PURPOSE: To examine how response at follow-up varied from baseline sociodemographic data in a Spanish population-based cohort after 8 years of follow-up. METHODS: The Cornella Health Interview Survey Follow-up (CHIS.FU) Study is a population-based cohort study on lifestyle risk factors and their consequences on health status with 2500 participants at baseline. We have compared the distribution of baseline characteristics according to the results at follow-up (interview, decease, migration, or refusal). RESULTS: Almost two-thirds of the subjects who did not respond to the follow-up interview had died or moved to another town. Sex was a determinant of attrition in deceased and non-traced participants. Refusal appeared to be associated with working status and place of birth. Self-perceived health was one of the characteristics associated with mortality; subjects who perceived their health as poor were 2.6 times more likely to die than those who felt they were in good health. Disabled and retired subjects together with housewives showed a higher risk of dying than individuals still working. The determinants of attrition among emigrated subjects were civil status, age, level of studies, working status, and birth place. CONCLUSION: Although the attrition was non-random, there was no serious bias in estimates of change and in determinants of change due to attrition.
PURPOSE: To examine how response at follow-up varied from baseline sociodemographic data in a Spanish population-based cohort after 8 years of follow-up. METHODS: The Cornella Health Interview Survey Follow-up (CHIS.FU) Study is a population-based cohort study on lifestyle risk factors and their consequences on health status with 2500 participants at baseline. We have compared the distribution of baseline characteristics according to the results at follow-up (interview, decease, migration, or refusal). RESULTS: Almost two-thirds of the subjects who did not respond to the follow-up interview had died or moved to another town. Sex was a determinant of attrition in deceased and non-traced participants. Refusal appeared to be associated with working status and place of birth. Self-perceived health was one of the characteristics associated with mortality; subjects who perceived their health as poor were 2.6 times more likely to die than those who felt they were in good health. Disabled and retired subjects together with housewives showed a higher risk of dying than individuals still working. The determinants of attrition among emigrated subjects were civil status, age, level of studies, working status, and birth place. CONCLUSION: Although the attrition was non-random, there was no serious bias in estimates of change and in determinants of change due to attrition.
Authors: Alvaro Alonso; María Seguí-Gómez; Jokin de Irala; Almudena Sánchez-Villegas; Juan José Beunza; Miguel Angel Martínez-Gonzalez Journal: Eur J Epidemiol Date: 2006-05-31 Impact factor: 8.082
Authors: Jane E Ferrie; Mika Kivimäki; Archana Singh-Manoux; Alison Shortt; Pekka Martikainen; Jenny Head; Michael Marmot; David Gimeno; Roberto De Vogli; Marko Elovainio; Martin J Shipley Journal: Int J Epidemiol Date: 2009-03-05 Impact factor: 7.196
Authors: Anne M May; Lotte E Adema; Dora Romaguera; Anne-Claire Vergnaud; Antonio Agudo; Ulf Ekelund; Annika Steffen; Philippos Orfanos; Nadia Slimani; Sabina Rinaldi; Traci Mouw; Sabine Rohrmann; Silke Hermann; Heiner Boeing; Manuela M Bergmann; Marianne Uhre Jakobsen; Kim Overvad; Nicholas J Wareham; Carlos Gonzalez; Anne Tjonneland; Jytte Halkjaer; Timothy J Key; Elizabeth A Spencer; Veronica Hellstrom; Jonas Manjer; Bo Hedblad; Eiliv Lund; Tonje Braaten; Françoise Clavel-Chapelon; Marie-Christine Boutron-Ruault; Laudina Rodríguez; Maria J Sánchez; Miren Dorronsoro; Aurelio Barricarte; Jose Maria Huerta; Androniki Naska; Antonia Trichopoulou; Domenico Palli; Valeria Pala; Teresa Norat; Amalia Mattiello; Rosario Tumino; Daphne van der A; H Bas Bueno-de-Mesquita; Elio Riboli; Petra H M Peeters Journal: BMC Med Res Methodol Date: 2012-09-24 Impact factor: 4.615