Physical Activity Dimensions and Sleep Characteristics Objectively Measured in Eight Year Olds

2.50
Hdl Handle:
http://hdl.handle.net/10755/160957
Type:
Presentation
Title:
Physical Activity Dimensions and Sleep Characteristics Objectively Measured in Eight Year Olds
Abstract:
Physical Activity Dimensions and Sleep Characteristics Objectively Measured in Eight Year Olds
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2010
Author:Harrington, Susan, MSN, PhDc
P.I. Institution Name:Wayne State University
Contact Address:2695 Mercury Drive, Lake Orion, MI, 48360, USA
Contact Telephone:248-802-6152
Co-Authors:S. Harrington, College of Nursing, Wayne State University, Detroit, MI;
Research continues to show the health benefits related to adequate physical activity and sleep requirements in children. However, current recommendations are not based on a substantial body of empirical evidence, but rather on a culmination of self-reports. For this purpose, a feasibility study using the new ActiGraph triaxial accelerometer has been conducted. The monitor was worn in one of three randomly chosen sites (waist, wrist, and ankle) continuously for 7days / 24 hours per day. Activity intensities, frequencies and durations and sleep durations, latencies and efficiencies were objectively measured in 30 second epochs in this homogenous cohort (n=15) of eight year old children. This descriptive design also includes qualitative surveys completed by the children related to demographic characteristics, subjective recall of activities, and feedback on the experience of wearing the motion sensor 24/7. In addition to determining the best techniques for standardization and achievability of physical activity and sleep data collection in eight year olds, the signals/counts from the accelerometers will be evaluated for significance of activity levels, usability in translation into a biological variable (energy expenditure), and pattern implications of circadian activity. Canonical correlation analysis will be used. This measures the strength of the overall relationships between the linear composites of two sets of variables. It is a multivariate statistical model that facilitates the study of interrelationship among sets of multiple dependent variables and multiple independent variables. The accurate measurement of physical activity and sleep in children is essential for research studies in which these variables are the outcomes of interest. The analysis, cumulatively or synergistically, of physical activity dimensions and sleep characteristics lend a new outlook on the analysis and implications of this circadian cycle in an ecological framework. This pilot will add valuable objective information to the consequences and inferences of physical activity and sleep on psychosocial indicators. Data for this study has been gathered. Data analysis is currently underway: anticipated completion by year end, 2009, per grant requirements.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePhysical Activity Dimensions and Sleep Characteristics Objectively Measured in Eight Year Oldsen_GB
dc.identifier.urihttp://hdl.handle.net/10755/160957-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Physical Activity Dimensions and Sleep Characteristics Objectively Measured in Eight Year Olds</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2010</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Harrington, Susan, MSN, PhDc</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Wayne State University</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">2695 Mercury Drive, Lake Orion, MI, 48360, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">248-802-6152</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">az8514@wayne.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">S. Harrington, College of Nursing, Wayne State University, Detroit, MI;</td></tr><tr><td colspan="2" class="item-abstract">Research continues to show the health benefits related to adequate physical activity and sleep requirements in children. However, current recommendations are not based on a substantial body of empirical evidence, but rather on a culmination of self-reports. For this purpose, a feasibility study using the new ActiGraph triaxial accelerometer has been conducted. The monitor was worn in one of three randomly chosen sites (waist, wrist, and ankle) continuously for 7days / 24 hours per day. Activity intensities, frequencies and durations and sleep durations, latencies and efficiencies were objectively measured in 30 second epochs in this homogenous cohort (n=15) of eight year old children. This descriptive design also includes qualitative surveys completed by the children related to demographic characteristics, subjective recall of activities, and feedback on the experience of wearing the motion sensor 24/7. In addition to determining the best techniques for standardization and achievability of physical activity and sleep data collection in eight year olds, the signals/counts from the accelerometers will be evaluated for significance of activity levels, usability in translation into a biological variable (energy expenditure), and pattern implications of circadian activity. Canonical correlation analysis will be used. This measures the strength of the overall relationships between the linear composites of two sets of variables. It is a multivariate statistical model that facilitates the study of interrelationship among sets of multiple dependent variables and multiple independent variables. The accurate measurement of physical activity and sleep in children is essential for research studies in which these variables are the outcomes of interest. The analysis, cumulatively or synergistically, of physical activity dimensions and sleep characteristics lend a new outlook on the analysis and implications of this circadian cycle in an ecological framework. This pilot will add valuable objective information to the consequences and inferences of physical activity and sleep on psychosocial indicators. Data for this study has been gathered. Data analysis is currently underway: anticipated completion by year end, 2009, per grant requirements.</td></tr></table>en_GB
dc.date.available2011-10-26T23:13:32Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T23:13:32Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.