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oai:riuma.uma.es:10630/344482026-02-03T10:54:03Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga author Bellón-Saameño, Juan Ángel author Luna-del-Castillo, Juan de Dios author Moreno-Kustner, Berta author Montón-Franco, Carmen author Gil-de-Gómez-Barragán, María Josefa author Sánchez-Celaya, Marta author Díaz-Barreiros, Miguel Ángel author Vicens-Caldentey, Catalina author Motrico, Emma author Martínez-Cañavate, María Teresa author Oliván-Blázquez, Bárbara author Vázquez-Medrano, Ana author Sánchez-Artiaga, María Soledad author March, Sebastiá author Muñoz-García, María del Mar author Moreno-Peral, Patricia author Nazareth, Irwin author King, Michael author Torres-González, Francisco 2024-10-07T11:44:02Z 2024-10-07T11:44:02Z 2009 Bellón JA, de Dios Luna J, Moreno B, Montón-Franco C, GildeGómez-Barragán MJ, Sánchez-Celaya M, Díaz-Barreiros MA, Vicens C, Motrico E, Martínez-Cañavate MT, Oliván-Blázquez B, Vázquez-Medrano A, Sánchez-Artiaga MS, March S, del Mar Muñoz-García M, Moreno-Peral P, Nazareth I, King M, Torres-González F. Psychosocial and sociodemographic predictors of attrition in a longitudinal study of major depression in primary care: the predictD-Spain study. J Epidemiol Community Health. 2010 Oct;64(10):874-84. doi: 10.1136/jech.2008.085290. Epub 2009 Sep 16. PMID: 19759057. https://hdl.handle.net/10630/34448 10.1136/jech.2008.085290 Background: Few data exist on the psychosocial factors associated with attrition in longitudinal surveys. This study was undertaken to determine psychosocial and sociodemographic predictors of attrition from a longitudinal study of the onset and persistence of episodes of major depression in primary care. Methods: A systematic random sample of general practice attendees was recruited in seven Spanish provinces between October 2005 and February 2006. Major depression was diagnosed using the Composite International Diagnostic Interview and a set of 39 individual and environmental risk factors for depression were assessed at baseline and after 6 and 12 months of follow-up. Data were analysed using multilevel logistic regression. Results: 7777 primary care attendees aged 18-75 years were selected, of whom 1251 (16.1%) were excluded. Of the remaining 6526, 1084 (16.6%) refused to participate. Thus, 5442 patients (attending 231 family physicians in 41 health centres) were interviewed at baseline, of whom 3804 (70%) and 3567 (66%) remained at 6 and 12 months of follow-up, respectively. The province and sociodemographic factors were stronger predictors of attrition than psychosocial factors. Depression and anxiety had no effect but other psychosocial factors affected attrition. There were different profiles for the patients lost at 12 months when predictors measured at baseline versus 6 months were included. Conclusions: These findings suggest that several psychosocial factors might be considered factors of attrition in primary care cohorts and confirm that baseline characteristics are insufficient for analysing non-response in longitudinal studies, indicating that different retention strategies should be applied for patients interviewed at 6 and 12 months. eng Depresión mental Atención primaria Psychosocial and sociodemographic predictors of attrition in a longitudinal study of major depression in primary care: the predictD-Spain study journal article URL https://riuma.uma.es/bitstreams/c1b581b0-3558-4677-8c7e-31feba71468d/download File MD5 fd16a423726c82bdff2a0d4a604ead61 1045991 application/pdf Attrition.pdf