Family Matters: Specific Type(s) of Family Support in Adolescent Physical Activity Levels

2011 ◽  
Vol 43 (Suppl 1) ◽  
pp. 910
Author(s):  
Joanna L. Morrissey ◽  
Phyllis J. Wenthe ◽  
Kathleen F. Janz ◽  
Elena M. Letuchy ◽  
Steven M. Levy
2012 ◽  
Vol 9 (8) ◽  
pp. 1146-1154 ◽  
Author(s):  
Kellie A. Langlois ◽  
Nicholas Birkett ◽  
Rochelle Garner ◽  
Jennifer O’Loughlin

Background:Despite the benefits of physical activity, many Canadian adolescents are inactive and rates of inactivity increase with age. Few studies describe the pattern of change in physical activity as a function of age during adolescence.Methods:Data were drawn from the Nicotine Dependence in Teens Study. The analytic sample included 1206 adolescents who completed a 7-day physical activity recall up to 4 times per year over 5 years. Individual growth models, analyzed using multilevel models for change, were developed separately by sex controlling for season.Results:Physical activity levels through adolescence were best described by a cubic function. Levels increased from age 12 to a peak at approximately age 13.5, decreased to age 16.5, and increased again to age 17. Activity participation was highest in the spring and lowest during fall and winter. Substantial within- and between-subject heterogeneity in the trajectories was evident.Conclusion:Adolescent physical activity follows a complex, curvilinear pattern in both males and females, with considerable variation within- and between-persons.


2002 ◽  
Vol 14 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Wendell C. Taylor ◽  
James F. Sallis ◽  
Marsha Dowda ◽  
Patty S. Freedson ◽  
Karen Eason ◽  
...  

The purposes of the study were to assess differences in physical activity levels and correlates of physical activity among overweight (‡ 85 th percentile of body mass index for their sex and age) and non-overweight (< 85th percentile) youth. The sample included 509 seventh through twelfth graders. Activity was measured by a 7-day, 46-item activity checklist. Overweight girls were more sedentary than non-overweight girls (p < .03), and non-overweight girls engaged in more vigorous physical activity than overweight girls (p < .03). For boys, there were no significant differences in activity. The regression analyses for vigorous activity yielded the largest total R2’s (R2 = .49 for overweight and R2 = .27 for non-overweight.) The significant factor for overweight youth was greater athletic coordination (p < .01). For non-overweight youth, the significant factors were greater family support (p < .05), greater peer support (p < .001), fewer barriers (p < .03), and greater athletic coordination (p < .01). Correlates of physical activity vary by weight status of young people.


2016 ◽  
Vol 34 (21) ◽  
pp. 2047-2053 ◽  
Author(s):  
Greig R.M. Logan ◽  
Scott Duncan ◽  
Nigel K. Harris ◽  
Erica A. Hinckson ◽  
Grant Schofield

2012 ◽  
Vol 24 (3) ◽  
pp. 333-346 ◽  
Author(s):  
Joanna L. Morrissey ◽  
Phyllis J. Wenthe ◽  
Elena M. Letuchy ◽  
Steven M. Levy ◽  
Kathleen F. Janz

In a sample of 291 adolescents (mean age 13 yr), seven psychosocial factors, including family support, were examined in relation to accelerometry-derived physical activity (PA) measured after school and during the weekend. Gender-specific stepwise linear regression analyses determined which combinations of factors explained the variance in nonschool moderate to vigorous PA and nonschool total PA after adjusting for % BF, age, and maturity (p ≤ 0.05). Being praised by a family member and % BF explained 13% of the variance in female nonschool MVPA, while being praised and maturity explained 13% of the variance in nonschool total PA. Having a family member watch him participate, % BF, and age explained 11.5% of the variance in male nonschool MVPA, while having a family member participate with him explained 6.4% of the variance in nonschool total PA. Despite adolescents’ growing independence, family support continues to influence PA levels.


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