Undernutrition in obese older adults by fat percentage.

OBJECTIVE: The prevalence of obesity by fat percentage has seen a steady increase in older adults in recent years, secondary to increases in fat mass in body composition, even in healthy aging. Malnutrition is a common geriatric syndrome with serious clinical outcomes. Increases in fat mass and waist circumference with healthy aging should not prevent the risk of malnutrition from being masked. Malnutrition is often ignored in obese older people due to low BMI cut-off values in many screening tests. The present study seeks to raise awareness of the need to assess the frequency of undernutrition and related factors in obese older adults. METHODS: The data of 2013 community-dwelling patients aged ≥ 60 years who applied to a university geriatrics outpatient clinic between April 2012 and November 2022 were analyzed retrospectively, of which 296 were found to be obese based on fat percentage and were included in the study. Demographic data and the presence of any geriatric syndromes were obtained retrospectively from the patient files, functional status was assessed using the KATZ Activities of Daily Living (ADL) Scale and the LAWTON-BRODY Instrumental Activities of Daily Living Scale (IADL); frailty was screened using FRAIL-scale; and the sample was assessed for malnutrition using the Mini Nutritional Assessment-Short Form (MNA-SF), with undernutrition defined as an MNA-SF score of [Formula: see text] The patients' fat percentage and weight were measured using a bioimpedance analyzer. Fatty obesity was defined using the Zoico methodology (fat percentage [Formula: see text] 27.3% for males, [Formula: see text] 40.7% for females)[Formula: see text] handgrip strength (HGS) was measured using a hand dynamometer, and probable sarcopenia was defined as low HGS based on regional cut-off values (35 kg for males, 20 kg for females). RESULTS: The mean age of the 296 fatty obese older adults (102 males/194 females) was 74.4 + 6.5 years, and the median fat was 42.2% (27.4-59.5). Undernutrition was detected in 19.6% of the patients based on MNA-SF screening. A univariate analysis revealed age, sex, educational status, daily physical activity status, depression, difficulty in swallowing, chewing difficulty, probable sarcopenia, number of chronic diseases, and IADL to be associated with undernutrition, while a multivariate logistic regression analysis revealed depression [OR = 3.662, 95% CI (1.448-9.013), p = 0.005] and daily physical activity status [OR:0.601, 95% CI (0.417-0.867), p = 0.006] to be independently associated with malnutrition in obese older adults based on fat percentage. CONCLUSION:  The present study clarifies the significance of undernutrition in obese older adults also in our country, and recommends undernutrition screening to be carried out, by fat percentage, on obese older adults, especially with depression and low daily physical activity.

Frailty and its associates in community-dwelling older adults.

OBJECTIVE: While the literature contains several studies on the frailty assessed during hospitalization and/or outpatient settings and nursing homes, few studies have assessed frailty in community-dwelling older adults. We investigated the prevalence of frailty and associated factors among older adults in a sample of community-dwelling older adults. METHODS: We included community-dwelling older adults >60 years living in the Fatih District of the Istanbul Province. We conducted the study between November 2014 and May 2015. We collected the data such as age, sex, number of diseases and drugs, functional status, frailty, the presence of geriatric syndromes, common diseases, and quality-of-life assessment. Frailty was evaluated by the FRAIL scale. RESULTS: A total of 204 adults (mean age: 75.4±7.3 years) were included, of whom 30.4% were robust, 42.6% were pre-frail, and 27% were frail. In multivariate analyses, associated factors of frailty were the number of drugs [odds ratio (OR)=1.240, p=0.036], the presence of cognitive impairment (OR=0.300, p=0.016), and falls (OR=1.984, p=0.048). CONCLUSION: The present study established the prevalence of frailty in a large district in the largest metropolis in the country through a valid screening method. Our results suggest that clinicians should consider frailty evaluation in patients with multiple drug usage, cognitive impairment, and falls.

The longitudinal associations of sarcopenia definitions with functional deterioration: a comparative study.

OBJECTIVE: Probable sarcopenia is a predictor of functional limitation in older adults. However, whether standard thresholds recommended by guides, or population-specific thresholds better predict impairment in functionality is an issue that needs to be enlightened. We aimed to study the associations of probable sarcopenia identified by the use of EWGSOP2 and population-specific thresholds with deterioration in functionality at follow-up and give prevalences of probable sarcopenia with different thresholds in older outpatients admitted to a tertiary health center. METHODS: In this retrospective, longitudinal follow-up study, we assessed handgrip strength (HGS) at the admission with a Jamar hand-dynamometer and diagnosed probable sarcopenia with standard and population-specific thresholds, i.e., 27 kg/16 kg, and 35 kg/20 kg in males/females, respectively. We evaluated activities of daily living (ADL) and instrumental ADL (IADL), with Katz and Lawton scales, at the admission and follow-up. To study whether probable sarcopenia was a predictor of impaired functionality, we defined two models for Cox regression analysis. We performed adjustments for age, sex, and nutritional status (assessed by Mini-Nutritional Assessment-Short Form) in Model 1 and defined Model 2 by adding low gait speed and frailty to the variables in Model 1. RESULTS: Among a total of 1970 patients, 195 had follow-up of median 560 days. The mean age was 75.5 ± 5.5, and 142 (72.8%) were female. In the basal evaluation, the prevalences of probable sarcopenia defined by the standard cut-offs and by population-specific cut-offs were 8.7% and 35.4%, respectively. In univariate analyses (Kaplan-Meier log-rank test), probable sarcopenia by population-specific cut-offs, but not EWGSOP2-cut-offs, was associated with deteriorations in both ADL (p = 0.04) and IADL (p < 0.001). In multivariate analyses, only the probable sarcopenia identified by population-specific cut-offs was independently associated with impairment in IADL in both models [HR (95%CI) = 1.88 (1.07-3.30), and 1.9 (1.04-3.6); for Model 1 and Model 2, respectively)]. CONCLUSION: Our findings suggested that the definition of probable sarcopenia identified by not standard, but population-specific thresholds more reliably predicted longitudinal deterioration of functionality in older outpatients. This finding might be considered as evidence supporting the use of population-specific cut-offs when the concern is sarcopenia diagnosis.

Frailty and its associates in community-dwelling older adults

SUMMARY OBJECTIVE: While the literature contains several studies on the frailty assessed during hospitalization and/or outpatient settings and nursing homes, few studies have assessed frailty in community-dwelling older adults. We investigated the prevalence of frailty and associated factors among older adults in a sample of community-dwelling older adults. METHODS: We included community-dwelling older adults >60 years living in the Fatih District of the Istanbul Province. We conducted the study between November 2014 and May 2015. We collected the data such as age, sex, number of diseases and drugs, functional status, frailty, the presence of geriatric syndromes, common diseases, and quality-of-life assessment. Frailty was evaluated by the FRAIL scale. RESULTS: A total of 204 adults (mean age: 75.4±7.3 years) were included, of whom 30.4% were robust, 42.6% were pre-frail, and 27% were frail. In multivariate analyses, associated factors of frailty were the number of drugs [odds ratio (OR)=1.240, p=0.036], the presence of cognitive impairment (OR=0.300, p=0.016), and falls (OR=1.984, p=0.048). CONCLUSION: The present study established the prevalence of frailty in a large district in the largest metropolis in the country through a valid screening method. Our results suggest that clinicians should consider frailty evaluation in patients with multiple drug usage, cognitive impairment, and falls.

Sarcopenic obesity versus sarcopenia alone with the use of probable sarcopenia definition for sarcopenia: Associations with frailty and physical performance.

BACKGROUND & AIMS: Ageing brings alterations in body composition, as skeletal muscle gradually declines and accumulation of adipose tissue accompanies it. Although sarcopenia (S) and obesity (O) were separately reported to be associated with frailty and poor physical performance, whether they bring more detrimental or favorable effect when they coexist (i.e. sarcopenic obesity; SO) is an issue needs clarification. We aimed to study the associations of SO and S alone with frailty and poor physical performance, by using probable S definition. METHODS: This was a retrospective, cross-sectional study including community dwelling older adults who were ≥60 years old and admitted to the outpatient clinic of a tertiary hospital between 2012 and 2020. We measured handgrip strength via hand dynamometer and defined decreased muscle strength as probable S. We performed bioimpedance analysis to evaluate body composition and used fat percentile method to define obesity. We assessed nutritional status via Mini-Nutritional Assessment-Short Form, frailty via FRAIL scale, and physical performance via Timed Up and Go (TUG) test. We examined the associations of four body phenotypes, i.e. non-S non-O, SO, S alone and O alone with frailty and impaired TUG in univariate and multivariate analyses (Model 1). We further performed a head to head analysis of SO vs S to see if one of them was associated more with frailty and impaired TUG (Model 2). RESULTS: There were 1366 older adults included in the study (mean age: 74.6 ± 6.9; 68.3% female). The prevalences of non-S non-O, S alone, SO and O alone were 53.5, 7.5, 2.8 and 36.2%, respectively. Multivariate analysis adjusted for age, gender and nutritional status revealed that both SO and S alone were independently associated with frailty and impaired TUG, with SO demonstrating lower odds than S alone (OR = 5.9 and 6.05 for frailty, and 3.9 and 4.4 for TUG, respectively). Head-to-head comparison between SO and S alone in Model 2 showed that two groups did not demonstrate significant difference in terms of the frailty and impaired TUG risk. CONCLUSION: Although SO and S groups demonstrated similar risks, obesity accompanying sarcopenia might show a favorable trend in terms of frailty and poor physical performance, compared to sarcopenia alone. Longitudinal studies are needed to reveal whether an obesity paradox exists for frailty and physical performance in older adults.