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  1. Chan CMH, Wong JE, Yeap LLL, Wee LH, Jamil NA, Swarna Nantha Y
    BMC Public Health, 2019 Jun 13;19(Suppl 4):608.
    PMID: 31196025 DOI: 10.1186/s12889-019-6859-1
    BACKGROUND: 1Little is known of the extent of workplace bullying in Malaysia, despite its growing recognition worldwide as a serious public health issue in the workplace. Workplace bullying is linked to stress-related health issues, as well as socioeconomic consequences which may include absenteeism due to sick days and unemployment. We sought to examine the prevalence of workplace bullying and its association with socioeconomic factors and psychological distress in a large observational study of Malaysian employees.

    METHODS: This study employed cross-sectional, self-reported survey methodology. We used the 6-item Kessler screening scale (K6) to assess psychological distress (cutoff score ≥ 13, range 0-24, with higher scores indicating greater psychological distress). Participants self-reported their perceptions of whether they had been bullied at work and how frequently this occurred. A multivariate logistic regression was conducted with ever bullying and never bullying as dichotomous categories.

    RESULTS: There were a total of 5235 participants (62.3% female). Participant ages ranged from 18 to 85, mean ± standard deviation (M ± SD): 33.88 ± 8.83. A total of 2045 (39.1%) participants reported ever being bullied. Of these, 731 (14.0%) reported being subject to at least occasional bullying, while another 194 (3.7%) reported it as a common occurrence. Across all income strata, mean scores for psychological distress were significantly higher for ever bullied employees (M ± SD: 8.69 ± 4.83) compared to those never bullied (M ± SD: 5.75 ± 4.49). Regression analysis indicated significant associations (p 

    Matched MeSH terms: Bullying/statistics & numerical data*
  2. Ibrahim N, Sherina MS, Phang CK, Mukhtar F, Awang H, Ang JK, et al.
    Med J Malaysia, 2017 08;72(4):221-227.
    PMID: 28889133 MyJurnal
    No abstract available.
    Matched MeSH terms: Bullying/statistics & numerical data
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