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Genetics and Epigenetics

Information bias in measures of self-reported physical activity

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References

  1. Klimentidis YC, Raichlen DA, Bea J, Garcia DO, Wineinger NE, Mandarino LJ et al. Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE. Int J Obes. 2018; 42: 1161–1176.

    Article  CAS  Google Scholar 

  2. Liu C-C, Kanekiyo T, Xu H, Bu G. Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nat Rev Neurol. 2013;9:106.

    Article  CAS  Google Scholar 

  3. Herbolsheimer F, Riepe MW, Peter R. Cognitive function and the agreement between self-reported and accelerometer-accessed physical activity. BMC Geriatr. 2018;18:56.

    Article  Google Scholar 

  4. Firth J, Stubbs B, Vancampfort D, Schuch FB, Rosenbaum S, Ward PB et al. The validity and value of self-reported physical activity and accelerometry in people with Schizophrenia: a population-scale study of the UK Biobank. Schizophrenia Bulletin. 2017; e-pub ahead of print 24 October 2017; https://doi.org/10.1093/schbul/sbx149.

    Article  Google Scholar 

  5. Bradbury KE, Guo W, Cairns BJ, Armstrong ME, Key TJ. Association between physical activity and body fat percentage, with adjustment for BMI: a large cross-sectional analysis of UK Biobank. BMJ Open. 2017;7:e011843.

    Article  Google Scholar 

  6. Doherty A, Jackson D, Hammerla N, Plötz T, Olivier P, Granat MH, et al. Large scale population assessment of physical activity using wrist worn accelerometers: The UK Biobank Study. PLoS ONE. 2017;12:e0169649.

    Article  Google Scholar 

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Correspondence to Elina Hyppönen.

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Folley, S., Zhou, A. & Hyppönen, E. Information bias in measures of self-reported physical activity. Int J Obes 42, 2062–2063 (2018). https://doi.org/10.1038/s41366-018-0223-x

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