The Evolutionary Stage of Cognitive Frailty and Its Changing Characteristics in Old Adults

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.

Change of leisure activity participation and associations with cognitive frailty in older adults: A population-based longitudinal study

OBJECTIVES

To examine changes in leisure activity participation and their associations with cognitive frailty among older adults.

METHODS

The study utilized data from the Chinese Longitudinal Healthy Longevity Survey covering 2008-2018. Three distinct intervals represented short-term (2008-2011), medium-term (2008-2014) and long-term (2008-2018) changes in leisure activity participation, and the change patterns of levels of leisure activities based on the tertile were described. Restricted cubic splines (RCS) were used to determine the inflection point of the absolute value of leisure activity participation over two time points. Group-based trajectory modeling identified trajectories of leisure activity participation among participants from 2008 to 2018. Logistic regression analysis examined how changes in leisure activity participation impacted cognitive frailty.

RESULTS

Five patterns of change in leisure activity participation were identified, including the persistently low group, the declining (medium-low, high-low, high-medium) group, persistently medium, rising (low-medium, low-high, medium-high), and persistently high levels of activity. A lower risk of cognitive frailty was found among three groups of persistently medium, rising, and persistently high levels of activity across three distinct intervals and among the declining group over the short-term and long-term intervals but not in the medium-term interval than among the persistently low group, respectively. RCS analysis showed that the inflection point of the association between absolute changes in leisure activity and cognitive frailty was -2.11 (short-term), -0.9 (medium-term), and -3.94 (long-term). Leisure activity trajectories were categorized into persistently low, persistently moderate, and persistently high groups, and both the persistently moderate and persistently high groups exhibited a lower risk of cognitive frailty compared to the persistently low group.

CONCLUSION

Persistently moderate to high levels and increasing levels of leisure activities can reduce the risk of cognitive frailty in the short, medium, and long term, and even the declining in leisure activity participation less than the threshold could protect against cognitive frailty, particularly in the short and long term.

Body composition, cardiovascular fitness and attention of school-aged male children practicing sports club activities: A cross-sectional

BACKGROUND

The positive effects of physical activity on physical fitness, bone health, academic achievement, cognitive functions, mental health, and reduced obesity have been proven. This study aims to investigate the relationship between sports club activities, physical activity selected health-related fitness, and the d2 attention test.

MATERIALS AND METHODS

A cross-sectional study was conducted in different sports clubs. A total of 78 male students aged 10-13 years participating in various branches of sports clubs were included in the study, 42 of whom were assigned to the sports group and 36 to the control group. Questionnaires were administered to assess sports club participation and attention levels, while physical health profiles were tested with body composition and Yo-Yo IR1C performance measures. Data were analyzed according to sports participation and the five most frequently reported sports. The means and standard deviation of each study value were calculated for the total subjects and by participating in sports activity using the IBM SPSS (version 23) analysis program. Data normality was checked and confirmed by the Skewness and Kurtosis Tests.

RESULTS

The results showed that boys enrolled in a sports activity had lower body mass (-17.9%, P < 0.05 d = 0.72), body mass index (-13.4%, P < 0.05, d = 0.87), and body fat (%) (-54.1%, P < 0.05, d = 1.38) and higher VO2max 32.3% (P < 0.05, d = 3.67), than the non-active group. The boys active in sports clubs also had better results in the total number of items processed (11%, P < 0.05 d = 0.50) and in concentration performance (17.7%, P < 0.05 d = 0.56) than the non-active group. In correlation analyses, VO2max was negatively associated with body mass, body mass index, and body fat (P = 0.011; P = 0.001 and P = 0.00, respectively) and positively related to the total number of items processed and concentration performance (P = 0.003 and P = 0.015, respectively). In the Pearson Correlation analyses, body fat showed a lower negative correlation with TN (r = 0.33; P = 0.003) and CP (r = 0.28; P = 0.015).

CONCLUSIONS

Boys participating in regular sports have lower body mass, BMI, and BF values. In addition, boys who participated in sports showed higher imaginary fitness and selective attention and concentration capacity results, as expected, for any sports part compared to their body peers. Another attempt from this study is that body mass and body fat percentage recovery are negatively associated with fitness. Considering the increasing prevalence of obesity in children and adolescents due to sedentary living, which has become a worldwide epidemic, it is recommended that pedagogical and public health strategies and policies be developed based on the physical fitness level of children.

Association between malnutrition and cognitive frailty in older adults: A systematic review and meta-analysis

BACKGROUND

To systematically assess the association between cognitive frailty (CF) and malnutrition in older adults.

METHODS

8 databases were retrieved up until April 2023 by two reviewers in dependently, and meta-analysis was performed by Stata 16.0 software.

RESULTS

A total of 19 studies were meta-analyzed to assess the relationship between CF and malnutrition in older adults. The pooled prevalence of CF from 17 studies was 23 %, and the pooled prevalence of malnutrition among patients with CF from 12 studies was 57 %. Data from 13 studies on the association between CF and malnutrition unveiled a high risk of CF in older adults with malnutrition (OR = 3.77, 95 % CI: 2.49-5.69).

CONCLUSION

The prevalence of malnutrition is high in older adults with CF, and there is a significant delve into targeted treatment and preventive measures to ameliorate the quality of life of older adults.

Synergistic effects of cognitive frailty and comorbidities on disability: a community-based longitudinal study

OBJECTIVE

In this study, we aimed to assess the synergistic effects of cognitive frailty (CF) and comorbidity on disability among older adults.

METHODS

Out of the 1318 participants from the Malaysian Towards Useful Aging (TUA) study, only 400 were included in the five-year follow-up analysis. A comprehensive interview-based questionnaire covering socio-demographic information, health status, biochemical indices, cognitive and physical function, and psychosocial factors was administered. Binary logistic regression analysis was employed to estimate the independent and combined odd ratios (ORs). Measures such as the relative excess risk due to interaction (RERI), the attributable proportion of risk due to the interaction, and the synergy index were used to assess the interaction between CF and comorbidity.

RESULTS

Participants with CF (24.1%) were more likely to report disability compared to those without CF (10.3%). Synergistic effects impacting disability were observed between CF and osteoarthritis (OA) (OR: 6.675, 95% CI: 1.057-42.158; RERI: 1.501, 95% CI: 1.400-1.570), CF and heart diseases (HD) (OR: 3.480, 95% CI: 1.378-8.786; RERI: 0.875, 95% CI: 0.831-0.919), CF and depressive symptoms (OR: 3.443, 95% CI: 1.065-11.126; RERI: 0.806, 95% CI: 0.753-0.859), and between CF and diabetes mellitus (DM) (OR: 2.904, 95% Confidence Interval (CI): 1.487-5.671; RERI: 0.607, 95% CI: 0.577-0.637).

CONCLUSION

These findings highlight the synergism between the co-existence of CF and comorbidity, including OA, HD, DM, and depressive symptoms, on disability in older adults. Screening, assessing, and managing comorbidities, especially OA, HD, DM and depressive symptoms, when managing older adults with CF are crucial for reducing the risk of or preventing the development of disability.

Effects of cognitive reserve on cognitive frailty among older adults: A population-based prospective cohort study

AIM

We investigated the effect of lifespan cognitive reserve and its components on cognitive frailty among older adults.

METHODS

A total of 4922 participants aged ≥65 years were recruited in 2008 and were followed up in 2011 from the Chinese Longitudinal Healthy Longevity Survey. Cognitive frailty was determined through the simultaneous presence of physical frailty (pre-frailty or frailty) and mild cognitive impairment, excluding concurrent dementia. The assessment of physical frailty and mild cognitive impairment was based on the Fatigue, Resistence, Ambulation, Illness, Loss of weight (FRAIL) (Fatigue, Resistence, Ambulation, Illness, Loss) and Mini-Mental State Examination scale, respectively. The lifespan cognitive reserve consisted of education attainment, occupational complexity and later-life leisure activities. We used logistic regression models to estimate the risk of cognitive frailty associated with the lifespan cognitive reserve and its components.

RESULTS

A higher level of lifespan cognitive reserve, higher educational attainment or leisure activities engagement, but not occupational complexity, were associated with lower risk of incident cognitive frailty. Furthermore, cognitive, social and physical activities were associated with lower risk of incident cognitive frailty.

CONCLUSION

Cognitive reserve, particularly educational attainment and leisure activities, can protect from cognitive frailty. This implicates that individuals should accumulate cognitive reserve in their lifespan, and older adults should actively participate in leisure activities to prevent cognitive frailty. Geriatr Gerontol Int 2024; 24: 398-403.

Functional fitness benchmark values for older adults: a systematic review

Introduction

The use of normative values and/or standards of functional fitness in adults is relevant to overall health and well-being. The objectives of the study were: to identify the physical tests of the senior fitness test (SFT) that have been applied since its proposal and to describe the proposed percentiles according to age, sex and country.

Methods

A systematic review study was conducted in the Pubmed and Scopus databases. As eligibility criteria, we considered the period from 1999 to 2022 that presented data on SFT test used in the population over 60  years of age and that described normative values through percentiles. MeSH were used as: (1) Physical fitness, Exercise test, Senior Fitness Test, Functional fitness, Cardiorespiratory fitness, (2) older adult, aged, (3) Reference standards, standards, standards of care. Boolean operators "AND" and "OR" were included. Data extracted from the selected studies included: year of publication, country, sample age, sample size, sample sex, fitness component.

Results and discussion

Seven studies were identified in five countries (03 in China, 01 in Poland, 01 in Portugal, 01 in Spain and 01 in United States). The age range ranged from 60 to 103  years. The studies were conducted in both sexes. The study with the smallest sample size was by Chung et al. (China) with 944 participants and the largest number of participants was the study by Rikli and Jones in the United States with 7,183 participants. In general, no study was able to complete 100% (8 components) of the tests proposed in the SFT. Normative values were presented through percentile distribution (p10, p50 and p90) organized by age ranges. Males presented better performance in FPF tests than females in all tests. Since the first publication of the SFT until 2022, seven articles have been published in countries such as United States, China (three regional studies), Poland, Portugal and Spain. No study has published the complete battery with its eight components. The percentiles of functional fitness reflect decline with advancing age.

Systematic review registration

PROSPERO (CRD42023441294: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023441294).

Development and validation of a cognitive dysfunction risk prediction model for the abdominal obesity population

Objectives

This study was aimed to develop a nomogram that can accurately predict the likelihood of cognitive dysfunction in individuals with abdominal obesity by utilizing various predictor factors.

Methods

A total of 1490 cases of abdominal obesity were randomly selected from the National Health and Nutrition Examination Survey (NHANES) database for the years 2011-2014. The diagnostic criteria for abdominal obesity were as follows: waist size ≥ 102 cm for men and waist size ≥ 88 cm for women, and cognitive function was assessed by Consortium to Establish a Registry for Alzheimer's Disease (CERAD), Word Learning subtest, Delayed Word Recall Test, Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). The cases were divided into two sets: a training set consisting of 1043 cases (70%) and a validation set consisting of 447 cases (30%). To create the model nomogram, multifactor logistic regression models were constructed based on the selected predictors identified through LASSO regression analysis. The model's performance was assessed using several metrics, including the consistency index (C-index), the area under the receiver operating characteristic (ROC) curve (AUC), calibration curves, and decision curve analysis (DCA) to assess the clinical benefit of the model.

Results

The multivariate logistic regression analysis revealed that age, sex, education level, 24-hour total fat intake, red blood cell folate concentration, depression, and moderate work activity were significant predictors of cognitive dysfunction in individuals with abdominal obesity (p < 0.05). These predictors were incorporated into the nomogram. The C-indices for the training and validation sets were 0.814 (95% CI: 0.875-0.842) and 0.805 (95% CI: 0.758-0.851), respectively. The corresponding AUC values were 0.814 (95% CI: 0.875-0.842) and 0.795 (95% CI: 0.753-0.847). The calibration curves demonstrated a satisfactory level of agreement between the nomogram model and the observed data. The DCA indicated that early intervention for at-risk populations would provide a net benefit, as indicated by the line graph.

Conclusion

Age, sex, education level, 24-hour total fat intake, red blood cell folate concentration, depression, and moderate work activity were identified as predictive factors for cognitive dysfunction in individuals with abdominal obesity. In conclusion, the nomogram model developed in this study can effectively predict the clinical risk of cognitive dysfunction in individuals with abdominal obesity.

Sex differences in cognitive function among Chinese older adults using data from the Chinese longitudinal healthy longevity survey: a cross-sectional study

Objective

To compare the sex differences in cognitive function and its influencing factors among Chinese older adults.

Method

We conducted a cross-sectional study by using data from the China Longitudinal Healthy Longevity Survey (CLHLS). According to the 32 provinces and 4 municipalities directly under the Central Government of China, 3-5 counties or districts were randomly selected in each province or city (except Tibet), and then 1-3 villages or streets were randomly selected in each county or district, from which the target population was sampled. Mini Mental State Examination (MMSE) was used to assess the cognitive function of 9,262 older adults aged 65 and above in China. Descriptive analysis was applied to demonstrate the participants' demographic characteristics, health-related behaviors, social and non-social activity, disease status, mental and sleep condition. And then, univariate and multifactor analyses were performed to validate different risk factors for cognitive function, respectively in the general population, male older adults and female older adults.

Result

The older adults with cognitive impairment accounted for 10.4% of the total population. There are significant differences in cognitive function between male and female older adults. The odds of cognitive impairment in older adult women was 1.291 times that of older adult men (OR = 1.291, 95%CI: 1.084-1.538). Among the male older adults, those who were older, highly educated, spouseless, had depressive symptoms, and lacked social activities were more likely to have cognitive impairment, whereas among the female older adults, those who were older, highly educated, and lacked social activities were more likely to have cognitive impairment.

Conclusion

Overall, there are subtle differences in potential influencing factors for cognitive function between the male older adults and female older adults. Attention should be paid to the different cognitive protection measures for the older adults with different sexes.

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.

Prevalence of cognitive frailty among older adults in China: a systematic review and meta-analysis

OBJECTIVE

This study aimed to investigate the prevalence of cognitive frailty among older adults in China.

DESIGN

Systematic review and meta-analysis.

METHODS

We searched the Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge Infrastructure(CNKI), Wanfang, Chinese Biomedical Literature and Weipu (VIP) databases to collect information on the epidemiology of cognitive frailty among older adults in China. The study period was from the establishment of the database to March 2022. Two researchers independently screened the literature, extracted the data and assessed the risk of bias in the included studies. All statistical analyses were performed using Stata V.15.0.

RESULTS

We screened 522 records, of which 28 met the inclusion criteria. The results of the meta-analysis showed that the prevalence of cognitive frailty among older adults in China was 15%(95%CI (0.13%,0.17%)). The prevalence of cognitive frailty was higher in hospitals and nursing homes than in communities. Moreover, the prevalence of cognitive frailty was higher in women than in men. Furthermore, the prevalence rates of cognitive frailty in North China Hospital, older adults aged≥80 years, and illiterate individuals were 25%, 29%, and 55%, respectively.

CONCLUSIONS

In conclusion, in China, the prevalence of cognitive frailty is higher among older adults, is higher in women than in men, is higher in hospitals and nursing homes than in communities, and is higher in North China than other regions. Moreover, the higher the educational level, the lower the prevalence of cognitive frailty. Multimodal interventions for cognitive frailty, including increased exercise, nutritional support, increased socialisation opportunities and multifactorial strategies, may be effective in preventing cognitive frailty. These findings have important implications for adjusting healthcare and social care systems.

PROSPERO REGISTRATION NUMBER

CRD42023390486.

Perceptions of the benefits of the basic medical insurance system among the insured: a mixed methods research of a northern city in China

Background

The perceptions of the benefits of the basic medical insurance system among the insured not only reflect the system's performance but also the public's basic medical insurance policy literacy, valuable information for countries that have entered the stage of deepening reform. This study aims to examine the factors that affect the perceptions of the benefits of the basic medical insurance system in China, diagnose the key problems, and propose corresponding measures for improvement.

Methods

A mixed method design was used. Data for the quantitative study were obtained from a cross-sectional questionnaire survey (n = 1,045) of residents of Harbin who had enrolled for basic medical insurance system. A quota sampling method was further adopted. A multivariate logistic regression model was then employed to identify the factors influencing the perceptions of the benefits of the basic medical insurance system, followed by semi-structured interviews with 30 conveniently selected key informants. Interpretative phenomenological analysis was used to analyze the interview data.

Results

Approximately 44% of insured persons reported low perceptions of benefits. The logistic regression model showed that low perceptions of the benefits of the basic medical insurance system was positively correlated with the experience of daily drug purchases (OR = 1.967), perceptions of recognition with basic medical insurance system (OR = 1.948), perceptions of the financial burden of participation costs (OR = 1.887), perceptions of the convenience of using basic medical insurance for medical treatment (OR = 1.770), perceptions of the financial burden of daily drug purchases costs (OR = 1.721), perceptions of the financial burden of hospitalization costs (OR = 1.570), and type of basic medical insurance system (OR = 1.456). The results of the qualitative analysis showed that the key problem areas of perceptions of the benefits of the basic medical insurance system were: (I) system design of basic medical insurance; (II) intuitive cognition of the insured; (III) rational cognition of the insured; and (IV) the system environment.

Conclusions

Improving the perceptions of the benefits of the basic medical insurance system of the insured requires joint efforts in improving system design and implementation, exploring effective publicity methods of basic medical insurance system information, supporting public policy literacy, and promoting the health system environment.

Association of depression with cognitive frailty: A systematic review and meta-analysis

BACKGROUND AND AIM

The relationship between cognitive frailty and depression is unclear and quantitative analyses are lacking. We conducted a systematic review and meta-analysis to investigate the relationship between cognitive frailty and depression.

METHODS

We systematically searched Embase, PubMed, Medline (Ovid), Web of Science, and APA PsycInfo (American Psychological Association PsycInfo) databases until April 2022. Meta-analysis was performed using the Stata software. The prevalence between cognitive frailty and depression them was estimated by extracting the proportion of cognitive frailty and depression in the total number of patients. We extracted odds ratios (ORs) and 95 % confidence intervals (CI) to estimate the relationship between cognitive frailty and depression.

RESULTS

A meta-analysis of 15 studies revealed that cognitive frailty in older adults was associated with a higher risk of depression (OR = 2.06, 95 % CI = 1.72-2.48, p = 0.001). Eight studies involved the prevalence of cognitive frailty and depression, with an overall prevalence of depression of 46 % (95 % CI, 30 % -62 %; p < 0.0001) in cognitively frail patients.

LIMITATION

Differences in definitions and assessment methods for cognitive frailty across studies.

CONCLUSION

The prevalence of cognitive frailty combined with depression in the elderly is high wherein both are mutually affected. More prospective studies are needed to investigate the relationship between cognitive frailty and depression and to propose targeted treatment options and preventive measures to improve the quality of life of the elderly population.

The effects of interventions to enhance cognitive and physical functions in older people with cognitive frailty: a systematic review and meta-analysis

INTRODUCTION

Cognitive frailty is the co-existence of mild cognitive impairment and physical frailty that increases the risk of adverse health outcomes. The existing systematic reviews on cognitive frailty in the literature have focused only on identifying associated factors and adverse outcomes, and their relationship with frailty and cognition. This study aimed to examine the effects of interventions on cognitive functions, frailty, and physical functions and provide an overview of intervention components used in older people with cognitive frailty.

METHODS

This is a systematic review and meta-analysis. Medline, PubMed, CINAHL, Embase, PsycINFO, and Cochrane were searched for publishing during 2013-2021. Studies were selected based on the following eligibility criteria: 1) older people (age ≥ 60 years), 2) cognitive frailty, 3) outcomes on frailty or cognition or physical function, and 4) randomized controlled trial with any type of intervention. The Physiotherapy Evidence Database (PEDro) scale was used to rate the quality of the included studies. The review protocol was registered with PROSPERO (CRD42021251321).

RESULTS

Two thousand five hundred six studies were identified, 9 were eligible, and 8 were included in the meta-analysis. The standardized mean difference (Hedges G) between groups of cognitive functions was 0.95, frailty status was 0, physical function in walking was -1.67, and the physical function in core strength assessment was 3.39. Physical activity appeared as an essential component in all interventions for older people with cognitive frailty.

DISCUSSION

All interventions include physical activity as one of the components. Other components include cognitive training, nutrition education, behavioural intervention, mind-body intervention, psychosocial support, and virtual reality. The interventions are effective to promote cognitive and physical functions, but not physical frailty.

The transitions and predictors of cognitive frailty with multi-state Markov model: a cohort study

BACKGROUND

Cognitive frailty (CF) is characterized by the simultaneous presence of physical frailty and cognitive impairment. Previous studies have investigated its prevalence and impact on different adverse health-related outcomes. Few studies have focused on the progression and reversibility of CF and their potential predictors.

METHODS

Data were derived from the China Health and Retirement Longitudinal Study (CHARLS). A total of 4051 older adults with complete data on three waves of the survey (2011, 2013, and 2015) were included and categorized into four groups: normal state (NS), cognitive impairment (CI) only, physical frailty (PF) only and CF (with both PF and CI). A multi-state Markov model was constructed to explore the transitions and predicting factors of CF.

RESULTS

The incidence and improvement rates of CF were 1.70 and 11.90 per 100 person-years, respectively. The 1-year transition probability of progression to CF in those with CI was higher than that in the PF population (0.340 vs. 0.054), and those with CF were more likely to move to PF (0.208). Being female [hazard ratio (HR) = 1.46, 95%CI = 1.06, 2.02)], dissatisfied with life (HR = 4.94, 95%CI = 1.04, 23.61), had a history of falls (HR = 2.36, 95%CI = 1.02, 5.51), rural household registration (HR = 2.98, 95%CI = 1.61, 5.48), multimorbidity (HR = 2.17, 95%CI = 1.03, 4.59), and depression (HR = 1.75, 95%CI = 1.26, 2.45) increased the risk of progression to CF, whereas literacy (HR = 0.46, 95%CI = 0.33, 0.64) decreased such risk. Depression (HR = 0.43, 95%CI = 0.22, 0.84) reduced the likelihood of CF improvement, whereas literacy (HR = 2.23, 95%CI = 1.63, 3.07) increased such likelihood.

CONCLUSIONS

Cognitive frailty is a dynamically changing condition in older adults. Possible interventions aimed at preventing the onset and facilitating the recovery of cognitive frailty should focus on improving cognitive function in older adults.

Comparison of the prevalence and associated factors of cognitive frailty between elderly and middle-young patients receiving maintenance hemodialysis

PURPOSE

This study aimed at comparing the prevalence of cognitive frailty and explore the differences in the influencing factors between elderly and middle-young patients receiving maintenance hemodialysis (MHD).

METHODS

In this cross-sectional study, the frailty phenotype, mini-mental state examination, and clinical dementia rating were used to assess the current status of cognitive frailty in 852 patients receiving MHD from four hospitals in Lianyungang City and Xuzhou City, Jiangsu Province, China; the influencing factors were then analyzed for statistical significance.

RESULTS

Of the total 852 patients receiving MHD, 340 were classified into an elderly group (≥ 60 years) and 512 into a middle-young group (< 60 years). The prevalence of cognitive frailty was 35.9% and 8.8%, respectively. The results of multivariate logistic regression analysis showed that the independent factors of cognitive frailty were age (P < 0.001), education level (P = 0.010), nutritional status (P = 0.001), serum albumin level (P = 0.010), calf circumference (P = 0.024), and social support level (P < 0.001) in the elderly group and comorbidity status (P = 0.037), education level (P < 0.001), nutritional status (P = 0.008), serum creatinine level (P = 0.001), waist circumference (P < 0.001), and depression (P = 0.006) in the middle-young group.

CONCLUSION

The prevalence of cognitive frailty was significantly higher in the elderly group than in the middle-young group, and the influencing factors differed between the two populations.

Specific lysophosphatidylcholine and acylcarnitine related to sarcopenia and its components in older men

BACKGROUND

Metabolic profiling may provide insights into the pathogenesis and identification of sarcopenia; however, data on the metabolic basis of sarcopenia and muscle-related parameters among older adults remain incompletely understood. This study aimed to identify the associations of metabolites with sarcopenia and its components, and to explore metabolic perturbations in older men, who have a higher prevalence of sarcopenia than women.

METHODS

We simultaneously measured the concentrations of amino acids, carnitine, acylcarnitines, and lysophosphatidylcholines (LPCs) in serum samples from a cross-sectional study of 246 Chinese older men, using targeted metabolomics. Sarcopenia and its components, including skeletal muscle index (SMI), 6-m gait speed, and handgrip strength were assessed according to the algorithm of the Asian Working Group for Sarcopenia criteria. Associations were determined by univariate and multivariate analyses.

RESULTS

Sixty-five (26.4%) older men with sarcopenia and 181 (73.6%) without sarcopenia were included in the study. The level of isovalerylcarnitine (C5) was associated with the presence of sarcopenia and SMI. Regarding the overlapped metabolites for muscle parameters, among ten metabolites associated with muscle mass, six metabolites including leucine, octanoyl-L-carnitine (C8), decanoyl-L-carnitine (C10), dodecanoyl-L-carnitine (C12) and tetradecanoyl-L-carnitine (C14), and LPC18:2 were associated with handgrip strength, and three of which (C12, C14, and LPC18:2) were also associated with gait speed. Specifically, tryptophan was positively associated and glycine was negatively associated with handgrip strength, while glutamate was positively correlated with gait speed. Isoleucine, branched chain amino acids, and LPC16:0 were positively associated with SMI. Moreover, the levels of LPC 16:0,18:2 and 18:0 contributed significantly to the model discriminating between older men with and without sarcopenia, whereas there were no significant associations for other amino acids, acylcarnitines, and LPC lipids.

CONCLUSIONS

These results showed that specific and overlapped metabolites are associated with sarcopenic parameters in older men. This study highlights the potential roles of acylcarnitines and LPCs in sarcopenia and its components, which may provide valuable information regarding the pathogenesis and management of sarcopenia.

Specific Metabolites Involved in Antioxidation and Mitochondrial Function Are Correlated With Frailty in Elderly Men

Background

As an age-related syndrome, frailty may play a central role in poor health among older adults. Sarcopenia overlaps with the physical domain of frailty, and most existing studies have analyzed the associated factors of frailty and sarcopenia as an isolated state. Perturbations in metabolism may play an important role in the presence of frailty or sarcopenia; however, the metabolites associated with frailty, especially overlapping with sarcopenia remain unclear. In this study, we aimed to explore whether amino acids, carnitines, acylcarnitines and lysophosphatidylcholines, as specific panels, are significantly correlated with frailty, especially overlapping with sarcopenia, to gain insight into potential biomarkers and possible biological mechanisms and to facilitate their management.

Methods

We applied a targeted high-performance liquid chromatography-tandem mass spectrometry approach in serum samples from 246 Chinese older men (age 79.2 ± 7.8 years) with frailty (n = 150), non-frailty (n = 96), frailty and sarcopenia (n = 52), non-frail and non-sarcopenic control (n = 85). Frailty was evaluated using Freid phenotype criteria, sarcopenia was defined by diagnostic algorithm of Asian Working Group on Sarcopenia, and the participants were diagnosed as frailty and sarcopenia when they met the evaluation criteria of both frailty and sarcopenia. A panel of 29 metabolomic profiles was assayed and included different classes of amino acids, carnitines, acylcarnitines, and lysophosphatidylcholines (LPCs). Multivariate logistic regression was used to screen the metabolic factors contributing to frailty status, and orthogonal partial least squares discriminant analysis was used to explore important factors and distinguish different groups.

Results

In older men demonstrating the frail phenotype, amino acid perturbations included lower tryptophan and higher glycine levels. With regard to lipid metabolism, the frailty phenotype was characterized by lower concentrations of isovalerylcarnitine (C5), LPC16:0 and LPC18:2, while higher levels of octanoyl-L-carnitine (C8), decanoyl-L-carnitine (C10), dodecanoyl-L-carnitine (C12) and tetradecanoyl-L-carnitine (C14). After adjusting for several clinical confounders, tryptophan, LPC18:2, LPC 16:0 and C5 were negatively correlated with frailty, and C8 and C12 were positively related to frailty. We preliminarily identified metabolic profiles (LPC16:0, LPC18:2, glycine and tryptophan) that may distinguish older men with frailty from those without frailty. Importantly, a set of serum amino acids and LPCs (LPC16:0, LPC18:2, and tryptophan) was characterized in the metabotype of older adults with an overlap of frailty and sarcopenia. The metabolites that were most discriminating of frailty status implied that the underlying mechanism might be involved in antioxidation and mitochondrial dysfunction.

Conclusions

These present metabolic analyses may provide valuable information on the potential biomarkers and possible biological mechanisms of frailty, and overlapping sarcopenia. The findings obtained may offer insight into their management in older adults.

Functional fitness norms and trends of community-dwelling older adults in urban China

This study aimed to (1) establish age- and sex-specific functional fitness (FF) norms in Chinese older adults living in urban communities and (2) explore ageing-related degradations and sex differences in each FF dimension. A pool of 2398 individuals (1128 men; 1270 women) aged 60–98 years were recruited from urban communities of Nanjing, China. FF was measured using the Senior Fitness Test battery. FF norms were established for men and women in 5-year age intervals using five percentiles (10th, 25th, 50th, 75th, 90th). Significant degradations in FF were correlated with increases in age. Around half of test items in 75–79 years group (3 for men; 4 for women) and over half in 80–84 years group (5 for men; 4 for women) exhibited significant decreases in FF compared with the adjacent younger group, indicating that ages of 75 and 80 years are two potential turning points in FF declines. Significant differences existed between the overall FF of men and women; women outperformed men in flexibility and men outperformed women in upper body strength, agility/dynamic balance, and aerobic endurance. Significant age and sex effects occurred in each fitness dimension, which helps individualised program design and promotes an active lifestyle in older adults.