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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

260 related items for PubMed ID: 31796778

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  • 3. Cross-generational comparability of hip- and wrist-worn ActiGraph GT3X+, wGT3X-BT, and GT9X accelerometers during free-living in adults.
    Clevenger KA, Pfeiffer KA, Montoye AHK.
    J Sports Sci; 2020 Dec; 38(24):2794-2802. PubMed ID: 32755446
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  • 7. Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents.
    Fairclough SJ, Rowlands AV, Del Pozo Cruz B, Crotti M, Foweather L, Graves LEF, Hurter L, Jones O, MacDonald M, McCann DA, Miller C, Noonan RJ, Owen MB, Rudd JR, Taylor SL, Tyler R, Boddy LM.
    Int J Behav Nutr Phys Act; 2023 Mar 25; 20(1):35. PubMed ID: 36964597
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  • 8. Development of raw acceleration cut-points for wrist and hip accelerometers to assess sedentary behaviour and physical activity in 5-7-year-old children.
    Crotti M, Foweather L, Rudd JR, Hurter L, Schwarz S, Boddy LM.
    J Sports Sci; 2020 May 25; 38(9):1036-1045. PubMed ID: 32228156
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  • 9. Raw Accelerometer Data Analysis with GGIR R-package: Does Accelerometer Brand Matter?
    Rowlands AV, Yates T, Davies M, Khunti K, Edwardson CL.
    Med Sci Sports Exerc; 2016 Oct 25; 48(10):1935-41. PubMed ID: 27183118
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  • 10. A comparison of physical activity from Actigraph GT3X+ accelerometers worn on the dominant and non-dominant wrist.
    Buchan DS, McSeveney F, McLellan G.
    Clin Physiol Funct Imaging; 2019 Jan 25; 39(1):51-56. PubMed ID: 30058765
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  • 12. A comparative analysis of 24-hour movement behaviors features using different accelerometer metrics in adults: Implications for guideline compliance and associations with cardiometabolic health.
    Willems I, Verbestel V, Dumuid D, Calders P, Lapauw B, De Craemer M.
    PLoS One; 2024 Jan 25; 19(9):e0309931. PubMed ID: 39288135
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  • 13. An Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics.
    Bai J, Di C, Xiao L, Evenson KR, LaCroix AZ, Crainiceanu CM, Buchner DM.
    PLoS One; 2016 Jan 25; 11(8):e0160644. PubMed ID: 27513333
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  • 14. Comparing estimates of physical activity in children across different cut-points and the associations with weight status.
    Leppänen MH, Migueles JH, Abdollahi AM, Engberg E, Ortega FB, Roos E.
    Scand J Med Sci Sports; 2022 Jun 25; 32(6):971-983. PubMed ID: 35253276
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  • 15. Accelerometer Data Processing and Energy Expenditure Estimation in Preschoolers.
    Migueles JH, Delisle Nyström C, Henriksson P, Cadenas-Sanchez C, Ortega FB, Löf M.
    Med Sci Sports Exerc; 2019 Mar 25; 51(3):590-598. PubMed ID: 30303935
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  • 16. Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity.
    van Hees VT, Gorzelniak L, Dean León EC, Eder M, Pias M, Taherian S, Ekelund U, Renström F, Franks PW, Horsch A, Brage S.
    PLoS One; 2013 Mar 25; 8(4):e61691. PubMed ID: 23626718
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  • 17. Agreement and equivalence of estimated physical activity behaviours, using ENMO- and counts-based processing methods, for wrist-worn accelerometers in adolescents.
    Williams RA, Dring KJ, Morris JG, Sun FH, Cooper SB.
    J Sports Sci; 2022 Nov 25; 40(22):2499-2508. PubMed ID: 36638058
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  • 18. Calibration of GENEActiv accelerometer wrist cut-points for the assessment of physical activity intensity of preschool aged children.
    Roscoe CMP, James RS, Duncan MJ.
    Eur J Pediatr; 2017 Aug 25; 176(8):1093-1098. PubMed ID: 28674825
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  • 19. Adapting the Intensity Gradient for Use with Count-Based Accelerometry Data in Children and Adolescents.
    Alexander CJ, Manske SL, Edwards WB, Gabel L.
    Sensors (Basel); 2024 May 10; 24(10):. PubMed ID: 38793873
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  • 20. Generation and validation of ActiGraph GT3X+ accelerometer cut-points for assessing physical activity intensity in older adults. The OUTDOOR ACTIVE validation study.
    Bammann K, Thomson NK, Albrecht BM, Buchan DS, Easton C.
    PLoS One; 2021 May 10; 16(6):e0252615. PubMed ID: 34081715
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