Predicting the onset and persistence of episodes of depression in primary health care. The predictD-Spain study: Methodology

Autor: 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
Jazyk: angličtina
Předmět:
Persistence (psychology)
Male
Episodes of depression
Population based cohort
humanos
adolescente
Effects of putative risk factors
estudios de seguimiento
Common mental disorders
Social support
Study Protocol
Recurrence
Risk Factors
estudios prospectivos
Surveys and Questionnaires
Epidemiology
evaluación de riesgos
Prevalence
Major depression
Prospective Studies
Prospective cohort study
Depression (differential diagnoses)
mediana edad
anciano
lcsh:Public aspects of medicine
prevalencia
adulto
Middle Aged
Female
Risk assessment
Adult
medicine.medical_specialty
Adolescent
Physical health
factores socioeconómicos
Risk Assessment
Life events
trastorno depresivo
medicine
factores de riesgo
Humans
Different cultures
Onset persistence of depression
Psychiatry
Aged
Depressive Disorder
Primary Health Care
business.industry
Public health
Public Health
Environmental and Occupational Health

Reproducibility of Results
lcsh:RA1-1270
Psychiatric disorder
Generalized anxiety
reproducibilidad de resultados
Socioeconomic Factors
Risk factors
Spain
Biostatistics
business
Factor Analysis
Statistical

recurrencia
Follow-Up Studies
Zdroj: Digibug. Repositorio Institucional de la Universidad de Granada
instname
BMC Public Health
BMC Public Health, Vol 8, Iss 1, p 256 (2008)
ISSN: 1471-2458
DOI: 10.1186/1471-2458-8-256
Popis: 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.
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).
Databáze: OpenAIRE