Prevalence of burnout among KSU medical students Article Swipe
Ali Bahathig
,
Fahad Aldhowaihy
,
Khaled Alsmari
,
Tareq A Alluhidan
,
Abdulrahman Y. Alturki
,
Azzam Alghuraybi
,
Ali Alotaibi
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5455/mjhs.2022.03.010
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5455/mjhs.2022.03.010
Background and aims: Burnout in medical students shows interest that has grown significantly over the last few years. This study’s aim is to know the prevalence of burnout in medical students which will help us to determine if this syndrome is common among medical students and if it needs intervention. Methods: This cross-sectional study was conducted with all medical students who were enrolled in the 2019/2020 year at King Saud University in Riyadh, Saudi Arabia. Socio-demographic, burnout level (Maslach Burnout Inventory-General survey for students) data were collected using a self-administered questionnaire. Data were analyzed by using Statistical Package for Social Studies, Chi-square test was used for categorical variables and univariate logistic regression was used to assess the associated factors with burnout. Results: In this study, 337 students were involved, the response rate was (79.2%). The mean age of the participants was 21.5 ±1.46 years, of whom males were (64.99%) while the females were (35.01%). The level of high burnout founded as (9.8%, n=33), while (25.5%, n=86) of students had high levels of emotional exhaustion, (29.4%, n=99) had high levels of cynicism and (34.4%, n=116) had a low level of professional efficacy. Conclusion: Prevalence of burnout was found to be less than estimated documented studies in the region. Academic year was significantly associated with the level of burnout, especially the third academic year, no statistical significance to the association of burnout with gender and age was found. There is a gap in the literature need to be fulfilled to gain more knowledge about causes and effect of burnout.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5455/mjhs.2022.03.010
- OA Status
- diamond
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4288013720
All OpenAlex metadata
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https://openalex.org/W4288013720Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5455/mjhs.2022.03.010Digital Object Identifier
- Title
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Prevalence of burnout among KSU medical studentsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
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2022-01-01Full publication date if available
- Authors
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Ali Bahathig, Fahad Aldhowaihy, Khaled Alsmari, Tareq A Alluhidan, Abdulrahman Y. Alturki, Azzam Alghuraybi, Ali AlotaibiList of authors in order
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https://doi.org/10.5455/mjhs.2022.03.010Publisher landing page
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.5455/mjhs.2022.03.010Direct OA link when available
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Burnout, Emotional exhaustion, Logistic regression, Statistical significance, Depersonalization, Cynicism, Medicine, Clinical psychology, Family medicine, Burnout syndrome, Demography, Psychology, Internal medicine, Politics, Sociology, Law, Political scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Riyadh, | 72 |
| abstract_inverted_index.burnout | 27, 76, 158, 194, 229 |
| abstract_inverted_index.factors | 118 |
| abstract_inverted_index.females | 151 |
| abstract_inverted_index.founded | 159 |
| abstract_inverted_index.medical | 5, 29, 43, 58 |
| abstract_inverted_index.region. | 206 |
| abstract_inverted_index.studies | 203 |
| abstract_inverted_index.(64.99%) | 148 |
| abstract_inverted_index.(79.2%). | 133 |
| abstract_inverted_index.(Maslach | 78 |
| abstract_inverted_index.Academic | 207 |
| abstract_inverted_index.Methods: | 50 |
| abstract_inverted_index.Results: | 121 |
| abstract_inverted_index.Studies, | 100 |
| abstract_inverted_index.academic | 220 |
| abstract_inverted_index.analyzed | 93 |
| abstract_inverted_index.burnout, | 216 |
| abstract_inverted_index.burnout. | 120, 256 |
| abstract_inverted_index.cynicism | 180 |
| abstract_inverted_index.enrolled | 62 |
| abstract_inverted_index.interest | 8 |
| abstract_inverted_index.logistic | 110 |
| abstract_inverted_index.response | 130 |
| abstract_inverted_index.students | 6, 30, 44, 59, 126, 167 |
| abstract_inverted_index.syndrome | 39 |
| abstract_inverted_index.(35.01%). | 153 |
| abstract_inverted_index.2019/2020 | 65 |
| abstract_inverted_index.collected | 86 |
| abstract_inverted_index.conducted | 55 |
| abstract_inverted_index.determine | 36 |
| abstract_inverted_index.efficacy. | 190 |
| abstract_inverted_index.emotional | 172 |
| abstract_inverted_index.estimated | 201 |
| abstract_inverted_index.fulfilled | 246 |
| abstract_inverted_index.involved, | 128 |
| abstract_inverted_index.knowledge | 250 |
| abstract_inverted_index.students) | 83 |
| abstract_inverted_index.study’s | 19 |
| abstract_inverted_index.variables | 107 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.Chi-square | 101 |
| abstract_inverted_index.Prevalence | 192 |
| abstract_inverted_index.University | 70 |
| abstract_inverted_index.associated | 117, 211 |
| abstract_inverted_index.documented | 202 |
| abstract_inverted_index.especially | 217 |
| abstract_inverted_index.literature | 242 |
| abstract_inverted_index.prevalence | 25 |
| abstract_inverted_index.regression | 111 |
| abstract_inverted_index.univariate | 109 |
| abstract_inverted_index.Conclusion: | 191 |
| abstract_inverted_index.Statistical | 96 |
| abstract_inverted_index.association | 227 |
| abstract_inverted_index.categorical | 106 |
| abstract_inverted_index.exhaustion, | 173 |
| abstract_inverted_index.statistical | 223 |
| abstract_inverted_index.participants | 139 |
| abstract_inverted_index.professional | 189 |
| abstract_inverted_index.significance | 224 |
| abstract_inverted_index.intervention. | 49 |
| abstract_inverted_index.significantly | 12, 210 |
| abstract_inverted_index.questionnaire. | 90 |
| abstract_inverted_index.cross-sectional | 52 |
| abstract_inverted_index.Inventory-General | 80 |
| abstract_inverted_index.self-administered | 89 |
| abstract_inverted_index.Socio-demographic, | 75 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.6000000238418579 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.6178777 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |