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Social Ecological Predictors of Leis...

Miro, Danielle.

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Social Ecological Predictors of Leisure Time Physical Activity.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Social Ecological Predictors of Leisure Time Physical Activity./
作者:	Miro, Danielle.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	27 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Contained By:	Dissertation Abstracts International79-04B(E).
標題:	Counseling Psychology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10669669
ISBN:	9780355359633

Social Ecological Predictors of Leisure Time Physical Activity.
Miro, Danielle.

Social Ecological Predictors of Leisure Time Physical Activity. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 27 p.

Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.

Thesis (Ph.D.)--The University of Memphis, 2017.

Background: Physical inactivity is a leading cause of death in the United States and smokers are more at risk to be physically inactive. Physical activity interventions can be one-dimensional and not attend to co-occurring variables that may impact health behaviors. This study examined interrelationships among social ecological variables and identified subgroups of individuals based on their engagement in leisure time physical activity (LTPA) six months after randomization into the comparison arm of a clinical trial for persons trying to quit smoking and not gain weight.

ISBN: 9780355359633Subjects--Topical Terms:

2122842
Counseling Psychology.

Social Ecological Predictors of Leisure Time Physical Activity.
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500 $a Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
500 $a Adviser: Suzanne Lease.
502 $a Thesis (Ph.D.)--The University of Memphis, 2017.
520 $a Background: Physical inactivity is a leading cause of death in the United States and smokers are more at risk to be physically inactive. Physical activity interventions can be one-dimensional and not attend to co-occurring variables that may impact health behaviors. This study examined interrelationships among social ecological variables and identified subgroups of individuals based on their engagement in leisure time physical activity (LTPA) six months after randomization into the comparison arm of a clinical trial for persons trying to quit smoking and not gain weight.
520 $a Methods: Classification and regression trees (CART) analyses were conducted to form subgroups of individuals based on their level of LTPA within a social ecological framework.
520 $a Results: Important variables identified by CART included neighborhood accessibility, occupational physical activity, sleep, age, and neighborhood safety.
520 $a Conclusions: Findings from this study indicate that addressing the interactive nature of important, co-occurring variables on a person's LTPA may aid in the development of empirically-driven interventions.
590 $a School code: 1194.
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