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Recall accuracy of mobile phone calls among Japanese young people

Abstract

This study aimed to elucidate the recall accuracy of mobile phone calls among young people using new software-modified phone (SMP) technology. A total of 198 Japanese students aged between 10 and 24 years were instructed to use a SMP for 1 month to record their actual call statuses. Ten to 12 months after this period, face-to-face interviews were conducted to obtain the self-reported call statuses during the monitoring period. Using the SMP record as the gold standard of validation, the recall accuracy of phone calls was evaluated. A total of 19% of the participants (34/177) misclassified their laterality (i.e., the dominant side of ear used while making calls), with the level of agreement being moderate (κ-statistics, 0.449). The level of agreement between the self-reports and SMP records was relatively good for the duration of calls (Pearson’s r, 0.620), as compared with the number of calls (Pearson’s r, 0.561). The recall was prone to small systematic and large random errors for both the number and duration of calls. Such a large random recall error for the amount of calls and misclassification of laterality suggest that the results of epidemiological studies of mobile phone use based on self-assessment should be interpreted cautiously.

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References

  1. International Telecommunication Union ICT STATISTICS Home Page http://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx. accessed on 2014.

  2. Muscat JE, Malkin MG, Thompson S, Shore RE, Stellman SD, McRee D et al. Handheld cellular telephone use and risk of brain cancer. JAMA 2000; 284: 3001–3007.

    Article  CAS  Google Scholar 

  3. Inskip PD, Tarone RE, Hatch EE, Wilcosky TC, Shapiro WR, Selker RG et al. Cellular-telephone use and brain tumors. N Engl J Med 2001; 344: 79–86.

    Article  CAS  Google Scholar 

  4. Hardell L, Carlberg M, Mild KH . Case-control study of the association between the use of cellular and cordless telephones and malignant brain tumors diagnosed during 2000-2003. Environ Res 2006; 100: 232–241.

    Article  CAS  Google Scholar 

  5. Hardell L, Carlberg M, Hansson Mild K . Pooled analysis of two case-control studies on use of cellular and cordless telephones and the risk for malignant brain tumours diagnosed in 1997-2003. Int Arch Occup Environ Health 2006; 79: 630–639.

    Article  Google Scholar 

  6. Interphone Study Group. Brain tumour risk in relation to mobile telephone use: results of the INTERPHONE international case-control study. Int J Epidemiol 2010; 39: 675–694.

    Article  Google Scholar 

  7. Interphone Study Group. Acoustic neuroma risk in relation to mobile telephone use: results of the INTERPHONE international case-control study. Cancer Epidemiol 2011; 35: 453–464.

    Article  Google Scholar 

  8. Aydin D, Feychting M, Schüz J, Tynes T, Andersen TV, Schmidt LS et al. Mobile phone use and brain tumors in children and adolescents: a multicenter case-control study. J Natl Cancer Inst 2011; 103: 1264–1276.

    Article  Google Scholar 

  9. Lönn S, Ahlbom A, Hall P, Feychting M . Mobile phone use and the risk of acoustic neuroma. Epidemiology 2004; 15: 653–659.

    Article  Google Scholar 

  10. Schoemaker MJ, Swerdlow AJ, Ahlbom A, Auvinen A, Blaasaas KG, Cardis E et al. Mobile phone use and risk of acoustic neuroma: results of the Interphone case-control study in five North European countries. Br J Cancer 2005; 93: 842–848.

    Article  CAS  Google Scholar 

  11. Hepworth SJ, Schoemaker MJ, Muir KR, Swerdlow AJ, van Tongeren MJ, McKinney PA . Mobile phone use and risk of glioma in adults: case-control study. BMJ 2006; 332: 883–887.

    Article  Google Scholar 

  12. Lahkola A, Auvinen A, Raitanen J, Schoemaker MJ, Christensen HC, Feychting M et al. Mobile phone use and risk of glioma in 5 North European countries. Int J Cancer 2007; 120: 1769–1775.

    Article  CAS  Google Scholar 

  13. Sadetzki S, Chetrit A, Jarus-Hakak A, Cardis E, Deutch Y, Duvdevani S et al. Cellular phone use and risk of benign and malignant parotid gland tumors—a nationwide case-control study. Am J Epidemiol 2008; 167: 457–467.

    Article  Google Scholar 

  14. WHO. International EMF Project. 2006 WHO Research Agenda for Radio Frequency Fields http://www.who.int/peh-emf/research/rf_research_agenda_2006.pdf. accessed on 2014.

  15. Sadetzki S, Langer CE, Bruchim R, Kundi M, Merletti F, Vermeulen R et al. The MOBI-Kids Study Protocol: challenges in assessing childhood and adolescent exposure to electromagnetic fields from wireless telecommunication technologies and possible association with brain tumor risk. Front Public Health 2014; 2: 124.

    Article  Google Scholar 

  16. Parslow RC, Hepworth SJ, McKinney PA . Recall of past use of mobile phone handsets. Radiat Prot Dosimetry 2003; 106: 233–240.

    Article  CAS  Google Scholar 

  17. Samkange-Zeeb F, Berg G, Blettner M . Validation of self-reported cellular phone use. J Expo Anal Environ Epidemiol 2004; 14: 245–248.

    Article  Google Scholar 

  18. Vrijheid M, Cardis E, Armstrong BK, Auvinen A, Berg G, Blaasaas KG et al. Validation of short term recall of mobile phone use for the Interphone study. Occup Environ Med 2006; 63: 237–243.

    Article  CAS  Google Scholar 

  19. Tokola K, Kurttio P, Salminen T, Auvinen A . Reducing overestimation in reported mobile phone use associated with epidemiological studies. Bioelectromagnetics 2008; 29: 559–563.

    Article  Google Scholar 

  20. Vrijheid M, Armstrong BK, Bédard D, Brown J, Deltour I, Iavarone I et al. Recall bias in the assessment of exposure to mobile phones. J Expo Sci Environ Epidemiol 2009; 19: 369–381.

    Article  Google Scholar 

  21. Shum M, Kelsh MA, Sheppard AR, Zhao K . An evaluation of self-reported mobile phone use compared to billing records among a group of engineers and scientists. Bioelectromagnetics 2011; 32: 37–48.

    Article  Google Scholar 

  22. Aydin D, Feychting M, Schüz J, Andersen TV, Poulsen AH, Prochazka M et al. Impact of random and systematic recall errors and selection bias in case—control studies on mobile phone use and brain tumors in adolescents (CEFALO study). Bioelectromagnetics 2011; 32: 396–407.

    Article  Google Scholar 

  23. Cardis E, Deltour I, Mann S, Moissonnier M, Taki M, Varsier N et al. Distribution of RF energy emitted by mobile phones in anatomical structures of the brain. Phys Med Biol 2008; 53: 2771–2783.

    Article  CAS  Google Scholar 

  24. Inyang I, Benke G, McKenzie R, Wolfe R, Abramson MJ . A new method to determine laterality of mobile telephone use in adolescents. Occup Environ Med 2010; 67: 507–512.

    Article  Google Scholar 

  25. Evaluation of exposure and laterality of mobile phone use for epidemiological studies. 10th International Congress of the European Bioelectromagnetics Association (EBEA); Rome, Italy 2011.

  26. Bland JM, Altman DG . Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet 1995; 346: 1085–1087.

    Article  CAS  Google Scholar 

  27. Bland JM, Altman DG . Measuring agreement in method comparison studies. Stat Methods Med Res 1999; 8: 135–160.

    Article  CAS  Google Scholar 

  28. Inyang I, Benke G, McKenzie R, Abramson M . Comparison of measuring instruments for radiofrequency radiation from mobile telephones in epidemiological studies: implications for exposure assessment. J Expo Sci Environ Epidemiol 2008; 18: 134–141.

    Article  Google Scholar 

  29. Schüz J . Lost in laterality: interpreting ''preferred side of the head during mobile phone use and risk of brain tumour'' associations. Scand J Public Health 2009; 37: 664–667.

    Article  Google Scholar 

  30. Seidman MD, Siegel B, Shah P, Bowyer SM . Hemispheric dominance and cell phone use. JAMA Otolaryngol Head Neck Surg 2013; 139: 466–470.

    Article  Google Scholar 

  31. Inyang I, Benke G, Morrissey J, McKenzie R, Abramson M . How well do adolescents recall use of mobile telephones? Results of a validation study. BMC Med Res Methodol 2009; 9: 36.

    Article  Google Scholar 

  32. Drews CD, Kraus JF, Greenland S . Recall bias in a case-control study of sudden infant death syndrome. Int J Epidemiol 1990; 19: 405–411.

    Article  CAS  Google Scholar 

  33. Infante-Rivard C, Jacques L . Empirical study of parental recall bias. Am J Epidemiol 2000; 152: 480–486.

    Article  CAS  Google Scholar 

  34. Vrijheid M, Deltour I, Krewski D, Sanchez M, Cardis E . The effects of recall errors and of selection bias in epidemiologic studies of mobile phone use and cancer risk. J Expo Sci Environ Epidemiol 2006; 16: 371–384.

    Article  Google Scholar 

  35. Landis JR, Koch GG . The measurement of observer agreement for categorical data. Biometrics 1977; 33: 159–174.

    Article  CAS  Google Scholar 

  36. Brener ND, Billy JO, Grady WR . Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: evidence from the scientific literature. J Adolesc Health 2003; 33: 436–457.

    Article  Google Scholar 

  37. Berg G, Schüz J, Samkange-Zeeb F, Blettner M . Assessment of radiofrequency exposure from cellular telephone daily use in an epidemiological study: German Validation study of the international case-control study of cancers of the brain—INTERPHONE-Study. J Expo Anal Environ Epidemiol 2005; 15: 217–224.

    Article  Google Scholar 

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Acknowledgements

This study was supported by the Ministry of Internal Affairs and Communications in Japan. We sincerely thank Noritoshi Fukushima, Daisuke Furushima, Yuko Asano and Yuri Sunaya for the data collection; Kaoru Esaki for the data processing; and Paul Matychuk for language support.

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Correspondence to Kosuke Kiyohara.

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Kiyohara, K., Wake, K., Watanabe, S. et al. Recall accuracy of mobile phone calls among Japanese young people. J Expo Sci Environ Epidemiol 26, 566–574 (2016). https://doi.org/10.1038/jes.2015.13

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