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This is a Cohort Study study (also classified as: Quantitative Study).

September 12, 2025Open Access

Association between Sleep Duration and Glycemic Control among Patients with Type 2 Diabetes in Tertiary Care Hospital

Puntos clave

Higher PSQI scores correlated with significantly elevated HbA1c levels, indicating that sleep quality affects glycemic control.
Subjective sleep quality, sleep latency, and disruptions are key components evaluated using the PSQI questionnaire, linking them to diabetes management.
Sociodemographic factors like gender and employment status were significantly associated with sleep issues, suggesting broader impacts on management strategies.
Incorporating sleep evaluations into diabetes care may provide a low-cost strategy for improving patient outcomes with type 2 diabetes.

Resumen

Introduction: Sleep problems are more common in people with diabetes than in people without the condition. Sleep issues are common medical conditions that have a detrimental effect on type 2 diabetes mellitus (T2DM). Common issues like nocturia caused by poor glucose control or peripheral neuropathy can seriously impair sleep quality. The purpose of the current study is to examine the relationship between diabetes mellitus and sleep habits. The results could help medical practitioners provide comprehensive lifestyle advice to diabetics. Materials and Methods: The sample size for the study was 88 obtained by using open-epi software. A validated and pre-tested semi-structured questionnaire was used to gather study data. Subjective sleep quality, sleep latency, length, habitual sleep efficiency, sleep disruptions, usage of sleeping medication, and daytime dysfunction are the seven components of the 19-question PSQI questionnaire. Every component has a score between 0 and 3, which can be understood as follows: A score of zero indicates no sleep issues, a score of one indicates light sleep issues, a score of two indicates moderate sleep issues, and a score of three indicates severe sleep issues. The global PSQI score is obtained by adding up all the component scores, ranging from 0 to 21. A PSQI score of 5 or higher indicates poor sleep quality. Results: Higher PSQI scores, which indicate poorer sleep quality, were substantially linked to higher HbA1c levels, underscoring the importance of both sleep duration and quality in glycemic control. Significant correlations were also found between sociodemographic characteristics such gender, location, employment, education, and kind of treatment. Regression and correlation studies supported the idea that sleep is important for managing diabetes. These results highlight how important it is to incorporate sleep evaluation into regular diabetes care. Improving sleep quality could be an easy and affordable addition to current treatment methods.

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