Association between shift work and severity of depressive symptoms among female nurses: the Korea Nurses' Health Study. (6th May 2015)

• Record Type: Journal Article
• Authors: Lee, Hea Young; Kim, Mi Sun; Kim, OkSoo; Lee, Il‐Hyun; Kim, Han‐Kyoul
• Is Part Of: Journal of nursing management. Volume 24:Number 2(2016)
• Page Start: 192
• Page End: 200
• Publication Date: 2015-05-06
• Subjects: depressive symptoms -- Korea Nurses' Health Study -- nurse -- shift work; Nursing services -- Administration -- Periodicals; Nursing services -- Business management -- Periodicals; 610.73068
• DOI: 10.1111/jonm.12298
• Languages: English
• ISSNs: 0966-0429

Abstract

Abstract : Aim: To determine the prevalence of depression and the relationship between shift work and depression severity among female nurses in South Korea. Background: Shift work has been associated with higher risks of depressive symptoms, but there is a dearth of research on nurses, particularly investigating the severity of depressive symptoms. Methods: Quantitative data including survey response from 9789 participants were analysed. Statistical analysis included descriptive, Spearman's correlation and multivariable ordinal logistic regression. Results: The numbers of nurses according to the severity of depressive symptoms were 35.2% ( n = 3445), 38.0% ( n = 3716), 16.1% ( n = 1578), 7.6% ( n = 747) and 3.1% ( n = 303) for normal, mild, moderate, severely moderate and severe level of depressive symptoms, respectively. After adjusting for sociodemographic and health behavioural factors, nurses who worked shifts had 1.519‐times greater odds of experiencing a higher severity of depressive symptoms (OR = 1.519, CI = 1.380–1.674, P < 0.001). Conclusion: This study shows a higher prevalence of depressive symptoms among nurses who worked shifts and suggests that shift work may increase the severity of depressive symptoms among female nurses in South Korea. Implications for nursing management: Nursing professionals, managers and health policy makers need to understand the factors influencing depressive symptoms and to use appropriate interventions based on the severity and not just the onset.