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- MakaleYalnız künye2026Scopus SJRQ1Effect of ultra-processed food consumption on premenstrual syndrome across different body mass index categories: a cross-sectional analysis
Köktürk, Seda Nur; Taş Yıldırım, Esra; Yardımcı, Hülya
Purpose – This study aimed to examine the association between ultra-processed food (UPF) consumption and premenstrual syndrome (PMS) across different body mass index (BMI) categories in women. Design/methodology/approach – A total of 480 women aged 20–49 years participated in the study between May 2024 and May 2025 in 3 cities in Türkiye. PMS symptoms were assessed using the Premenstrual Syndrome Scale (PMSS), and UPF intake was evaluated according to the NOVA classification using a food frequency questionnaire. Anthropometric measurements, including height and body weight, were taken by researchers, and BMI was calculated for each participant. Findings – The mean BMI of the participants was 24.2 ± 4.9 kg/m2, with an average daily UPF intake of 858.0 ± 133.3 g. Higher UPF intake was significantly associated with increased reporting of PMS, with 7.0% higher odds among normal-weight women, 19.0% higher odds among overweight women, and 41.0% higher odds among women with obesity. Moreover, as UPF consumption increased from the lowest (Q1) to the highest quartile (Q4), the odds of experiencing PMS symptoms were 2.65 times (OR: 2.65, %95 CI: 1.52–4.61), 2.85 times (OR: 2.85, %95 CI:1.60–4.95), and 3.07 times (OR: 3.07, %95 CI: 1.71–5.49) higher, respectively (p = 0.001). Research limitations/implications – These findings underscore a significant association between UPF consumption and PMS symptoms, particularly among women with obesity. Given the high prevalence of PMS and its substantial impact on women's well-being, dietary interventions aimed at reducing UPF intake may represent a promising approach for PMS management and prevention. Originality/value – To the best of our knowledge, this study is the first to examine the relationship between UPF intake and self-reported PMS presence across different BMI categories. 2026
- MakaleAçık Erişim2025Scopus SJRQ1Investigation of endocrine and cerebral response and nutrition and physical performance parameters according to bigorexia nervosa levels: a cross-sectional study in sports sciences faculty students
Erkılıç, Ali Ozan; Bayraktar, Bülent; Erkiliç, Tuğçe Orkun; Türkmen, Mutlu; Kul, Murat; Yönal, Mehmet
The aim of this study is to investigate the effects of Bigorexia nervosa (BGN) levels on endocrine (Asprosin, GLP-1) and cerebral (BDNF) responses and nutritional and physical (6MWT, Six-Minute Walk Test)), speed, metabolic equivalent unit (MET)) performance parameters in students of the faculty of sports sciences. This study investigated muscle dysmorphic disorder (MDD), physical activity levels, and specific hormonal markers in 120 university students (63 females, 57 males) aged 18–25 years, all studying sport sciences and reporting no existing health problems. Participants completed a demographic questionnaire, food frequency questionnaire and the Muscle Dysmorphic Disorder (Bigorexia) Inventory through face-to-face interviews. Physical activity was assessed using the 6-Minute Walk Test (6MWT) to measure walking distance, and Metabolic Equivalent (MET) was calculated based on the American College of Sports Medicine (ACSM) formula. Body Mass Index (BMI) was determined from anthropometric measurements of height and body weight. Saliva samples were collected to analyze Asprosin, BDNF, and GLP-1 hormone levels using the ELISA technique.Data were analyzed using number, percentage, mean, chi-square, t-test, Pearson correlation, and ANOVA tests. In all analyses, significance was accepted as p < 0.05. According to the demographic findings of the study, the majority of participants (64.2%) were third-year students, and 52.5% were female. The mean age of the participants was 22.01 years, the mean height was 168.59 cm, and the mean weight was 62.61 kg. 73.3% of the individuals were classified as normal weight, 12.5% as pre-obese, 11.7% as underweight, and 2.5% as obese. Men had significantly higher bigorexia and its subscale scores than women (p < 0.05), and bigorexia was positively correlated with height and negatively correlated with BMI (p < 0.01). Mean salivary BDNF levels were higher in participants consuming 1–2 meals per day (p = 0.035), and mean salivary asprosin levels were significantly higher in the obese group compared to the healthy group (p = 0.008). Additionally, a strong positive correlation was found between asprosin and GLP1 levels (r = 0.585; p < 0.01). Bigorexia status was significantly associated with meat, meat products, and fat consumption (p < 0.05), while no association was found with physical performance parameters such as 6MWT, speed, and MET (p > 0.05). The average MET value was found to be 4.53, indicating that participants generally engaged in moderate-intensity physical activity. In conclusion, examining endocrine (asprosin, GLP-1) and cerebral (BDNF) hormone responses, as well as nutritional and physical performance parameters, according to BGN levels reveals the impact of BGN on physiological and nutritional behaviors. Given the impact of BGN trends on students’ health, examining hormone profiles and their relationships with physical performance and nutrition is believed to significantly contribute to understanding the health problems associated with BGN and developing appropriate interventions.
