Ramazan Mert Atan

Günümüzde çok işlenmiş besinlerin (ÇİB) tüketimi, olumsuz sağlık sonuçları ile ilişkilendirilmektedir. Ancak, ÇİB tüketiminin altında yatan besin seçimi motivasyonları belirsizliğini korumaktadır. Çalışmanın amacı, yetişkinlerde besin seçimi motivasyonları ve ÇİB tüketimini değerlendirmek ve bu değişkenler arasındaki ilişkileri incelemektir. Bu kesitsel araştırmada kolayda örnekleme yöntemi ile belirlenen 324 yetişkinin verileri analiz edilmiştir. Katılımcılara yüz yüze görüşme yöntemiyle Tanıtıcı Bilgi Formu, Tek Madde Besin Seçimi Testi ve Çok İşlenmiş Besin Tüketimi Kısa Tarama Anketi (ÇİBTA) sorularını içeren anket uygulanmıştır. Besin seçimi motivasyonları ile ÇİBTA toplam puanı arasındaki ilişki, her motivasyon için ayrı ayrı kurulan basit ve çok değişkenli doğrusal regresyon modelleriyle incelenmiştir. Katılımcıların yaklaşık %41’i yüksek ÇİB tüketim grubunda yer almıştır. Yüksek ÇİB tüketim grubunda yer alanların bir ana öğün tüketme, ana öğün atlama, haftada üç gün veya daha fazla yemek siparişi verme ve besin etiketi okumama oranları düşük ÇİB tüketim grubuna kıyasla daha yüksek bulunmuştur (p<0,05). Her motivasyon için ayrı ayrı kurulan çok değişkenli doğrusal regresyon modellerinde; sağlık (β=-0,253; p<0,001), doğal içerik (β=-0,174; p<0,01), ağırlık kontrolü (β=-0,221; p<0,001), çevre dostu (β=-0,146; p<0,01), hayvan dostu (β=-0,125; p<0,05), sosyal adalet (β=-0,111; p<0,05) motivasyonları ile ÇİBTA toplam puanı arasında negatif; ruh hali (β=0,171; p<0,01) ve duyusal çekicilik (β=0,108; p<0,05) motivasyonları ile ÇİBTA toplam puanı arasında pozitif ilişkiler tespit edilmiştir. Bu sonuçlar, yetişkinlerde besin seçim motivasyonları ile ÇİB tüketiminin ilişkili olduğunu ve bu motivasyonların ÇİB tüketimine yönelik gelecekteki araştırmalarda dikkate alınabilecek potansiyel faktörler olabileceğini göstermektedir.

Dietary habits are increasingly recognized as an important modifiable risk factor in the management and prevention of polyendocrine metabolic ovarian syndrome (PMOS). However, evidence regarding the relationship between the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet and PMOS is limited. The aim of this study is to investigate the relationship between the MIND diet score and PMOS, as well as its various phenotypes. This case-control study was conducted on 367 women (161 cases, 206 controls) who attended a gynecology and obstetrics clinic. PMOS and its phenotypes were determined according to the Rotterdam criteria. Data were collected face-to-face using the Demographic Information Form, anthropometric measurements, and the MIND Diet Adherence Scale. Multivariate logistic regression was used to estimate the relationship between the MIND diet and PMOS and its phenotypes. The significance level was p < 0.05. The median age of the case and control groups was 22.00 years. Phenotype A was the most prevalent in the case group (43.5%). In model 4, which included all confounding factors, it was found that the likelihood of PMOS was significantly lower in the Q4 group who had the highest MIND diet score compared to the Q1 group (AOR:0.166; 95% CI: 0.073-0.378). In terms of phenotypes, the likelihood of having phenotypes A, C, and D was significantly lower in the Q4 group (p < 0.05); however, no statistically significant relationship was found for phenotype B (p > 0.05). This case-control study found that a higher MIND diet score was associated with a lower likelihood of PMOS and of phenotypes A, C, and D.

The consumption of ultra-processed foods (UPFs) is increasing worldwide. However, there is limited information about the relationship between UPFs and kidn

Food systems are struggling to meet growing food demand due to the convergence of many global issues. In recent years, significant technological advances have been made to address the complex and multifaceted challenges facing the food industry. Industry 4.0 components such as artificial intelligence (AI), blockchain, robotic systems, and smart sensors are revolutionizing food production processes by increasing efficiency, reducing costs, and optimizing operational workflows. Continuous advancements in next-generation technologies are enabling rapid progress in the transition from traditional food production to precision production and smart food factories. However, despite these advancements, various economic and social barriers hinder the widespread adoption of Industry 4.0 technologies in the food sector. This section provides up-to-date information on the latest developments in the application of AI, robotics, automation, and blockchain technologies in food science, as well as application challenges and future perspectives.

Objective: This study aimed to investigate associations between meat attachment, food technology neophobia and physical activity levels in young adults. Materials and Methods: In this cross-sectional study, data collected from 775 young adults were analyzed. To collect the data, the Descriptive Information Form, Meat Attachment Questionnaire (MAQ), Food Technology Neophobia Scale (FTNS) and International Physical Activity Questionnaire-Short Form (IPAQ-SF) were used. In data analysis, descriptive statistics, simple and multiple linear regression analyses were performed. The significance level of statistical tests was accepted as p