Spatial Variation of Exercise Behaviors: An application of spatial statistical methods to community exercise survey data

2.50
Hdl Handle:
http://hdl.handle.net/10755/158338
Type:
Presentation
Title:
Spatial Variation of Exercise Behaviors: An application of spatial statistical methods to community exercise survey data
Abstract:
Spatial Variation of Exercise Behaviors: An application of spatial statistical methods to community exercise survey data
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2006
Author:Park, Chang, PhD
P.I. Institution Name:University of Illinois at Chicago
Title:Research Analyst
Contact Address:CON - Office of Global Health Leadership, 845 South Damen Avenue, Chicago, IL, 60612, USA
Contact Telephone:312)996-7058
Co-Authors:Beverly J. McElmurry, EdD, FAAN and Linda L McCreary, PhD, RN, Assistant Professor
Promoting exercise has been considered a critical means to reduce the high prevalence of obesity and chronic disease like diabetes and cardiovascular disease. The identification of factors & neighborhood areas related to exercise activities through community survey is a critical step to design, implementation and monitoring of effective community based exercise program. This study examined the contributing factors of diverse types of exercise utilizing recently developed GIS technologies and spatial statistical methods.

DESIGN/METHODS: Data: A community exercise survey data was used. Geographical information system (GIS) techniques were applied to estimate proximity to the neighborhood facilities and establish data necessary for the spatial statistical methods.

Methods: The recent developments of GIS technology and spatial statistical methods were applied for analyzing the exercise survey data. Generalized Additive Model (GAM) with geographical smoothing (Geoadditive Model) was applied to identify significant factors and significant neighborhoods.

Results: Age, gender, neighborhood safety and perceived exercise needs were significant for walk and dance. Employment status was significant factor for swimming and bicycling. Proximity to neighborhood facilities was not significant for any type of exercise, however, swimming and gardening showed significant spatial variations after adjusting covariates.

Conclusion and implications: The significantly factors of exercise patterns were identified with the spatial variation of some exercise types. For the exercise groups showing spatial variations, the unique neighborhood characteristics must be considered in exercise program design, implementation and evaluation.

Significance of this study: Learn the application of GIS techniques and spatial statistical methods for in-depth evaluation of community survey data Demonstration of advantages and disadvantages of the application of traditional geostatistical methods and geoadditive model.
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.titleSpatial Variation of Exercise Behaviors: An application of spatial statistical methods to community exercise survey dataen_GB
dc.identifier.urihttp://hdl.handle.net/10755/158338-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Spatial Variation of Exercise Behaviors: An application of spatial statistical methods to community exercise survey data</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">2006</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Park, Chang, PhD</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Illinois at Chicago</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Research Analyst</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">CON - Office of Global Health Leadership, 845 South Damen Avenue, Chicago, IL, 60612, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">312)996-7058</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">parkcg@uic.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Beverly J. McElmurry, EdD, FAAN and Linda L McCreary, PhD, RN, Assistant Professor</td></tr><tr><td colspan="2" class="item-abstract">Promoting exercise has been considered a critical means to reduce the high prevalence of obesity and chronic disease like diabetes and cardiovascular disease. The identification of factors &amp; neighborhood areas related to exercise activities through community survey is a critical step to design, implementation and monitoring of effective community based exercise program. This study examined the contributing factors of diverse types of exercise utilizing recently developed GIS technologies and spatial statistical methods.<br/><br/>DESIGN/METHODS: Data: A community exercise survey data was used. Geographical information system (GIS) techniques were applied to estimate proximity to the neighborhood facilities and establish data necessary for the spatial statistical methods. <br/><br/>Methods: The recent developments of GIS technology and spatial statistical methods were applied for analyzing the exercise survey data. Generalized Additive Model (GAM) with geographical smoothing (Geoadditive Model) was applied to identify significant factors and significant neighborhoods. <br/><br/>Results: Age, gender, neighborhood safety and perceived exercise needs were significant for walk and dance. Employment status was significant factor for swimming and bicycling. Proximity to neighborhood facilities was not significant for any type of exercise, however, swimming and gardening showed significant spatial variations after adjusting covariates.<br/><br/>Conclusion and implications: The significantly factors of exercise patterns were identified with the spatial variation of some exercise types. For the exercise groups showing spatial variations, the unique neighborhood characteristics must be considered in exercise program design, implementation and evaluation.<br/><br/>Significance of this study: Learn the application of GIS techniques and spatial statistical methods for in-depth evaluation of community survey data Demonstration of advantages and disadvantages of the application of traditional geostatistical methods and geoadditive model.</td></tr></table>en_GB
dc.date.available2011-10-26T20:57:05Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T20:57:05Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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