Factors Associated with Elevated Depression Scores among Children and Adolescents: A Study of selected Children’s Homes in Kajiado County, Kenya

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Main Authors: Chege, Mary, Munene, Alice, Oladipo, Rebecca
Format: Article
Language:English
Published: International Journal of Social Sciences and Economic Research 2020
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Online Access:https://repository.daystar.ac.ke/handle/123456789/3130
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author Chege, Mary
Munene, Alice
Oladipo, Rebecca
author_facet Chege, Mary
Munene, Alice
Oladipo, Rebecca
author_sort Chege, Mary
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description Journal Article
format Article
id oai:repository.daystar.ac.ke:123456789-3130
institution Daystar University
language English
publishDate 2020
publisher International Journal of Social Sciences and Economic Research
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spelling oai:repository.daystar.ac.ke:123456789-31302024-02-21T18:02:20Z Factors Associated with Elevated Depression Scores among Children and Adolescents: A Study of selected Children’s Homes in Kajiado County, Kenya Chege, Mary Munene, Alice Oladipo, Rebecca Depression Children depression inventory Predictors Journal Article The purpose of this study was to assess the effectiveness of behavioural activation (BA) in reducing depression symptoms. Depression is a common mental health problem associated with significant morbidity and mortality. Children entering foster care have a higher prevalence of clinically significant depression than children reared at home. This study examined the factors associated with elevated depression scores among children and adolescents in seven selected children’s homes in Kajiado County. A quasiexperimental study was conducted with 186 participants aged 9-17 years. The participants (male and female) with a mean age of 13 years were purposively sampled. Data collection tools included Child Depression Inventory (CDI) for assessment of depression and a demographic questionnaire to gather socio-demographic data. Logistic regression revealed three predictors that were significantly associated with elevated CDI scores, namely using Kiswahili as the primary language of communication, death of father, and age/class. The study revealed that the overall level of depression was 18.6 (±5.6SD). Recommendations were made for routine and frequent mental check-ups to be provided in those homes in an effort to help identify depression symptoms and intervene appropriately and timely. Daystar University, 44400, 00100 School of Human & Social Sciences 2020-03-02T14:01:09Z 2020-03-02T14:01:09Z 2018 Article Chege, M., Oladipo, R.., & Munene, A. (2017). Factors associated with elevated anxiety scores among children and adolescents: a study of selected children’s homes in Kajiado County, Kenya. International Journal of Social Sciences and Economic Research, 2(5), 3603-3614. www.ijsser.org ISSN: 2455-8834. 978-9966-936-05-9 https://repository.daystar.ac.ke/handle/123456789/3130 en application/pdf International Journal of Social Sciences and Economic Research
spellingShingle Depression
Children depression inventory
Predictors
Chege, Mary
Munene, Alice
Oladipo, Rebecca
Factors Associated with Elevated Depression Scores among Children and Adolescents: A Study of selected Children’s Homes in Kajiado County, Kenya
title Factors Associated with Elevated Depression Scores among Children and Adolescents: A Study of selected Children’s Homes in Kajiado County, Kenya
title_full Factors Associated with Elevated Depression Scores among Children and Adolescents: A Study of selected Children’s Homes in Kajiado County, Kenya
title_fullStr Factors Associated with Elevated Depression Scores among Children and Adolescents: A Study of selected Children’s Homes in Kajiado County, Kenya
title_full_unstemmed Factors Associated with Elevated Depression Scores among Children and Adolescents: A Study of selected Children’s Homes in Kajiado County, Kenya
title_short Factors Associated with Elevated Depression Scores among Children and Adolescents: A Study of selected Children’s Homes in Kajiado County, Kenya
title_sort factors associated with elevated depression scores among children and adolescents: a study of selected children’s homes in kajiado county, kenya
topic Depression
Children depression inventory
Predictors
url https://repository.daystar.ac.ke/handle/123456789/3130
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