Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention
Abstract This study aimed at determining the prevalence of stress, different types of stress, their severity and their determinants in Kenyan university, college and high school students. The following tools were administered to 9741 students: (1) Researcher-designed socio-demographic tool, (2) Psyc...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-27608-1 |
| _version_ | 1797952549694734336 |
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| author | Victoria N. Mutiso David M. Ndetei Esther N. Muia Christine Musyimi Monicah Masake Tom L. Osborn Andre Sourander John R. Weisz Daniel Mamah |
| author_facet | Victoria N. Mutiso David M. Ndetei Esther N. Muia Christine Musyimi Monicah Masake Tom L. Osborn Andre Sourander John R. Weisz Daniel Mamah |
| author_sort | Victoria N. Mutiso |
| collection | DOAJ |
| description | Abstract This study aimed at determining the prevalence of stress, different types of stress, their severity and their determinants in Kenyan university, college and high school students. The following tools were administered to 9741 students: (1) Researcher-designed socio-demographic tool, (2) Psychiatric Diagnostic Screening Questionnaire (PDSQ) for psychiatric disorders, (3) WERC Stress Screen for stress, (4) Washington Early Recognition Center Affectivity and Psychosis (WERCAP) screen for psychosis and affectivity, (5) Wealth Index Questionnaire for economic indicators. Descriptive analysis for the prevalence of different types of stress and inferential analysis for stress and independent variables were done. Significant variables (p < 0.05) were fitted into generalized linear model to determine independent predictors. The mean age of the respondents was 21.4 years (range 16–43). Money issues were the commonest stressors while alcohol and drug use were the least. The independent predictors of stress were females, college students and use of gas stove. In conclusion, up to 30% of the students suffer from mild to severe stress. The students experience a wide range of stressors. The most important stressors include money and finances, family related problems and concerns about their future. Our findings suggest a public health approach to create stress awareness in students. |
| first_indexed | 2024-04-10T22:48:09Z |
| format | Article |
| id | doaj.art-6642775bff55476c8bcaf3c681e786a9 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-10T22:48:09Z |
| publishDate | 2023-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-6642775bff55476c8bcaf3c681e786a92023-01-15T12:11:45ZengNature PortfolioScientific Reports2045-23222023-01-0113111410.1038/s41598-023-27608-1Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health interventionVictoria N. Mutiso0David M. Ndetei1Esther N. Muia2Christine Musyimi3Monicah Masake4Tom L. Osborn5Andre Sourander6John R. Weisz7Daniel Mamah8Africa Mental Health Research and Training FoundationAfrica Mental Health Research and Training FoundationDepartment of Public and Community Health, Machakos UniversityAfrica Mental Health Research and Training FoundationDepartment of Public and Community Health, Machakos UniversityShamiri InstituteDepartment of Child Psychiatry, Turku University HospitalDepartment of Psychology, Harvard UniversityDepartments of Psychiatry, Washington University Medical SchoolAbstract This study aimed at determining the prevalence of stress, different types of stress, their severity and their determinants in Kenyan university, college and high school students. The following tools were administered to 9741 students: (1) Researcher-designed socio-demographic tool, (2) Psychiatric Diagnostic Screening Questionnaire (PDSQ) for psychiatric disorders, (3) WERC Stress Screen for stress, (4) Washington Early Recognition Center Affectivity and Psychosis (WERCAP) screen for psychosis and affectivity, (5) Wealth Index Questionnaire for economic indicators. Descriptive analysis for the prevalence of different types of stress and inferential analysis for stress and independent variables were done. Significant variables (p < 0.05) were fitted into generalized linear model to determine independent predictors. The mean age of the respondents was 21.4 years (range 16–43). Money issues were the commonest stressors while alcohol and drug use were the least. The independent predictors of stress were females, college students and use of gas stove. In conclusion, up to 30% of the students suffer from mild to severe stress. The students experience a wide range of stressors. The most important stressors include money and finances, family related problems and concerns about their future. Our findings suggest a public health approach to create stress awareness in students.https://doi.org/10.1038/s41598-023-27608-1 |
| spellingShingle | Victoria N. Mutiso David M. Ndetei Esther N. Muia Christine Musyimi Monicah Masake Tom L. Osborn Andre Sourander John R. Weisz Daniel Mamah Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention Scientific Reports |
| title | Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention |
| title_full | Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention |
| title_fullStr | Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention |
| title_full_unstemmed | Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention |
| title_short | Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention |
| title_sort | students stress patterns in a kenyan socio cultural and economic context toward a public health intervention |
| url | https://doi.org/10.1038/s41598-023-27608-1 |
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