RESUMO
Objectives: Sleep quality among tertiary healthcare professionals in KSA has not been well studied. Therefore, in this study, we aimed to assess sleep quality among physicians and nurses in a tertiary care center in Jeddah City and to identify the associated factors. Methods: In this quantitative, analytical, cross-sectional study, an online, self-administered questionnaire was distributed to all physicians and nurses working at King Abdulaziz University Hospital (KAUH). A total of 395 healthcare professionals participated in this study. The questionnaire included the participants' demographic characteristics and Pittsburgh Sleep Quality Index (PSQI) values. Results: The mean age and body mass index of the participating healthcare professionals were 37.74 ± 10.35 years and 26.32 ± 4.97 kg/m2, respectively. Most participants were women (70.4%) and expatriates (55.4%). The prevalence of poor sleep quality was high: 70.4% of the participants had a PSQI score >5. Several factors, such as female sex (adjusted odds ratio (AOR) = 2.03; 95% confidence interval (CI) = 1.11-3.74), shift work (AOR = 1.87; 95% CI = 1.01-3.45), physical inactivity (AOR = 2.43; 95% CI = 1.01-5.85), and current smoking (AOR = 4.64; 95% CI = 1.68-12.80), were associated with poor sleep quality among healthcare professionals. Conclusions: Our findings are consistent with those from previous studies indicating high prevalence of poor sleep quality among healthcare professionals. Furthermore, female sex, shift work, smoking, and physical inactivity were identified as risk factors for poor sleep quality.
RESUMO
Purpose: Few studies have investigated the validity of the Athens insomnia scale (AIS) using a robust approach of both classical theory and the rating scale model. Therefore, in this study, we investigated psychometric validation of the AIS using both of these approaches in nurses. Methods: Nurses (n= 563, age= 33.2±7.1 years) working in health facilities in Saudi Arabia participated in a cross-sectional study. Participants completed the AIS, socio-demographics tool, and sleep health-related questions. Results: Confirmatory factor analysis (CFA) favored a 2-factor structure with both comparative fit index (CFI), and incremental fit index (IFI) having values above 0.95. The 2-factor model had the lowest values of Akaike information criterion (AIC), root mean square error of approximation (RMSEA), χ 2, and χ 2/df. This 2-factor structure showed configural invariance (CFI more than 0.95, RMSEA less than 0.08, and Χ2/df less than 3), and metric, scalar, and strict invariance (based on Δ CFI ≤-0.01, and Δ RMSEA ≥ 0.015 criteria). No ceiling/floor effects were seen for the AIS total scores. Infit and outfit mean square values for all the items were within the acceptable range (<1.4, >0.6). The threshold estimates for each item were ordered as expected. Cronbach's α for the AIS tool, factor-1 score, factor-2 score was 0.86, 0.82, and 0.72, respectively. AIS factor scores-1/2 were significantly associated with a habitual feeling of tiredness after usual night sleep (p<0.001), Impairment of daytime socio-occupational functioning (p<0.05), and with a feeling of daytime fatigue, irritability, and restlessness (p<0.05). Conclusion: The findings favor the validity of a 2-factor structure of the AIS with adequate item properties, convergent validity, and reliability in nurses.