Abstract
Aims: To clarify the subgroups of overtime work motivations and to determine how fatigue, mental status, and work engagement differ among the subgroups. Design: Cross-sectional. Methods: Questionnaires were distributed to 1,075 full-time nurses working in four hospitals in Japan from October 2015 - February 2016. Nurses were categorized into subgroups of overtime work motivation by latent class analysis. An analysis of covariance was conducted to examine how fatigue, mental status, and work engagement differ among subgroups. Results/Findings: We identified five types of overtime workers differing greatly in fatigue, mental status, and work engagement. Conclusions: Even when nurses worked approximately the same work hours, the difference in motivation corresponded to different degrees of fatigue, mental status, and work engagement. When introducing policies to reduce overtime work, managers should consider the different groups of overtime workers, as effective measures may differ.
| Original language | English |
|---|---|
| Journal | Journal of Advanced Nursing |
| DOIs | |
| Publication status | Published - 2019 Jan 1 |
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Keywords
- fatigue
- latent class analysis
- mental status
- motivation
- nurses
- overtime
- work engagement
ASJC Scopus subject areas
- Nursing(all)
Cite this
Subtypes of overtime work and nurses’ fatigue, mental status, and work engagement : A latent class analysis of Japanese hospital nurses. / Watanabe, Mayumi; Yamauchi, Keita.
In: Journal of Advanced Nursing, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Subtypes of overtime work and nurses’ fatigue, mental status, and work engagement
T2 - A latent class analysis of Japanese hospital nurses
AU - Watanabe, Mayumi
AU - Yamauchi, Keita
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Aims: To clarify the subgroups of overtime work motivations and to determine how fatigue, mental status, and work engagement differ among the subgroups. Design: Cross-sectional. Methods: Questionnaires were distributed to 1,075 full-time nurses working in four hospitals in Japan from October 2015 - February 2016. Nurses were categorized into subgroups of overtime work motivation by latent class analysis. An analysis of covariance was conducted to examine how fatigue, mental status, and work engagement differ among subgroups. Results/Findings: We identified five types of overtime workers differing greatly in fatigue, mental status, and work engagement. Conclusions: Even when nurses worked approximately the same work hours, the difference in motivation corresponded to different degrees of fatigue, mental status, and work engagement. When introducing policies to reduce overtime work, managers should consider the different groups of overtime workers, as effective measures may differ.
AB - Aims: To clarify the subgroups of overtime work motivations and to determine how fatigue, mental status, and work engagement differ among the subgroups. Design: Cross-sectional. Methods: Questionnaires were distributed to 1,075 full-time nurses working in four hospitals in Japan from October 2015 - February 2016. Nurses were categorized into subgroups of overtime work motivation by latent class analysis. An analysis of covariance was conducted to examine how fatigue, mental status, and work engagement differ among subgroups. Results/Findings: We identified five types of overtime workers differing greatly in fatigue, mental status, and work engagement. Conclusions: Even when nurses worked approximately the same work hours, the difference in motivation corresponded to different degrees of fatigue, mental status, and work engagement. When introducing policies to reduce overtime work, managers should consider the different groups of overtime workers, as effective measures may differ.
KW - fatigue
KW - latent class analysis
KW - mental status
KW - motivation
KW - nurses
KW - overtime
KW - work engagement
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UR - http://www.scopus.com/inward/citedby.url?scp=85067893206&partnerID=8YFLogxK
U2 - 10.1111/jan.13991
DO - 10.1111/jan.13991
M3 - Article
C2 - 30835840
AN - SCOPUS:85067893206
JO - Journal of Advanced Nursing
JF - Journal of Advanced Nursing
SN - 0309-2402
ER -