Sleep problems, depression and anxiety in patients with post COVID-19 infection: an Egyptian study

Abstract Background COVID-19 has become a worldwide health emergency, impacting millions of people across the globe. Beyond the initial illness, it has led to the development of post-COVID syndrome, marked by neuropsychiatric symptoms like anxiety, depression, and sleep disorders, significantly diminishing the quality of life for many. The study’s objectives were to assess the frequency of these symptoms in individuals evaluated at least four weeks after recovery from acute COVID-19 infection and investigate how they related to sociodemographic characteristics and the intensity of the original infection. Thirty-eight healthcare workers (physicians and nurses) who had recovered from COVID-19 and 38 healthcare worker controls with no history of infection were included in this descriptive, cross-sectional case-control study. A thorough assessment of sleep problems was conducted using the Pittsburgh Sleep Quality Index (PSQI). The Hospital Anxiety and Depression Scale (HADS) and the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) was administered to assess current psychiatric diagnoses, including anxiety disorders, depressive disorders, post-traumatic stress disorder (PTSD), and obsessive–compulsive disorder (OCD). The following SCID-I modules were administered: Mood Disorders module, Anxiety Disorders module (including panic disorder, generalized anxiety disorder, and phobias), PTSD module, and OCD module The Brief Severity Scoring Criteria were used to assess the severity of the COVID-19 infection. Results In comparison to controls (7.9% and 5.3%, respectively), post-COVID-19 patients had significantly greater median scores on the HADS and higher rates of anxiety (76.3%) and depression (68.4%). SCID-I assessments revealed increased prevalence of depression (60.52%), generalized anxiety disorder (52.6%), PTSD (26.3%), and OCD (18.4%) in post-COVID-19 patients. These patients also had poorer sleep quality as shown PSQI results. Higher levels of anxiety and sadness, feminine gender, and advanced age were important characteristics associated with sleep issues. Conclusion Compared to the control group, those in recovery from COVID-19 have significantly higher levels of anxiety, sadness, and sleep problems. These results illustrate the severe psychosocial and sleep-related difficulties that COVID-19 patients face, underscoring the pressing need for targeted and efficient therapies.

Institutions

Publication Details

Journal
The Egyptian Journal of Neurology Psychiatry and Neurosurgery
Published
2026-05-19
DOI
https://doi.org/10.1186/s41983-026-01118-z
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sleep problems, depression and anxiety in patients with post COVID-19 infection: an Egyptian study

The Egyptian Journal of Neurology Psychiatry and Neurosurgery
Long-Term Effects of COVID-19
article

Sleep problems, depression and anxiety in patients with post COVID-19 infection: an Egyptian study

article en

Abstract

Abstract Background COVID-19 has become a worldwide health emergency, impacting millions of people across the globe. Beyond the initial illness, it has led to the development of post-COVID syndrome, marked by neuropsychiatric symptoms like anxiety, depression, and sleep disorders, significantly diminishing the quality of life for many. The study’s objectives were to assess the frequency of these symptoms in individuals evaluated at least four weeks after recovery from acute COVID-19 infection and investigate how they related to sociodemographic characteristics and the intensity of the original infection. Thirty-eight healthcare workers (physicians and nurses) who had recovered from COVID-19 and 38 healthcare worker controls with no history of infection were included in this descriptive, cross-sectional case-control study. A thorough assessment of sleep problems was conducted using the Pittsburgh Sleep Quality Index (PSQI). The Hospital Anxiety and Depression Scale (HADS) and the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) was administered to assess current psychiatric diagnoses, including anxiety disorders, depressive disorders, post-traumatic stress disorder (PTSD), and obsessive–compulsive disorder (OCD). The following SCID-I modules were administered: Mood Disorders module, Anxiety Disorders module (including panic disorder, generalized anxiety disorder, and phobias), PTSD module, and OCD module The Brief Severity Scoring Criteria were used to assess the severity of the COVID-19 infection. Results In comparison to controls (7.9% and 5.3%, respectively), post-COVID-19 patients had significantly greater median scores on the HADS and higher rates of anxiety (76.3%) and depression (68.4%). SCID-I assessments revealed increased prevalence of depression (60.52%), generalized anxiety disorder (52.6%), PTSD (26.3%), and OCD (18.4%) in post-COVID-19 patients. These patients also had poorer sleep quality as shown PSQI results. Higher levels of anxiety and sadness, feminine gender, and advanced age were important characteristics associated with sleep issues. Conclusion Compared to the control group, those in recovery from COVID-19 have significantly higher levels of anxiety, sadness, and sleep problems. These results illustrate the severe psychosocial and sleep-related difficulties that COVID-19 patients face, underscoring the pressing need for targeted and efficient therapies.

The Egyptian Journal of Neurology Psychiatry and NeurosurgeryVol. 62(1)
Ain Shams University Hospital (EG)
Good health and well-being
Openalex Percentile: Top 5%
Long-Term Effects of COVID-19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.