Journal of Occupational Health
Online ISSN : 1348-9585
Print ISSN : 1341-9145
ISSN-L : 1341-9145
Original Articles
Factors affecting the early resignation of newly employed nurses: a prospective observational study
Seunghyeon Cho, Kyung Wook Kang, Hyeonjun Kim, Inho Jung, Sunjin Jung, JiHwan Kim, Won-Ju Park
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JOURNAL OPEN ACCESS

2026 Volume 68 Issue 1 Article ID: uiag032

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Abstract

Background Nurse resignation is a major issue in global health care systems. Nurses experience health problems due to irregular night shift work and excessive work demands. This study investigated the association between initial factors at the start of employment and the early resignation of newly employed nurses at 2 university hospitals.

Methods This study conducted a prospective follow-up of 641 new nurses for 6 months. Data on sleep problems, depression, anxiety, and stress-related factors were collected during job orientation. Early resignation was defined as voluntary resignation within 6 months of starting work. Multiple logistic regression analysis was conducted to identify significant factors.

Results The mean age of participants was 23.7 years, and most were female (86.6%). During the 6-month follow-up, 243 nurses (37.9%) resigned. Nurses who resigned early were slightly older and reported higher baseline levels of perceived stress, depression, and anxiety, as well as fewer stress relievers. Early resignation was also more frequent among participants with perceived socioeconomic vulnerability (PSV). In adjusted analyses, high perceived stress (adjusted odds ratio [aOR], 2.203; 95% CI, 1.088-4.459; P = .028) and PSV (aOR, 1.622; 95% CI, 1.162-2.264; P = .005) remained independently associated with early resignation. Depression and fewer stress relievers were associated with early resignation in crude analyses.

Conclusions Voluntary early resignation was more common among newly employed nurses who reported high perceived stress and PSV before starting work. High perceived stress and PSV served as independent predictors of early resignation, while depression and limited stress-relief resources may represent additional potential risk factors during the early transition period. Early stress assessment, mental health-oriented support, and tailored educational interventions for new nurses may help to reduce early resignation rates.

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© The Author(s) 2026. Published by Oxford University Press on behalf of the Japan Society for Occupational Health.

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