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Journal Abstract Search

243 related items for PubMed ID: 36028890

  • 1. CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children.
    Carlson JA, Ridgers ND, Nakandala S, Zablocki R, Tuz-Zahra F, Bellettiere J, Hibbing PR, Steel C, Jankowska MM, Rosenberg DE, Greenwood-Hickman MA, Zou J, LaCroix AZ, Kumar A, Natarajan L.
    Int J Behav Nutr Phys Act; 2022 Aug 26; 19(1):109. PubMed ID: 36028890
    [Abstract] [Full Text] [Related]

  • 2. The CNN Hip Accelerometer Posture (CHAP) Method for Classifying Sitting Patterns from Hip Accelerometers: A Validation Study.
    Greenwood-Hickman MA, Nakandala S, Jankowska MM, Rosenberg DE, Tuz-Zahra F, Bellettiere J, Carlson J, Hibbing PR, Zou J, Lacroix AZ, Kumar A, Natarajan L.
    Med Sci Sports Exerc; 2021 Nov 01; 53(11):2445-2454. PubMed ID: 34033622
    [Abstract] [Full Text] [Related]

  • 3. Using Activity Monitors to Measure Sit-to-Stand Transitions in Overweight/Obese Youth.
    Mitchell T, Borner K, Finch J, Kerr J, Carlson JA.
    Med Sci Sports Exerc; 2017 Aug 01; 49(8):1592-1598. PubMed ID: 28288011
    [Abstract] [Full Text] [Related]

  • 4. Day-level sedentary pattern estimates derived from hip-worn accelerometer cut-points in 8-12-year-olds: Do they reflect postural transitions?
    Carlson JA, Bellettiere J, Kerr J, Salmon J, Timperio A, Verswijveren SJJM, Ridgers ND.
    J Sports Sci; 2019 Aug 01; 37(16):1899-1909. PubMed ID: 31002287
    [Abstract] [Full Text] [Related]

  • 5. CHAP-Adult: A Reliable and Valid Algorithm to Classify Sitting and Measure Sitting Patterns Using Data From Hip-Worn Accelerometers in Adults Aged 35.
    Bellettiere J, Nakandala S, Tuz-Zahra F, Winkler EAH, Hibbing PR, Healy GN, Dunstan DW, Owen N, Greenwood-Hickman MA, Rosenberg DE, Zou J, Carlson JA, Di C, Dillon LW, Jankowska MM, LaCroix AZ, Ridgers ND, Zablocki R, Kumar A, Natarajan L.
    J Meas Phys Behav; 2022 Dec 01; 5(4):215-223. PubMed ID: 38260182
    [Abstract] [Full Text] [Related]

  • 6. Comparison of Sedentary Estimates between activPAL and Hip- and Wrist-Worn ActiGraph.
    Koster A, Shiroma EJ, Caserotti P, Matthews CE, Chen KY, Glynn NW, Harris TB.
    Med Sci Sports Exerc; 2016 Aug 01; 48(8):1514-1522. PubMed ID: 27031744
    [Abstract] [Full Text] [Related]

  • 7. Validity and responsiveness of four measures of occupational sitting and standing.
    van Nassau F, Chau JY, Lakerveld J, Bauman AE, van der Ploeg HP.
    Int J Behav Nutr Phys Act; 2015 Nov 25; 12():144. PubMed ID: 26608219
    [Abstract] [Full Text] [Related]

  • 8. Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.
    Kerr J, Carlson J, Godbole S, Cadmus-Bertram L, Bellettiere J, Hartman S.
    Med Sci Sports Exerc; 2018 Jul 25; 50(7):1518-1524. PubMed ID: 29443824
    [Abstract] [Full Text] [Related]

  • 9. Agreement of sedentary behaviour metrics derived from hip-worn and thigh-worn accelerometers among older adults: with implications for studying physical and cognitive health.
    Bellettiere J, Tuz-Zahra F, Carlson JA, Ridgers ND, Liles S, Greenwood-Hickman MA, Walker RL, LaCroix AZ, Jankowska MM, Rosenberg DE, Natarajan L.
    J Meas Phys Behav; 2021 Mar 25; 4(1):79-88. PubMed ID: 34708190
    [Abstract] [Full Text] [Related]

  • 10. Ability of thigh-worn ActiGraph and activPAL monitors to classify posture and motion.
    Steeves JA, Bowles HR, McClain JJ, Dodd KW, Brychta RJ, Wang J, Chen KY.
    Med Sci Sports Exerc; 2015 May 25; 47(5):952-9. PubMed ID: 25202847
    [Abstract] [Full Text] [Related]

  • 11. Validity of the activPAL and ActiGraph for measuring sitting time and steps in hospitalised orthopaedic patients with altered weight bearing.
    Kirk AG, Kimmel LA, Behm KJ, Peiris CL, Ekegren CL.
    Disabil Rehabil; 2024 Jan 25; 46(2):378-386. PubMed ID: 36541196
    [Abstract] [Full Text] [Related]

  • 12. Wrist-Worn Accelerometer-Brand Independent Posture Classification.
    Rowlands AV, Yates T, Olds TS, Davies M, Khunti K, Edwardson CL.
    Med Sci Sports Exerc; 2016 Apr 25; 48(4):748-54. PubMed ID: 26559451
    [Abstract] [Full Text] [Related]

  • 13. Children's physical activity assessed with wrist- and hip-worn accelerometers.
    Rowlands AV, Rennie K, Kozarski R, Stanley RM, Eston RG, Parfitt GC, Olds TS.
    Med Sci Sports Exerc; 2014 Dec 25; 46(12):2308-16. PubMed ID: 24781890
    [Abstract] [Full Text] [Related]

  • 14. Examining the validity of the ActivPAL monitor in measuring posture and ambulatory movement in children.
    Aminian S, Hinckson EA.
    Int J Behav Nutr Phys Act; 2012 Oct 02; 9():119. PubMed ID: 23031188
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  • 16. Evaluation of raw acceleration sedentary thresholds in children and adults.
    Hildebrand M, Hansen BH, van Hees VT, Ekelund U.
    Scand J Med Sci Sports; 2017 Dec 02; 27(12):1814-1823. PubMed ID: 27878845
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  • 18. Low movement, deep-learned sitting patterns, and sedentary behavior in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE).
    Hibbing PR, Carlson JA, Steel C, Greenwood-Hickman MA, Nakandala S, Jankowska MM, Bellettiere J, Zou J, LaCroix AZ, Kumar A, Katzmarzyk PT, Natarajan L.
    Int J Obes (Lond); 2023 Nov 02; 47(11):1100-1107. PubMed ID: 37580374
    [Abstract] [Full Text] [Related]

  • 19. Examination of different accelerometer cut-points for assessing sedentary behaviors in children.
    Kim Y, Lee JM, Peters BP, Gaesser GA, Welk GJ.
    PLoS One; 2014 Nov 02; 9(4):e90630. PubMed ID: 24699259
    [Abstract] [Full Text] [Related]

  • 20. Agreement between activPAL and ActiGraph for assessing children's sedentary time.
    Ridgers ND, Salmon J, Ridley K, O'Connell E, Arundell L, Timperio A.
    Int J Behav Nutr Phys Act; 2012 Feb 19; 9():15. PubMed ID: 22340137
    [Abstract] [Full Text] [Related]

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