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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/32817

Title: Predicting the onset and persistence of episodes of depression in primary health care. The predictD-Spain study: Methodology
Authors: Bellón Saameño, Juan Ángel
Moreno-Küstner, Berta
Torres González, Francisco
Montón-Franco, Carmen
Gilde Gómez-Barragán, María Josefa
Sánchez-Celaya, Marta
Díaz-Barreiros, Miguel Ángel
Vicens, Catalina
Luna del Castillo, Juan de Dios
Cervilla Ballesteros, Jorge A.
Gutiérrez Martínez, Blanca
Martínez-Cañavate López-Montes, Teresa
Oliván-Blázquez, Bárbara
Vázquez-Medrano, Ana
Sánchez-Artiaga, María Soledad
March, Sebastia
Motrico, Emma
Ruiz-García, Víctor Manuel
Brangier-Wainberg, Paulette
Muñoz-García, María del Mar
Nazareth, Irwin
King, Michael
PredictD Group
Issue Date: 2008
Abstract: Background: The effects of putative risk factors on the onset and/or persistence of depression remain unclear. We aim to develop comprehensive models to predict the onset and persistence of episodes of depression in primary care. Here we explain the general methodology of the predictD-Spain study and evaluate the reliability of the questionnaires used. Methods: This is a prospective cohort study. A systematic random sample of general practice attendees aged 18 to 75 has been recruited in seven Spanish provinces. Depression is being measured with the CIDI at baseline, and at 6, 12, 24 and 36 months. A set of individual, environmental, genetic, professional and organizational risk factors are to be assessed at each follow-up point. In a separate reliability study, a proportional random sample of 401 participants completed the test-retest (251 researcher-administered and 150 self-administered) between October 2005 and February 2006. We have also checked 118,398 items for data entry from a random sample of 480 patients stratified by province. Results: All items and questionnaires had good test-retest reliability for both methods of administration, except for the use of recreational drugs over the previous six months. Cronbach's alphas were good and their factorial analyses coherent for the three scales evaluated (social support from family and friends, dissatisfaction with paid work, and dissatisfaction with unpaid work). There were 191 (0.16%) data entry errors. Conclusion: The items and questionnaires were reliable and data quality control was excellent. When we eventually obtain our risk index for the onset and persistence of depression, we will be able to determine the individual risk of each patient evaluated in primary health care.
Sponsorship: The research in Spain was funded by grants from the Spanish Ministry of Health (grant FIS references: PI04/1980, PI0/41771, PI04/2450, and PI06/1442), Andalusian Council of Health (grant references: 05/403, 06/278 and 08/0194), and the Spanish Ministry of Education and Science (grant reference SAF 2006/07192). The Malaga sample, as part of the predictD-International study, was also funded by a grant from The European Commission (reference QL4-CT2002-00683).
Publisher: Biomed Central
Keywords: Common mental disorders
Population based cohort
Major depression
Risk factors
Life events
Psychiatric disorder
Generalized anxiety
Different cultures
Physical health
Social support
URI: http://hdl.handle.net/10481/32817
ISSN: 1471-2458
Citation: Bellón, J.A.; et al. Predicting the onset and persistence of episodes of depression in primary health care. The predictD-Spain study: Methodology. BMC Public Health, 8: 256 (2008). [http://hdl.handle.net/10481/32817]
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