Socioeconomic inequalities in frailty and frailty components among community-dwelling older citizens

The association of frailty with morbidity and mortality following major mucosal head and neck surgery

OBJECTIVES

Frailty refers to a state of reduced physiological reserve and functional decline. We sought to analyse whether frailty, assessed using the 5-item modified frailty index (5mFI), was associated with increased morbidity and mortality following major mucosal head and neck surgery.

MATERIALS AND METHODS

We performed a retrospective study of patients undergoing major mucosal head and neck surgical resection over a 2-year period. Potential confounding variables were controlled by way of multivariable regression analysis.

RESULTS

There were 310 patients included with 77 (24.8 %) classified as frail. Most patients were male (219/310, 70.7 %), had a history of smoking (246/310, 79.4 %) and 151 patients (48.7 %) were older than 65 at time of surgery. Most surgeries related to oral cavity or oropharyngeal subsites (227/310, 73.2 %) and 150 patients (48.4 %) underwent microvascular free tissue reconstruction. On multivariable analysis, frail patients were more likely to suffer adverse outcomes such as a return to theatre (OR 3.47, 95 % CI 1.82-6.62, p < 0.001), a Clavien-Dindo grade IV complication (OR 6.23, 95 % CI 2.55-15.20, p < 0.001) or medical complications, such as respiratory complications (OR 2.61, 95 % CI 1.45-4.69; p = 0.001) or delirium (OR 5.05, 95 % CI 2.46-10.33; p < 0.001). Additionally, hospital length of stay was increased among frail patients (ß 16.46 days, 95 % CI 9.85-23.07 days; p < 0.001). Neither 90-day nor 1-year post-operative mortality was increased in frail patients.

CONCLUSION

Frailty assessed using the 5mFI was associated with greater post-operative morbidity, but not mortality following major mucosal head and neck surgery.

Frailty and socioeconomic position: A systematic review of observational studies

BACKGROUND

Frailty, an age-related state of reduced physiological reserve, is often associated with lower socio-economic position (SEP). This systematic review synthesised observational studies assessing (i) the association between SEP and frailty prevalence; (ii) how changes in frailty status over time vary by SEP; and (iii) whether the association between frailty and clinical outcomes is modified by SEP.

METHODS

We searched three electronic databases from 2001 to 2023. We included observational studies measuring early-, mid-, and late-life indicators of SEP (education, income, wealth, housing, occupation, and area-based measures of multiple deprivation) and frailty (assessed using any validated measure). Screening and extraction were performed in duplicate. Findings were synthesised using narrative synthesis.

RESULTS

We included 383 studies reporting findings from 265 independent samples/cohorts across 64 countries. Lower SEP was associated with higher frailty prevalence across all indicators (childhood deprivation 7/8 studies, education 227/248, occupation 28/32, housing 8/9, income 98/108, wealth 39/44 and area-based deprivation 32/34). Lower SEP was also associated with higher frailty incidence (27/30), with greater odds of transitioning towards a more severe frailty state (35/43), lower odds of frailty reversion (7/11), and (in some studies) with more rapid accumulation of deficits (7/15). The relationship between frailty and mortality was not modified by SEP.

INTERPRETATION

Preventative measures across multiple levels of individual and structural inequality are likely to be required to reduce the rising levels of frailty. Resourcing of interventions and services to support people living with frailty should be proportionate to needs in the population to avoid widening existing health inequalities.

Avoidable Hospitalizations in Frail Older Adults: The Role of Sociodemographic, Clinical, and Care-Related Factors

OBJECTIVES

This study aims to investigate the relationship between frailty and avoidable hospitalization risk, and the moderating role of sociodemographic, clinical, and care-related factors.

DESIGN

Longitudinal population-based cohort study.

SETTING AND PARTICIPANTS

A total of 3168 community-dwelling individuals, aged ≥60 years, from the Swedish National study on Aging and Care in Kungsholmen (SNAC-K).

METHODS

We operationalized physical frailty using baseline SNAC-K data (2001-2004). In line with the Swedish Board of Health and Welfare and Association of Local Authorities and Regions, avoidable hospitalizations were considered those that could have been prevented through proper and timely outpatient care and identified through the Swedish National Patient Register. Participants were followed from baseline until first avoidable hospitalization, death, drop out, institutionalization, or maximum 12 (median 7.6) years. The association between frailty and avoidable hospitalization was explored through flexible parametric survival models, with stratified analyses to investigate age, gender, education, civil status, multimorbidity, cognitive status, and informal and formal care as potential modifiers.

RESULTS

The adjusted 12-year cumulative incidence of avoidable hospitalization was significantly higher for frail persons (cumulative incidence 33.2%, 95% CI 28.9%-38.1%) than for prefrail (cumulative incidence 26.6%, 95% CI 24.5%-29.0%) and nonfrail (cumulative incidence 25.2%, 95% CI 22.5%-28.3%) individuals. In addition, prefrailty [hazard ratio (HR) 1.21, 95% CI 1.00-1.45] and frailty (HR 1.91, 95% CI 1.47-2.50) were associated with increased avoidable hospitalization hazards. Furthermore, the association between frailty and avoidable hospitalization was stronger in older adults aged <78 years (HR 3.12, 95% CI 1.99-4.91) and those with relatively fewer chronic diseases (HR 3.88, 95% CI 1.95-7.72), whereas provision of formal social care (HR 1.15, 95% CI 0.77-1.72) seemed to act as a buffer.

CONCLUSIONS AND IMPLICATIONS

Our results indicate that older community-dwelling adults with prefrailty and frailty are at increased risk of experiencing avoidable hospitalizations, highlighting a need for better care of these individuals at the outpatient level. Formal social care services and close monitoring of particularly vulnerable subgroups of frail persons may mitigate this risk.

New insights into healthy ageing, inflammageing and frailty using metabolomics

Human ageing is a normal process and does not necessarily result in the development of frailty. A mix of genetic, environmental, dietary, and lifestyle factors can have an impact on ageing, and whether an individual develops frailty. Frailty is defined as the loss of physiological reserve both at the physical and cellular levels, where systemic processes such as oxidative stress and inflammation contribute to physical decline. The newest "omics" technology and systems biology discipline, metabolomics, enables thorough characterisation of small-molecule metabolites in biological systems at a particular time and condition. In a biological system, metabolites-cellular intermediate products of metabolic reactions-reflect the system's final response to genomic, transcriptomic, proteomic, epigenetic, or environmental alterations. As a relatively newer technique to characterise metabolites and biomarkers in ageing and illness, metabolomics has gained popularity and has a wide range of applications. We will give a comprehensive summary of what is currently known about metabolomics in studies of ageing, with a focus on biomarkers for frailty. Metabolites related to amino acids, lipids, carbohydrates, and redox metabolism may function as biomarkers of ageing and/or frailty development, based on data obtained from human studies. However, there is a complexity that underpins biological ageing, due to both genetic and environmental factors that play a role in orchestrating the ageing process. Therefore, there is a critical need to identify pathways that contribute to functional decline in people with frailty.

The association between frailty and body composition among the elderly: Birjand Longitudinal Aging Study (BLAS)

Background

This study aims to assess the possible relationship between frailty and anthropometric indices in older adults using data from the first phase of the Birjand Longitudinal Aging Study (BLAS).

Methods

In this cross-sectional study, we assessed the association between frailty (Frailty index (FI) and Fried frailty phenotype) and body composition indices in 1364 participants aged ≥ 60 years (September 2018 to April 2019). Analysis was conducted using one-way ANOVA and ordinal logistic regression.

Results

Participants were categorized as frail (n = 164), non-frail (n = 415), and pre-frail (n = 785) based on FI. A significant positive association was observed between the frailty and body mass index (BMI) (OR: 1.04, 95% CI:1.01- 1.07), waist circumference (WC) (OR: 1.02, 95% CI: 1.01- 1.03), waist-to-hip ratio (WHR) (OR: 2.36, 95% CI 1.05- 5.27) and waist-to-height ratio (WHtR) (OR: 1.27, 95%CI: 1.09- 1.47). Body shape index, body roundness index, and body adiposity index showed no significant association with frailty. Moreover, a BMI greater than 29 kg/m2 increased the odds of frailty and prefrailty by 79% (OR = 1.79, 95%CI = 1.30- 2.46, P < 0.001).

Conclusion

Results of this study showed that the risk of frailty increases as BMI and abdominal obesity indices increase. Therefore, BMI and abdominal obesity indices (WC, WHR, and WHtR) could serve as suitable tools for evaluating frailty in the elderly. However, additional studies are needed to evaluate the utility of the newly developed anthropometric indices in older adults.

Does the association between adiposity measures and pre-frailty among older adults vary by social position? Findings from the Tromsø study 2015/2016

INTRODUCTION

Pre-frailty provides an ideal opportunity to prevent physical frailty and promote healthy ageing. Excess adiposity has been associated with an increased risk of pre-frailty, but limited studies have explored whether the association between adiposity measures and pre-frailty varies by social position.

METHODS

We used data from the seventh survey of the Tromsø Study (Tromsø7) conducted in 2015-2016. Our primary sample consisted of 2,945 women and 2,794 men aged ≥ 65 years. Pre-frailty was defined as the presence of one or two of the five frailty components: low grip strength, slow walking speed, exhaustion, unintentional weight loss and low physical activity. Adiposity was defined by body mass index (BMI), waist circumference (WC), fat mass index (FMI) and visceral adipose tissue (VAT) mass. Education and subjective social position were used as measures of social position. Poisson regression with robust variance was used to assess the association between adiposity measures and pre-frailty, and the interaction term between adiposity measures and social position measures were utilised to explore whether the association varied by social position.

RESULTS

In our sample, 28.7% of women and 25.5% of men were pre-frail. We found sub-multiplicative interaction of BMI-defined obesity with education in women and subjective social position in men with respect to development of pre-frailty. No other adiposity measures showed significant variation by education or subjective social position. Regardless of the levels of education or subjective social position, participants with excess adiposity (high BMI, high WC, high FMI and high VAT mass) had a higher risk of pre-frailty compared to those with low adiposity.

CONCLUSION

We consistently observed that women and men with excess adiposity had a greater risk of pre-frailty than those with low adiposity, with only slight variation by social position. These results emphasize the importance of preventing excess adiposity to promote healthy ageing and prevent frailty among all older adults across social strata.

Burden of frailty and its correlates among the elderly: a cross-sectional study in a rural community of West Bengal

Context

With the ageing of Indian society, providing a healthy life among older people is a public health precedence. Therefore, beforehand discovery and possible forestalment of frailty may help promote healthy ageing and dwindle the social, mental and financial burden of their families and caregivers.

Aims

The study aimed to assess the proportion of frailty and its associated factors among the elderly aged 65 years and above in a rural community of West Bengal.

Settings and Design

A community-based cross-sectional study was conducted among 270 elderlies selected from 15 villages out of a total 64 villages of Singur under the Hooghly District of West Bengal from January 2019 to February 2020.

Materials and Methods

Cluster sampling technique was used. Data was collected using a pre-designed, pre-tested structured schedule including Fried frailty phenotype (FFP), geriatric depression scale short form (GDS 15) and mini nutritional assessment (MNA) tool.

Statistical Analysis Used

Associated factors of frailty were assessed by univariate and multivariable logistic regression using SPSS version 16 software and MS Excel 2019.

Results

The proportion of frailty was observed to be 23.7% and that of prefrailty 40.7%. Frailty was significantly associated with increasing age [AOR(CI) 1.2(1.1-1.3)], decreasing years of schooling [AOR(CI) 1.3(1.1-1.5)], loss of spouse [AOR(CI) 4.2(1.2-15.2)], financial dependency [AOR(CI) 19.3(2.7-139.0)], staying at home [AOR(CI) 16.3(2.7-98.2)], presence of anaemia [AOR(CI) 3.6(1.3-9.5)], at risk of malnutrition [AOR(CI) 6.5(1.9-22.3)], increasing number of falls in the last 1 year [AOR(CI) 4.3(1.2-15.6)], presence of 3 or more chronic diseases [AOR(CI) 154.7(12.1-1981.9)] and depression [AOR(CI) 8.3(2.5-27.0)].

Conclusion

The burden of frailty among the study population is relatively high. It's an intimidating situation that needs bettered screening provisions for early discovery with special stress on nutritive upliftment. Screening for depression should also be done regularly.

Multimorbidity and frailty are associated with poorer SARS-CoV-2-related outcomes: systematic review of population-based studies

BACKGROUND

Estimating the risks and impacts of COVID-19 for different health groups at the population level is essential for orienting public health measures. Adopting a population-based approach, we conducted a systematic review to explore: (1) the etiological role of multimorbidity and frailty in developing SARS-CoV-2 infection and COVID-19-related short-term outcomes; and (2) the prognostic role of multimorbidity and frailty in developing short- and long-term outcomes. This review presents the state of the evidence in the early years of the pandemic. It was conducted within the European Union Horizon 2020 program (No: 101018317); Prospero registration: CRD42021249444.

METHODS

PubMed, Embase, World Health Organisation COVID-19 Global literature on coronavirus disease, and PsycINFO were searched between January 2020 and 7 April 2021 for multimorbidity and 1 February 2022 for frailty. Quantitative peer-reviewed studies published in English with population-representative samples and validated multimorbidity and frailty tools were considered.

RESULTS

Overall, 9,701 records were screened by title/abstract and 267 with full text. Finally, 14 studies were retained for multimorbidity (etiological role, n = 2; prognostic, n = 13) and 5 for frailty (etiological role, n = 2; prognostic, n = 4). Only short-term outcomes, mainly mortality, were identified. An elevated likelihood of poorer outcomes was associated with an increasing number of diseases, a higher Charlson Comorbidity Index, different disease combinations, and an increasing frailty level.

DISCUSSION

Future studies, which include the effects of recent virus variants, repeated exposure and vaccination, will be useful for comparing the possible evolution of the associations observed in the earlier waves.

Occupational multimorbidity in the nickel industry workers

The purpose of the study was to obtain new data on the causes, development, prevalence and nature of occupational multimorbidity in the nickel industry workers. We extracted data from the register of occupational disease and intoxication cases in the population of the Murmansk region and the Krasnoyarsk Territory in 2007-2021. In 2007-2021, 24.6% of nickel industry workers with newly diagnosed occupational diseases developed a multimorbid pathology. Its prevalence rose from 0% in 2007 to 83.3% in 2021, and the number of occupational diseases increased by 3.17 times. Two diagnoses were found in 66 (14.9%), three in 22 (5.0%), four in fifteen (3.4%), five in eleven (2.5%), and six in three (0.7%) employees. Respiratory and musculoskeletal diseases were the most prevalent disorders, accounting for 31.5% and 23.0% of cases, respectively. Occupational multimorbidity resulted from the increased combined exposure to occupational hazards, outdated technological processes, and the working conditions in the finished product cleaners and crane operators. Multimorbid diseases can be better prevented with improvement in working conditions and better quality of periodic medical examinations.

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.

Changes in hospitalisation rates in older people before and after moving to a retirement village

OBJECTIVES

An increasing proportion of older people live in Retirement Villages ('villages'). This population cites support for health-care issues as one reason for relocation to villages. Here, we examine whether relocation to villages is associated with a decline in hospitalisations.

METHODS

Retrospective, before-and-after observational study.

SETTING

Retirement villages, Auckland, New Zealand.

PARTICIPANTS

466 cognitively intact village residents (336 [72%] female); mean (SD) age at moving to village was 73.9 (7.7) years. Segmented linear regression analysis of an interrupted time-series design was used.

MAIN OUTCOME MEASURES

all hospitalisations for 18 months pre- and postrelocation to village.

SECONDARY OUTCOME

acute hospitalisations during the same time periods.

RESULTS

The average hospitalisation rate (per 100 person-years) was 44.9 (95% confidence interval [CI] = 36.3-55.6) 18-10 months before village relocation, 58.9 (95% CI = 48.3-72.0) 9-1 months before moving, 47.9 (95% CI = 38.8-59.1) 1-9 months after moving and 62.4 (95% CI = 51.2-76.0) 10-18 months after moving. Monthly average hospitalisation rate (per 100 person-years) increased before relocation to village by an average of 1.2 (95% CI = 0.01-1.57, p = .04) per month from 18 to 1 month before moving, and there was a change in the level of the monthly average hospitalisation rate immediately after relocation (mean difference [MD] = -18.4 per 100 person-years, 95% CI = -32.8 to -4.1, p = .02). The trend change after village relocation did not differ significantly from that before moving.

CONCLUSIONS

Although we cannot reliably claim causality, relocation to a retirement village is, for older people, associated with a significant but non-sustained reduction in hospitalisation.

Current evidence on the association of tongue strength with cognitive decline in older adults and the known risk factors of frailty, sarcopenia and nutritional health: a scoping review protocol

INTRODUCTION

Evidence suggests that the pathology underlying cognitive decline leading to dementia begins 15-20 years before cognitive symptoms emerge. Thus, identifying biomarkers in this preclinical phase is critically important. Age-related decrease in muscle mass and strength, a known risk factor for sarcopenia, frailty and cognitive decline, also affects the tongue. This paper describes an a priori protocol by a multidisciplinary team to address the following questions relating to adults ≥50 years of age: (1) What is the current evidence on the association of tongue strength with cognitive decline? (2) How does tongue strength associate with frailty and sarcopenia? (3) What is the association of tongue strength with nutritional health?

METHODS AND ANALYSIS

Search terms will be identified then multiple electronic databases (PubMed, PsycINFO (Ovid), Scopus, Embase (Ovid), CINAHL and Web of Science) searched systematically for peer-reviewed articles published in English that address the following inclusion criteria: (1) human studies, (2) participants ≥50 years of age and (3) studies with tongue pressure values measured in relation to at least one of the following: frailty, sarcopenia, nutritional health, cognitive function and dementia (Alzheimer's, vascular, frontotemporal and Lewy body). Grey literature also will be searched to identify additional studies, clinical trials and policy papers appropriate for inclusion. The search will be from database inception. After removing duplicates, two research team members will independently screen abstracts and identify articles for full-text review. The team will use a data charting tool for data extraction. Data will be analysed quantitatively and qualitatively.

ETHICS AND DISSEMINATION

The scoping review does not require ethics approval as data will be from publicly available sources. Results will be disseminated in workshops and conferences and a peer-reviewed journal paper.

The prevalence of frailty and its relationship with sociodemographic factors, regional healthcare disparities, and healthcare utilization in the aging population across India

Objective

To estimate frailty prevalence and its relationship with the socio-economic and regional factors and health care outcomes.

Methods

In this study, participants from the harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) were included. The frailty index (FI) was calculated using a 32-variable deficit model, with a value of ≥ 25% considered as frail. Data on demographic (including caste and religion) and socioeconomic profiles and health care utilization were obtained. The state-wise health index maintained by the government based on various health-related parameters was used to group the participants' residential states into high-, intermediate-, and low-performing states. Multivariable and zero-inflated negative binomial regression was used to assess the relationship of frailty index with sociodemographic characteristics, health index, and health care expenditure or hospitalization.

Results

Among the 3953 eligible participants, the prevalence of frailty was 42.34% (men = 34.99% and women = 49.35%). Compared to high-performing states, intermediate- and low-performing states had a higher proportion of frail individuals (49.7% vs. 46.8% vs. 34.5%, P < 0.001). In the adjusted analysis, frailty was positively associated with age, female sex, rural locality, lower education level, and caste (scheduled caste and other backward classes). After adjusting for the socio-economic profile, FI was inversely associated with the composite health index of a state (P < 0.001). FI was also significantly correlated with total 1-year health care expenditure and hospitalization (P < 0.001 and 0.020, respectively).

Conclusion

There is a high prevalence of frailty among older Indian adults that is associated with sociodemographic factors and regional health care performance. Furthermore, frailty is associated with increased health care utilization and expenditure.

The Association of Neighborhood Characteristics and Frailty in Childhood Cancer Survivors: A Report from the St. Jude Lifetime Cohort Study

BACKGROUND

Childhood cancer survivors experience reduced physiologic reserve, or frailty, earlier and more frequently than peers. In other populations, frailty is impacted by one's neighborhood. This study's purpose was to evaluate associations between neighborhood characteristics and frailty in childhood cancer survivors.

METHODS

Participants in the St. Jude Lifetime Cohort Study with geocoded residential addresses were analyzed. Pre-frailty/Frailty was defined as having 1-2/≥3 of sarcopenia, muscle weakness, poor endurance, slow walking speed, and exhaustion from direct assessments. Neighborhood characteristics [e.g., access to exercise opportunities and healthy food, neighborhood socioeconomic status (nSES), and rurality/urbanicity] were determined using publicly available geospatial data. Nested multivariable logistic regression models identified associations between neighborhood characteristics and pre-frailty/frailty, adjusting for chronic health conditions, individual health behaviors and socio-demographics, and high-risk cancer treatment exposures.

RESULTS

For our cohort (N = 3,806, 46.79% female, 81.40% white, mean age 33.63±9.91 years), compared with non-frail survivors (n = 2,573; 67.6%), pre-frail (n = 900; 23.6%) and frail survivors (n = 333; 8.7%) were more likely to live in neighborhoods with decreased exercise opportunities (frail OR: 1.62, 1.26-2.09), reduced healthy food access (pre-frail OR: 1.28, 1.08-1.51; frail OR: 1.36, 1.06-1.75), and lower nSES (pre-frail OR: 1.31, 1.12-1.52; frail OR: 1.64, 1.30-2.07). Participants had 8% increased odds (95% confidence interval, 2%-14%) of being pre-frail/frail if they lived in "resource poor" neighborhoods as opposed to "resource rich" neighborhoods after adjusting for other pre-frailty/frailty risk factors.

CONCLUSIONS

The neighborhood a childhood cancer survivor resides in as an adult is associated with pre-frailty/frailty.

IMPACT

This study provides valuable information for creating interventions using neighborhood-level factors to mitigate frailty and improve health outcomes in survivors. See related commentary by Bhandari and Armenian, p. 997.

Identifying frailty and its associated factors in patients with axial spondyloarthritis

BACKGROUND AND AIM

Frailty is an elderly people phenomenon; however, younger adults with comorbidities may show a higher trajectory of frailty toward older age. The frailty status of middle-aged patients with axial spondyloarthritis (axSpA) remains little researched. We aimed to identify frailty status and to investigate the association of clinical, sociodemographic, and psychosocial factors with frailty.

METHODS

This study included 114 patients aged between 40 and 65 years. The patients were classified as frail, pre-frail, and robust according to Fried's phenotype and the Kihon Checklist (KCL). Physical function, quality of life, depression, anxiety, and disease-related factors were assessed. Between-group comparisons and multinomial logistic regression analysis were performed.

RESULTS

Frailty and pre-frailty prevalences were 20.2% and 49.1% for Fried's phenotype and 36.0% and 33.3% for the KCL. Frail adults had impaired physical function and increased disease activity compared to pre-frail and robust patients. Adjusted multinomial logistic regression analysis revealed that disease activity (odds ratio [OR] = 1.62, 95% CI = 1.12-2.34) and Short Physical Performance Battery (OR = 0.32, 95% CI = 0.18-0.56) were associated with Fried's phenotype-determined frailty. Disease activity (OR = 1.91, 95% CI = 1.11-3.26), Bath Ankylosing Spondylitis Functional Index (OR = 2.70, 95% CI = 1.56-4.67), and depression (OR = 1.55, 95% CI = 1.18-2.02) were associated with the KCL determined frailty.

CONCLUSION

Frailty and pre-frailty are commonly detected in middle-aged individuals with axSpA. Our findings highlight a possible need for frailty screening and preventive programs targeting middle-aged axSpA patients.

Household wealth, neighbourhood deprivation and frailty amongst middle-aged and older adults in England: a longitudinal analysis over 15 years (2002-2017)

BACKGROUND

frailty is a condition of reduced function and health due to ageing processes and is associated with a higher risk of falls, hospitalisation, disability and mortality.

OBJECTIVE

to determine the relationship between household wealth and neighbourhood deprivation with frailty status, independently of demographic factors, educational attainment and health behaviours.

DESIGN

population-based cohort study.

SETTING

communities in England.

SUBJECTS

in total 17,438 adults aged 50+ from the English Longitudinal Study of Ageing.

METHODS

multilevel mixed-effects ordered logistic regression was used in this study. Frailty was measured using a frailty index. We defined small geographic areas (neighbourhoods) using English Lower layer Super Output Areas. Neighbourhood deprivation was measured by the English Index of Multiple Deprivation, grouped into quintiles. Health behaviours included in this study are smoking and frequency of alcohol consumption.

RESULTS

the proportion of respondents who were prefrail and frail were 33.8% [95% confidence interval (CI) 33.0-34.6%] and 11.7 (11.1-12.2)%, respectively. Participants in the lowest wealth quintile and living in the most deprived neighbourhood quintile had 1.3 (95% CI = 1.2-1.3) and 2.2 (95% CI = 2.1-2.4) times higher odds of being prefrail and frail, respectively, than the wealthiest participants living in the least deprived neighbourhoods Living in more deprived neighbourhood and poorer wealth was associated with an increased risk of becoming frail. Those inequalities did not change over time.

CONCLUSIONS

in this population-based sample, living in a deprived area or having low wealth was associated with frailty in middle-aged and older adults. This relationship was independent of the effects of individual demographic characteristics and health behaviours.

How Neighborhood Structural and Individual Characteristics Affect Frailty Progression: Evidence from the China Health and Retirement Longitudinal Study

OBJECTIVES

(1) To characterize the average trajectories of frailty over time in Chinese community-dwelling older adults; (2) To assess the effects of neighborhood structural and individual characteristics on frailty progression.

DESIGN

A nationally representative prospective cohort study.

SETTING

Communities in 28 provinces, China.

PARTICIPANTS

6238 respondents aged 60 and above in 447 communities from four waves of the China Health and Retirement Longitudinal Study.

MEASUREMENTS

Frailty was measured using the 61-item Frailty Index (FI).

RESULTS

The trajectory of FI was nonlinear, with an average growth rate of 0.025 that significantly slows down at the rate of 0.002 per year. Older, male, and uninsured respondents showed faster rates of growth in FI over time than younger, female, and insured counterparts. Respondents living in neighborhoods with a higher percentage of the older population and rural villages showed slower rates of growth in FI over time.

CONCLUSION

Expanding health insurance coverage and keeping a high clustering of the elderly in neighborhoods may be the potential strategies for population-level frailty prevention and interventions.

Association between socioeconomic position trajectories and frailty among elderly people in Taiwan

This study examined the association between socioeconomic position (SEP) trajectories and frailty in the elderly population in Taiwan. We used data from people aged 53 years and over (n = 1284) collected from wave two of the Social Environment and Biomarkers of Aging Study. Frailty was identified using the modified Fried criteria, with the scores combined to use to categorize participants as frail (score = 3-5), prefrail (score = 1 or 2) and robust (score = 0). We applied a group-based person-centered trajectory model to identify four types of SEP trajectories (low-low, 19.2%; high-low 12.5%; low-high, 35.4%; and high-high, 32.9%) to describe the social mobility patterns in the participants' lives from childhood to older age. The mean age of the study population was 65.30 ± 8.94 years, and 47.39% of the participants were women. The prevalence of frailty was 18.39%. The low-low, high-low, low-high, and high-high SEP trajectory groups were represented by 37.92%, 24.93%, 15.43%, and 7.91%, respectively, of the study population. We used multinomial logistic regression models to evaluate the association between SEP and the risk of frailty. Compared with the low-low SEP trajectory group, the high-high SEP trajectory group was significantly associated with a lower prevalence of frail and pre-frail (odds ratios 0.17 and 0.36; 95% confidence interval 0.08-0.34 and 0.21-0.61). Our results suggest that a disadvantaged life-course SEP is associated with increased risks of frailty in older age. Avoiding that unfavourable SEP trajectories over the life course translate into an increased probability of frailty is key to reducing health inequalities in elderly populations.

Prevalence and Risk Factors of Frailty in Stroke Patients: A Meta-Analysis and Systematic Review

OBJECTIVES

Summarize the existing evidence regarding the prevalence and risk factors of frailty in stroke patients.

DESIGN

A meta-analysis and systematic review.

PARTICIPANTS

Stroke patients in hospitals or communities.

METHODS

We undertook a systematic review and meta-analysis using articles available in 8 databases, including PubMed, The Cochrane Library, Web of Science, Embase, Chinese Biomedical Database (CBM), China National Knowledge Infrastructure Database (CNKI), Wanfang Database, and Weipu Database (VIP) from January 1990 to April 2022. Studies were quality rated using the Newcastle-Ottawa Scale and Agency for Healthcare Research and Quality tool.

RESULTS

A total of 24 studies involving 30,423 participants were identified. The prevalence of frailty and pre-frailty in stroke patients was 27% (95%CI: 0.23-0.31) and 47.9% (95%CI: 0.43-0.53). Female gender (OR = 1.76, 95%CI: 1.63-1.91), advanced age (MD = 6.73, 95%CI: 3.55-9.91), diabetes (OR = 1.34, 95%CI: 1.06-1.69), hyperlipidemia (OR = 1.46, 95%CI: 1.04-2.04), atrial fibrillation (OR = 1.36, 95%CI: 1.01-1.82), National Institutes of Stroke Scale (NIHSS) admission scores (MD = 2.27, 95%CI: 1.72-2.81) were risk factors of frailty in stroke patients.

CONCLUSIONS

Frailty was more prevalent in stroke patients. Female gender, advanced age, diabetes, hyperlipidemia, atrial fibrillation, and National Institutes of Stroke Scale (NIHSS) admission scores were identified as risk factors for frailty in stroke patients. In the future, medical staff should pay attention to the early screening of frailty in high-risk groups and provide information on its prevention.

Wealth disparity and frailty among community-dwelling older adults in India

Background

Due to the vast socioeconomic diversity among its residents, studying health inequality in India is of particular interest. This study aimed to investigate the wealth-based inequalities in physical frailty and to quantify the contributions of potential predictors of frailty to this inequality.

Methods

Data were drawn from the first wave of the Longitudinal Ageing Study in India (LASI) conducted during 2017–18. Logistic regression analysis was used to examine the association between wealth status and frailty. We used the concentration index to measure the magnitude of wealth-related inequality in frailty. A decomposition analysis based on the logit model was used to assess the contribution of each predictor to the total inequality.

Results

The prevalence of physical frailty was significantly higher among the older adults in the poor group than in the non-poor group [Difference (poor vs. non-poor): 6.4%; p < 0.001]. Regression results indicated that older adults in the poorest group were 23% more likely to be physically frail than those in the richest category [Adjusted odds ratio (AOR) = 1.23; 95% confidence interval (CI): 1.11, 1.38]. The overall concentration index of frailty was 0.058 among the older adults, indicating that frailty is more concentrated among older adults with poor wealth status. Body mass index, wealth index, educational status, and region were the major and significant contributors to the socioeconomic status (SES) related inequalities in frailty.

Conclusions

Results suggest the need for formulating effective prevention and intervention strategies to decelerate the development of physical frailty among older adults in India, especially those with poor socioeconomic background.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14434-9.

Association of social determinants of health with frailty, cognitive impairment, and self-rated health among older adults

Background and objectives

Recently, the role of social determinants of health on frailty and dementia has received increased attention. The aim of the present study is to explore the association of social determinants on cognitive impairment, frailty, and self-rated health. As health is influenced by many factors, we also examine other health determinants including lifestyle, health seeking behaviour, socio-demographics, and multimorbidity in the analysis.

Research design and methods

Cross-sectional analysis of the Healthy Older People Everyday (HOPE) study in Singapore was carried out on 998 older adults above the age of 65. We used forward stepwise multivariable logistic and linear regression analyses to assess the association of five health determinants (social determinants, lifestyle, health seeking behaviour, socio-demographics and multimorbidity) on frailty, cognitive impairment, and self-rated health.

Results

Mean age of participants was 71.1 ± 0.2 years; 154 (15.4%) were cognitively impaired; 430 (43.1%) were pre-frail or frail; mean self-rated health was 80.4 ± 15.6. Social determinants contributed between 29% to 57% of the overall variation found in the full model with all five health determinants adjusted for. Participants with higher education had significantly lower odds of cognitive impairment and frailty. Leisure physical activity was significantly associated with lower odds of frailty and cognitive impairment, and better self-rated health.

Discussion and implications

Understanding the dynamics of different health determinants is crucial to protect the vulnerable in an ageing population. Our study highlights the need for a multidimensional, multidisciplinary and multisectoral approach in the prevention of frailty, cognitive impairment, and associated disability.

The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records

Purpose

Frailty is a prevalent condition in older adults. Identification of frailty using an electronic Frailty Index (eFI) has been successfully implemented across general practices in the United Kingdom. However, in Australia, the eFI remains understudied. Therefore, we aimed to (i) examine the feasibility of deriving an eFI from Australian general practice records and (ii) describe the prevalence of frailty as measured by the eFI and the prevalence with socioeconomic status and geographic remoteness.

Participants and Methods

This retrospective analysis included patients (≥70 years) attending any one of >700 general practices utilizing the Australian MedicineInsight data platform, 2017–2018. A 36-item eFI was derived using standard methodology, with frailty classified as mild (scores 0.13–0.24); moderate (0.25–0.36) or severe (≥0.37). Socioeconomic status (Socio-Economic Indexes for Areas (SEIFA) index)) and geographic remoteness (Australian Statistical Geography Standard (ASGC) remoteness areas) were also examined.

Results

In total, 79,251 patients (56% female) were included, mean age 80.0 years (SD 6.5); 37.4% (95% CI 37.0–37.7) were mildly frail, 16.7% (95% CI 16.4–16.9) moderately frail, 4.8% (95% CI 4.7–5.0) severely frail. Median eFI score was 0.14 (IQR 0.08 to 0.22); maximum eFI score was 0.69. Across all age groups, moderate and severe frailty was significantly more prevalent in females (P < 0.001). Frailty severity increased with increasing age (P < 0.001) and was strongly associated with socioeconomic disadvantage (P < 0.001) but not with geographic remoteness.

Conclusion

Frailty was identifiable from routinely collected general practice data. Frailty was more prevalent in socioeconomically disadvantaged groups, women and older patients and existed in all levels of remoteness. Routine implementation of an eFI could inform interventions to prevent or reduce frailty in all older adults, regardless of location.

Healthy aging index and its link with relative education between individual and neighborhood: a population-based, cohort study

OBJECTIVES

There is increasing recognition of the importance of neighborhood socioeconomic status (SES) for establishing an age-friendly society. Despite the benefits of improved neighborhood SES, little is known about the link of relative education between individuals and neighborhoods with healthy aging. This study aims to construct a healthy aging index (HAI) accounting for indicators' interlinkages and to test the association of the HAI with relative education between neighborhoods and individuals.

METHODS

The study used data from the China Health and Retirement Longitudinal Study from 2011 to 2018, including middle-aged and older adults (≥ 45 years). The final sample comprised 11633 participants residing in 443 neighborhoods with 34123 observations. Based on 13 health indicators, a hybrid method integrating network analysis with TOPSIS was applied to construct a HAI accounting for health interlinkages. Weighted multilevel linear and ordered logistic models were used to estimate the effects of neighborhood education.

RESULTS

Among the 11633 participants (mean [SD] age, 58.20 [8.91] years; 6415 women [52.82%]), the mean (SD) HAI was 48.94 (7.55) at baseline, showing a downward trend with age. Approximately 10% of participants had a HAI trajectory characterized by a low starting point and fast decline. A one-year increase in neighborhood education was independently associated with a 0.37-point increase (95% CI, 0.23-0.52) in HAI. Regardless of individual education, each participant tended to gain benefits from a neighborhood with higher education. However, the effects of increased neighborhood education were weaker for individuals whose education was lower than the neighborhood average.

CONCLUSIONS

The HAI is an interaction system. Improving neighborhood education was beneficial to healthy aging, but individuals with lower education relative to the neighborhood average may experience poor person-environment fit and obtain fewer benefits from improved neighborhood education. Thus, in the process of improving neighborhood SES, individual-based interventions should be conducted for individuals whose education level is lower than the neighborhood average to achieve person-environment fit.

"Age is just a number"; frailty as a marker of peri-operative risk in head and neck surgery: Systematic review and meta-analysis

BACKGROUND

Frailty refers to a patient's reduced capacity to withstand stressors due to a reduction in physiologic reserves. We assessed the impact of frailty on outcomes following head and neck surgery.

METHODS

We performed a systematic review in accordance with the PRISMA guidelines. Meta-analysis was performed using the Mantel-Haenszel method.

RESULTS

Fourteen studies incorporating 182 059 patients were included in qualitative synthesis with 15 953 (8.8%) of patients deemed as frail. Meta-analysis incorporating nine studies demonstrated that frailty is associated with an increased 30 day postoperative morbidity (OR 2.74; 95% CI 1.98-3.80; p < 0.01) and meta-analysis with six studies suggested increased 30-day mortality (OR 2.94; 95% CI 2.62-3.31; p < 0.01). Preliminary meta-analyses between two and five studies suggested that frail patients had reduced overall survival and were more likely to be discharged to a nonhome location or readmitted within 30 days.

CONCLUSIONS

Frailty appears to be associated with poor short-term outcomes following head and neck surgery and may improve understanding of an individual patient's peri-operative risk.

Neighbourhood Socioeconomic Processes and Dynamics and Healthy Ageing: A Scoping Review

Elderly citizens are concentrated in urban areas and are particularly affected by the immediate residential environment. Cities are unequal and segregated places, where there is an intensification of urban change processes such as gentrification and displacement. We aimed to understand how neighbourhood socioeconomic processes and dynamics influence older people’s health. Three bibliographic databases—PubMed, Web of Science, and Scopus—were used to identify evidence of the influence of neighbourhood socioeconomic deprivation, socio-spatial segregation, urban renewal, and gentrification on healthy ageing. We followed the method of Arksey and O’Malley, Levac and colleagues, the Joanna Briggs Institute, and the PRISMA-ScR. The included studies (n = 122) were published between 2001 and 2021. Most evaluated neighbourhood deprivation (n = 114), followed by gentrification (n = 5), segregation (n = 2), and urban renewal (n = 1). Overall, older people living in deprived neighbourhoods had worse healthy ageing outcomes than their counterparts living in more advantaged neighbourhoods. Older adults pointed out more negative comments than positive ones for gentrification and urban renewal. As to segregation, the direction of the association was not entirely clear. In conclusion, the literature has not extensively analysed the effects of segregation, gentrification, and urban renewal on healthy ageing, and more quantitative and longitudinal studies should be conducted to draw better inferences.

Frailty among Older People during the First Wave of the COVID-19 Pandemic in The Netherlands

Restrictive measures due to the COVID-19 pandemic may cause problems in the physical, social, and psychological functioning of older people, resulting in increased frailty. In this cross-sectional study, we aimed to assess the prevalence and characteristics of frailty, to examine differences in perceived COVID-19-related concerns and threats between frail and non-frail people and to identify variables associated with frailty in the first wave of the COVID-19 pandemic, in Dutch older people aged ≥ 65 years. We used data from the Lifelines COVID-19 Cohort Study. The Groningen Frailty Indicator (GFI) was used, with a score ≥ 4 indicating frailty. Frailty was described per domain (i.e., physical, cognitive, social, and psychological). The association between demographic, health and lifestyle variables and frailty was determined with logistic regression analyses. Frailty was present in 13% of the 11,145 participants that completed the GFI. Most items contributing to a positive frailty score were found within the social domain, in the frail (51%) and the non-frail (59%) persons. For items related to concerns and threats, a significantly higher proportion of frail people reported being worried or feeling threatened. In conclusion, during Corona restrictions, prevalence of frailty was considerable in older people from the Northern Netherlands, with one in eight being frail. Frailty was characterized by social problems and frail people were more often worried and felt threatened by the COVID-19 pandemic.

Socioeconomic status and ADL disability of the older adults: Cumulative health effects, social outcomes and impact mechanisms

INTRODUCTION

Socioeconomic status (SES) is one of the important indicators affecting individual's social participation and resource allocation, and it also plays an important role in the health shock of individuals. Faced by the trend of aging society, more and more nations across the world began to pay attention to prevent the risk of health shock of old adults.

METHODS

Based on the data of China Health and Retirement Longitudinal Study (CHARLS) in 2013, 2015 and 2018, this study uses path analysis and ologit model to empirically estimate the effects of SES and health shock on the activities of daily living (ADL) disability of old adults.

RESULTS

As a result, first, it was found that SES has significant impact on the disability of old adults. Specifically, economic conditions (income) plays dominant role. Economic status affects the risk of individual disability mainly through life security and health behavior. Secondly, SES significantly affecting health shock, with education and economic status showing remarkable impact, and there is an apparent group inequality. Furthermore, taking high education group as reference, the probability of good sight or hearing ability of the low education group was only 49.76% and 63.29% of the high education group, respectively, while the rates of no pain and severe illness were 155.50% and 54.69% of the high education group. At last, the estimation of path effect of SES on ADL disability indicates evident group inequality, with health shock plays critical mediating role.

CONCLUSIONS

SES is an important factor influencing residents' health shock, and health shocks like cerebral thrombosis and cerebral hemorrhage will indirectly lead to the risk of individual ADL disability. Furthermore, among the multi-dimensional indicators of SES, individual income and education are predominant factors affecting health shock and ADL disability, while occupation of pre-retirement have little impact.

Effects of a nurse-led multicomponent intervention for frail older adults living alone in a community: a quasi-experimental study

BACKGROUND

Given the rapid aging of the population in Korea, efforts to slow down or prevent frailty, to support the health of older adults, should be an important public health priority. This may allow them to continue living within the community by keeping their functional independence for as long as possible. This study aimed to evaluate the nurse-led multicomponent intervention for community-dwelling pre-frail or frail elderly on physical and psychosocial outcomes.

METHOD

A non-equivalent control pre-, post-, and follow-up test design was used with a sample of 126 prefrail or frail older adults (62 in the experimental and 64 in the control group). The 12-week multicomponent intervention for the experimental group comprised physical exercise, cognitive training, and nutrition and disease management education. Outcome variables (Timed Up and Go Test results and measures of frailty, handgrip strength, depression, social activity, and social support) were measured both pre- and post-intervention, and after the 12-week follow-up period.

RESULTS

For each group, we assessed the significant interaction of time with frailty, depression, social activity, and social support, as well as Timed Up and Go Test results. In the experimental group, levels of depression decreased while levels of social support and social activity increased from each measurement period to the next, within the 12-month study period; those in the control group were relatively stable over time.

CONCLUSIONS

The results indicate that nurse-led multicomponent intervention was effective for improving physical and psychosocial function of the (pre)frail older adults living alone in Korea, suggesting that older adults can take proactive roles in conducting their daily life and managing their health. A strategy for disseminating widely sustainable nurse-led multicomponent interventions should be developed for community-dwelling frail elderly who live alone.

The dynamics of frailty development and progression in older adults in primary care in England (2006-2017): a retrospective cohort profile

BACKGROUND

Frailty is a common condition in older adults and has a major impact on patient outcomes and service use. Information on the prevalence in middle-aged adults and the patterns of progression of frailty at an individual and population level is scarce. To address this, a cohort was defined from a large primary care database in England to describe the epidemiology of frailty and understand the dynamics of frailty within individuals and across the population. This article describes the structure of the dataset, cohort characteristics and planned analyses.

METHODS

Retrospective cohort study using electronic health records. Participants were aged ≥50 years registered in practices contributing to the Oxford Royal College of General Practitioners Research and Surveillance Centre between 2006 to 2017. Data include GP practice details, patient sociodemographic and clinical characteristics, twice-yearly electronic Frailty Index (eFI), deaths, medication use and primary and secondary care health service use. Participants in each cohort year by age group, GP and patient characteristics at cohort entry are described.

RESULTS

The cohort includes 2,177,656 patients, contributing 15,552,946 person-years, registered at 419 primary care practices in England. The mean age was 61 years, 52.1% of the cohort was female, and 77.6% lived in urban environments. Frailty increased with age, affecting 10% of adults aged 50-64 and 43.7% of adults aged ≥65. The prevalence of long-term conditions and specific frailty deficits increased with age, as did the eFI and the severity of frailty categories.

CONCLUSION

A comprehensive understanding of frailty dynamics will inform predictions of current and future care needs to facilitate timely planning of appropriate interventions, service configurations and workforce requirements. Analysis of this large, nationally representative cohort including participants aged ≥50 will capture earlier transitions to frailty and enable a detailed understanding of progression and impact. These results will inform novel simulation models which predict future health and service needs of older people living with frailty.

STUDY REGISTRATION

Registered on www.clinicaltrials.gov October 25th 2019, NCT04139278 .

Frailty and Its Correlates in Cognitively Intact Community-Dwelling Older Adults

BACKGROUND

Frailty syndrome is characterized by a decline in physiological and psychological reserve and may be associated with poor health outcomes.

OBJECTIVES

The current study explored frailty and its correlates among cognitively intact community-dwelling older adults.

METHODS

A secondary analysis of data collected from 109 community-dwelling older adults who are cognitively intact was conducted for the purpose of this study. The Arabic versions of the culturally adapted Tilburg Frailty Indicator, the Montreal Cognitive Assessment, the Geriatric Depression Scale, and the Short Form-36 Quality of Life (QOL) survey. Multiple linear regression was used to examine the relationships between frailty and depression.

RESULTS

The results indicated a high prevalence of frailty (78%) and depression (38%) among cognitively intact community-dwelling older adults. Frailty was found to be associated with increased age, being single or illiterate, living alone, having a high number of comorbid conditions, having high rate of depression, and having poor QOL.

CONCLUSION

High prevalence of frailty is associated with high depression scores, a high number of comorbid conditions, and poor QOL among cognitively intact community-dwelling older adults.

Frailty Triage: Is Rationing Intensive Medical Treatment on the Grounds of Frailty Ethical?

In early 2020, a number of countries developed and published intensive care triage guidelines for the pandemic. Several of those guidelines, especially in the UK, encouraged the explicit assessment of clinical frailty as part of triage. Frailty is relevant to resource allocation in at least three separate ways, through its impact on probability of survival, longevity and quality of life (though not a fourth-length of intensive care stay). I review and reject claims that frailty-based triage would represent unjust discrimination on the grounds of age or disability. I outline three important steps to improve the ethical incorporation of frailty into triage. Triage criteria (ie frailty) should be assessed consistently in all patients referred to the intensive care unit. Guidelines must make explicit the ethical basis for the triage decision. This can then be applied, using the concept of triage equivalence, to other (non-frail) patients referred to intensive care.

Plasma Levels of Interleukin-6 and the Cluster of Differentiation 4/Cluster of Differentiation 8 Ratio in Frailty among Community-dwelling Older People

Background: Frailty has become a major health problem among Indonesian elders. Immunosenescence specifically inflammaging are essential components in the development of frailty. Early screening and timely tailored intervention may effectively prevent or delay the adverse outcomes in elders. This study measured the CD4/CD8 ratio from the immunosenescence pathway and plasma IL-6 levels as inflammatory markers from the inflammaging pathway and observed the correlations between robust and frail elders groups Methods: We conducted a cross-sectional survey. Using multistage random sampling, we enrolled 64 participants across Malang city, divided into frail and robust groups. We analyzed the plasma IL-6 levels and CD4/CD8 ratio using an independent t-test and the Mann–Whitney U test. Results: Significant differences between frail and robust elders were found in age and education level, with the frail participants being older than the robust (p=0.001) and lower educational level (p<0.001). However, plasma IL-6 levels (p=0.936) and the CD4/CD8 ratio (p=0.468) were not statistically different between the groups. Conclusion: Plasma level of IL-6 was found to increase similarly in both groups, while CD4/CD8 ratio was normal and not statistically different between the robust and frail group in elders.

Self-rated health trajectory and frailty among community-dwelling older adults: evidence from the Taiwan Longitudinal Study on Aging (TLSA)

OBJECTIVES

Self-rated health (SRH) is an assessment and predictor of health based on an individual's general condition; however, evidence of the value of SRH for predicting frailty remains scarce for older Asian adults. This study aimed to evaluate the relationship between SRH score trajectory and frailty among older individuals in Taiwan.

DESIGN

An 8-year retrospective cohort study.

SETTING

Data were retrieved from the Taiwan Longitudinal Study on Aging from 1999 to 2007.

PARTICIPANTS

Respondents aged 53-69 years old who were not frail or disabled in 1999 (n=1956).

PRIMARY AND SECONDARY OUTCOME MEASURES

Frailty was defined using the Fried criteria. The group-based trajectory modelling technique was used to estimate SRH trajectories. Logistic regression analysis was used to examine the associations between changes in SRH and frailty.

RESULTS

Four SRH trajectory classes were identified across the 8-year follow-up: 232 participants (11.9%) were classified into the constantly poor SRH group, 1123 (57.4%) into the constantly fair SRH group, 335 (17.1%) into the constantly good SRH group and 266 (13.6%) into the good-to-fair SRH group. After adjusting for gender, age, level of education, income, social participation, health behaviours and major comorbidities, it was found that age, poor income satisfaction, without job and constantly poor SRH were associated with increased risk of frailty, while constantly good SRH (OR 0.04, 95% CI (0.01 to 0.32)) and good-to-fair SRH (OR 0.19, 95% CI (0.06 to 0.63)) were associated with reduced risks of frailty.

CONCLUSIONS

Constantly poor SRH was associated with an increased risk of frailty in older age. SRH in older adults should be recognised as a predictive tool for future frailty. Diet and exercise interventions may help to prevent frailty among high-risk older individuals with constantly low SRH.

Frailty differences across population characteristics associated with health inequality: a cross-sectional analysis of baseline data from the Canadian Longitudinal Study on Aging (CLSA)

OBJECTIVE

To evaluate the pattern of frailty across several of social stratifiers associated with health inequalities.

DESIGN, SETTING AND PARTICIPANTS

Cross-sectional baseline data on 51 338 community-living women and men aged 45-85 years from the population-based Canadian Longitudinal Study on Aging (collected from September 2011 to May 2015) were used in this study.

PRIMARY OUTCOMES AND MEASURES

A Frailty Index (FI) was constructed using self-reported chronic conditions, psychological function and cognitive status and physical functioning variables. Social stratifiers were chosen based on the Pan-Canadian Health Inequalities Reporting Initiative, reflecting key health inequalities in Canada. Unadjusted and adjusted FIs and domain-specific FIs (based on chronic conditions, physical function, psychological/cognitive deficits) were examined across population strata.

RESULTS

The overall mean FI was 0.13±0.08. It increased with age and was higher in women than men. Higher mean FIs were found among study participants with low income (0.20±0.10), who did not complete secondary education (0.17±0.09) or had low perceived social standing (0.18±0.10). Values did not differ by Canadian province of residence or urban/rural status. After simultaneously adjusting for population characteristics and other covariates, income explained the most heterogeneity in frailty, especially in younger age groups; similar patterns were found for men and women. The average frailty for people aged 45-54 in the lowest income group was greater than that for those aged 75-85 years. The heterogeneity in the FI among income groups was greatest for the psychological/cognitive domain.

CONCLUSIONS

Our results suggest that especially in the younger age groups, psychological/cognitive deficits are most highly associated with both overall frailty levels and the gradient in frailty associated with income. If this is predictive of later increases in the other two domains (and overall frailty), it raises the question whether targeting mental health factors earlier in life might be an effective approach to mitigating frailty.

Factors associated with physical, psychological and social frailty among community-dwelling older persons in Europe: a cross-sectional study of Urban Health Centres Europe (UHCE)

BACKGROUND

Frailty is an age-related condition resulting in a state of increased vulnerability regarding functioning across multiple systems. It is a multidimensional concept referring to physical, psychological and social domains. The purpose of this study is to identify factors (demographic characteristics, lifestyle factors and health indicators) associated with overall frailty and physical, psychological and social frailty in community-dwelling older people from five European countries.

METHODS

This cross-sectional study used baseline data from 2289 participants of the Urban Health Center European project in five European countries. Multivariable logistic regression models were used to assess associations of the factors with overall frailty and the three frailty domains.

RESULTS

The mean age was 79.7 (SD = 5.7). Participants who were older, were female, had secondary or equivalent education, lived alone, not at risk of alcohol use, were less physically active, had multi-morbidity, were malnourished or with a higher level of medication risk, had higher odds of overall frailty (all P < 0.05). Age was not associated with psychological and social frailty; sex was not associated with social frailty; smoking and migration background was not associated with overall frailty or any of its domains. There existed an interaction effect between sex and household composition regarding social frailty (P < 0.0003).

CONCLUSIONS

The present study contributed new insights into the risk factors for frailty and its three domains (physical, psychological and social frailty). Nurses, physicians, public health professionals and policymakers should be aware of the risk factors of each type of frailty. Furthermore, examine these risk factors more comprehensively and consider overall frailty as well as its three domains in order to further contribute to decision-making more precisely on the prevention and management of frailty.

TRIAL REGISTRATION

The intervention of the UHCE project was registered in the ISRCTN registry as ISRCTN52788952 . The date of registration is 13/03/2017.

Does identifying frailty from ICD-10 coded data on hospital admission improve prediction of adverse outcomes in older surgical patients? A population-based study

BACKGROUND

frailty is a major contributor to poor health outcomes in older people, separate from age, sex and comorbidities. This population-based validation study evaluated the performance of the International Classification of Diseases, 10th revision, coded Hospital Frailty Risk Score (HFRS) in the prediction of adverse outcomes in an older surgical population and compared its performance against the commonly used Charlson Comorbidity Index (CCI).

METHODS

hospitalisation and death data for all individuals aged ≥50 admitted for surgery to New South Wales hospitals (2013-17) were linked. HFRS and CCI scores were calculated using both 2- and 5-year lookback periods. To determine the influence of individual explanatory variables, several logistic regression models were fitted for each outcome of interest (30-day mortality, prolonged length of stay (LOS) and 28-day readmission). Area under the receiving operator curve (AUC) and Akaike information criterion (AIC) were assessed.

RESULTS

of the 487,197 patients, 6.8% were classified as high HFRS, and 18.3% as high CCI. Although all models performed better than base model (age and sex) for prediction of 30-day mortality, there was little difference between CCI and HFRS in model discrimination (AUC 0.76 versus 0.75), although CCI provided better model fit (AIC 79,020 versus 79,910). All models had poor ability to predict prolonged LOS (AUC range 0.62-0.63) or readmission (AUC range 0.62-0.65). Using a 5-year lookback period did not improve model discrimination over the 2-year period.

CONCLUSIONS

adjusting for HFRS did not improve prediction of 30-mortality over that achieved by the CCI. Neither HFRS nor CCI were useful for predicting prolonged LOS or 28-day unplanned readmission.

Frailty and socioeconomic status: a systematic review

The relationship between frailty and socioeconomic status has been widely explored in the literature. A deeper understanding toward the underlying mechanism is required to further assist policy makers in reducing the inequalities. The objective of this study is to systematically review evidence investigating the direct relationship between frailty and socioeconomic status. The review was conducted following the principles of Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). Among the included studies, 52.38% explored the pattern of frailty in age and 42.86% explored mediators as the pathway variables. With various measures and methodologies, included studies did not point to the same conclusions. In terms of the pattern of frailty in age, we found evidence for the age as leveller hypothesis, the status maintenance hypothesis and the cumulative advantage hypothesis. The included mediators differed across studies. However, we found that these mediators can be categorised into behaviours, health, social factors, material resources and mental status. These categories indicate the important aspects to consider for policies aiming at reducing the inequalities in frailty. To obtain a full picture of the underlying mechanism, future research should harmonise different measures for frailty and socioeconomic indicators and apply more comprehensive sets of mediators.

The Relationship between Health Perception and Health Predictors among the Elderly across European Countries

This study aimed to investigate the relationship between health perception and health predictors among the elderly. In this study, 376 older adults from four different countries (Hungary, n = 86; Italy, n = 133; Portugal, n = 95; and Spain, n = 62) were analyzed. All subjects completed the EQ-5D-5L to assess their quality-adjusted life years and were assessed in handgrip (HG) and in Timed Up and Go (TUG) tests. A three-way MANOVA was conducted to analyze the groups based on their age, sex, and country. The interaction effects in all included variables were also considered. The Bonferroni test was also executed as a post hoc test. Any interaction results were noticed. Regarding age, lower perceived quality of life scores and higher TUG results were registered in the oldest group, and greater values of left and right HG results were registered in the second-oldest group. Males showed greater left and right HG values than women. Spain showed lower perceived quality of life scores. Portugal and Italy showed greater HG left values, while Portugal had better HG right values. Hungary produced the greatest TUG scores. Quality of life is dependent on the subject’s age and physical fitness, as increasing age was associated with decreased values of HG and TUG. Only strength was different between sexes.

Neighborhood Characteristics and Frailty: A Scoping Review

BACKGROUND AND OBJECTIVES

Frailty is highly prevalent in later life and associated with early mortality and adverse health outcomes. The neighborhood has been identified as an important contributor to individual health, and neighborhood characteristics may contribute to frailty development. A scoping review was conducted of the peer-reviewed literature to better understand how physical and social neighborhood characteristics contribute to frailty.

RESEARCH DESIGN AND METHODS

Following an established scoping review methodology, we searched four peer-reviewed databases for relevant studies published from January 1, 2008, to December 31, 2018. Data extracted from studies included study characteristics, operationalization of neighborhood, the conceptual model of the neighborhood-frailty relationship, operationalization of frailty, and study findings for associations among neighborhood variables and frailty indicators.

RESULTS

A total of 522 articles were identified and 13 articles were included in the final data charting. Existing studies suggest that neighborhood characteristics are associated with frailty in later life. Few studies articulated a conceptual model identifying exact mechanisms through which neighborhood factors affected frailty. Studies designs were mostly cross-sectional. Longitudinal studies did not measure neighborhood characteristics over time. Studies varied considerably in how they operationalized the neighborhood. Frailty was most commonly assessed using a 5-point phenotype or a frailty index approach.

DISCUSSION AND IMPLICATIONS

Findings indicate that research on the relationship between neighborhood characteristics and frailty is an emerging area of inquiry. Additional studies are needed to more definitely explicate mechanisms through which neighborhoods contribute to, or protect older adults from, frailty.

Malnutrition According to GLIM Criteria and Adverse Outcomes in Community-Dwelling Chinese Older Adults: A Prospective Analysis

OBJECTIVES

The Global Leadership Initiative on Malnutrition (GLIM) has proposed a consensus scheme for classifying malnutrition. This study examined the prevalence of malnutrition according to GLIM criteria and evaluated if these criteria were associated with adverse outcomes in community-dwelling older adults.

DESIGN

This was a prospective cohort study.

SETTING AND PARTICIPANTS

Community-dwelling Chinese men and women aged ≥65 years in Hong Kong.

METHODS

A health check including questionnaire interviews and physical measurements was conducted at baseline and 14-year follow-up. Participants were classified as malnourished at baseline according to the GLIM criteria based on 2 phenotypic components (low body mass index and reduced muscle mass) and 1 etiologic component (inflammation). Adverse outcomes including sarcopenia, frailty, falls, mobility limitation, hospitalization, and mortality were assessed at 14-year follow-up. Adjusted multiple logistic regression and Cox proportional hazards model were performed to examine the associations between malnutrition and adverse outcomes and presented as odds ratio (OR) or hazard ratio (HR) and 95% confidence interval (CI).

RESULTS

Data of 3702 participants [median age: 72 years (IQR 68-76)] were available at baseline. Malnutrition was present in 397 participants (10.7%). Malnutrition was significantly associated with higher risk of sarcopenia (n = 898, OR 2.25; 95% CI 1.04-4.86), frailty (Fried (n = 971, OR 2.83; 95% CI 1.47-5.43), FRAIL scale (n = 985, OR 2.30; 95% CI 1.06-4.98)) and all-cause mortality (n = 3702, HR: 1.62; 95% CI 1.39-1.89). There was no significant association between malnutrition and falls (n = 987, OR 1.09; 95% CI 0.52-2.31), mobility limitation (n = 989, OR 0.98; 95% CI 0.36-2.67), and hospitalization (n = 989, OR 1.37; 95% CI 0.67-2.77).

CONCLUSIONS AND IMPLICATIONS

Among community-dwelling Chinese older adults, malnutrition according to selected GLIM criteria was a predictor of sarcopenia, frailty, and mortality at 14-year follow-up; whereas no association was found for falls, mobility limitation, and hospitalization. Clinicians may consider applying the GLIM criteria to identify malnourished community-dwelling older adults.

Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study

Multimorbidity and socioeconomic position are independently associated with mortality. We investigated the association of occupational position and several multimorbidity measures with all-cause mortality. A cohort of people aged 35 to 75 years who participated in the Trøndelag Health Study in 2006-2008 and had occupational data was linked to the Norwegian National Population Registry for all-cause mortality from study entry until 1 February 2019. Logistic regression models for each occupational group were used to analyze associations between the number of conditions and 10-year risk of death. Cox regression models were used to examine associations between combinations of multimorbidity, occupational position, and mortality. Analyses were conducted for men and women. Included were 31,132 adults (16,950 women (54.4%)); occupational groups: high, 7501 (24.1%); low, 15,261 (49.0%)). Increased mortality was associated with lower occupational group, more chronic conditions, and all multimorbidity measures. The joint impact of occupational group and multimorbidity on mortality was greater in men than women. All multimorbidity measures are strongly associated with mortality, with varying occupational gradients. Social differences in multimorbidity are a public health challenge and necessitate consideration in health care. Men in lower occupational groups seem to be a particularly vulnerable group.

Relationships between cognitive function and frailty in older Korean adults: The moderating effect of the number of teeth

BACKGROUND

Cognitive function and physical frailty are known to be closely related. Among older adults with dementia, those who wear dentures have a higher mortality rate than those who do not wear them. This suggests the possibility that oral health may affect the cognitive-frailty relationship. This study aims to investigate whether the number of teeth present, acts as a moderating variable in the cognitive function-frailty relationship.

METHODS

Data were obtained from the cross-sectional baseline study of the Korean Frailty Aging Cohort Study (2016-2017). Cognitive function was assessed using the Mini-Mental State Examination. Frailty score was based on the Cardiovascular Health Study Index. Oral condition was evaluated by the number of teeth present and analyzed using categories of 0-9 teeth, 10-19 teeth, and ≥20. The moderation effect was analyzed using the ordinary least squares (OLS) regression.

RESULTS

Data on 2,310 older adults (1,110 men; mean age 75.9 ± 3.9 years) was analyzed. Adjusting for age, sex, income, education, alcohol drinking, body mass index, and number of comorbidities, cognitive function and frailty showed a negative association (B=-.030, p = .011). In the 10-19 teeth category, compared to the 0-9 teeth category, a negative association with frailty was found (B=-.152, p = .026). A significant interaction effect between the number of teeth and cognitive function was detected (p = .007).

CONCLUSION

The number of teeth may modify the degree of the association between cognitive function and frailty. For effective frailty management of older persons, cognitive function management and oral management should be considered and performed together.

Genetics of frailty: A longevity perspective

Frailty is a complex late life phenotype characterized by cumulative declines in multiple physiological systems that increases the risk for disability and mortality. The biological changes associated with aging are risk factors for frailty as well as for complex diseases; whereas longevity is assumed to be an outcome of protective biological mechanisms. Understanding the interplay between biological alterations associated with aging and protective mechanisms associated with longevity in the context of frailty may help guide development of interventions to increase healthspan and promote successful aging. The complexity of these phenotypes and relatively low heritability in studies are the main roadblocks in deciphering genetic mechanisms of these age associated conditions. We review genetic research related to frailty, and discuss the possible intertwined biology of frailty and longevity.

Prevalence of multimorbidity with frailty and associations with socioeconomic position in an adult population: findings from the cross-sectional HUNT Study in Norway

OBJECTIVES

To explore prevalences and occupational group inequalities of two measures of multimorbidity with frailty.

DESIGN

Cross-sectional study.

SETTING

The Nord-Trøndelag Health Study (HUNT), Norway, a total county population health survey, 2006-2008.

PARTICIPANTS

Participants older than 25 years, with complete questionnaires, measurements and occupation data were included.

OUTCOMES

≥2 of 51 multimorbid conditions with ≥1 of 4 frailty measures (poor health, mental illness, physical impairment or social impairment) and ≥3 of 51 multimorbid conditions with ≥2 of 4 frailty measures.

ANALYSIS

Logistic regression models with age and occupational group were specified for each sex separately.

RESULTS

Of 41 193 adults, 38 027 (55% female; 25-100 years old) were included. Of them, 39% had ≥2 multimorbid conditions with ≥1 frailty measure, and 17% had ≥3 multimorbid conditions with ≥2 frailty measures. Prevalence differences in percentage points (pp) with 95% confidence intervals of those in high versus low occupational group with ≥2 multimorbid conditions and ≥1 frailty measure were largest in women age 30 years, 17 (14 to 20) pp and 55 years, 15 (13 to 17) pp and in men age 55 years, 15 (13 to 17) pp and 80 years, 14 (9 to 18) pp. In those with ≥3 multimorbid conditions and ≥2 frailty measures, prevalence differences were largest in women age 30 years, 8 (6 to 10) pp and 55 years, 10 (8 to 11) ppand in men age 55 years, 9 (8 to 11) pp and 80 years, 6 (95% CI 1 to 10) pp.

CONCLUSION

Multimorbidity with frailty is common, and social inequalities persist until age 80 years in women and throughout the lifespan in men. To manage complex multimorbidity, strategies for proportionate universalism in medical education, healthcare, public health prevention and promotion seem necessary.

Life-Course Circumstances and Frailty in Old Age Within Different European Welfare Regimes: A Longitudinal Study With SHARE

OBJECTIVES

This study aimed to assess whether cumulative disadvantage in childhood misfortune and adult-life socioeconomic conditions influence the risk of frailty in old age and whether welfare regimes influence these associations.

METHOD

Data from 23,358 participants aged 50 years and older included in the longitudinal SHARE survey were used. Frailty was operationalized according to Fried's phenotype as presenting either weakness, shrinking, exhaustion, slowness, or low activity. Confounder-adjusted mixed-effects logistic regression models were used to analyze associations of childhood misfortune and life-course socioeconomic conditions with frailty.

RESULTS

Childhood misfortune and poor adult-life socioeconomic conditions increased the odds of (pre-)frailty at older age. With aging, differences narrowed between categories of adverse childhood experiences (driven by Scandinavian welfare regime) and adverse childhood health experiences (driven by Eastern European welfare regime), but increased between categories of occupational position (driven by Bismarckian welfare regime).

DISCUSSION

These findings suggest that childhood misfortune is linked to frailty in old age. Such a disadvantaged start in life does not seem to be compensated by a person's life-course socioeconomic trajectory, though certain types of welfare regimes affected this relationship. Apart from main occupational position, our findings do not support the cumulative dis/advantage theory, but rather show narrowing differences.

Life Course Socioeconomic Conditions and Frailty at Older Ages

OBJECTIVES

This article aimed to assess associations of childhood socioeconomic conditions (CSC) with the risk of frailty in old age and whether adulthood socioeconomic conditions (ASC) influence this association.

METHODS

Data from 21,185 individuals aged 50 years and older included in the longitudinal Survey of Health, Ageing, and Retirement in Europe were used. Frailty was operationalized as a sum of presenting weakness, shrinking, exhaustion, slowness, or low activity. Confounder-adjusted multilevel logistic regression models were used to analyze associations of CSC and ASC with frailty.

RESULTS

While disadvantaged CSC was associated with higher odds of (pre-)frailty in women and men (odds ratio [OR] = 1.73, 95% confidence interval [CI] 1.34, 2.24; OR = 1.84, 95% CI 1.27, 2.66, respectively), this association was mediated by ASC. Personal factors and demographics, such as birth cohort, chronic conditions, and difficulties with activities of daily living, increased the odds of being (pre-)frail.

DISCUSSION

Findings suggest that CSC are associated with frailty at old age. However, when taking into account ASC, this association no longer persists. The results show the importance of improving socioeconomic conditions over the whole life course in order to reduce health inequalities in old age.

Decomposing Inequality in Long-Term Care Need Among Older Adults with Chronic Diseases in China: A Life Course Perspective

Background: China has the largest number of aging people in need of long-term care, among whom 70% have chronic diseases. For policy planners, it is necessary to understand the different levels of needs of long-term care and provide long-term care insurance to ensure the long-term care needs of all people can be met. Methods: This study combines the 2013 wave of CHARLS survey and the Life Course Survey of 2014. The combination allows us to factor in both childhood and adulthood data to provide life-course analysis. We identified 7,734 older adults with chronic diseases for analysis. The need for long-term care is defined by the presence of functional limitations based on the performance of basic activities of daily living (ADLs) and of instrumental activities of daily living (IADLs). Two dummy variables, ADLs disability and IADLs disability, and two count variables, ADLs score and IADLs score, were defined to measure incidence and severity of long-term care need, respectively. The concentration index was used to capture the inequality in long-term care need, and a decomposition method based on Probit Regression and Negative Binomial Regression was exploited to identify the contribution of each determination. Results: At least a little difficulty was reported in ADLs and IADLs in 20.44% and 19.25% of respondents, respectively. The concentration index of ADLs disability, ADLs score, IADLs disability, IADLs score were −0.085, −0.109, −0.095 and −0.120, respectively, all of which were statistically significant, indicating the pro-poor inequality in the incidence and severity of long-term care need. Decomposition analyses revealed that family income, education attainment, aging, and childhood experience played a significant role in explaining the inequalities. Conclusions: The long-term care need among older adults with chronic disease is high in China and low socioeconomic groups had a higher probability of needing long-term care or need more long-term care. It is urgent to implement long-term care insurance, especially for the individuals from lower socioeconomic groups.

Frailty Confers High Mortality Risk across Different Populations: Evidence from an Overview of Systematic Reviews and Meta-Analyses

We performed an overview of systematic reviews and meta-analyses to summarize available data regarding the association between frailty and all-cause mortality. Medline, Embase, CINAHL, Web of Science, PsycINFO, and AMED (Allied and Complementary Medicine) databases were searched until February 2020 for meta-analyses examining the association between frailty and all-cause mortality. The AMSTAR2 checklist was used to evaluate methodological quality. Frailty exposure and the risk of all-cause mortality (hazard ratio [HR] or relative risk [RR]) were displayed in forest plots. We included 25 meta-analyses that pooled data from between 3 and 20 studies. The number of participants included in these meta-analyses ranged between <2000 and >500,000. Overall, 56%, 32%, and 12% of studies were rated as of moderate, low, and critically low quality, respectively. Frailty was associated with increased risk of all-cause mortality in 24/24 studies where the HR/RRs ranged from 1.35 [95% confidence interval (CI) 1.05-1.74] (patients with diabetes) to 7.95 [95% CI 4.88-12.96] (hospitalized patients). The median HR/RR across different meta-analyses was 1.98 (interquartile range 1.65-2.67). Pre-frailty was associated with a significantly increased risk of all-cause mortality in 7/7 studies with the HR/RR ranging from 1.09 to 3.65 (median 1.51, IQR 1.38-1.73). These data suggest that interventions to prevent frailty and pre-frailty are needed.

Association of Hospital Readmissions and Survivability With Frailty and Palliative Performance Scores Among Long-Term Care Residents

BACKGROUND

Frailty and palliative performance scores are 2 markers used in the measurement of functional decline in oncology and hospice care.

OBJECTIVE

To evaluate the frailty and palliative performance scores of a long-term care resident community and determine whether frailty and palliative performance scores can predict hospital readmissions (HR) and survivability of the long-term care resident.

METHODS

One hundred seventy-one long-term care residents from 2 urban facilities were evaluated for functional decline using the Clinical Frailty Scale (CFS) and Palliative Performance Scale (PPS). Sociodemographic, HR, and survival data for 1 year from study initiation were recorded.

RESULTS

The 171 long-term care residents, of lower socioeconomic status, primarily Medicare/Medicaid or dual-eligible, evaluated for functional decline using the CFS and PPS, had mean age of 73.1 years, 52.6% female, 94.7% African American, with 18.1% having HR and 87.1% surviving more than a year. There was a negative association between age and HR (P = .384). Among functional evaluation scales, CFS was positively associated with age (P = .013) but not PPS (P = .673). The residents scored 6.0 ± 1.2 on CFS and 52.8 ± 13.2 on PPS (%) with those residents readmitted to hospital having poorer outcomes. Readmission to hospital and survivability of the long-term care resident were both strongly associated with CFS (P = .001) and PPS (P = .001).

CONCLUSION

There is a strong association between the 2 markers used in the measurement of functional decline-Frailty measured by CFS and Palliative Performance Score measured by PPS. Frailty and palliative performance scores can strongly predict HR and survivability of the long-term care resident.