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.
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.
Authors: Juan Ángel Bellón; Juan de Dios Luna; Michael King; Irwin Nazareth; Emma Motrico; María Josefa GildeGómez-Barragán; Francisco Torres-González; Carmen Montón-Franco; Marta Sánchez-Celaya; Miguel Ángel Díaz-Barreiros; Catalina Vicens; Patricia Moreno-Peral Journal: Br J Gen Pract Date: 2017-04 Impact factor: 5.386
Authors: Dennis Zethof; Gera E Nagelhout; Mark de Rooij; Pete Driezen; Geoffrey T Fong; Bas van den Putte; Karin Hummel; Hein de Vries; Mary E Thompson; Marc C Willemsen Journal: Eur J Public Health Date: 2016-04-09 Impact factor: 3.367
Authors: Jonathan P Stange; Lisanne M Jenkins; Katie L Bessette; Leah R Kling; John S Bark; Robert Shepard; Elissa J Hamlat; Sophie DelDonno; K Luan Phan; Alessandra M Passarotti; Olusola Ajilore; Scott A Langenecker Journal: Brain Connect Date: 2018-11
Authors: Blanca Gutiérrez; Juan Á Bellón; Margarita Rivera; Esther Molina; Michael King; Louise Marston; Francisco Torres-González; Berta Moreno-Küstner; Patricia Moreno-Peral; Emma Motrico; Carmen Montón-Franco; María J GildeGómez-Barragán; Marta Sánchez-Celaya; Miguel Á Díaz-Barreiros; Catalina Vicens; Juan de Dios Luna; Irwin Nazareth; Jorge Cervilla Journal: J Psychiatry Neurosci Date: 2015-05 Impact factor: 6.186
Authors: Patricia Moreno-Peral; Juan de Dios Luna; Louise Marston; Michael King; Irwin Nazareth; Emma Motrico; María Josefa GildeGómez-Barragán; Francisco Torres-González; Carmen Montón-Franco; Marta Sánchez-Celaya; Miguel Ángel Díaz-Barreiros; Catalina Vicens; Carlos Muñoz-Bravo; Juan Ángel Bellón Journal: PLoS One Date: 2014-09-03 Impact factor: 3.240
Authors: Berta Moreno-Küstner; Rebeca Jones; Igor Švab; Heidi Maaroos; Miguel Xavier; Mirjam Geerlings; Francisco Torres-González; Irwin Nazareth; Emma Motrico-Martínez; Carmen Montón-Franco; María José Gil-de-Gómez; Marta Sánchez-Celaya; Miguel Ángel Díaz-Barreiros; Catalina Vicens-Caldentey; Michael King Journal: BMC Psychiatry Date: 2016-04-06 Impact factor: 3.630
Authors: Juan Ángel Bellón; Sonia Conejo-Cerón; Patricia Moreno-Peral; Michael King; Irwin Nazareth; Carlos Martín-Pérez; Carmen Fernández-Alonso; María Isabel Ballesta-Rodríguez; Anna Fernández; José María Aiarzaguena; Carmen Montón-Franco; Inmaculada Ibanez-Casas; Emiliano Rodríguez-Sánchez; Antonina Rodríguez-Bayón; Antoni Serrano-Blanco; María Cruz Gómez; Pilar LaFuente; María Del Mar Muñoz-García; Pilar Mínguez-Gonzalo; Luz Araujo; Diego Palao; Maite Espinosa-Cifuentes; Fernando Zubiaga; Desirée Navas-Campaña; Juan Mendive; Jose Manuel Aranda-Regules; Alberto Rodriguez-Morejón; Luis Salvador-Carulla; Juan de Dios Luna Journal: BMC Psychiatry Date: 2013-06-19 Impact factor: 3.630