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dc.contributor.authorHicks, Hilary J.
dc.contributor.authorLaffer, Alex
dc.contributor.authorLosinski, Genna
dc.contributor.authorWatts, Amber
dc.date.accessioned2020-06-11T19:08:20Z
dc.date.available2020-06-11T19:08:20Z
dc.date.issued2019-11-08
dc.identifier.citationHicks, H. J., Laffer, A., Losinski, G., & Watts, A. (2019). ACTIGRAPH’S LOW-FREQUENCY EXTENSION FILTER FOR ESTIMATING WRIST-WORN PHYSICAL ACTIVITY IN OLDER ADULTS. Innovation in Aging, 3(Suppl 1), S520–S521. https://doi.org/10.1093/geroni/igz038.1918en_US
dc.identifier.urihttp://hdl.handle.net/1808/30443
dc.descriptionThis is a pre-copyedited, author-produced version of an article accepted for publication in Innovation in Aging following peer review. The version of record Hicks, Hilary J et al. “ACTIGRAPH’S LOW-FREQUENCY EXTENSION FILTER FOR ESTIMATING WRIST-WORN PHYSICAL ACTIVITY IN OLDER ADULTS.” Innovation in Aging vol. 3,Suppl 1 S520–S521. 8 Nov. 2019, doi:10.1093/geroni/igz038.1918 is available online at: https://doi.org/10.1093/geroni/igz038.1918.

This work is licensed under a Creative Commons Attribution 4.0 International License.
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dc.description.abstractAdvancements in body-worn activity devices make them valuable for objective physical activity measurement. Research-grade monitors utilize software algorithms developed with younger populations using waist-worn devices. ActiGraph offers the low frequency extension (LFE) filter which reduces the movement threshold to capture low acceleration activity that is more common in older adults. It is unclear how this filter changes activity variable calculations in older adults. We investigated the effects of the LFE filter on wrist-worn activity estimates in this population. Participants were 21 older adults who wore the GT9X on their non-dominant wrist for 7 days in a free-living environment. Activity counts were estimated both with and without the LFE filter. Paired samples t-tests revealed that the LFE estimated significantly higher number of counts than non-LFE calculated counts per minute on all three axes (p < .001). Step count estimates were higher with (M = 20,780.09, SD = 5300.85) vs. without (M = 10,896.54, SD = 3489.45) the LFE filter, (t (20) = -22.21, p < .001). These differences have implications for calculations based on axis counts (e.g., Axis-1 calculated steps, intensity level classifications) that rely on waist-worn standards. For example, even without the filter, the GT9X calculated an average of 10,897 steps, which is likely an overestimate in this population. This suggests that axes-based variables should be interpreted with caution when generated with wrist-worn data, and future studies should aim to develop separate wrist and waist-worn standard estimates of these variables in older adult populations.en_US
dc.publisherOxford University Pressen_US
dc.rights© The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.titleACTIGRAPH’S LOW-FREQUENCY EXTENSION FILTER FOR ESTIMATING WRIST-WORN PHYSICAL ACTIVITY IN OLDER ADULTSen_US
dc.typeArticleen_US
kusw.kuauthorHicks, Hilary J.
kusw.kuauthorLaffer, Alex
kusw.kuauthorLosinski, Genna
kusw.kuauthorWatts, Amber
kusw.kudepartmentClinical Psychology Programen_US
kusw.kudepartmentPsychologyen_US
dc.identifier.doi10.1093/geroni/igz038.1918en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC6841388en_US
dc.rights.accessrightsopenAccessen_US


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© The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America.
Except where otherwise noted, this item's license is described as: © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America.