Search Results (608)

The growing dependence on fossil fuels has raised concerns over energy security, resource depletion, and environmental impacts, driving the need for renewable alternatives. Coffee husk, a widely available agro-industrial residue, represents an underutilized feedstock for biodiesel production. In this study, biodiesel was synthesized from coffee husk oil using a two-step transesterification process to address its high free fatty acid content (21%). Physicochemical analysis showed that Coffee Husk Oil Methyl Ester (CHOME) possessed a density of 863 kg m⁻³, viscosity of 4.85 cSt, and calorific value of 33.51 MJ kg⁻¹, compared to diesel with 812 kg m⁻³, 2.3 cSt, and 42.4 MJ kg⁻¹. FTIR analysis confirmed the presence of ester carbonyl and C–O functional groups characteristic of CHOME, influencing its combustion behavior. Engine tests were then conducted using B0, B10, B30, B50, and B100 blends under different loads, both with and without fuel preheating. Results showed that neat CHOME (B100) exhibited 11.8% lower brake thermal efficiency (BTE) than diesel, but preheating at 95 °C improved BTE by 5%, with preheated B10 slightly surpassing diesel by 0.5%. Preheating also reduced brake-specific fuel consumption by up to 7.75%. Emission analysis revealed that B100 achieved reductions of 6.4% CO, 8.3% HC, and 7.0% smoke opacity, while NOx increased only marginally (2.86%). Overall, fuel preheating effectively mitigated viscosity-related drawbacks, enabling coffee husk biodiesel to deliver competitive performance with lower emissions, highlighting its potential as a sustainable waste-to-energy fuel. Full article

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) has become one of the most prevalent liver diseases, affecting up to 40% of adults and strongly associated with obesity and metabolic dysfunction. Despite the lack of approved pharmacological treatments, dietary interventions with plant-based foods, including the Mediterranean diet (MED), rich in numerous bioactive compounds may offer benefits for metabolic health and hepatic function. However, the role of individual plant foods in MASLD management remains unclear. Objectives: This review investigates the effects of specific plant-based foods, consumed as part of the MED and Dietary Approaches to Stop Hypertension (DASHs) diet, on metabolic outcomes, including hepatic function, in MASLD patients alone or in combination with comorbidities such as obesity, metabolic syndrome, and type 2 diabetes mellitus (T2DM). Methods: A systematic search was registered and conducted across nine databases to identify randomized controlled trials (RCTs) carried out in adults with MASLD and published between January 2020 and May 2025, following PRISMA guidelines. Results: Plant-based interventions including oranges, whole-grain products (WGPs), high-fiber buns (HFBs), beetroot juice (BJ), garlic, ginger, flaxseed, spirulina, rapeseed oil, sour tea, and green coffee extract (GCE) demonstrated mixed effects on metabolic and hepatic outcomes. GCE, flaxseed, and rapeseed oil improved anthropometric measures, while sour tea and ginger supported blood pressure control. WGPs, GCE, flaxseed, rapeseed oil, spirulina, ginger, and garlic were beneficial for glycemic regulation, whereas WGPs, HFBs, BJ, golden flaxseed, rapeseed oil, and garlic improved lipid profiles. Liver enzymes improved following consumption of WGPs, BJ, sour tea, flaxseed oil, and garlic, and hepatic steatosis was reduced after intake of oranges, WGPs, HFBs, BJ, flaxseed powder, rapeseed oil, and garlic powder. Conversely, a solely fruit-rich diet (FRD) had negative effects across all outcomes. Conclusions: Plant-based foods improved metabolic outcomes, with WGPs, HFBs, beetroot, oranges, sour tea, flaxseed oil, and garlic providing specific benefits for liver health. Further research is needed to validate these effects and ensure their safety in MASLD management. Full article

Background/Objectives: Diabetic retinopathy is a leading cause of blindness in diabetic patients, with disease susceptibility influenced by both genetic and environmental factors. This study aimed to identify novel genetic variants associated with DR and evaluate interactions between polygenic risk scores (PRS) and lifestyle factors in a Korean diabetic cohort. Methods: After excluding subjects with non-diabetic retinopathy eye diseases (n = 2519), we analyzed data from 50,361 non-diabetic controls, 4873 diabetic participants without retinopathy (DM-NR), and 165 with diabetic retinopathy (DM-DR). We conducted genome-wide association studies comparing DM-NR and DM-DR groups, performed generalized multifactor dimensionality reduction (GMDR) analysis for epistatic interactions, developed unweighted PRS models, and examined PRS–lifestyle interactions using two-way analysis of covariance. Results: DM-DR prevalence showed strong associations with metabolic syndrome and its components. Five novel genetic variants were identified: ABCA4_rs17110929, MMP2-AS1_rs2576531, FOXP1_rs557869288, MRPS33_rs1533933, and DRD2_rs4936270. A significant three-way epistatic interaction among the first three variants was discovered through GMDR analysis. High-PRS individuals (scores 5–6) showed a 49-fold higher odds ratio of DM-DR compared to low-PRS individuals (scores 0–2; p < 0.0001). MAGMA analysis revealed enrichment in pathways related to protein degradation, vascular function, and neuronal signaling, with predominant upregulation in brain tissues. Significant PRS × lifestyle interactions were identified for fruit intake, coffee consumption, alcohol intake, eating duration, and physical activity, with lifestyle factors modifying genetic risk effects (all p < 0.003). Conclusions: These findings identify novel genetic variants and epistatic interactions in DM-DR pathogenesis, supporting the use of PRS-based risk stratification for intensive monitoring and personalized lifestyle interventions. The discovery of brain tissue-enriched pathways suggests DM-DR shares mechanisms with neurodegenerative diseases, expanding therapeutic targets beyond traditional vascular approaches. Full article

Background: New tools for monitoring diets, such as the Diet Quality Questionnaire (DQQ), may help reduce the costs and burden associated with traditional methods of diet assessment. However, its proposed sentinel foods require validation in target populations. This study aimed to validate the Chilean sentinel foods and describe the performance of DQQ, as well as its Global Dietary Recommendation (GDR) indicators, in two Chilean cohorts. Methods: We analyzed dietary data from 1418 pregnant women and 799 children using 24 h recalls. Foods and beverages were classified and ranked into 29 DQQ food groups. Food items that accounted for more than 95% of the total consumption within each of the 29 food groups were selected and identified as sentinels. We estimated the proportion of consumers in each food group and calculated the indicators, as well as their relationship with the consumption of ultra-processed foods (UPFs). Results: The pregnant women had a mean age of 29.1 (SD 6.6), and the children had a mean age of 6.2 (SD 0.5). The sentinel foods of six groups (grain-based sweets, other sweets, salty snacks, deep-fried food, and sweet tea/coffee/cocoa) captured under 95% of the group’s total consumption. The pregnant women had a higher frequency of consumption of staple and healthy foods, and the mean GDR score was 9.3 (SD 2.20). The children had higher consumption of unhealthy food groups, and the mean GDR score was 8.1 (SD 2.05). The GDR-protect scores showed a moderate but statistically significant negative correlation with ultra-processed food consumption (p-value < 0.0001). Conclusions: The DQQ is a suitable tool for collecting dietary data to estimate diet quality using food group-based indicators. Additionally, it is possible to identify different dietary patterns at a crucial stage of life, such as childhood and pregnancy. However, it requires some adaptations of sentinel foods and further testing on other populations before it can be implemented to monitor Chilean diets. Full article

Water consumption in adults usually reaches lower levels than the recommendations, and evidence of the beverage consumption habits of women in the stages around menopause is scarce. The aim of this study was to assess the consumption of beverages and to determine how physical, psychological, and environmental factors modify the hydration habits of reproductive-age and postmenopausal women in the northeast of Mexico. We carried out a cross-sectional study of 40–65-year-old female (n = 690) residents in the metropolitan area of Monterrey, Nuevo León state, Mexico, who were classified as reproductive (n = 263) and postmenopausal (n = 427). Anthropometrics, including body composition, beverage consumption, physical activity, and physical, psychological, and environmental factors, were assessed. There were no differences between the BMI and waist-to-height ratio of reproductive-age and postmenopausal women. The total daily beverage consumption did not differ between reproductive-age and postmenopausal women, with an average beverage consumption of 2723–2915 g/day. A third of the women studied consumed less than 1.5 L/day, and another third—mainly the younger participants—consumed between 1.5 and 2.0 L/day. The most consumed beverage was plain water, followed by regular soda, flavored beverages, coffee, and diet soda. Consumption of regular soda, flavored beverages, and milk was higher among reproductive-age women. The postmenopausal women indicated a higher consumption of plain water and juices. Similar effects of physical and psychological factors and environmental temperature on the beverage consumption of reproductive and postmenopausal women were observed. Physical activity, maximum daily temperature, and body composition were the factors that conditioned beverage intake. Full article

The mutagenic potential of coffee by-products, including Coffea leaves, blossoms, cherries, and silverskin, was studied using thin-layer chromatography (TLC) coupled with the recent planar Ames bioassay via pH indicator endpoint. The 2LabsToGo-Eco allowed for the separation and detection of mutagens in complex samples. Hot water was the most effective extraction solvent in terms of yield and closely simulated the typical human consumption of coffee by-products. Separation was performed on TLC plates with a mixture of ethyl acetate, n-propanol, and water, followed by bioassay detection. The positive control 4-nitroquinoline 1-oxide exhibited clear mutagenic responses, confirming the proper bioassay performance. In the Ames bioautogram, none of the tested coffee by-products showed mutagenic zones, suggesting the absence of strongly acting, acute mutagens under the applied test conditions; however, given the only 5 h short incubation and the use of TA98 strain only, a longer incubation time and testing with additional Salmonella strains is recommended. The results provide new safety data for Coffea leaves and blossoms and are consistent with some previous studies demonstrating the safety of coffee by-products. However, further improvements in the sensitivity and selectivity of the planar Ames bioassay are demanded, and further in vivo and long-term safety studies are recommended. Considering natural variability, the different uses of pesticides and treatments, and the fluctuating supply chains, coffee by-products may differ highly. The planar bioassay technology using the affordable 2LabsToGo-Eco is a powerful toxicological screening option for the coffee industry, considering the increasing interest in utilizing coffee by-products. Full article

Fermentation is a crucial stage in the production of washed mild coffees, as it enables the generation of compounds that influence overall quality. The conditions to optimize this process are still unknown. This study evaluated the effects of fermenting coffee fruits and depulped coffee under two conditions: an open tank (semi-anaerobic-SA) and a closed tank (self-induced anaerobic fermentation, SIAF) over 192 h. Samples were taken every 24 h using a sacrificial bioreactor. A randomized complete block design with a factorial arrangement (2 × 2 + 1), plus a standard control, was employed, incorporating two factors: coffee type and fermentation condition. High-throughput sequencing of 16S and ITS amplicons identified an average of 260 ± 71 and 101 ± 24 OTUs, respectively. Weisella was the dominant lactic acid bacteria, followed by Leuconostoc and Lactiplantibacillus. Acetic acid bacteria, mainly Acetobacter, were more abundant under semi-anaerobic conditions. The yeast genera most affected by the fermentation condition were Pichia, Issatchenkia, and Wickerhamomyces. Repeated measures analysis revealed significant differences in pH, glucose consumption, lactic acid production, dry matter content, embryo viability, and the percentage of healthy beans. Principal component analysis was used to develop an index that integrates physical, physiological, and sensory quality variables, thereby clarifying the impact of each treatment. Samples from shorter fermentation times and SIAF conditions scored closest to 1.0, reflecting the most favorable outcomes. Otherwise, samples from longer fermentation times in both depulped and coffee fruits scored 0.497 and 0.369, respectively, on the SA condition. These findings support technically and economically beneficial fermentation strategies. Full article

Coffee adulteration is a growing concern in the food industry due to economic and quality implications. This study evaluates a rapid, non-targeted fingerprinting method based on flow injection analysis–mass spectrometry (FIA-MS) for detecting common coffee adulterants. A total of 119 samples were analyzed, including 43 coffee samples and 76 samples of common coffee adulterants (16 chicory, 10 barley, and 50 flour samples). FIA-MS combined with chemometric analysis allowed for the classification of pure and adulterated coffee samples with over 95% accuracy. Compared to LC-MS, the FIA-MS method showed a similar performance while offering significantly faster analysis and lower solvent consumption, making it a practical and sustainable option for high-throughput screening. For PLS regression studies, calibration and prediction errors were consistently below 0.91% and 11.7%, respectively. Furthermore, the methodology was compared with a non-targeted LC-MS approach, showing an excellent performance. Full article

Background/Objectives: This study aimed to assess the consumption of caffeinated beverages and the associated caffeine intake among Saudi adults, alongside a quantitative risk assessment using the hazard quotient (HQ) approach. Methods: A cross-sectional study was conducted, utilizing a validated Arabic Beverage Frequency Questionnaire to collect data on beverage consumption patterns. The participants reported the type, frequency, and quantity of caffeinated beverages consumed. We also calculated caffeine intake and assessed the associated health risks. Data were collected from 4367 participants across 13 regions in Saudi Arabia. Results: This study involved adult participants (18–65 years), with 45% females and 55% males. The mean age of the participants is 35 years. The participants reported the type, frequency, and quantity of caffeinated beverages consumed through a self-reported online survey. The most commonly consumed caffeinated beverages were Saudi coffee (79%), soft drinks (75%), and sweetened tea (69.3%). The highest consumption was observed in the 30–44 age group. The mean daily caffeine intake was 131 ± 1.4 mg/day (145 ± 2.3 mg/day for males, 120 ± 1.8 mg/day for females). Although female participants consumed more beverages, male participants had higher caffeine intake (p = 0.000). The mean HQ for caffeine exposure was 0.32, with a 95th percentile of 0.33, indicating no significant risk. Pregnant and lactating women’s caffeine intake also remained within safe limits. Conclusions: The average caffeine intake among Saudis is below 400 mg/day, suggesting no immediate health concerns. However, public health initiatives should focus on educating specific population groups about the safe limits of caffeine consumption. Full article

Background and Objectives: The COVID-19 pandemic placed substantial mental and physical burdens on healthcare workers, particularly nurses. In the post-pandemic period, sustained stress, elevated mental workload and disturbed sleep may continue to affect well-being and job performance. This study aimed to assess perceived stress levels, occupational stress, and sleep quality among Hungarian nurses, while identifying key demographic, occupational, and behavioral predictors. Materials and Methods: A cross-sectional, quantitative study was conducted from April to July 2022 among nurses employed in Hungarian general hospitals (N = 418). Data were collected via an online self-administered questionnaire. Stress and sleep quality were measured using the Perceived Stress Scale (PSS-14), Expanded Nursing Stress Scale (ENSS), and Groningen Sleep Quality Scale (GSQS). Statistical analysis included descriptive statistics, ANOVA, post hoc tests, t-tests, and Pearson’s correlation (p < 0.05). Results: The mean PSS-14 score was 27.82 (SD = 7.82), indicating moderate stress. Sleep quality was poor (mean GSQS = 7.29, SD = 4.28), with significant positive correlation with perceived stress (r = 0.442, p < 0.001). Low income, lower education, and high coffee or alcohol consumption, and multiple night shifts were significantly associated with higher stress and poorer sleep quality. Occupational stress and mental workload, as measured by ENSS, was highest in internal medicine (mean = 122.16, SD = 37.09; p = 0.033). The most burdensome ENSS subscale was “workload” (mean = 2.30, SD = 0.92), with “not enough staff to adequately cover the unit” identified as the most stressful item. Additional cognitive and emotional workload components included dealing with violent patients and a lack of emotional preparedness in supporting families. Conclusions: Post-COVID nurses in Hungary experience moderate stress and impaired sleep. Excessive workload, emotional demands, and shift patterns significantly contribute to psychological and cognitive strain. Institutional and policy-level interventions are needed to reduce occupational stress and promote workforce resilience. Full article

The study examined the association between body composition and beverage consumption and the risk of asthma and chronic obstructive pulmonary disease (COPD) and explored the single nucleotide polymorphisms (SNPs) involved in these associations by leveraging summary statistics from genome-wide association studies (GWAS) in nonoverlapping populations. The IEU OpenGWAS project was sourced for exposure datasets: body mass index, body fat percentage, fat-free mass, total body water mass, alcohol intake frequency, and coffee intake, and selected health outcome datasets: asthma and chronic obstructive pulmonary disease. Datasets were assessed and filtered using R, followed by a two-sample Mendelian randomization analysis. The MR Egger, weighted median, inverse variance weighted, simple mode, and weighted mode methods were used to examine the association between exposures and outcomes. Heterogeneity and pleiotropy analyses were used to evaluate the reliability of results. Additionally, SNPnexus was used to ascertain SNPs linked to established phenotypes, while SNP annotation was obtained from the Ensembl BioMart database via the biomaRt package. Genes belonging to overlapping groups were visualized using ComplexHeatmap. Higher body fat percentage (OR = 1.72, 95% CI: 1.23–2.41, p = 0.002), increased BMI (OR = 1.56, CI: 1.23–1.20, p = 2.53 × 10⁻⁴), and more frequent alcohol intake (OR = 1.34, CI: 1.08–1.68, p = 0.009) were associated with elevated COPD risk. Asthma risk was similarly increased with higher body fat percentage (OR = 1.60, CI: 1.23–2.21, p = 0.001), BMI (OR = 1.54, CI: 1.29–1.84, p = 2.23 × 10⁻⁶), fat-free mass (OR = 1.21, CI: 1.02–1.44, p = 0.032), and alcohol intake frequency (OR = 1.19, CI: 1.01–1.40, p = 0.039). Total body water mass and coffee intake were not associated with asthma and COPD. SNP annotation revealed that some genetic variants that influenced the association of the exposure variables with asthma and COPD were missense variants in several genes, including the evolutionarily highly conserved gene, SLC39A8 (rs13107325; C/A/T allele), and POC5 (rs2307111; T/A/C allele), as well as intronic variants in FTO (rs56094641; A/G/T allele) and NRXN3 (rs10146997; A/G allele). The discovery of the missense variants rs13107325 and rs2307111 in SLC39A8 and POC5, respectively, in addition to other intronic and synonymous SNPs suggests that these SNPs may have some roles in the development or progression of asthma and COPD. This may contribute to the identification of molecular signatures or biomarkers that forecast the risk, development, or therapeutic response of chronic lung diseases in persons with metabolic dysregulation, including obesity. Full article

Coffee is one of the most widely consumed beverages globally, with over 60% of Americans drinking it daily. This review examines coffee’s multifaceted impact on health and well-being, drawing on decades of research. Overall, the consensus is that moderate coffee intake is more beneficial than harmful across a wide range of health outcomes. Numerous large-scale, prospective cohort studies from around the world have consistently shown that moderate coffee consumption—typically three to five cups per day—is associated with reduced overall mortality and lower risk of major diseases such as cardiovascular diseases, diabetes, stroke, respiratory conditions, cognitive decline, and potentially several types of cancer, including liver and uterine cancers. Both caffeinated and decaffeinated coffee have shown benefits. The addition of sugar and cream to coffee may attenuate coffee’s positive health effects. Despite historical concerns, coffee consumption is not linked to increased risks of cancer, hypertension, or arrhythmia. However, some concerns remain. For pregnant women, coffee consumption should be limited to lower amounts, such that the daily intake of caffeine does not exceed 200 mg/day. Also, excessive caffeinated coffee intake may cause anxiety or sleep disturbances. Coffee’s health-promoting mechanisms include improved glucose balancing, increased physical activity, increased fat oxidation, improved lung function, and reduced inflammation. Beyond mortality and chronic diseases, coffee consumption affects many aspects of well-being: it supports hydration, boosts mental acuity, enhances physical performance, and may aid bowel recovery after surgery. While the field is well-studied via long-term observational cohorts, future research should focus on randomized controlled trials, Mendelian randomization studies, and granular analyses of coffee types and additives. Full article

Background: The consumption of coffee has been widely debated regarding its effects on health. This study aims to analyze the correlations between daily coffee intake and sleep, blood pressure, anthropometric measurements, and biochemical markers in individuals with type 2 diabetes (T2D) and hypertension over a 12-month period. Methods: An observational study was conducted with 40 participants with T2D and hypertension, comprising 20 females and 20 males. Participants were monitored for their daily coffee consumption over a 12-month period, being assessed every 3 months. Linear regression was utilized to assess interactions and relationships between variables, providing insights into potential predictive associations. Additionally, correlation analysis was performed using Pearson’s and Spearman’s tests to evaluate the strength and direction of linear and non-linear relationships. Statistical significance was set at p < 0.05. Results: Significant changes were observed in fasting blood glucose (FBG), glycated hemoglobin (HbA1c), body weight, body mass index, sleep duration, nocturnal awakenings, and waist-to-hip ratio (p < 0.05) over the 12-month study in both sexes. No significant differences were noted in the remaining parameters (p > 0.05). The coffee consumed by the participants was of the “traditional type” and contained sugar (2 g per cup) for 100% of the participants. An intake of 4.17 ± 0.360 cups per day was found at baseline and 5.41 ± 0.316 cups at 12 months (p > 0.05). Regarding correlation analysis, a higher coffee intake was significantly associated with shorter sleep duration in women (r = −0.731; p = 0.037). Conversely, greater coffee consumption correlated with lower LDL cholesterol (LDL-C) levels in women (r = −0.820; p = 0.044). Additionally, a longer sleep duration was linked to lower FBG (r = −0.841; p = 0.031), HbA1c (r = −0.831; p = 0.037), and LDL-C levels in women (r = −0.713; p = 0.050). No significant correlations were observed for the other parameters in both sexes (p > 0.05). Conclusions: In women, coffee consumption may negatively affect sleep duration while potentially offering beneficial effects on LDL-C levels, even when sweetened with sugar. Additionally, a longer sleep duration in women appears to be associated with improvements in FBG, HbA1c, and LDL-C. These correlations emphasize the importance of a balanced approach to coffee consumption, weighing both its potential health benefits and drawbacks in postmenopausal women. However, since this study does not establish causality, further randomized clinical trials are warranted to investigate the underlying mechanisms and long-term implications—particularly in the context of T2D and hypertension. Full article

Purpose: To review parental pre-pregnancy and pregnancy exposures in relation to pediatric cancer (diagnosis before age 20). Methods: We conducted literature searches using Ovid Medline and Scopus to find primary research studies, review articles, and meta-analyses published from 2014 to 17 March 2021. Results: Strong evidence links increased risk of childhood cancer with maternal diabetes, age, and alcohol and coffee consumption during pregnancy. Both paternal and maternal cigarette smoking before and during pregnancy are associated with childhood cancers. Diethylstilbestrol (DES) exposure in utero has long been known to be causally associated with increased risk of vaginal/cervical cancers in adolescent girls. More recent evidence implicates in utero DES exposure to testicular cancer in young men and possible intergenerational effects on ovarian cancer in the granddaughters of women exposed to DES during pregnancy. There is strong evidence that childhood cancer risk is also associated with both high and very low birth weight and with gestational age. Evidence is also strong for the protective effects of maternal vitamin consumption and a healthy diet during pregnancy. Unlike early studies, those reviewed here show no association between in utero exposure to medical ionizing radiation, which may be explained by reductions over time in radiation doses, avoidance of radiation during pregnancy, and/or by inadequate statistical power to detect small increases in risk, rather than a lack of causal association. Evidence is mixed or conflicting for an association between childhood cancer and maternal obesity, birth order, cesarean/instrumental delivery, and prenatal exposure to diagnostic medical radiation. Evidence is weak or absent for associations between childhood cancer and multiple gestations or assisted reproductive therapies, as well as prenatal exposure to hormones other than DES, and medications. Full article

Food addiction (FA) is an emerging psychiatric condition that presents behavioral and neurobiological similarities with other addictions, and its early identification is essential to prevent the development of more severe disorders. The aim of the present study was to determine the ability of anthropometric measures, eating habits, symptoms related to eating disorders (ED), and lifestyle features to predict the symptoms of food addiction. Methodology: A cross-sectional study was conducted in a sample of 702 university students (77.3% women; age: 22 ± 6 years). The Food Frequency Questionnaire (FFQ), the Yale Food Addiction Scale 2.0 (YFAS 2.0), the Eating Attitudes Test (EAT-26), anthropometric measurements, and a set of self-report questions on substance use, physical activity level, and other questions were administered. A total of 6.4% of participants presented symptoms compatible with food addiction, and 8.1% were at risk for ED. Additionally, 26.5% reported daily smoking, 70.6% consumed alcohol, 2.9% used illicit drugs, and 29.4% took medication; 35.3% did not engage in physical activity. Individuals with food addiction had higher BMI (p = 0.010), waist circumference (p = 0.001), and body fat (p < 0.001) values, and a higher risk of eating disorders (p = 0.010) compared to those without this condition. In the multivariate logistic model, non-dairy beverage consumption (such as coffee or alcohol), vitamin D deficiency, and waist circumference predicted food addiction symptoms (R²_Nagelkerke = 0.349). Indeed, the machine learning approaches confirmed the influence of these variables. Conclusions: The prediction models allowed an accurate prediction of FA in the university students; moreover, the individualized approach improved the identification of people with FA, involving complex dimensions of eating behavior, body composition, and potential nutritional deficits not previously studied. Full article