| Literature DB >> 35155359 |
Tolulope O Afolaranmi1,2, Zuwaira I Hassan1,2, Benjamin M Gokir3, Abdulrahman Kilani3, Raphael Igboke3, Kainechukwu G Ugwu4, Chikwendu Amaike5, Akinyemi O D Ofakunrin6.
Abstract
BACKGROUND: Bullying is public health problem globally in workplaces with untold deleterious effects on the health and well-being of individuals at the receiving end. Bullying has been found to disrupt social interaction at workplace thereby creating an unhealthy and seemingly unproductive work environment. Studies have reported varying rates of workplace bullying as high as 83% in Europe, 65% in the Americas and 55% in Asia with very little documented in the contemporary African setting and Nigeria in particular. It therefore became imperative to assess the level of bullying and its associated factors among medical doctors in residency training in a tertiary health institution in Plateau state Nigeria.Entities:
Keywords: Nigeria; associated factors; bullying; medical doctors; residency training; tertiary health institution; workplace
Mesh:
Year: 2022 PMID: 35155359 PMCID: PMC8830776 DOI: 10.3389/fpubh.2021.812979
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Socio-demographic characteristics of the respondents.
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| ≤30 | 46 | 37.1 |
| 31 and above | 78 | 62.9 |
| Mean ± SD | ||
| Mean age | 32.3 ± 3.9 years | |
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| Male | 91 | 73.4 |
| Female | 33 | 26.6 |
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| Christianity | 120 | 96.8 |
| Islam | 4 | 3.2 |
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| Registrar | 95 | 76.6 |
| Senior Registrar | 29 | 23.4 |
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| ≤3 | 91 | 73.4 |
| 4 and above | 33 | 26.6 |
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| Single | 62 | 50.0 |
| Married | 62 | 50.0 |
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| Surgery and its sub-specialties | 19 | 15.3 |
| Internal Medicine | 14 | 11.3 |
| Obstetrics and Gynecology | 15 | 12.1 |
| Peadiatrics | 8 | 6.5 |
| Family Medicine | 13 | 10.5 |
| Community Medicine | 14 | 11.3 |
| Laboratory Medicine | 13 | 10.5 |
| Others* | 28 | 22.6 |
SD, Standard Deviation. *Psychiatry, radiology ophthalmology, otorhinolaryngology, anesthesia, dentistry.
Laboratory Medicine, Hematology, medical microbiology, chemical pathology, histopathology.
Prevalence and forms of workplace bullying.
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| Yes | 86 | 69.4 |
| No | 38 | 30.6 |
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| Experienced | 74 | 59.7 |
| Not experienced | 50 | 40.3. |
| Superior to subordinate | 74 | 100.0 |
| Among peers | 0 | 0.0 |
| Verbal aggregation and threats | 63 | 85.1 |
| Playing of mind games | 28 | 37.8 |
| Social isolation | 20 | 27.0 |
| Insults or derogatory remarks | 55 | 74.3 |
| Intimidation | 45 | 60.8 |
| Neglecting one's opinion | 38 | 51.4 |
Multiple logistic regression of factors influencing workplace bullying.
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| ≤30 | 1.42 (0.68–2.97) | 0.354 | 1.16 (0.43–3.12) | 0.763 |
| 31 and above | 1 | – | 1 | – |
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| Female | 0.45 (0.20–1.02) | 0.054 | 0.84 (0.29–2.41) | 0.747 |
| Male | 1 | – | 1 | – |
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| Single | 1.30 (0.64–2.69) | 0.464 | 1.64 (0.63–4.28) | 0.312 |
| Married | 1 | – | – | – |
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| Senior Registrar | 0.59 (0.25–1.44) | 0.247 | 0.75 (0.20–2.82) | 0.667 |
| Registrar | 1 | – | – | – |
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| No | 0.165 (0.07–0.38) | <0.001 | 0.18 (0.07–0.45) | <0.001 |
| Yes | 1 | – | – | – |
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| 4 years and above | 0.89 (0.40–1.99) | 0.774 | 0.42 (0.12–1.49) | 0.180 |
| ≤3 years | 1 | – | – | – |
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| Surgery and its sub-specialties | 2.20 (0.64–7.58) | 0.213 | 1.73 (0.43–6.96) | 0.442 |
| Internal medicine | 4.67 (0.40–53.93) | 0.217 | 3.19 (0.24–43.22) | 0.384 |
| Obstetrics and gynecology | 1.37 (0.29–6.36) | 0.695 | 1.08 (0.20–5.91) | 0.458 |
| Peadiatrics | 1.05 (0.26–4.32) | 0.946 | 0.87 (0.17–4.47) | 0.867 |
| Family medicine | 0.47 (0.07–3.34) | 0.448 | 0.41 (0.05–3.76) | 0.433 |
| Community medicine | 10.50 (1.02–18.58) | 0.002 | 5.21 (0.24–6.94) | 0.055 |
| Laboratory medicine | 1.94 (0.32–11.76) | 0.469 | 1.23 (0.15–9.88) | 0.847 |
| Others | 1 | – | – | – |
Psychiatry, radiology ophthalmology, otorhinolaryngology, anesthesia, dentistry.
Laboratory Medicine, Hematology, medical microbiology, chemical pathology, histopathology; COR, Crude Odds Ratio; AOR, Adjusted Odds Ratio.
Age group, sex, marital status, level of training, witnessing colleague being bullied, duration of training and field of specialization were all adjusted for in the multiple logistic regression model.