| Literature DB >> 31196025 |
Caryn Mei Hsien Chan1, Jyh Eiin Wong1, Lena Lay Ling Yeap2, Lei Hum Wee3, Nor Aini Jamil1, Yogarabindranath Swarna Nantha4.
Abstract
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.Entities:
Keywords: Employee health; K6; Mental health; Psychological distress; Socioeconomic status; Vulnerable populations; Workplace bullying
Mesh:
Year: 2019 PMID: 31196025 PMCID: PMC6565541 DOI: 10.1186/s12889-019-6859-1
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics of employees from 47 organisations in Malaysia (N = 5235)
| Characteristic | Never bullied | Ever bullied |
|
|---|---|---|---|
| Gender | 0.001 | ||
| Male | 1286 (40.3) | 690 (33.7) | |
| Female | 1904 (59.7) | 1355 (66.3) | |
| Age (years) | 0.001 | ||
| 18–24 | 435 (13.6) | 269 (13.2) | |
| 25–34 | 1389 (43.5) | 1000 (48.9) | |
| 35–44 | 901 (28.2) | 562 (27.5) | |
| 45–54 | 368 (11.5) | 178 (8.7) | |
| 55–64 | 94 (2.9) | 35 (1.7) | |
| ≥ 65 | 3 (0.1) | 1 (0.0) | |
| Ethnicity | 0.001 | ||
| Malay | 1280 (40.1) | 555 (27.1) | |
| Chinese | 1299 (40.7) | 1051 (51.4) | |
| Indian | 515 (16.1) | 375 (18.3) | |
| Other | 96 (3.1) | 64 (3.1) | |
| Marital status | 0.001 | ||
| Single | 1389 (43.5) | 983 (48.1) | |
| Married | 1638 (51.3) | 934 (45.7) | |
| Separated/ Divorced | 62 (1.9) | 39 (1.9) | |
| Widowed | 23 (0.7) | 8 (0.4) | |
| Prefer not to say | 78 (2.4) | 81 (4.0) | |
| Educational attainment | 0.135 | ||
| No formal education, primary, lower & upper secondary | 270 (8.5) | 163 (8.0) | |
| Post secondary | 578 (18.1) | 328 (16.0) | |
| Undergraduate degree | 1769 (55.5) | 1195 (58.4) | |
| Postgraduate degree | 593 (18.0) | 359 (17.6) | |
| Occupational group | 0.224 | ||
| Manager | 995 (31.2) | 587 (28.7) | |
| Professional | 896 (28.1) | 602 (29.4) | |
| Technician or junior professional | 300 (9.4) | 191 (9.3) | |
| Clerical support worker | 372 (11.7) | 223 (10.9) | |
| Service worker | 32 (1.0) | 23 (1.1) | |
| Sales worker | 110 (3.4) | 80 (3.9) | |
| Skilled agricultural/ forestry/ fishery worker | 1 (0.0) | 0 (0.0) | |
| Plant and machine operator or assembler | 4 (0.1) | 0 (0.0) | |
| Elementary occupations | 1 (0.0) | 1 (0.0) | |
| Other | 265 (8.3) | 163 (8.0) | |
| Don’t know | 43 (1.3) | 37 (1.8) | |
| Prefer not to answer | 171 (5.4) | 138 (6.7) | |
| Work irregular hours | 0.005 | ||
| No | 2558 (80.2) | 1574 (77.0) | |
| Yes | 632 (19.8) | 471 (23.0) | |
| Psychological distress (K6) | 0.001 | ||
| K6 score of 0 to 12 | 2930 (63.9) | 1657 (36.1) | |
| K6 score of 13 and above | 260 (40.1) | 388 (59.9) | |
| Individual income | 0.426 | ||
| ≤ RM 3999 | 1136 (35.6) | 720 (35.2) | |
| RM 4000 to RM 7999 | 923 (28.9) | 625 (30.6) | |
| RM 8000 and above | 1131 (35.5) | 700 (34.2) | |
| Financial concerns | 0.001 | ||
| No | 568 (17.8) | 488 (23.9) | |
| Yes, a little | 1261 (39.5) | 638 (31.2) | |
| Yes, a lot | 1361 (42.7) | 919 (44.9) |
Note: Percentages by column
aPearson’s Chi-square test, 2 tailed
Multivariate logistic regression analyses examining predictors of work bullying among employees (N = 5235)
| Predictors |
| Adjusted OR | 95% CI |
|---|---|---|---|
| Gender | |||
| Male (Ref.) | – | 1.00 | – |
| Female | 0.001 | 1.27 | 1.12–1.44 |
| Age | 0.216 | 1.01 | 1.00–1.02 |
| Marital status | |||
| Single | 0.395 | 0.89 | 0.68–1.17 |
| Married | 0.246 | 0.86 | 0.66–1.11 |
| Separated/ Divorced/ Widowed/ Other (Ref.) | – | 1.00 | – |
| Educational attainment | |||
| No formal education, primary, secondary level | 0.223 | 0.86 | 0.67–1.10 |
| Post secondary | 0.538 | 0.93 | 0.74–1.17 |
| Undergraduate degree | 0.480 | 0.91 | 0.70–1.18 |
| Postgraduate degree (Ref.) | – | 1.00 | – |
| Individual income | |||
| ≤ RM 3999 (Ref.) | – | 1.00 | – |
| RM 4000 to RM 7999 | 0.008 | 1.24 | 1.06–1.45 |
| RM 8000 and above | 0.002 | 1.31 | 1.10–1.56 |
| Psychological distress (K6) | 0.001 | 1.15 | 1.13–1.16 |
Means and standard deviations for psychological distress scores stratified by work bullying status and individual income among employees (N = 5235)
| Variable (score range) | Psychological distress | |||||
|---|---|---|---|---|---|---|
| Never bullied | Ever bullied | Total | ||||
| M ± SD | N (%) | M ± SD | N (%) | M ± SD | N (%) | |
| Individual income | ||||||
| ≤ RM 3999a | 6.78 ± 4.69 | 1136 (35.6) | 9.93 ± 4.76 | 720 (35.2) | 8.00 ± 4.97 | 1856 (35.5) |
| RM 4000 to RM 7999b | 5.83 ± 4.65 | 923 (28.9) | 8.49 ± 4.87 | 625 (30.5) | 6.90 ± 4.91 | 1548 (29.6) |
| RM 8000 and abovec | 4.66 ± 3.86 | 1131 (35.5) | 7.59 ± 4.56 | 700 (34.2) | 5.78 ± 4.37 | 1831 (35.0) |
| Overall (all income levels) | 5.75 ± 4.49 | n = 3190 | 8.69 ± 4.83 | n = 2045 | 6.90 ± 4.84 | N = 5235 |
Note: Percentages by column
a,b,c: all p-values are significant at a 0.05 level