Personally generated health data are increasingly used to report on population prevalence
and trends, providing a new avenue for public health surveillance.
1
Documentation of acceptable measurement properties to ensure correct interpretations
should precede their use. One common source of personally generated health data comes
from activity trackers, self-worn devices that provide feedback and long-term tracking
on physical activity–related metrics.
2
Activity trackers are relatively unobtrusive and low cost, with 12.5% of U.S. adults
reporting wearing one in 2015.
3
Companies selling activity trackers already report on data acquired by their users.
4
,
Fitbit Inc. Weathering the weather. www.fitbit.com/weathermap. Accessed April 19, 2017.
5
Mohan S. The Jawbone Blog: What makes people happy? We have the data. https://jawbone.com/blog/what-makes-people-happy/. Published June 4, 2015. Accessed April 19, 2017.
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References
- Denominator issues for personally generated data in population health monitoring.Am J Prev Med. 2017; 52: 549-553https://doi.org/10.1016/j.amepre.2016.10.038
- Systematic review of the validity and reliability of consumer-wearable activity trackers.Int J Behav Nutr Phys Act. 2015; 12: 159https://doi.org/10.1186/s12966-015-0314-1
- National physical activity surveillance: users of wearable activity monitors as a potential data source.Prev Med Rep. 2016; 5: 124-126https://doi.org/10.1016/j.pmedr.2016.10.014
Fitbit Inc. Weathering the weather. www.fitbit.com/weathermap. Accessed April 19, 2017.
Mohan S. The Jawbone Blog: What makes people happy? We have the data. https://jawbone.com/blog/what-makes-people-happy/. Published June 4, 2015. Accessed April 19, 2017.
- Strategic priorities for physical activity surveillance in the United States.Med Sci Sports Exerc. 2016; 48: 2057-2069https://doi.org/10.1249/MSS.0000000000000989
CDC. A Data Users Guide to the BRFSS Physical Activity Questions. Atlanta, GA: U.S. DHHS, CDC. www.cdc.gov/brfss/pdf/PA%20RotatingCore_BRFSSGuide_508Comp_07252013FINAL.pdf. Accessed April 19, 2017.
- The measurement of observer agreement for categorical data.Biometrics. 1977; 33: 159-174https://doi.org/10.2307/2529310
- Statistical methods for assessing agreement between two methods of clinical measurement.Lancet. 1986; 327: 307-310https://doi.org/10.1016/S0140-6736(86)90837-8
- A systematic review of publications assessing reliability and validity of the Behavioral Risk Factor Surveillance System (BRFSS), 2004-2011.BMC Med Res Methodol. 2013; 13: 49https://doi.org/10.1186/1471-2288-13-49
Article info
Publication history
Published online: July 26, 2017
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© 2017 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
