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Determinants of non- response to a second assessment of lifestyle factors and body weight in the EPIC-PANACEA study May, Anne M. Adema, Lotte E. Romaguera, Dora Vergnaud, Anne-Claire Agudo, Antonio Ekelund, Ulf Steffen, Annika Orfanos, Philippos Slimani, Nadia Rinaldi, Sabina Mouw, Traci Rohrmann, Sabine Hermann, Silke Boeing, Heiner Bergmann, Manuela M. Jakobsen, Marianne Uhre Overvad, Kim Wareham, Nicholas J. González, Carlos Alberto Tjønneland, Anne Halkjær, Jytte Key, Timothy J. Spencer, Elizabeth A. Hellstrom, Veronica Manjer, Jonas Hedblad, Bo Lund, Eiliv Braaten, Tonje Clavel-Chapelon, Françoise Boutron-Ruault, Marie-Christine Rodríguez, Laudina Sánchez, María José Dorronsoro, Miren Barricarte, Aurelio Huerta Castaño, José María Naska, Androniki Trichopoulou, Antonia Palli, Domenico Pala, Valeria Norat, Teresa Mattiello, Amalia Tumino, Rosario A, Daphne van der (Daphne Larissa), 1976- Bueno de Mesquita, H. Bas Riboli, Elio Peeters, Petra H. M. Pes corporal Estils de vida Body weight Lifestyles Background: This paper discusses whether baseline demographic, socio-economic, health variables, length of follow-up and method of contacting the participants predict non-response to the invitation for a second assessment of lifestyle factors and body weight in the European multi-center EPIC-PANACEA study. Methods: Over 500.000 participants from several centers in ten European countries recruited between 1992 and 2000 were contacted 2-11 years later to update data on lifestyle and body weight. Length of follow-up as well as the method of approaching differed between the collaborating study centers. Non-responders were compared with responders using multivariate logistic regression analyses. Results: Overall response for the second assessment was high (81.6%). Compared to postal surveys, centers where the participants completed the questionnaire by phone attained a higher response. Response was also high in centers with a short follow-up period. Non-response was higher in participants who were male (odds ratio 1.09 (confidence interval 1.07; 1.11), aged under 40 years (1.96 (1.90; 2.02), living alone (1.40 (1.37; 1.43), less educated (1.35 (1.12; 1.19), of poorer health (1.33 (1.27; 1.39), reporting an unhealthy lifestyle and who had either a low (<18.5 kg/m2, 1.16 (1.09; 1.23)) or a high BMI (>25, 1.08 (1.06; 1.10); especially >= 30 kg/m2, 1.26 (1.23; 1.29)). Conclusions: Cohort studies may enhance cohort maintenance by paying particular attention to the subgroups that are most unlikely to respond and by an active recruitment strategy using telephone interviews. 2018-11-27T12:48:15Z 2018-11-27T12:48:15Z 2012-09-24 2018-07-24T12:53:22Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://hdl.handle.net/2445/126501 23006680 eng Reproducció del document publicat a: https://doi.org/10.1186/1471-2288-12-148 BMC Medical Research Methodology, 2012, vol. 12, num. 148 https://doi.org/10.1186/1471-2288-12-148 cc by (c) May et al., 2012 http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess 9 p. application/pdf BioMed Central Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))