Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD Study
| Autor(a) principal: | |
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| Data de Publicação: | 2008 |
| Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
| Texto Completo: | http://hdl.handle.net/10362/142131 |
Resumo: | Funding: The research in Europe was funded by a grant from the European Commission, reference PREDICT-QL4-CT2002-00683. Funding in Chile was provided by project FONDEF DO2I-1140. Partial support in Europe was from the Estonian Scientific Foundation (grant 5696), the Slovenian Ministry for Research (grant 4369-1027), the Spanish Ministry of Health (grant field-initiated studies program references PI041980, PI041771, and PI042450), the Spanish Network of Primary Care Research (redIAPP) (ISCIII-RETIC RD06/ 0018), and SAMSERAP group. The UK National Health Service Research and Development office provided service support costs in the United Kingdom. |
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Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD StudyDIFFERENT CULTURESPREVALENCEINTERVIEWHEALTHINDEXOLD AGE.POPULATION-BASED COHORTGOSPEL OAK PROJECTPRIMARY-CARECOMMON MENTAL-DISORDERSCOMMON MENTAL-DISORDERSPOPULATION-BASED COHORTGOSPEL OAK PROJECTPRIMARY-CAREDIFFERENT CULTURESOLD AGEHEALTHINTERVIEWPREVALENCEINDEXSDG 3 - Good Health and Well-beingFunding: The research in Europe was funded by a grant from the European Commission, reference PREDICT-QL4-CT2002-00683. Funding in Chile was provided by project FONDEF DO2I-1140. Partial support in Europe was from the Estonian Scientific Foundation (grant 5696), the Slovenian Ministry for Research (grant 4369-1027), the Spanish Ministry of Health (grant field-initiated studies program references PI041980, PI041771, and PI042450), the Spanish Network of Primary Care Research (redIAPP) (ISCIII-RETIC RD06/ 0018), and SAMSERAP group. The UK National Health Service Research and Development office provided service support costs in the United Kingdom.Context: Strategies for prevention of depression are hindered by lack of evidence about the combined predictive effect of known risk factors. Objectives: To develop a risk algorithm for onset of major depression. Design: Cohort of adult general practice attendees followed up at 6 and 12 months. We measured 39 known risk factors to construct a risk model for onset of major depression using stepwise logistic regression. We corrected the model for overfitting and tested it in an external population. Setting: General practices in 6 European countries and in Chile. Participants: In Europe and Chile, 10 045 attendees were recruited April 2003 to February 2005. The algorithm was developed in 5216 European attendees who were not depressed at recruitment and had follow-up data on depression status. It was tested in 1732 patients in Chile who were not depressed at recruitment. Main Outcome Measure: DSM-IV major depression. Results: Sixty-six percent of people approached participated, of whom 89.5% participated again at 6 months and 85.9%, at 12 months. Nine of the 10 factors in the risk algorithm were age, sex, educational level achieved, results of lifetime screen for depression, family history of psychological difficulties, physical health and mental health subscale scores on the Short Form 12, unsupported difficulties in paid or unpaid work, and experiences of discrimination. Country was the tenth factor. The algorithm's average C index across countries was 0.790 ( 95% confidence interval [ CI], 0.767-0.813). Effect size for difference in predicted log odds of depression between European attendees who became depressed and those who did not was 1.28 ( 95% CI, 1.17-1.40). Application of the algorithm in Chilean attendees resulted in a C index of 0.710 ( 95% CI, 0.670-0.749). Conclusion: This first risk algorithm for onset of major depression functions as well as similar risk algorithms for cardiovascular events and may be useful in prevention of depression.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNKing, MichaelWalker, CarlLevy, GusBottomley, ChristianRoyston, PatrickWeich, ScottBellon-Saameno, Juan AngelMoreno, BertaSvab, IgorRotar, DanicaRifel, JMaaroos, Heidi-IngridAluoja, AnuKalda, RuthNeeleman, JanGeerlings, Mirjam IXavier, MiguelCarraça, IdalmiroGonçalves-Pereira, MVicente, BenjaminSaldivia, SandraMelipillan, RobertoTorres-Gonzalez, FranciscoNazareth, Irwin2022-07-23T00:31:24Z2008-122008-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9application/pdfhttp://hdl.handle.net/10362/142131eng0003-990XPURE: 423857https://doi.org/10.1001/archpsyc.65.12.1368info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:19:33Zoai:run.unl.pt:10362/142131Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:09.662366Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
| dc.title.none.fl_str_mv |
Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD Study |
| title |
Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD Study |
| spellingShingle |
Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD Study King, Michael DIFFERENT CULTURES PREVALENCE INTERVIEW HEALTH INDEX OLD AGE. POPULATION-BASED COHORT GOSPEL OAK PROJECT PRIMARY-CARE COMMON MENTAL-DISORDERS COMMON MENTAL-DISORDERS POPULATION-BASED COHORT GOSPEL OAK PROJECT PRIMARY-CARE DIFFERENT CULTURES OLD AGE HEALTH INTERVIEW PREVALENCE INDEX SDG 3 - Good Health and Well-being |
| title_short |
Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD Study |
| title_full |
Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD Study |
| title_fullStr |
Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD Study |
| title_full_unstemmed |
Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD Study |
| title_sort |
Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees The PredictD Study |
| author |
King, Michael |
| author_facet |
King, Michael Walker, Carl Levy, Gus Bottomley, Christian Royston, Patrick Weich, Scott Bellon-Saameno, Juan Angel Moreno, Berta Svab, Igor Rotar, Danica Rifel, J Maaroos, Heidi-Ingrid Aluoja, Anu Kalda, Ruth Neeleman, Jan Geerlings, Mirjam I Xavier, Miguel Carraça, Idalmiro Gonçalves-Pereira, M Vicente, Benjamin Saldivia, Sandra Melipillan, Roberto Torres-Gonzalez, Francisco Nazareth, Irwin |
| author_role |
author |
| author2 |
Walker, Carl Levy, Gus Bottomley, Christian Royston, Patrick Weich, Scott Bellon-Saameno, Juan Angel Moreno, Berta Svab, Igor Rotar, Danica Rifel, J Maaroos, Heidi-Ingrid Aluoja, Anu Kalda, Ruth Neeleman, Jan Geerlings, Mirjam I Xavier, Miguel Carraça, Idalmiro Gonçalves-Pereira, M Vicente, Benjamin Saldivia, Sandra Melipillan, Roberto Torres-Gonzalez, Francisco Nazareth, Irwin |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) RUN |
| dc.contributor.author.fl_str_mv |
King, Michael Walker, Carl Levy, Gus Bottomley, Christian Royston, Patrick Weich, Scott Bellon-Saameno, Juan Angel Moreno, Berta Svab, Igor Rotar, Danica Rifel, J Maaroos, Heidi-Ingrid Aluoja, Anu Kalda, Ruth Neeleman, Jan Geerlings, Mirjam I Xavier, Miguel Carraça, Idalmiro Gonçalves-Pereira, M Vicente, Benjamin Saldivia, Sandra Melipillan, Roberto Torres-Gonzalez, Francisco Nazareth, Irwin |
| dc.subject.por.fl_str_mv |
DIFFERENT CULTURES PREVALENCE INTERVIEW HEALTH INDEX OLD AGE. POPULATION-BASED COHORT GOSPEL OAK PROJECT PRIMARY-CARE COMMON MENTAL-DISORDERS COMMON MENTAL-DISORDERS POPULATION-BASED COHORT GOSPEL OAK PROJECT PRIMARY-CARE DIFFERENT CULTURES OLD AGE HEALTH INTERVIEW PREVALENCE INDEX SDG 3 - Good Health and Well-being |
| topic |
DIFFERENT CULTURES PREVALENCE INTERVIEW HEALTH INDEX OLD AGE. POPULATION-BASED COHORT GOSPEL OAK PROJECT PRIMARY-CARE COMMON MENTAL-DISORDERS COMMON MENTAL-DISORDERS POPULATION-BASED COHORT GOSPEL OAK PROJECT PRIMARY-CARE DIFFERENT CULTURES OLD AGE HEALTH INTERVIEW PREVALENCE INDEX SDG 3 - Good Health and Well-being |
| description |
Funding: The research in Europe was funded by a grant from the European Commission, reference PREDICT-QL4-CT2002-00683. Funding in Chile was provided by project FONDEF DO2I-1140. Partial support in Europe was from the Estonian Scientific Foundation (grant 5696), the Slovenian Ministry for Research (grant 4369-1027), the Spanish Ministry of Health (grant field-initiated studies program references PI041980, PI041771, and PI042450), the Spanish Network of Primary Care Research (redIAPP) (ISCIII-RETIC RD06/ 0018), and SAMSERAP group. The UK National Health Service Research and Development office provided service support costs in the United Kingdom. |
| publishDate |
2008 |
| dc.date.none.fl_str_mv |
2008-12 2008-12-01T00:00:00Z 2022-07-23T00:31:24Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/142131 |
| url |
http://hdl.handle.net/10362/142131 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
0003-990X PURE: 423857 https://doi.org/10.1001/archpsyc.65.12.1368 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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9 application/pdf |
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