What is the clinical evidence from this study?

Study design: Cross-Sectional. Population: Type 2 Diabetes Mellitus (n=80). Intervention: Metformin vs. null. Primary outcome: Prevalence of insomnia based on glycemic control status (p=>0.05).

What does this research mean for the field?

Poor glycemic control in type 2 diabetes patients is associated with worse quality of sleep, with HbA1c identified as a strong predictor of sleep disturbance. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.SUPPORTS_CONSENSUS.

What question did this study set out to answer?

This research aims to investigate the relationship between glycemic control in diabetes mellitus type 2 patients and their sleep status, focusing on SLC47A2 gene variants.

February 2, 2026Open Access

Influence of glycemic control in sleep status in diabetes mellitus patients type 2 and its related with SNPs of SLC47A2: Intron Variant

Key Result

Poor glycemic control was common among the study population, with increasing insomnia prevalence linked to worsening glycemic control.

Key Points

This research aims to investigate the relationship between glycemic control in diabetes mellitus type 2 patients and their sleep status, focusing on SLC47A2 gene variants.
Conducted a cross-sectional study with type 2 diabetes patients.
Assessed glycemic parameters including fasting blood glucose, HbA1c, insulin levels, and insulin resistance.
Analyzed sleep status and its association with glycemic control and SLC47A2 intronic variants.
43.8% of patients exhibited poor glycemic control, while 26.3% had good control.
Significant differences were observed in fasting blood glucose and HbA1c levels among control groups (p=0.000).
HbA1c showed a strong predictive relationship with sleep disturbances (p=0.009).

Study Design

Type

Cross-Sectional (n=80)

Multicenter

Structured PICO

Does glycemic control status or SLC47A2 intronic variants affect sleep quality in patients with Type 2 Diabetes Mellitus on metformin?

Population

80 patients with Type 2 Diabetes Mellitus treated with metformin 1000 mg/day for at least 3 months. Exclusions included obesity, cancer, viral infection, other diabetic medications, and diabetes complications.

Intervention

Assessment of glycemic control status and SLC47A2 intronic variants (g.19716681G>C and rs1597652185). All patients received background therapy of metformin 1000 mg/day.

Comparator

Comparison across glycemic control groups (well, moderate, poor) and sleep status groups (good, intermediate, insomnia).

Outcome

Sleep status (well, intermediate, insomnia) and its association with glycemic parameters and SLC47A2 intronic variants.patient reported

Poor glycemic control in Type 2 Diabetes is associated with a non-significant trend toward increased insomnia, while SLC47A2 intronic variants do not appear to influence sleep or glycemic status.

Main Result

Absolute Event Rate: 4.8% vs 17.1%

p-value: p=>0.05

Limitations

Small sample size
Cross-sectional design limits causal inference
Lack of diversity in participant demographics

Abstract

Aim the relationship between diabetes mellitus (DM) has an important role in diabetes research in last year, diabetes mellitus. Material 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 HOMO-IR and insulin sensitivity IS) were used. . Results the result found that more DM2 patients were enrolled in poor control (43.8%) while the lower percentage in well control (26.3%). The socio-demographic distribution of study cases according to glycemic control groups showed non-significant differences in all study variables (p>0.05), The glycemic parameters and sleep period means differences in the study groups showed significant differences in FBG and HbA1c level among groups (p =0.000), and sleep period was slight decrease in poor control than other group (p =0.741). The study variables showed non-significant difference according to sleep status groups (p>0.05). FBG, IN, homo-IR and IS show non-sig, while HbA1c was significant (p=0.009). the results found that the sleep category coefficients were non-sig (p>0.05), which indicated no strong statistical differences between sleep categories based on the current predictor, on the other hand the threshold values demonstrate that the glycemic control have curtail role in the differentiating sleep categories. The results of SLC47A2 gene are two intronic variants g. Conclusions this study conclude that HbA1c is strong predictor of sleep disturbance, indicated the poor glycemic control is associated with worse quality of sleep, other glycemic parameters didn’t show strong association with sleep

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