Bener Abdulbari, Morgul Ebru, Tokaç Mahmut, Ventriglio Antonio, Jordan Timothy R
Department of Biostatistics and Medical Informatics, School of Medicine, Istanbul Medipol University, Istanbul, Türkiye.
Department of Evidence for Population Health Unit, School of Epidemiology and Health Sciences, The University of Manchester, Manchester, United Kingdom.
Front Public Health. 2024 Feb 23;12:1250085. doi: 10.3389/fpubh.2024.1250085. eCollection 2024.
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.
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).
Significant differences between genders were found regarding socio-demographic characteristics ( < 0.01). Using PHQ-15 for depressive disorders, significant differences were found between normal and high severity scores (≥ 10), regarding age group ( < 0.001), gender ( = 0.049), educational level ( < 0.001), occupational status ( = 0.019), cigarette smoking ( = 0.002), waterpipe-narghile smoking ( = 0.039), and co-morbidity ( = 0.003). The WHOQOL-BREF indicated strong correlations between public health, physical health, psychological status, social relationships, environmental conditions, and sleep disorders ( < 0.01). Furthermore, comparisons of the prevalence of mental health symptoms and sleeping with PHQ-15 scores ≥ 10 ( = 0.039), fatigue ( = 0.012), depression ( = 0.009), anxiety ( = 0.032), stress ( = 0.045), and GAD-7 ( < 0.001), were significantly higher among the mental health condition according to sleeping disorder status. Multiple regression analysis revealed that DASS21 stress ( < 0.001), DASS21 depression ( < 0.001), DASS21 anxiety ( = 0.002), physical health (WHOQOL-BREF) ( = 0.007), patient health depression-PHQ-15 ( = 0.011), psychological health (WHOQOL-BREF) ( = 0.012), fatigue ( = 0.017), and environmental factors (WHOQOL-BREF) ( = 0.041) were the main predictor risk factors associated with sleep when adjusted for gender and age.
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.
本研究探讨了新冠疫情后土耳其人群睡眠质量、生活质量、疲劳及心理健康的预测因素和相关风险因素。
采用多阶段分层随机抽样进行横断面调查。共接触了3200人。其中,2624人(82%)完成了由社会人口学信息、匹兹堡睡眠质量指数(PSQI)、世界卫生组织生活质量简表(WHOQOL-BREF)、疲劳评估量表(FAS)、患者健康问卷(PHQ-15)、广泛性焦虑障碍7项量表(GAD-7)以及21项抑郁、焦虑、压力量表(DASS-21)组成的问卷包。
在社会人口学特征方面发现了显著的性别差异(<0.01)。使用PHQ-15评估抑郁障碍时,在正常与高严重程度评分(≥10)之间,在年龄组(<0.001)、性别(=0.049)、教育水平(<0.001)、职业状况(=0.019)、吸烟(=0.002)、抽水烟(=0.039)和合并症(=0.003)方面发现了显著差异。WHOQOL-BREF表明公共卫生、身体健康、心理状态、社会关系、环境条件与睡眠障碍之间存在强相关性(<0.01)。此外,根据睡眠障碍状况,心理健康状况下心理健康症状患病率及睡眠障碍与PHQ-15评分≥10(=0.039)、疲劳(=0.012)、抑郁(=0.009)、焦虑(=0.032)、压力(=0.045)和GAD-7(<0.001)的比较显著更高。多元回归分析显示,在对性别和年龄进行调整后,DASS21压力(<0.001)、DASS21抑郁(<0.001)、DASS21焦虑(=0.002)、身体健康(WHOQOL-BREF)(=0.007)、患者健康抑郁-PHQ-15(=0.011)、心理健康(WHOQOL-BREF)(=0.012)、疲劳(=0.017)和环境因素(WHOQOL-BREF)(=0.041)是与睡眠相关的主要预测风险因素。
当前研究表明,睡眠质量与抑郁、焦虑、压力和疲劳等心理健康症状相关。此外,睡眠时间不足和睡眠质量不佳似乎会影响身心健康功能。