María Del Mar Muñoz-García

Publications (2)5.04 Total impact

• Article: Psychosocial and sociodemographic predictors of attrition in a longitudinal study of major depression in primary care: the predictD-Spain study.

  Juan Angel Bellón, Juan de Dios Luna, Berta Moreno, Carmen Montón-Franco, María Josefa GildeGómez-Barragán, Marta Sánchez-Celaya, Miguel Angel Díaz-Barreiros, Catalina Vicens, Emma Motrico, María Teresa Martínez-Cañavate, Bárbara Oliván-Blázquez, Ana Vázquez-Medrano, María Soledad Sánchez-Artiaga, Sebastiá March, María del Mar Muñoz-García, Patricia Moreno-Peral, Irwin Nazareth, Michael King, Francisco Torres-González
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  ABSTRACT: 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. 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. 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. 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.
  Journal of epidemiology and community health 09/2009; 64(10):874-84. · 3.04 Impact Factor
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  Available from: Juan Luna

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

  Juan Angel Bellón, Berta Moreno-Küstner, Francisco Torres-González, Carmen Montón-Franco, María Josefa GildeGómez-Barragán, Marta Sánchez-Celaya, Miguel Angel Díaz-Barreiros, Catalina Vicens, Juan de Dios Luna, Jorge A Cervilla, [......], Bárbara Oliván-Blázquez, Ana Vázquez-Medrano, María Soledad Sánchez-Artiaga, Sebastia March, Emma Motrico, Victor Manuel Ruiz-García, Paulette Renée Brangier-Wainberg, María Del Mar Muñoz-García, Irwin Nazareth, Michael King
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  ABSTRACT: 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. 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. 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. 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.
  BMC Public Health 01/2008; 8:256. · 2.00 Impact Factor