Kim K, Jergel A, Bai S, Bradley K, Karim B, Shah A
Pilot Feasibility Stud. 2023; 9(1):191.
PMID: 38001548
PMC: 10668405.
DOI: 10.1186/s40814-023-01418-8.
Mayorga-Vega D, Casado-Robles C, Guijarro-Romero S, Viciana J
Front Public Health. 2023; 11:1211237.
PMID: 37554735
PMC: 10405174.
DOI: 10.3389/fpubh.2023.1211237.
Casado-Robles C, Mayorga-Vega D, Guijarro-Romero S, Viciana J
J Sports Sci Med. 2023; 22(2):196-211.
PMID: 37293411
PMC: 10244984.
DOI: 10.52082/jssm.2023.196.
Viciana J, Casado-Robles C, Guijarro-Romero S, Mayorga-Vega D
J Sports Sci Med. 2022; 21(3):356-375.
PMID: 36157395
PMC: 9459775.
DOI: 10.52082/jssm.2022.356.
Vert A, Weber K, Thai V, Turner E, Beyer K, Cornish B
BMC Med Res Methodol. 2022; 22(1):147.
PMID: 35596151
PMC: 9123693.
DOI: 10.1186/s12874-022-01633-6.
Smartphone measurements of physical activity and fitness are associated with early trial discontinuation of patients in (hemato)oncology phase I/II clinical trials.
Douma J, Zweegman S, Alberts M, Kruyswijk S, van de Donk N, van Linde M
Support Care Cancer. 2020; 29(7):3783-3792.
PMID: 33236210
PMC: 8163675.
DOI: 10.1007/s00520-020-05902-2.
Evaluating the performance of raw and epoch non-wear algorithms using multiple accelerometers and electrocardiogram recordings.
Syed S, Morseth B, Hopstock L, Horsch A
Sci Rep. 2020; 10(1):5866.
PMID: 32246080
PMC: 7125135.
DOI: 10.1038/s41598-020-62821-2.
Is change in mental distress among adolescents predicted by sedentary behaviour or screen time? Results from the longitudinal population study The Tromsø Study: Fit Futures.
Opdal I, Morseth B, Handegard B, Lillevoll K, Nilsen W, Nielsen C
BMJ Open. 2020; 10(2):e035549.
PMID: 32054629
PMC: 7045274.
DOI: 10.1136/bmjopen-2019-035549.
Daily Step-Based Recommendations Related to Moderate-to-Vigorous Physical Activity and Sedentary Behavior in Adolescents.
Mayorga-Vega D, Casado-Robles C, Viciana J, Lopez-Fernandez I
J Sports Sci Med. 2019; 18(4):586-595.
PMID: 31827342
PMC: 6873126.
The Importance of Pedestrian Network Connectivity for Adolescent Health: A Cross-sectional Examination of Associations between Neighbourhood Built Environments and Metabolic Health in the Pacific Islands Families Birth Cohort Study.
Smith M, Obolonkin V, Plank L, Iusitini L, Forsyth E, Stewart T
Int J Environ Res Public Health. 2019; 16(18).
PMID: 31547304
PMC: 6765793.
DOI: 10.3390/ijerph16183375.
Patterns of Sedentary Behavior in the First Month After Acute Coronary Syndrome.
Duran A, Garber C, Cornelius T, Schwartz J, Diaz K
J Am Heart Assoc. 2019; 8(15):e011585.
PMID: 31364434
PMC: 6761643.
DOI: 10.1161/JAHA.118.011585.
Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling.
Ikeda E, Hinckson E, Witten K, Smith M
Int J Behav Nutr Phys Act. 2019; 16(1):32.
PMID: 30953526
PMC: 6451289.
DOI: 10.1186/s12966-019-0794-5.
Validity and Wearability of Consumer-based Fitness Trackers in Free-living Children.
Brazendale K, Decker L, Hunt E, Perry M, Brazendale A, Weaver R
Int J Exerc Sci. 2019; 12(5):471-482.
PMID: 30899354
PMC: 6413843.
DOI: 10.70252/BBTU4889.
Potential corner case cautions regarding publicly available implementations of the National Cancer Institute's nonwear/wear classification algorithm for accelerometer data.
Moore 4th H, Haydel K, Banda J, Fiterau M, Desai M, Robinson T
PLoS One. 2019; 13(12):e0210006.
PMID: 30596771
PMC: 6312247.
DOI: 10.1371/journal.pone.0210006.
Feasibility, validity and reliability of objective smartphone measurements of physical activity and fitness in patients with cancer.
Douma J, Verheul H, Buffart L
BMC Cancer. 2018; 18(1):1052.
PMID: 30373549
PMC: 6206914.
DOI: 10.1186/s12885-018-4983-4.
A comparison of 10 accelerometer non-wear time criteria and logbooks in children.
Aadland E, Andersen L, Anderssen S, Resaland G
BMC Public Health. 2018; 18(1):323.
PMID: 29510709
PMC: 5840816.
DOI: 10.1186/s12889-018-5212-4.
Associations of the perceived and objective neighborhood environment with physical activity and sedentary time in New Zealand adolescents.
Hinckson E, Cerin E, Mavoa S, Smith M, Badland H, Stewart T
Int J Behav Nutr Phys Act. 2017; 14(1):145.
PMID: 29065897
PMC: 5655834.
DOI: 10.1186/s12966-017-0597-5.
What are the associations between neighbourhood walkability and sedentary time in New Zealand adults? The URBAN cross-sectional study.
Hinckson E, Cerin E, Mavoa S, Smith M, Badland H, Witten K
BMJ Open. 2017; 7(10):e016128.
PMID: 29061606
PMC: 5665326.
DOI: 10.1136/bmjopen-2017-016128.
24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information.
Jaeschke L, Luzak A, Steinbrecher A, Jeran S, Ferland M, Linkohr B
Sci Rep. 2017; 7(1):2227.
PMID: 28533553
PMC: 5440390.
DOI: 10.1038/s41598-017-01092-w.
Accelerometer data treatment for adolescents: Fitting a piece of the puzzle.
Smith M, Taylor S, Iusitini L, Stewart T, Savila F, Tautolo E
Prev Med Rep. 2017; 5:228-231.
PMID: 28101444
PMC: 5241576.
DOI: 10.1016/j.pmedr.2016.12.010.