Mehmet Çavdar

Aim: This study examined the relationships among smartphone addiction, eating disorders, and obesity in university students. Methods: The sample comprised 204 female students aged 18–25 years who were studying at the Faculty of Health Sciences, İnönü University. Participants completed the Smartphone Addiction Scale– Short Form and the Eating Disorder Examination Questionnaire–Short Form, and their Body Mass Index was assessed. The data were analyzed using IBM SPSS Statistics, version 25.0. Results: The participants’ average age was 20.20±2.97 years, while their average BMI was 21.88±3.70 kg/m². Based on Body Mass Index categories, 68.6% were classified as normal weight, 13.7% as underweight, and 3.9% as obese. Average Smartphone Addiction Scale–Short Form and Eating Disorder Examination Questionnaire–Short Form scores were 28.75±11.15 and 1.14±1.29, respectively. Eating disorder scores were weakly but positively associated with smartphone addiction scores, and this relationship was statistically significant. Significant positive relationships of weak magnitude were also found between Smartphone Addiction Scale–Short Form scores and the Eating Disorder Examination Questionnaire–Short Form dimensions of shape and weight concern, body dissatisfaction, binge eating, and purging behavior. Nevertheless, the relationship between smartphone addiction and BMI did not reach statistical significance. Conclusion: These results indicate a weak relationship between smartphone addiction and eating disorder symptoms, including binge eating, body dissatisfaction, and purging, and suggest that smartphone addiction may adversely affect eating behaviors, body image, and mental health among young female university students. Further longitudinal studies across varied ages and genders are recommended to clarify this relationship.

School food policies are increasingly recognized as strategic public health interventions that contribute not only to child nutrition but also to environme

The search for alternative, cost‐effective, and side‐effect‐free therapies for hyperlipidemia remains a priority. This study evaluated the effects of probiotic Lacticaseibacillus casei ATCC 393, prebiotic d ‐tagatose, and their synbiotic combination on hyperlipidemia induced in BALB/c mice via a high‐fat, high‐cholesterol diet over 12 weeks. During the final 4 weeks, different groups received the respective treatments. Compared to the positive control (PC) group, synbiotic administration (SYN group) significantly reduced serum glucose by 32.8%, total cholesterol by 20.2%, HDL‐C by 28.0%, and triglycerides by 42.5% ( p < 0.05). Although serum albumin, alanine aminotransferase, and aspartate aminotransferase levels decreased by 3.9%, 5.2%, and 16%, respectively, these changes were not statistically significant ( p > 0.05), suggesting preserved liver function without adverse effects. Histological evaluation revealed a significant reduction in microvesicular steatosis and IL‐6 immunoreactivity scores exclusively in the synbiotic group, indicating alleviated hepatic lipid accumulation and inflammation. Although synbiotic treatment did not alter overall gut microbiota diversity or species richness, it selectively enriched certain taxa, resulting in dominance of Coprococcus, Parabacteroides, and Bacteroides genera as identified by LEfSe analysis (LDA score ≥ 4, p < 0.05). Conversely, Streptococcus and [Ruminococcus] abundances significantly declined from 3.59% to 1.1% and 7.25% to 0.75%, respectively ( p < 0.05). Collectively, these findings demonstrate that synbiotic supplementation effectively improves lipid profiles and mitigates hepatic lipid accumulation and inflammation without compromising liver function. The modulation of specific gut microbiota taxa further supports its therapeutic potential. Therefore, the synbiotic formulation investigated herein represents a promising alternative biotherapeutic approach for managing hyperlipidemia.

Aim: Picky eating behaviours are defined by negative attitudes towards certain foods and the restriction of food choices by these attitudes. This behaviour may be associated with obesity, sleep and quality of life. This study aims to examine the relationship between picky eating behaviour and sleep quality, obesity and well-being in women. Material and Methods: A questionnaire including socio-demographic information, Adult Picky Eating Questionnaire (APEQ), Pittsburgh Sleep Quality Index (PSQI), and World Health Organization Well-being Index (WHO-5) was administered to 78 female participants and anthropometric measurements were taken. Pearson correlation was used to test continuous variable relationships, ANOVA and Kruskal-Wallis H multiple groups tests were used to compare multiple groups. Results: The mean age of the participants was 41.0 ± 6.2 years, and the body mass index (BMI) was 26.7 ± 4.9 kg/m2. 45.5% of the participants said they were well. There were strong positive correlations between picky eating behavior, food presentation, food variety, food indifference, taste status, and APEQ total score and well-being (r=0.775, p

The Adductor Pollicis Muscle Thickness (APMT) value is the numerical value obtained by measuring the thickness that contains components such as tissue, skin, nerve and adipose tissue by means of a caliper. A new anthropometric measurement technique, APMT, is promising for clinical use in conditions such as obesity and malnutrition. In this study, it is aimed to compare APMT measurement with other anthropometric measurements in overweight-obese and normal weight female individuals. Healthy female individuals living in Sivas, between the ages of 18-25, overweight-obese and with normal weight were included in the study. APMT measurements were taken from both the right and left hands of the participants. The measurements were repeated twice and the average of the measurements was taken. The study sample was divided into normal weight and overweight-obese groups. A total of 46 individuals were included in the study by including 23 women in the groups. While obese individuals constitute 15.2% of the sample; overweight individuals constitute 34.8%. While APMT-R was 15.37±1.90, APMT-L was 15.04±1.78 mm in individuals with normal weight; APMT-R was 17.10±2.81 and APMT-L was 16.69±22.75 mm in overweight and obese individuals. APMT and APMT index values measured on both the right and left hands were found to be higher in overweight-obese individuals than in individuals with normal weight (p