Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rong Zablocki"'
Autor:
Jordan A. Carlson, Nicola D. Ridgers, Supun Nakandala, Rong Zablocki, Fatima Tuz-Zahra, John Bellettiere, Paul R. Hibbing, Chelsea Steel, Marta M. Jankowska, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman, Jingjing Zou, Andrea Z. LaCroix, Arun Kumar, Loki Natarajan
Publikováno v:
International Journal of Behavioral Nutrition and Physical Activity, Vol 19, Iss 1, Pp 1-10 (2022)
Abstract Background Hip-worn accelerometer cut-points have poor validity for assessing children’s sedentary time, which may partly explain the equivocal health associations shown in prior research. Improved processing/classification methods for the
Externí odkaz:
https://doaj.org/article/065d56627b414076942b6e2cf267a816
Autor:
Jordan A. Carlson, Nicola D. Ridgers, Supun Nakandala, Rong Zablocki, Fatima Tuz-Zahra, John Bellettiere, Paul R. Hibbing, Chelsea Steel, Marta M. Jankowska, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman, Jingjing Zou, Andrea Z. LaCroix, Arun Kumar, Loki Natarajan
Publikováno v:
The international journal of behavioral nutrition and physical activity, vol 19, iss 1
Background Hip-worn accelerometer cut-points have poor validity for assessing children’s sedentary time, which may partly explain the equivocal health associations shown in prior research. Improved processing/classification methods for these monito
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09125d31d57c98c7af52d4bfb3da18ab
https://pubmed.ncbi.nlm.nih.gov/36028890
https://pubmed.ncbi.nlm.nih.gov/36028890
Autor:
John Bellettiere, Supun Nakandala, Fatima Tuz-Zahra, Elisabeth A.H. Winkler, Paul R. Hibbing, Genevieve N. Healy, David W. Dunstan, Neville Owen, Mikael Anne Greenwood-Hickman, Dori E. Rosenberg, Jingjing Zou, Jordan A. Carlson, Chongzhi Di, Lindsay W. Dillon, Marta M. Jankowska, Andrea Z. LaCroix, Nicola D. Ridgers, Rong Zablocki, Arun Kumar, Loki Natarajan
Background: Hip-worn accelerometers are commonly used, but data processed using the 100 counts per minute cut point do not accurately measure sitting patterns. We developed and validated a model to accurately classify sitting and sitting patterns usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f74cc8b4baae1df0c9fae15d9c51e5a
https://acuresearchbank.acu.edu.au/item/8y920/chap-adult-a-reliable-and-valid-algorithm-to-classify-sitting-and-measure-sitting-patterns-using-data-from-hip-worn-accelerometers-in-adults-aged-35
https://acuresearchbank.acu.edu.au/item/8y920/chap-adult-a-reliable-and-valid-algorithm-to-classify-sitting-and-measure-sitting-patterns-using-data-from-hip-worn-accelerometers-in-adults-aged-35
