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.

This study aimed to investigate the prevalence of malnutrition according to the Global Leadership Initiative on Malnutrition (GLIM) criteria in community-dwelling older adults in Turkey. Malnutrition was assessed based on the GLIM criteria, and Mini-Nutritional Assessment-Short Form was used for screening. The severity of malnutrition was determined as severe or moderate based on the phenotypic criteria of GLIM. Five hundred sixty-nine (69% female, mean age 74.42±6.58 years) community-dwelling older adults participated in this study. The educational statuses of the participants were as follows: 17.2%, illiterate; 13.3%, literate; 35.3%, primary school; 7.0%, secondary school; 11.1%, high school; and 16.2%, university graduates. Among the participants, 16.4% were living alone, whereas 43.9% of them were living with their spouses. The rest were living with their extended families. According to the GLIM criteria, 24.5% (n=139) of the participants had malnutrition, and 13.9% of the total population had severe malnutrition. Age was significantly associated with malnutrition [odds ratio 1.064, 95% confidence interval (CI) 1.034-1.096, p<0.0001]. No significant difference was found between genders (p=0.207), education groups (p=0.323), and living status (p=0.434) in terms of malnutrition. However, women had higher malnutrition rates than men (26.0% vs. 21.0%) (risk ratio 0.757, 95% CI 0.494-1.160, p=0.207). The prevalence of malnutrition was 24.5%, whereas the rate of severe malnutrition was 13.9% in community-dwelling older adults. Women had higher rates of malnutrition, and age was associated with malnutrition. We recommend for researchers and clinicians to integrate the GLIM criteria into their practices to create a common language in malnutrition assessment.

Background: The increase in fat tissue and the decrease in muscle mass with advancing age have prompted researchers to explore the coexistence of sarcopenia and obesity, i.e. sarcopenic obesity (SO). SO may lead to malnutrition due to poor diet quality, while malnutrition may contribute to SO by causing further muscle loss and metabolic imbalances. Objectives: The aims were to investigate: (i) the prevalence of SO in community-dwelling older adults, (ii) the diagnostic ability of two different malnutrition methods, and (iii) the association between SO and malnutrition. Methods: Community-dwelling older adults (≥65 years) were invited to participate. SO assessment was conducted based on the ESPEN/EASO consensus criteria. Malnutrition was evaluated based on both the Global Leadership Initiative on Malnutrition (GLIM) criteria and the Mini-Nutritional Assessment (MNA). Results: Five hundred and ninety older adults (69.3% women, mean age: 74.31 ± 6.55 years) were included in the study. The overall prevalence of SO was 5.9% (n = 35). The prevalence of malnutrition was 23.9% according to the GLIM criteria, while it was 3.1% according to MNA. The agreement between the two measurements was ĸ = 0.32. There was no association between SO and malnutrition based on either GLIM (P: .06, OR: 1.971, 95% CI: 0.966–4.024) or MNA (P: .948, OR: 1.934, 95% CI: 0.119–7.306). Conclusions: Even though the agreement for diagnosing malnutrition between GLIM criteria and MNA was fair, the number of participants diagnosed with malnutrition by GLIM criteria was almost eight times higher than MNA. No association was established between SO and malnutrition defined by GLIM or MNA. Clinical trial number: NCT05122104.

This study aimed to investigate the frequency of sexual dysfunction (SD) and the association between SD and body composition abnormalities, such as sarcopenia, obesity, and sarcopenic obesity. Older adults (≥65 years) were included. Sarcopenic obesity was diagnosed by using newly defined ESPEN-EASO diagram. Sarcopenia was diagnosed according to the European Working Group on Sarcopenia in Older People criteria. Obesity was defined using the fat percentile cut-offs suggested by ESPEN-EASO. SD was determined by Arizona Sexual Experience Scale (ASEX). 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 (p < 0.0001). There was no association between SD and sarcopenia alone (OR: 1.359, 95% CI: 0.650-2.838, p = 0.415) or obesity alone (OR: 0.986, 95% CI: 0.543-1.791, p = 0.963). Sarcopenic obesity was significantly associated with SD (OR: 9.116, 95% CI: 1.173-70.851, p = 0.035). However, this significance was lost after the model was adjusted for gender, marital status, and comorbidities (OR: 4.676, 95% CI: 0.578-37.801, p = 0.148). SD was present in 66.7% of the older adults and was not associated with sarcopenia, obesity, or sarcopenic obesity. Further longitudinal studies are needed on this topic.