scholarly journals Temporal Trends Of Physical Activity Among High School Students In The United States, 2011-2017

2019 ◽  
Vol 51 (Supplement) ◽  
pp. 223
Author(s):  
Seungho Ryu ◽  
Heontae Kim ◽  
Paul Loprinzi ◽  
Minsoo Kang
Keyword(s):  
Physical Activity ◽  
United States ◽  
High School ◽  
High School Students ◽  
Temporal Trends ◽  
The United States ◽  
School Students

Predictors of Physical Activity in a Predominantly Hispanic Sample of Adolescents

2019 ◽  
Vol 42 (7) ◽  
pp. 514-523
Author(s):  
Kimberly R. Hartson ◽  
Melody Avila ◽  
Bonnie Gance-Cleveland ◽  
Scott B. Harpin ◽  
Beth Tigges ◽  
...  
Keyword(s):  
Physical Activity ◽  
United States ◽  
High School ◽  
High School Students ◽  
The United States ◽  
Activity Relationship ◽  
Equation Modeling ◽  
School Students ◽  
Convenience Sample ◽  
Predominantly Hispanic

In the United States, the vast majority of Hispanic high school students do not meet physical activity recommendations. This prospective, observational study tested the Theory of Planned Behavior (TPB) to predict physical activity in a convenience sample of 232 high school students from a predominantly Hispanic, rural-fringe, lower-income community in Southwestern United States. Mindfulness was tested as a moderator of the intention–physical activity relationship. Data were collected via self-report questionnaires. Statistical analysis included structural equation modeling (SEM) and moderation analysis. The model explained 60% and 43% of the variance in intention and physical activity, respectively. Attitude (β = 0.49, p < 0.001) and subjective norm (β = 0.44, p < 0.001) predicted intention. Intention (β = 0.58, p < 0.001) and perceived behavioral control (β = 0.13, p < 0.027) predicted physical activity. Mindfulness did not moderate the intention–physical activity relationship. The results support using the TPB to predict physical activity in this population and may inspire ideas for targeted interventions.

scholarly journals Cross community study of mathematics anxiety between the high school students in Illinois USA and Jordan

2012 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Ruba Mohammad Miqdadi
Keyword(s):  
United States ◽  
High School ◽  
High School Students ◽  
Mathematics Anxiety ◽  
Cultural Difference ◽  
The United States ◽  
Main Study ◽  
School Students ◽  
Educational Implications ◽  
Anxiety Levels

The purpose ofthe study is to examine whether there are any significant differences in the mathematics anxiety levels between high school students in Jordan and their counterparts in the United States. Another purpose is to examine whether there are gender differences related to mathematics anxiety among high school students ofboth communities. A total of 1,386 high school students in the United States and Jordan participated in main study. This study showed that Jordanian high school students exhibited a significantly higher mathematics anxiety than United States high school students. Furthermore, the study revealed that female high schooLstudents in the United States acquired a significantly higher mathematics anxiety level than males. Another finding of this study was that males in Jordan had a significantly higher leveL of mathematics anxiety than males in the United States. The findings and educational implications ofthe study are discussed in light ofthe cultural difference between the two communities.

Knowledge about Drug Abuse in an American Small Town

1973 ◽  
Vol 32 (2) ◽  
pp. 571-574 ◽  
Author(s):  
Michael R. McKee
Keyword(s):  
Mental Health ◽  
United States ◽  
High School ◽  
High School Students ◽  
Drug Users ◽  
Formal Education ◽  
The United States ◽  
Health Clinic ◽  
Mental Health Clinic ◽  
School Students

In a small (pop. 25,000) Eastern community in the United States, “counselors” (teachers, parents, police, mental health clinic workers, and ministers) and high school students were interviewed and tested to ascertain knowledge regarding drugs. Data suggest that less is known about certain categories of drugs than others; drug users are more knowledgeable about drugs than non-users; police scored consistently lower than other “counselors” and students; and those with higher levels of formal education scored higher. Particular problems and areas of ignorance among the (usually non-drug using) adults who give counsel require identification to aid in establishing more realistic, efficient, and effective organizing, staffing, and operating of programs.

scholarly journals Secular Trends in Sedentary Behavior Among High School Students in the United States, 2003 to 2015

2019 ◽  
Vol 33 (8) ◽  
pp. 1174-1181 ◽  
Author(s):  
Seungho Ryu ◽  
Heontae Kim ◽  
Minsoo Kang ◽  
Zeljko Pedisic ◽  
Paul D. Loprinzi
Keyword(s):  
United States ◽  
High School ◽  
High School Students ◽  
Sedentary Behavior ◽  
Computer Use ◽  
Linear Trend ◽  
The United States ◽  
Secular Trends ◽  
School Students ◽  
Tv Watching

Purpose: To evaluate secular trends in recreational sedentary behavior among high school students in the United States between 2003 and 2015. Design: A series of cross-sectional assessments over a 12-year period. Setting: Data from the 2003 to 2015 Youth Risk Behavior Surveillance System was used. Participants: Samples of 10 978 to 14 894 adolescents, drawn every 2 years: 2003 to 2015. Measures: The evaluated recreational self-reported sedentary behaviors included TV hours and computer hours that are not schoolwork. Results: For the entire sample, and using polynomial orthogonal coefficients via regression modeling, there was an upward linear trend for total sedentary behavior hours (β = 0.03; p = .001), a downward linear trend in TV watching (β = −0.06; p < .001), and an upward linear trend in computer use (β = 0.08; p < .001) from 2003 to 2015. Similar linear trends ( p < .001) were observed across several subpopulations, including the groups by gender, race/ethnicity, and body mass index. However, various subpopulations differed in TV watching, with black or African American, and obese adolescents having the highest TV watching hours, respectively (eg, 3.82 h/d vs 3.13 h/d in 2015; blacks vs whites; p < .05). Various subpopulations also differed in computer use, with obese adolescents (4.26 h/d in 2015) having the highest computer use. Conclusion: There were significant changes from 2003 to 2015 in sedentary behavior patterns in the US adolescent population. Total recreational sedentary behavior increased in this period. Specifically, TV viewing decreased while computer use increased. Continued monitoring of sedentary behavior trends is needed to better understand the changing behaviors of American adolescents and how they relate to changes chronic disease risk.

scholarly journals Temporal Trends in the Association between Participation in Physical Education and Physical Activity among U.S. High School Students, 2011–2017

2020 ◽  
Vol 17 (7) ◽  
pp. 2357 ◽  
Author(s):  
Seungho Ryu ◽  
Paul Loprinzi ◽  
Heontae Kim ◽  
Minsoo Kang
Keyword(s):  
Physical Activity ◽  
High School ◽  
High School Students ◽  
Physical Education ◽  
Temporal Trends ◽  
Physical Activity Guideline ◽  
Activity Levels ◽  
School Students ◽  
Physically Active ◽  
Education Participation

The purpose of this study was to assess trends in physical education and physical activity among U.S. high school students from 2011 to 2017, respectively, and to evaluate temporal trends in the relationship between physical education class participation and physical activity levels. Data from a total of 51,616 high school students who participated in the Youth Risk Behavior Surveillance System (YRBSS) from 2011 to 2017 were analyzed for this study. Physical education was measured as follows: In an average week when you are in school, on how many days do you go to physical education classes? Physical activity was measured as follows: During the past 7 days, on how many days were you physically active for a total of at least 60 min per day? Meeting physical activity guideline was defined as engaging in 7 days per week of at least 60 min per day. Across the 2011–2017 YRBSS, there were no linear (p = 0.44)/quadratic trends (p = 0.37) in physical education and linear (p = 0.27)/quadratic trends (p = 0.25) in physical activity, respectively. Regarding the trends in the association between physical education and physical activity, there were no statistically significant linear (unstandardized regression coefficient (b) = 0.013, p = 0.43) or quadratic (p = 0.75) trends; however, at the sample level, there was a slight increase in the odds ratio effect sizes from 2011 to 2017 (ES = 1.80–1.98). The pooled association between physical education participation and physical activity was statistically significant, OR = 1.88, 95% CI = 1.75–2.03, p < 0.001. That is, on average across the four YRBSS cycles, students who participated in physical education had 1.88 times higher odds of meeting physical activity guideline when compared to students who did not participate in physical education. The trends of physical education and physical activity did not change between 2011 and 2017. Overall, we observed a significant relationship between participation in physical education and physical activity. There was a non-significant yet stable trend of association between participation in physical education and physical activity over time.

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