Frontiers in public health

Sleep, quality of life, fatigue, and mental health after COVID-19 in Turkey

Updated

Abstract

Of the 3,200 individuals approached, 2,624 (82%) completed the survey assessing sleep quality and associated factors.

  • Significant differences in socio-demographic characteristics were observed between genders.
  • High severity scores for depressive disorders were linked to age group, gender, education, occupation, smoking habits, and co-morbidity.
  • Strong correlations were found between sleep disorders and various aspects of quality of life, including physical and psychological health.
  • Higher prevalence of mental health symptoms was identified among individuals with sleep disorders, particularly regarding depression, anxiety, and stress.
  • Key predictors of sleep quality included stress, depression, anxiety, and environmental factors, after adjusting for gender and age.

Simplified

Key numbers

30%
Prevalence of Depression
Among women experiencing mental health symptoms.
10% of 902 individuals
Prevalence of Scores ≥ 10
With sleep disorders compared to 5% of 902 individuals without sleep disorders.
2,624 participants
Sample Size
Completed the questionnaire assessing sleep quality and mental health.

Full Text

What this is

  • This research examines sleep quality, quality of life, fatigue, and mental health among the Turkish population post-COVID-19 pandemic.
  • A total of 2,624 individuals completed comprehensive questionnaires assessing various health metrics.
  • The study identifies key predictors of sleep quality, including mental health symptoms and socio-demographic factors.

Essence

  • Sleep quality is significantly linked to mental health symptoms such as depression, anxiety, and stress in the Turkish population post-pandemic. Insufficient sleep duration and poor sleep quality negatively impact both physical and mental health functioning.

Key takeaways

  • Mental health symptoms are prevalent among the Turkish population post-COVID-19, with 30% of women and 20% of men experiencing depression. The study indicates that women report higher rates of mental health issues compared to men.
  • Significant predictors of sleep quality include DASS21 stress, depression, anxiety, and various health domains. These factors were adjusted for age and gender, emphasizing the multifaceted nature of sleep quality.
  • The prevalence of scores ≥ 10 was 10% among individuals with sleep disorders, compared to 5% among those without. This underscores the association between sleep disorders and mental health conditions.

Caveats

  • The cross-sectional design limits causal inference, making it difficult to determine the directionality of relationships between sleep quality and mental health symptoms.
  • Self-report assessments may introduce recall bias and underreporting, potentially affecting the accuracy of the findings.
  • Selection bias may be present as participants were included based on availability, which could impact the generalizability of the results.

Definitions

  • DASS-21: A 21-item scale assessing depression, anxiety, and stress, categorizing severity into normal, mild, moderate, severe, and very severe.
  • PHQ-15: A 15-item questionnaire used to screen for depressive disorders, with scores categorized as none, mild, moderate, and severe.
  • WHOQOL-BREF: A 26-item instrument measuring quality of life across four domains: physical health, psychological status, social relationships, and environmental conditions.

Simplified

Funding

Competing interests

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) AB declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
PubMed

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