In response to: ‘information bias in measures of self-reported physical activity’

Access through your institution Buy or subscribe We thank the editors for the opportunity to respond to the issues raised by Folley et al. [1]. We also thank Folley et al. for their interest

in our paper and for helping to provide further insight into our findings. In our paper, we sought to identify genetic correlates of habitual physical activity (PA) by examining five PA

measures: three based on self-report, and two based on accelerometry data [2]. Folley et al. hypothesized that individuals with poor cognitive function are more likely to over-estimate and

over-report their level of physical activity. They support their hypothesis by showing that those with lower memory, lower education, and older age tend to self-report higher levels of PA,

but generally exhibit lower levels of accelerometry-measured PA – an objective and presumably more accurate measure of actual PA (although not without its own limitations). The trends that

they show are relatively consistent, and do seem to suggest that there is over-reporting of PA by these individuals. This could suggest that some of the loci identified for

moderate-to-vigorous PA (MVPA), and perhaps for some of the other self-report measures, may be related, at least in part, to relatively poorer cognitive performance rather than to MVPA. This

is a preview of subscription content, access via your institution ACCESS OPTIONS Access through your institution Subscribe to this journal Receive 12 print issues and online access $259.00

per year only $21.58 per issue Learn more Buy this article * Purchase on SpringerLink * Instant access to full article PDF Buy now Prices may be subject to local taxes which are calculated

during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support REFERENCES * Folley S, Zhou A, Hypponen E.

Information bias in measures of self-reported physical activity. Int J Obes. 2018. In press. * 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;42:1161–76. Article  CAS 

Google Scholar  * Jones SE, van Hees VT, Mazzotti DR, Marques-Vidal P, Sabia S, van der Spek A et al. Genetic studies of accelerometer-based sleep measures in 85,670 individuals yield new

insights into human sleep behavior. bioRxiv. 2018; https://doi.org/10.1101/303925 * Lyall DM, Ward J, Ritchie SJ, Davies G, Cullen B, Calis C. et al. Alzheimer disease genetic risk factor

APOE e4 and cognitive abilities in 111,739 UK Biobank participants. Age Ageing. 2016;45:511–7. Article  Google Scholar  Download references ACKNOWLEDGEMENTS This research was conducted using

the UK Biobank Resource under Application Numbers 15678 and 21259. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College

of Public Health, University of Arizona, Tucson, AZ, USA Yann C. Klimentidis & Zhao Chen * School of Anthropology, University of Arizona, Tucson, AZ, USA David A. Raichlen * Department

of Medicine, University of Arizona, Tucson, AZ, USA Jennifer Bea * Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA Jennifer Bea & Scott B. Going * Department

of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA David O. Garcia * Scripps Translational Science Institute, La Jolla, CA,

USA Nathan E. Wineinger * Center for Disparities in Diabetes, Obesity and Metabolism, Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Arizona,

Tucson, AZ, USA Lawrence J. Mandarino * Departments of Psychology and Psychiatry, Neuroscience and Physiological Sciences Interdisciplinary Programs, BIO5 Institute, and Evelyn F. McKnight

Brain Institute, University of Arizona, Tucson, AZ, USA Gene E. Alexander * Arizona Alzheimer’s Consortium, Phoenix, AZ, USA Gene E. Alexander Authors * Yann C. Klimentidis View author

publications You can also search for this author inPubMed Google Scholar * David A. Raichlen View author publications You can also search for this author inPubMed Google Scholar * Jennifer

Bea View author publications You can also search for this author inPubMed Google Scholar * David O. Garcia View author publications You can also search for this author inPubMed Google

Scholar * Nathan E. Wineinger View author publications You can also search for this author inPubMed Google Scholar * Lawrence J. Mandarino View author publications You can also search for

this author inPubMed Google Scholar * Gene E. Alexander View author publications You can also search for this author inPubMed Google Scholar * Zhao Chen View author publications You can also

search for this author inPubMed Google Scholar * Scott B. Going View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to

Yann C. Klimentidis. ETHICS DECLARATIONS CONFLICT OF INTEREST The authors declare that they have no conflict of interest. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE

CITE THIS ARTICLE Klimentidis, Y.C., Raichlen, D.A., Bea, J. _et al._ In response to: ‘Information bias in measures of self-reported physical activity’. _Int J Obes_ 42, 2064–2065 (2018).

https://doi.org/10.1038/s41366-018-0251-6 Download citation * Received: 17 September 2018 * Accepted: 18 September 2018 * Published: 21 November 2018 * Issue Date: December 2018 * DOI:

https://doi.org/10.1038/s41366-018-0251-6 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not

currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative