Type

Journal Article

Authors

Dana Epstein
Alan F. Smeaton
Eamonn Newman
Feiyan Hu
Matt Buman

Subjects

Physiotherapy & Sport

Topics
physical activity health related quality of life health risk health lifelog biomechanics cholesterol ldl periodicity detection

Behavioral periodicity detection from 24h wrist accelerometry and associations with cardiometabolic risk and health-related quality of life (2016)

Abstract Periodicities (repeating patterns) are observed in many human behaviors. Their strength may capture untapped patterns that incorporate sleep, sedentary, and active behaviors into a single metric indicative of better health. We present a framework to detect periodicities from longitudinal wrist-worn accelerometry data. GENEActiv accelerometer data were collected from 20 participants (17 men, 3 women, aged 35–65) continuously for (range: 13.9 to 102.0) consecutive days. Cardiometabolic risk biomarkers and health-related quality of life metrics were assessed at baseline. Periodograms were constructed to determine patterns emergent from the accelerometer data. Periodicity strength was calculated using circular autocorrelations for time-lagged windows. The most notable periodicity was at 24 h, indicating a circadian rest-activity cycle; however, its strength varied significantly across participants. Periodicity strength was most consistently associated with LDL-cholesterol (’s = 0.40–0.79, ’s < 0.05) and triglycerides (’s = 0.68–0.86, ’s < 0.05) but also associated with hs-CRP and health-related quality of life, even after adjusting for demographics and self-rated physical activity and insomnia symptoms. Our framework demonstrates a new method for characterizing behavior patterns longitudinally which captures relationships between 24 h accelerometry data and health outcomes.
Collections Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Medical Sciences: Biomechanics
Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> Subject = Medical Sciences: Health
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Lifelog
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics

Full list of authors on original publication

Dana Epstein, Alan F. Smeaton, Eamonn Newman, Feiyan Hu, Matt Buman

Experts in our system

1
Dana R. Epstein
Dublin City University
Total Publications: 3
 
2
Alan F. Smeaton
Dublin City University
Total Publications: 492
 
3
Eamonn Newman
Dublin City University
Total Publications: 28
 
4
Feiyan Hu
Dublin City University
Total Publications: 16