Wiad Lek. 2025;78(12):2707-2716. doi: 10.36740/WLek/213629.
ABSTRACT
OBJECTIVE: Aim: The relationship between diabetes mellitus (DM) and lifestyle quality become important in diabetes research in last year. The present study aims to study the influence of metformin response in sleep in diabetes mellitus patients type 2.
PATIENTS AND METHODS: Materials and Methods: A cross sectional study was designed to achieve study goal, glycemic parameters included fasting blood glucose (FBG), glycated protein (HbA1c%), insulin (IN), insulin resistance (HOMA-IR) and insulin sensitivity (IS). PCR sequencing was used to detect SLC47A2 intronic variants and its related with glycemic control and sleep status.
RESULTS: Results: Among the study population, about 26.3% achieved well glycemic control, 30% were moderately controlled, and 43.8% were poorly controlled. Sleep quality assessment showed that the majority of participants in all glycemic groups experienced intermediate sleep. The prevalence of insomnia increased with worsening glycemic control, from 4.8% in the well-controlled group to 17.1% in poorly controlled participants, in non- statistically significant (p = 0.722). Biochemical parameters confirmed significant differences in fasting blood glucose and HbA1c across the three glycemic categories (p < 0.001), insulin, HOMA-IR, and insulin sensitivity did not differ significantly. Multiple regression analyses indicated that none of the biochemical predictors significantly explained sleep in any group (p > 0.05), in poorly controlled patients, non-significant opposing trends were observed for insulin and insulin resistance, sociodemographic factors included supplement use, education level, and employment were associated with better sleep among poorly controlled patients. Genetic analysis of two intronic variants in the SLC47A2 gene (g.19716681G>C and rs1597652185) revealed no significant associations with glycemic control or sleep, though both showed similar distribution patterns across groups. Statistical analysis didn’t find significant association between either variant and glycemic or sleep status (p > 0.05).
CONCLUSION: Conclusions: Poor glycemic control was common and associated with higher insomnia prevalence. While demographic and clinical factors showed no clear links with glycemic control or sleep, supplement use emerged as a protective factor. FBG and HbA1c strongly differentiated control groups, but other biomarkers and SLC47A2 variants were not predictive. Findings suggest that combining metabolic management with supportive measures like supplementation may improve sleep and outcomes in type 2 diabetes..
PMID:41620870 | DOI:10.36740/WLek/213629
