Sleep quality, quality of life, fatigue, and mental health in Covid-19 post-pandemic Türkiye
A cross-sectional study
Bibliographic Data
| ID | 22081371 |
|---|---|
| Authors | Abdulbari Bener (0000-0002-7902-5803, University of Manchester, corresponding author), Ebru Morgül (0000-0002-8298-5784, Ibn Haldun University), Mahmut Tokaç (Istanbul Medipol University), Antonio Ventriglio (0000-0002-3934-7007, University of Foggia), Timothy R Jordan (0000-0001-8189-4584, Ibn Haldun University) |
| Year | 2024 |
| Volume | 12 |
| Pages | 1250085-1250085 |
| Publication date | 2024-02-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1250085 |
| PMID | 38463157 |
| OpenAlex | W4392108449 |
| Language | EN |
| Citations received | 4 |
| References cited | 33 |
Aim This study explores the predictors and associated risk factors of sleep quality, quality of life, fatigue, and mental health among the Turkish population during the COVID-19 post-pandemic period. Materials and methods A cross-sectional survey using multi-stage, stratified random sampling was employed. In total, 3,200 persons were approached. Of these, 2,624 (82%) completed the questionnaire package consisting of socio-demographic information, Pittsburgh Sleep Quality Index (PSQI), the WHO Quality of Life Brief Version (WHOQOL-BREF), Fatigue Assessment Scale (FAS), Patients Health Questionnaire (PHQ-15), GAD-7 anxiety scale, and the 21-item Depression, Anxiety, Stress Scale (DASS-21). Results Significant differences between genders were found regarding socio-demographic characteristics ( p < 0.01). Using PHQ-15 for depressive disorders, significant differences were found between normal and high severity scores (≥ 10), regarding age group ( p < 0.001), gender ( p = 0.049), educational level ( p < 0.001), occupational status ( p = 0.019), cigarette smoking ( p = 0.002), waterpipe-narghile smoking ( p = 0.039), and co-morbidity ( p = 0.003). The WHOQOL-BREF indicated strong correlations between public health, physical health, psychological status, social relationships, environmental conditions, and sleep disorders ( p < 0.01). Furthermore, comparisons of the prevalence of mental health symptoms and sleeping with PHQ-15 scores ≥ 10 ( p = 0.039), fatigue ( p = 0.012), depression ( p = 0.009), anxiety ( p = 0.032), stress ( p = 0.045), and GAD-7 ( p < 0.001), were significantly higher among the mental health condition according to sleeping disorder status. Multiple regression analysis revealed that DASS21 stress ( p < 0.001), DASS21 depression ( p < 0.001), DASS21 anxiety ( p = 0.002), physical health (WHOQOL-BREF) ( p = 0.007), patient health depression-PHQ-15 ( p = 0.011), psychological health (WHOQOL-BREF) ( p = 0.012), fatigue ( p = 0.017), and environmental factors (WHOQOL-BREF) ( p = 0.041) were the main predictor risk factors associated with sleep when adjusted for gender and age. Conclusion The current study has shown that sleep quality was associated with the mental health symptoms of depression, anxiety, stress, and fatigue. In addition, insufficient sleep duration and unsatisfactory sleep quality seemed to affect physical and mental health functioning
Anxiety · Cross-sectional study · Depressive symptoms · Insomnia · Mental health · Patient Health Questionnaire · Perceived Stress Scale · Pittsburgh Sleep Quality Index · Psychiatry · Sleep quality · Clinical Psychology · COVID-19 and Mental Health · Long-Term Effects of COVID-19 · Medicine · Sleep and related disorders · Gerontology
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| Citations per year | 2 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |