Literature DB >> 18493271

Recall bias in the assessment of exposure to mobile phones.

Martine Vrijheid1, Bruce K Armstrong, Daniel Bédard, Julianne Brown, Isabelle Deltour, Ivano Iavarone, Daniel Krewski, Susanna Lagorio, Stephen Moore, Lesley Richardson, Graham G Giles, Mary McBride, Marie-Elise Parent, Jack Siemiatycki, Elisabeth Cardis.   

Abstract

Most studies of mobile phone use are case-control studies that rely on participants' reports of past phone use for their exposure assessment. Differential errors in recalled phone use are a major concern in such studies. INTERPHONE, a multinational case-control study of brain tumour risk and mobile phone use, included validation studies to quantify such errors and evaluate the potential for recall bias. Mobile phone records of 212 cases and 296 controls were collected from network operators in three INTERPHONE countries over an average of 2 years, and compared with mobile phone use reported at interview. The ratio of reported to recorded phone use was analysed as measure of agreement. Mean ratios were virtually the same for cases and controls: both underestimated number of calls by a factor of 0.81 and overestimated call duration by a factor of 1.4. For cases, but not controls, ratios increased with increasing time before the interview; however, these trends were based on few subjects with long-term data. Ratios increased by level of use. Random recall errors were large. In conclusion, there was little evidence for differential recall errors overall or in recent time periods. However, apparent overestimation by cases in more distant time periods could cause positive bias in estimates of disease risk associated with mobile phone use.

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Year:  2008        PMID: 18493271     DOI: 10.1038/jes.2008.27

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  30 in total

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Authors:  Klaus Schlaefer; Brigitte Schlehofer; Joachim Schüz
Journal:  Eur J Epidemiol       Date:  2009-06-19       Impact factor: 8.082

2.  Validation of self-reported start year of mobile phone use in a Swedish case-control study on radiofrequency fields and acoustic neuroma risk.

Authors:  David Pettersson; Matteo Bottai; Tiit Mathiesen; Michaela Prochazka; Maria Feychting
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-11-05       Impact factor: 5.563

3.  Response to "the epidemiology of glioma in adults: a 'state of the science' review".

Authors:  Quinn T Ostrom; Luc Bauchet; Faith G Davis; Isabelle Deltour; James L Fisher; Chelsea Eastman Langer; Melike Pekmezci; Judith A Schwartzbaum; Michelle C Turner; Kyle M Walsh; Margaret R Wrensch; Jill S Barnholtz-Sloan
Journal:  Neuro Oncol       Date:  2015-04       Impact factor: 12.300

4.  Update on the effect of exogenous hormone use on glioma risk in women: a meta-analysis of case-control and cohort studies.

Authors:  Yu-Long Lan; Xun Wang; Jia-Cheng Lou; Bin-Bin Ma; Jin-Shan Xing; Shuang Zou; Bo Zhang
Journal:  J Neurooncol       Date:  2017-12-26       Impact factor: 4.130

5.  Recall accuracy of mobile phone calls among Japanese young people.

Authors:  Kosuke Kiyohara; Kanako Wake; Soichi Watanabe; Takuji Arima; Yasuto Sato; Noriko Kojimahara; Masao Taki; Naohito Yamaguchi
Journal:  J Expo Sci Environ Epidemiol       Date:  2015-03-18       Impact factor: 5.563

6.  Long-term recall accuracy for mobile phone calls in young Japanese people: A follow-up validation study using software-modified phones.

Authors:  Kosuke Kiyohara; Kanako Wake; Soichi Watanabe; Takuji Arima; Yasuto Sato; Noriko Kojimahara; Masao Taki; Elisabeth Cardis; Naohito Yamaguchi
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-12-21       Impact factor: 5.563

7.  Probabilistic Multiple-Bias Modeling Applied to the Canadian Data From the Interphone Study of Mobile Phone Use and Risk of Glioma, Meningioma, Acoustic Neuroma, and Parotid Gland Tumors.

Authors:  F Momoli; J Siemiatycki; M L McBride; M-É Parent; L Richardson; D Bedard; R Platt; M Vrijheid; E Cardis; D Krewski
Journal:  Am J Epidemiol       Date:  2017-10-01       Impact factor: 4.897

8.  Cell phone use and risk of thyroid cancer: a population-based case-control study in Connecticut.

Authors:  Jiajun Luo; Nicole C Deziel; Huang Huang; Yingtai Chen; Xin Ni; Shuangge Ma; Robert Udelsman; Yawei Zhang
Journal:  Ann Epidemiol       Date:  2018-10-29       Impact factor: 3.797

9.  Conduct of a personal radiofrequency electromagnetic field measurement study: proposed study protocol.

Authors:  Martin Röösli; Patrizia Frei; John Bolte; Georg Neubauer; Elisabeth Cardis; Maria Feychting; Peter Gajsek; Sabine Heinrich; Wout Joseph; Simon Mann; Luc Martens; Evelyn Mohler; Roger C Parslow; Aslak Harbo Poulsen; Katja Radon; Joachim Schüz; György Thuroczy; Jean-François Viel; Martine Vrijheid
Journal:  Environ Health       Date:  2010-05-20       Impact factor: 5.984

10.  A case-control study of risk of leukaemia in relation to mobile phone use.

Authors:  R Cooke; S Laing; A J Swerdlow
Journal:  Br J Cancer       Date:  2010-10-12       Impact factor: 7.640

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