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dc.contributor.authorMutiso, Victoria N
dc.contributor.authorNdetei, David M
dc.contributor.authorMuia, Esther N
dc.contributor.authorMasake, Monicah
dc.contributor.authorAlietsi, Rita K
dc.contributor.authorOnsinyo, Lydia
dc.contributor.authorMusyimi, Christine
dc.contributor.authorMamah, Daniel
dc.date.accessioned2023-11-08T09:53:11Z
dc.date.available2023-11-08T09:53:11Z
dc.date.issued2023
dc.identifier.citationMutiso VN, Ndetei DM, Muia EN, Masake M, Alietsi RK, Onsinyo L, Musyimi C, Mamah D. Risk of autism spectrum disorder and association of its symptoms with psychiatric and substance use disorders in non-clinical student sample in Kenya: cross-sectional study. BJPsych Open. 2023 Aug 22;9(5):e160. doi: 10.1192/bjo.2023.503. PMID: 37605834; PMCID: PMC10486240.en_US
dc.identifier.urihttps://pubmed.ncbi.nlm.nih.gov/37605834/
dc.identifier.urihttp://erepository.uonbi.ac.ke/handle/11295/163916
dc.description.abstractBackground: The prevalence and patterns of autism spectrum disorder (ASD) symptoms/traits and the associations of ASD with psychiatric and substance use disorders has not been documented in non-clinical students in Sub-Saharan Africa, and Kenya in particular. Aims: To document the risk level of ASD and its traits in a Kenyan student population (high school, college and university) using the Autism-Spectrum Quotient (AQ); and to determine the associations between ASD and other psychiatric and substance use disorders. Method: This was a cross-sectional study among students (n = 9626). We used instruments with sufficient psychometric properties and good discriminative validity to collect data. A cut-off score of ≥32 on the AQ was used to identify those at high risk of ASD. We conducted the following statistical tests: (a) basic descriptive statistics; (b) chi-squared tests and Fisher's exact tests to analyse associations between categorical variables and ASD; (c) independent t-tests to examine two-group comparisons with ASD; (d) one-way analysis of variance to make comparisons between categorical variables with three or more groups and ASD; (e) statistically significant (P < 0.05) variables fitted into an ordinal logistic regression model to identify determinants of ASD; (f) Pearson's correlation and reliability analysis. Results: Of the total sample, 54 (0.56%) were at high risk of ASD. Sociodemographic differences were found in the mean scores for the various traits, and statistically significant (P < 0.05) associations we found between ASD and various psychiatric and substance use disorders. Conclusions: Risk of ASD, gender characteristics and associations with psychiatric and substance use disorders are similar in this Kenyan sample to those found in Western settings in non-clinical populations.en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectASD; Kenyan students; patterns; psychiatric and substance use disorders; risk.en_US
dc.titleRisk of autism spectrum disorder and association of its symptoms with psychiatric and substance use disorders in non-clinical student sample in Kenya: cross-sectional studyen_US
dc.typeArticleen_US


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