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Showing 1 to 15 of 19 results Save | Export
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Dues, Kiya; Kandiah, Jayanthi; Khubchandani, Jagdish; Haroldson, Amber – Journal of School Nursing, 2020
To assess the prevalence of weight misperception in American adolescents and its association with diet and physical activity behaviors, "Youth Risk Behavior Survey" data were utilized for this study. Based on reported and perceived weight, adolescents in the study were grouped into four categories (true negative [52.4%] = normal body…
Descriptors: Adolescents, Body Weight, Dietetics, Eating Habits
Montana Office of Public Instruction, 2021
The Montana Youth Risk Behavior Survey (YRBS) is administered by the Montana Office of Public Instruction every two years to students in grades 7 through 12. The purpose of the survey is to help monitor the prevalence of behaviors that not only influence youth health, but also put youth at risk for the most significant health and social problems…
Descriptors: National Surveys, Health Behavior, High School Students, Eating Habits
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Kaya, Zöhre; Kaya, Selim Firat; Sagun, Aysenur; Koç, Kübra Sen – International Journal of Progressive Education, 2019
This research aims to explore the risk behaviour tendencies of teenagers in relation to the use of Wattpad and some socio-demographic variables. The research employs correlational research model and was conducted with 572 students (237 female students and 335 male students) studying at science, Anatolia and vocational high school. Risk Behaviours…
Descriptors: At Risk Persons, Adolescents, Student Behavior, High School Students
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Cook, Jessica A.; McCormick, Emily V.; Mickiewicz, Theresa E.; Davidson, Arthur J.; Main, Deborah S. – Journal of School Health, 2017
Background: Adolescent overweight and obesity are serious health risks, with prevalence varying by sociodemographic group. Studies link children's weight status and sex/race-ethnic differences with meeting recommendations for physical activity and diet. But, research examining the intersection of sociodemographic characteristics, behavior, and…
Descriptors: Correlation, Obesity, Risk, Incidence
Montana Office of Public Instruction, 2019
The Montana Youth Risk Behavior Survey (YRBS) is administered by the Montana Office of Public Instruction every two years to students in grades 7 through 12. The purpose of the survey is to help monitor the prevalence of behaviors that not only influence youth health, but also put youth at risk for the most significant health and social problems…
Descriptors: Health Behavior, High School Students, Risk, National Surveys
Montana Office of Public Instruction, 2019
The Montana Youth Risk Behavior Survey (YRBS) is administered by the Montana Office of Public Instruction every two years to students in grades 7 through 12. The purpose of the survey is to help monitor the prevalence of behaviors that not only influence youth health, but also put youth at risk for the most significant health and social problems…
Descriptors: High School Students, Health Behavior, Risk, At Risk Persons
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Bleck, Jennifer; DeBate, Rita – Health Education & Behavior, 2016
Introduction: Based on internal and external assets, the positive youth development approach aims to increase the capacity among adolescents to overcome challenges as they transition to adulthood. Developmental assets have been found to be positively associated with academic achievement, a variety of health promoting behaviors, and improved…
Descriptors: Correlation, Health Behavior, Adolescents, Adolescent Development
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Tabak, Rachel G.; Joshu, Corinne E.; Clarke, Megan A.; Schwarz, Cynthia D.; Haire-Joshu, Debra L. – Health Education & Behavior, 2016
Background: An environment that supports healthy eating is one factor to prevent obesity. However, little is known about postpartum teen's perceptions of their home and school environments and how this relates to dietary behaviors. Purpose: This study explores the relationship between home and school environments and dietary behaviors for…
Descriptors: Adolescents, Eating Habits, Health Behavior, Food
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Malone, Susan Kohl; Zemel, Babette; Compher, Charlene; Souders, Margaret; Chittams, Jesse; Thompson, Aleda Leis; Lipman, Terri H. – Journal of School Nursing, 2016
Sleep is a complex behavior with numerous health implications. Identifying sociodemographic and behavioral characteristics of sleep is important for determining those at greatest risk for sleep-related health disparities. In this cross-sectional study, general linear models were used to examine sociodemographic and behavioral characteristics…
Descriptors: Sleep, Adolescents, Social Influences, Behavior
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Snelling, Anastasia; Belson, Sarah Irvine; Beard, Jonathan; Young, Kathleen – Health Education, 2015
Purpose: The purpose of this paper is to explore the relationship between television viewing time, physical activity level, food consumption patterns, and academic performance of adolescents in a large urban school district in the USA where health disparities are prevalent, particularly among minority residents. Design/Methodology/Approach: The…
Descriptors: Television Viewing, Physical Activity Level, Grades (Scholastic), Eating Habits
Kann, Laura; McManus, Tim; Harris, William A.; Shanklin, Shari L.; Flint, Katherine H.; Hawkins, Joseph; Queen, Barbara; Lowry, Richard; Olsen, Emily O'Malley; Chyen, David; Whittle, Lisa; Thornton, Jemekia; Lim, Connie; Yamakawa, Yoshimi; Brener, Nancy; Zaza, Stephanie – Centers for Disease Control and Prevention, 2016
Problem: Priority health-risk behaviors contribute to the leading causes of morbidity and mortality among youth and adults. Population-based data on these behaviors at the national, state, and local levels can help monitor the effectiveness of public health interventions designed to protect and promote the health of youth nationwide. Reporting…
Descriptors: Health Behavior, High School Students, National Surveys, At Risk Persons
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Kouba, Joanne; Velsor-Friedrich, Barbarba; Militello, Lisa; Harrison, Patrick R.; Becklenberg, Amy; White, Barb; Surya, Shruti; Ahmed, Avais – Journal of School Nursing, 2013
Asthma is the most prevalent chronic illness in childhood affecting 7 million youth. Many youth with asthma face another risk factor in obesity. Obesity, in turn, increases disorders such as asthma. Studies have recommended that asthma programs also address weight management in youth. Taking this into consideration, the I Can Control Asthma and…
Descriptors: Chronic Illness, Child Health, At Risk Persons, Urban Areas
Kann, Laura; O'Malley Olsen, Emily; McManus, Tim; Kinchen, Steve; Chyen, David; Harris, William A.; Wechsler, Howell – Centers for Disease Control and Prevention, 2011
Problem: Sexual minority youths are youths who identify themselves as gay or lesbian, bisexual, or unsure of their sexual identity or youths who have only had sexual contact with persons of the same sex or with both sexes. Population-based data on the health-risk behaviors practiced by sexual minority youths are needed at the state and local…
Descriptors: Urban Schools, Obesity, Physical Activities, Sexual Orientation
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Tassitano, Rafael M.; Barros, Mauro V. G.; Tenorio, Maria C. M.; Bezerra, Jorge; Florindo, Alex A.; Reis, Rodrigo S. – Journal of School Health, 2010
Background: Physical education (PE) plays a critical role in the healthy development of youth; however, the influence of PE classes in helping to provide students with health-related behavior patterns is not clear. This study aims to analyze whether participation in PE classes is associated with health-related behavior among high school students.…
Descriptors: Physical Education, Television Viewing, Behavior Patterns, Physical Activity Level
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Delisle, Tony T.; Werch, Chudley E.; Wong, Alvin H.; Bian, Hui; Weiler, Robert – Journal of School Health, 2010
Background: While studies have determined the importance of physical activity in advancing health outcomes, relatively few have explored the relationship between exercise and various health behaviors of adolescents. The purpose of this study is to examine the relationship between frequency and intensity of physical activity and both health risk…
Descriptors: Stress Management, Physical Activities, Marijuana, Physical Activity Level
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