Modelling the factor structure of the Child Depression Inventory in a population of apparently healthy adolescents in Nigeria

Childhood and adolescent depression is common and often persists into adulthood with negative implications for school performances, peer relationship and behavioural functioning. The Child Depression Inventory (CDI) has been used to assess depression among adolescents in many countries including Nig...

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Bibliographic Details
Published in:PloS one 2018-03, Vol.13 (3), p.e0193699-e0193699
Main Authors: Olorunju, Samson Bamidele, Akpa, Onoja Matthew, Afolabi, Rotimi Felix
Format: Article
Language:English
Subjects:
Adequacy
Adolescent
Adolescents
Biology and Life Sciences
Child
Child development
Childhood depression
Children
Children & youth
Confidence intervals
Demographic aspects
Demographics
Depression - epidemiology
Earth Sciences
Epidemiology
Factor analysis
Female
Health
Health aspects
Humans
Male
Medical statistics
Medicine and Health Sciences
Mental depression
Modelling
Models, Statistical
Nigeria - epidemiology
Pain
People and Places
Physical Sciences
Population
Quantitative psychology
Questionnaires
Reliability analysis
Reliability aspects
Research and Analysis Methods
Research methodology
Social interactions
Social Sciences
Sociodemographics
Statistical analysis
Statistical tests
Studies
Teenagers
Urban areas
Young Adult
Youth
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Summary:Childhood and adolescent depression is common and often persists into adulthood with negative implications for school performances, peer relationship and behavioural functioning. The Child Depression Inventory (CDI) has been used to assess depression among adolescents in many countries including Nigeria but it is uncertain if the theoretical structure of CDI appropriately fits the experiences of adolescents in Nigeria. This study assessed varying theoretical modelling structure of the CDI in a population of apparently healthy adolescents in Benue state, Nigeria. Data was extracted on CDI scale and demographic information from a total of 1, 963 adolescents (aged 10-19 years), who participated in a state wide study assessing adolescent psychosocial functioning. In addition to descriptive statistics and reliability tests, Exploratory Factor Analysis (EFA) and Confirmatory Factor analysis (CFA) were used to model the underlying factor structure and its adequacy. The suggested new model was compared with existing CDI models as well as the CDI's original theoretical model. A model is considered better, if it has minimum Root Mean Square Error of Approximation (RMSEA
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0193699