Background: The rapid worldwide increase in the incidence of Alzheimer’s disease is associated with changing nutrition patterns. Recently, some articles have highlighted the link between Alzheimer’s disease and dietary cholesterol. It was found that elevated levels of some of its fractions in the brain and circulation affect metabolism. Summary: Previous studies have considered the relationship between Alzheimer’s disease and oxidized cholesterol molecules in the brain. To date, there are limited data available on the relationship between oxidized cholesterol in the brain and Alzheimer’s disease. There is a link between a diet high in cholesterol and its oxidized forms, leading to hypercholesterolemia, which is one of significant risk factors of dementia, and Alzheimer’s disease. Oxidized cholesterol can be absorbed in the small intestine and cross the blood-brain barrier, leading to increased inflammation and endogenous oxidative process. Animal-origin foods are sources of oxidized cholesterol, with cholesterol oxidation beginning already after slaughter and occurring during storage and processing. Key Messages: High-heat food preparation and storage of cooked products in the refrigerator followed by subsequent heating may significantly increase the amount of oxidized cholesterol products. Therefore, a diet low in cholesterol oxidation products and high in plants with antioxidative properties seems to be most preventable and should be implemented as early as possible.

Background: The rising consumption of ultra-processed foods, especially those high in added sugars, poses a growing public health concern. Although several tools exist to assess food addiction, there is a lack of validated instruments specifically designed to measure addiction-like behaviors related to sweet food intake. Objectives: This study evaluates the psychometric properties of the FitMIND Foundation Sweets Addiction Scale (FFSAS), adapted from the Yale Food Addiction Scale 2.0 (YFAS 2.0), using data from Polish adults recruited through the FitMIND Foundation. Methods: The FFSAS was evaluated by 11 expert judges on four criteria: clarity, content validity, linguistic appropriateness, and construct representativeness. Afterwards, 344 adult volunteers (mean age 40.6 ± 10.7 years, 78% female, mean body mass index (BMI) 27.86 kg/m²) completed online FFSAS and provided demographic data, BMI, and self-reported sweets consumption. Internal consistency was assessed with Cronbach’s alpha and external validity was examined through Spearman’s correlations. Moreover, we conducted Exploratory and Confirmatory Factor Analyses (EFA and CFA). Results: Content validity of the FFSAS was supported by expert validation. The scale demonstrated good overall internal consistency (α = 0.85), with specific criteria such as tolerance (α = 0.916) and withdrawal (α = 0.914) showing particularly high reliability. The FFSAS total score was moderately correlated with sweets consumption frequency (ρ = 0.39, p < 0.05) and feelings of guilt (ρ = 0.35, p < 0.05). Exploratory factor analysis (EFA) revealed a robust three-factor structure, explaining 68.6% of the variance; the individual factors (subscales) derived from this structure demonstrated excellent internal consistency (Cronbach’s α ranging from 0.951 to 0.962). Sampling adequacy was high based on Kaiser–Meyer–Olkin measure (KMO = 0.956). Confirmatory factor analysis (CFA) indicated suboptimal model fit (Comparative Fit Index (CFI) = 0.74, Tucker–Lewis Index (TLI) = 0.69, Root Mean Square Error of Approximation (RMSEA) = 0.14), with a significant chi-square test (χ² = 3761.76, p < 0.001). Conclusions: This pilot study demonstrated that the FFSAS may be a promising tool for assessing sweet food addiction in adults. Future research should focus on assessing the FFSAS’ suitability on more diverse populations in other countries for further validation.

Background: The rising consumption of ultra-processed foods, especially those high in added sugars, poses a growing public health concern. Although several tools exist to assess food addiction, there is a lack of validated instruments specifically designed to measure addiction-like behaviors related to sweet food intake. Objectives: This study evaluates the psychometric properties of the FitMIND Foundation Sweets Addiction Scale (FFSAS), adapted from the Yale Food Addiction Scale 2.0 (YFAS 2.0), using data from Polish adults recruited through the FitMIND Foundation. Methods: The FFSAS was evaluated by 11 expert judges on four criteria: clarity, content validity, linguistic appropriateness, and construct representativeness. Afterwards, 344 adult volunteers (mean age 40.6 ± 10.7 years, 78% female, mean body mass index (BMI) 27.86 kg/m²) completed online FFSAS and provided demographic data, BMI, and self-reported sweets consumption. Internal consistency was assessed with Cronbach’s alpha, external validity was examined through Spearman’s correlations. Moreover, we conducted the Exploratory and confirmatory factor analyses (EFA and CFA). Results: Reliability of the FFSAS was confirmed by the expert validation. The scale demonstrated the good overall internal consistency (α = 0.85), with subscales like Tolerance (α = 0.916) and Withdrawal (α = 0.914) showing particularly high reliability. The FFSAS scale was moderately correlated with sweets consumption frequency (ρ = 0.39, p < 0.05) and guilt (ρ = 0.35, p < 0.05). Exploratory factor analysis (EFA) revealed a robust three-factor structure, explaining 68.6% of the variance, with excellent internal consistency (Cronbach’s α = 0.951–0.962) and high sampling adequacy (KMO = 0.956). Confirmatory factor analysis (CFA) indicated suboptimal model fit (CFI = 0.74, TLI = 0.69, RMSEA = 0.14), with significant chi-square (χ² = 3761.76, p < 0.001). Conclusions: This pilot study demonstrated that the FFSAS may be a valid tool for assessing the sweet food addiction in adults. . Future research should focus on assessing the FFSAS suitability on more diverse populations of other countries, for further validation.