| Literature DB >> 32877320 |
Noha Mohammed Elghazally1, Asmaa Omar Atallah1.
Abstract
INTRODUCTION: Bullying is an aggressive behaviour that involves unwanted negative actions, which are repeated over time that can negatively impact a person. AIM: To explore bullying behaviours experienced by Tanta University undergraduate students during their study in clinical medical education.Entities:
Keywords: Bullying; fellow; policy; support; verbal
Year: 2020 PMID: 32877320 PMCID: PMC7646535 DOI: 10.1080/19932820.2020.1816045
Source DB: PubMed Journal: Libyan J Med ISSN: 1819-6357 Impact factor: 1.657
Socio-demographic features of studied sample.
| Variable | No. | % | |
|---|---|---|---|
| Year of study | Fourth year | 598 | 57.6% |
| Fifth year | 230 | 22.1% | |
| Sixth year | 211 | 20.3% | |
| Age(years): (Mean± SD) | Range (21–24 years): 22.6 ± 4.89 | ||
| Sex | Male | 416 | 40.0% |
| Female | 623 | 60.0% | |
| Residence | Urban | 577 | 55.5% |
| Rural | 462 | 44.5% | |
| Supervision in home | Father | 795 | 76.5 |
| Mother | 181 | 17.4 | |
| None | 63 | 6.1 | |
| Having an Intimate friend | No | 193 | 18.6 |
| Yes | 846 | 81.4 | |
| Presence of Disability | No | 975 | 93.8 |
| Yes | 64 | 6.2 | |
| Presence of mental health problems | No | 788 | 75.8 |
| Yes | 251 | 24.2 | |
History of exposure to bullying and response among studied sample.
| Exposure to bullying | Number | % | |
|---|---|---|---|
| History of exposure to bullying | Yes | 738 | 71.1 |
| No | 301 | 28.9 | |
| Frequency of exposure | Single time | 374 | 50.6 |
| Multiple | 364 | 49.4 | |
| Response after exposure | None | 674 | 91.3 |
| Discuss with family | 36 | 4.9 | |
| Discuss with staff | 24 | 3.3 | |
| Discuss with friends | 4 | 0.5 | |
| Support after discussion | No | 54 | 84.4% |
| Yes | 10 | 15.6% | |
Types and perpetrators of bullying among studied sample.
| Types of bullying | |||
|---|---|---|---|
| Perpetrators | Professors | 49(27.8%) | |
| Other staff | 36(20.5%) | ||
| Fellow students | 91(51.7%) | ||
| Perpetrators | Professors | 164(30.1%) | |
| Other staff | 102(18.7%) | ||
| Fellow students | 279(51.2%) | ||
| Perpetrators | Professors | 29(14.9%) | |
| Other staff | 39(20.1%) | ||
| Fellow students | 126(65.0%) | ||
| Perpetrators | Professors | 98(20.7%) | |
| Other staff | 96(20.3%) | ||
| Fellow students | 278(59.0%) | ||
| Perpetrators | Professors | 71(27.5%) | |
| Other staff | 53(20.5%) | ||
| Fellow students | 134(52.0%) | ||
Gender based differences of types and actors of bullying.
| Physical | Verbal | Written | Behavioural | Being ignored | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | Female | Male | Female | Male | Female | Male | Female | Male | Female | |||
| Types of Bullying | Yes | 95(30.7%) | 81(18.9%) | 224(72.5%) | 321(74.8%) | 87(28.1%) | 107(24.9%) | 179(57.9%) | 293(68.3%) | 119(38.5%) | 139(32.4%) | |
| No | 214(69.3%) | 348(81.1%) | 85(27.5%) | 108(25.2%) | 222(71.9%) | 322(75.1%) | 130(42.1%) | 136(31.7%) | 190(61.5%) | 290(67.6%) | ||
| P value | 0.00* | 0.4 | 0.3 | 0.002* | 0.08 | |||||||
| Actors of Bullying | Professor | 33(34.7%) | 16(19.8%) | 72(32.1%) | 92(28.7%) | 19(21.8%) | 10(9.3%) | 48(26.8%) | 50(17.1%) | 35(29.4%) | 36(25.9%) | |
| Other staff | 22(3.2%) | 14(17.3%) | 50(22.3%) | 52(16.2%) | 20(23.0%) | 19(17.8%) | 39(21.8%) | 57(19.2%) | 27(22.7%) | 26(18.7%) | ||
| Fellow student | 40(42.1%) | 51(63.0%) | 102(45.5%) | 177(55.1%) | 48(55.2%) | 78(72.9%) | 92(51.4%) | 186(63.7%) | 57(47.9%) | 77(55.4%) | ||
| P value | 0.01* | 0.06 | 0.02* | 0.001* | 0.4 | |||||||
* p‹0.005
Multiple linear regression analysis of some factors affecting exposure to bullying.
| Variables | Beta | SE | Significance |
|---|---|---|---|
| Age | .005 | .006 | 0.876 |
| Gender | −.063 | .029 | 0.045* |
| Residence | .018 | .028 | 0.551 |
| Having intimate friend | −.039 | .036 | 0.208 |
| Presence of disability | .075 | .058 | 0.016* |
| Presence of mental health problems | .228 | .033 | 0.000* |
* p‹0.005