The Influence of Wanting to Look Like Media Figures on Adolescent Physical Activity

2006 ◽  
Vol 2006 ◽  
pp. 16-17
Author(s):  
J.A. Stockman
2012 ◽  
Vol 5 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Susan C. Duncan ◽  
John R. Seeley ◽  
Jeff M. Gau ◽  
Lisa A. Strycker ◽  
Richard F. Farmer

2009 ◽  
Vol 14 (2) ◽  
pp. 313-325 ◽  
Author(s):  
Scott C. Roesch ◽  
Gregory J. Norman ◽  
Marc A. Adams ◽  
Jacqueline Kerr ◽  
James F. Sallis ◽  
...  

2020 ◽  
Vol 54 ◽  
pp. 113
Author(s):  
Raina Jansen Cutrim Propp Lima ◽  
Rosângela Fernandes Lucena Batista ◽  
Cecília Claudia Costa Ribeiro ◽  
Vanda Maria Ferreira Simões

OBJECTIVE: To analyze the effects of early determinants on adolescent fat-free mass. METHODS: A c ohort s tudy w ith 5 79 a dolescents e valuated a t b irth a nd a dolescence i n a birth cohort in São Luís, Maranhão. In the proposed model, estimated by structural equation modeling, socioeconomic status (SES) at birth, maternal age, pregestational body mass index (BMI), gestational smoking, gestational weight gain, type of delivery, gestational age, sex of the newborn, length and weight at birth, adolescent socioeconomic status, “neither study/nor work” generation, adolescent physical activity level and alcohol consumption were tested as early determinants of adolescent fat-free mass (FFM). RESULTS: A higher pregestational BMI resulted in higher FFM in adolescence (Standardized Coefficient, SC = 0.152; p < 0.001). Being female implied a lower FFM in adolescence (SC = -0.633; p < 0.001). The negative effect of gender on FFM was direct (SC = -0.523; p < 0.001), but there was an indirect negative effect via physical activity level (SC = -0.085; p < 0.001). Women were less active (p < 0.001). An increase of 0.5 kg (1 Standard Deviation, SD) in birth weight led to a gain of 0.25 kg/m2 (0.106 SD) in adolescent FFM index (p = 0.034). Not studying or working had a negative effect on the adolescent’s FFM (SC = -0.106; p = 0.015). Elevation of 1 SD in the adolescent’s physical activity level represented an increase of 0.5 kg/m2 (0.207 SD) in FFM index (p < 0.001). CONCLUSIONS: The early determinants with the greatest effects on adolescent FFM are gender, adolescent physical activity level, pregestational BMI, birth weight and belonging to the “neither-nor” generation.


2005 ◽  
Vol 28 (3) ◽  
pp. 259-266 ◽  
Author(s):  
Melissa C. Nelson ◽  
Penny Gordon-Larsen ◽  
Linda S. Adair ◽  
Barry M. Popkin

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