| Literature DB >> 36119288 |
Roqayya Mohammed Ahmed Alhayyani1, Mohammad Yahya Qassem2, Aisha Mohammed Ahmed Alhayyani3, Abdulaziz Mohammed Al-Garni4, Hazim Saeed Raffaa1, Hassan Zaher M Al Qarni1, Razan S Alhumayed5, Yara Mofarih Ahmed Assiri1, Afnan Muslah Alshahrany1, Banan Aedh Alfayi6, Fatimah Yahya Asiri7, Ahad Essa Mohammad7.
Abstract
Background: Sleep is an essential part of human physiology. Being a basic need for human well-being, adequate sleep is associated with good health and life quality for all individuals. Disorders of sleep may result in significant derangement in human functionality. Sleepiness among physicians affects not only their personal lives but also negatively impacts the lives of their patients. Method: This is an analytic cross-sectional study design conducted among 268 male and female Saudi commission residents working in public healthcare facilities in the Aseer region, Saudi Arabia. The study aimed to assess sleep patterns and determine predictors of poor sleep quality among Saudi commission residents of the Aseer region, Saudi Arabia. Result: The study reported that before COVID 19 pandemic, 85.1% of Saudi commission residents had poor sleep quality; however, during the pandemic, the percentage increased to 92.5% who showed poor sleep quality. Also, we found there was a significant association between different self-reported morbidities among Saudi commission residents and sleep disturbance (p < 0.05).Entities:
Keywords: Covid-19; predictors; quality; sleep
Year: 2022 PMID: 36119288 PMCID: PMC9480742 DOI: 10.4103/jfmpc.jfmpc_1946_21
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Socio-demographic data of participating physicians, KSA, 2020 (n=268)
| Parameter | Frequency | Percentage |
|---|---|---|
| Age | ||
| 26-29 years | 205 | 76.5% |
| 30-33 years | 57 | 21.3% |
| 34-37 years | 6 | 2.2% |
| Mean±S.D. | 28.4±1.9 | |
| Sex | ||
| Male | 171 | 63.8% |
| Female | 97 | 36.2% |
| Marital status | ||
| Single | 136 | 50.7% |
| Married | 128 | 47.8% |
| Divorced | 2 | 0.7% |
| Widowed | 2 | 0.7% |
| Average monthly income | ||
| <5000 SAR | 0 | 0.0% |
| 5000-10000 SAR | 0 | 0.0% |
| 10000-15000 SAR | 0 | 0.0% |
| >15000 SAR | 268 | 100.0% |
| Specialty | ||
| Dermatology | 11 | 4.1% |
| Emergency medicine | 10 | 3.7% |
| Ear, Nose & Throat | 6 | 2.2% |
| Family medicine | 70 | 26.1% |
| General surgery | 40 | 14.9% |
| Internal medicine | 68 | 25.4% |
| Obstetrics & Gynecology | 24 | 9.0% |
| Ophthalmology | 4 | 1.5% |
| Orthopedics | 5 | 1.9% |
| Pediatrics | 25 | 9.3% |
| Psychiatry | 5 | 1.9% |
Physicians’ Pittsburg Sleep Quality Index Score (prior to pandemic), KSA, 2020
| Parameter | Mean±SD Before | Mean±SD During | Pearson Correlation (r) |
|
|---|---|---|---|---|
| Component 1: Subjective sleep quality | 1±10.82 | 1.29±0.86 | 0.824 | 0.000* |
| Component 2: Sleep latency | 3.0±2.0 | 2.35±0.68 | 0.787 | 0.000* |
| Component 3: Sleep duration | 2.0±1.0 | 1.82±0.88 | 0.804 | 0.000* |
| Component 4: Sleep efficiency | 1.09±1.34 | 1.29±1.35 | 0.859 | 0.000* |
| Component 5: Sleep disturbance | 1.34±0.59 | 2.05±0.51 | 0.670 | 0.000* |
| Component 6: Use of sleep medication | 0.46±0.82 | 0.71±0.97 | 0.693 | 0.000* |
| Component 7: Daytime dysfunction | 1.32±0.78 | 1.42±0.78 | 0.873 | 0.000* |
| Global PSQI Score | 9.90±4.44 | 10.94±3.36 | 0.892 | 0.000* |
| Global PSQI score >5 (%) | 85.1% | 92.5% | - | 0.000** |
*Pearson correlation significance. **Chi-square test was used
Figure 1Mean global PSQI among physician of different specialties before and during COVID-19 pandemic
Self-reported morbidities among physicians (n=268)
| Parameter | Yes (%) | PSQI Global before COVID-19 | PSQI Global during COVID-19 |
|
|---|---|---|---|---|
| Diabetes | 2.2% | 14.67±1.86 | 14.00±0.89 | 0.002 |
| Hypertension | 3.0% | 13.75±4.23 | 13.25±2.66 | 0.000 |
| Heart diseases | 0.0% | - | - | - |
| Respiratory disorders | 3.7% | 10.60±3.69 | 10.00±2.98 | 0.000 |
| Depression | 11.9% | 11.63±3.46 | 12.19±3.49 | 0.000 |
| General Anxiety Disorder | 18.7% | 10.72±4.10 | 11.44±3.33 | 0.000 |
| Obesity | 24.3% | 10.65±3.91 | 11.35±3.37 | 0.000 |