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
Keyword(s):  
Physical Activity ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Activity Patterns ◽  
Physical Activity Patterns ◽  
Latent Profile

Health-related lifestyle and dropout from a web-based physical activity intervention trial in older adults: A latent profile analysis.

2021 ◽  
Vol 40 (8) ◽  
pp. 481-490
Author(s):  
Tiara Ratz ◽  
Claudia Voelcker-Rehage ◽  
Claudia R. Pischke ◽  
Saskia Muellmann ◽  
Manuela Peters ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Latent Profile Analysis ◽  
Physical Activity Intervention ◽  
Profile Analysis ◽  
Intervention Trial ◽  
Web Based ◽  
Health Related ◽  
Latent Profile

scholarly journals Latent profile analysis of accelerometer-measured sleep, physical activity, and sedentary time and differences in health characteristics in adult women

PLoS ONE ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. e0218595 ◽  
Author(s):  
Kelsie M. Full ◽  
Kevin Moran ◽  
Jordan Carlson ◽  
Suneeta Godbole ◽  
Loki Natarajan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Profile Analysis ◽  
Sedentary Time ◽  
Profile Analysis ◽  
Adult Women ◽  
Latent Profile

scholarly journals Latent profile analysis of young adolescents’ physical activity across locations on schooldays

2018 ◽  
Vol 10 ◽  
pp. 304-314 ◽  
Author(s):  
Kelsey B. Borner ◽  
Tarrah B. Mitchell ◽  
Jordan A. Carlson ◽  
Jacqueline Kerr ◽  
Brian E. Saelens ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Young Adolescents ◽  
Latent Profile

scholarly journals Neighborhood environment profiles related to physical activity and weight status: A latent profile analysis

2011 ◽  
Vol 52 (5) ◽  
pp. 326-331 ◽  
Author(s):  
Marc A. Adams ◽  
James F. Sallis ◽  
Jacqueline Kerr ◽  
Terry L. Conway ◽  
Brian E. Saelens ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Status ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Neighborhood Environment ◽  
Latent Profile

scholarly journals Patterns of screen-based sedentary behavior and physical activity and associations with overweight among Norwegian adolescents: a latent profile approach

2011 ◽  
Vol 20 (1) ◽  
Author(s):  
Ole Melkevik ◽  
Torbjørn Torsheim ◽  
Mette Rasmussen
Keyword(s):  
Physical Activity ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
International Health ◽  
Sedentary Behaviors ◽  
Font Size ◽  
School Aged Children ◽  
Final Sample ◽  
Increased Risk ◽  
Latent Profile

<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>

Sign in / Sign up

Export Citation Format

Share Document