Search Results (913)

Metabolic and bariatric surgery (MBS) is an effective treatment for severe obesity, though individual responses vary widely, partly due to genetic predisposition. This study investigates the association of a body mass index (BMI) polygenic score (PGS) with weight loss and metabolic outcomes following surgery. A cohort of 225 patients undergoing MBS was analyzed at baseline (T₀), six (T₆), and twelve (T₁₂) months, with anthropometric and biochemical parameters recorded at each time point. Total weight loss (TWL) and excess weight loss (EWL) percentages were calculated. PGS was computed using the LDpred-grid Bayesian method. The mean age was 45.9 ± 9.4 years. Males had a higher baseline prevalence of type 2 diabetes (T2D) and comorbidities (p < 0.001). Linear regression analysis confirmed an association between PGS and baseline BMI (p = 0.012). Moreover, mediation analysis revealed that baseline BMI mediated the effect of the PGS on %TWL at T₁₂, with an indirect effect (p-value = 0.018). In contrast, high-density lipoprotein-cholesterol (HDL-C) at T₆ and triglycerides (TG) at T₁₂ showed direct associations with the PGS (p-value = 0.004 and p-value = 0.08, respectively), with no significant mediation by BMI. This study showed a BMI-mediated association of PGS with %TWL and a direct association with lipid changes, suggesting its potential integration into personalized obesity treatment. Full article

Background: Type 2 diabetes (T2D) and overweight or obesity are strongly associated, with a high prevalence of these concomitant conditions contributing significantly to global healthcare costs. Given this burden, there is an urgent need for effective interventions. Mobile health (mHealth) technologies represent a promising strategy to address both conditions simultaneously. Objectives: This systematic review and meta-analysis aimed to evaluate the effectiveness of mHealth-based interventions for the management of adults with T2D and overweight/obesity. Specifically, it assessed the quantitative impact of these interventions on glycosylated hemoglobin (HbA1c), body weight, triglycerides, total cholesterol, low-density lipoprotein (LDL), and high-density lipoprotein (HDL) levels. Methods: A systematic search was conducted in PubMed, Web of Science, and Scopus databases from inception to 9 July 2025. The inclusion criteria focused on randomized controlled trials (RCTs) using mHealth interventions in adults with T2D and overweight/obesity, reporting HbA1c or weight as primary or secondary outcomes. The risk of bias was assessed using the Cochrane Risk of Bias tool 2. A total of 13 RCTs met the inclusion criteria. Results: Meta-analysis indicated significant improvements after 6–12 months of intervention in HbA1c (MD −0.23; 95% CI −0.36 to −0.10; p < 0.001; I² = 72%), body weight (MD −2.47 kg; 95% CI −3.69 to −1.24; p < 0.001; I² = 79%), total cholesterol (MD −0.23; 95% CI −0.39 to −0.07; p = 0.004; I² = 0%), and LDL (MD −0.27; 95% CI −0.42 to −0.12; p < 0.001; I² = 0%). Conclusions: mHealth interventions are effective and scalable for managing T2D and obesity, particularly when incorporating wearable technologies to improve adherence. Future research should focus on optimizing personalization, engagement strategies, and long-term implementation. Full article

Background: The global increase in type 2 diabetes mellitus (T2DM) cases necessitates the need for early detection of metabolic changes. This study investigated variations in liver enzymes, renal markers, electrolytes, and lipid profiles among T2DM patients stratified by hemoglobin A1c (HbA1c) categories to support early identification and better management of diabetes-related complications. Methods: A retrospective observational study at King Khalid University Hospital (KKUH), Riyadh, included 621 adult patients diagnosed with T2DM categorized into four HbA1c groups: normal (<5.7%), prediabetes (5.7–6.4%), controlled diabetes (6.5–7.9%), and uncontrolled diabetes (≥8.0%). Biochemical parameters included the liver profile: alkaline phosphatase (ALP) and bilirubin, renal profile: creatinine, blood urea nitrogen (BUN), glucose, sodium, and chloride, and lipid profile: cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides. Regression models identified predictors of ALP, cholesterol, and LDL. Results: ALP was higher in uncontrolled diabetes (89.0 U/L, Q1–Q3: 106.3–72.0) than in the prediabetes group (75.0 U/L, Q1–Q3: 96.8–62.3). Sodium and chloride were lower in uncontrolled diabetes (Na: 138.3 mmol/L, Q1–Q3: 140.3–136.4; Cl: 101.1 mmol/L, Q1–Q3: 102.9–99.4) compared to the normal group (Na: 139.5 mmol/L, Q1–Q3: 142.4–136.9; Cl: 103.5 mmol/L, Q1–Q3: 106.1–101.7). LDL was lower in uncontrolled diabetes (2.1 mmol/L, Q1–Q3: 2.8–1.7) than in the normal group (2.8 mmol/L, Q1–Q3: 3.7–2.2), while triglycerides were higher in patients with uncontrolled diabetes compared to the normal group (1.45 mmol/L, Q1–Q3: 2.02–1.11 vs. 1.26 mmol/L, Q1–Q3: 1.44–0.94). Regression models showed low explanatory power (R² = 2.1–7.3%), with weight, age, and sex as significant predictors of select biochemical markers. Conclusions: The study observed biochemical variations across HbA1c categories in T2DM patients, likely reflecting insulin resistance. Monitoring these markers in conjunction with HbA1c can enhance early detection and improve the management of complications. Full article

Background: Metabolic syndrome (MetS) is a multifactorial condition involving central obesity, dyslipidemia, hypertension, and impaired glucose metabolism, significantly increasing the risk of type 2 diabetes and cardiovascular disease. Objectives: Given the clinical heterogeneity of MetS, this study aimed to identify distinct metabolic phenotypes, referred to as metabotypes, using validated biomarkers and to examine their association with MetS. Materials and Methods: A total of 1245 Korean adults aged 19–79 years were selected from the 2016–2023 Korea National Health and Nutrition Examination Survey. Metabotype risk clusters were derived using k-means clustering based on five biomarkers: body mass index (BMI), uric acid, fasting blood glucose (FBG), high-density lipoprotein cholesterol (HDLc), and non-HDL cholesterol (non-HDLc). Multivariable logistic regression was used to assess associations with MetS. Results: Three distinct metabotype risk clusters (low, intermediate, and high risk) were identified. The high-risk cluster exhibited significantly worse metabolic profiles, including elevated BMI, FBG, HbA1c, triglyceride, and reduced HDLc. The prevalence of MetS increased progressively across metabotype risk clusters (OR: 5.46, 95% CI: 2.89–10.30, p < 0.001). In sex-stratified analyses, the high-risk cluster was strongly associated with MetS in both men (OR: 9.22, 95% CI: 3.49–24.36, p < 0.001) and women (OR: 3.70, 95% CI: 1.56–8.75, p = 0.003), with notable sex-specific differences in lipid profiles, particularly in HDLc. Conclusion: These findings support the utility of metabotyping using routine biomarkers as a tool for early identification of high-risk individuals and the development of personalized prevention strategies in clinical and public health settings. Full article

Obesity is currently one of the most critical public health problems. Although there is no doubt that obesity is a significant risk factor for developing metabolic disorders, this relationship is not completely straightforward. On the one hand, some patients affected by obesity are metabolically unhealthy, while others are metabolically healthy; on the other hand, metabolic syndrome (MetS) can also occur in people with a normal body weight. A commonly used tool for diagnosing obesity is the body mass index (BMI), but the search for better anthropometric measures is ongoing due to the significant limitations of this measure. Obesity can lead to MetS and cardiovascular diseases (CVDs). Adipose tissue dysfunction is the fundamental mechanism linking obesity and cardiometabolic diseases, which is rooted in the disturbed secretion of adipokines. The visceral adiposity index (VAI) is calculated based on the BMI, waist circumference (WC), blood triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) concentrations. It was proposed in 2010 by Amato et al. as a parameter indicating adipose tissue dysfunction and cardiometabolic risk. According to the research conducted so far, some data confirm a relationship between the VAI value and the risk of developing prediabetes, diabetes, insulin resistance, fatty liver disease, MetS, CVD, and chronic kidney disease. Further research is needed to support the implementation of VAI assessment in routine clinical practice. The purpose of this paper is to present the results of a narrative literature review summarizing current knowledge regarding the VAI and its usefulness in clinical practice for assessing cardiometabolic risk. Full article

Cardiovascular disease (CVD), particularly atherosclerotic cardiovascular disease (ASCVD), is the leading cause of death worldwide, driven by factors like oxidative stress, inflammation, and lipid metabolism disorders. Although phenolic compounds such as Tyrosol (Tyr) and Hydroxytyrosol (HTyr) found in extra virgin olive oil (EVOO) have shown promising antioxidant and anti-inflammatory effects, their specific roles in modulating oxidative stress biomarkers and high-density lipoprotein (HDL) functionality in elderly populations, especially in those with prior myocardial infarction, are not fully understood. This study aimed to investigate the effects of EVOO phenolic compounds on oxidative stress biomarkers and HDL functionality, and related metabolic outcomes in both healthy and post-myocardial infarction (post-MI) elderly individuals. This pilot randomized clinical trial study included healthy and post-MI participants aged 65–85 years. Participants in each group were randomly assigned to consume 25 mL per day of one of three types of olive oils: high phenolic (HTyr/Tyr) extra virgin olive oil (HP-EVOO), extra virgin olive oil (EVOO), or refined olive oil (ROO) for a period of 26 weeks. Blood samples were collected at baseline and post-intervention to assess key biomarkers. Plasma levels of (poly)phenols, malondialdehyde (MDA), total antioxidant capacity (FRAP), lecithin-cholesterol acyltransferase activity (LCAT), and serum paraoxonase-1 (PON-1) activity were measured. A total of 34 individuals completed the study (mean age: 74 years). Baseline characteristics, including sex, age, body mass index (BMI), weight, blood pressure, and inflammatory markers like C-reactive protein (CRP) levels, did not differ significantly between the two groups. A significant increase in both FRAP levels and PON-1 activity was observed in post-MI participants following HP-EVOO consumption compared to baseline (p = 0.014). No significant changes were observed in MDA levels, LCAT activity, or plasma (poly)phenols. These results indicate that HP-EVOO may enhance antioxidant capacity, particularly FRAP and PON-1 activity, in elderly post-MI individuals. The observed differences between groups suggest that underlying cardiometabolic status may influence the response to olive oil phenolic compounds. Further studies are needed to explore the long-term cardiovascular effects. Full article

Background: High-density lipoprotein cholesterol (HDL-C) is known for its cardiovascular and neuroprotective effects, but its association with cognitive function remains unclear, particularly in relation to genetic factors such as apolipoprotein E ε4 (APOE4). We aimed to investigate the association between serum HDL-C levels and cognition and to examine the moderating effect of APOE4 on this relationship. Methods: This cross-sectional study included 196 dementia-free older adults (aged 65–90) recruited from a memory clinic and the community. Cognitive function was assessed across multiple domains using the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) battery. Serum HDL-C levels were measured, and APOE4 genotyping was performed. Multiple linear regression analyses were conducted, adjusting for age, sex, APOE4 status, education, diagnosis, vascular risk, nutritional status, physical activity, and blood biomarkers. Results: Higher HDL-C levels were significantly associated with better episodic memory (B = 0.109, 95% confidence interval [CI]: 0.029–0.189, p = 0.008) and global cognition (B = 0.130, 95% CI: 0.001–0.261, p = 0.049). These associations were significantly moderated by APOE4 status. In APOE4-positive individuals, HDL-C was strongly associated with both episodic memory (B = 0.357, 95% CI: 0.138–0.575, p = 0.003) and global cognition (B = 0.519, 95% CI: 0.220–0.818, p = 0.002), but no such associations were observed in APOE4-negative participants. Conclusions: This study indicates a significant association between serum HDL-C levels and cognitive function, particularly in episodic memory and global cognition, with APOE4 status potentially moderating this relationship. While these findings may suggest a protective role of HDL-C in individuals at increased genetic risk due to APOE4, they should be interpreted with caution given the cross-sectional design. Future longitudinal and mechanistic studies are warranted to clarify causality and potential clinical implications. Full article

Background: Childhood obesity is a significant global health concern. Butyrylcholinesterase (BChE) has been shown to play a role in lipid metabolism. This study aimed to assess BChE activity, obesity-related and lipid-related indices, and dyslipidemia in obese and non-obese children, and to investigate the associations of these parameters with obesity among Thai children. Methods: The study included 661 Thai children, consisting of 338 with obesity and 323 with a normal weight. Anthropometric measurements, metabolic parameters, obesity- and lipid-related indices, and BChE activity were evaluated. Results: The obese group exhibited significantly higher BChE activity and obesity-related and lipid-related indices compared to the non-obese group (p < 0.01). Additionally, metabolic parameters—including glucose levels, triglyceride-glucose (TyG) index, and TyG-related indices—as well as the lipid profile, which included triglycerides (TG), non-high-density lipoprotein cholesterol (non-HDL-C), and very-low-density lipoprotein cholesterol (VLDL-C), were all significantly elevated in the obese group (p < 0.01). Obesity was associated with dyslipidemia (p < 0.01). Moreover, BChE activity showed a positive correlation with obesity-related and lipid-related indices, along with several metabolic parameters (p < 0.002). The upper stratum of BChE activity (OR = 5.356), the non-HDL-C/HDL-C ratio (OR = 2.185), and the TG/HDL-C ratio (OR = 1.703) were found to be effective in evaluating and predicting the risk of obesity, even after adjusting for potential covariates (p < 0.01). Conclusions: These findings indicate a significant relationship between obesity and increased BChE activity, lipid-related indices, and dyslipidemia in Thai children. Therefore, changes in BChE activity may be considered a factor associated with obesity, enhancing its potential as a marker for obesity assessment. Full article

High-density lipoprotein (HDL) and small dense low-density lipoprotein (sdLDL) represent two critical yet contrasting components in lipid metabolism and cardiovascular risk modulation. While HDL has traditionally been viewed as cardioprotective due to its role in reverse cholesterol transport and anti-inflammatory effects, emerging evidence emphasizes that HDL functionality—rather than concentration alone—is pivotal in atheroprotection. Conversely, sdLDL particles are increasingly recognized as highly atherogenic due to their enhanced arterial penetration, oxidative susceptibility, and prolonged plasma residence time. This review critically examined the physiological roles, pathological implications, and therapeutic interventions targeting HDL function and sdLDL burden. Lifestyle modifications, pharmacologic agents including statins, fibrates, PCSK9 inhibitors, and novel therapies such as icosapent ethyl were discussed in the context of their effects on HDL quality and sdLDL reduction. Additionally, current clinical guidelines were analyzed, highlighting a paradigm shift away from targeting HDL-C levels toward apoB-driven risk reduction. Although HDL-targeted therapies remain under investigation, the consensus supports focusing on lowering apoB-containing lipoproteins while leveraging lifestyle strategies to improve HDL functionality. In the setting of heart failure, particularly with preserved ejection fraction (HFpEF), alterations in HDL composition and elevated sdLDL levels have been linked to endothelial dysfunction and systemic inflammation, further underscoring their relevance beyond atherosclerosis. A comprehensive understanding of HDL and sdLDL dynamics is essential for optimizing cardiovascular prevention strategies. Full article

Background/Objective: Dyslipidemia significantly contributes to cardiovascular disease (CVD), with triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C) as key components. While genetics play a key role in lipid levels, the interplay between genetic predisposition and modifiable lifestyle factors remains unexplored in population-based studies. We aimed to study the associations between weighted polygenic risk scores (wPRS) for TG and HDL-C, lifestyle, and metabolic factors with lipid traits and CVD. Methods: In this cross-sectional study, genotype, metabolic and lifestyle data from an Israeli cohort (n = 5584 adults) were analyzed. Individual wPRSs were constructed for TG and HDL-C based on SNPs associated with each trait. Gene-environment (lifestyle and metabolic factors) associations were evaluated by stratifying participants into high wPRS (≥90th percentile) vs. lower wPRS (<90th percentile). Results: High wPRSs were significantly associated with unfavorable lipid profiles (higher TG and lower HDL-C) and elevated TG/HDL-C ratios. Males and females in the high wPRS_HDL had 97- and 10-fold higher odds of CVD, respectively (p < 0.0001). Individuals with a combined high wPRS_HDL and wPRS_TG showed a 44-fold increase in CVD odds (p < 0.0001). Obesity (BMI > 30) and HbA1c ≥5.7% were significantly associated with elevated TG and reduced HDL-C levels, particularly in high wPRS_HDL and WPRS_TG individuals, while moderate wine (1–3 drinks/week) consumption and coffee intake (≥1 cup/day) mitigated these effects, particularly among individuals with high wPRS. Conclusions: Risk stratification based on genetic, lifestyle and metabolic profiles may inform personalized prevention strategies for dyslipidemia. Full article

Atherosclerotic cardiovascular disease (ASCVD) remains the leading global cause of morbidity and mortality, even in the era of aggressive low-density lipoprotein cholesterol (LDL-C) lowering. This persistent residual risk has prompted a reevaluation of atherogenic lipid markers, with non-high-density lipoprotein cholesterol (non-HDL-C) and apolipoprotein B (Apo B) emerging as superior indicators of the total atherogenic particle burden. Unlike LDL-C, non-HDL-C includes cholesterol from all atherogenic lipoproteins, while Apo B reflects the total number of atherogenic particles regardless of cholesterol content. Their clinical relevance is underscored in populations with diabetes, obesity, and hypertriglyceridemia, where LDL-C may not adequately reflect cardiovascular risk. This review explores the biological, clinical, and genetic foundations of non-HDL-C and Apo B as critical tools for risk stratification and therapeutic targeting. It highlights discordance analysis, inflammatory mechanisms in atherogenesis, the influence of metabolic syndromes, and their utility in specific populations, including those with chronic kidney disease and children with familial hypercholesterolemia. Additionally, the role of lipoprotein (a), glycation in diabetes, and hypertriglyceridemia are examined as contributors to residual risk. Clinical trials and genetic studies support Apo B and non-HDL-C as more robust predictors of cardiovascular events than LDL-C. Current guidelines increasingly endorse these markers as secondary or even preferred targets in complex lipid disorders. The incorporation of Apo B and non-HDL-C into routine clinical practice, especially for patients with residual risk, represents a paradigm shift toward personalized cardiovascular prevention. The review concludes with recommendations for guideline integration, emerging therapies, and future directions in biomarker-driven cardiovascular risk management. Full article

Sedentary behavior among young women is increasingly associated with adverse metabolic and cardiovascular outcomes. The aim of this randomized controlled trial was to evaluate and compare the effects of three structured group fitness programs on anthropometric parameters, body composition, and lipid profile in overweight young women (N = 111, age 18–25, BMI ≥ 25). Participants were assigned to mix aerobics (E1, n = 27), kickbox aerobics (E2, n = 28), step aerobics (E3, n = 27), or a control group (C, n = 29). Each intervention lasted 12 weeks, with sessions conducted three times per week, each lasting 60 min. The results were analyzed using repeated measures ANOVA. Significant reductions were observed in body weight (−4.8 kg in E1, p < 0.01), waist circumference (−5.3 cm in E1, p < 0.001), and body fat percentage (−3.6% in E1, p < 0.01). High-density lipoprotein (HDL) increased by 7.4 mg/dL (p < 0.01), while low-density lipoprotein (LDL), total cholesterol, and triglycerides decreased by 12.1 mg/dL, 18.6 mg/dL, and 19.4 mg/dL, respectively (all p < 0.01). The most pronounced overall improvements were found in the mix aerobics group. In contrast, the control group showed significant deterioration in most variables, including a 2.1 kg weight gain and a 6.3 mg/dL increase in total cholesterol (p < 0.05). These findings confirm the superior effectiveness of mix aerobics as a non-pharmacological intervention to improve body composition (notably through reductions in body weight, fat percentage, and waist circumference) and cardiovascular biomarkers (such as increased HDL and decreased LDL, total cholesterol, and triglycerides) in young overweight women. Compared to kickboxing and step aerobics, mix aerobics consistently achieved the greatest improvements across all measured parameters, making it the most comprehensive and effective option among the three programs tested. Full article

Background: Currently, there is a lack of data regarding the reliability of different anthropometric, instrumental, and biochemical indexes in detecting metabolic syndrome (MetS) in pediatric patients with Prader–Willi syndrome (PWS). Therefore, this study aimed to compare the accuracy of different indices to identify the simplest and most accurate predictor of MetS in this at-risk population. Methods: We conducted a multicenter study involving 124 children and adolescents with PWS (61 males and 63 females), aged 13.6 ± 3.7 years. For each participant, we assessed all components of MetS, defined according to either the Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS (IDEFICS) study or the International Diabetes Federation (IDF) criteria, based on age. The following indexes were calculated: Body Mass Index (BMI), BMI standard deviation score (BMI-SDS), tri-ponderal mass index, body mass fat index, fat mass index, fat-free mass index, body shape index, visceral adiposity index, waist-to-height ratio, cardiometabolic index, total cholesterol/high-density lipoprotein cholesterol (HDL-C) ratio, and triglycerides/HDL-C (TG/HDL-C) ratio. Results: MetS was identified in 24 subjects (9 females and 15 males), representing 19.4% of the sample. When comparing the receiver operating characteristic (ROC) curves, the TG/HDL-C ratio and cardiometabolic index demonstrated significantly better performance than the other indices in detecting MetS, with no difference between the two. As a result, we focused on the TG/HDL-C ratio since it is the simplest measure, requiring no additional anthropometric data compared to the cardiometabolic index. Additionally, applying age- and gender-specific thresholds can further improve its accuracy. Conclusions: The TG/HDL-C ratio, which requires only two standard biochemical markers, provides the same accuracy as more complex indexes in detecting MetS in children and adolescents with PWS, making it the optimal predictor for MetS in this population. Full article

Background: Dyslipidemia affects over 30% of Chinese adults, with awareness rates below 20%. Promoting nutrition education programs in the general population is important, but few studies have investigated the specific strategies and their efficacy. Methods: This longitudinal study was conducted in a representative sample of community-dwelling adults in Lu’an City, central-eastern China. After recruitment and propensity score matching, the personalized and conventional nutrition education groups included 306 and 612 participants, respectively. We provided standardized nutrition education based on the Dietary Guidelines for Chinese Residents (2022) for the conventional group, and personalized nutrition advice based on individual food intake and the guidelines for the personalized group. Serum total cholesterol (TC), high-density lipo-protein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglycerides (TGs) were measured at baseline and again after follow-up. Results: Three years after the intervention, the average levels of TC, LDL-C, and TG in both groups all increased. After adjusting for covariates, an increase in HDL-C was greater in the personalized group than in the convention group, while the increment in TG was less pronounced. LDL-C changes were similar between the groups. The beneficial effect of personalized nutrition education on HDL-C levels was more pronounced in women (p_interaction < 0.05). Similar results were observed among participants with dyslipidemias and after excluding all lipid-lowering medication users. Conclusions: We conducted personalized nutrition education through medical students’ community practice projects among Chinese community residents, revealing that personalized nutrition education based on dietary surveys could significantly improve blood lipid profiles in general residents and individuals with dyslipidemias compared to conventional nutrition education. Full article

Background: The Mediterranean diet is considered one of the healthiest and safest diets for preventing chronic diseases. The primary objective of this study was to assess the association between adherence to the Mediterranean diet and the occurrence of prediabetes in a representative population of Bialystok, Poland. Prediabetes is a condition characterized by elevated blood glucose levels that are higher than normal but not yet in the diabetic range, indicating an increased risk of developing type 2 diabetes. Methods: The study participants were selected into healthy control (HC) and prediabetic (PreD) groups based on age and gender. Biochemical measurements included total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), fasting glucose (FG), glycated hemoglobin (HbA1c), high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6). Additionally, blood pressure, handgrip strength, anthropometric parameters, and body composition were measured. Information on patients’ social data, medical history, and lifestyle history was collected using questionnaires developed for this study. A standardized questionnaire, the Satisfaction with Life Scale (SWLS), was used to assess life satisfaction. Dietary total antioxidant capacity (DTAC) and dietary total polyphenol intake (DTPI) were determined using a 3-day nutritional interview and appropriate databases containing information on polyphenols and the antioxidant potential of food products. To assess adherence to the Mediterranean diet recommendations, a 9-item Mediterranean Diet Index (MDI) was used. Results: It was found that the mean MDI for the entire group was low (3.98 ± 1.74), and the HC was characterized by a significantly higher MDI compared to the PreD. A statistically significant positive correlation was found between MDI and HDL-C, whereas a negative correlation was found between MDI and FG, homeostatic model assessment for insulin resistance (HOMA-IR), diastolic blood pressure (DBP), IL-6, body mass index (BMI), waist-hip ratio (WHR), waist circumference, visceral fat mass, android/gynoid fat ratio. Conclusions: Abdominal obesity was shown to significantly reduce life satisfaction. In model 3, after adjusting for age, sex, dietary energy intake, alcohol consumption, and smoking, each additional MDI point indicated a 10% lower risk of prediabetes. Full article