Characterizing ActiGraph's Idle Sleep Mode in Free-Living Assessments of Physical Behavior

被引:0
作者
LaMunion, Samuel R. [1 ]
Brychta, Robert J. [1 ]
Freeman, Joshua R. [2 ]
Saint-Maurice, Pedro F. [2 ,3 ]
Matthews, Charles E. [2 ]
Ishihara, Asuka [1 ]
Chen, Kong Y. [1 ]
机构
[1] Natl Inst Diabet & Digest & Kidney Dis NIDDK, Energy Metab Sect, Diabet Endocrinol & Obes Branch, NIH, Bethesda, MD 20892 USA
[2] NCI, Metab Epidemiol Branch, Div Canc Epidemiol & Genet, Bethesda, MD USA
[3] Champalimaud Fdn, Lisbon, Portugal
基金
美国国家卫生研究院;
关键词
device settings; initialization parameters; data collection decisions; NHANES; data scoring; ACCELEROMETER; TIME;
D O I
10.1123/jmpb.2023-0038
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
ActiGraph's idle sleep mode (ISM) is an optional battery- and memory-conserving feature believed to engage during periods of nonwear, inactivity, and sleep, but it has not been well studied in free-living environments. Thus, we investigated ISM during a 7-day assessment in a nationally representative sample of 13,649 participants (6-80 years) in the United States and found it engaged 43.6% +/- 0.2% (mean +/- SE) of the 24 hr per day. ISM engagement was highest (78.4% +/- 0.2%) during early morning (00:00-05:59) and lowest (20.4% +/- 0.3%) during afternoon (12:00-17:59), corresponding to quadrants of lowest and highest of movement, respectively. ISM engagement was also inversely correlated with daily activity across all participants (R = -.72, p < .001). When restricted to participants averaging >= 21 hr per day of wear (N = 10,482), ISM still engaged 39.5% +/- 0.2% of the day and inversely correlated to daily activity (R = -.58, p < .001). These results suggest ISM engages in activity level-dependent temporal patterns. Additional research is needed to better inform analyses and interpretation of ISM-enabled data including whether it is appropriate to process them with existing methods that were developed and validated using data without ISM enabled. This issue may be particularly relevant for methods used to detect and score sleep, as ISM engaged during a substantial portion of the typical overnight sleep period in the 8-hr window between >= 22:00 and <06:00 (74.0% +/- 12.6%, mean +/- SD).
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页数:5
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共 26 条
  • [1] ActiGraph, 2018, Idle sleep mode explained
  • [2] Self-Reported and Objectively Measured Activity Related to Biomarkers Using NHANES
    Atienza, Audie A.
    Moser, Richard P.
    Perna, Frank
    Dodd, Kevin
    Ballard-Barbash, Rachel
    Troiano, Richard P.
    Berrigan, David
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2011, 43 (05) : 815 - 821
  • [3] NORMATIVE REFERENCE VALUES FOR ACTIGRAPHY-MEASURED TOTAL NOCTURNAL SLEEP TIME IN THE US POPULATION
    Barreira, Tiago, V
    Schuna, John M.
    Chaput, Jean-Philippe
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2022, 191 (02) : 360 - 362
  • [4] Accelerometer-based Physical Activity: Total Volume per Day and Standardized Measures
    Bassett, David R.
    Troiano, Richard P.
    Mcclain, James J.
    Wolff, Dana L.
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2015, 47 (04) : 833 - 838
  • [5] US Population-referenced Percentiles for Wrist-Worn Accelerometer-derived Activity
    Belcher, Britni R.
    Wolff-Hughes, Dana L.
    Dooley, Erin E.
    Staudenmayer, John
    Berrigan, David
    Eberhardt, Mark S.
    Troiano, Richard P.
    [J]. MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2021, 53 (11) : 2455 - 2464
  • [6] Chen Te-Ching, 2020, Vital Health Stat 2, P1
  • [7] Enabling the ActiGraph GT9X Link's Idle Sleep Mode and Inertial Measurement Unit Settings Directly Impacts Data Acquisition
    Coyle-Asbil, Hannah J.
    Habegger, Janik
    Oliver, Michele
    Vallis, Lori Ann
    [J]. SENSORS, 2023, 23 (12)
  • [8] Association between Objectively Measured Physical Activity and Mortality in NHANES
    Fishman, Ezra I.
    Steeves, Jeremy A.
    Zipunnikov, Vadim
    Koster, Annemarie
    Berrigan, David
    Harris, Tamara A.
    Murphy, Rachel
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2016, 48 (07) : 1303 - 1311
  • [9] John Dinesh, 2019, J Meas Phys Behav, V2, P268, DOI 10.1123/jmpb.2018-0068
  • [10] Assessing Physical Activity and its Relationship to Cardiovascular Risk Factors: NHANES 2003-2006
    Luke, Amy
    Dugas, Lara R.
    Durazo-Arvizu, Ramon A.
    Cao, Guichan
    Cooper, Richard S.
    [J]. BMC PUBLIC HEALTH, 2011, 11