scholarly journals Specific Types of Family Support and Adolescent Non-School Physical Activity Levels

2012 ◽  
Vol 24 (3) ◽  
pp. 333-346 ◽  
Author(s):  
Joanna L. Morrissey ◽  
Phyllis J. Wenthe ◽  
Elena M. Letuchy ◽  
Steven M. Levy ◽  
Kathleen F. Janz
Keyword(s):  
Physical Activity ◽  
Linear Regression ◽  
Family Member ◽  
Family Support ◽  
After School ◽  
Activity Levels ◽  
Regression Analyses ◽  
Stepwise Linear Regression ◽  
Physical Activity Levels ◽  
Gender Specific

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.

scholarly journals Activity Patterns and Correlates among Youth: Differences by Weight Status

2002 ◽  
Vol 14 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Wendell C. Taylor ◽  
James F. Sallis ◽  
Marsha Dowda ◽  
Patty S. Freedson ◽  
Karen Eason ◽  
...  
Keyword(s):  
Physical Activity ◽  
Family Support ◽  
Weight Status ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Activity Levels ◽  
Regression Analyses ◽  
Twelfth Graders ◽  
Physical Activity Levels ◽  
Significant Factors

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.

scholarly journals Objectively assessed moderate-to-vigorous physical activity levels among primary school children in Norway: The Health Oriented Pedagogical Project (HOPP)

2018 ◽  
Vol 46 (21_suppl) ◽  
pp. 38-47 ◽  
Author(s):  
Wei Hai Deng ◽  
Per Morten Fredriksen
Keyword(s):  
Physical Activity ◽  
Linear Regression ◽  
Primary School ◽  
School Children ◽  
Vigorous Physical Activity ◽  
Age Groups ◽  
Participation Rate ◽  
Primary School Children ◽  
Activity Levels ◽  
Physical Activity Levels

Aims: The objective was to investigate moderate-to-vigorous physical activity levels (MVPA) of primary school children at baseline of the Health Oriented Pedagogical Project (HOPP), Norway. Methods: Data on 2123 children aged 6–12 years were included for analysis (75% participation rate). Average minutes per day in MVPA was objectively measured using accelerometry based on seven-day averages. The sample was analysed for age-, sex-, socioeconomic-, and season-related patterns. A linear regression investigated the moderating effect of these factors as well as body mass index and waist circumference. Results: Some 86.5% of the sample had at least 60 min/day MVPA, averaging 90.7 min/day. The main differences in daily averages were between age groups 6½–9 and 10–12 ( p < .05). Boys (95.8 min/day, 95% CI: 94.1–97.5) were more active than girls (85.6 min/day, 95% CI: 83.9–87.2) in all age groups ( p < .0001). MVPA was lower by 3.5 min ( p < .0001) per additional year of age in the linear regression (R2 = 0.176) and was reduced by 20 min less per day in MVPA in the winter months compared with the summer months ( p < .0001). Conclusions: Physical activity levels are already in decline from 6–7 years old and are likely to continue to decline into adolescence. Interventions must therefore focus on primary school children.

scholarly journals Physical Activity Levels among Children Attending After-School Programs

2008 ◽  
Vol 40 (4) ◽  
pp. 622-629 ◽  
Author(s):  
STEWART G. TROST ◽  
RICHARD R. ROSENKRANZ ◽  
DAVID DZEWALTOWSKI
Keyword(s):  
Physical Activity ◽  
After School Programs ◽  
After School ◽  
Activity Levels ◽  
School Programs ◽  
Physical Activity Levels

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
Keyword(s):  
Physical Activity ◽  
Family Support ◽  
Activity Levels ◽  
Adolescent Physical Activity ◽  
Physical Activity Levels

A serial path model between autonomous motivation, behavioral intention, action planning, and after school physical activity of university students participating in Physical Education classes

2020 ◽  
Vol 24 (4) ◽  
pp. 315-333
Author(s):  
Jae Young Yang
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
University Students ◽  
Behavioral Intention ◽  
Action Planning ◽  
Autonomous Motivation ◽  
Path Model ◽  
After School ◽  
Activity Levels ◽  
Physical Activity Levels

University students in the international regions show reduced physical activity levels compared to previous generations. Lack of physical activity in college population is a growing problem of modern society because over half of the population is faced with serious health problems, such as obesity, diabetes, and high blood pressure. An emphasis point of physical activity research is to get detailed information of motivational process for engaging in physical activity. This study tested a serial path model that the relationship between autonomous motivation and after school physical activity was proposed to be mediated by behavioral intention and the existence of action planning. A total of 203 students participating in physical education classes of two universities located at a metropolitan city in South Korea were selected. The participants completed four well-validated questionnaires at the end of the classes in one semester. The results of data analyzed using a structural equation modeling revealed that after school physical activity could be positively advanced by the sequential mediation effects of behavioral intention and action planning if students were internalized with autonomous motivation in the physical education classes. The findings highlighted that the action planning played as an effective strategy in leading to engagement in after school physical activity and provided useful information for university physical educators to increase physical activity levels of university students during out of school hours.

scholarly journals Participants’ physical activity levels and evaluations of a school sport programme in Papua New Guinea

2017 ◽  
Vol 25 (1) ◽  
pp. 3-20 ◽  
Author(s):  
Stephanie Hanrahan ◽  
Steven Rynne ◽  
Emma Beckman ◽  
Tony Rossi
Keyword(s):  
Physical Activity ◽  
Papua New Guinea ◽  
New Guinea ◽  
After School ◽  
Activity Levels ◽  
Future Health ◽  
Sport For Development ◽  
Physical Activity Levels ◽  
School Period ◽  
The Impact

In its contemporary form, sport for development has been positioned as an important part of strategic policy for a variety of governmental and sporting organisations. One area that has been targeted by governments and a variety of sporting partners has been the impact of sport on non-communicable diseases (NCDs, sometimes colloquially referred to as ‘lifestyle diseases’ such as obesity). However, relatively little evidence exists for the impact of sport programmes on the reduction of NCDs and future health burden. This study sought to examine the physical activity levels of school-aged children in Papua New Guinea (PNG) during their participation in a targeted sport programme operating during school hours. Data collection methods employed were physical activity recall and pedometer counts, as well as perceptions, intentions, and knowledge of participants. Children in this study were found to have lower physical activity levels during the after-school period than has been reported in the literature for children in other countries. Overall, children were active during the sport programme, completing 1179 steps on average (which constitutes 10% of the suggested daily values for children of a similar age). No profound differences were observed in either the qualitative or quantitative data across different schools, regions, or genders. The responses from children regarding the sport programme were notably positive.

Sign in / Sign up

Export Citation Format

Share Document