Association of Glaucoma with Poor Quality of Sleep in an Ethiopian Glaucoma Population – A Comparative Cross-Sectional Study

Background: Glaucoma is a group of ocular disorders characterized by progressive optic nerve damage resulting in irreversible visual field defects. Poor quality of sleep in glaucoma patients could be explained by the reduction of the light input to the circadian system as a result of damage to photo...

Full description

Saved in:
Bibliographic Details
Published in:Clinical ophthalmology (Auckland, N.Z.) N.Z.), 2022-11, Vol.16, p.3701-3710
Main Authors: Tegegne, Yohannes Bizualem, Hussen, Mohammed Seid, Ayele, Fisseha Admassu, Mersha, Getasew Alemu
Format: Article
Language:English
Subjects:
Circadian rhythm
comparative
Comparative analysis
Cross-sectional studies
Diabetes
Diabetic retinopathy
Disease
Ethics
ethiopia
Glaucoma
gondar
Hospitals
Mental depression
Mental disorders
northwest
Original Research
Patients
Population
quality of sleep
Questionnaires
Response rates
Review boards
Sample size
Sleep
Sociodemographics
Training
Visual impairment
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background: Glaucoma is a group of ocular disorders characterized by progressive optic nerve damage resulting in irreversible visual field defects. Poor quality of sleep in glaucoma patients could be explained by the reduction of the light input to the circadian system as a result of damage to photosensitive retinal ganglion cells in the retina. Information is limited on the association of poor quality of sleep with glaucoma in general and the Ethiopian glaucoma population in particular. Objective: The study aimed to explore the association between poor quality of sleep and glaucoma at a Tertiary Eye Care Center in Ethiopia. Methods: An institutional-based comparative cross-sectional study was conducted among 200 glaucoma and 201 non-glaucoma participants recruited by systematic random sampling. Each group was administered with a Pittsburgh Sleep Quality Index (PSQI) questionnaire. Stata-14 was employed for data analysis; an independent i-test was used to show the statistical difference in the global mean PSQI score for the two groups. A binary logistic regression model was applied to identify factors associated with poor quality of sleep. Statistical significance was declared at a 95% confidence interval and a p-value of
ISSN:1177-5483
1177-5467
1177-5483
DOI:10.2147/OPTH.S387623