (KSA) will witness a sharp increase in the next three decades (5.6% in 2017 to 23% by 2050). This situation will lead to an increased prevalence of comorbidities and hence, will require close monitoring and constant care of such individuals who are prone to suffer from complications such as arthritis, cardiovascular disorders, diabetes, neurological disorders, etc. Frailty is one such age-related phenomenon which enhances the risk of falling, functional restrictions and greater vulnerability to adverse consequences, which tend to lead to institutionalization. Such factors highlight the importance of the urgent awareness for circumventing the progression of frailty toward a compromised health status. This concise report is an attempt to sum up the relevant research articles published with regard to frailty and concomitant diseases in the last 5 years. It also sums up the research on frailty in the KSA elderly population, till date. This article reflects the opinions of an author on tackling such issues through a well-directed mechanism involving interdisciplinary transitional care and geriatric co-management.

Risk Factors of Progression to Cognitive Frailty: Singapore Longitudinal Ageing Study 2

INTRODUCTION

Cognitive frailty is associated with higher risk of dementia and adverse health outcomes. However, multidimensional factors that influence cognitive frailty transitions are not known. We aimed to investigate risk factors of incident cognitive frailty.

METHODS

Prospective cohort study participants were community-dwelling adults without dementia and other degenerative disorders and baseline and follow-up, including N = 1,054 participants aged ≥55 free of cognitive frailty at baseline, with complete baseline (March 6, 2009, to June 11, 2013) and follow-up data at 3-5 years later (January 16, 2013, to August 24, 2018). Incident cognitive frailty was defined by one or more criteria of the physical frailty phenotype and <26 of Mini-Mental State Examination (MMSE) score. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological and social factors, and biochemical markers. Data were analyzed using least absolute shrinkage selection operator (LASSO) multivariable logistic regression models.

RESULTS

A total of 51 (4.8%) participants, including 21 (3.5%) of the cognitively normal and physically robust participants, 20 (4.7%) of the prefrail/frail only, and 10 (45.4%) of cognitively impaired only, transited to cognitive frailty at follow-up. Risk factors for transition to cognitive frailty were having eye problem (OR = 2.6, 95% CI 1.24-5.43) and low HDL cholesterol (OR = 4.1, 95% CI 2.03-8.40), while protective factors for cognitive frailty transition were higher levels of education (OR = 0.3, 95% CI 0.10-0.74) and participation in cognitive stimulating activities (OR = 0.4, 95% CI 0.17-0.82).

CONCLUSION

Multi-domain modifiable factors especially related to leisure activities predict cognitive frailty transition and may be targeted for prevention of dementia and associated adverse health outcomes.

Relationships between physical, cognitive, and social frailty and locomotive and non-locomotive physical activity of moderate to vigorous intensity

[Purpose] The purpose of this study was to examine the relationships between physical, cognitive, and social frailty and locomotive and non-locomotive physical activity of moderate to vigorous intensity in community-dwelling older adults and to explore effective intervention methods for preventing frailty. [Participants and Methods] Participants were 82 community-dwelling Japanese older males and females. Measurement items included basic information (age, gender, height, weight, body mass index, and the number of underlying diseases), physical activity, and assessment of physical, cognitive, and social frailty. Associations of physical, cognitive, and social frailty with physical activity were analyzed by group comparisons and multivariate analyses. [Results] The comparisons of physical activity indices for each frailty type revealed that physical frailty was associated with the number of steps and locomotive physical activity of moderate to vigorous intensity, whereas cognitive frailty and social frailty were not. Two overlapping types of frailty were associated with locomotive physical activity. When adjusted for age and gender, step counts and locomotive physical activity were each associated with physical frailty. [Conclusion] Future interventions to increase step counts and locomotive physical activity of moderate to vigorous intensity may be effective for preventing physical frailty; however, interventions other than simple physical activity need to be considered for the prevention of cognitive and social frailty.