Estimated frailty prevalence among Israeli elderly - results from a cross sectional national survey

Frailty and its association with long-term mortality among community-dwelling older adults aged 75 years and over

BACKGROUND

Frailty, a significant risk factor for adverse outcomes and mortality, poses an emerging challenge with profound implications for public health and clinical practice. The measurement of frailty offers potential enhancements in healthcare services for older adults. The prevalence of frailty and its association with long-term mortality in a nationwide, unselected population of community-dwelling older adults, particularly those aged 75 and over, has not been previously studied on a large scale in Israel.

METHODS

A retrospective cohort study was conducted at Meuhedet Health Maintenance Organization, Israel's third largest healthcare service provider, serving 1,276,000 people (13.8% of Israelis). The prevalence of frailty and its association with all-cause mortality were studied among older adults aged 75 years and over who were followed for 2-8 years. Frailty, defined by the cumulative deficit method, utilized clinical data from the preceding 10-year period, comprising 28 chronic diseases and age-related health deficits.

RESULTS

The cohort included 43,737 older adults, with a median age of 77 years (IQR 75-82 years); among them, 19,300 (44.1%) were males. Overall, 19,396 (44.3%) older adults were frail: 12,260 (28.0%) mildly frail, 5,533 (12.7%) moderately frail and 1,603 (3.7%) severely frail. During the follow-up period 15,064 (34.4%) older adults died: 4,782 (39.0%) mildly frail, 3,016 (54.5%) moderately frail and 1,080 (67.4%) severely frail. Cox regression analysis demonstrated that mortality was associated with severe frailty (HR 2.63, 95%CI 2.45-2.80), moderate frailty (HR 2.05, 95%CI 1.96-2.14), and mild frailty (HR 1.45, 95%CI 1.39-1.51), independent of age, gender, and population sector. Among patients aged 90 years and over, no significant differences in cumulative survival were found between those with moderate and severe frailty (p = 0.408).

CONCLUSIONS

Frailty is prevalent among community-dwelling Israeli older adults aged 75 years and over, and it is associated with long-term mortality. Considering its association with long-term mortality across frailty levels until the age of 90, early identification and intervention for frailty are recommended within this population. Policymakers should consider the use of the cumulative deficit method for evaluating frailty at both the population health and clinical levels.

Approach to Obesity in the Older Population

Until recently, weight loss in older obese people was feared because of ensuing muscle loss and frailty. Facing overall increasing longevity, high rates of obesity in older individuals (age ≥ 65 years) and a growing recognition of the health and functional cost of the number of obesity years, abetted by evidence that intentional weight loss in older obese people is safe, this approach is gradually, but not unanimously, being replaced by more active principles. Lifestyle interventions that include reduced but sufficient energy intake, age-adequate protein and micronutrient intake, coupled with aerobic and resistance exercise tailored to personal limitations, can induce weight loss with improvement in frailty indices. Sustained weight loss at this age can prevent or ameliorate diabetes. More active steps are controversial. The use of weight loss medications, particularly glucagon-like peptide-1 analogs (liraglutide as the first example), provides an additional treatment tier. Its safety and cardiovascular health benefits have been convincingly shown in older obese patients with type 2 diabetes mellitus. In our opinion, this option should not be denied to obese individuals with prediabetes or other obesity-related comorbidities based on age. Finally, many reports now provide evidence that bariatric surgery can be safely performed in older people as the last treatment tier. Risk-benefit issues should be considered with extreme care and disclosed to candidates. The selection process requires good presurgical functional status, individualized consideration of the sequels of obesity, and reliance on centers that are highly experienced in the surgical procedure as well as short-term and long-term subsequent comprehensive care and support.

Nutritional profiling of frail and obese, community dwelling older subjects: Results from a national survey

INTRODUCTION

Less attention has been given to the detection and nutritional status and needs of obese frail/sarcopenic older subjects. The aim of this study was to characterize the nutritional composition in older (≥65 years), frail-prone, obese subjects (defined by either waist circumference [WC] or body mass index [BMI]).

METHODS

A cross-sectional study with analysis of the national survey "Mabat Zahav". Random sample of 1751 community dwelling Israeli older adults (≥65 years). Eleven nutritional factors formerly linked to frailty were a-priori selected based on the current literature. Data was extracted from a 24-hour dietary recall. Adherence for each nutritional factor was defined using the Dietary Reference Intakes (DRI), and aggregated into a sum score of the overall adherence (ranging from "0" to "11", where "fair" adherence was defined as ≥6; inadequate adherence otherwise). Frailty likelihood was estimated using a validated non-direct model, and associations of nutritional factors with frailty-likelihood in obese vs non-obese individuals were examined. Additionally, a decision tree procedure based on machine learning was applied in order to capture nutritional factors related to frailty, stratified by gender, as well as by WC and/or BMI.

RESULTS

Overall, the prevalence rates of frailty and pre-frailty were 7.1 and 57.6%, respectively. A "fair nutritional adherence" was less common among frail-prone compared to robust subjects (23.1% vs. 32.1%; p < 0.0001). The intake of most frailty-related nutritional factors did not co-segregate according to the presence of abdominal or BMI-defined obesity. Still, compared to robust normal/overweight subjects, frail-prone obese (by BMI) individuals had a higher rate of inadequate nutritional adherence (odds-ratio 1.842; p < 0.05). Of all 11 nutritional factors, folate in obese women and vitamin A (as retinol) and calcium in non-obese and obese men, respectively, were recognized as the most prominent predictors of frail-prone prevalence by the machine learning process. Although BMI was more closely associated with impaired intake of the 11 selected nutritional components than WC, this association was eliminated when frailty status, low income and education were considered.

CONCLUSIONS

Frail-prone subjects differed from robust subjects in their nutritional intake. Nutritional inadequacies related to frailty-likelihood were mostly seen among obese women and non-obese men. In the prediction of inadequate adherence to the DRI of 11 nutritional components, obesity is a weaker predictor than frailty, lower education and low income in older Israeli adults.

Association between cognitive reserve dimensions and frailty among older adults: A structured narrative review

Frailty is a broadly investigated geriatric condition, which is characterized by an increased vulnerability to stressors. It represents an extremely relevant public health issue, increasingly conceptualized in a multidimensional perspective. The concept of cognitive reserve (CR), as originally conceptualized by Stern, has been developed in the past decades as a potential factor able to determine individual differences in cognitive vulnerability and trajectories occurring with aging. Our purpose was to provide a comprehensive review of the literature exploring the relationship between CR dimensions, selected according to the Stern model, and frailty status. A review of the literature on the association between potential CR dimensions and frailty was carried out through PubMed, Web of Knowledge and Scopus. CR expressed in terms of education, occupation, premorbid intelligence quotient and leisure time activities was associated with frailty in both cross-sectional and longitudinal observations. The majority of reviewed evidence suggests a potential protective role of CR factors against the onset and the worsening of frailty among older adults. To the best of our knowledge, this is the first attempt to provide a comprehensive overview regarding the association between CR dimensions and frailty. Education, occupation, premorbid intelligence quotient and leisure time activities are able to interact with the general concept of frailty, rather than simply affecting the cognitive trajectory towards dementia. The lack of a unique and operationalized approach to the assessment of CR, as well as the wide heterogeneity of frailty evaluation tools and criteria, denote some methodological critical issues that need to be overcome. Geriatr Gerontol Int 2020; 20: 1005-1023..

Rapid Geriatric Assessment, Physical Activity, and Sleep Quality in Adults Aged more than 65 Years: A Preliminary Study

OBJECTIVE

(1) To evaluate geriatric syndromes using the Rapid Geriatric Assessment; (2) To investigate possible association of geriatric syndomes with physical activity and sleep quality in adults aged more than 65 years who applied to outpatients physical medicine and rehabilitation clinic.

DESIGN

A cross-sectional study.

SETTING

Outpatient physical medicine and rehabilitation clinic in Edirne, Turkey.

PARTICIPANTS

A total of 56 adults (mean aged 69.7 ± 4.0 (range, 65-80) years, 33 women).

MEASUREMENTS

The Rapid Geriatric Assessment, which includes the FRAIL Questionnaire Screening Tool for frailty, Simplified Nutritional Assessment Questionnaire (SNAQ), SARC-F Screen for Sarcopenia, and Rapid Cognitive Screen (RCS), was used to assess geriatric syndromes. The International Physical Activity Questionnaire (IPAQ) was used to obtain data regarding health-related physical activity. The Pittsburgh Sleep Quality Index (PSQI) was used to measure sleep quality during the past month.

RESULTS

The mean age of the patients was 69.7 ± 4.0 years. Of the 56 patients, 12.5% were frail, 50.0% were pre-frail, 35.7% had sarcopenia, 44.6% had a risk of weight loss, 33.9% had dementia, 57.1% were physically inactive, and 53.6% had poor sleep quality. The total FRAIL and SARC-F scores were positively correlated with the global PSQI score (correlation coefficient (r) = 0.300, p < 0.05; r = 0,327, p < 0.05, respectively) and negatively correlated with the total RCS score (r= -0,267, p < 0.05; r = -0,314, p < 0.05, respectively)). The total FRAIL score was positively correlated with the SARC-F score (r = 0.695, p < 0.001), and the concurrence of frailty and sarcopenia in the same patients was 10.7%. The global PSQI score was negatively correlated with the SNAQ score (r = -0.273, p < 0.05).

CONCLUSION

Frailty and sarcopenia were positively correlated with poor sleep quality and negatively correlated with cognition and physical activity. In clinical practice, the Rapid Geriatric Assessment and determination of physical activity level could assist in disability prevention.

Severe central obesity or diabetes can replace weight loss in the detection of frailty in obese younger elderly - a preliminary study

Purpose

Unwanted weight loss is one of the established criteria for the diagnosis of frailty. However, the relevance of this criterion to detect frailty in obese older adults has not been assessed. In particular, with the exception of malignancy, unwanted weight loss is not commonly seen in older obese subjects. Therefore, we tested the possibility that some obesity phenotypes and/or diabetes might be more useful in the detection of frailty in this setting.

Patients and methods

A preliminary cross-sectional study of 50 consecutive subjects was conducted at The Institute of Endocrinology, Metabolism and Hypertension, Tel-Aviv Sourasky Medical Center. Inclusion criteria were: young elderly (aged 65–75 years), with general and/or abdominal obesity, without cancer. Frailty was assessed directly using the Fried model, the five-item fatigue, resistance, ambulation, illnesses, and loss of weight (FRAIL) scale. Eventually, in the assessment of frailty, the weight loss criterion was replaced by one or several of obesity/diabetes-related variables each time: severity of obesity by body mass index, waist circumference (and their interaction), body fat, and diabetes. The receiver operating characteristic curves for functional impairment indices were plotted to compare the usefulness of the frailty accepted and adjusted models.

Results

The prevalence of frailty and pre-frailty in this cohort were 7/50 (14%) and 27/50 (54%), respectively, but unwanted weight loss was seen in three subjects (6%) only. The level of abdominal obesity had the strongest correlation with functional score (r=0.292, P<0.05). Frailty models which included either severe abdominal obesity or diabetes in lieu of unwanted weight loss had good sensitivity rates per each frailty score as compared with the original Fried model.

Conclusion

For detecting and/or screening for the frailty syndrome in obese young elderly, the level of abdominal obesity or diabetes may provide a useful marker.

Frailty measurement and its contribution to clinical care and health services: a commentary

Frailty is associated with poorer quality of life and higher healthcare utilization and spending. Despite its importance, no clear consensus exists on the definition of frailty. The recent IJHPR article by Buch et al. significantly contributes to the advancement of Israel’s understanding of frailty by estimating for the first time the prevalence of frailty in the country. This commentary discusses the context of past and current advancements in measuring frailty and discusses how frailty measurement can contribute to both clinical care and the organization of health services to care for frail older adults in Israel and other developed countries.