Analysis of various risk factors associated with poor sleep quality
- VernacularTitle:Чанаргүй нойр, түүнд нөлөөлөх зарим хүчин зүйлсийг судалсан дүн
- Author:
Purevdulam B
1
;
Khishigsuren Z
2
;
Tovuudorj A
3
;
Tsagaankhuu G
3
;
Delgermaa Ts
3
Author Information
1. MNUMS, School of Medicine, Department of Neurology;General Hospital for State Special Servants, Sleep center
2. MNUMS, School of Medicine, Department of Mental health
3. MNUMS, School of Medicine, Department of Neurology
- Publication Type:Journal Article
- Keywords:
Sleep disturbance;
Sleep disruption;
Depression;
Sleep Latency
- From:
Mongolian Journal of Health Sciences
2025;85(1):207-213
- CountryMongolia
- Language:Mongolian
-
Abstract:
Background: Sleep quality is frequently highlighted in the literature as a key factor for overall health. Poor sleep quality
significantly affects both physical and mental health, diminishing quality of life and potentially harming personal finances. While this issue is influenced by various risk factors, no well-studied research has been conducted on it in Mongolia.
Aim:The aim of this study was to assess the frequency of poor sleep quality among visitors to the Sleep center in Mongolia and to identify the factors associated with poor sleep quality.
Materials and Methods:This study, conducted using a cross-sectional design, included 200 participants aged 18 to 65
years who visited the Sleep Center at the General Hospital for State Special Servants between January and May 2024.
Data were collected using a structured questionnaire. Sleep quality was assessed using the Mongolian version of the Pittsburgh Sleep Quality Index, with a global score above 6 indicating poor sleep. Participants were divided into two groups:
“Good sleepers” (n=105) and “Poor sleepers” (n=95). Socio-demographic and clinical variables such as age, sex, levels
of education were also recorded. The level of depression, anxiety, and stress was assessed using the DASS 21 (Depression
Anxiety Stress Scale) criteria. Univariate analysis was performed using the t-test, Mann-Whitney U test for continuous
data, the Х2 or Fishers’s exact test for categorical data, and logistic regression for multivariable analysis. A P-value of less
than or equal to 0.05 was considered significant.
Results:Poor sleep quality, indicated by a PSQI global score above 6, was observed in 52.5% of the total participants.
Univariate analtysis’s test results showed that age, being female, having depression, anxiety, BMI ≥ 25, alcoholism,
comorbidities, and using concomitant medications were significantly associated with poor sleep quality (all p<0.05). In
the multivariate logistic regression analysis, 50 < age (OR 3.133, 95% CI, 1.245-7.884, p<0.05), BMI ≥ 25 (OR 2.084,
1.039-4.179, p<0.05), alcoholism (OR 3.018, 95% CI, 1.495-6.093, p<0.01) and depression (OR 15.957, 95% CI, 1.592-159.922, p<0.05) were identified as significant risk factors for poor sleep quality. Depression and alcoholism were associated with longer sleep latency and decreased daytime activity (p<0.05).
Conclusions:1. In our study, more than half of the participants experienced poor sleep quality.
2. Age over fifty, depression, BMI ≥ 25, and alcoholism emerged as independent significant risk factors for sleep disturbance. Alterations in sleep latency, sleep disruption, and impaired daytime functioning may be associated with
poor sleep quality.
- Full text:2025052716465735465207-213.pdf
