In recent years, the trend toward plant-based beverages has continued to grow rapidly. This study aimed to assess the effects of sociodemographic characteristics and knowledge about plant-based beverages, subjective norms, perceived price, environmental protection, animal welfare, availability, and trust on attitudes and buying behavior toward these products. This study was conducted online using a two-part questionnaire prepared by considering the literature. This study included 935 participants, and our findings confirmed that the variable of environmental protection affects the attitude toward these products ($\mathsf{\beta }=$ 0.095; p = 0.007). Furthermore, gender, income level, lactose intolerance, and bloating due to cow’s or sheep’s milk influenced actual buying behavior (p < 0.05; p < 0.001). These findings indicate that people’s increased environmental protection awareness will positively influence attitudes towards plant-based beverages and that individuals who do not experience lactose intolerance and bloating due to cow’s or goat’s milk will have lower actual buying behavior. It was also determined that individuals with lower incomes bought more plant-based beverages. In conclusion, plant-based beverage marketers need to take into account individuals’ sociodemographic characteristics and environmental protection awareness when planning their marketing strategies.

Brain fog is a condition that is characterized by poor concentration, memory loss, decreased cognitive function, and mental fatigue. Although it is generally known as a long-term COVID-19 symptom, brain fog has also been reported to be caused by many other diseases. Thus, it is necessary to assess this condition in certain populations. This study aimed to evaluate the reliability and validity of the Brain Fog Scale in a Turkish population. We conducted the study in two phases. In a pilot study including 125 participants, we confirmed the suitability of the scale for validity analyses and then conducted exploratory (n = 230) and confirmatory factor analyses (n = 343). The Cronbach’s alpha value of the 23-item Brain Fog Scale was 0.966. In addition, the 23-item and three-factor structure was confirmed as a result of the analyses. These three factors are mental fatigue, impaired cognitive acuity, and confusion. We also found that participants previously diagnosed with COVID-19 had higher brain fog scores. This finding indicates that brain fog is an important condition that can accompany COVID-19. Furthermore, this validated construct has an acceptable fit and is a valid and useful tool for the Turkish population.

Background: Disordered eating attitudes are major public health concerns associated with adverse physical, psychological, and social outcomes. Therefore, brief, psychometrically sound screening tools are needed to identify individuals at risk early. The Eating Attitudes Test-7 (EAT-7) is a shortened screening tool developed to assess disordered eating attitudes. However, its Turkish validity and reliability have not been previously examined. Therefore, this study aimed to assess the validity and reliability of the Turkish version of the EAT-7 among Turkish-speaking adults. Methods: This methodological validation study was conducted between November 2025 and January 2026. Data were collected online using a snowball sampling technique. After a pilot study with 210 participants, the main study included 1635 adults aged ≥18 years. Exploratory factor analysis was performed with 500 participants, and confirmatory factor analysis was performed with an independent sample of 1135 participants. Internal consistency and construct validity were assessed. Convergent validity was evaluated through correlations with the EAT-26, Eating Disorder Examination Questionnaire-13 (EDE-Q-13), and Depression Anxiety Stress Scale Short Form (DASS-8). Results: The Turkish version of the EAT-7 demonstrated excellent internal consistency, with a Cronbach’s alpha coefficient of 0.925. The Kaiser–Meyer–Olkin value was 0.909, and Bartlett’s test results were significant. Exploratory factor analysis supported a single-factor structure explaining 70.133% of the total variance. Confirmatory factor analysis confirmed a good model fit. The total EAT-7 score was positively correlated with the EAT-26, EDE-Q-13, and DASS-8 scores. Conclusions: The Turkish version of the EAT-7 is a valid, reliable, brief, and practical screening tool for assessing disordered eating attitudes among Turkish-speaking adults.

Background: Clean food consumerism reflects consumers’ preferences for foods perceived as natural, authentic, transparent, and health-promoting. This study aimed to culturally adapt the Clean Food Consumerism Scale (CFCS) into Turkish and evaluate its psychometric properties. Methods: The CFCS was translated, back-translated, reviewed by experts, pilot-tested, and psychometrically evaluated. For the pilot study and factor analyses, the Turkish version was administered to 1637 adults, who were allocated to three mutually exclusive subsamples: n = 180 for the pilot study, n = 500 for EFA, and n = 957 for CFA. An additional, separate sample of 124 participants completed the CFCS twice at a three-week interval for the test–retest analysis. Internal consistency, construct validity, convergent validity, discriminant validity, criterion validity, and test–retest reliability were assessed using Cronbach’s alpha, item–total correlations, EFA, CFA, composite reliability (CR), average variance extracted (AVE), the Fornell–Larcker criterion, heterotrait–monotrait (HTMT) ratios, correlations with the Sustainable and Healthy Eating Behaviors Scale (SHEBS), and test–retest correlations. Results: The 18-item CFCS demonstrated excellent internal consistency (Cronbach’s α = 0.948). Sampling adequacy was supported by the KMO value (0.927) and significant Bartlett’s test (χ² = 7525.229, p < 0.001). EFA supported a five-factor structure comprising Perceived Health Benefits, Production Process Transparency, Authenticity, Perceived Ease of Use, and Familiarity, explaining 80.92% of the total variance. CFA supported the five-factor model. After adding one content-justified residual covariance between two closely related Perceived Health Benefits items, the final model showed acceptable fit (χ² = 641.39, df = 124, p < 0.001; CFI = 0.965, TLI = 0.956, NFI = 0.957, RMSEA = 0.066 [90% CI 0.061–0.071], SRMR = 0.047, GFI = 0.926, AGFI = 0.899). Standardized factor loadings ranged from 0.748 to 0.938, composite reliability from 0.873 to 0.940, and average variance extracted from 0.697 to 0.771. HTMT ratios for all factor pairs remained below 0.685 and the Fornell–Larcker criterion was satisfied for every factor, supporting discriminant validity. Test–retest reliability over three weeks was excellent (r = 0.889, p < 0.001), and CFCS scores were positively correlated with SHEBS scores (r = 0.441, p < 0.001). Conclusions: The Turkish version of the CFCS demonstrated strong validity, reliability, and temporal stability while preserving the original five-factor structure. It provides a psychometrically sound instrument for assessing clean food consumerism among Turkish-speaking adults and may support future research in nutrition, public health, sustainability, and consumer behavior.