Work Factors related to Sleep Quality among Professional Nurses in the Inpatient Department, Faculty of Medicine Vajira Hospital

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Nitchawan Kerdcharoen
Chaiyaporn Wisitpongaree
Chanyawach Padermpornromyen
Chitipat Jaroennophakunsri
Nuttawut Sittisak
Natheetorn Imeuarbpathom
Sansern Siripattanaphon
Santi Kiatsukjaroen


Objective: To study sleep quality and work factors that affect sleep quality in professional nurses working in the inpatient units of Faculty of Medicine, Vajira Hospital.

Methods: The cross-sectional descriptive study was conducted in 345 inpatient professional nurses at the Faculty of Medicine, Vajira Hospital. The instruments were composed of personal information, sleep hygiene index, work factors and Thai version of the Pittsburgh sleep quality index (T-PSQI). Statistical analysis included descriptive analysis, Chi-square test, Fisher’s exact test and multiple logistic regression.

Results: Most of 345 inpatient professional nurses, mean age (X ± S.D.) was 34.8 ± 10.4 years. Over all sleep hygiene was low with sleep hygiene index score (X ± S.D.) at 2.1 ± 0.3. The total of 295 (85.5 %) reported low sleep quality with mean score of T-PQRS (X ± S.D.) at 8.6 ± 4.3. Significant predictive factors of low sleep quality were age younger than 25, 25-35 and 36-45 years old (ORadj = 3.53, 95%CI: 1.17-10.61, ORadj = 9.72, 95%CI: 3.54-26.70 and ORadj = 3.35, 95%CI: 1.31-8.54), lack of exercise (ORadj = 2.29, 95%CI: 1.15-4.56), having 1-10 morning shifts per months (ORadj = 6.81, 95%CI: 2.31-20.06), 1-6 morning shifts per months (ORadj = 8.84, 95%CI: 1.33-58.95) and viewing amount of work load as moderate or high (ORadj = 2.97, 95%CI: 1.18-7.44 and ORadj = 14.96, 95%CI: 3.92-57.21).

Conclusion: Most of the inpatient professional nurses at the Faculty of Medicine, Vajira Hospital had low sleep quality and low sleep hygiene. Thus, it is highly recommended that hospital administrators should implement policies regarding improvement of sleep quality and sleep hygiene, encouraging regular exercise and arranging more optimal work schedule, particularly the amount of morning and night shift.


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