Frailty Index in Europeans: association with determinants of health

Lifestyle, environment and other major determinants of frailty in older adults: a population-based study from the UK Biobank

Frailty is a geriatric multidimensional syndrome characterized by a loss of physiologic reserves and disproportionate vulnerability to external stressors and associated with increased risk of multiple negative health outcomes. Since frailty can be prevented, controlled, and even reverted in its early stages, identifying the main factors involved in its development is crucial to implement preventive and/or restorative interventions. The aim of this study was to assess the impact of a broad range of parameters, including host factors, lifestyle, diet, and environmental and occupational conditions, on the development of frailty in later life. A cross-sectional study was conducted on 221,896 individuals aged 60 and over classified as non-frail (119,332, 53.8%), pre-frail (93,180, 42.0%), and frail (9384, 4.2%) according to the frailty phenotype. Using principal component analysis and machine learning to streamline the data, significant associations were found between frailty risk and air quality, diet, smoking, working conditions, and heavy alcohol consumption. Early-life factors, including breastfed as a baby and maternal smoking around birth, also emerged as predictors of frailty, which was further characterized by clinical indicators like polypharmacy, levels of C-reactive protein and other biomarkers of inflammageing. This study provided robust and original evidence on the association between a large battery of potential risk factors, from early to later stages of life, and the occurrence of frailty in older age. These results will contribute to the development of effective prevention strategies and facilitate the early detection of individuals at high risk of developing frailty.

Association of childhood and adulthood socioeconomic status with frailty index trajectories: Using five-wave panel data from the China Health and Retirement Longitudinal Study (CHARLS)

BACKGROUND

The relationship between childhood and adulthood socioeconomic status (SES) and long-term frailty trajectories is unclear. We aimed to assess the frailty index (FI) dynamic trajectories and examine the associations between childhood and adulthood SES and frailty trajectories.

METHODS

We included 7321 participants aged 45 and older from the 2011-2020 China Health and Retirement Longitudinal Study (CHARLS). Six childhood SES factors and four adulthood SES factors were included. Group-based trajectory modelling was used to identify frailty trajectories and multinomial logistic regression was used to assess the association between SES and frailty trajectories.

RESULTS

Three frailty trajectory groups were identified: low-increase trajectory (LT, 59.9 %), moderate-increase trajectory (MT, 31.7 %) and high-increase trajectory (HT, 8.4 %). With the LT group as reference, for childhood SES, participants with an illiterate mother (relative-risk radio [RRR]=1.67, 95 % confidence interval [CI]: 1.10-2.52), having not enough food (1.67, 1.34-2.09), with family's financial situation (2.35, 1.61-3.42) and childhood health status (2.72, 2.09-3.53) worse than others had higher odds of being in the HT group. For adulthood SES, rural residence (1.86, 1.50-2.31), with an educational level of less than middle school (2.75, 1.83-4.15), had higher odds of being in the HT group. Similar results were found for people of different ages, genders, and residences.

CONCLUSIONS

Participants with lower SES, including maternal and self- low education, childhood hunger, worse family financial and childhood health status are more likely to experience a high-increase FI trajectory, i.e. aging faster. Attention should be paid to reduce early-life social inequalities thus to promote later-time healthy aging.

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.

Prevalence and Factors Associated With Frailty Among Community-Dwelling Middle-Aged and Older Adults in Malaysia

Frailty is identified in middle-aged and older adults, and frail individuals are vulnerable to dependency and poor health. In this study, we analyzed nationally representative data that includes 5592 participants aged 40 years and above to determine the prevalence and factors associated with frailty among community-dwelling middle-aged and older adults in Malaysia. Using a 40-item Frailty Index, the overall prevalence of frailty and prefrailty was 19.5% and 64.1%, respectively. A total of 38.6% of older adults (≥60 years) were frail and 56.2% were prefrail. Among middle-aged adults (<60 years), the prevalence of frailty was 10.4% and that of prefrailty was 67.9%. Factors associated with frailty include older age, ethnicity, low education and income level, moderate to poor self-rated health, abdominal obesity, absence of a spouse, and previous history of falls. These findings may serve as evidence for the implementation of a frailty policy and health care planning in Malaysia.

Pre-frailty after blood or marrow transplantation and the risk of subsequent mortality

We examined the prevalence, risk factors, and association between pre-frailty and subsequent mortality after blood or marrow transplantation (BMT). Study participants were drawn from the BMT Survivor Study (BMTSS) and included 3346 individuals who underwent BMT between 1974 and 2014 at one of three transplant centers and survived ≥2 years post-BMT. Participants completed the BMTSS survey at a median of 9 years from BMT and were followed for subsequent mortality for a median of 5 years after survey completion. Closest-age and same-sex biological siblings also completed the survey. Previously published self-reported indices (exhaustion, weakness, low energy expenditure, slowness, unintentional weight loss) classified participants as non-frail (0-1 indices) or pre-frail (2 indices). National Death Index was used to determine vital status and cause of death. Overall, 626 (18.7%) BMT survivors were pre-frail. BMT survivors had a 3.2-fold higher odds of being pre-frail (95% CI = 1.9-5.3) compared to siblings. Compared to non-frail survivors, pre-frail survivors had higher hazards of all-cause mortality (adjusted hazard ratio [aHR] = 1.6, 95% CI = 1.4-2.0). Female sex, pre-BMT radiation, smoking, lack of exercise, anxiety, and severe/life-threatening chronic health conditions were associated with pre-frailty. The novel association between pre-frailty and subsequent mortality provides evidence for interventions as pre-frail individuals may transition back to their robust state.

Comparison of frailty determinants in Latin America: a national representative study in Brazil and Chile

OBJECTIVE

This study aimed to compare the prevalence and socio-economic determinants of frailty in older adults in Brazil and Chile using nationally representative survey data.

STUDY DESIGN

Analytical research using data from the Brazilian Longitudinal Study of Aging (ELSI) and the Chilean National Health Survey (ENS) conducted in Brazil and Chile between 2015 and 2017.

METHODS

The study included 5484 older adults aged 60 years or older in Brazil and 2031 in Chile. Frailty was measured using the FRAIL index, and logistic regression models were used to identify the determinants of frailty.

RESULTS

The prevalence of frailty is 15.6% and 12.6% in Brazil and Chile, respectively. Frailty is associated with several factors, including age, sex, living alone, residing in urban areas, and decreased life satisfaction. However, the analysis revealed notable differences between countries. A greater number of significant variables were associated with frailty in Brazil, whereas Chile displayed fewer categories with significant odds. Health insurance had no significant effect in either of the two countries.

CONCLUSIONS

The limitations in data sources and methodologies make it challenging to compare frailty determinants in Latin America. This study overcomes these barriers and shows that, even within the same region, significant differences exist. Levels and characteristics that are important in one country may not be so in another. The results emphasize the need to consider contextual factors in the implementation of emerging social and healthcare policies, such as home-based long-term care.

The Association of Frailty and Neighborhood Disadvantage with Emergency Department Visits and Hospitalizations in Older Adults

BACKGROUND

Risk stratification and population management strategies are critical for providing effective and equitable care for the growing population of older adults in the USA. Both frailty and neighborhood disadvantage are constructs that independently identify populations with higher healthcare utilization and risk of adverse outcomes.

OBJECTIVE

To examine the joint association of these factors on acute healthcare utilization using two pragmatic measures based on structured data available in the electronic health record (EHR).

DESIGN

In this retrospective observational study, we used EHR data to identify patients aged ≥ 65 years at Atrium Health Wake Forest Baptist on January 1, 2019, who were attributed to affiliated Accountable Care Organizations. Frailty was categorized through an EHR-derived electronic Frailty Index (eFI), while neighborhood disadvantage was quantified through linkage to the area deprivation index (ADI). We used a recurrent time-to-event model within a Cox proportional hazards framework to examine the joint association of eFI and ADI categories with healthcare utilization comprising emergency visits, observation stays, and inpatient hospitalizations over one year of follow-up.

KEY RESULTS

We identified a cohort of 47,566 older adults (median age = 73, 60% female, 12% Black). There was an interaction between frailty and area disadvantage (P = 0.023). Each factor was associated with utilization across categories of the other. The magnitude of frailty's association was larger than living in a disadvantaged area. The highest-risk group comprised frail adults living in areas of high disadvantage (HR 3.23, 95% CI 2.99-3.49; P < 0.001). We observed additive effects between frailty and living in areas of mid- (RERI 0.29; 95% CI 0.13-0.45; P < 0.001) and high (RERI 0.62, 95% CI 0.41-0.83; P < 0.001) neighborhood disadvantage.

CONCLUSIONS

Considering both frailty and neighborhood disadvantage may assist healthcare organizations in effectively risk-stratifying vulnerable older adults and informing population management strategies. These constructs can be readily assessed at-scale using routinely collected structured EHR data.

An association study of cyclase-associated protein 2 and frailty

Frailty is a geriatric syndrome that results from multisystem impairment caused by age-associated accumulation of deficits. The frailty index is used to define the level of frailty. Several studies have searched for molecular biomarkers associated with frailty, to meet the needs for personalized care. Cyclase-associated protein 2 (CAP2) is a multifunctional actin-binding protein involved in various physiological and pathological processes, that might reflect frailty's intrinsic complexity. This study aimed to investigate the association between frailty index and circulating CAP2 concentration in 467 community-dwelling older adults (median age: 79; range: 65-92 years) from Milan, Italy. The selected robust regression model showed that circulating CAP2 concentration was not associated with chronological age, as well as sex and education. However, circulating CAP2 concentration was significantly and inversely associated with the frailty index: a 0.1-unit increase in frailty index leads to ~0.5-point mean decrease in CAP2 concentration. Furthermore, mean CAP2 concentration was significantly lower in frail participants (i.e., frailty index ≥0.25) than in non-frail participants. This study shows the association between serum CAP2 concentration and frailty status for the first time, highlighting the potential of CAP2 as a biomarker for age-associated accumulation of deficits.

Progression of frailty as measured by a cumulative deficit index: A systematic review

BACKGROUND

Frailty is a risk factor for adverse health outcomes. There is a paucity of literature on frailty progression defined by a cumulative deficit model among community dwelling older people. The objective of this review was to synthesise evidence on these changes in health and mortality among community-dwelling older people.

METHODS

Six databases (Medline, Embase, CINAHL, Cochrane, PsycInfo, Web of Science) and a clinical trials registry were searched in July 2021. The inclusion criteria were studies using a frailty index and providing information on transition between frailty states or to death in community-dwelling older people aged ≥ 50. Exclusion criteria were studies examining specific health conditions, conference abstracts and non-English studies. To standardise the follow-up period and facilitate comparison, we converted the transition probabilities to annual transition rates.

RESULTS

Two reviewers independently screened 5078 studies and 61 studies were included for analysis. Of these, only three used the same frailty state cut-points to facilitate cross-cohort comparison. This review found that frailty tends to increase with time, people who are frail at baseline have greater likelihood to progress in frailty and die, and the main factor that accelerates frailty progression is age. Other risk factors for progression are having chronic disease, smoking, obesity, low-income or/and low-education levels. A frailty index is an accurate predictor of adverse outcomes and death.

DISCUSSION

This systematic review demonstrated that worsening in frailty was a common frailty transition, and older people who are frail at baseline are more likely to die. A frailty index has significant power to predict adverse health outcomes. It is a useful tool for within-cohort comparison but there are challenges comparing different cohorts due to dependence of frailty progression on age and differences in how frailty index is defined and measured.

Frailty trajectories and associated factors in the years prior to death: evidence from 14 countries in the Survey of Health, Aging and Retirement in Europe

BACKGROUND

Age-related changes in frailty have been documented in the literature. However, the evidence regarding changes in frailty prior to death is scarce. Understanding patterns of frailty progression as individuals approach death could inform care and potentially lead to interventions to improve individual's well-being at the end of life. In this paper, we estimate the progression of frailty in the years prior to death.

METHODS

Using data from 8,317 deceased participants of the Survey of Health, Ageing, and Retirement in Europe, we derived a 56-item Frailty Index. In a coordinated analysis of repeated measures of the frailty index in 14 countries, we fitted growth curve models to estimate trajectories of frailty as a function of distance to death controlling both the level and rate of frailty progression for age, sex, years to death and dementia diagnosis.

RESULTS

Across all countries, frailty before death progressed linearly. In 12 of the 14 countries included in our analyses, women had higher levels of frailty close to the time of death, although they progressed at a slower rate than men (e.g. Switzerland (-0.008, SE = 0.003) and Spain (-0.004, SE = 0.002)). Older age at the time of death and incident dementia were associated with higher levels and increased rate of change in frailty, whilst higher education was associated with lower levels of frailty in the year preceding death (e.g. Denmark (0.000, SE = 0.001)).

CONCLUSION

The progression of frailty before death was linear. Our results suggest that interventions aimed at slowing frailty progression may need to be different for men and women. Further longitudinal research on individual patterns and changes of frailty is warranted to support the development of personalized care pathways at the end of life.

Inequalities in Frailty Among Older Turkish and Moroccan Immigrants and Native Dutch: Data from the Longitudinal Aging Study Amsterdam

Very few studies have investigated frailty among older immigrants in Europe. The aim of the current study was to investigate inequalities in frailty in young-olds related to gender, educational level and country of origin, as well as intersections between these characteristics. Cross-sectional data were used from older Turkish and Moroccan immigrants (n = 466) and native Dutch (n = 1,020), all aged 55-65 years and participating in the Longitudinal Aging Study Amsterdam. Frailty was assessed with a 30-item frailty index, based on the deficit accumulation approach. Frailty was higher among women, lower educated, and people with a migration background. Of all groups considered, frailty levels were the highest among Turkish immigrants. No statistically significant interaction effects between gender, educational level and country of origin were found. When targeting frailty interventions, special attention should be devoted to older immigrants, as they are the most vulnerable group with the highest frailty levels.

The Predictability of Frailty Associated with Musculoskeletal Deficits: A Longitudinal Study

We investigated and quantified the predictability of frailty associated with musculoskeletal parameters. This longitudinal study included 287 men aged ≥ 50 yr at baseline (2001-2006) from the Geelong Osteoporosis Study. Baseline musculoskeletal measures included femoral neck bone mineral density (BMD), appendicular lean mass index (ALMI, kg/m²) and whole-body fat mass index (FMI, kg/m²) and lower-limb strength. Frailty at the 15 yr-follow-up (2016-2019) was defined as ≥ 3 and non-frail as < 3, of the following: unintentional weight loss, weakness, low physical activity, exhaustion, and slowness. Binary regression models and AUROC curves quantified the attributable risk of musculoskeletal factors to frailty and their predictive ability. Potential confounders included anthropometry, smoking, alcohol, FMI, socioeconomic status and comorbidities. Forty-eight (16.7%) men were frail at 15 yr-follow-up. Musculoskeletal models were better predictors of frailty compared to the referent (confounders only) model (AUROC for musculoskeletal factors 0.74 vs 0.67 for the referent model). The model with the highest AUROC (0.74; 95% CI 0.66-0.82) included BMD, ALMI and muscle strength (hip abductors) and was better than the referent model that included only lifestyle factors (p = 0.046). Musculoskeletal parameters improved the predictability model as measured by AUROC for frailty after 15 years. In general, muscle models performed better compared to bone models. Musculoskeletal parameters improved the predictability of frailty of the referent model that included lifestyle factors. Muscle deficits accounted for a greater proportion of the risk for frailty than did bone deficits. Targeting musculoskeletal health could be a possible avenue of intervention in regards to frailty.

The relationship between deprivation and frailty trajectories over 1 year and at the end of life: a case-control study

BACKGROUND

We investigated the association between area-level, multi-domain deprivation and frailty trajectories in the last year of life and over 1 year in a matched non-end-of-life sample.

METHODS

A 1-year longitudinal case-control study using primary care electronic health records from 20 460 people age ≥ 75. Cases (died 1 January 2015 to 1 January 2016) were 1:1 matched to controls by age, sex and practice location. Monthly interval frailty measured using a 36-item electronic frailty index (eFI: range 0-1, lower scores mean less frailty). Deprivation measured using Index of Multiple Deprivation (IMD) quintiles. We used latent growth curves to model the relationship between IMD and eFI trajectory.

RESULTS

Living in a less deprived area was associated with faster increase in eFI for cases (0.005% per month, 95%confidence interval [CI]: 0.001, 0.010), but not controls, and was associated with lower eFI at study baseline in cases (-0.29% per IMD quintile, 95%CI -0.45, -0.13) and controls (-0.35% per quintile, 95%CI -0.51, -0.20).

CONCLUSIONS

Overall, greater area-level deprivation is associated with higher levels of frailty, but people who survive to ≥75 have similar 1-year frailty trajectories, regardless of area-level deprivation. Interventions to reduce frailty should target younger age groups, especially those living in the most deprived areas.

Frailty index transitions over eight years were frequent in The Irish Longitudinal Study on Ageing

Background: The frailty index (FI) is based on accumulation of health deficits. FI cut-offs define non-frail, prefrail and frail states. We described transitions of FI states in The Irish Longitudinal Study on Ageing (TILDA).

Methods: Participants aged ≥50 years with information for a 31-deficit FI at wave 1 (2010) were followed-up over four waves (2012, 2014, 2016, 2018). Transitions were visualized with alluvial plots and probabilities estimated with multi-state Markov models, investigating the effects of age, sex and education.

Results: 8174 wave 1 participants were included (3744 men and 4430 women; mean age 63.8 years). Probabilities from non-frail to prefrail, and non-frail to frail were 18% and 2%, respectively. Prefrail had a 19% probability of reversal to non-frail, and a 15% risk of progression to frail. Frail had a 21% probability of reversal to prefrail and 14% risk of death. Being older and female increased the risk of adverse FI state transitions, but being female reduced the risk of transition from frail to death. Higher level of education was associated with improvement from prefrail to non-frail.

Conclusions: FI states are characterized by dynamic longitudinal transitions and frequent improvement. Opportunities exist for reducing the probability of adverse transitions.

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.

Association between Statins Prescribed for Primary and Secondary Prevention and Major Adverse Cardiac Events among Older Adults with Frailty: A Systematic Review

BACKGROUND

Statins reduce the risk of major adverse cardiovascular events (MACE), however their clinical benefit for primary and secondary prevention among older adults with frailty is uncertain. This systematic review investigates whether statins prescribed for primary and secondary prevention are associated with reduced MACE among adults aged ≥ 65 years with frailty.

METHODS

We conducted a systematic review of studies published between 1 January 1952 and 1 January 2019 in the MEDLINE, EMBASE, Scopus, Web of Science, Cochrane Library and International Pharmaceutical Abstracts databases. Studies that investigated the effect of statins on MACE among adults ≥ 65 years of age with a validated frailty assessment were included. Data were extracted from the papers as per a prepublished protocol, PROSPERO: CRD42019127486. Risk of bias was assessed using the Cochrane Risk of Bias in Non-Randomised Studies of Interventions tool.

RESULTS

Six cohort studies fulfilled the inclusion criteria; there were no randomised clinical trials. Among studies evaluating the association between statins for primary and secondary prevention and mortality, one study found statins were associated with reduced mortality (hazard ratio [HR] 0.58, 95% confidence interval [CI] 0.37-0.93), while another study found they were not (HR 0.81, 95% CI 0.61-1.08). Furthermore, one study of statins used for secondary prevention found they were associated with reduced mortality (HR 0.28, 95% CI 0.21-0.39). No studies investigated the effect of statins for primary prevention or the effect of statins on the frequency of MACE.

CONCLUSION

This review identified only observational evidence that among older people with frailty, statins are associated with reduced mortality when prescribed for secondary prevention, and an absence of evidence evaluating statin therapy for primary prevention. Randomised trial data are needed to better inform the use of statins among older adults living with frailty.

Prevalence of Frailty in Older Men and Women: Cross-Sectional Data from the Geelong Osteoporosis Study

Few studies have investigated the prevalence of frailty in the Australian general population. This study determined the prevalence of frailty in a population-based sample of older adults and examined the relationship between frailty and comorbid conditions. Men (n = 347) and women (n = 360) aged ≥ 60 year from the Geelong Osteoporosis Study (GOS) were assessed between 2016-2019 and 2011-2014, respectively. Frailty was identified using a modified Fried frailty phenotype. Prevalence estimates were standardised to the 2011 Australian population. Kruskal-Wallis test and χ² test were used to analyse data. For women, mean standardised prevalence estimates were 18.3% (14.1-22.5) for frail, 54.1% (47.3-60.8) pre-frail and 22.9% (18.9-26.8) robust. Corresponding estimates for men were 13.1% (9.8-16.3) frail, 47.8% (42.0-53.6) pre-frail and 27.3% (22.7-31.8) robust. Women who were frail were older, shorter, tended to have a higher body mass index (BMI) and used more medications compared to other groups. Compared to robust women, those who were frail were more likely to have cardio-metabolic (OR 3.5 (0.7-20.0)), pulmonary (OR 3.5 (1.5-8.4)) and musculoskeletal (OR 10.1 (2.1-48.0)) conditions. Frail men were older, had a higher BMI and were more likely to have musculoskeletal conditions (OR 5.8 (2.8-12.3)) and tended to be from a lower SES. No further associations were observed. This study reported the prevalence of frail and pre-frail individuals in a population-based sample of Australian men and women. Frailty was associated with musculoskeletal conditions for both men and women; however, associations with cardio-metabolic and pulmonary comorbidities were evident in women only.

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.

Frailty: A cost incurred by reproduction?

Evolutionary theories of senescence, such as the ‘disposable soma’ theory, propose that natural selection trades late survival for early fecundity. ‘Frailty’, a multidimensional measure of health status, may help to better define the long-term consequences of reproduction. We examined the relationship between parity and later life frailty (as measured by the Frailty Index) in a sample of 3,534 adults aged 65 years and older who participated in the English Longitudinal Study of Ageing. We found that the most parous adults were the most frail and that the parity-frailty relationship was similar for both sexes. Whilst this study provided some evidence for a ‘parity-frailty trade-off’, there was little support for our hypothesis that the physiological costs of childbearing influence later life frailty. Rather, behavioural and social factors associated with rearing many children may have contributed to the development of frailty in both sexes.

Season of birth, health and aging

We investigate how the season of birth is related to human health and aging. For this purpose, we use five waves of the Survey of Health, Aging, and Retirement in Europe (SHARE) dataset and construct a health deficit index for 21 European countries. Results from log-linear regressions suggest that, on average, elderly European men age faster when they were born in spring and summer (compared to autumn). At any given age, they have developed about 3.5 percent more health deficits. These differences due to seasons of birth are not mediated by body height and education. In a subsample of Southern European countries, where the seasonal variation of sunlight is smaller, the birth season plays an insignificant role for health in old age. In a subsample of Northern countries, in contrast, the season of birth coefficients increase. At any given age, elderly Northern European men born in spring have developed, on average, 8.7 percent more health deficits than those born in autumn. In non-linear regressions we find that the speed of aging is also associated with the birth season.

Collagens and elastin genetic variations and their potential role in aging-related diseases and longevity in humans

Collagens and elastin are 'building blocks' of tissues and extracellular matrix. Mutations in these proteins cause severe congenital syndromes. Adverse genetic variations may accelerate the aging process in adults contributing to premature morbidity, disability and/or mortality. Favorable variants may contribute to longevity and/or healthy aging, but this is much less studied. We reviewed the association between variation in the genes of collagens and elastin and premature aging, accelerated aging, age-related diseases and/or frailty; and the association between genetic variation in those and longevity and/or healthy aging in humans. A systematic search was conducted in MEDLINE and other online databases (OMIM, Genetics Home Reference, Orphanet, ClinVar). Results suggest that genetic variants lead to aging phenotypes of known congenital disease, but also to association with common age-related diseases in adults without known congenital disease. This may be due to the variable penetrance and expressivity of many variants. Some collagen variants have been associated with longevity or healthy aging. A limitation is that most studies had <1000 participants and their criterion for statistical significance was p < 0.05. Results highlight the importance of adopting a lifecourse approach to the study of the genomics of aging. Gerontology can help with new methodologies that operationalize biological aging.

The Frailty Index in centenarians and their offspring

Frailty has been indicated as a way for capturing biological aging of the individual and Frailty Index (FI) may serve for this purpose. This study designed the FI in a cohort of centenarians, their offspring and control subjects sex- and age-matched with offspring. The FI mean value was 0.47 (SD 0.13) in centenarians, 0.15 (SD 0.12) in their offspring, and 0.22 (SD 0.14) in controls (p < 0.001). The difference between offspring and controls was statistically significant (p = 0.003). The correlation between FI and age was significant in offspring (r = 0.46, p < 0.001), close to significance in controls (r = 0.25, p = 0.08) and not significant in centenarians. Our study confirms that FI is a marker of biological age useful to discriminate different degrees of frailty even at extremely advanced age.

The accumulation of deficits approach to describe frailty

The advancing age of the participants of the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study was the incentive to investigate frailty as a major parameter of ageing. The aim of this study was to develop a multidimensional tool to measure frailty in an ageing, free-living study population. The "accumulation of deficits approach" was used to develop a frailty index (FI) to characterize a sub-sample (N = 815) of the EPIC-Potsdam (EPIC-P) study population regarding the aging phenomenon. The EPIC-P frailty index (EPIC-P-FI) included 32 variables from the following domains: health, physical ability, psychosocial and physiological aspects. P-values were calculated for the linear trend between sociodemographic and life style variables and the EPIC-P-FI was calculated using regression analysis adjusted for age. The relationship between the EPIC-P-FI and age was investigated using fractional polynomials. Some characteristics such as age, education, time spent watching TV, cycling and a biomarker of inflammation (C-reactive protein) were associated with frailty in men and women. Interestingly, living alone, having no partner and smoking status were only associated with frailty in men, and alcohol use and physical fitness (VO2max) only in women. The generated, multidimensional FI, adapted to the EPIC-P study, showed that this cohort is a valuable source for further exploration of factors that promote healthy ageing.

Associations between the SHARE frailty phenotype and common frailty characteristics: evidence from a large Danish population study

OBJECTIVES

Frailty is a major clinical geriatric syndrome associated with serious adverse events including functional disability, falls, hospitalisation, increased morbidity and mortality. The aim of this study was to study associations between a frailty phenotype and frailty characteristics well known from the literature.

DESIGN

Registry-based cross-sectional study.

SETTING

The target population consists of inhabitants above the age of 50 living in the Danish municipalities of Lolland and Guldborgsund. Excluded are incapacitated people, inhabitants unable to understand Danish or English and inhabitants without a permanent residence.

PARTICIPANTS

7327 individuals aged 50+ years were included.

OUTCOME MEASURES

We examined associations between the frailty measurement and factors known to be associated with frailty: sex, age, income insufficiency, education, comorbidity, self-assessed health, morbidity and mortality.

RESULTS

7327 individuals aged 50+ years were included. Of these, 6.5% had ≥3 frailty components (frail), 46.7% had 1-2 components (prefrail) and 46.9% had none (non-frail). Those who were frail were older and more likely female than those who were non-frail or prefrail. There was a stepwise decrease in educational level, and in self-assessed health with increasing frailty status, and a stepwise increase in difficulty in making ends meet, number of hospital contacts and mortality with increasing frailty status, p<0.0001 for each comparison. Compared with individuals who were non-frail, mortality was higher among those who were prefrail (HR: 2.90; 95% CI: 1.30 to 6.43) or frail (HR: 8.21; 95% CI: 3.37 to 20.0).

CONCLUSIONS

Based on these findings, we consider the Lolland-Falster Health Study frailty assessment a valid instrument demonstrating the same characteristics as other validated frailty measures concerning associations with sex, age, income insufficiency, education, comorbidity, self-assessed health, morbidity and mortality.

TRIAL REGISTRATION NUMBER

NCT02482896.

Frailty, inequality and resilience

Frailty is a common condition in later life in which minor stressors may result in major changes in health. While the biological mechanisms of frailty are increasingly understood, relationships with the wider determinants of health, health inequalities and the concept of resilience are less well-established and the role of the clinician in their modification is less well understood.The wider determinants are the modifiable conditions in which people are born, grow, work and live, and the wider set of systems shaping the conditions of daily life. They interact across the life course, driving a well-recognised social gradient in health. The wider determinants are closely linked to the concept of resilience, which is the process of effectively negotiating, adapting to or managing significant sources of stress or trauma. Better recognition of the relationship between frailty, the wider determinants, inequalities and resilience can enable a framework around which policy responses may be developed to build resilience in people living with frailty at an individual and community level as well as enabling clinicians to better identify how they may support their patients.

Being born in the aftermath of World War II increases the risk for health deficit accumulation in older age: results from the KORA-Age study

Morbidity trends may result from cohort experiences in critical developmental age. Our objective was to compare the health status of 65-71 year-olds who were in critical developmental age before (1937-June 1945), during (June 1945-June 1948) and after (June 1948-1950) the early reconstruction and food crisis (ERFC) period in Germany following World War II. Data originate from the KORA (Cooperative Health Research in the Region of Augsburg)-Age study in Southern Germany. We used the 2008 baseline sample born 1937-1943 and the 2015 enrichment sample born 1944-1950. Health status was assessed as the number of accumulated health deficits using a Frailty Index (FI). Cohorts were defined based on co-occurrence of critical developmental age (gestation and the first 2 years of life) and the ERFC period. Cohort, age and sex effects on older-age health status were analyzed using generalized linear models. We included 590 (53% male) pre-war and war (PWW), 475 (51% male) ERFC and 171 post-currency reform (PCR) cohort participants (46% male). Adjusted for covariates, FI levels were significantly higher for the ERFC (Ratio 1.14, CL [1.06, 1.23]) but not for the PCR (Ratio 1.06, CL [0.94, 1.20]) as compared to the PWW cohort. Being in critical developmental age during the ERFC period increased FI levels in adults aged 65-71 years. Covariates did not explain these effects, suggesting a direct detrimental effect from being in critical developmental age during the ERFC period on older-age health. This expansion of morbidity in Germany was not detected in the PCR cohort.

Testing the Grossman model of medical spending determinants with macroeconomic panel data

Michael Grossman's human capital model of the demand for health has been argued to be one of the major achievements in theoretical health economics. Attempts to test this model empirically have been sparse, however, and with mixed results. These attempts so far relied on using-mostly cross-sectional-micro data from household surveys. For the first time in the literature, we bring in macroeconomic panel data for 29 OECD countries over the period 1970-2010 to test the model. To check the robustness of the results for the determinants of medical spending identified by the model, we include additional covariates in an extreme bounds analysis (EBA) framework. The preferred model specifications (including the robust covariates) do not lend much empirical support to the Grossman model. This is in line with the mixed results of earlier studies.

Wealth and occupation determine health deficit accumulation onset in Europe - Results from the SHARE study

While socio-economic characteristics have been shown to be associated with health deficit accumulation (DA) trajectories, their effect on the age at DA onset remains unclear. The objective of this study was to compare the median age at DA onset across nine European countries and to investigate the effects of income, occupation and wealth on DA onset after age 50. We used population samples aged 50 years and older from the SHARE (Survey of Health, Aging and Retirement in Europe) study. Participants from nine European countries with longitudinal data from at least three of the 2004/05, 2006/07, 2010/11, 2012/13 and 2014/15 waves were included in the analysis. A Frailty Index (FI, range 0-1) was constructed from 50 health deficits. DA onset was defined as having FI values > 0.08 in at least two consecutive measurements following an initial FI value ≤ 0.08. We investigated the effect of income, occupation and wealth on DA onset using a random effects model for time-to-event data. Potential confounding variables were identified using directed acyclic graphs. Out of 8616 (mean age 62 years, 49.0% female) participants initially at risk, 2640 (30.6%) experienced a subsequent DA onset. Median age at onset was 71 years overall, ranging from 66 years (Germany) to 76 years (Switzerland). Wealth and occupation were found to have significant effects on DA onset which decreased with age. In sum, the median age at DA onset differs between European countries. On an individual-level, wealth and occupation, but not income influence the age at DA onset.

Tracking changes in frailty throughout later life: results from a 17-year longitudinal study in the Netherlands

Background

to better understand the development of frailty with ageing requires longitudinal studies over an extended time period.

Objective

to investigate changes in the degree of frailty during later life, and the extent to which changes are determined by socio-demographic characteristics.

Methods

six measurement waves of 1,659 Dutch older adults aged 65 years and over in the Longitudinal Aging Study Amsterdam (LASA) yielded 5,211 observations over 17 years. At each wave, the degree of frailty was measured with a 32-item frailty index (FI), employing the deficit accumulation approach. Socio-demographic characteristics included age, sex, educational level and partner status. Generalized Estimating Equation (GEE) analyses were performed to study longitudinal frailty trajectories.

Results

higher baseline FI scores were observed in older people, women, and those with lower education or without partner. The overall mean FI score at baseline was 0.17, and increased to 0.39 after 17 years. The average doubling time in the number of deficits was 12.6 years, and this was similar in those aged 65-74 years and those aged 75+. Partner status was associated with changes over time in FI score, whereas sex and educational level were not.

Conclusions

this longitudinal study showed that the degree of frailty increased with ageing, faster than the age-related increase previously observed in cross-sectional studies. Even so, the rate of deficit accumulation was relatively stable during later life.

Explaining the impact of poverty on old-age frailty in Europe: material, psychosocial and behavioural factors

Background

Previous research found poverty to be associated with adverse health outcomes among older adults but the factors that translate low economic resources into poor physical health are not well understood. The goal of this analysis was to assess the impact of material, psychosocial, and behavioural factors as well as education in explaining the poverty-health link.

Methods

In total, 28 360 observations from 11 390 community-dwelling respondents (65+) in the Survey of Health, Ageing and Retirement in Europe (2004-13, 10 countries) were analysed. Multilevel growth curve models were used to assess the impact of combined income and asset poverty risk on old-age frailty (frailty index) and associated pathway variables.

Results

In total, 61.8% of the variation of poverty risk on frailty level was explained by direct and indirect effects. Results stress the role of material and particularly psychosocial factors such as perceived control and social isolation, whereas the role of health behaviour was negligible.

Conclusion

We suggest to strengthen social policy and public health efforts in order to fight poverty and its deleterious health effects from early age on as well as to broaden the scope of interventions with regard to psychosocial factors.

Hungry children age faster

We analyze how childhood hunger affects human aging for a panel of European individuals. For this purpose, we use six waves of the Survey of Health, Aging, and Retirement in Europe (SHARE) dataset and construct a health deficit index. Results from log-linear regressions suggest that, on average, elderly European men and women developed about 20 percent more health deficits when they experienced a hunger episode in their childhood. The effect becomes larger when the hunger episode is experienced earlier in childhood. In non-linear regressions (akin to the Gompertz-Makeham law), we obtain greater effects suggesting that health deficits in old age are up to 40 percent higher for children suffering from hunger. The difference of health deficits between hungry and non-hungry individuals increases absolutely and relatively with age. This implies that individuals who suffered from hunger as children age faster.

How We Fall Apart: Similarities of Human Aging in 10 European Countries

We analyze human aging—understood as health deficit accumulation—for a panel of European individuals, using four waves of the Survey of Health, Aging and Retirement in Europe (SHARE data set) and constructing a health deficit index. Results from log-linear regressions suggest that, on average, elderly European men and women develop approximately 2.5 % more health deficits from one birthday to the next. In nonlinear regressions (akin to the Gompertz-Makeham model), however, we find much greater rates of aging and large differences between men and women as well as between countries. Interestingly, these differences follow a particular regularity (akin to the compensation effect of mortality) and suggest an age at which average health deficits converge for men and women and across countries. This age, which may be associated with human life span, is estimated as 102 ± 2.6 years.

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

BACKGROUND

So far, it has not yet been studied whether socioeconomic status is associated with distinct frailty components and for which frailty component this association is the strongest. We aimed to examine the association between socioeconomic status and frailty and frailty components. In addition we assessed the mediating effect of the number of morbidities on the association between socioeconomic status and other frailty components.

METHODS

This is a cross-sectional study of pooled data of The Older Persons and Informal Caregivers Survey Minimum DataSet in the Netherlands among community-dwelling persons aged 55 years and older (n = 26,014). Frailty was measured with a validated Frailty Index that consisted of 45 items. The Frailty Index contained six components: morbidities, limitations in activities of daily living (ADL), limitations in instrumental ADL (IADL), health-related quality of life, psychosocial health and self-rated health. Socioeconomic indicators used were education level and neighbourhood socioeconomic status.

RESULTS

Persons with primary or secondary education had higher overall frailty and frailty component scores compared to persons with tertiary education (P < .001). Lower education levels were most consistently associated with higher overall frailty, more morbidities and worse self-rated health (P < .05 in all age groups). The strongest association was found between primary education and low psychosocial health for persons aged 55-69 years and more IADL limitations for persons aged 80+ years. Associations between neighborhood socioeconomic status and frailty (components) also showed inequalities, although less strong. The number of morbidities moderately to strongly mediated the association between socioeconomic indicators and other frailty components.

CONCLUSION

There are socioeconomic inequalities in frailty and frailty components. Inequalities in frailty, number of morbidities and self-rated health are most consistent across age groups. The number of morbidities a person has play an important role in explaining socioeconomic inequalities in frailty and should be taken into account in the management of frailty.

Socioeconomic Inequalities in Frailty among Older Adults: Results from a 10-Year Longitudinal Study in the Netherlands

BACKGROUND

Frailty is an important risk factor for adverse outcomes in older people. Substantial variation in frailty prevalence between socioeconomic groups exists, but longitudinal evidence for the association between socioeconomic position (SEP) and frailty is scarce.

OBJECTIVE

To investigate the course of socioeconomic inequalities in frailty among older adults during 10 years of follow-up.

METHODS

Data were used from the Longitudinal Aging Study Amsterdam (n = 1,509). Frailty was measured with the functional domains approach, based on deficiencies in four domains: physical, nutritive, cognitive, and sensory. Mixed-model analyses were performed to estimate the course of frailty and its association with SEP during a 10-year follow-up. We investigated whether similar patterns of associations held in different scenarios, comparing results of survivor analyses with those based on two imputation methods accounting for dropout due to death (substitution of first missing value and missing values imputed with a prediction model).

RESULTS

All scenarios showed a linear increase in frailty with aging (survivor analyses OR = 1.87, 95% CI = 1.66-2.11) and associations of low education and low income with frailty (adjusted OR for low education = 1.76, 95% CI = 1.05-2.97; adjusted OR for low income = 1.90, 95% CI = 1.20-3.01; both for survivor analyses). Sex-stratified analyses indicated that socioeconomic inequalities were mainly present in men, not in women. Similar patterns of associations of SEP with frailty were observed in all scenarios, but the increase in frailty prevalence over time differed substantially between the scenarios. There were no statistically significant interactions between time and SEP on frailty (all scenarios), suggesting that inequalities in frailty did not increase or decrease during follow-up.

CONCLUSION

SEP inequalities in frailty among older adults were observed, mainly among men, and persisted during 10 years of follow-up.

Male sex and poverty predict abrupt health decline: Deficit accumulation patterns and trajectories in the KORA-Age cohort study

Ageing individuals differ both in their deficit accumulation (DA) trajectories and resulting DA patterns (improvement, stability, gradual or abrupt decline). This heterogeneity is still incompletely understood. The objectives of this study were thus to identify determinants of DA trajectories and DA patterns in people aged 65 and older. Data originates from the 2009 baseline assessment and 2012 follow-up of the KORA (Cooperative Health Research in the Region of Augsburg)-Age study from Southern Germany. DA was measured with a Frailty Index (FI). The effects of socio-demographic, socio-economic and lifestyle factors were analyzed using generalized linear mixed models and multinomial regressions. FI scores were available for 1076 participants at baseline (mean age 76years, 50% female) and 808 participants at follow-up. Higher baseline FI levels were significantly associated with higher age, female sex, lower physical activity, moderate alcohol consumption and obesity. Longitudinal increase in FI levels over 3years was 31% (CL: [-3%; 77%]) independent of all examined predictors. The most frequent DA patterns were stability (59%) and gradual decline (30%). Compared to stability, higher age, male sex and low income predicted (mostly fatal) abrupt decline. In conclusion, several factors are associated with FI levels at baseline whereas the change in FI levels over time seems hardly modifiable. Thus, future research should investigate if the same factors predicting older-age FI levels constitute predictors of DA onset earlier in life. Towards the end of life, being male with low income may increase the risk for abrupt decline, indicating need for early detection.

Sex differences in frailty: A systematic review and meta-analysis

BACKGROUND

It is a well-described clinical phenomenon that females live longer than males, yet tend to experience greater levels of co-morbidity and disability. Females can therefore be considered both more frail (because they have poorer health status) and less frail (because they have a lower risk of mortality). This systematic review aimed to determine whether this ageing paradox is demonstrated when the Frailty Index (FI) is used to measure frailty.

METHODS

Medline, EMBASE and CINAHL databases were searched for observational studies that measured FI and mortality in community-dwellers over 65years of age. In five-year age groups, meta-analysis determined the sex differences in mean FI (MD=mean FI_female-mean FI_male) and mortality rate.

RESULTS

Of 6482 articles screened, seven articles were included. Meta-analysis of data from five studies (37,426 participants) found that MD values were positive (p<0.001; MD range=0.02-0.06) in all age groups, indicating that females had higher FI scores than males at all ages. This finding was consistent across individual studies. Heterogeneity was high (I²=72.7%), reflecting methodological differences. Meta-analysis of mortality data (13,127 participants) showed that male mortality rates exceeded female mortality rates up until the 90 to 94-years age group. Individual studies reported higher mortality for males at each level of FI, and higher risk of death for males when controlling for age and FI.

CONCLUSIONS

The pattern of sex differences in the FI and mortality of older adults was consistent across populations and confirmed a 'male-female health-survival paradox'.

Tobacco smoking and smoking-related DNA methylation are associated with the development of frailty among older adults

Tobacco smoking is a preventable environmental factor that contributes to a wide spectrum of age-related health outcomes; however, its association with the development of frailty is not yet well established. We examined the associations of self-reported smoking indicators, serum cotinine levels and smoking-related DNA methylation biomarkers with a quantitative frailty index (FI) in 2 independent subsets of older adults (age 50-75) recruited in Saarland, Germany in 2000 - 2002 (discovery set: n = 978, validation set: n = 531). We obtained DNA methylation profiles in whole blood samples by Illumina HumanMethylation450 BeadChip and calculated the FI according to the method of Mitnitski and Rockwood. Mixed linear regression models were implemented to assess the associations between smoking indicators and the FI. After controlling for potential covariates, current smoking, cumulative smoking exposure (pack-years), and time after smoking cessation (years) were significantly associated with the FI (P-value < 0.05). In the discovery panel, 17 out of 151 previously identified smoking-related CpG sites were associated with the FI after correction for multiple testing (FDR < 0.05). Nine of them survived in the validation phase and were designated as frailty-associated loci. A smoking index (SI) based on the 9 loci manifested a monotonic association with the FI. In conclusion, this study suggested that epigenetic alterations could play a role in smoking-associated development of frailty. The identified CpG sites have the potential to be prognostic biomarkers of frailty and frailty-related health outcomes. Our findings and the underlying mechanisms should be followed up in further, preferably longitudinal studies.

The Identification of Hereditary and Environmental Determinants of Frailty in a Cohort of UK Twins

Our study examines the contribution of genetic and environmental factors (both shared and unique) to frailty, measured using the Rockwood Frailty Index (FI) in a sample of twins from the St Thomas’ UK Adult Twin Registry. The FI was based on 39 items of potential health deficit. Study participants were 3,375 volunteer adult twins (840 monozygotic and 802 dizygotic twin-pairs) 40.0–84.5 years old. First, we used structural equation modeling to estimate the relative contribution of genetics and of the shared and unique environment to variance in FI adjusted for age. In a second analysis, multiple linear regression was used to examine variance in FI as a function of father's occupational class (a component of shared environment and a measure of childhood socioeconomic status [SES]), adjusting for age, birth weight, marital status, and health behaviors (smoking, alcohol consumption, and physical activity). Statistical analyses were conducted using IBM SPSS® Version 22 software and Mx open source software. Findings showed that 45% (95% confidence intervals [CIs] 30–53%) of the inter-individual variation in FI was heritable and 52% (95% CIs 47–57%) was due to the individual's unique environment. Multiple linear regression also showed a small but statistically significant inverse association between father's occupational class and FI, mediated by one's own educational attainment and birth weight. Our results indicate that frailty is both genetically and environmentally determined. Thus, its prevention and management call for a multifaceted approach that includes addressing deleterious environmental factors, some of which, like childhood SES, may act across the life course.

Frailty Screening in Low- and Middle-Income Countries: A Systematic Review

OBJECTIVES

To conduct a systematic review of frailty screening tools used in low- and middle-income countries (LMICs).

DESIGN

Systematic review.

SETTING

LMICs, as defined by the World Bank on June 30, 2014.

PARTICIPANTS

Elderly adults (as defined by the authors) living in LMICs.

MEASUREMENTS

Studies were included if the population under consideration lived in a LMIC, the study involved an assessment of frailty, the study population was elderly adults, and the full text of the study was available in English. The Medline, Embase, CINAHL and PsychINFO databases were searched up to June 30, 2014.

RESULTS

Seventy studies with data from 22 LMICs were included in the review. Brazil, Mexico, and China provided data for 60 of the 70 studies (85.7%), and 15 countries contributed data to only one study. Thirty-six studies used the Fried criteria to assess frailty, 20 used a Frailty Index, and eight used the Edmonton Frailty Scale; none of the assessment tools used had been fully validated for use in a LMIC.

CONCLUSION

There has been a rapid increase in the number of published studies of frailty in LMICs over the last 5 years. Further validation of the assessment tools used to identify frail elderly people in LMICs is needed if they are to be efficient in identifying those most in need of health care in such settings.

Measuring frailty in Dutch community-dwelling older people: Reference values of the Tilburg Frailty Indicator (TFI)

OBJECTIVES

The objectives of this study were to provide reference values of the Tilburg Frailty Indicator (TFI) for community-dwelling older people by age, sex, marital status, ethnicity, education, income, and residence, and examine the effects of these seven socio-demographic variables on frailty.

METHODS

47,768 individuals aged 65 years and older living in the Netherlands completed a health questionnaire (58.5% response rate), including the TFI. The TFI is a self-report questionnaire for measuring frailty, developed from an integral approach of frailty, including physical, psychological, and social domains.

RESULTS

Reference values were provided for men and women separately, as a function of age. We found associations of all socio-demographic variables with frailty, also after controlling for the effects of age. These associations held for both sexes and for big cities as wells as more rural areas. For instance, the effect of age was large for total and physical frailty, women were more frail than men, and some very large average frailty differences between the ethnic groups were found, with autochthon people having the lowest frailty score.

CONCLUSIONS

In conclusion, this study offers reference values of the TFI by socio-demographic characteristics and explains frailty using these characteristics. This information will support researchers, policymakers and health care professionals in interpreting scores of the TFI, which may guide their efforts to reduce frailty and its adverse outcomes.

Sauver JL, Jacobson DJ, Manemann SM, Fan C, Roger VL, Yawn BP, Finney Rutten LJ. Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults

OBJECTIVE

The goal of this study was to identify distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an ageing population and to determine social and behavioural factors associated with frailty trajectories.

DESIGN

Population-based cohort study.

SETTING

Olmsted County, Minnesota.

PARTICIPANTS

Olmsted County, Minnesota residents aged 60-89 in 2005.

PRIMARY OUTCOME MEASURE

Changes in frailty over an 8-year period from 2005 to 2012, measured by constructing a yearly frailty index. Frailty trajectories by decade of age were determined using k-means cluster modelling for longitudinal data.

RESULTS

After adjustment for age and sex, all social and behavioural factors (education, marital status, living arrangements, smoking status and alcohol use) were significantly associated with frailty trajectories in those aged 60-69 and 70-79 years. After further adjustment for baseline frailty, the likelihood of being in the high frailty trajectory was greatest among those reporting concerns from relatives/friends about alcohol consumption (OR (95% CI) 2.26 (1.19 to 4.29)) and those with less than a high school education (OR (95% CI) 1.98 (1.32 to 2.96)) in the 60-69 year olds. In the 70-79 year olds, the largest associations were observed among those with concerns from oneself about alcohol consumption (OR (95% CI) 1.92 (1.23 to 3.00)), those with less than a high school education (OR (95% CI) 1.57 (1.12 to 2.22)), and those living with family (vs spouse; OR (95% CI) 1.76 (1.05 to 2.94)). No factors remained associated with frailty trajectories in the 80-89 year olds after adjustment for baseline frailty.

CONCLUSIONS

Social and behavioural factors are associated with frailty, with stronger associations observed in younger ages. Recognition of social and behavioural factors associated with increasing frailty may inform interventions for individuals at risk of worsening frailty, specifically when targeted at younger individuals.

Predictors of Frailty in Old Age - Results of a Longitudinal Study

OBJECTIVES

To investigate time-dependent predictors of frailty in old age longitudinally.

DESIGN

Population-based prospective cohort study.

SETTING

Elderly individuals were recruited via GP offices at six study centers in Germany. The course of frailty was observed over 1.5 years (follow up wave 4 and follow up wave 5).

PARTICIPANTS

1,602 individuals aged 80 years and older (mean age 85.4 years SD 3.2, with mean CSHA CFS 3.5 SD 1.6) at follow up wave 4.

MEASUREMENTS

Frailty was assessed by using the Canadian Study of Health and Aging Clinical Frailty Scale (CSHA CFS), ranging from 1 (very fit) to 7 (severely frail).

RESULTS

Fixed effects regressions revealed that frailty increased significantly with increasing age (β=.2) as well as the occurrence of depression (β=.5) and dementia (β=.8) in the total sample. Changes in marital status and comorbidity did not affect frailty. While the effects of depression and dementia were significant in women, these effects did not achieve statistical significance in men.

CONCLUSION

Our findings highlight the role of aging as well as the occurrence of dementia and depression for frailty. Specifically, in order to delay frailty in old age, developing interventional strategies to prevent depression might be a fruitful approach.

Frailty Index and Its Relation to Falls and Overnight Hospitalizations in Elderly Chinese People: A Population-based Study

OBJECTIVES

To investigate current status of frailty index (FI) defined as deficit accumulation and its relations to falls and overnight hospitalizations in an elderly Chinese population.

DESIGN

A cross-sectional cohort study.

SETTING

All of the 31 valiages in Jiang'an township, a typical medium-sized township in Rugao city, China.

PARTICIPANTS

Overall 1773 participants aged 70-84 years were randomly recruited.

MEASUREMENTS

A FI including symptoms, activities of daily living, co-morbidities, cognitive and psychological function was constructed using 45 health deficits.

RESULTS

The mean of FI was 0.14 in men and 0.19 in women. According to a usual FI cut-point of 0.25, 8.2% of men and 23.2% of women were classified as frail. Literate participants had lower levels of FI than their illiterate counterpart. In men, the FI was positively related to age (r = 0.186, p<.001), with a mean rate of deficit accumulation of 0.032 (on a log scale) per year. Each increment of 0.01 on the FI was associated with significantly increased risks of falls and overnight hospitalizations, with odds ratios of 1.05 (95% CI: 1.03, 1.07) and 1.05 (95% CI: 1.03, 1.08). Similarly, the aforementioned associations were observed in women. Education level moderated the associations of FI with falls in men and women.

CONCLUSION

Elderly Chinese women were more frail than men. The FI significantly increased with chronological age and was significantly associated with falls and overnight hospitalizations, and education level may play an important role. This study provides preliminary but crucial evidences for future researches on frailty in China.

Contribution of health behaviours and clinical factors to socioeconomic differences in frailty among older adults

BACKGROUND

To examine the association between socioeconomic status (SES) and risk of frailty, and to assess whether behavioural and clinical factors (BCF) mediate this association.

METHODS

Cohort of 1857 non-institutionalised individuals aged ≥ 60 years recruited in 2008-2010 and followed through 2012. Education, occupation, and BCF were ascertained at baseline, and incident frailty was assessed at follow-up with the Fried frailty criteria.

RESULTS

Men showed no differences in frailty risk by education or occupation. Compared with women with university education, the adjusted OR (aOR) adjusted for age and the number of frailty criteria at baseline for incident frailty in women with primary or lower education was 3.02 (95% CI 1.25 to 7.30); once fully adjusted for BCF, the OR was 2.00 (95% CI 0.76 to 5.23). No alcohol intake (vs light-moderate), longer time spent watching TV, less time spent reading, and a higher frequency of obesity, depression and musculoskeletal disease in those with primary or lower education accounted for most of the decline in OR. BCF explained 50.5% of the excess frailty risk associated with lower education. The aOR of frailty incidence for manual versus non-manual occupation was 2.24 (95% CI 1.41 to 3.56) versus a fully aOR of 2.05 (95% CI 1.24 to 3.37). BCF explained 15.3% of the association, with individual mediators being similar to those for education-related differences.

CONCLUSIONS

A lower education or a manual occupation was associated with higher frailty risk in older women. These associations were partly explained by lower alcohol consumption, higher sedentariness, and higher obesity and chronic disease rates in women with lower SES.

Smoking as a predictor of frailty: a systematic review

Background

Evidence on longitudinal associations between smoking and frailty is scarce. The objective of this study was to systematically review the literature on smoking as a predictor of frailty changes among community-dwelling middle-aged and older population.

Methods

A systematic search was performed using three electronic databases: MEDLINE, Embase and Scopus for studies published from 2000 through May 2015. Reference lists of relevant articles, articles shown as related citations in PubMed and articles citing the included studies in Google Scholar were also reviewed. Studies were included if they were prospective observational studies investigating smoking status as a predictor and subsequent changes in frailty, defined by validated criteria among community-dwelling general population aged 50 or older. A standardised data collection tool was used to extract data. Methodological quality was examined using the Newcastle-Ottawa Scale for cohort studies.

Results

A total of 1020 studies were identified and systematically reviewed for their titles, abstracts and full-text to assess their eligibilities. Five studies met inclusion criteria and were included in this review. These studies were critically reviewed and assessed for validity of their findings. Despite different methodologies and frailty criteria used, four of the five studies consistently showed baseline smoking was significantly associated with developing frailty or worsening frailty status at follow-up. Although not significant, the other study showed the same trend in male smokers. It is of note that most of the estimate measures were either unadjusted or only adjusted for a limited number of important covariates.

Conclusions

This systematic review provides the evidence of smoking as a predictor of worsening frailty status in community-dwelling population. Smoking cessation may potentially be beneficial for preventing or reversing frailty.