The Relationship of Actigraph Accelerometer Cut-Points for Estimating Physical Activity With Selected Health Outcomes: Results From NHANES 2003–06

2012 ◽  
Vol 83 (3) ◽  
pp. 422-430 ◽  
Author(s):  
Paul D. Loprinzi ◽  
Hyo Lee ◽  
Bradley J. Cardinal ◽  
Carlos J. Crespo ◽  
Ross E. Andersen ◽  
...  
2012 ◽  
Vol 83 (3) ◽  
pp. 422-430 ◽  
Author(s):  
Paul D. Loprinzi ◽  
Hyo Lee ◽  
Bradley J. Cardinal ◽  
Carlos J. Crespo ◽  
Ross E. Andersen ◽  
...  

Author(s):  
Soyang Kwon ◽  
Kyle Honegger ◽  
Maryann Mason

Physical activity (PA) habits seem to track over time from as young as early childhood. For children under age 3 years, wearable sensor-measured PA levels have begun to be investigated. The aims of this study were to evaluate the feasibility of using hip- vs. wrist-worn accelerometers, and to report accelerometer-derived PA metrics among toddlers. A convenience sample of 22 toddlers aged 13 to 35 months and their mothers were recruited for this study. ActiGraph wGT3X-BT accelerometers were attached to wrist bands and waist belts. The mothers were asked to affix a wrist band and a waist belt to their participating children during waking hours for four days. They also completed an acceptability survey. Of the 22 toddlers, 19 (86%) had ≥ 3 valid days of hip data, while only 14 (64%) did so for wrist data (p = 0.16). In terms of acceptability, 18 mothers (82%) responded that the 4-day hip wear was easy, while only 13 (59%) responded that the 4-day wrist wear was easy (p = 0.19). Daily light-intensity PA (LPA) was on average 161 min, and daily moderate- and vigorous-intensity PA (MVPA) was on average 47 min, as determined using published hip accelerometer cut-points. There were no significant differences in LPA or MVPA by age or by sex. In conclusion, this study suggests that hip placement of an ActiGraph accelerometer is more feasible than wrist placement among toddlers.


2011 ◽  
Vol 43 (Suppl 1) ◽  
pp. 575
Author(s):  
Soung-Yob Rhi ◽  
Hak-Mo Ku ◽  
Hyun-Jin Kwon ◽  
Yeon-Soo Kim ◽  
Jae-Soon Chung ◽  
...  

1990 ◽  
Vol 7 (4) ◽  
pp. 329-346 ◽  
Author(s):  
William McTeer ◽  
James E. Curtis

This study examines the relationship between physical activity in sport and feelings of well-being, testing alternative interpretations of the relationship between these two variables. It was expected that there would be positive relationships between physical activity on the one hand and physical fitness, feelings of well-being, social interaction in the sport and exercise environment, and socioeconomic status on the other hand. It was also expected that physical fitness, social interaction, and socioeconomic status would be positively related to psychological well-being. Further, it was expected that any positive zero-order relationship of physical activity and well-being would be at least in part a result of the conjoint effects of the other variables. The analyses were conducted separately for the male and female subsamples of a large survey study of Canadian adults. The results, after controls, show a modest positive relationship of physical activity and well-being for males but no such relationship for females. The predicted independent effects of the control factors obtained for both males and females. Interpretations of the results are discussed.


2018 ◽  
Vol 23 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Tsunenori Isa ◽  
Yuya Ueda ◽  
Ryo Nakamura ◽  
Shogo Misu ◽  
Rei Ono

This study investigated the relationship of a gap between the intent to be physically active and actual participation in physical activity (‘intention–behavior gap’) and self-efficacy for physical activity during childhood. A self-report questionnaire was used to collect information from 946 children from the fourth and sixth grades in Japan on self-efficacy, intention, and physical activity. Children with an intention–behavior gap (high intent–low activity or low intent–high activity) had higher self-efficacy scores than those with low intent and low activity (27.66 or 27.65 vs. 21.69; p < .001). They had lower self-efficacy scores than those with high intent and high activity (27.66 or 27.65 vs. 30.56; p < .001). Children with an intention–behavior gap had lower self-efficacy for physical activity than those who intended to be and were physically active. Such children may benefit from education interventions that focus on improving self-efficacy.


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