Volume 11, Issue 4 (Winter 2026)
J Health Res Commun 2026, 11(4): 22-32 |
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Aghamohammadi V, Nasiri K, Rahamni R, Mohammadi E, Bazyar H, Ghavidel N, et al . The Relationship Between Sleep Quality, Blood Glucose Level, and Demographic Factors in Patients With Type 2 Diabetes in Khalkhal City. J Health Res Commun 2026; 11 (4) :22-32
URL: http://jhc.mazums.ac.ir/article-1-1220-en.html
URL: http://jhc.mazums.ac.ir/article-1-1220-en.html
Vahideh Aghamohammadi 
, Khadijeh Nasiri , Roxana Rahamni , Elahe Mohammadi * , Hadi Bazyar , Neda Ghavidel , Mohadeseh Toloui , Hanieh Saghi
, Khadijeh Nasiri , Roxana Rahamni , Elahe Mohammadi * , Hadi Bazyar , Neda Ghavidel , Mohadeseh Toloui , Hanieh Saghi
Department of Nutritional Sciences, School of Health, Mazandaran University of Medical Sciences, Sari, Iran.
Abstract: (245 Views)
Introduction and Purpose: Introduction and purpose: Improving sleep quality in diabetic patients can lead to enhanced quality of life and overall health. The present study aimed to investigate sleep quality in patients with type 2 diabetes in Khalkhal city and its relationship with glycemic control and demographic factors.
Methods: This is a descriptive-analytical study conducted on 190 individuals with type 2 diabetes attending health centers in Khalkhal city, selected using a cluster random sampling method. Data were collected using a demographic checklist and the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using linear and logistic regression analyses in three models by SPSS software, version 26.
Results: of the results showed that 84.2% of the patients had sleep disorders. Based on linear regression analysis, a significant positive association was observed between the PSQI score and fasting blood glucose levels, as well as between the PSQI score and duration of diabetes, in both crude and adjusted models (P<0.05). Multivariable logistic regression analysis showed that poor sleep quality was significantly and directly associated with fasting blood glucose levels across all three models (OR= 1.13, 95% CI= 1.06–1.21 for the crude model; OR= 1.13, 95% CI= 1.06–1.21 for model 2; and OR= 1.12, 95% CI= 1.05–1.20 for model 3; P<0.001 for all models).
Conclusion: Decreased sleep quality is common in patients with type 2 diabetes and is significantly associated with fasting blood glucose levels and duration of illness. It is suggested to investigate the relationship between other variables of blood glucose status, including glycosylated hemoglobin and insulin resistance, and both the quality and quantity of sleep in patients with diabetes in future studies.
Methods: This is a descriptive-analytical study conducted on 190 individuals with type 2 diabetes attending health centers in Khalkhal city, selected using a cluster random sampling method. Data were collected using a demographic checklist and the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using linear and logistic regression analyses in three models by SPSS software, version 26.
Results: of the results showed that 84.2% of the patients had sleep disorders. Based on linear regression analysis, a significant positive association was observed between the PSQI score and fasting blood glucose levels, as well as between the PSQI score and duration of diabetes, in both crude and adjusted models (P<0.05). Multivariable logistic regression analysis showed that poor sleep quality was significantly and directly associated with fasting blood glucose levels across all three models (OR= 1.13, 95% CI= 1.06–1.21 for the crude model; OR= 1.13, 95% CI= 1.06–1.21 for model 2; and OR= 1.12, 95% CI= 1.05–1.20 for model 3; P<0.001 for all models).
Conclusion: Decreased sleep quality is common in patients with type 2 diabetes and is significantly associated with fasting blood glucose levels and duration of illness. It is suggested to investigate the relationship between other variables of blood glucose status, including glycosylated hemoglobin and insulin resistance, and both the quality and quantity of sleep in patients with diabetes in future studies.
Type of Study: Research(Original) |
Subject:
Public Health
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