Wang L, Luo Z, Zhang T
BMC Biomed Eng. 2025; 7(1):2.
PMID: 39891283
PMC: 11786420.
DOI: 10.1186/s42490-025-00088-2.
Rowlands A, Kingsnorth A, Hansen B, Fairclough S, Boddy L, Maylor B
J Sport Health Sci. 2024; 14:100977.
PMID: 39237061
PMC: 11863282.
DOI: 10.1016/j.jshs.2024.100977.
Brailey G, Metcalf B, Price L, Cumming S, Rowlands A, Olds T
Eur J Sport Sci. 2024; 24(7):987-998.
PMID: 38956788
PMC: 11235707.
DOI: 10.1002/ejsc.12122.
Darkhawaja R, Hanggi J, Bringolf-Isler B, Kayser B, Suggs L, Kwiatkowski M
PLoS One. 2024; 19(5):e0298890.
PMID: 38820541
PMC: 11142694.
DOI: 10.1371/journal.pone.0298890.
Brady S, Salway R, Mariapun J, Millard L, Ramadas A, Rizal H
PLoS One. 2024; 19(2):e0297102.
PMID: 38377079
PMC: 10878504.
DOI: 10.1371/journal.pone.0297102.
Calibration of the Online Youth Activity Profile Assessment for School-Based Applications.
Welk G, Saint-Maurice P, Dixon P, Hibbing P, Bai Y, McLoughlin G
J Meas Phys Behav. 2024; 4(3):236-246.
PMID: 38223785
PMC: 10785831.
DOI: 10.1123/jmpb.2020-0048.
Associations between motor competence and physical activity levels of children with intellectual disabilities and/or autism spectrum disorder: Movement matters.
Taylor S, Downs S, Rudd J, McGrane B, Melville C, McGarty A
J Intellect Disabil. 2023; 28(4):976-993.
PMID: 37729890
PMC: 11585179.
DOI: 10.1177/17446295231203764.
A 24-h activity profile and adiposity among children and adolescents: Does the difference between school and weekend days matter?.
Janda D, Gaba A, Vencalek O, Fairclough S, Dygryn J, Jakubec L
PLoS One. 2023; 18(5):e0285952.
PMID: 37200304
PMC: 10194946.
DOI: 10.1371/journal.pone.0285952.
Mining Sensor Data to Assess Changes in Physical Activity Behaviors in Health Interventions: Systematic Review.
Diaz C, Caillaud C, Yacef K
JMIR Med Inform. 2023; 11:e41153.
PMID: 36877559
PMC: 10028506.
DOI: 10.2196/41153.
The behavioural epidemiology of sedentary behaviour in inflammatory arthritis: where are we, and where do we need to go?.
Fenton S, OBrien C, Kitas G, Duda J, Veldhuijzen van Zanten J, Metsios G
Rheumatol Adv Pract. 2023; 7(1):rkac097.
PMID: 36699551
PMC: 9870708.
DOI: 10.1093/rap/rkac097.
Calibration of an Accelerometer Activity Index among Older Women and Its Association with Cardiometabolic Risk Factors.
Wang G, Wu S, Evenson K, Kang I, LaMonte M, Bellettiere J
J Meas Phys Behav. 2022; 5(3):145-155.
PMID: 36504675
PMC: 9733915.
DOI: 10.1123/jmpb.2021-0031.
Sociodemographic differences in 24-hour time-use behaviours in New Zealand children.
Hedayatrad L, Stewart T, Paine S, Marks E, Walker C, Duncan S
Int J Behav Nutr Phys Act. 2022; 19(1):131.
PMID: 36195954
PMC: 9531491.
DOI: 10.1186/s12966-022-01358-1.
The Physical Behaviour Intensity Spectrum and Body Mass Index in School-Aged Youth: A Compositional Analysis of Pooled Individual Participant Data.
Fairclough S, Hurter L, Dumuid D, Gaba A, Rowlands A, Del Pozo Cruz B
Int J Environ Res Public Health. 2022; 19(14).
PMID: 35886629
PMC: 9320124.
DOI: 10.3390/ijerph19148778.
Physical activity intensity profiles associated with cardiometabolic risk in middle-aged to older men and women.
Dempsey P, Aadland E, Strain T, Kvalheim O, Westgate K, Lindsay T
Prev Med. 2022; 156:106977.
PMID: 35131206
PMC: 8907866.
DOI: 10.1016/j.ypmed.2022.106977.
Metabolic health, menopause, and physical activity-a 4-year follow-up study.
Hyvarinen M, Juppi H, Taskinen S, Karppinen J, Karvinen S, Tammelin T
Int J Obes (Lond). 2021; 46(3):544-554.
PMID: 34802032
PMC: 8605777.
DOI: 10.1038/s41366-021-01022-x.
Advanced analytical methods to assess physical activity behavior using accelerometer time series: A scoping review.
Backes A, Gupta T, Schmitz S, Fagherazzi G, van Hees V, Malisoux L
Scand J Med Sci Sports. 2021; 32(1):18-44.
PMID: 34695249
PMC: 9298329.
DOI: 10.1111/sms.14085.
Physical Activity Scaled to Preferred Walking Speed as a Predictor of Walking Difficulty in Older Adults: A 2-Year Follow-up.
Karavirta L, Leppa H, Rantalainen T, Eronen J, Portegijs E, Rantanen T
J Gerontol A Biol Sci Med Sci. 2021; 77(3):597-604.
PMID: 34590115
PMC: 8893185.
DOI: 10.1093/gerona/glab277.
Day-to-Day Variability and Year-to-Year Reproducibility of Accelerometer-Measured Free-Living Sit-to-Stand Transitions Volume and Intensity among Community-Dwelling Older Adults.
Lopponen A, Karavirta L, Portegijs E, Koivunen K, Rantanen T, Finni T
Sensors (Basel). 2021; 21(18).
PMID: 34577275
PMC: 8471908.
DOI: 10.3390/s21186068.
Assessment of Physical Activity in Adults Using Wrist Accelerometers.
Liu F, Wanigatunga A, Schrack J
Epidemiol Rev. 2021; 43(1):65-93.
PMID: 34215874
PMC: 8900289.
DOI: 10.1093/epirev/mxab004.
Associations of novel 24-h accelerometer-derived metrics with adiposity in children and adolescents.
Dygryn J, Medrano M, Molina-Garcia P, Rubin L, Jakubec L, Janda D
Environ Health Prev Med. 2021; 26(1):66.
PMID: 34118885
PMC: 8199825.
DOI: 10.1186/s12199-021-00987-5.