萧条(经济学)
医学
逻辑回归
抑郁症状
心理干预
轮班制
有序逻辑
优势比
横断面研究
描述性统计
精神科
焦虑
内科学
宏观经济学
经济
病理
机器学习
统计
计算机科学
数学
作者
Hea Young Lee,Mi Sun Kim,Oksoo Kim,I. Lee,Han-Kyoul Kim
摘要
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.
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