| Literature DB >> 26320732 |
Mats Glambek1, Anders Skogstad, Ståle Einarsen.
Abstract
In recent series of studies, we have shown that targets of workplace bullying are at risk of expulsion in working life, both from current employment (e.g. in terms of changing employer) and from working life itself (e.g. becoming unemployed). The most recent of these, Take It or Leave: A Five-Year Prospective Study of Workplace Bullying and Indicators of Expulsion in Working Life was recently published in Industrial Health, and the present short communication aims to follow up that paper, investigating the possible job "survival" of the perpetrators. A nationally representative sample was employed (n=1,613), and responses were gathered at three time points with a two-year and a five-year time-lag. Outcomes were intention to leave and sickness absence at T1, and sickness absence, change of employer, disability benefit recipiency and unemployment at T2 and T3. The results of regression analyses clearly indicate that the perpetrators' occupational status is largely unchanged, and remains so over time, as opposed to earlier findings regarding the targets of bullying.Entities:
Mesh:
Year: 2015 PMID: 26320732 PMCID: PMC4791295 DOI: 10.2486/indhealth.2015-0075
Source DB: PubMed Journal: Ind Health ISSN: 0019-8366 Impact factor: 2.179
Logistic regression analyses with being a perpetrator of bullying as a predictor of outcomes associated with expulsion in working life
| Controlling for age and gender | Controlling for age, gender | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| N | % | OR | 95 % CI | Sig. | OR | 95 % CI | Sig. | ||||
| Cross-sectional analyses | |||||||||||
| Intention to leave | 1,087 | 45.9 | 1.29 | 0.75–2.21 | Ns. | 0.69 | 0.37–1.26 | Ns. | |||
| More than 24 sick days | 240 | 10.2 | 1.02 | 0.43–2.39 | Ns. | 0.27 | 0.08–0.99 | * | |||
| Prospective analyses | |||||||||||
| More than 24 sick days T2 | 158 | 10.3 | 2.45 | 1.03–6.06 | * | 2.01 | 0.75–5.85 | Ns. | |||
| More than 24 sick days T3 | 138 | 10.6 | .56 | 0.13–2.38 | Ns. | 0.51 | 0.11–2.31 | Ns. | |||
| Change of employer T2 | 234 | 14.9 | 1.04 | 0.76–1.38 | Ns. | 0.86 | 0.33–2.24 | Ns. | |||
| Change of employer T3 | 455 | 32.9 | 0.84 | 0.41–1.72 | Ns. | 0.91 | 0.42–1.97 | Ns. | |||
| Unemployment T2 | 20 | 0.8 | 0 | - | Ns. | 0 | - | Ns. | |||
| Unemployment T3 | 17 | 1.1 | 2.06 | 0.26–16.61 | Ns. | 1.45 | 0.16–13.45 | Ns. | |||
| Disability benefit recipiency T2 | 42 | 1.7 | 3.11 | 0.66–14.58 | Ns. | 0.83 | 0.08–9.19 | Ns. | |||
| Disability benefit recipiency T3 | 71 | 4.5 | 4.16 | 1.45–11.92 | ** | 2.66 | 0.66–10.73 | Ns. | |||
*p<0.05, **p<0.01, Ns.: Non-significant, OR: odds ratio, 95% CI: 95% confidence interval. In the prospective analyses predicting Sick Days >24 d, T1-levels of the same variable was added to the control variables