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Background and AimsSleep issues pose a significant burden to public health and well‐being in Saudi Arabia. However, research evidence on sleep health among psychiatry physicians in this territory is limited. Therefore, to bridge the research gap, this study was designed to assess the prevalence and predictors of poor sleep quality among psychiatry physicians in the country.MethodsThis cross‐sectional study included 554 psychiatry physicians in Saudi Arabia from March to August 2023. Data were collected via online through a structured questionnaire (Google survey form). Sleep quality, the outcome variable of our study, was evaluated with the Pittsburgh Sleep Quality Index (PSQI; 19 items). Independent variables included sociodemographic and behavioral characteristics, sleep habits, major depression (assessed with Patient Health Questionnaire‐9), and anxiety (measured with Generalized Anxiety Disorder‐7) symptoms. Binary logistic regression analysis was performed to identify the correlates of poor sleep quality.ResultsBased on the PSQI, 61.3% of the study participants had poor‐quality sleep (age range: 24–56 years, male: 48.0%). The adjusted model revealed that male participants (AOR = 2.80, 95% CI = 1.70–4.61) and those who had on‐call duties ≥ 2 times per week (for three/four per week: AOR = 3.41, 95% CI = 1.89–6.14) were at higher risk of developing poor sleep quality compared to their respective counterparts. Participants with depressive symptoms (AOR = 3.46, 95% CI = 1.60–7.48) and smoking habits (AOR = 3.47, 95% CI = 1.32–9.08) had higher odds of developing poor sleep quality than their counterparts. Moreover, participants who always used their smartphone/laptop before going to bed were more likely to have poor sleep quality than those who never used such (AOR = 3.15, 95% CI = 1.31–7.60).ConclusionPoor sleep quality is extremely prominent among psychiatry physicians in Saudi Arabia. Male sex, higher on‐call duty, smoking habits, depression, and smartphone/laptop use before bedtime were significantly associated with poor sleep quality. These findings emphasize the need for sleep‐health promotion interventions for Saudi psychiatry physicians.
Background and AimsSleep issues pose a significant burden to public health and well‐being in Saudi Arabia. However, research evidence on sleep health among psychiatry physicians in this territory is limited. Therefore, to bridge the research gap, this study was designed to assess the prevalence and predictors of poor sleep quality among psychiatry physicians in the country.MethodsThis cross‐sectional study included 554 psychiatry physicians in Saudi Arabia from March to August 2023. Data were collected via online through a structured questionnaire (Google survey form). Sleep quality, the outcome variable of our study, was evaluated with the Pittsburgh Sleep Quality Index (PSQI; 19 items). Independent variables included sociodemographic and behavioral characteristics, sleep habits, major depression (assessed with Patient Health Questionnaire‐9), and anxiety (measured with Generalized Anxiety Disorder‐7) symptoms. Binary logistic regression analysis was performed to identify the correlates of poor sleep quality.ResultsBased on the PSQI, 61.3% of the study participants had poor‐quality sleep (age range: 24–56 years, male: 48.0%). The adjusted model revealed that male participants (AOR = 2.80, 95% CI = 1.70–4.61) and those who had on‐call duties ≥ 2 times per week (for three/four per week: AOR = 3.41, 95% CI = 1.89–6.14) were at higher risk of developing poor sleep quality compared to their respective counterparts. Participants with depressive symptoms (AOR = 3.46, 95% CI = 1.60–7.48) and smoking habits (AOR = 3.47, 95% CI = 1.32–9.08) had higher odds of developing poor sleep quality than their counterparts. Moreover, participants who always used their smartphone/laptop before going to bed were more likely to have poor sleep quality than those who never used such (AOR = 3.15, 95% CI = 1.31–7.60).ConclusionPoor sleep quality is extremely prominent among psychiatry physicians in Saudi Arabia. Male sex, higher on‐call duty, smoking habits, depression, and smartphone/laptop use before bedtime were significantly associated with poor sleep quality. These findings emphasize the need for sleep‐health promotion interventions for Saudi psychiatry physicians.
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Background: Paramedical personnel used to night shift predisposing them to poor sleep (PS) and its health consequences. Their work requests an important physical demand associated to physical activity (PA). Objectives: This study aimed at determining prevalence of PS, its association with cardiometabolic risk factors (CFRs), and PA among paramedical staff. Methods: A cross-sectional study was conducted among nurses and medical-health technicians (MTH) in reference hospitals of Douala, Cameroon. PS and PA were assessed with standard questionnaires. CFRs included overweight, obesity, waist circumference (WC), Waist-to-height ratio (WhtR), Waist-to-hip ratios (WhR), hyperglycemia and sedentary behaviors. Results: A total of 331 participants were enrolled, including 53.4% nurses. The overall prevalence of PS was 68.3% (95%CI:63.01-73.01). PS was higher in women (73.5%,95%CI:67.3-78.8, p=0.04) and nurses (58.8%; 95%CI: 52.3-65.1, p=0.01). Among participants with PS, more than half more affected were overweight and obese (39.9% and 34% respectively) with abnormal WC (55.8%), abnormal WhR (78.2%), and sedentary behaviors (65.5%). However, 28.4% had abnormal WhtR, 40.6% had hyperglycemia, and 47.7% had low moderate level of PA. Among nurses with poor sleep, ponderal status appeared more normal among those with moderate PA (64.7%, p=0.009). Nurses with low and high levels were more overweight and obese (48.5%, p=0.009; 15.2%, p=0.009 respectively). Still among paramedical staff with poor sleep, it was noted that nurses with low levels of activity had more abnormal WhR (50.9%, p=0.0008), while WhR was more abnormal among nurses with moderate (51.9%, p=0.0008) and high (29.6%, p=0.0008) levels of PA. MTH were less in risk to suffer from PS quality (OR: 0.48.95%CI: 0.29-0.80; p= 0.004) but in risk of short sleep duration (OR= 2.4; 95%CI: 1.45-3.8; p=0.0006). Paramedical personnel with work seniority more than 5 years were at risk of PS (OR= 1.67, 95%CI :1.04-2.70, p=0.03). Eventhose aged under 30 years were protected against sleep duration (OR=0.50, 95%CI: 0.31-0.94; p=0.03). No association was found between PA level and PS and cardiometabolic risk cluster factors. Conclusion: PS is a reality with alarming prevalence among paramedical staff, with high value in females and nurses. No associations were found with CRFs and PA.
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