These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
164 related articles for article (PubMed ID: 27652827)
1. Identifying adults' valid waking wear time by automated estimation in activPAL data collected with a 24 h wear protocol. Winkler EA; Bodicoat DH; Healy GN; Bakrania K; Yates T; Owen N; Dunstan DW; Edwardson CL Physiol Meas; 2016 Oct; 37(10):1653-1668. PubMed ID: 27652827 [TBL] [Abstract][Full Text] [Related]
2. Validity of an automated algorithm to identify waking and in-bed wear time in hip-worn accelerometer data collected with a 24 h wear protocol in young adults. McVeigh JA; Winkler EA; Healy GN; Slater J; Eastwood PR; Straker LM Physiol Meas; 2016 Oct; 37(10):1636-1652. PubMed ID: 27652717 [TBL] [Abstract][Full Text] [Related]
3. The validity of the GENEActiv wrist-worn accelerometer for measuring adult sedentary time in free living. Pavey TG; Gomersall SR; Clark BK; Brown WJ J Sci Med Sport; 2016 May; 19(5):395-9. PubMed ID: 25956687 [TBL] [Abstract][Full Text] [Related]
4. Validity of Two Awake Wear-Time Classification Algorithms for activPAL in Youth, Adults, and Older Adults. Carlson JA; Tuz-Zahra F; Bellettiere J; Ridgers ND; Steel C; Bejarano C; LaCroix AZ; Rosenberg DE; Greenwood-Hickman MA; Jankowska MM; Natarajan L J Meas Phys Behav; 2021; 4(2):151-162. PubMed ID: 34447927 [TBL] [Abstract][Full Text] [Related]
5. Identifying waking time in 24-h accelerometry data in adults using an automated algorithm. van der Berg JD; Willems PJ; van der Velde JH; Savelberg HH; Schaper NC; Schram MT; Sep SJ; Dagnelie PC; Bosma H; Stehouwer CD; Koster A J Sports Sci; 2016 Oct; 34(19):1867-73. PubMed ID: 26837855 [TBL] [Abstract][Full Text] [Related]
6. Parameterizing and validating existing algorithms for identifying out-of-bed time using hip-worn accelerometer data from older women. Bellettiere J; Zhang Y; Berardi V; Full KM; Kerr J; LaMonte MJ; Evenson KR; Hovell M; LaCroix AZ; Di C Physiol Meas; 2019 Jul; 40(7):075008. PubMed ID: 31018183 [TBL] [Abstract][Full Text] [Related]
7. Criterion validity and test-retest reliability of SED-GIH, a single item question for assessment of daily sitting time. Larsson K; Kallings LV; Ekblom Ö; Blom V; Andersson E; Ekblom MM BMC Public Health; 2019 Jan; 19(1):17. PubMed ID: 30611226 [TBL] [Abstract][Full Text] [Related]
8. Are we missing the sitting? Agreement between accelerometer non-wear time validation methods used with older adults' data. Chudyk AM; McAllister MM; Cheung HK; McKay HA; Ashe MC Cogent Med; 2017; 4():1313505. PubMed ID: 29308421 [TBL] [Abstract][Full Text] [Related]
10. Agreement of the activPAL3 and activPAL for characterising posture and stepping in adults and children. Sellers C; Dall P; Grant M; Stansfield B Gait Posture; 2016 Jul; 48():209-214. PubMed ID: 27318305 [TBL] [Abstract][Full Text] [Related]
11. Identifying sedentary time using automated estimates of accelerometer wear time. Winkler EA; Gardiner PA; Clark BK; Matthews CE; Owen N; Healy GN Br J Sports Med; 2012 May; 46(6):436-42. PubMed ID: 21504965 [TBL] [Abstract][Full Text] [Related]
12. Past-day recall of sedentary time: Validity of a self-reported measure of sedentary time in a university population. Clark BK; Pavey TG; Lim RF; Gomersall SR; Brown WJ J Sci Med Sport; 2016 Mar; 19(3):237-241. PubMed ID: 25766507 [TBL] [Abstract][Full Text] [Related]
13. Automated algorithms for detecting sleep period time using a multi-sensor pattern-recognition activity monitor from 24 h free-living data in older adults. Cabanas-Sánchez V; Higueras-Fresnillo S; De la Cámara MÁ; Veiga OL; Martinez-Gomez D Physiol Meas; 2018 May; 39(5):055002. PubMed ID: 29667936 [TBL] [Abstract][Full Text] [Related]
14. Field evaluation of a random forest activity classifier for wrist-worn accelerometer data. Pavey TG; Gilson ND; Gomersall SR; Clark B; Trost SG J Sci Med Sport; 2017 Jan; 20(1):75-80. PubMed ID: 27372275 [TBL] [Abstract][Full Text] [Related]
15. Adults' past-day recall of sedentary time: reliability, validity, and responsiveness. Clark BK; Winkler E; Healy GN; Gardiner PG; Dunstan DW; Owen N; Reeves MM Med Sci Sports Exerc; 2013 Jun; 45(6):1198-207. PubMed ID: 23274615 [TBL] [Abstract][Full Text] [Related]
16. Development and application of an automated algorithm to identify a window of consecutive days of accelerometer wear for large-scale studies. Rillamas-Sun E; Buchner DM; Di C; Evenson KR; LaCroix AZ BMC Res Notes; 2015 Jun; 8():270. PubMed ID: 26113170 [TBL] [Abstract][Full Text] [Related]
17. Differentiating Sitting and Lying Using a Thigh-Worn Accelerometer. Lyden K; John D; Dall P; Granat MH Med Sci Sports Exerc; 2016 Apr; 48(4):742-7. PubMed ID: 26516691 [TBL] [Abstract][Full Text] [Related]
18. The validation of a novel activity monitor in the measurement of posture and motion during everyday activities. Grant PM; Ryan CG; Tigbe WW; Granat MH Br J Sports Med; 2006 Dec; 40(12):992-7. PubMed ID: 16980531 [TBL] [Abstract][Full Text] [Related]
19. 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; 27(12):1814-1823. PubMed ID: 27878845 [TBL] [Abstract][Full Text] [Related]
20. Objectively measured activity patterns among adults in residential aged care. Reid N; Eakin E; Henwood T; Keogh JW; Senior HE; Gardiner PA; Winkler E; Healy GN Int J Environ Res Public Health; 2013 Dec; 10(12):6783-98. PubMed ID: 24304508 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]