Determinants of non- response to a second assessment of lifestyle factors and body weight in the EPIC-PANACEA study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-09-24

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 HM Peeters

ABSTRACT

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. More... »

PAGES

148-148

Journal

TITLE

BMC Medical Research Methodology

ISSUE

1

VOLUME

12

Author Affiliations

  • National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
  • Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, PO Box 85500, 3508, GA, Utrecht, The Netherlands
  • Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
  • Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology, IDIBELL, Barcelona, Spain
  • Medical Research Council, Epidemiology Unit, Cambridge, United Kingdom
  • German Institute of Human Nutrition Potsdam-Rehbrücke, Heidelberg, Germany
  • Hellenic Health Foundation, Athens, Greece AND Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, Athens, Greece
  • International Agency for Research on Cancer (IARC-WHO), Lyon, France
  • Division of Clinical Epidemiology, German Cancer Research Center, Heidelberg, Germany
  • Department of Epidemiology, School of Public Health, Aarhus University, Aarhus, Denmark
  • Department of Cardiology, Aalborg Hospital, Aarhus University Hospital, Aalborg, Denmark
  • Danish Cancer Society, Institute of Cancer Epidemiology, Copenhagen, Denmark
  • Cancer Research UK Epidemiology Unit, University of Oxford, Oxford, United Kingdom
  • Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
  • Department of Surgery, Malmø University Hospital, Lund University, Malmø, Sweden
  • Department of Clinical Science, Malmø University Hospital, Lund University, Malmø, Sweden
  • Institute of Community Medicine, University of Tromsø, Tromsø, Norway
  • Institut Gustave Roussy, Villejuif, France
  • Public Health and Participation Directorate, Health and Health Care Services Council, Asturias, Spain
  • Andalusian School of Public Health, Granada, and CIBER de Epidemiology and Public Health (CIBERESP), Granada, Spain
  • Public Health Department of Gipuzkoa, San Sebastian, Spain
  • Public Health Institute of Navarra, Pamplona, Spain
  • Epidemiology Department, Council of Health and Consumer Affairs, Murcia& CIBER Epidemiología y Salud Pública (CIBERESP), Murcia, Spain
  • Molecular and Nutritional Epidemiology Unit, ISPO-Cancer Research and Prevention Institute, Florence, Italy
  • Nutritional Epidemiology Unit, IRCCS Foundation, National Cancer Institute, Milan, Italy
  • Dipartimento di Medicina Clinica e Sperimentale, Università di Napoli, Naples, Italy
  • Cancer Registry, Azienda Ospedaliera "Civile M.P.Arezzo", Ragusa, Italy
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2288-12-148

    DOI

    http://dx.doi.org/10.1186/1471-2288-12-148

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1052022094

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23006680


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