Background The Global Leadership Initiative on Malnutrition (GLIM) has developed new criteria for diagnosing patients with malnutrition. The aims of this study were to investigate the prevalence of malnutrition according to the GLIM criteria, Subjective Global Assessment (SGA), and Nutrition Risk Screening 2002 (NRS‐2002) and their association with long‐term mortality in patients hospitalized for acute illnesses. Methods A retrospective analysis was performed in a sample of 231 patients with different comorbidities hospitalized for acute illnesses in medical or surgical wards. Nutrition status was retrospectively assessed with GLIM criteria using patients’ records at admission in addition to SGA and NRS‐2002. The agreement between the tools was calculated using κ statistics, and the association of malnutrition according to each tool and mortality were analyzed using Cox regression analysis. Results The mean age of the patients was 62.2 ± 18.2 years, and 56.7% were women. The prevalence of malnutrition was 35.9% with GLIM criteria, 37.2% with SGA, and 38% with NRS‐2002. The agreement between tools was good (GLIM‐SGA, κ = 0.804; GLIM–NRS‐2002, κ = 0.784). During a median follow‐up period of 63.2 months, 79 deaths occurred. The sensitivity in predicting 5‐year mortality was 59.49%, 58.23%, and 58.23%, and specificity was 76.32%, 73.68%, and 72.37% for GLIM criteria, SGA, and NRS‐2002, respectively. After adjusting for confounders, GLIM criteria best predicted 5‐year mortality (hazard ratio, 3.09; 95% CI, 1.96–4.86; P < .001). Conclusions Our findings support the effectiveness of GLIM in diagnosing malnutrition and predicting all‐cause mortality among patients hospitalized for acute illnesses.

NRS-2002 is a valid tool to assess malnutrition risk in Turkish hospitalized patients.

Background: Several studies reported that impaired nutrition is associated with reduced muscle mass, muscle strength, and physical performance. Chewing ability is essential to maintain balanced oral nutrient intake. The study was designed to define the possible relationship between chewing ability and nutrition-related problems (malnutrition, sarcopenia, and frailty) in a holistic perspective. Methods: This cross-sectional study recruited adults aged ≥65 years. All patients were evaluated with comprehensive geriatric assessment. Sarcopenia was diagnosed according to European Working Group on Sarcopenia in Older People criterion. Malnutrition was determined according to body mass index, calf circumference, and Mini Nutritional Assessment short form (MNA-SF). Frailty status was diagnosed with the Clinical Frailty Scale. Masseter and gastrocnemius muscle thicknesses (MTs) were measured via ultrasonography imaging. Oral examinations were carried out by a dentist, and chewing performance was examined with a color-changeable chewing gum. Results: Overall, 135 older adults (76 females) were analyzed. Mean ± SD age was 75.7 ± 7.2 years; 37.0% of the patients were frail, 3.7% were malnourished, 12.6% were sarcopenic, and 20.0% had poor chewing function. In the poor chewing function group, age and frailty scores were increased and the MNA-SF scores, handgrip strength, skeletal muscle index, and masseter MT were reduced (all P < 0.05). After adjusting for confounders, regression analysis showed that low grip strength and low gastrocnemius MT were independently associated with poor chewing ability. Conclusions: Chewing ability was related to sarcopenia. Age and low grip strength in females and low cognitive scores and having low gastrocnemius MT in males were independent variables affecting chewing ability.

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Introduction: Many factors contribute to obesity, which is an important health problem in the world and in our country. The present study was conducted to investigate the effect of nutritional knowledge level on obesity among university students. Methods: The study was conducted with 252 university students. Anthropometric measurements (body weight, height, waist, hip circumference) were made and body mass index (BMI) and waist / hip ratio (WHR) were calculated. Bioelectrical impedance method was used for body fat analysis. The nutritional knowledge levels of the students were evaluated using the Adult Nutrition Knowledge Level Scale (YETBID). Results: Women had higher body fat ratio (p&lt;0.001). It was observed that 39.7% of male students and 14.3% of female students were obese (p&lt;0.001). There was no significant difference between genders regarding waist circumference measurement and WHR (p&gt;0.001). Smoking and alcohol consumption was higher among males (p&lt;0.05). Basic nutrition and food preference knowledge levels of females were higher than males (p&lt;0.05). There was no significant relationship between male and female students' BMI, waist circumference measurements, body fat ratios, WHR, their nutritional knowledge level and food preferences (p&gt;0.05). Conclusions: Although nutritional knowledge level of female students were better, their nutritional knowledge sub-scales, BMI, WHR, waist circumference and body fat ratios did not significantly differ from male students. More research is needed to reveal the effect of nutritional knowledge in preventing obesity.