A latent profile analysis of sedentary and physical activity patterns

2011 ◽  
Vol 20 (4) ◽  
pp. 367-373 ◽  
Author(s):  
C. K. John Wang ◽  
Stuart J. H. Biddle ◽  
Woon Chia Liu ◽  
B. S. Coral Lim
2021 ◽  
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Tiara Ratz ◽  
Claudia Voelcker-Rehage ◽  
Claudia R. Pischke ◽  
Saskia Muellmann ◽  
Manuela Peters ◽  
...  

PLoS ONE ◽  
2019 ◽  
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Kelsie M. Full ◽  
Kevin Moran ◽  
Jordan Carlson ◽  
Suneeta Godbole ◽  
Loki Natarajan ◽  
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2018 ◽  
Vol 10 ◽  
pp. 304-314 ◽  
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Tarrah B. Mitchell ◽  
Jordan A. Carlson ◽  
Jacqueline Kerr ◽  
Brian E. Saelens ◽  
...  

2011 ◽  
Vol 52 (5) ◽  
pp. 326-331 ◽  
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Marc A. Adams ◽  
James F. Sallis ◽  
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2011 ◽  
Vol 20 (1) ◽  
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Ole Melkevik ◽  
Torbjørn Torsheim ◽  
Mette Rasmussen

<em><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><em><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><p align="left"><strong>Background: </strong></p></span></span></em></span></span></em><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">Physical activity and screen based sedentary behaviors are both related to energy balance and to risk for becoming overweight. The aim of this study is to find out if these behaviors cluster together in order to find out whether groups of adolescents have particularly unfortunate levels of both physical activity and screen-based sedentary behaviors.<strong> </strong></span></span><em><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><strong>Methods: </strong></span></span></em><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">Data are from the Norwegian 2005/2006 sample of the international "Health Behaviour in School-aged Children (HBSC) study; A WHO cross-National Survey". Data were collected through questionnaires from 13-, 15- and 16-year-olds. The final sample included 4848 adolescents. Gender-stratified latent profile analysis was used to identify the different profiles.<strong> </strong></span></span><em><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><strong>Results:</strong> </span></span></em><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">Six profiles were identified for both boys and girls. Less than 30% of adolescents were found to have behavioral patterns which were associated with higher risk for overweight relative to the most healthy behavioral profile. Physical activity and screen-based sedentary behaviors cluster together in different ways suggesting independence between the behaviors. Low levels of physical activity was the most important predictor for overweight among boys. Screen-based sedentary behaviors were more important predictors of overweight among girls.<strong> </strong></span></span><em><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldItalicMT;"><strong>Conclusions:</strong> </span></span></em><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">Physical activity and screen-based sedentary behaviors are independent behaviors and may cluster together in manners which lead to low energy expenditure and subsequent increased risk for overweight among adolescents.</span></span>


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