Arch Iran Med. 2018;21(11): 524-529.
PMID: 30551693
Scopus ID: 85059288967
  Abstract View: 2451
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Original Article

Sleep Quality and its Main Determinants Among Staff in a Persian Private Hospital

Banafsheh Nikfar 1 ORCID logo, Bahram Moazzami 1, Shahla Chaichian 2*, Leila Ghalichi 3 ORCID logo, Mahnaz Ekhlasi-Hundrieser 4, Mohammadreza Chashmyazdan 1, Batool Kazemi 1, Fatemeh Soltan 1, Mahshid Bozorgizadeh 1, Meisam Akhlaghdoust 1, Marzie Salehi 1, Yousef Alimohamadi 1

1 Pars Advanced and Minimally Invasive Medical Manners Research Center, Pars Hospital, Iran University of Medical Sciences, Tehran, Iran
2 Minimally Invasive Techniques Research Center in Women, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran
3 Mental Health Research Center, Iran University of Medical Sciences, Tehran, Iran
4 Werlhof-Institut, Hannover, Germany
*Corresponding Author: Email: shchaichian@gmail.com


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. 

Cite this article as: Nikfar B, Moazzami B, Chaichian S, Ghalichi L, Ekhlasi-Hundrieser M, Chashmyazdan M, et al. Sleep quality and its main determinants among staff in a Persian private hospital. Arch Iran Med. 2018;21(11):524–529.
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