How changes in laughter predict work engagement and workaholism: reciprocal relationships among Japanese employees.

Gain cycle Japanese employees Laughter Loss cycle Reciprocal relations Work engagement Workaholism

Journal

Industrial health
ISSN: 1880-8026
Titre abrégé: Ind Health
Pays: Japan
ID NLM: 2985065R

Informations de publication

Date de publication:
26 Sep 2024
Historique:
medline: 26 9 2024
pubmed: 26 9 2024
entrez: 25 9 2024
Statut: aheadofprint

Résumé

Laughter is related to better well-being in daily life. Previous cross-sectional research among employees showed a positive relationship between laughter and work-related well-being (i.e., work engagement). However, longitudinal and even bidirectional relationships have not been yet explored. This study thus investigated the longitudinal and reciprocal relationships of laughter, with work engagement and workaholism as positive and negative aspects of work-related well-being. Specifically, we conducted two-wave web-based surveys among Japanese employees via an Internet survey company with a one-year interval, and 855 valid data were analyzed. The hypotheses were then tested using structural equation modeling. The results showed that increases in laughter during the previous year were positively and negatively related to future work engagement and workaholism, respectively. In addition, through changes in laughter, the initial work engagement led to future work engagement (gain cycle), whereas initial workaholism led to future workaholism (loss cycle). These findings suggest that laughter and work-related well-being influence each other reciprocally rather than unidirectionally. This underlines the importance of studying reversed as well as regular causal effects in the relationship between laughter and employee well-being.

Identifiants

pubmed: 39322583
doi: 10.2486/indhealth.2024-0135
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Akihito Shimazu (A)

Faculty of Policy Management, Keio University, Japan.

Keiko Sakakibara (K)

Faculty of Sociology, Toyo University, Japan.

Fuad Hamsyah (F)

Graduate School of Media and Governance, Keio University, Japan.
Faculty of Psychology, Universitas Gadjah Mada, Indonesia.

Michiko Kawada (M)

Commerce and Economics, Chiba University of Commerce, Japan.

Daisuke Miyanaka (D)

Faculty of Policy Management, Keio University, Japan.
Better Options, Inc., Japan.

Masahito Tokita (M)

Keio Research Institute at SFC, Japan.

Classifications MeSH