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Social jetlag and depression in female rotating‐shift nurses: A secondary analysis.
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![loading](/sites/all/modules/hf_eds/images/loading.gif)
- Author(s): Lee, Haeyoung1; Jang, Sun Joo1
- Source:
Perspectives in Psychiatric Care. Oct2022, Vol. 58 Issue 4, p2246-2254. 9p. 5 Charts.- Subject Terms:
*MENTAL depression risk factors; *SHIFT systems; *STATISTICS; *MULTIPLE regression analysis; *AGE distribution; *ONE-way analysis of variance; *RISK assessment; *SLEEP disorders; *PSYCHOLOGICAL tests; *T-test (Statistics); *HOSPITAL nursing staff; *RESEARCH funding; *QUESTIONNAIRES; *CENTER for Epidemiologic Studies Depression Scale; *DESCRIPTIVE statistics; *WORKING hours; *DATA analysis software; *DATA analysis; *MARITAL status; *SECONDARY analysis - Source:
- Additional Information
- Subject Terms:
- Abstract: Purpose: This study aimed to identify the predictors of depression among female rotating‐shift nurses. Design and Methods: This secondary data analysis used data of 190 Korean female rotating‐shift nurses from the parent study conducted in 2018. A multiple logistic regression analysis was performed to identify the predictors of depression. Findings: Young age, poor sleep quality, and greater morning‐shift social jetlag predicted depression among female nurses working a three‐shift schedule. Practice Implications: Nursing management should consider scheduling shifts to minimize nurses' social jetlag and develop interventions for improving sleep quality to prevent depression among female rotating‐shift nurses. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Perspectives in Psychiatric Care is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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