Type 1 diabetes has become prevalent among the adult population, who have increasingly gained access to sensing technology. This study delved into the impact of diet, nutritional status, and the use of a continuous glucose monitoring system (CGM) on glycemic regulation among adults diagnosed with T1D. Employing a prospective design, data were gathered from 151 participants aged 18–60 across multiple cycles. Participants utilized the FreeStyle Libre (FSL) Flash Glucose Monitoring (FGM) System and provided dietary details via questionnaires and diaries. The findings unveiled correlations between dietary patterns and glycemic control, with higher protein intake associated with improved glycated hemoglobin A1C values (p = 0.019), yet elevated fat and protein consumption was linked to heightened rates of hyperglycemia. Conversely, no significant relationship was observed between dietary variables and hypoglycemia occurrence. Interestingly, subjects with more readings of glucose levels consumed fewer carbohydrates (p = 0.004) and more proteins (p = 0.000). Furthermore, physical activity and marital status correlated with glycemic stability, while higher education was associated with enhanced glycemic control (p = 0.021). This study confirmed the importance of structured education on glycemic regulation and the importance of dietary patterns in glucose management. Also, the educational role of the FGM system in changing dietary habits was confirmed, which is one of the key factors for improving glycemic regulation in continuous glucose monitoring system users.

Background: Interindividual differences in statin efficacy and tolerability are partly determined by genetic and metabolic factors. The SLCO1B1 c.521T>C polymorphism affects hepatic statin transport, while vitamin D deficiency may influence lipid metabolism and muscular tolerance. This study aimed to assess the impact of SLCO1B1 genotype and vitamin D status on lipid-lowering response and adverse events in postmenopausal women treated with atorvastatin or rosuvastatin. Methods: A total of 145 Croatian postmenopausal women were prospectively followed for 16 weeks. Participants received atorvastatin or rosuvastatin with dose titration to achieve low-density lipoprotein cholesterol (LDL-C) targets. Serum lipids, liver enzymes, and creatine kinase were monitored monthly. Serum levels of 25-hydroxyvitamin D were quantified by LC–MS/MS, while SLCO1B1 c.521T>C genotyping was performed using real-time PCR. Results: Rosuvastatin achieved a higher LDL-C target attainment rate compared with atorvastatin (81.1% vs. 67.6%, p = 0.02). The SLCO1B1 genotype was not associated with lipid response but was significantly associated with adverse effects. In multivariable regression analysis, patients with the T/C genotype had a significantly higher risk of developing adverse effects compared with those with the T/T genotype (OR 7.4, 95% Cl 2.1–26.7, p = 0.002). Vitamin D status showed no significant association with lipid outcomes or adverse events, although participants with severe deficiency exhibited a weaker LDL-C response. Conclusions: Rosuvastatin demonstrated superior lipid-lowering efficacy and tolerability compared with atorvastatin in postmenopausal women. The SLCO1B1 c.521T>C variant primarily affected safety rather than efficacy, while severe vitamin D deficiency might contribute to diminished statin response. Integrating pharmacogenetic and endocrine profiling could enhance individualized statin therapy and cardiovascular prevention in women.