Mismatch in working hours and workaholism in permanent waged workers
Shin-Goo Park, Hyung-Doo Kim, Jin-Young Min and 3 more
International Journal of Occupational Medicine and Environmental Health · 2020
doi:10.13075/ijomeh.1896.01448 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Objectives A cross-sectional study was conducted to investigate whether working hours mismatch is associated with workaholism. Material and Methods This study used the data from the 17th wave (2014) of the nationwide Korean Labor and Income Panel Study. Workaholism was evaluated using the Workaholism Analysis Questionnaire. The final study involved 3157 subjects who answered questions regarding both workaholism and working hours mismatch. To identify the association between working hours mismatch and workaholism according to weekly working hours, a stratification analysis was conducted by dividing the number of working hours/week into 3 groups (≤40 h, 41–59 h, and ≥60 h). The odds ratios were calculated using a multiple logistic regression model, which was adjusted for potential confounders. Results The workers working more hours than desired showed the greatest frequency of workaholism. As regards workaholism, in all weekly working hours groups, the odds ratios of the group working more hours than desired were 4.28, 95% CI: 2.29–7.99 (≥40 h), 2.14, 95% CI: 1.34–3.43 (41–59 h), 3.40, 95% CI: 1.60–7.21 (≤60 h), which were statistically significant compared to the reference (matched) group. There was no statistically significant relationship between working hours and workaholism when stratified according to the mismatch in working hours. Conclusions The workers’ working hours mismatch can be significantly related to workaholism. Int J Occup Med Environ Health. 2020;33(2):187–94
Abstract licence: CC BY-NC
References19
19 more references, whose wording the paper’s licence keeps private.
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.