Characterization of risk factors for obstructive sleep apnea and its association with absenteeism among nurses.

PURPOSE: To characterize risk factors associated with obstructive sleep apnea (OSA) and its relationship with nurses' absenteeism. METHODS: A cross-sectional study was conducted from 2018 to 2020 at a 1,000-bed academic hospital complex and biomedical research facility in Tehran, Iran. Participants were selected through consecutive sampling after obtaining ethical approval and informed consent. Data on demographics, medical conditions, occupational characteristics, and absenteeism were collected through face-to-face interviews. The STOP-Bang questionnaire was utilized to assess the probability of OSA. Statistical tests included the Mann-Whitney U, t-test, Chi-square, and multivariable regression. RESULTS: In this study involving 304 nurses, the majority were female (81.3%), with an average age of 35. About 27 participants (8.9%) had a high probability of OSA, with male sex, older age, higher body mass index, neck circumference, and diastolic BP identified as the main determinants of OSA. Additionally, shift work and night shifts were associated with increased absenteeism, while sex showed no significant association with absenteeism rates among nurses. CONCLUSION: Male sex, neck circumference (obesity), night shifts, and diastolic BP can predict OSA risk. However, unauthorized absence from work is not associated with a high risk for OSA (STOP-BANG ≥3) or the individual risk factors of OSA.

Insomnia and its association with absenteeism: A cross-sectional study among Iranian nursing team.

OBJECTIVE: Given the potential impact of insomnia on nurses' performance, it is assumed that insomnia is associated with their absence from work. The present study aimed to determine the insomnia status and its association with absenteeism among a selective group of Iranian healthcare providers. MATERIAL AND METHODS: This cross-sectional study was conducted on 304 healthcare providers working at Imam-Khomeini hospital complex in Tehran. The study population were assessed by insomnia severity index for characterization of insomnia symptoms. The data of absenteeism was collected from the employees' attendance system of hospital's nursing and staff department. The multivariable linear regression model used for predicting determinants of insomnia and absenteeism in nursing team. RESULTS: Different degrees of insomnia was found in 79.9% of the study population, which 57.2% suffered from mild insomnia, 21.4% from moderate insomnia, and 1.3% from severe insomnia. The prevalence of insomnia was significantly higher in persons who were absent from their workplace frequently, or left because of illness. The mean days for total absenteeism in healthcare workers with moderate to severe insomnia was significantly higher than others with mild and no insomnia. In multivariate analysis, having night shifts and the severity of insomnia could predict absenteeism in studied population. DISCUSSION: A majority of healthcare workers suffer from insomnia that may lead to their work absenteeism and decreased performance. Proper administrative and individuals for management of sleep problems is required to avoid long hours of absenteeism among nursing team.