Regression calibration of self-reported mobile phone use to optimize quantitative risk estimation in the COSMOS study

Marije Reedijk, Lützen Portengen, Anssi Auvinen, Katja Kojo, Sirpa Heinävaara, Maria Feychting, Giorgio Tettamanti, Lena Hillert, Paul Elliott, Mireille B Toledano, Rachel B Smith, Joël Heller, Joachim Schüz, Isabelle Deltour, Aslak Harbo Poulsen, Christoffer Johansen, Robert Verheij, Petra Peeters, Matti Rookus, Eugenio TrainiAnke Huss, Hans Kromhout, Roel Vermeulen, The Cosmos Study Group

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The Cohort Study of Mobile Phone Use and Health (COSMOS) has repeatedly collected self-reported and operator-recorded data on mobile phone use. Assessing health effects using self-reported information is prone to measurement error, but operator data were available prospectively for only part of the study population and did not cover past mobile phone use. To optimize the available data and reduce bias, we evaluated different statistical approaches for constructing mobile phone exposure histories within COSMOS. We evaluated and compared the performance of 4 regression calibration (RC) methods (simple, direct, inverse, and generalized additive model for location, shape, and scale), complete-case analysis, and multiple imputation in a simulation study with a binary health outcome. We used self-reported and operator-recorded mobile phone call data collected at baseline (2007-2012) from participants in Denmark, Finland, the Netherlands, Sweden, and the United Kingdom. Parameter estimates obtained using simple, direct, and inverse RC methods were associated with less bias and lower mean squared error than those obtained with complete-case analysis or multiple imputation. We showed that RC methods resulted in more accurate estimation of the relationship between mobile phone use and health outcomes by combining self-reported data with objective operator-recorded data available for a subset of participants.

Original languageEnglish
Pages (from-to)1482-1493
Number of pages12
JournalAmerican Journal of Epidemiology
Volume193
Issue number10
Early online date13 May 2024
DOIs
Publication statusPublished - Oct 2024

Keywords

  • Cohort analysis
  • Exposure assessment
  • Health outcomes
  • Measurement error
  • Mobile phone use
  • Regression calibration

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