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Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention.
Mutiso, Victoria N; Ndetei, David M; Muia, Esther N; Musyimi, Christine; Masake, Monicah; Osborn, Tom L; Sourander, Andre; Weisz, John R; Mamah, Daniel.
Afiliação
  • Mutiso VN; Africa Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya.
  • Ndetei DM; Department of Psychiatry, University of Nairobi, Nairobi, Kenya.
  • Muia EN; Africa Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya. dmndetei@amhf.or.ke.
  • Musyimi C; Department of Psychiatry, University of Nairobi, Nairobi, Kenya. dmndetei@amhf.or.ke.
  • Masake M; World Psychiatric Association Collaborating Centre for Research and Training, Nairobi, Kenya. dmndetei@amhf.or.ke.
  • Osborn TL; Department of Public and Community Health, Machakos University, Machakos, Kenya.
  • Sourander A; Africa Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya.
  • Weisz JR; Department of Psychiatry, University of Nairobi, Nairobi, Kenya.
  • Mamah D; Department of Public and Community Health, Machakos University, Machakos, Kenya.
Sci Rep ; 13(1): 580, 2023 01 11.
Article em En | MEDLINE | ID: mdl-36631469
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Saúde Pública Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male País como assunto: Africa Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Saúde Pública Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male País como assunto: Africa Idioma: En Ano de publicação: 2023 Tipo de documento: Article