Literature DB >> 34429703

The Effect of Nurses' Work-Life Balance on Work Engagement: The Adjustment Effect of Affective Commitment.

Toshiki Fukuzaki1, Noboru Iwata2, Sawako Ooba3, Shinya Takeda1, Masahiko Inoue1.   

Abstract

BACKGROUND: This study aimed to examine the effects of nurses' work-life balance (WLB), job demands and resources, and organizational attachment on their work engagement (WE). The second aim was to shed light on whether the relationships among WLB, job demands, resources, and WE are modulated by organizational attachment.
METHODS: In total, 425 nurses working in a university hospital responded to the questionnaire. The primary statistical analysis method was hierarchical multiple regression with WE as the dependent variable.
RESULTS: In the model in which all variables were applied, affective commitment (AC) (β = 0.41), family-to-work positive spillover (β = 0.25), and number of children (β = 0.13) were found to have a significant association with WE. Family-to-work negative spillover (FWNS) and AC had significant interaction effects. The result suggests that when AC was low, WE tended to decline further due to FWNS; however, when AC was high, WE did not change due to the effect of FWNS.
CONCLUSION: These results confirmed that to improve nurses' WE, hospital organizations should implement initiatives to facilitate WLB that considers nurses' household roles. Furthermore, high organizational attachment buffered the home's negative influence on work, thereby helping nurses work energetically. ©2021 Tottori University Medical Press.

Entities:  

Keywords:  nurse; work engagement; work-life balance

Year:  2021        PMID: 34429703      PMCID: PMC8380556          DOI: 10.33160/yam.2021.08.005

Source DB:  PubMed          Journal:  Yonago Acta Med        ISSN: 0513-5710            Impact factor:   1.641


  21 in total

1.  Work-family spillover and health during midlife: is managing conflict everything?

Authors:  J G Grzywacz
Journal:  Am J Health Promot       Date:  2000 Mar-Apr

2.  The job demands-resources model of burnout.

Authors:  E Demerouti; A B Bakker; F Nachreiner; W B Schaufeli
Journal:  J Appl Psychol       Date:  2001-06

3.  A longitudinal analysis of the antecedents of organizational commitment.

Authors:  T S Bateman; S Strasser
Journal:  Acad Manage J       Date:  1984-03

4.  Work-home conflict in the European nursing profession.

Authors:  Michael Simon; Angelika Kümmerling; Hans-Martin Hasselhorn
Journal:  Int J Occup Environ Health       Date:  2004 Oct-Dec

Review 5.  Engagement at work: a review of the literature.

Authors:  Michelle R Simpson
Journal:  Int J Nurs Stud       Date:  2008-08-12       Impact factor: 5.837

6.  Empowerment, engagement and perceived effectiveness in nursing work environments: does experience matter?

Authors:  Heather K Spence Laschinger; Piotr Wilk; Julia Cho; Paula Greco
Journal:  J Nurs Manag       Date:  2009-07       Impact factor: 3.325

7.  Predictors of RNs' intent to work and work decisions 1 year later in a U.S. national sample.

Authors:  Carol S Brewer; Christine T Kovner; William Greene; Ying Cheng
Journal:  Int J Nurs Stud       Date:  2008-04-02       Impact factor: 5.837

8.  Effort-reward imbalance and depression among private practice physicians.

Authors:  Akizumi Tsutsumi; Shoko Kawanami; Seichi Horie
Journal:  Int Arch Occup Environ Health       Date:  2011-06-08       Impact factor: 3.015

9.  Development of a short questionnaire to measure an extended set of job demands, job resources, and positive health outcomes: the new brief job stress questionnaire.

Authors:  Akiomi Inoue; Norito Kawakami; Teruichi Shimomitsu; Akizumi Tsutsumi; Takashi Haratani; Toru Yoshikawa; Akihito Shimazu; Yuko Odagiri
Journal:  Ind Health       Date:  2014-02-04       Impact factor: 2.179

10.  Job Stress and Presenteeism among Chinese Healthcare Workers: The Mediating Effects of Affective Commitment.

Authors:  Tianan Yang; Yina Guo; Mingxu Ma; Yaxin Li; Huilin Tian; Jianwei Deng
Journal:  Int J Environ Res Public Health       Date:  2017-08-29       Impact factor: 3.390

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