» Articles » PMID: 12972884

Estimating Physical Activity Using the CSA Accelerometer and a Physical Activity Log

Overview
Specialty Orthopedics
Date 2003 Sep 16
PMID 12972884
Citations 28
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To compare two methods for measuring time spent in physical activity of differing absolute intensities.

Methods: Over a 7-d period, 59 women wore Computer Science and Applications, Inc. (CSA) accelerometers and recorded their activity in physical activity logs (PAL) at 15-min intervals. Three published cut points were used to classify CSA data into resting/light, moderate, and vigorous intensity categories. Data were analyzed using descriptive statistics, Spearman rank-order correlations, and Bland-Altman plots.

Results: The CSA estimates of total (moderate plus vigorous) physical activity using the three cut points ranged from a mean (+/- SD) of 38.1 (+/-26.8) min.d-1 to 312.6 (+/- 101.1) min.d-1. Using the PAL, women self-reported a mean (+/- SD) of 75.1 (+/- 51.7) min.d-1 of total activity. There was fair to modest rank-order agreement between each of the three CSA measures and the PAL measure of total activity, with correlations ranging from r = 0.15 to 0.24. Correlations between CSA and PAL estimates of total activity were higher in women with body mass index values (BMI) below 25 kg.m-2 (r = 0.23-0.38) compared with women with BMI > or = 25 kg.m-2 (r = 0.06-0.08) but did not differ according to age. Correlations between the three CSA cut points ranged from r = 0.45 to 0.86.

Conclusions: Three published cut points designed to classify CSA output by intensity level produced different estimates of physical activity participation. Correlations between CSA and PAL measures of activity intensity were fair overall but higher among leaner women.

Citing Articles

Physical activity of children and adolescents who use a wheelchair: a systematic review.

Seemuller S, Beck F, Reimers A BMC Public Health. 2023; 23(1):2479.

PMID: 38082282 PMC: 10714460. DOI: 10.1186/s12889-023-17201-6.


Effects of a multicomponent physical exercise programme on perceived health-related quality of life and on depressive symptoms in older adults living in long-term nursing homes.

Ugartemendia-Yerobi M, Kortajarena M, Elordi U, Zinkunegi-Zubizarreta N, Zarrazquin I, Calvo-Aguirre J Int J Nurs Sci. 2023; 10(1):16-22.

PMID: 36860716 PMC: 9969169. DOI: 10.1016/j.ijnss.2022.12.015.


Associations Between Physical Fitness, Objectively Measured Physical Activity and Academic Performance.

uric S, Bogataj S, Zovko V, Sember V Front Public Health. 2021; 9:778837.

PMID: 34957029 PMC: 8695801. DOI: 10.3389/fpubh.2021.778837.


Correlation between Accelerometer and Questionnaire-Based Assessment of Physical Activity in Patients with Cerebral Palsy.

Kwon K, Choi Y, Sung K, Chung C, Lee K, Kwon S Clin Orthop Surg. 2020; 12(1):107-112.

PMID: 32117546 PMC: 7031426. DOI: 10.4055/cios.2020.12.1.107.


Do teenagers return to normal physical activity levels after limb fractures? A longitudinal, accelerometry-based, activity monitoring study.

Maggio A, Martin X, Steiger C, Tabard-Fougere A, Dayer R, Delhumeau C J Child Orthop. 2020; 13(6):575-581.

PMID: 31908674 PMC: 6924123. DOI: 10.1302/1863-2548.13.190082.