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...
Gespeichert in:
| Veröffentlicht in: | PloS one 2018-03, Vol.13 (3), p.e0193699-e0193699 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0193699 |
|---|---|
| container_issue | 3 |
| container_start_page | e0193699 |
| container_title | PloS one |
| container_volume | 13 |
| creator | Olorunju, Samson Bamidele Akpa, Onoja Matthew Afolabi, Rotimi Felix |
| description | 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 |
| doi_str_mv | 10.1371/journal.pone.0193699 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2012590603</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A530433102</galeid><doaj_id>oai_doaj_org_article_93870adabd2e43efb9f5450d60cd0c2f</doaj_id><sourcerecordid>A530433102</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-7b0f565bb4c9145f37e208c02ec47c6a271656b94b92b6a3382f695c61d406793</originalsourceid><addsrcrecordid>eNqNk01v1DAQhiMEoqXwDxBYQkJw2MXxV-ILUrV8rVSoxNfVchw765U3DnZSsQf-O043rTaoB5RDrJnnfZ2ZzGTZ0xwuc1zkb7Z-CK10y863eglzjhnn97LTdEALhiC-f3Q-yR7FuIWQ4pKxh9kJ4hQhysrT7M9nX2vnbNuAfqOBkar3AcQ-DKofggbeXMdXG-tq8E53QcdofQvW7ZVuE7oHtgUSdL4bnOzHTFLIrpMhpd0ebLR0_WYPZO2djioF46j4YhsdrHycPTDSRf1kep9lPz68_776tLi4_LhenV8sFOOoXxQVNJTRqiKK54QaXGgESwWRVqRQTKIiZ5RVnFQcVUxiXCLDOFUsrwlkBcdn2fODb-d8FFPnokAwR5RDBnEi1gei9nIrumB3MuyFl1ZcB3xohAy9VU4LjssCylpWNdIEa1NxQwmFNYOqhgqZ5PV2um2odroeiw7SzUznmdZuROOvBC0JoQQmg1eTQfC_Bh17sbOpd87JVvvh8N0c5RTRhL74B727uolqZCrAtsane9VoKs4phgTjHKJELe-g0lPrnVVpzIxN8Zng9UyQmF7_7hs5xCjW377-P3v5c86-PGIPIxS9G8b5inOQHEAVfIxBm9sm51CMW3LTDTFuiZi2JMmeHf-gW9HNWuC_dM4NcQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2012590603</pqid></control><display><type>article</type><title>Modelling the factor structure of the Child Depression Inventory in a population of apparently healthy adolescents in Nigeria</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Olorunju, Samson Bamidele ; Akpa, Onoja Matthew ; Afolabi, Rotimi Felix</creator><contributor>Scilingo, Enzo Pasquale</contributor><creatorcontrib>Olorunju, Samson Bamidele ; Akpa, Onoja Matthew ; Afolabi, Rotimi Felix ; Scilingo, Enzo Pasquale</creatorcontrib><description>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<0.05), Minimum value of Discrepancy (CMIN/DF<3.0) and Akaike information criteria. All analyses were performed at 95% confidence level, using the version 21 of AMOS and the R software.
Participants were 14.7±2.1 years and mostly male (54.3%), from Monogamous homes (67.9%) and lived in urban areas (52.2%). The measure of the overall internal consistency of the 2-factor CDI was α = 0.84. The 2-factor model had the minimum RMSEA (0.044), CMIN/DF (2.87) and least AIC (1037.996) compared to the other five CDI models.
The child depression inventory has a 2-factor structure in a non-clinical general population of adolescents in Nigeria. Future use of the CDI in related setting may consider the 2-factor model.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0193699</identifier><identifier>PMID: 29522568</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>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</subject><ispartof>PloS one, 2018-03, Vol.13 (3), p.e0193699-e0193699</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Olorunju et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Olorunju et al 2018 Olorunju et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-7b0f565bb4c9145f37e208c02ec47c6a271656b94b92b6a3382f695c61d406793</citedby><cites>FETCH-LOGICAL-c692t-7b0f565bb4c9145f37e208c02ec47c6a271656b94b92b6a3382f695c61d406793</cites><orcidid>0000-0002-0558-5218</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844540/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844540/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29522568$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Scilingo, Enzo Pasquale</contributor><creatorcontrib>Olorunju, Samson Bamidele</creatorcontrib><creatorcontrib>Akpa, Onoja Matthew</creatorcontrib><creatorcontrib>Afolabi, Rotimi Felix</creatorcontrib><title>Modelling the factor structure of the Child Depression Inventory in a population of apparently healthy adolescents in Nigeria</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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<0.05), Minimum value of Discrepancy (CMIN/DF<3.0) and Akaike information criteria. All analyses were performed at 95% confidence level, using the version 21 of AMOS and the R software.
Participants were 14.7±2.1 years and mostly male (54.3%), from Monogamous homes (67.9%) and lived in urban areas (52.2%). The measure of the overall internal consistency of the 2-factor CDI was α = 0.84. The 2-factor model had the minimum RMSEA (0.044), CMIN/DF (2.87) and least AIC (1037.996) compared to the other five CDI models.
The child depression inventory has a 2-factor structure in a non-clinical general population of adolescents in Nigeria. Future use of the CDI in related setting may consider the 2-factor model.</description><subject>Adequacy</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Biology and Life Sciences</subject><subject>Child</subject><subject>Child development</subject><subject>Childhood depression</subject><subject>Children</subject><subject>Children & youth</subject><subject>Confidence intervals</subject><subject>Demographic aspects</subject><subject>Demographics</subject><subject>Depression - epidemiology</subject><subject>Earth Sciences</subject><subject>Epidemiology</subject><subject>Factor analysis</subject><subject>Female</subject><subject>Health</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Male</subject><subject>Medical statistics</subject><subject>Medicine and Health Sciences</subject><subject>Mental depression</subject><subject>Modelling</subject><subject>Models, Statistical</subject><subject>Nigeria - epidemiology</subject><subject>Pain</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Population</subject><subject>Quantitative psychology</subject><subject>Questionnaires</subject><subject>Reliability analysis</subject><subject>Reliability aspects</subject><subject>Research and Analysis Methods</subject><subject>Research methodology</subject><subject>Social interactions</subject><subject>Social Sciences</subject><subject>Sociodemographics</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Studies</subject><subject>Teenagers</subject><subject>Urban areas</subject><subject>Young Adult</subject><subject>Youth</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk01v1DAQhiMEoqXwDxBYQkJw2MXxV-ILUrV8rVSoxNfVchw765U3DnZSsQf-O043rTaoB5RDrJnnfZ2ZzGTZ0xwuc1zkb7Z-CK10y863eglzjhnn97LTdEALhiC-f3Q-yR7FuIWQ4pKxh9kJ4hQhysrT7M9nX2vnbNuAfqOBkar3AcQ-DKofggbeXMdXG-tq8E53QcdofQvW7ZVuE7oHtgUSdL4bnOzHTFLIrpMhpd0ebLR0_WYPZO2djioF46j4YhsdrHycPTDSRf1kep9lPz68_776tLi4_LhenV8sFOOoXxQVNJTRqiKK54QaXGgESwWRVqRQTKIiZ5RVnFQcVUxiXCLDOFUsrwlkBcdn2fODb-d8FFPnokAwR5RDBnEi1gei9nIrumB3MuyFl1ZcB3xohAy9VU4LjssCylpWNdIEa1NxQwmFNYOqhgqZ5PV2um2odroeiw7SzUznmdZuROOvBC0JoQQmg1eTQfC_Bh17sbOpd87JVvvh8N0c5RTRhL74B727uolqZCrAtsane9VoKs4phgTjHKJELe-g0lPrnVVpzIxN8Zng9UyQmF7_7hs5xCjW377-P3v5c86-PGIPIxS9G8b5inOQHEAVfIxBm9sm51CMW3LTDTFuiZi2JMmeHf-gW9HNWuC_dM4NcQ</recordid><startdate>20180309</startdate><enddate>20180309</enddate><creator>Olorunju, Samson Bamidele</creator><creator>Akpa, Onoja Matthew</creator><creator>Afolabi, Rotimi Felix</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0558-5218</orcidid></search><sort><creationdate>20180309</creationdate><title>Modelling the factor structure of the Child Depression Inventory in a population of apparently healthy adolescents in Nigeria</title><author>Olorunju, Samson Bamidele ; Akpa, Onoja Matthew ; Afolabi, Rotimi Felix</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-7b0f565bb4c9145f37e208c02ec47c6a271656b94b92b6a3382f695c61d406793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adequacy</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Biology and Life Sciences</topic><topic>Child</topic><topic>Child development</topic><topic>Childhood depression</topic><topic>Children</topic><topic>Children & youth</topic><topic>Confidence intervals</topic><topic>Demographic aspects</topic><topic>Demographics</topic><topic>Depression - epidemiology</topic><topic>Earth Sciences</topic><topic>Epidemiology</topic><topic>Factor analysis</topic><topic>Female</topic><topic>Health</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Male</topic><topic>Medical statistics</topic><topic>Medicine and Health Sciences</topic><topic>Mental depression</topic><topic>Modelling</topic><topic>Models, Statistical</topic><topic>Nigeria - epidemiology</topic><topic>Pain</topic><topic>People and Places</topic><topic>Physical Sciences</topic><topic>Population</topic><topic>Quantitative psychology</topic><topic>Questionnaires</topic><topic>Reliability analysis</topic><topic>Reliability aspects</topic><topic>Research and Analysis Methods</topic><topic>Research methodology</topic><topic>Social interactions</topic><topic>Social Sciences</topic><topic>Sociodemographics</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Studies</topic><topic>Teenagers</topic><topic>Urban areas</topic><topic>Young Adult</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olorunju, Samson Bamidele</creatorcontrib><creatorcontrib>Akpa, Onoja Matthew</creatorcontrib><creatorcontrib>Afolabi, Rotimi Felix</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Olorunju, Samson Bamidele</au><au>Akpa, Onoja Matthew</au><au>Afolabi, Rotimi Felix</au><au>Scilingo, Enzo Pasquale</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling the factor structure of the Child Depression Inventory in a population of apparently healthy adolescents in Nigeria</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-03-09</date><risdate>2018</risdate><volume>13</volume><issue>3</issue><spage>e0193699</spage><epage>e0193699</epage><pages>e0193699-e0193699</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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<0.05), Minimum value of Discrepancy (CMIN/DF<3.0) and Akaike information criteria. All analyses were performed at 95% confidence level, using the version 21 of AMOS and the R software.
Participants were 14.7±2.1 years and mostly male (54.3%), from Monogamous homes (67.9%) and lived in urban areas (52.2%). The measure of the overall internal consistency of the 2-factor CDI was α = 0.84. The 2-factor model had the minimum RMSEA (0.044), CMIN/DF (2.87) and least AIC (1037.996) compared to the other five CDI models.
The child depression inventory has a 2-factor structure in a non-clinical general population of adolescents in Nigeria. Future use of the CDI in related setting may consider the 2-factor model.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29522568</pmid><doi>10.1371/journal.pone.0193699</doi><tpages>e0193699</tpages><orcidid>https://orcid.org/0000-0002-0558-5218</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2018-03, Vol.13 (3), p.e0193699-e0193699 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2012590603 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry |
| 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 |
| title | Modelling the factor structure of the Child Depression Inventory in a population of apparently healthy adolescents in Nigeria |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T13%3A18%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modelling%20the%20factor%20structure%20of%20the%20Child%20Depression%20Inventory%20in%20a%20population%20of%20apparently%20healthy%20adolescents%20in%20Nigeria&rft.jtitle=PloS%20one&rft.au=Olorunju,%20Samson%20Bamidele&rft.date=2018-03-09&rft.volume=13&rft.issue=3&rft.spage=e0193699&rft.epage=e0193699&rft.pages=e0193699-e0193699&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0193699&rft_dat=%3Cgale_plos_%3EA530433102%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2012590603&rft_id=info:pmid/29522568&rft_galeid=A530433102&rft_doaj_id=oai_doaj_org_article_93870adabd2e43efb9f5450d60cd0c2f&rfr_iscdi=true |