Effects of reversible cognitive frailty on disability, quality of life, depression, and hospitalization: a prospective cohort study

Older people's perception of being frail - a qualitative exploration

BACKGROUND

Frailty is a suggested consequence of ageing, but with a variety of different definitions the understanding of what it means to be frail is challenging. There is a common belief that frailty results in a reduction of physical functioning and ability and therefore is likely to significantly affect a person's quality of life. The aim of this study was to explore the understanding of older people about the meaning of frailty and the potential consequences of being classified as frail.

METHODS

This paper forms a secondary analysis of a process evaluation of a complex intervention that was embedded within the individually randomised Home-based Extended Rehabilitation of Older people (HERO) trial. A maximum variation, purposive sampling strategy sought to recruit participants with a wide range of characteristics. Data collection included observations of the delivery of the intervention, documentary analysis and semi-structured interviews with participants. Thematic analysis was used to make sense of the observational and interview data, adopting both inductive and deductive approaches.

RESULTS

Ninety three HERO trial participants were sampled for the process evaluation with a total of 60 observational home visits and 35 interviews were undertaken. There was a wide range in perceptions about what it meant to be classified as frail with no clear understanding from our participants. However, there was a negative attitude towards frailty with it being considered something that needed to be avoided where possible. Frailty was seen as part of a negative decline that people struggled to associate with. There was discussion about frailty being temporary and that it could be reduced or avoided with sufficient physical exercise and activity.

CONCLUSION

Our study provides insight into how older people perceive and understand the concept of frailty. Frailty is a concept that is difficult for patients to understand, with most associating the term with an extreme degree of physical and cognitive decline. Having a label of being "frail" was deemed to be negative and something to be avoided, suggesting the term needs to be used cautiously.

TRIAL REGISTRATION

ISRCTN 13927531. Registered on April 19, 2017.

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.

Factors affecting cognitive frailty improvement and progression in Taiwanese older adults

BACKGROUND

Knowledge of predictors of cognitive frailty (CF) trajectories is required to develop preventive strategies to delay or reverse the progression from CF to dementia and other adverse outcomes. This 2-year prospective study aimed to investigate factors affecting the progression and improvement of CF in older Taiwanese adults.

METHODS

In total, 832 community-dwelling people aged ≥ 65 years were eligible. Fried's five frailty criteria were used to measure prefrailty and frailty, while cognitive performance was assessed by the Clinical Dementia Rating and Mini-Mental State Examination. Each component of reversible CF and potentially reversible CF was assigned a score, with a total score ranging 0 to 5 points. Two annual follow-up CF assessments were conducted. The group-based trajectory model was applied to identify latent CF trajectory groups, and a multinomial logistic regression was used to examine relationships of explanatory variables with CF trajectories.

RESULTS

According to data on 482 subjects who completed the two annual follow-ups, three CF trajectories of robust, improvement, and progression were identified. After adjusting for the baseline CF state, CF progression was significantly associated with an older age (odds ratio [OR] = 1.08; 95% confidence interval [CI], 1.02 ~ 1.14), a lower Tinetti balance score (OR = 0.72; 95% CI, 0.54 ~ 0.96), a slower gait (OR = 0.98; 95% CI, 0.97 ~ 0.99), and four or more comorbidities (OR = 2.65; 95% CI, 1.19 ~ 5.90), while CF improvement was not significantly associated with any variable except the baseline CF state. In contrast, without adjusting for the baseline CF state, CF progression was significantly associated with an older age, female sex, balance scores, gait velocity, regular exercise, the number of comorbidities, and depression, while CF improvement was significantly associated with female sex, balance scores, and the number of comorbidities.

CONCLUSIONS

The baseline CF state, an older age, poorer balance, slower gait, and a high number of comorbidities may contribute to CF progression, while the baseline CF state may account for associations of engaging in regular exercise and depression with CF development.

Cognitive frailty and its association with depression, anxiety and stress during the COVID-19 pandemic among older adults in the transforming cognitive frailty into later-life self-sufficiency (AGELESS) study

BACKGROUND

Cognitive frailty describes the co-occurrence of cognitive impairment and physical frailty and is classified into reversible and irreversible phenotypes. Data on the impact of COVID-19 pandemic imposed lockdowns, locally known as the Movement Control Order (MCO), on the psychological status of cognitively frail older adults remain scarce. Therefore, this study aimed to determine the relationship between depression, anxiety, stress and cognitive frailty among older adults during the MCO.

METHOD

Participants aged above 60 years from three ageing cohorts in Malaysia were interviewed virtually. The Fatigue, Resistance, Ambulation, Illness and Loss of Weight scale, blind Montreal Cognitive Assessment, 15-item Geriatric Depression Scale, anxiety subscale of Depression, Anxiety and Stress Scale and four-item Perceived Stress Scale measured frailty, mild cognitive impairment (MCI), depression, anxiety and stress, respectively.

RESULTS

Cognitive frailty data were available for 870 participants, age (mean ± SD) = 73.44 ± 6.32 years and 55.6% were women. Fifty-seven (6.6%) were robust, 24 (2.8%) had MCI, 451 (51.8%) were pre-frail, 164 (18.9%) were pre-frail+MCI, 119 (13.7%) were frail and 55 (6.3%) were frail+MCI. There were significant differences in depression and anxiety scores between the controlled MCO and recovery MCO. Using multinomial logistic regression, pre-frail (mean difference (95% confidence interval, CI) = 1.16 (0.932, 1.337), frail (1.49 (1.235, 1.803) and frail+MCI (1.49 (1.225, 1.822)) groups had significantly higher depression scores, frail (1.19 (1.030, 1.373)) and frail+MCI (1.24 (1.065, 1.439)) had significantly higher anxiety scores and pre-frail (1.50 (1.285, 1.761)), frail (1.74 (1.469, 2.062)) and frail+MCI (1.81 (1.508, 2.165)) had significantly higher stress scores upon adjustments for the potential confounders. The MCO was a potential confounder in the relationship between depression and prefrail+MCI (1.08 (0.898, 1.340)).

CONCLUSION

Frail individuals with or without MCI had significantly higher depression, anxiety and stress than those who were robust. Increased depression and stress were also observed in the pre-frail group. Interventions to address psychological issues in older adults during the COVID-19 pandemic could target prefrail and frail individuals and need further evaluation.

Cognitive Function and Depressive Symptoms among Chinese Adults Aged 40 Years and Above: The Mediating Roles of IADL Disability and Life Satisfaction

The purpose of this study was to investigate the relationship between cognitive function and depressive symptoms among Chinese adults aged 40 years and above, as well as the series of multiple mediating effects of Instrument Activities of Daily Living disability and life satisfaction on this relationship. The data was obtained from the China Health and Retirement Longitudinal Study (CHARLS, 2013-2018), including 6466 adults aged 40 years and above. The mean age of the adults was 57.7 ± 8.5. The SPSS PROCESS macro program was conducted to examine the mediating effects. The results indicated that there was a significant association between cognitive function and depressive symptoms five years later (B = -0.1500, 95%CI: -0.1839, -0.1161), which could also be demonstrated through three mediation pathways: (1) the mediating pathway through IADL disability (B = -0.0247, 95%CI: -0.0332, -0.0171); (2) the mediating pathway through life satisfaction (B = 0.0046, 95%CI: 0.0000, 0.0094); and (3) the chain mediation pathway through IADL disability and life satisfaction (B = -0.0012, 95%CI: -0.0020, -0.0003). Both IADL disability and life satisfaction have been proven to be crucial mediators for the relationship between cognitive function and depressive symptoms five years later. It is necessary to improve individuals' cognitive function and reduce the negative impact of disability on them, which is important to enhance their life satisfaction and prevent depressive symptoms.

Association between Cognitive Frailty and Adverse Outcomes among Older Adults: A Meta-Analysis

OBJECTIVES

This systematic review and meta-analysis aimed to pool the effect size of the association between cognitive frailty and adverse outcomes (e.g., falls, disability, and hospitalization) among older adults.

DESIGN

Systematic review and meta-analysis.

METHODS

PubMed, ScienceDirect, and Embase were searched from their respective inceptions to June 1, 2022. We extracted prospective cohort studies that reported the association between cognitive frailty and adverse outcomes. Random or fixed-effects models based on heterogeneity were used to pool the effect sizes of independent associations of cognitive frailty, frailty only, and cognitive impairment only with each adverse outcome.

RESULTS

Fifteen studies involving 49,122 older adults were included in the meta-analysis. Older adults with cognitive frailty had higher odds ratios (OR) for falls (1.82, 95% confidence interval [CI]: 1.29-2.58), disability (3.17, 95%CI: 2.24-4.48), and hospitalization (1.78, 95%CI: 1.48-2.14) compared with those without frailty and cognitive impairment. Older adults with frailty only demonstrated a high risk for falls (pooled OR 1.76, 95%CI: 1.25-2.48), disability (pooled OR 1.82, 95%CI: 1.43-2.33), and hospitalization (pooled OR 1.64, 95% CI: 1.45-1.85). The influence of cognitive impairment only on adverse outcomes was lower compared with cognitive frailty or frailty. Subgroup analyses showed that those with cognitive frailty (defined by the frailty phenotype plus Mini-Mental State Examination) were at greater risk for developing adverse outcomes.

CONCLUSION

Our findings indicate that cognitive frailty is an independent risk factor for adverse outcomes (e.g., falls, disability, and hospitalization). Early screening and comprehensive intervention may improve cognitive frailty and reduce the risk for adverse outcomes among older adults.