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- Michelle C. Turner
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
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- Esther Gracia-Lavedan
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
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- Franco Momoli
- Ottawa Hospital Research Institute, Ottawa, Canada
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- Chelsea E. Langer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
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- Gemma Castaño-Vinyals
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
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- Michael Kundi
- Institute of Environmental Health, Medical University of Vienna, Vienna, Austria
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- Milena Maule
- Unit of Cancer Epidemiology, Department of Medical Sciences, University of Turin, Turin, Italy
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- Franco Merletti
- Unit of Cancer Epidemiology, Department of Medical Sciences, University of Turin, Turin, Italy
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- Siegal Sadetzki
- Cancer & Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Ramat Gan, Israel
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- Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
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- Alex Albert
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
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- Juan Alguacil
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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- Nuria Aragones
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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- Francesc Badia
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
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- Revital Bruchim
- Cancer & Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Ramat Gan, Israel
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- Gema Carretero
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
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- Noriko Kojimahara
- Department of Public Health, Tokyo Women’s Medical University, Tokyo, Japan
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- Brigitte Lacour
- French National Registry of Childhood Solid Tumors, CHU, Nancy, France
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- Maria Morales-Suarez-Varela
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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- Katja Radon
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
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- Thomas Remen
- French National Registry of Childhood Solid Tumors, CHU, Nancy, France
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- Tobias Weinmann
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
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- Naohito Yamaguchi
- Department of Public Health, Tokyo Women’s Medical University, Tokyo, Japan
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- Elisabeth Cardis
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
抄録
<jats:sec> <jats:title>Background:</jats:title> <jats:p>MOBI-Kids is a 14-country case–control study designed to investigate the potential effects of electromagnetic field exposure from mobile telecommunications devices on brain tumor risk in children and young adults conducted from 2010 to 2016. This work describes differences in cellular telephone use and personal characteristics among interviewed participants and refusers responding to a brief nonrespondent questionnaire. It also assesses the potential impact of nonparticipation selection bias on study findings.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods:</jats:title> <jats:p>We compared nonrespondent questionnaires completed by 77 cases and 498 control refusers with responses from 683 interviewed cases and 1501 controls (suspected appendicitis patients) in six countries (France, Germany, Israel, Italy, Japan, and Spain). We derived selection bias factors and estimated inverse probability of selection weights for use in analysis of MOBI-Kids data.</jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> <jats:p>The prevalence of ever-regular use was somewhat higher among interviewed participants than nonrespondent questionnaire respondents 10–14 years of age (68% vs. 62% controls, 63% vs. 48% cases); in those 20–24 years, the prevalence was ≥97%. Interviewed controls and cases in the 15- to 19- and 20- to 24-year-old age groups were more likely to have a time since start of use of 5+ years. Selection bias factors generally indicated a small underestimation in cellular telephone odds ratios (ORs) ranging from 0.96 to 0.97 for ever-regular use and 0.92 to 0.94 for time since start of use (5+ years), but varied in alternative hypothetical scenarios considered.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions:</jats:title> <jats:p>Although limited by small numbers of nonrespondent questionnaire respondents, findings generally indicated a small underestimation in cellular telephone ORs due to selective nonparticipation.</jats:p> </jats:sec>
収録刊行物
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- Epidemiology
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Epidemiology 30 (1), 145-153, 2019-01
Ovid Technologies (Wolters Kluwer Health)