The relationship between cumulative low back loads and heart rate determined physical activity level during non-occupational tasks.

Date of Award


Publication Type

Master Thesis

Degree Name




First Advisor

Andrews, D.


Health Sciences, Recreation.



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


The aim of this study was to quantify the relationship between heart rate determined physical activity levels (HR-PAL), and estimates of cumulative low back loads estimated from video records of non-occupational activities. Subjects were videotaped while performing self-determined, non-occupational activities within their own homes, for a period of 2 hours. Subject HR was continuously recorded during the data collection period. The 2-hour HR profile, along with subjects' height, mass, age, gender, and median sitting HR, were used as inputs into a regression-based mathematical model to estimate HR-PAL. The video data were captured to digital format at 3 samples/sec; the video was trimmed to match the heart rate file, and each task was then trimmed out into separate video image clips. The video clips were analyzed with the 3-D Match video analysis tool. At an alpha level of 0.05, quadratic regression equations were able to account for a significant amount of variance in cumulative compression force (R2 = 0.817), cumulative flexion moment (R2 = 0.757), and cumulative right axial twist moment (R2 = 0.769). (Abstract shortened by UMI.) Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .A93. Source: Masters Abstracts International, Volume: 43-01, page: 0204. Adviser: David Andrews. Thesis (M.H.K.)--University of Windsor (Canada), 2004.