Glycemic Control, Quality Of Life, And Social Determinants Of Sleep Quality In Newly Diagnosed Type 2 Diabetes Mellitus.

Objective: To determine the prevalence of poor sleep quality and identify associated factors among patients newly diagnosed with T2DM. Method: A cross-sectional study was conducted at the National Hospital of Endocrinology, Vietnam, from August 2024 to July 2025. A total of 106 patients with newly diagnosed T2DM were recruited. Data on sociodemographics, lifestyle, clinical and biochemical measures, social support (MSPSS), and quality of life (WHOQOL-BREF) were collected. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Logistic regression was applied to identify predictors of sleep disorder (PSQI ≥5), and Tobit regression was used to examine determinants of the total PSQI score. Results: The mean PSQI global score was 6.86 ± 4.63, and 67.9% of participants experienced at least mild sleep disturbance. Logistic regression showed that elevated HbA1c (OR = 7.66, 95% CI: 2.81-20.86, p < 0.001) and female sex (OR = 0.13, 95% CI: 0.02-0.82, p = 0.029) were significant predictors of poor sleep. Tobit regression further identified HbA1c (Coef. = 1.45, p < 0.001), female sex (Coef. = -3.40, p < 0.001), economic stress (Coef. = -3.42, p < 0.001), WHOQOL physical (Coef. = -0.07, p = 0.027), and WHOQOL environment (Coef. = 0.11, p = 0.012) as significant determinants of PSQI score. Lifestyle factors and family support showed weaker or non-significant associations. Conclusions: These findings suggest that sleep should be routinely assessed at diagnosis, with integrated management strategies addressing biomedical, psychosocial, and environmental determinants to improve outcomes.