BACKGROUND: Having good quality of sleep is essential to good health. Sleep disorders could incur intangible expenses. The aim of this cross-sectional study was to evaluate the Persian version of the Pittsburgh Sleep Quality Index (PSQI-P) questionnaire administered to 3 categories of workers (clinical personnel, clerical staff, and logistics workers) in a private hospital located in Tehran, Iran. METHODS: In 2017, all Pars hospital personnel were invited to participate in the study. The PSQI-P questionnaire was distributed among Pars hospital staff, who consented to take part in the study. RESULTS: The total personnel in this private hospital was 1151 and 552 of them submitted their answers. According to the statistical analysis performed using SPSS version 19, there was no correlation between sleep quality and gender, marital status, age, job, shift work, or university degree (P value: 0.94, 0.42, 0.59, 0.67, 0.12, 0.23, respectively). However, participants with a lower body mass index (BMI) experienced better overnight sleep quality than overweight and obese participants (P value: 0.025 and 0.032, respectively). In addition, the prevalence of poor sleep quality was higher in those living in the suburbs compared to urban residents (P value: 0.02). CONCLUSION: The study obtained a significant difference in sleep quality based on the participants' BMI and place of residence. Despite the fact that the P value of the job was not significant, it appeared that sleep disorders are common among clinical personnel. Quality of life may be improved by modification of the factors responsible for poor sleep quality.
BACKGROUND: Having good quality of sleep is essential to good health. Sleep disorders could incur intangible expenses. The aim of this cross-sectional study was to evaluate the Persian version of the Pittsburgh Sleep Quality Index (PSQI-P) questionnaire administered to 3 categories of workers (clinical personnel, clerical staff, and logistics workers) in a private hospital located in Tehran, Iran. METHODS: In 2017, all Pars hospital personnel were invited to participate in the study. The PSQI-P questionnaire was distributed among Pars hospital staff, who consented to take part in the study. RESULTS: The total personnel in this private hospital was 1151 and 552 of them submitted their answers. According to the statistical analysis performed using SPSS version 19, there was no correlation between sleep quality and gender, marital status, age, job, shift work, or university degree (P value: 0.94, 0.42, 0.59, 0.67, 0.12, 0.23, respectively). However, participants with a lower body mass index (BMI) experienced better overnight sleep quality than overweight and obeseparticipants (P value: 0.025 and 0.032, respectively). In addition, the prevalence of poor sleep quality was higher in those living in the suburbs compared to urban residents (P value: 0.02). CONCLUSION: The study obtained a significant difference in sleep quality based on the participants' BMI and place of residence. Despite the fact that the P value of the job was not significant, it appeared that sleep disorders are common among clinical personnel. Quality of life may be improved by modification of the factors responsible for poor sleep quality.