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Predictors of depression among adolescents joining selected public secondary schools in Nairobi County, Kenya

Bibliographic Data

ID21376156
AuthorsAggrey Gisiora Mokaya (0000-0002-6663-6330, Training Programs, Graduate School Kenya Medical Research Institute Nairobi Kenya, corresponding author), Gideon Kikuvi (0009-0003-3117-9023, Jomo Kenyatta University of Agriculture and Technology), Gideon M Kikuvi (Department of Environmental Health and Disease Control Jomo Kenyatta University of Agriculture and Technology Juja Kenya), Joseph Mutai (0000-0002-4154-7577, Training Programs, Graduate School Kenya Medical Research Institute Nairobi Kenya), Lincoln Khasakhala (University of Nairobi), Lincoln I Khasakhala (Department of Psychiatry University of Nairobi Nairobi Kenya), Peter Memiah (0000-0002-3067-188X, Masters in Global Health Program University of Maryland Graduate School Baltimore Maryland USA)
Year2023
Volume60
Issue7
Pages2564-2578
Publication date2023-07-01
Open AccessYes
TypeARTICLE
VenuePsychology in the Schools (JOURNAL)
Journal identifiersISSN: 0033-3085 • E-ISSN: 1520-6807
PublisherWiley (PUBLISHER • GB)
DOI10.1002/pits.22873
OpenAlexW4319349879
LanguageEN
Citations received1
References cited49

Depression is common among adolescents more so during the transition to secondary school, and the psychosocial and emotional changes that accompany adolescence. This study sought to assess the prevalence and predictors of depression among students joining public secondary schools in Nairobi County. The study was carried out at five selected public secondary schools in Nairobi County covering 539 students between the ages of 11 and 18 years. The Patient Health Questionnaire‐Adolescent version (PHQ‐A) was used to collect data on depression. For suicidal behavior, the Suicide Behavior Questionnaire‐revised version was used. The Adolescent Peer Relations Instrument was used to assess bullying victimization. These were augmented by a sociodemographic questionnaire. Depression prevalence rates were generated using a generalized linear model customized with a log link and a Poisson distribution for a common binary outcome. The prevalence of depression was found to be 14.5%, with a mean PHQ‐A score of 6.16 (SD = 3.16). Predictors of depression were suicide risk (adjusted prevalence ratio [aPR] = 3.07, confidence interval, CI [1.94–4.88]; p p = .001). Depression is prevalent among adolescents joining secondary schools in Nairobi County. Counselor‐led school‐based cognitive behavioral therapy could be a sustainable strategy for reducing depression symptoms and guiding preventive efforts among adolescents in this context

Cognition · Context (archaeology) · Depression (economics) · Depressive symptoms · Environmental health · Injury prevention · Mental health · Patient Health Questionnaire · Poison control · Poisson regression · Population · Psychiatry · Psychosocial · Public health · Suicide prevention · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · Demography · Medicine · Mental Health Treatment and Access · Psychology · Suicide and Self-Harm Studies

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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