Gender Disparities in Frailty and Its Decomposition Among Chinese Older Adults

AIMS

To identify the evidence of gender disparities in frailty and explore the factors contributing to male-female differences.

DESIGN

A longitudinal study.

METHODS

A total of 24,429 older adults (60+) were enrolled. Frailty was assessed by frailty index and frailty risk based on Rockwood's cumulative deficit frailty index. OLS and logistic regression models were conducted, with Oaxaca-Blinder and Fairlie decomposition methods to further analyse the factors contributing to gender disparities in frailty.

DATA SOURCES

The paper used four waves of the China Health and Retirement Longitudinal Study from 2011 to 2018, a nationwide survey organised by the National Development Institute of Peking University.

RESULTS

Women had higher frailty status than men, with more pronounced increases. Among the factors, education has the most significant association with frailty gender disparities. The contribution of individual characteristics, particularly education, to gender disparities in frailty appeared to diminish over time, while the contribution of family and regional factors remained relatively stable, and the contribution of institutions was deemed inadequate.

CONCLUSIONS

The frailty in Chinese older adults is generally on the rise with continuously expanded gender disparities. It is crucial to consider the contributing factors to frailty in older adults for effective prevention and intervention strategies. Additional gender-specific geriatric care policies are needed in order to address gender inequality in health.

IMPACT

The findings of this study highlight the prevalence of increasing gender disparities in frailty and identify that the level of education, per capita annual household income as well as marital status are the most significant factors contributing to the gender gap. Those findings provide policy implications for healthcare nursing service from a gender-specific perspective in order to achieve health equity.

REPORTING METHOD

This study has adhered to the STROBE guideline.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution. WHAT DOES THIS PAPER CONTRIBUTE TO THE WIDER GLOBAL CLINICAL COMMUNITY: This study provided implications on gender-specific geriatric care nursing services. The study highlighted the importance of focusing on frailty and its gender disparities in geriatric clinical nursing.

Development and validation of a prediction model of frailty risk in community-dwelling older adults: From a national longitudinal survey

OBJECTIVES

This study aimed to develop and validate a risk prediction model for frailty in elderly using a nationally representative longitudinal survey database.

STUDY DESIGN

Longitudinal study based on public databases.

METHODS

Three continuous cohorts of elderly aged 65 years or older from the Chinese Longitudinal Healthy Longevity Survey, with the 2008-2018 cohort as the development cohort. 2005-2014 and 2002-2011 cohort as validation sets. Frailty was assessed using the FI constructed from 46 indicators of health deficits, with FI ≥ 0.25 considered frailty. Prediction models were constructed using Cox regression model. We assessed the predictive performance of the models using the concordance statistic and calibration accuracy.

RESULTS

4,878 participants from the development cohort were enrolled with a median follow-up of 65 months. The prediction model contained 9 predictors: age, BMI, cognitive function, gender, ethnicity, education, natural teeth status, smoking status, and occupation. In the development cohort, the AUCs were 0.74, 0.78, and 0.80 at 36, 60, and 96 months. The AUCs were 0.68, 0.84, 0.85, and 0.70, 0.72, and 0.76 for two validation sets, respectively. Calibration performed well in the development and two validation sets, with a Brier score of <0.25. The prediction models constructed using machine learning algorithms showed similar predictive performance.

CONCLUSIONS

We developed and validated a model to predict the risk of incident frailty in elderly. The model provides insights to enable early screening and risk stratification for frailty in elderly, and to frame the development of individualized prevention of frailty.

Exposure to secondhand smoke and physical disabilities in non-smokers: A national cross-sectional study with cotinine measurements from NHANES 2013-2018

INTRODUCTION

Secondhand smoke (SHS) exposure is a significant health risk, but current research often overlooks its broader impact on functional impairments in the general public.

METHODS

This study utilized serum cotinine levels (SCL) from the 2013-2018 NHANES dataset to investigate physical disabilities associated with SHS exposure. SCL represents the combined concentration of cotinine and hydroxycotinine. The physical disabilities assessed include difficulties with hearing, vision, concentration, walking, dressing or bathing independently, and running errands alone. Logistic regression was applied to evaluate the relationship between SCL and physical disabilities in adults, with stratified analyses by age, gender, and race. A p<0.05 was considered significant.

RESULTS

Logistic regression analyses showed that SHS exposure was significantly associated with walking difficulty. Participants in the highest quartile of SCL (Q4) had significantly higher odds of walking difficulty compared to those in the lowest quartile (Q4 vs Q1, AOR=2.03; 95% CI: 1.24-3.31, p-trend=0.010). Higher hydroxycotinine were associated with increased walking difficulty (AOR=1.48; 95% CI: 1.06-2.08, p=0.030). Individuals in the highest quartile of hydroxycotinine (Q4) faced more difficulty running errands (AOR=2.09; 95% CI: 1.13-3.88, p-trend=0.036). Among males, the highest quartiles of cotinine and hydroxycotinine were more strongly associated with walking difficulty than in females (cotinine: AOR=2.92 vs 1.49; hydroxycotinine: AOR=3.23 vs 1.78). In adults aged ≥60 years, higher SCL, cotinine, and hydroxycotinine levels were significantly associated with walking difficulty (SCL, AOR=1.58; 95% CI: 1.24-2.02); cotinine, AOR=1.80; 95% CI: 1.21-2.67; hydroxycotinine, AOR=4.57; 95% CI: 1.92-10.89). An 'L'-shaped association was observed for ln(hydroxycotinine) and walking difficulty, with a significant association beyond -1.306 (AOR=2.57; 95% CI: 1.33-4.96, p=0.005).

CONCLUSIONS

Higher SHS is significantly associated with various physical disabilities, especially in men and older adults.

U-shaped association between sleep duration and frailty in Chinese older adults: a cross-sectional study

Objective

As the population ages, understanding the association between sleep patterns and physical frailty in older adults is crucial for formulating effective health interventions. This study aimed to explore the relationship among nap time, nighttime sleep duration, and physical frailty in older Chinese individuals; establish recommended sleep times; and provide a scientific and reasonable basis for the prevention and management of frailty in older adults.

Methods

On the basis of the 2020 China Health and Retirement Longitudinal Study database, demographic information, health data, and lifestyle information of the research subjects were obtained. A total of 5,761 survey participants were included, and logistic regression and restricted cubic splines were used to explore the association between sleep duration and frailty.

Results

In our cross-sectional analysis, the duration of napping in older adults did not show a significant correlation with frailty. The optimal nighttime sleep interval for older adults was 7-8 h, and the maximum health benefit was achieved when nighttime sleep reached 7.5 h. Compared with older adults in China who slept 6-8 h at night, those with a sleep duration of <6 h (OR = 1.58, 95% CI: 1.36-1.82) were more likely to be frail. After adjusting for all covariates such as smoking, multimorbidity, self-rated health, social events, education level, and frequency of physical activity, we found no interaction between gender and age concerning sleep duration.

Conclusion

The potential correlation between nighttime sleep duration and frailty in older adults is basically U-shaped. Older Chinese adults with a moderate nighttime sleep duration of 7-8 h exhibited the lowest likelihood of frailty than their counterparts. The duration of napping is not related to the likelihood of frailty in older people. Thus, the importance of sufficient nighttime sleep for the health of older adults must be emphasized.

Tobacco Smoking and Pack-Years Are Associated With Frailty Among People With HIV

BACKGROUND

Tobacco smoking increases frailty risk among the general population and is common among people with HIV (PWH) who experience higher rates of frailty at younger ages than the general population.

METHODS

We identified 8608 PWH across 6 Centers for AIDS Research Network of Integrated Clinical Systems sites who completed ≥2 patient-reported outcome assessments, including a frailty phenotype measuring unintentional weight loss, poor mobility, fatigue, and inactivity, and scored 0-4. Smoking was measured as baseline pack-years and time-updated never, former, or current use with cigarettes/day. We used Cox models to associate smoking with risk of incident frailty (score ≥3) and deterioration (frailty score increase by ≥2 points), adjusted for demographics, antiretroviral medication, and time-updated CD4 count.

RESULTS

The mean follow-up of PWH was 5.3 years (median: 5.0), the mean age at baseline was 45 years, 15% were female, and 52% were non-White. At baseline, 60% reported current or former smoking. Current (HR: 1.79; 95% confidence interval: 1.54 to 2.08) and former (HR: 1.31; 95% confidence interval: 1.12 to 1.53) smoking were associated with higher incident frailty risk, as were higher pack-years. Current smoking (among younger PWH) and pack-years, but not former smoking, were associated with higher risk of deterioration.

CONCLUSIONS

Among PWH, smoking status and duration are associated with incident and worsening frailty.

Frailty in relation to the risk of carotid atherosclerosis and cardiovascular events in Chinese community-dwelling older adults: A five-year prospective cohort study

OBJECTIVE

To investigate the frailty, as estimated by accumulated health deficits, in association with the symptomatic carotid atherosclerosis and in relation to five-year cardiovascular (CVD) outcomes.

METHODS

This is a five-year prospective cohort study. Secondary analysis of data from the Beijing Longitudinal Study on Aging. Community-dwelling people aged 55+ years (n = 1257) have been followed between 2009 and 2014, and having carotid ultrasonography examinations with no CVD events at baseline. Frailty was quantified using the deficit accumulation-based frailty index (FI), constructed from 37 health deficits assessed at baseline. The association between the degree of frailty and carotid atherosclerosis was examined using odds ratios (OR) with multivariate logistic regression analyses. Effects of frailty on the probability of five-year cardiovascular events and mortality were evaluated using Cox proportional hazard ratios (HR). The analyses were adjusted for demographics, baseline carotid atherosclerosis status, and CVD risk factors.

RESULTS

The FI showed characteristic properties and was independently associated with the major carotid atherosclerosis symptoms, including carotid artery intima-media thickening (the most frail vs. the least frail: OR = 4.39: 1.98-7.82), carotid plaque (OR = 3.41: 1.28-6.54), and carotid plaque stability (OR = 1.19, 95 % CI: 1.01-3.59). Compared with the least frail, the most frail individuals were more likely to develop a cardiovascular event in five years, including myocardial infarction (HR = 3.38, 95 % CI = 1.84-6.19), stroke (HR = 1.26, 95 % CI = 1.00-5.87), CVD death (HR = 6.33, 95 % CI = 1.69-11.02), and all-cause death (HR = 5.95, 95 % CI = 2.74-8.95).

CONCLUSION

Deficit accumulation was closely associated with carotid atherosclerosis risks and strongly predicted five-year CVD events. The frailty index can be used to help identify older adults at high risks of CVD for improved preventive healthcare.

Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study

BACKGROUND

Frailty describes an age-related state of deterioration in biological function. This study aimed to investigate the association between frailty and cognitive function and its combined effects with lifestyles.

METHODS

A total of 3,279 participants from the Dongfeng-Tongji (DFTJ) cohort were tested the cognitive function by using the Chinese version of Mini-mental State Examination (MMSE). Frailty was evaluated based on a 35-item frailty index (FI). Frailty status was dichotomized into robust (FI < 0.15) and frail (FI ≥ 0.15). Multivariate generalized linear regression models and logistic regression models were used to estimate the associations of frailty with MMSE score and cognitive impairment. We also analysed the modification and combined effects of lifestyle factors, including smoking status, drinking status, and regular physical exercise, on the above associations.

RESULTS

FI was significantly associated with lower MMSE score [β (95%Cl) = -0.28 (-0.43, -0.13)] and cognitive impairment [OR (95%Cl) = 1.19 (1.04, 1.35)]. The association of frailty status with MMSE were found to be stronger among ever smokers [β(95%Cl) = -1.08 (-1.64, -0.51)] and physical inactive individuals [β(95%Cl) = -1.59 (-2.63, -0.54)] while weaker or not significant among never smokers [β(95%Cl) = -0.30 (-0.62, 0.01)] and physical active individuals [β(95%Cl) = -0.37 (-0.65, -0.08))]. There were significant combined effects of frailty status with unhealthy lifestyles including smoking, alcohol drinking, and physical inactive on cognitive impairment.

CONCLUSIONS

Frailty was associated with cognitive impairment among Chinese middle-aged and elderly people, while smoking cessation and regular physical exercise could attenuate the above associations, which highlight the potential preventive interventions.

Smoking, alcohol consumption, and frailty: A Mendelian randomization study

Background: Tobacco smoking and alcohol consumption have been associated with frailty in observational studies. We sought to examine whether these associations reflect causality using the two-sample Mendelian randomization (MR) design. Methods: We used summary genome-wide association statistics for smoking initiation (N = 2,669,029), alcohol consumption (N = 2,428,851), and the frailty index (FI, N = 175,226) in participants of European ancestry. Both univariable and multivariable MR were performed to comprehensively evaluate the independent effects of smoking and alcohol consumption on the FI, accompanied by multiple sensitivity analyses. Results were verified using lifetime smoking and alcohol use disorder. Reverse direction MR was undertaken to assess the potential for reverse causation. Results: Genetic predisposition to smoking initiation was significantly associated with increased FI (univariable MR: β = 0.345; 95% confidence interval [CI] = 0.316 to 0.374; p = 1.36E-113; multivariable MR: β = 0.219; 95% CI = 0.197 to 0.241; p = 2.44E-83). Genetically predicted alcohol consumption showed a suggestive association with the FI (univariable MR: β = -0.090; 95% CI = -0.151 to -0.029; p = 0.003; multivariable MR β = -0.153; 95% CI = -0.212 to -0.094; p = 2.03E-07), with inconsistent results in sensitivity analyses. In complementary analysis, genetic predicted lifetime smoking, but not alcohol use disorder was associated with the FI. There is no convincing evidence for reverse causation. Conclusion: The present MR study supported smoking as a causal risk factor of frailty. Further research is warranted to investigate whether alcohol consumption has a causal role in frailty.

Secondhand smoke is positively associated with pre-frailty and frailty in non-smoking older adults

Introduction

Either exposure to secondhand smoke (SHS) or frailty has been linked to adverse health outcomes in nonsmoking adults. However, their relationship is rarely studied. The purpose of this study is to examine the association between serum cotinine level and frailty status among non-smoking older adults.

Method

The study population consisted of 2,703 older adults aged ≥60 from the National Health and Nutrition Examination Survey 2011-2014. Non-smokers were included based on (1) a serum cotinine level ≤ 10 ng/mL and 2) a response of "no" to the question, "Do you currently smoke?" Frailty status was measured based on the Fried Phenotype and had three groups- robust, pre-frailty, and frailty. Multinomial logistic regression models were constructed to examine the association between serum cotinine level quartile and frailty status, controlling for age, sex, race/ethnicity, education, depressive symptoms, alcohol use, and systolic blood pressure.

Results

About half of the participants (median age 70.0 years, range 64-78) were female (53.6%), non-Hispanic White (48.3%), and completed some college and above (50.1%). Multinomial logistic regression with a reference group being those in the 1st quantile (the lowest) of serum cotinine level showed that participants in the 4th quartile (the highest) of serum cotinine level had increased odds of pre-frailty vs. robust (OR 1.522, 95% confidence interval [CI] 1.060, 2.185, P = 0.023) as well as increased odds of frailty vs. robust (OR 2.349, 95% CI 1.081, 5.107, P = 0.031).

Conclusions

Higher serum cotinine level is associated with increased risk of pre-frailty and frailty versus robust in non-smoking older adults. Prevention and reduction of SHS in older adults may help protect them from developing pre-frailty or frailty.

A frailty index based on routine laboratory data predicts increased risk of mortality in Chinese community-dwelling adults aged over 55 years: a five-year prospective study

Background

Frailty can be operationalized based on the accumulation of deficits using a frailty index (FI) and is associated with an increased risk of adverse health outcomes. Here, we aim to compare validity of a FI from laboratory data with that of the common clinical FI for prediction of mortality in adults aged 55 + years, also examine whether combined FI could improve identification of adults aged 55 + years at increased risk of death.

Methods

Data for this analysis were obtained from the Beijing Longitudinal Study of Aging that involved 1,257 community-dwelling Chinese people, aged 55 + years at baseline. The main outcome measure was 5-year mortality. An FI-self-report based on 30 self-reported health-related data was constructed. An FI-lab was developed using laboratory data, in addition to pulse, systolic and diastolic blood pressure, pulse pressure, body mass index (BMI) and waist. A combined FI comprised all items from each FI. Kaplan–Meier survival curve and Cox proportional hazards models were performed to evaluate the risk of each FI on death. The area under receiver operating characteristic(ROC) curves were used to compare the discriminative performance of each FI.

Results

Of 1257 participants, 155 died and 156 lost at the end of the 5-year follow-up. The mean FI-self-report score was 0.11 ± 0.10, the FI-lab score was 0.33 ± 0.14 and FI-combined score was 0.19 ± 0.09. Higher frailty level defined by each FI was associated with higher risk of death. After adjustment for age and sex, Cox proportional hazards models showed that the higher scores of frailty were associated with a higher risk of mortality for each FI, the hazard ratios for the FI-self-report and FI-lab and FI-combined were 1.04 (1.03 to 1.05) and 1.02 (1.01 to 1.03) and 1.05 (1.04 to 1.07), respectively. The areas under the ROC curve were 0.79 (0.77–0.82) for the FI-self-report, 0.77(0.75–0.80) for the FI-lab and 0.81(0.78–0.82) for FI-combined.

Conclusions

A FI from laboratory data can stratify older adults at increased risk of death alone and in combination with FI based on self-report data. Assessment in clinical settings of creating an FI using routine collected laboratory data needs to be further developed.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03374-z.

Effects of Health-Related Behaviors and Changes on Successful Aging among Indonesian Older People

Whether changes in health behaviors can improve successful aging has not been well explored. The purpose of this study was to assess the effects of health-related behaviors and changes on successful aging in Indonesian older adults. Data were from the fourth and fifth waves of the Indonesia Family Life Survey (IFLS), the participants were aged 60 years and older and who completed both waves (n = 1289). Successful aging indicators were defined as no chronic diseases, no physical function difficulties, no depressive symptoms, intact cognitive function, with social support, and with social participation. Health-related behaviors focused on smoking, physical activities, and protein intake. A logistic regression analysis was conducted. The overall successful aging rate in 2007 was 23.6%, and it had decreased to 5.6% by 2014. There were gender differences in smoking, physical activities, and behavioral changes, including promoting increased physical activity, no smoking/smoking cessation, and adequate protein intake by older adults. Quitting smoking, performing medium physical activity, and increasing protein intake were protective factors for successful aging, but the effects of behavioral changes differed by gender. Health-related behaviors and changes may impact successful aging among older adults. A healthy lifestyle is suggested to be adopted as early as possible in one's life course.

Frailty index and gender-specific mortality in Korean adults: Findings from the Korean Longitudinal Study of Aging (2006-2018)

AIMS

To examine the predictive ability of the frailty index in estimating gender-specific mortality in a population of Korean adults.

DESIGN

A descriptive and prospective longitudinal design.

METHODS

Data were used from the Korean Longitudinal Study of Aging conducted from 2006 through 2018. A total of 10,254 adults aged 45-98 years at baseline were included. A 41-item deficit accumulation frailty index was measured, based on multi-domain assessment such as self-rating of health, physical condition, mental status, cognitive function, activities of daily living, instrumental activities of daily living and chronic conditions. We categorized the frailty index into robust (≤0.10), prefrail (0.10-0.25) and frail (≥0.25). Cox's proportional hazards regression analysis was employed to determine the association between the frailty index and all-cause mortality.

RESULTS

A total of 4705 individuals (45.9%) were categorized as robust, 4178 (40.7%) as prefrail and 1371 (13.4%) as frail. The frailty index increased with age, and females were found to have a higher frailty index than males. The survival probabilities were significantly lower in older adults (aged ≥65) compared with adults and significantly lower in males compared with females. Compared with the robust group, the risk of mortality in the prefrail and frail groups was 1.37 and 2.57 times higher, respectively. The association between frailty status and all-cause mortality was similar in adults and older adults, while the hazard ratios were higher in frail group of males than that of females.

CONCLUSION

The frailty index had a predictive ability for all-cause mortality with respect to age and sex.

IMPACT

Using a frailty index among community-dwelling adults could be beneficial to support healthcare providers in early detection of individuals with frailty and facilitate the development of more effective interventions for reducing mortality.

Association between high-density lipoprotein cholesterol and type 2 diabetes mellitus among Chinese: the Beijing longitudinal study of aging

Background

Some previous studies on different populations have yielded inconsistent findings with respect to the relationship between levels of high-density lipoprotein cholesterol (HDL-C) and future type 2 diabetes mellitus (T2DM) incidence. This study was designed to gain further insight into this relationship through a cohort study with a 25-year follow-up duration.

Methods

In total, 1462 individuals that were 55 years of age or older and were free of T2DM at baseline were enrolled in the present study. T2DM incidence among this study population was detected through self-reported diagnoses or the concentration of fasting plasma glucose. The data were derived from nine surveys conducted from 1992 to 2017. The correlation between HDL-C levels and the T2DM risk was assessed through Cox proportional-hazards model and proportional hazards model for the sub-distribution with time-dependent variables.

Results

Over the follow-up period, 120 participants were newly diagnosed with new-onset T2DM. When research participants were separated into four groups on the basis for quartiles of their levels of HDL-C measured at baseline, and incidence of diabetes declined with higher baseline HDL-C levels at 12.60, 9.70, 5.38, and 5.22 per 1000 person-years, respectively. Adjusted hazard ratios (HRs) were 0.98 (95% confidence interval [CI]: 0.62–1.55), 0.48 (95% CI: 0.27–0.85) and 0.44 (95% CI: 0.25–0.80) for individuals with HDL-C levels within the 1.15–1.39, 1.40–1.69, and ≥ 1.70 mmol/L ranges relative to participants with HDL-C levels < 1.15 mmol/L. Multiple sensitivity analyses similarly revealed reduced risk of diabetes incidence with increased HDL-C levels. Incorporating the levels of HDL-C into a multivariate model significantly enhanced the overall power of the predictive model (P values were 0.0296, 0.0011, respectively, for 5- and 10-year risk of diabetes).

Conclusions

Levels of HDL-C were independently and negatively associated with the risk of the new-onset T2DM among middle-aged and elderly Chinese.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12944-021-01499-5.

Validation of 10-Year Stroke Prediction Scores in a Community-Based Cohort of Chinese Older Adults

A stroke prediction model based on the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project was developed. We compared its predictive ability with the revised Framingham Stroke Risk Score (R-FSRS) for 5-year stroke incidence in a community cohort of Chinese adults, namely the Beijing Longitudinal Study of Aging (BLSA). Calibration, discrimination, and recalibration were used to compare the predictive ability between the two prediction models. Category-less net reclassification improvement (NRI) and integrated discrimination improvement (IDI) values were also assessed. During a mean follow-up duration of 5.1 years, 106 incidents of fatal or non-fatal strokes occurred among 1,203 participants aged 55–84 years. The R-FSRS applied to our cohort underestimated the 5-year risk for stroke in men and women. China-PAR performed better than the R-FSRS in terms of calibration (men, R-FSRS: χ²-value 144.2 [P < 0.001], China-PAR: 10.4 [P = 0.238]; women, R-FSRS: 280.1 [P < 0.001], China-PAR: 12.5 [P = 0.129]). In terms of discrimination, R-FSRS and China-PAR models performed modestly in our cohort (C-statistic 0.603 [95% CI: 0.560–0.644] for men using China-PAR and 0.568 [95% CI: 0.524–0.610] using the R-FSRS; the corresponding numbers for women were 0.602 [95% CI: 0.564–0.639] and 0.575 [95% CI: 0.537–0.613). The recalibrated China-PAR model significantly improved the discrimination in C statistics and produced higher category-less NRI and IDI for stroke incidence than the R-FSRS. Although China-PAR fairly estimated stroke risk in our cohort, it did not sufficiently identify adults at high risk of stroke. Caution would be exercised by practitioners in applying the original China-PAR to Chinese older adults. Further studies are needed to develop an adequate prediction model based on the recalibrated China-PAR or to find new risk markers which could upgrade this model.

Association between lifestyle behaviors and frailty in Atlantic Canadian males and females

PURPOSE

The aim of this study was to identify lifestyle factors in males and females that are associated with a greater degree of frailty in a Canadian cohort.

METHODS

Cross-sectional data analysis from participants aged 30-74 yrs of the Atlantic PATH cohort. Inclusion criteria included completion of mental health questionnaires and ≥1 vital measure (n = 9133, 70% female, mean age 55 yrs). A frailty index was created based on 38 items with higher values indicating increasing frailty. The association between lifestyle factors and frailty was assessed by logistic regression.

RESULTS

805 participants had a high level of frailty (frailty index ≥0.30). There was a significant interaction among sex, age, and lifestyle factors such as smoking status (P < 0.001), alcohol consumption (P < 0.001), physical activity level (P = 0.005), time spent sitting (P < 0.001) and sleeping (P < 0.001) on frailty. Smoking was harmful whereas sleep was protective for both males and females (<60 yrs). Females (<60yrs) that sat for ≥4 h/day were more likely to be highly frail whereas females (all ages) that consumed alcohol at least occasionally were less likely to be highly frail. Males, but not females, that engaged in a high level of physical activity were less likely to have a high level of frailty.

CONCLUSIONS

Higher frailty is more prevalent among participants with unhealthy lifestyle behaviors related to smoking, alcohol consumption, sedentary and physical activity level, diet, and sleep. Differences in lifestyle behaviors of males and females of specific ages should be considered for managing frailty levels.

Determinants of frailty development and progression using a multidimensional frailty index: Evidence from the English Longitudinal Study of Ageing

Objective

To identify modifiable risk factors for development and progression of frailty in older adults living in England, as conceptualised by a multidimensional frailty index (FI).

Methods

Data from participants aged 50 and over from the English Longitudinal Study of Ageing (ELSA) was used to examine potential determinants of frailty, using a 56-item FI comprised of self-reported health conditions, disabilities, cognitive function, hearing, eyesight, depressive symptoms and ability to carry out activities of daily living. Cox proportional hazards regression models were used to measure frailty development (n = 7420) and linear regression models to measure frailty progression over 12 years follow-up (n = 8780).

Results

Increasing age (HR: 1.08 (CI: 1.08–1.09)), being in the lowest wealth quintile (HR: 1.79 (CI: 1.54–2.08)), lack of educational qualifications (HR: 1.19 (CI: 1.09–1.30)), obesity (HR: 1.33 (CI: 1.18–1.50) and a high waist-hip ratio (HR: 1.25 (CI: 1.13–1.38)), being a current or previous smoker (HR: 1.29 (CI: 1.18–1.41)), pain (HR: 1.39 (CI: 1.34–1.45)), sedentary behaviour (HR: 2.17 (CI: 1.76–2.78) and lower body strength (HR: 1.07 (CI: 1.06–1.08)), were all significant risk factors for frailty progression and incidence after simultaneous adjustment for all examined factors.

Conclusion

The findings of this study suggest that there may be scope to reduce both frailty incidence and progression by trialling interventions aimed at reducing obesity and sedentary behaviour, increasing intensity of physical activity, and improving success of smoking cessation tools. Furthermore, improving educational outcomes and reducing poverty may also reduce inequalities in frailty.

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.

Interaction between frailty and sex on mortality after elective abdominal aortic aneurysm repair

BACKGROUND

Controversy exists surrounding gender outcome disparity and abdominal aortic aneurysm (AAA) repair. Previous reports have demonstrated worse outcomes for women undergoing open aneurysm repair (OAR); however, these differences are less evident with endovascular aneurysm repair (EVAR). Epidemiologic studies have documented that women score higher on most frailty assessment scales but paradoxically have longer life expectancy compared to men. The interaction of gender/frailty and the influence on outcomes and practice patterns surrounding EVAR and OAR is poorly described. This analysis characterizes the association of frailty/sex interactions on mortality as well as patient selection surrounding elective AAA repair in the Society for Vascular Surgery Vascular Quality Initiative.

METHODS

All elective infrarenal AAA (EVAR + OAR; 2003-2017) cases were queried from the Vascular Quality Initiative database. Each patient was assigned a previously published modified frailty index (mFI) score derived from comorbidity and preoperative functional status data. Cox proportional hazard models, adjusted for statistically significant covariates, including procedural complexity, determined associations within full models and sex-stratified models.

RESULTS

A total of 20,750 elective AAA cases were analyzed (EVAR 15,893 [77%]; OAR 4857 [23%]). Thirty-day mortality for EVAR and OAR was 0.7% (n = 115) and 3.5% (n = 169), respectively. Patients who died were significantly more likely to be older (EVAR, 78 vs 73 years; OAR, 74 vs 69 years; P < .0001), have larger AAA diameters (EVAR, 59 vs 56 mm; P = .005; OAR, 62 vs 59 mm; P = .001), higher mFI scores (EVAR, 3.2 vs 2.4; OAR, 3.1 vs 2.2; P < .0001), and be of female sex (EVAR hazard ratio = 1.66 [95% confidence interval, 1.10-2.52]; P = .007; OAR-1.43 [1.02-1.99]; P = .003). Significant differences in the gender distribution of frailty scores among EVAR patients were evident (mean mFI: male 2.42 vs female 2.34; P = .02), but no difference was detected for OAR (male 2.17 vs female 2.22; P = .38). The mFI was a strong independent predictor of mortality (30 days: EVAR hazard ratio = 1.36 [1.22-1.53] and OAR 1.46 [1.32-1.60]; 1 year: EVAR 1.32 [1.25-1.39] and OAR-1.38 [1.28-1.48]). There was no interaction between mFI and gender on the association with mortality. Across frailty strata, male patients were nearly twofold more likely to undergo either elective EVAR or OAR for an AAA below recommended minimum diameter thresholds (male, <5.5 cm; female, <5.0 cm). Greater mFI score did not alter OAR selection but was associated with less frequent EVAR of small AAA.

CONCLUSIONS

Given the strong association between frailty and postoperative mortality, mFI can be used as a predictive tool to aid in surgical planning of patients undergoing elective AAA repair. While mFI can predict postoperative mortality for both men and women, it does not account for the survival disparity between sexes, and further research is warranted to explain this difference. There appear to be significant gender differences in patient selection based on current Society for Vascular Surgery-endorsed treatment thresholds that may have important implications on the appropriateness of AAA care delivery nationally.

Gender-associated factors for frailty and their impact on hospitalization and mortality among community-dwelling older adults: a cross-sectional population-based study

Background

Frailty associated with aging increases the risk of falls, disability, and death. We investigated gender-associated factors for frailty.

Methods

Data of 3,079 geriatric subjects were retrieved from the National Health and Nutrition Examination Survey (NHANES) 2007–2010 database. After excluding 1,126 subjects with missing data on frailty, medical history and survival, data of 1,953 patients were analyzed. Main endpoints were frailty prevalence, mortality rates and causes of death.

Results

Frailty prevalence was 5.4% in males, 8.8% in females. Significant risk factors for geriatric frailty in males were being widowed/divorced/separated, low daily total calorie intake, physical inactivity, sleeping >9 h, smoking and hospitalization history; and in females were obesity, physical inactivity, sleeping <6 h, family history of diabetes and heart attack, and hospitalization history. Frail subjects had higher mortality rates (22.5% male; 8.5% female) than pre-frail (8.7% male; 6.4% female) and non-frail (5.4% male; 2.5% female). Main causes of death were heart diseases (41%) and chronic lower respiratory diseases (23.0%) in males and nephritis/nephrosis (32.3%) and chronic lower respiratory diseases (17.6%) in females.

Discussion

Factors associated with frailty differ by gender, with higher frailty prevalence in females and higher mortality in males. Gender-associated factors for frailty identified in this study may be useful in evaluating frailty and guiding development of public health measures for prevention.

Key Message

Common predictive factors for frailty among older adults of both genders, including more frequent previous hospitalizations, physical inactivity, and certain gender-associated factors for frailty, are consistent with results of other NHANES studies in which self-reported higher levels of illness and sedentary behavior were directly associated with frailty.

Does current smoking predict future frailty? The English longitudinal study of ageing

Background

smoking is the single most preventable cause of morbidity and mortality. The evidence on independent associations between smoking in later life and incident frailty is scarce.

Objectives

to examine the effect of current smoking in older people on the risk of developing frailty, controlling for important confounders.

Methods

we used data of 2,542 community-dwelling older people aged ≥60 years in England. Participants were classified as current smokers or non-smokers. Frailty was defined using modified Fried criteria. Multivariable logistic regression models were used to examine risk of 4-year incident frailty in current smokers compared with non-smokers, adjusted for demographic, socioeconomic and health variables.

Results

of 2,542 participants, 261 and 2,281 were current smokers and non-smokers, respectively. The current smokers were significantly frailer, younger, with lower BMI, less educated, less wealthy and lonelier compared with non-smokers at baseline. In multivariable logistic regression models adjusting for age and gender, current smokers were twice as likely to develop frailty compared with non-smokers (odds ratio (OR) = 2.07, 95% confidence interval (CI) = 1.39-3.39, P = 0.001). The association is attenuated largely by controlling for socioeconomic status. Smoking remains significantly associated with incident frailty in fully adjusted models including age, gender, socioeconomic status, alcohol use, cognitive function and loneliness (OR = 1.60, 95% CI = 1.02-2.51, P = 0.04). The relationship is however attenuated when taking account of non-response bias through multiple imputation.

Conclusions

current smokers compared with non-smokers were significantly more likely to develop frailty over 4 years among community-dwelling older people. Given that smoking is a modifiable lifestyle factor, smoking cessation may potentially prevent or delay developing frailty, even in old age.

The male-female health-survival paradox in hospitalised older adults

OBJECTIVES

To determine whether the 'male-female health-survival paradox' is present in older hospitalised adults and to examine whether sex differences in the 'lethality' of acute medical conditions influence the relationship between sex and mortality.

STUDY DESIGN AND OUTCOME MEASURES

This study was a secondary analysis of prospective cohort data collected from 1418 Australian inpatients aged 70 years and over. Frailty was measured using a 39-variable Frailty Index (FI-AC). Analyses examined the relationship between sex, age, FI-AC and 28-day mortality. Survival models were adjusted for 'lethality' of acute conditions (high versus low mortality risk).

RESULTS

The FI-AC had a normal distribution in both sexes (female mean=0.34 (±0.13); male mean=0.31 (±0.15)). When adjusted for age, females had similar FI-AC scores to males (β coefficient=0.014, 95% confidence interval (CI)=0.00-0.028, p=0.056). There were 80 deaths in the sample, with females facing a significantly lower mortality risk than males of the same FI-AC and age (HR=0.39, 95% CI=0.25-0.63, p<0.001). Females were less likely than males to be admitted with a high-risk acute condition. Even so, this did not significantly reduce their survival advantage (HR=0.46, 95% CI=0.29-0.73, p=0.001).

CONCLUSION

The male-female health-survival paradox was not demonstrated in this study of older inpatients. Whilst females faced a significantly lower risk of near-term mortality, the sexes were found to have similar levels of frailty on admission to hospital. The sex mortality gap was not explained by sex differences in the 'lethality' of acute medical conditions.

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.

Carotid Artery Plaques, Carotid Intima-Media Thickness, and Risk of Cardiovascular Events and All-Cause Death in Older Adults: A 5-Year Prospective, Community-Based Study

We assessed the effect of asymptomatic carotid atherosclerosis (CAS) on the development of cardiovascular diseases (CVDs) in a community-based population aged ≥55 years in China. A total of 1376 residents underwent CAS assessment by ultrasonography in July 2009. New CVD events, including stroke and coronary heart events, were collected at the follow-up survey at the end of 2014. After adjusting for baseline demographic characteristics and traditional CVD risk factors, the risk of CVD in patients with minimal CAS (mean common carotid artery intima-media thickness [CCA-IMT] ≥1 mm and no plaques), nonstenotic plaques (carotid stenosis <50%), and stenotic plaques (carotid stenosis ≥50%) was 0.8 (hazard ratio [HR]: 0.75, 95% confidence interval [CI]: 0.33-1.69), 2.0 (HR: 2.01, 95% CI: 1.24-3.25), and 3.1 (HR: 3.05, 95% CI: 1.62-5.74) times greater, respectively, than that of patients without CAS (CCA-IMT <1 mm and no plaques). Our findings provide direct evidence of the independent predictive value of the severity of asymptomatic CAS for the development of CVD in older Chinese adults.

Frailty in Relation to the Risk of Alzheimer's Disease, Dementia, and Death in Older Chinese Adults: A Seven-Year Prospective Study

OBJECTIVES

To explore the relationship of general health decline assessed by frailty and risk of dementia and Alzheimer's disease (AD).

DESIGN

A seven-year prospective cohort study.

SETTING

Secondary analysis of data from the Beijing Longitudinal Study on Aging.

PARTICIPANTS

Urban and rural community-dwelling people aged 60 and older at baseline.

MEASUREMENTS

Frailty was quantified using the deficit accumulation-based frailty index (FI), constructed from 40 health deficits at baseline. Dementia was diagnosed by DSM-IIIR. AD and vascular dementia (VaD) were diagnosed by NINCDS-ADRDA and NINDS-AIREN. The relationships between frailty and the risk of dementia, AD and death were evaluated through multivariable models.

RESULTS

Of 2788 participants at baseline (1997), 171 (11.1%) reported a history of dementia. In seven years, 351 people developed dementia (13%: 223 AD and 128 other types of dementia) and 813 died (29%). After adjustment for age, sex, education, and baseline cognition, baseline frailty status significantly associated with Alzheimer's disease and dementia and death. For each deficit accumulated, the odds ratio of death increased by 5.7%, and the odds ratio of dementia increased by 2.9% (p < 0.001).

CONCLUSION

Frailty was associated with Alzheimer's disease and dementia over a seven years period. Frailty index might facilitate the identification of older adults at high risk of dementia for the application of the most effective, targeted prevention strategies.

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.

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.

Mortality in Relation to Frailty in Patients Admitted to a Specialized Geriatric Intensive Care Unit

Background.

In older adults admitted to intensive care units (ICUs), frailty influences prognosis. We examined the relationship between the frailty index (FI) based on deficit accumulation and early and late survival.

Methods.

Older patients (≥65 years) admitted to a specialized geriatric ICU at the Liuhuaqiao Hospital, Guangzhou, China between July–December 2011 (n = 155; age 82.7±7.1 y; 87.1% men) were followed for 300 days. The FI was calculated as the proportion present of 52 health deficits. FI performance was compared with that of several prognostic scores.

Results.

The 90-day death rate was 38.7% (n = 60; 27 died within 30 days). The FI score was correlated with the Glasgow Coma Scale, Karnofsky Scale, Palliative Performance Scale, Acute Physiology Score—APACHE II and APACHE IV (r² = 0.52 to 0.72, p < 0.001). Patients who died within 30 days had higher mean FI scores (0.41±0.11) than those who survived to 300 days (0.22±0.11; F = 38.91, p < 0.001). Each 1% increase in the FI from the previous level was associated with an 11% increase in the 30-day mortality risk (95% CI: 7%–15%) adjusting for age, sex, and the prognostic scores. The FI discriminated patients who died in 30 days from those who survived with moderately high accuracy (AUC = 0.89±0.03). No one with an FI score >0.46 survived past 90 days.

Conclusion.

ICU survival was strongly associated with the level of frailty at admission. An FI based on health deficit accumulation may help improve critical care outcome prediction in older adults.

Tobacco Stained Fingers and Its Association with Death and Hospital Admission: A Retrospective Cohort Study

BACKGROUND

Among smokers, the presence of tobacco stains on fingers has recently been associated with a high prevalence of tobacco related conditions and alcohol abuse.

OBJECTIVE

we aimed to explore tobacco stains as a marker of death and hospital readmission.

METHOD

Seventy-three smokers presenting tobacco-tar staining on their fingers and 70 control smokers were followed during a median of 5.5 years in a retrospective cohort study. We used the Kaplan-Meier survival analysis and the log-rank test to compare mortality and hospital readmission rates among smokers with and smokers without tobacco stains. Multivariable Cox models were used to adjust for confounding factors: age, gender, pack-year unit smoked, cancer, harmful alcohol use and diabetes. The number of hospital admissions was compared through a negative binomial regression and adjusted for the follow-up time, diabetes, and alcohol use.

RESULTS

Forty-three patients with tobacco-stained fingers died compared to 26 control smokers (HR 1.6; 95%CI: 1.0 to 2.7; p 0.048). The association was not statistically significant after adjustment. Patients with tobacco-stained fingers needed a readmission earlier than smokers without stains (HR 2.1; 95%CI: 1.4 to 3.1; p<0.001), and more often (incidence rate ratio (IRR) 1.6; 95%CI: 1.1 to 2.1). Associations between stains and the first hospital readmission (HR 1.6; 95%CI: 1.0 to 2.5), and number of readmissions (IRR 1.5; 95%CI: 1.1 to 2.1) persisted after adjustment for confounding factors.

CONCLUSIONS

Compared to other smokers, those presenting tobacco-stained fingers have a high unadjusted mortality rate and need early and frequent hospital readmission even when controlling for confounders.

Association Between Kidney Dysfunction and Carotid Atherosclerosis in Community-Based Older Adults in China

We investigated the association between kidney dysfunction and carotid atherosclerosis in community-based older adults. This study consisted of 1257 participants, aged 55 years and older and free of cardiovascular disease. Kidney dysfunction was classified as mild, moderate, and severe (estimated glomerular filtration rate, 45-59, 30-44, and <30 mL/min/1.73 m2, respectively). We found that the mean common carotid artery intima–media thickness (CCA-IMT) progressively increased with decrement in kidney function ( P < .001). Even mild kidney dysfunction was significantly associated with CCA-IMT thickening (CCA-IMT ≥1.0 mm; odds ratio [OR] 1.52; 95% confidence interval [CI] 1.16-1.99) compared to normal kidney function. A significantly increased presence of heterogeneous plaque was observed in relation to decreased kidney function ( P for trend = .011), that is, even a mild kidney dysfunction was a potential independent risk factor for heterogeneous plaque (OR 1.43; 95% CI 1.04-1.98). Mild kidney dysfunction may be a predictor of early or accelerated carotid atherosclerosis in older adults.

Exposure to secondhand tobacco smoke and the frailty syndrome in US older adults

Exposure to secondhand tobacco smoke (SHS) is a well-established risk factor for cardiovascular disease and lung cancer in nonsmoking adults. However, few studies have focused on the health consequences of exposure to SHS in older adults. This is the first study to assess the association between SHS and the frailty syndrome in the nonsmoking older adult population. Cross-sectional study was conducted among 2059 nonsmoking adults aged ≥60 years who participated in the third US National Health and Nutrition Examination Survey and had completed a physical examination. Exposure to SHS was assessed by serum cotinine concentrations and by self-reported data from the home questionnaire. Frailty was ascertained with a slight modification of the Fried criteria. Analyses were performed with logistic regression and adjusted for the main confounders. The median (interquartile range) concentration of serum cotinine was 0.095 (IQR 0.035-0.211) ng/mL. The prevalence of frailty was 6.0 %. The odds ratios (95 % confidence interval [CI]) of frailty comparing the second, third, and fourth to the lowest quartile of serum cotinine were, respectively, 1.44 (0.67-3.06), 1.46 (0.75-2.85), and 2.51 (1.06-5.95), p value for trend 0.04. An increased frequency of frailty was also observed in participants reporting to live with ≥2 smokers at home (odds ratio 5.37; 95 % CI 1.13-25.5). In the US nonsmoking older adult population, exposure to SHS was associated with an increased frequency of frailty. More efforts are needed to protect older adults from SHS, especially at home and in other areas not covered by smoke-free regulations.

Biologic aging, frailty, and age-related disease in chronic HIV infection

PURPOSE OF REVIEW

Effective therapies have transformed HIV infection into a chronic disease, and new problems are arising related to aging. This article reviews the aging process, age-related deficit accumulation and frailty, and how these might be affected by chronic HIV infection.

RECENT FINDINGS

Aging is characterized by acceleration in the rate of unrepaired physiologic damage an organism accumulates. HIV infection is associated with many factors that might affect the aging process, including extrinsic behavioral risk factors and co-infections, and multiple intrinsic factors, including intercellular communication, inflammation, and coagulation pathways. Whether each factor affects the aging process, they likely result in an increase in the risk of adverse health outcomes, and so give rise to frailty, likely with several clinical manifestations.

SUMMARY

Age-related deficit accumulation is influenced by both the background or environmental rate of insults an organism sustains and the efficacy of intrinsic damage control and repair mechanisms. Both processes are likely affected in people living with HIV infection.

Frailty in the Honolulu-Asia Aging Study: deficit accumulation in a male cohort followed to 90% mortality

BACKGROUND

A frailty index (FI) based on the accumulation of deficits typically has a submaximal limit at about 0.70. The objectives of this study were to examine how population characteristics of the FI change in the Honolulu-Asia Aging Study cohort, which has been followed to near-complete mortality. In particular, we were interested to see if the limit was exceeded.

METHODS

Secondary analysis of six waves of the Honolulu-Asia Aging Study. Men (n = 3,801) aged 71-93 years at baseline (1991) were followed until death (N = 3,455; 90.9%) or July 2012. FIs were calculated across six waves and the distribution at each wave was evaluated. Kaplan-Meier analyses and Cox proportional hazard models were performed to examine the relationship of frailty with mortality.

RESULTS

At each wave, frailty was nonlinearly associated with age, with acceleration in later years. The distributions of the FIs were skewed with long right tails. Despite the increasing mortality in each successive wave, the 99% submaximal limit never exceeded 0.65. The risk of death increased with increasing values of the FI (eg, the hazard rate increased by 1.44 [95% CI = 1.39-1.49] with each increment in the baseline FI grouping). Depending on the wave, the median survival of people with FI more than 0.5 ranged 0.84-2.04 years.

CONCLUSIONS

Even in a study population followed to almost complete mortality, the limit to deficit accumulation did not exceed 0.65, confirming a quantifiable, maximum number of health deficits that older men can tolerate.

Screening for frailty in primary care: a systematic review of the psychometric properties of the frailty index in community-dwelling older people

Background

To better accommodate for the complex care needs of frail, older people, general practitioners must be capable of easily identifying frailty in daily clinical practice, for example, by using the frailty index (FI). To explore whether the FI is a valid and adequate screening instrument for primary care, we conducted a systematic review of its psychometric properties.

Methods

We searched the Cochrane, PubMed and Embase databases and included original studies focusing on the criterion validity, construct validity and responsiveness of the FI when applied in community-dwelling older people. We evaluated the quality of the studies included using the Quality in Prognosis Studies (QUIPS) tool. This systematic review was conducted based on the PRISMA statement.

Results

Of the twenty studies identified, eighteen reported on FIs derived from research data, one reported upon an FI derived from an administrative database of home-care clients, and one reported upon an FI derived from routine primary care data. In general, the FI showed good criterion and construct validity but lacked studies on responsiveness. When compared with studies that used data gathered for research purposes, there are indications that the FI mean score and range might be different in datasets using routine primary care data; however, this finding needs further investigation.

Conclusions

Our results suggest that the FI is a valid frailty screening instrument. However, further research using routine Electronic Medical Record data is necessary to investigate whether the psychometric properties of the FI are generalizable to a primary care setting and to facilitate its interpretation and implementation in daily clinical practice.

Trial registration

PROSPERO systematic review register number: CRD42013003737.

Patient frailty: the elephant in the operating room

For most surgeons and many anaesthetists, patient frailty is currently the 'elephant in the (operating) room': it is easy to spot, but is often ignored. In this paper, we discuss different approaches to the measurement of frailty and review the evidence regarding the effect of frailty on peri-operative outcomes. We explore the limitations of 'eyeballing' patients to quantify frailty, and consider why the frail older patient, challenged by seemingly minor insults in the postoperative period, may suffer falls or delirium. Frailty represents a state of increased vulnerability to stressors, and older inpatients are exposed to multiple stressors in the peri-operative setting. Quantifying frailty is likely to increase the precision of peri-operative risk assessment. The Frailty Index derived from Comprehensive Geriatric Assessment is a simple and robust way to quantify frailty, but is yet to be systematically investigated in the pre-operative setting. Furthermore, the optimal care for frail patients and the reversibility of frailty with prehabilitation are fertile areas for future research.

Sex differences in the limit to deficit accumulation in late middle-aged and older Chinese people: results from the Beijing Longitudinal Study of Aging

Background.

On average, as people age, they accumulate more health deficits and have an increased risk of death. The deficit accumulation–based frailty index (FI) can quantify health and its outcomes in aging. Previous studies have suggested that women show higher FI values than men and that the highest FI score (the “limit to frailty”) occurs at a value of FI ~ 0.7. Even so, gender differences in the limit to frailty have not been reported.

Methods.

Data for this analysis were obtained from the Beijing Longitudinal Study of Aging that involved 3,257 community-dwelling Chinese people, aged 55+ years at baseline. The main outcome measure was 5-year mortality. An FI consisting of 35 health-related variables was constructed. The absolute and 99% FI limits were calculated for different age groups and analyzed by sex.

Results.

The mean level of the FI increased with age and was lower in men than in women (F = 67.87, p < .001). The 99% FI limit leveled off slightly earlier with a relatively lower value in men (60 years; 0.44 ± 0.02) compared with that in women (65 years; 0.52 ± 0.04). The highest absolute FI value was 0.61 in men and 0.69 in women. In both groups, people with an FI greater than or equal to the 99% limit showed close to 100% mortality by 5 years.

Conclusion.

Compared with men, women appeared to better tolerate deficits in health, yielding both relatively lower mortality and higher limit values to the FI. Even so, the FI did not exceed 0.7 in any individual.

Diabetes risk factors, diabetes risk algorithms, and the prediction of future frailty: the Whitehall II prospective cohort study

Objective

To examine whether established diabetes risk factors and diabetes risk algorithms are associated with future frailty.

Design

Prospective cohort study. Risk algorithms at baseline (1997–1999) were the Framingham Offspring, Cambridge, and Finnish diabetes risk scores.

Setting

Civil service departments in London, United Kingdom.

Participants

There were 2707 participants (72% men) aged 45 to 69 years at baseline assessment and free of diabetes.

Measurements

Risk factors (age, sex, family history of diabetes, body mass index, waist circumference, systolic and diastolic blood pressure, antihypertensive and corticosteroid treatments, history of high blood glucose, smoking status, physical activity, consumption of fruits and vegetables, fasting glucose, HDL-cholesterol, and triglycerides) were used to construct the risk algorithms. Frailty, assessed during a resurvey in 2007–2009, was denoted by the presence of 3 or more of the following indicators: self-reported exhaustion, low physical activity, slow walking speed, low grip strength, and weight loss; “prefrailty” was defined as having 2 or fewer of these indicators.

Results

After a mean follow-up of 10.5 years, 2.8% of the sample was classified as frail and 37.5% as prefrail. Increased age, being female, stopping smoking, low physical activity, and not having a daily consumption of fruits and vegetables were each associated with frailty or prefrailty. The Cambridge and Finnish diabetes risk scores were associated with frailty/prefrailty with odds ratios per 1 SD increase (disadvantage) in score of 1.18 (95% confidence interval: 1.09–1.27) and 1.27 (1.17–1.37), respectively.

Conclusion

Selected diabetes risk factors and risk scores are associated with subsequent frailty. Risk scores may have utility for frailty prediction in clinical practice.

Frailty Index in Europeans: association with determinants of health

AIM

The Frailty Index (FI) summarizes differences in health status within individuals, and the determinants of health drive that variability. The aim of the present study was to investigate the influence of education, income, smoking, alcohol intake and parental longevity on the FI variability in subjects of the same chronological age group.

METHODS

Analyses were based on a 40-item FI based on the first wave of the Survey of Health, Aging and Retirement in Europe (SHARE, http://www.share-project.org/), including 29 905 participants aged ≥50 years from 12 countries. For each sex, the sample was divided into age categories (50s, 60s, 70s, 80s and ≥90), and FI quartiles within age categories were calculated. Multivariate ordinal regressions were computed to assess the relative contribution of the health determinants on the FI quartiles in each age group.

RESULTS

In women, the most significant multivariate predictors were years of education (odds ratios [OR] around 0.9), and difficulties making ends meet (OR between 1.8 and 2.1). In men, the most significant multivariate predictors were years of education (OR around 0.9), difficulties making ends meet (OR between 1.6 and 2.1), mother's age at death (OR under 1), and father's age at death (OR under 1).

CONCLUSIONS

Consistently with the literature, education and income explained, in both sexes, cross-sectional variability in FI in subjects of the same chronological age group. The influence of parental longevity seemed to be greater in men, which mirrors previous studies showing that genetic factors might have a higher impact on longevity in men.