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Related Experiment Video

Updated: Jun 27, 2026

Association Between Sleep Quality and Cognitive Symptoms in Patients with Major Depressive Disorder

Association Between Sleep Quality and Cognitive Symptoms in Patients with Major Depressive Disorder

Published on: April 26, 2024

Sleep quality in type 2 diabetics.

Maria Carolina Belo da Cunha¹, Maria Lúcia Zanetti, Vanderlei José Hass

¹Ribeirao Preto College of Nursing, University of Sao Paulo, Brazil. carolindabelo@yahoo.com.br

Revista Latino-Americana De Enfermagem

|December 9, 2008

Summary

Poor sleep quality is prevalent in type 2 diabetes patients, worsening metabolic control. Factors like longer diabetes duration and hypertension significantly impact sleep, highlighting a need for better evaluation tools.

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Area of Science:

Endocrinology
Sleep Medicine
Metabolic Disorders

Background:

Sleep disorders are linked to metabolic control issues in type 2 diabetes.
Poor sleep can exacerbate insulin resistance syndrome.
There's a lack of specific tools for assessing sleep in type 2 diabetic patients.

Purpose of the Study:

To investigate the prevalence and factors associated with poor sleep quality in type 2 diabetes patients.
To identify specific patient characteristics linked to diminished sleep quality.

Main Methods:

Observational, cross-sectional study design.
Utilized the Pittsburgh Sleep Quality Index (PSQI) for sleep quality assessment.
Analyzed correlations between sleep quality and clinical factors like diagnosis duration, hypertension, hemoglobin A1c, medication use, and body mass index (BMI).

Main Results:

Over half (52%) of the participants exhibited poor sleep quality.
Longer diabetes duration (>10 years) and hypertension were associated with the poorest sleep quality.
Patients with hemoglobin A1c > 7%, using sleep medication, and normal BMI reported even poorer sleep.

Conclusions:

Poor sleep quality is a significant issue in type 2 diabetes, potentially worsening metabolic control.
Clinical factors such as disease duration, comorbidities (hypertension), glycemic control (HbA1c), and BMI influence sleep quality.
The absence of specific sleep evaluation tools hinders accurate assessment and management of sleep disturbances in this population.