Search Results (191)

By analyzing the influence of the titanium–sapphire (Ti:S) crystal thermal effect on the laser resonator during the generation of a 689 nm laser, the thermal characteristics of the Ti:S crystal operating near the gain edge were investigated in this letter. On this basis, a Ti:S laser with high conversion efficiency suitable for operation at the wavelength of 689 nm was designed. Benefiting from the quantification of thermal effects, the beam waist size at the center of the Ti:S crystal was precisely controlled. Finally, a single-frequency continuous-wave 689 nm laser with an output power of 3.65 W was achieved, and the corresponding optical-to-optical conversion efficiency was up to 23.1%. Then, after locking the transmission peak of the inserted etalon to the resonance frequency of the resonator, the continuous-frequency tuning range of 17 GHz around 689 nm was realized by scanning the voltage applied to the piezoelectric transducer (PZT) mounted on the cavity mirror. Furthermore, based on the realized single-frequency continuous-wave tunable 689 nm laser source, the absorption spectra of strontium atoms near 689 nm were obtained, which established a promising method for preparing 689 nm laser sources designed for strontium atomic ensembles. Full article

Agitation-related movements in intensive care units (ICUs), such as unintended tube removal and bed exit attempts, pose significant risks to patient safety. The wearable inertial measurement units (IMUs) offer a potential means of capturing such movements. However, the technical feasibility of discriminating ICU-relevant agitation motion patterns from multi-site IMU data remains insufficiently established. To evaluate the technical feasibility of using a convolutional neural network (CNN) applied to multi-site IMU signals to discriminate predefined ICU-relevant agitation-related motion patterns under controlled experimental conditions. Fifteen healthy volunteers performed six scripted movements designed to emulate ICU-relevant agitation-related behaviors while wearing seven IMU sensors on the limbs and waist. A CNN comprising three convolutional layers with kernel sizes of 3, 5, and 7 was trained using 1-s windows extracted from 8-s trials and evaluated using leave-one-subject-out cross-validation. The performance was summarized using macro-averaged accuracy, sensitivity, specificity, precision, and F1 score. Across 135 independent training runs, the CNN achieved a median macro-averaged accuracy of 77.0%, sensitivity of 77.0%, specificity of 95.4%, and F1 score of 77.4%. These results indicate stable window-level discrimination of the predefined motion classes under standardized conditions. This proof-of-concept study demonstrates that multi-site IMU signals combined with CNN-based modeling can technically discriminate ICU-relevant agitation-related motion patterns in a controlled laboratory setting. Although these findings do not establish clinical validity in ICU patients, they provide a methodological foundation for future studies aimed at patient-level validation and real-world critical care deployment. Full article

Background/Objectives: Whole-body cryotherapy (WBC), a brief exposure to extreme cold (−90 °C), has been proposed to modulate immune, metabolic, and stress-related pathways. This exploratory one-armed pilot study investigated the effects of an 18-session WBC protocol on immune markers, body composition, and perceived stress in healthy adults. Methods: Nineteen participants (mean age 52.9 ± 9.8 years) completed 18 WBC sessions over 9 weeks (3–6 min each), followed by a 9-week follow-up. Assessments were performed at baseline (M1), post-intervention (M2), and follow-up (M3). Primary outcomes included immune parameters (lymphocytes, granulocytes, cytokines, soluble ACE2), body composition (waist circumference, water compartments, lean mass), and perceived stress (Trier Inventory for Chronic Stress, TICS). Results: Waist circumference decreased from 83.8 ± 5.7 cm (M1) to 80.2 ± 4.2 cm (M2) (p = 0.001; M1 vs. M2; p = 0.004). Total body water (p = 0.008), lean body mass (p = 0.008), intracellular water (p = 0.005), and extracellular water (p = 0.021) also showed time-dependent effects. Immune modulation included increased lymphocytes (25.6 ± 7.1% to 29.3 ± 8.3%, p = 0.012) and decreased granulocytes (63.5 ± 6.8% to 58.7 ± 7.9%, p = 0.011) at M2. Anti-inflammatory IL-10 (virus-stimulated) rose markedly (33.5 ± 29.3 to 63.5 ± 50.5 pg/mL, p < 0.001), while IFN-γ (virus-stimulated) increased over time (p = 0.031). Soluble ACE2 decreased at follow-up (0.5 ± 0.7 to 0.3 ± 0.4 ng/mL, p = 0.029). Perceived stress improved in several TICS domains, including Work Overload (p = 0.009) and Pressure to Succeed (p = 0.018). Conclusions: This pilot study demonstrates that repeated WBC at −90 °C induces measurable changes in immune regulation, body composition, and perceived stress. These findings support the feasibility and potential physiological relevance of WBC and providing effect-size estimates for future randomized controlled trials. Full article

Background: Childhood obesity represents the most common nutritional and metabolic disorder in industrialized countries and constitutes a major public health concern. In Italy, 20–25% of school-aged children are overweight and 10–14% are obese, with marked regional variability. Excess adiposity in childhood is frequently associated with hypertension, dyslipidemia, insulin resistance, and non-alcoholic fatty liver disease (NAFLD), predisposing to future cardiovascular disease (CVD). Objective: To investigate anthropometric indicators of cardiometabolic risk in 810 children and adolescents aged 7–17 years who underwent assessment for competitive sports eligibility at the Sports Medicine Unit of Modena, evaluate baseline knowledge of cardiovascular health aligned with ESC, AAP (2023), and EASO guidelines. Methods: 810 children and adolescents aged 7–17 years undergoing competitive sports eligibility assessment at the Sports Medicine Unit of Modena underwent evaluation of BMI percentile, waist circumference (WC), waist-to-height ratio (WHtR), and blood pressure. Cardiovascular knowledge and lifestyle habits were assessed via a previously used questionnaire. Anthropometric parameters, blood pressure (BP), and lifestyle-related knowledge and behaviors were assessed using standardized procedures. Overweight and obesity were defined according to WHO BMI-for-age percentiles. Elevated BP was classified based on the 2017 American Academy of Pediatrics age-, sex-, and height-specific percentiles. Statistical analyses included descriptive statistics, group comparisons, chi-square tests with effect size estimation, correlation analyses, and multivariable logistic regression models. Results: Overall, 22% of participants were overweight and 14% obese. WHtR > 0.5 was observed in 28% of the sample and was more frequent among overweight/obese children (p < 0.001). Elevated BP was detected in 12% of participants with available measurements (n = 769) and was significantly associated with excess adiposity (χ² = 7.21, p < 0.01; Cramér’s V = 0.27). In multivariable logistic regression analyses adjusted for age and sex, WHtR > 0.5 (OR 2.14, 95% CI 1.32–3.47, p = 0.002) and higher sedentary time (OR 1.41 per additional daily hour, 95% CI 1.10–1.82, p = 0.006) were independently associated with elevated BP, whereas BMI percentile lost significance when WHtR was included in the model. Lifestyle knowledge scores were significantly lower among overweight and obese participants compared with normal-weight peers (p < 0.01). Conclusions: WHtR is a sensitive early marker of cardiometabolic risk, often identifying at-risk children missed by BMI alone. Baseline cardiovascular knowledge was suboptimal. The observed gaps in cardiovascular knowledge underscore the importance of integrating anthropometric screening with structured educational interventions to promote healthy lifestyles and long-term cardiovascular prevention. Full article

Objectives: Polycystic ovary syndrome (PCOS) is a heterogeneous disorder with diverse pathogenetic mechanisms and clinical manifestations. Phenotype D PCOS is characterized by oligomenorrhoea and polycystic ovaries without hyperandrogenism. Altered adipokine profiles may contribute to reproductive and metabolic disturbances. Chemerin is an adipokine involved in inflammatory and metabolic processes. It remains unclear whether altered chemerin levels in PCOS reflect metabolic dysfunction alone or are directly associated with hyperandrogenism. The aim of this study was to compare serum chemerin levels in women with normoandrogenic PCOS and a control group. Methods: This cross-sectional preliminary study included 49 women with phenotype D PCOS and 40 healthy, age- and body mass index (BMI)-matched controls. Anthropometric, biochemical, hormonal parameters, and serum chemerin concentrations were assessed. Results: Serum chemerin concentrations did not differ significantly between the groups. In the PCOS group, the 95% confidence interval ranged from 198.61 to 234.37, while in the controls, it ranged from 187.13 to 216.21. In women with PCOS, chemerin showed significant positive correlations with weight, BMI, waist and hip circumference, total adipose tissue, and both gynoid and android fat content. Positive correlations were also observed with highly sensitive C-reactive protein (hs-CRP), insulin, glucose, triglycerides, and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), and a negative correlation was found with high-density lipoprotein (HDL) cholesterol. Chemerin was weakly negatively correlated with sex hormone binding globulin (SHBG) and positively correlated with the free androgen index (FAI). In the control group, chemerin correlated positively with CRP, insulin, triglycerides, total and gynoid adipose tissue, and negatively correlated with HDL cholesterol and SHBG. Conclusions Although chemerin levels did not differ from controls, chemerin was associated with metabolic and inflammatory markers in both groups. These findings should be considered preliminary due to the limited sample size. Chemerin may reflect metabolic and inflammatory status rather than hyperandrogenism in normoandrogenic PCOS. Full article

Background/Objectives: Blood renin and electrolyte levels are associated with blood pressure and hypertension. While sex-specific effects of such factors have been investigated, exact comparisons of the factors between the sexes have been scarce. Methods: Using cohort data from the Korean Genome and Environmental Study (KoGES), the study population that did not receive any interventions for blood pressure was determined. Blood levels of renin and electrolytes, including sodium, potassium, chloride, and calcium, were used to test their relationship with hypertension and blood pressure. Confounding variables, including age, body mass index (BMI), waist-to-hip ratio, family history of hypertension, alcohol consumption, smoking, blood urea nitrogen, creatinine, protein, and albumin levels, were used for adjustment in the multiple regression analysis. Results: In the single-variable analysis, sodium levels were significantly higher in the female population, and showed strong associations in the multiple regression analysis. Blood potassium levels showed no significant sex-specific differences. Among these factors, renin showed the greatest significance in both the total population and sex-specific groups. Moreover, in the development of hypertension, the effect size of renin was significantly different between sexes. Additionally, BMI tended to show stronger associations in females. Conclusions: This study identified sex-specific differential effects of renin and other electrolytes that are important in the pathophysiology of blood pressure. These findings provide clues for the more precise management of hypertension. Full article

Background/Objectives: The cardiometabolic index (CMI) is a simple anthropometric–metabolic indicator that has recently gained attention as a marker of cardiometabolic risk. This study compared the associations and predictive utility of CMI, body mass index (BMI), and waist circumference (WC) for cardiometabolic multimorbidity (CMM). Methods: Data were drawn from 3348 adults (mean age 63.5 years; 45.1% male) in the English Longitudinal Study of Ageing who were free of hypertension, coronary heart disease, diabetes, and stroke at wave 4 (2008–2009). CMI was calculated using the triglyceride-to-HDL-cholesterol ratio and the waist-to-height ratio. Incident CMM at wave 10 (2021–2023) was defined as the presence of ≥2 of these conditions: hypertension, cardiovascular disease, diabetes, or stroke. Odds ratios (ORs) with 95% confidence intervals (CIs) and measures of discrimination were estimated. Results: During 12–15 years of follow-up, 197 CMM cases were recorded. CMI, BMI, and WC were each linearly related to CMM. Higher CMI was associated with increased CMM risk (per 1-SD increase: OR 1.25, 95% CI 1.08–1.44; highest vs. lowest tertile: OR 1.88, 95% CI 1.09–3.25), with similar effect sizes for BMI. WC showed stronger associations (per 1-SD increase: OR 1.46, 95% CI 1.25–1.71; highest vs. lowest tertile: OR 2.16, 95% CI 1.35–3.44). Adding CMI to a base model resulted in a small, non-significant improvement in discrimination (ΔC-index = 0.0032; p = 0.55) but significantly improved model fit (−2 log-likelihood p = 0.004), with comparable effects for BMI and greater improvements for WC. Conclusions: In this older UK cohort, higher CMI levels were associated with increased long-term risk of CMM but did not outperform traditional adiposity measures such as BMI and WC. Full article

Background and Objectives: Obesity is a major public health concern associated with reduced quality of life (QoL) and multiple comorbidities. Bariatric surgery is an effective treatment for severe obesity; however, postoperative QoL outcomes in Latvia remain insufficiently studied. This prospective study evaluated short-term changes in QoL, weight loss, and selected health parameters six months after bariatric surgery. Materials and Methods: Data were collected from 17 adults who underwent bariatric surgery at a single centre in Riga, Latvia. QoL was assessed preoperatively and six months postoperatively using the validated Bariatric Quality of Life (BQL) questionnaire. Anthropometric measurements, self-reported comorbidities, and medication use were obtained at both time points. Statistical analysis was performed using non-parametric methods (p < 0.05). Results: Participants had a median age of 54 years, and 76% were female. Six months after surgery, significant reductions were observed in BMI (39.7 to 31.6 kg/m²; p < 0.0001), total weight (−23.3%), and excess weight (−60.7%). The total BQL score increased from 44.5 to 52.0 points (p = 0.004), indicating improved QoL. Self-reported hypertension and sleep apnoea decreased, and all individuals with preoperative reflux symptoms reported resolution. Waist circumference declined but often remained above metabolic risk thresholds. Hair loss was the most frequently reported postoperative adverse effect. Conclusions: Bariatric surgery was associated with short-term improvements in QoL, weight loss, and several obesity-related symptoms. Hair loss was common but expected. Given the small sample size and single-centre design, findings should be interpreted as exploratory. Larger studies with longer follow-up are needed to better characterize long-term outcomes and support the development of bariatric care in Latvia. Full article

Continuous bladder volume monitoring in a wearable format can improve outcomes for patients with bladder dysfunction, heart failure, and other conditions requiring precise fluid management. Bioimpedance-based methods offer a promising, noninvasive solution; however, the influence of patient-specific anatomy, particularly waist circumference and subcutaneous fat thickness, remains poorly characterized. In this study, we use in silico finite element modeling to quantify how these anatomical factors affect two key bioimpedance metrics: voltage change ($\Delta V$) and voltage change ratio (VCR). Comprehensive simulations were performed across 15 virtual anatomies, generating a reference dataset for guiding future analog front-end and algorithm designs. We further compared generalized volume estimation models against conventional patient-specific void regression approaches. With appropriate input scaling, the generalized models achieved performance within 10% of patient-specific calibrations and, in some cases, surpassed them. Certain configurations reduced mean average error (MAE) by more than 20% relative to individualized models, potentially enabling a streamlined setup without the need for laborious ground-truth acquisition such as voided volume collection. These results demonstrate that incorporating simple anatomical scaling can yield robust, generalizable bladder volume estimation models suitable for wearable systems across diverse patient populations. Full article

Blood pressure prediction in adolescents continues to remain a major challenge for health practitioners. In classical regression, many factors are found to be statistically significant based on p-values due to large sample sizes, but they may not be equally important predictors for an outcome variable. Machine learning methods provide non-linear and non-parametric approaches with superior predictive performance and a lower chance of model misspecification. Therefore, we employed a leave-one-covariate-out (LOCO) method, a novel variable importance measure, in addition to linear mixed-effects models integrated within random forest for prediction of longitudinal blood pressure. We used health markers such as BMI and dietary habits of 2379 Black and White adolescent girls, tracked yearly from ages 9 and 10 until 19 in the National Heart, Lung, and Blood Institute (NHLBI) Growth and Health Study (NGHS, USA). Age, BMI, waist circumference, and dietary cholesterol were consistently the most quantitatively important variables for prediction of systolic blood pressure (SBP). However, age, BMI and waist circumference were consistently the most quantitatively important covariates for prediction of diastolic blood pressure (DBP). The study findings demonstrate the importance of understanding how dietary habits and health markers influence blood pressure. Full article

Background/Objective: Mexico has experienced an increase in the prevalence of overweight and obesity among schoolchildren, predisposing them to type 2 diabetes mellitus. In addition, rapid eating has been increasingly implicated in the dysregulation of appetite control, greater energy intake, and adverse metabolic outcomes in children. Prior evidence indicates that a faster eating pace is associated with excess adiposity and lipid metabolism. This study aimed to compare cardiovascular risk factors (waist circumference, waist-to-height ratio, body mass index (BMI), and lipid profile) among school-aged Mexican children according to self-reported eating speed. Design: Cross-sectional observational study. Setting: Public elementary schools in Mexico. Participants: Ninety school-aged children (52.2% female) aged 6–12 years old. Eating speed was assessed using an adapted and validated self-administered questionnaire. Intervention: No intervention was applied; participants were classified into slow-, normal-, or fast-eating groups according to their usual eating speed as reported in the instrument, which includes questions regarding self-perception and family perception. Main Outcome Measure: The primary outcomes included anthropometric parameters (BMI, waist circumference, and waist-to-height ratio), blood pressure (systolic and diastolic), and biochemical markers of lipid metabolism (triglycerides, total cholesterol, and HDL cholesterol). Analysis: Descriptive statistics were computed, and comparisons across eating speed groups were performed using one-way ANOVA for continuous variables and chi-square tests for categorical data. Statistical significance was set at p < 0.05. Results: Among the 90 children evaluated, 17.7% were classified as fast eaters. Although gender differences in eating speed were not statistically significant (χ²= 4.607, p = 0.100), a higher proportion of boys were classified as fast eaters. Children in the fast-eating group exhibited significantly higher BMI (1.4 kg/m²), waist circumference (4 cm greater), and modest elevations in triglyceride and total cholesterol levels, alongside lower HDL cholesterol, relative to their slow-eating peers (all p < 0.05). Among all variables, only diastolic blood pressure differed significantly across groups (F = 3.92, p = 0.022), with fast eaters showing the highest values. Nevertheless BMI, waist circumference, triglyceride levels, and total cholesterol were not statistically significant in the logistic regression, and HDL cholesterol demonstrated an association close to 95% [0.051 (0.011–0.226)] to a protective factor against cardiometabolic events, estimating an effect size of 1.64 using Cohen’s d, which is considered a large effect, when compared to their slower-eating peers. Conclusions and Implications: Faster eating speed was consistently associated with unfavorable anthropometric and lipid profile indicators, aligning with previous evidence linking rapid eating to early cardiometabolic alterations. These findings emphasize the relevance of including eating behavior assessments in pediatric cardiovascular risk screenings and prevention strategies. Full article

Background/Objectives: Metabolic syndrome (MetS) increases the risk of type 2 diabetes and cardiovascular disease. We aimed to identify the key metabolic predictors of MetS in a Central European cohort and to compare classical statistics with modern machine learning (ML) models. Methods: We analysed 956 adults from the Lower Silesia Healthy Donors cohort. Clinical, anthropometric, biochemical, and lifestyle variables were collected using standardised procedures. Group differences were tested with Mann–Whitney U tests and effect sizes. A multivariable logistic regression (outcome: binary MetS defined as ≥3 harmonised components, MetS_bin) estimated adjusted odds ratios. In parallel, ML models (logistic regression, Random Forest, XGBoost, LightGBM, CatBoost) were trained with stratified 5-fold cross-validation. Performance was evaluated by accuracy, F1-macro, and area under the receiver-operating characteristic curve (ROC AUC). Model interpretability used SHAP values. Results: Overweight/obese participants had higher fasting glucose (median 92.0 vs. 84.6 mg/dL), fasting insulin (9.9 vs. 6.6 µU/mL), and systolic blood pressure (134 vs. 121 mmHg) and lower HDL cholesterol (53 vs. 66 mg/dL) compared to normal-BMI individuals (all p < 0.001, r ≈ 0.39–0.41). Participants with a higher waist circumference also showed markedly increased HOMA-IR (2.16 vs. 1.34; p < 0.001). In multivariable logistic regression, waist circumference, BMI, triglycerides, HDL cholesterol, fasting glucose, and systolic blood pressure were independently associated with MetS, yielding a test ROC-AUC of 0.98 and PR-AUC of 0.88. Machine learning models further improved discrimination: Random Forest, XGBoost, LightGBM, and CatBoost all achieved very high performance (test ROC-AUC ≥ 0.99, PR-AUC ≥ 0.98), with CatBoost showing the best cross-validated PR-AUC (~0.99) and favourable calibration. SHAP analyses consistently highlighted fasting glucose, triglycerides, HDL cholesterol, waist circumference, and systolic blood pressure as the most influential predictors. Conclusions: Combining classical regression with modern gradient-boosting models substantially improves the identification of individuals at risk of MetS. CatBoost, XGBoost, and LightGBM delivered near-perfect discrimination in this Central European cohort while remaining explainable with SHAP. This framework supports clinically meaningful risk stratification—including a “subclinical” probability zone—and may inform targeted prevention strategies rather than purely reactive treatment. Full article

Background/Objectives: Trimethylamine N-oxide (TMAO), a gut microbiota-derived metabolite from L-carnitine and choline (abundant in meat and eggs), is linked to CVD and T2D. This study investigated whether TMAO responses to animal-based foods differ between individuals with and without metabolic syndrome (MetS), in relation to their gut microbiota composition. Subjects/Methods: In a randomized crossover trial, 12 MetS (≥3 criteria according to the Adult Treatment Panel III: elevated waist circumference, fasting glucose, triglycerides, and blood pressure or reduced HDL cholesterol) and 21 non-MetS subjects consumed two test meals (3 hard-boiled eggs or 170 g meat balls) after overnight fasting, with ≥1-week washout. Blood was collected at baseline and 0.5, 1, 2, 4, and 6 h postprandially; urine was collected over 6 h. Fecal samples (collected pre-first day of intervention) underwent 16S rRNA sequencing. Plasma and urinary TMAO, TMA, choline, and carnitine were quantified using UPLC-MS/MS. Results: MetS subjects exhibited a non-significant trend towards higher incremental AUCs for plasma TMA, TMAO, choline, and carnitine after consuming both foods, with a 30–50% higher urinary TMAO excretion (but similar for TMA) versus non-MetS subjects. This exploratory analysis also indicated that MetS subjects had reduced gut microbial diversity, featuring decreased Blautia glucerasea (butyrate producer) and increased Ruminococcus torques (pro-inflammatory), a profile associated with inflammation but not TMA production. Conclusion: No significant increase in plasma methylamines after choline and carnitine challenge was observed in subjects with MetS compared with non-MetS. In MetS subjects (without CVD and T2D), gut microbiota composition was characterized by increased pro-inflammatory bacteria rather than TMAO-generating bacteria. The lack of statistical significance with regard to plasma TMAO response could be due to an insufficient sample size rather than the absence of an effect. Nevertheless, the observed elevation might still be clinically relevant, supported by concurrent differences in microbiota composition. These preliminary findings warrant validation in larger cohorts due to sample size limitations. Full article

Background: Schizophrenia is a complex psychiatric disorder that requires both pharmacological and behavioral treatment and is often accompanied by multimorbidity. Physical activity supports overall health and plays an important role in preventing and managing both somatic and mental disorders. This study aimed to evaluate the impact of an Adapted Physical Activity program using Nordic Walking (AAF-NW) on the quality of life of patients with schizophrenia, depending on the number of steps taken during an eight-week intervention, and to assess its influence on body composition and posture. Methods: A prospective, single-center pilot study was conducted using a pre–post experimental design and direct participatory observation. Eighteen patients from a psychiatric hospital (16 men, 2 women; mean age 43.9 years) completed the intervention. Quality of life (WHOQOL-BREF), musculoskeletal pain (Nordic Musculoskeletal Questionnaire), and subjective exercise intensity (Borg scale, 6–20) were assessed. Measurements were taken before and after the program. All continuous variables (step counts, anthropometric measures, and WHOQOL scores) were tested for normality using the Shapiro–Wilk test and visual inspection of histograms and Q–Q plots. Depending on distribution, parametric or non-parametric tests were applied, with results quantified using appropriate test statistics, effect sizes, and p-values to ensure methodological rigor and transparency. Results: No systematic increase in the number of steps was observed during the training period. A non-significant improvement in quality of life was noted, along with significant reductions in body weight and waist circumference. Conclusions: Regular, structured AAF-NW group activities may potentially support the rehabilitation and treatment process in psychiatric hospitals when implemented on a continuous basis. Although improvements were observed, the findings are exploratory and should be interpreted with caution. Further studies on larger, more homogeneous samples are needed to confirm these preliminary results. Full article

Type 2 diabetes (T2D) is a multifactorial disease characterized by chronic hyperglycemia. The FTO variant rs9939609 has been widely associated with obesity, but emerging evidence suggests a broader role for T2D risk across diverse populations. However, Mayan ancestry individuals remain underrepresented in genetic studies. Thus, we evaluated the association of rs9939609 with T2D, fasting glucose, and HbA1c in a southeastern Mexican region with prevalent Mayan ancestry. Birthplace was used as a proxy for ancestry, although no formal ancestry assessment was conducted. The A allele was associated with increased risk for T2D in both additive (OR = 1.88 [1.08–3.40], p = 0.031) and dominant (OR = 2.09 [1.08–4.15], p = 0.032) models, even after adjusting for age, sex, BMI, waist circumference, and waist/hip ratio. The A allele was also associated with increased fasting glucose and HbA1c levels in the dominant model. Mediation analysis suggested that T2D may mediate the effect of rs9939609-A on glucose traits. rs9939609-A may be a risk factor for T2D and elevated glucose levels in this population. However, the results should be interpreted with caution due to the limited sample size, which may result in under- or overestimation of effect sizes. Full article