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Background: Even though the prevalence of sexual dysfunction (SD) is reported to be high in older adults in previous studies, it is rarely investigated with appropriate assessment tools which include all aspects of sexual life. Therefore, this study aimed to investigate the frequency of SD and the association between SD and body composition abnormalities such as sarcopenia, obesity, and sarcopenic obesity. Methods: Sarcopenia was diagnosed according to the European Working Group on Sarcopenia in Older People criteria. Obesity was defined using the fat percentile by Zoico methodology. SD was determined by Arizona Sexual Experience Scale (ASEX). Results: Two-hundred and sixty-seven volunteers (64.4% female, mean age 73.63 ± 6.22 years) participated in this study. One-hundred seventy-eight individuals (66.7%) had SD. It was present in 83.1% and 36.8% of the females and males, respectively (pConclusions: SD was present in 66.7% of the older adults. It was associated with sarcopenic obesity, but not with sarcopenia or obesity alone. Further longitudinal studies are needed to investigate the effect of body composition abnormalities on sexual activity in both genders.

This study aimed to evaluate different anthropometric and body composition measurements, including weight, body mass index (BMI), body fat percentage (fat%), skeletal muscle index (SMI), a body shape index (ABSI), waist circumference (WC), and hip circumference (HC), in relation to bone mineral density.This is a cross-sectional study of a total of 482 patients who consulted the geriatric outpatient clinic between 2018 and 2019. Patients were evaluated with dual-energy X-ray absorptiometry. Anthropometric measurements (HC, WC, weight, BMI, and ABSI), as well as body composition analysis (fat% and SMI) by bioimpedance analysis system, were performed. The patients were evaluated with the rapid Assessment of Physical Activity Index in terms of aerobic exercise habits.There was a significant correlation between lumbar spine (LS) T-score and SMI (r=0.36, p=0.000) and between LS T-score and weight (r=0.21, p=0.000), BMI (r=0.10, p=0.045) and WC (r=0.15, p=0.001). There was a statistically significant correlation between femur neck (FN) T-score and fat% (r=0.15, p=0.001), SMI (r=0.15, p=0.010), weight (r=0.22, p=0.000), BMI (r=0.20, p=0.000), WC (r=0.14, p=0.003), and HC (r=0.17, p=0.001). There was no statistically significant correlation between physical activity and LS T-score (n=353, r=0.08, p=0.16) and FN T-score (n=360, r=0.03, p=0.53). In multiple regression analysis, SMI contributes most in predicting FN and LS T-scores.Anthropometric measurements should be carefully selected in the geriatric population. Among the measurements, the strongest relationship was found between LS T-score and SMI.Bu çalışmanın amacı, farklı antropometrik ve vücut kompozisyonu ölçümlerini [ağırlık, vücut kitle indeksi (VKİ), vücut yağ yüzdesi (%yağ), iskelet kası indeksi (İKİ), vücut şekil indeksi (VŞİ), bel çevresi (BÇ) ve kalça çevresi (KÇ)] ölçmek ve bu ölçümlerin kemik mineral yoğunluğu ile ilişkisini araştırmaktır.Bu çalışma, 2018-2019 yılları arasında geriatri polikliniğine başvuran 482 hastanın dahil edildiği kesitsel bir çalışmadır. Hastaların kemik mineral yoğunlukları dual-enerji X-ışını absorbsiyometri ile değerlendirildi. Biyoimpedans analiz sistemi ile antropometrik değerlendirmeler ve ölçümler (KÇ, BÇ, ağırlık, VKİ, VŞİ) ve vücut kompozisyon analizi (%yağ, İKİ) yapıldı. Hastalar aerobik egzersiz alışkanlıkları açısından Fiziksel Etkinliklerin Hızlı Değerlendirilme Ölçeği aerobik bölümü ile değerlendirildi.Lomber omurga (LO) T-skoru ile İKİ (r=0,36, p=0,000) arasında ve lomber T-skoru ile ağırlık (r=0,21, p=0,000), VKİ (r=0,10, p=0,045) ve BÇ (r=0,15, p=0,001) arasında istatistiksel olarak anlamlı ilişki vardı. Femur boynu (FB) T-skoru ile %yağ (r=0,15, p=0,001), İKİ (r=0,15, p=0,010), ağırlık (r=0,22, p=0,000), VKİ (r=0,20, p=0,000), BÇ (r=0,14, p=0,003) ve KÇ (r=0,17, p=0,001) arasında istatistiksel olarak anlamlı korelasyon vardı. Fiziksel aktivite ile LO T-skoru (n=353, r=0,08, p=0,16) ve FB T-skoru (n=360, r=0,03, p=0,53) arasında istatistiksel olarak anlamlı bir ilişki yoktu. Çoklu regresyon analizinde İKİ, FB ve LO T-skorlarını tahmin etmeye en çok katkıda bulunan değişken olarak saptandı.Geriatrik popülasyonda antropometrik ölçümler dikkatli seçilmelidir. Ölçümler arasında en güçlü ilişki LO T-skoru ve İKİ arasında saptanmıştır.

PURPOSE The purposes of the study were: a) to investigate the prevalence of sarcopenia, obesity and sarcopenic obesity (SO) in older adults, b) to explore the effect of nutrition as mediator of the association between these entities and frailty. MATERIALS AND METHODS Older adults (≥65 years) were evaluated based on European Working Group on Sarcopenia in Older People criteria for the presence/absence of sarcopenia. Obesity was diagnosed by using Zoico methodology. FRAIL scale was used to evaluate frailty and nutritional status was assessed with Mini Nutritional Assessment (MNA). RESULTS Five-hundred-seventy individuals (68,9% female, mean age 74,41±6,57 years) were included. The prevalence of sarcopenia, obesity and SO were 18,6%, 28,9% and 11,2%, respectively. FRAIL scores were directly affected by having sarcopenia (β: 0.42, 95% CI: (0.21-0.67), p

In our study investigating the prevalence of osteosarcopenic obesity (OSO) in community-dwelling older adults and possible factors responsible for falls, we have found that prevalence of OSO is 10.7%. OSO does not significantly increase the odds of falling, whereas lower handgrip strength, ALMi and gait speed were independent factors associated with falls. The purposes of the study were (a) to determine the prevalence of osteosarcopenic obesity (OSO) in community-dwelling older adults and (b) to investigate the association between falls and possible factors in individuals with and without OSO. Medical records of patients aged ≥ 65 years were retrospectively reviewed. Individuals were diagnosed with OSO based on their T-score assessed by dual x-ray absorptiometry, handgrip strength, appendicular lean mass index (ALMi), gait speed and body fat percentile. Comorbidities, history of falls, depressive state, medications and anthropometric measures were also noted. A sample of 460 individuals were assessed (337 females; 123 males) and 49 patients were diagnosed with OSO. There was no statistically significant difference in falls between the two groups (OR: 0.768, 95% CI: 0.409–1.440, p: 0.41) and the presence of OSO was not significantly associated with increased odds of falling (OR: 1.755, 95% CI: 0.547–5.628, p: 0.344). Handgrip strength (OR: 0.931, 95% CI: 0.893–0.971, p: 0.001), ALMi (OR: 0.799, 95% CI: 0.708–0.901, p

Background/aim: The aim of this study was to assess the risk of malnutrition in hospitalized patients with three different tests and to compare these tests in terms of long hospitalization periods and sarcopenia. Materials and methods: Hospitalized patients in an internal medicine clinic were enrolled in this cross-sectional study. Patients were grouped as under 65 years (Group 1 = G1) and over 65 years old (Group 2 = G2). The nutritional status of the patients was evaluated with the Nutritional Risk Screening (NRS) 2002, Universal Malnutrition Screening Tool (MUST), Mini Nutritional Assessment Short Form (MNA-SF), and total Mini Nutritional Assessment (MNA) tests. Diagnosis of sarcopenia was assessed via bioimpedance analysis for muscle mass, a hand-grip strength test, and a "timed get up and go" test. Nutritional tests were compared in terms of sarcopenia and long hospitalization periods with receiver operating characteristic curve analysis. Results: Mean ages were 54 (G1, n = 84) and 76 (G2, n = 112) years old. Sarcopenia was found in 5% in G1 and 33% in G2. The MNA-SF in G1 (area under curve (AUC) = 0.585, P = 0.26; sensitivity 41%, specificity 44%) and the MUST in G2 (AUC = 0.614, P = 0.048; 25%, 86%) were better predictors of prolonged hospitalization. The MNA-SF was associated with sarcopenia in both groups (G1: AUC = 0.716, P = 0.147; 63%, 64% and G2: AUC = 0.762, P < 0.001; 86%, 48%). In addition, the MNA-SF was a better predictor of low lean muscle mass index (AUC = 0.762, P < 0.001; 86%, 48%), low grip strength (AUC = 0.594, P = 0.27; 65%, 50%), and reduced walking speed (AUC = 0.642, P = 0.01; 71%, 47%) in G2. Conclusion: None of the three tests are highly sensitive or specific for predicting sarcopenia. The MNA-SF is a better test to evaluate sarcopenia and/or related parameters than the others, and the MUST is related to prolonged hospitalization in older patients.