Statistical approach for the estimation of daily physical activity levels using the probability density function of heart rate

1989 ◽  
Vol 11 (4) ◽  
pp. 315-319 ◽  
Author(s):  
K Mita ◽  
K Akataki ◽  
T Miyagawa ◽  
K Koyama ◽  
N Ishida
1993 ◽  
Vol 5 (4) ◽  
pp. 357-366 ◽  
Author(s):  
Hazzaa M. Al-Hazzaa ◽  
Mohammed A. Sulaiman

The present study examined the relationship between maximal oxygen uptake (V̇O2max) and daily physical activity in a group of 7- to 12-year-old boys. V̇O2max was assessed through the incremental treadmill test using an open circuit system. Physical activity level was obtained from heart rate telemetry outside of school time for 8 hrs during weekdays and during 40 min of physical education classes. The findings indicated that the absolute value of V̇O2max increased with age, while relative to body weight it remained almost the same across age, with a mean of 48.4 ml · kg−1 · min−1. Moreover, heart rate telemetry showed that the boys spent a limited amount of time on activities that raise the heart rate to a level above 160 bpm (an average of 1.9%). In addition, V̇O2max was found to be significantly related to the percentage of time spent at activity levels at or above a heart rate of 140 bpm, but not with activity levels at or above a heart rate of 160 bpm.


2009 ◽  
Vol 26 (3) ◽  
pp. 220-235 ◽  
Author(s):  
So-Yeun Kim ◽  
Joonkoo Yun

This study examined sources of variability in physical activity (PA) of youth with developmental disabilities (DD), and determined the optimal number of days required for monitoring PA. Sixteen youth with DD wore two pedometers and two accelerometers for 9 days, including 5 weekdays (W) and 2 weekends (WK). A two-facet in fully crossed two-way ANOVAs were employed to estimate sources of variability across W, WK, and W and WK combined (WWK) for each device. Primary sources of variability were the person and the person by day interaction for both devices. Using a pedometer, four, six, and eight days of measurements were required to determine typical PA levels of the participants during W, WK, and WWK, respectively. Using one accelerometer, four days of measurements were estimated across all days.


Author(s):  
Yaira Barranco-Ruiz ◽  
Alfredo Guevara-Paz ◽  
Robinson Ramírez-Vélez ◽  
Palma Chillón ◽  
Emilio Villa-González

Active commuting to and from school (ACS) could help to increase daily physical activity levels in youth; however, this association remains unknown in Ecuadorian youth. Thus, the aims of this study were (1) to determine the patterns of commuting to and from school and (2) to analyze the associations between ACS, physical activity (PA), and sedentary habits in Ecuadorian youth. A total of 732 students (65.3% males), aged 10–18 years (children = 246, young adolescents = 310, older adolescents = 162) from the central region of Ecuador participated in this study. A self-report questionnaire, including the usual mode and frequency of commuting, distance from home to school (PACO-Questionnaire), and PA and sedentary habits (YAP-Questionnaire), was used. Most of the sample lived ≤2 km from school; however, they were mainly passive commuters (96%). The most common mode of commuting was by car (to school = 43.4%, from school = 31.6%; p < 0.001). Children presented significantly higher scores (0–4) in PA outside school and total PA compared with older adolescents (2.20 ± 0.97 vs. 1.97 ± 0.96; p = 0.013 and 2.30 ± 0.76 vs. 2.09 ± 0.74, p = 0.019, respectively), as well as the lowest scores in sedentary habits (1.51 ± 0.65, p < 0.001). PA at school and total PA were positively associated with ACS (OR 3.137; 95% CI, 1.918 to 5.131; p < 0.001, and OR 2.543; 95% CI, 1.428 to 4.527; p = 0.002, respectively). In conclusion, passive modes of transportation were the most frequently used to commute to and from school in young Ecuadorians. PA at school and total PA were positively associated with ACS. Thus, interventions at school setting could be an opportunity to improve PA levels and additionally ACS in youth from the central region of Ecuador.


1998 ◽  
Vol 30 (Supplement) ◽  
pp. 172 ◽  
Author(s):  
C. E. Matthews ◽  
J. R. Hebert ◽  
P. S. Freedson ◽  
E. Stanek ◽  
I. S. Ockene ◽  
...  

2019 ◽  
Vol 28 (154) ◽  
pp. 190039 ◽  
Author(s):  
Matthew Armstrong ◽  
Andrew Winnard ◽  
Nikolaos Chynkiamis ◽  
Spencer Boyle ◽  
Chris Burtin ◽  
...  

The aim of this study was to examine the use of pedometers as a tool to promote daily physical activity levels in patients with COPD.A systematic review meta-analysis of pedometer physical activity promotion in patients with COPD was conducted. Medline/PubMed, Cochrane Library, Web of Science and CINAHL were searched from inception to January 2019. The search strategy included the following keywords: physical activity promotion, pulmonary rehabilitation and daily physical activity. The eligibility criteria for selecting studies were randomised controlled trials reporting pedometer physical activity promotion in patients with COPD.Improvements in steps per day were found with pedometer physical activity promotion either standalone (n=12, mean 0.53 (95% CI 0.29–0.77); p=0.00001) or alongside pulmonary rehabilitation (n=7, 0.51 (0.13–0.88); p=0.006). A subgroup analysis reported significant differences in the promotion of physical activity based on baseline physical activity levels and the type of instrument used to assess levels of physical activity.Future trials should consider the way in which pedometers are used to promote physical activity to inform clinical practice in the setting of pulmonary rehabilitation.


2018 ◽  
Vol 7 (9) ◽  
pp. 268 ◽  
Author(s):  
Jungyun Hwang ◽  
Austin Fernandez ◽  
Amy Lu

We assessed the agreement of two ActiGraph activity monitors (wGT3X vs. GT9X) placed at the hip and the wrist and determined an appropriate epoch length for physical activity levels in an exergaming setting. Forty-seven young adults played a 30-min exergame while wearing wGT3X and GT9X on both hip and wrist placement sites and a heart rate sensor below the chest. Intraclass correlation coefficient indicated that intermonitor agreement in steps and activity counts was excellent on the hip and good on the wrist. Bland-Altman plots indicated good intermonitor agreement in the steps and activity counts on both placement sites but a significant intermonitor difference was detected in steps on the wrist. Time spent in sedentary and physical activity intensity levels varied across six epoch lengths and depended on the placement sites, whereas time spent from a 1-s epoch of the hip-worn monitors most accurately matched the relative exercise intensity by heart rate. Hip placement site was associated with better step-counting accuracy for both activity monitors and more valid estimation of physical activity levels. A 1-s epoch was the most appropriate epoch length to detect short bursts of intense physical activity and may be the best choice for data processing and analysis in exergaming studies examining intermittent physical activities.


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