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Socio-Ecological Predictors of Physi...
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Arreola, Tammy,
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Socio-Ecological Predictors of Physical Activity and Sedentary Behavior Among University Students /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Socio-Ecological Predictors of Physical Activity and Sedentary Behavior Among University Students // Tammy Arreola.
作者:
Arreola, Tammy,
面頁冊數:
1 electronic resource (192 pages)
附註:
Source: Dissertations Abstracts International, Volume: 87-05, Section: A.
Contained By:
Dissertations Abstracts International87-05A.
標題:
Physical education. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32040705
ISBN:
9798297991095
Socio-Ecological Predictors of Physical Activity and Sedentary Behavior Among University Students /
Arreola, Tammy,
Socio-Ecological Predictors of Physical Activity and Sedentary Behavior Among University Students /
Tammy Arreola. - 1 electronic resource (192 pages)
Source: Dissertations Abstracts International, Volume: 87-05, Section: A.
Guided by the socio-ecological model (SEM), this study examined how individual, social, and physical environmental factors predict physical activity (PA) and sedentary behavior (SB) among university students. It also explored how students spend time across various domains of SB. Using a quantitative, cross-sectional design, 217 full-time students (Mage = 19.8 ± 1.46; 53% female) from a small university in the Texas hill country completed validated questionnaires assessing PA, SB, self-efficacy, social support, environmental perceptions, and perception of university PA course requirements. Correlation and hierarchical regression analyses were conducted to evaluate associations and the relative predictive strength of SEM-based variables. Results showed 88.5% of students met aerobic PA guidelines, 64.1% met aerobic and muscle-strengthening guidelines, and 74.2% achieved MVPA levels sufficient to offset SB risks. Students reported spending one to three hours daily on screen-based activities and watching TV/movies. Vigorous PA was predicted by athletic status, self-efficacy, ethnicity, and family rewards (p < .05), while moderate PA was predicted by athletic status and family rewards (p < .05). Housing and employment status significantly influenced light PA (p < .05). These findings underscore the multi-level influences on PA and SB behaviors, supporting the SEM framework. Effective interventions should promote PA while addressing sedentary time, and future research should adopt multi-component approaches that consider the broader context in which students live, study, and work. Additional exploration into the roles of family versus peer support, cultural factors, campus design, and daily routines may further inform strategies to promote healthy activity patterns in university populations.
English
ISBN: 9798297991095Subjects--Topical Terms:
635343
Physical education.
Subjects--Index Terms:
Exercise
Socio-Ecological Predictors of Physical Activity and Sedentary Behavior Among University Students /
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Guided by the socio-ecological model (SEM), this study examined how individual, social, and physical environmental factors predict physical activity (PA) and sedentary behavior (SB) among university students. It also explored how students spend time across various domains of SB. Using a quantitative, cross-sectional design, 217 full-time students (Mage = 19.8 ± 1.46; 53% female) from a small university in the Texas hill country completed validated questionnaires assessing PA, SB, self-efficacy, social support, environmental perceptions, and perception of university PA course requirements. Correlation and hierarchical regression analyses were conducted to evaluate associations and the relative predictive strength of SEM-based variables. Results showed 88.5% of students met aerobic PA guidelines, 64.1% met aerobic and muscle-strengthening guidelines, and 74.2% achieved MVPA levels sufficient to offset SB risks. Students reported spending one to three hours daily on screen-based activities and watching TV/movies. Vigorous PA was predicted by athletic status, self-efficacy, ethnicity, and family rewards (p < .05), while moderate PA was predicted by athletic status and family rewards (p < .05). Housing and employment status significantly influenced light PA (p < .05). These findings underscore the multi-level influences on PA and SB behaviors, supporting the SEM framework. Effective interventions should promote PA while addressing sedentary time, and future research should adopt multi-component approaches that consider the broader context in which students live, study, and work. Additional exploration into the roles of family versus peer support, cultural factors, campus design, and daily routines may further inform strategies to promote healthy activity patterns in university populations.
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