Prevalence and Socio-demographic Factors of Depression among Secondary School Students in Bungoma County, Kenya

Depression is a leading cause of illness and disability among adolescents worldwide, yet evidence on its burden among school-going adolescents in rural Kenyan counties remains limited. This study determined the prevalence and socio-demographic factors of depression among secondary school students in Bungoma County, Kenya, to provide baseline evidence for mental health planning. The study was guided by Hopelessness Theory of Depression and Ecological Systems Theory. An analytical mixed methods cross-sectional study design was adopted. The target population consisted of secondary school students, with a sample size of 400 respondents determined using Taro Yamane formula. The respondents were selected through multistage stratified and systematic sampling from three sub-counties of Bungoma County (Mt. Elgon, Kimilili and Bungoma South). Quantitative data were collected using the Patient Health Questionnaire (PHQ-9) and a structured questionnaire, and analyzed using descriptive statistics and ordinal logistic regression in SPSS version 28. Qualitative data were obtained through ten Focus group discussions with students and twelve in-depth interviews with class teachers, and analyzed thematically. The overall prevalence of depressive symptoms (PHQ-9 score ≥ 5) was 55.5% (n = 222), 41.5% (n = 166) had mild depression, 9.5% (n = 38) moderate depression, 3.5% (n = 14) moderately severe depression and 1.0% (n = 4) severe depression, while 44.5% (n = 178) were not depressed. Female students were found to be almost twice as likely to experience higher levels of depression compared to the males (AOR= 1.71, P= 0.04). On the other hand, students in mixed day and boarding schools were 78% less likely to experience higher level of depression, (AOR = 0.22, P<0.001), compared to those in girls’ boarding and day schools. Further, students who live with extended family were more than twice as likely as those with both parents to experience higher depression levels (AOR = 2.10, P= 0.04). The qualitative data pointed to gender and family structure as possible associations of depression. Depression is highly prevalent among secondary school students in Bungoma County, with one in seven students experiencing moderate to severe depression. Routine school-based mental health screening using validated tools such as the PHQ-9 is recommended to enable early identification, counselling and referral of affected students.

Authors

Institutions

Publication Details

Journal
African Journal of Empirical Research
Published
2026-10-28
DOI
https://doi.org/10.51867/ajernet.7.4.88
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence and Socio-demographic Factors of Depression among Secondary School Students in Bungoma County, Kenya

Grace Buluma Bakesia, Rose Nereah Olayo, Mary Lusike Simiyu
2 links
African Journal of Empirical Research
Mental Health Treatment and Access
article

Prevalence and Socio-demographic Factors of Depression among Secondary School Students in Bungoma County, Kenya

Grace Buluma Bakesia, Rose Nereah Olayo, Mary Lusike Simiyu
article en

Abstract

Depression is a leading cause of illness and disability among adolescents worldwide, yet evidence on its burden among school-going adolescents in rural Kenyan counties remains limited. This study determined the prevalence and socio-demographic factors of depression among secondary school students in Bungoma County, Kenya, to provide baseline evidence for mental health planning. The study was guided by Hopelessness Theory of Depression and Ecological Systems Theory. An analytical mixed methods cross-sectional study design was adopted. The target population consisted of secondary school students, with a sample size of 400 respondents determined using Taro Yamane formula. The respondents were selected through multistage stratified and systematic sampling from three sub-counties of Bungoma County (Mt. Elgon, Kimilili and Bungoma South). Quantitative data were collected using the Patient Health Questionnaire (PHQ-9) and a structured questionnaire, and analyzed using descriptive statistics and ordinal logistic regression in SPSS version 28. Qualitative data were obtained through ten Focus group discussions with students and twelve in-depth interviews with class teachers, and analyzed thematically. The overall prevalence of depressive symptoms (PHQ-9 score ≥ 5) was 55.5% (n = 222), 41.5% (n = 166) had mild depression, 9.5% (n = 38) moderate depression, 3.5% (n = 14) moderately severe depression and 1.0% (n = 4) severe depression, while 44.5% (n = 178) were not depressed. Female students were found to be almost twice as likely to experience higher levels of depression compared to the males (AOR= 1.71, P= 0.04). On the other hand, students in mixed day and boarding schools were 78% less likely to experience higher level of depression, (AOR = 0.22, P<0.001), compared to those in girls’ boarding and day schools. Further, students who live with extended family were more than twice as likely as those with both parents to experience higher depression levels (AOR = 2.10, P= 0.04). The qualitative data pointed to gender and family structure as possible associations of depression. Depression is highly prevalent among secondary school students in Bungoma County, with one in seven students experiencing moderate to severe depression. Routine school-based mental health screening using validated tools such as the PHQ-9 is recommended to enable early identification, counselling and referral of affected students.

African Journal of Empirical ResearchVol. 7(4)
Masinde Muliro University of Science and Technology (KE)
Good health and well-being
Openalex Percentile: Top 8%
Mental Health Treatment and Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon