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Cris E. Haltom; Tate F. Halverson – Journal of American College Health, 2024
Objective: This study examined relationships between eating disorder risk (EDR), lifestyle variables (e.g., exposure to healthy eating media), and differences among male and female college students. Participants: College students (N = 323) completed survey questionnaires (Fall, 2016). Fifty-three participants retook the survey at a later time.…
Descriptors: Eating Disorders, Life Style, At Risk Students, Gender Differences
Nikmah; Ardi, Muhammad; Yahya, Mohamad; Upa, Muhamad D. Pua; Dirawan, Gufran Darma – International Education Studies, 2017
The objective of research is to describe the knowledge and attitude of basic sanitation management community in Kupang City. This type of research is a survey research using quantitative approach. Data were collected by using the instrument in the form of test knowledge of basic sanitation management and attitude questionnaire. The data was then…
Descriptors: Foreign Countries, Knowledge Level, Attitude Measures, Surveys
Krause, Neal; Hill, Peter C.; Emmons, Robert; Pargament, Kenneth I.; Ironson, Gail – Health Education & Behavior, 2017
A growing body of research suggests that people who are more deeply involved in religion may be more likely to adopt beneficial health behaviors. However, religion is a complex phenomenon, and as a result, religion may affect health behaviors in a number of ways. The purpose of the current study was to see whether a sacred view of the body (i.e.,…
Descriptors: Correlation, Religion, Religious Factors, Life Style
Stoutenberg, Mark; Falcon, Ashley; Arheart, Kris; Stasi, Selina; Portacio, Francia; Stepanenko, Bryan; Lan, Mary L.; Castruccio-Prince, Catarina; Nackenson, Joshua – Health Education & Behavior, 2017
Background: Lifestyle modification programs improve several health-related behaviors, including physical activity (PA) and nutrition. However, few of these programs have been expanded to impact a large number of individuals in one setting at one time. Therefore, the purpose of this study was to determine whether a PA- and nutrition-based lifestyle…
Descriptors: Program Implementation, Life Style, Physical Activities, Eating Habits
Sarcona, Alessandra; Kovacs, Laura; Wright, Josephine; Williams, Christine – American Journal of Health Education, 2017
Background: Weight gain and lifestyle behaviors during college may contribute to future health problems. This population may not have sufficient self-monitoring skills to maintain healthy lifestyle behaviors. Purpose: The purpose of this study was to determine the relationship between usages of mobile health applications (apps) designed to track…
Descriptors: Handheld Devices, Computer Oriented Programs, Eating Habits, Physical Activity Level
Kim, Dae-Hwan – Health Education & Behavior, 2018
Smoking and obesity are chief causes of mortality, morbidity, and medical expenditure. However, few studies have investigated the linkage between subjective obesity status and smoking behavior. This study examines whether females in a normal body mass index range who perceive themselves as obese are more likely to smoke than those who do not…
Descriptors: Correlation, Obesity, Smoking, Females
Lebron, Cynthia; Stoutenberg, Mark; Janowsky, Mariel; Asfour, Lila; Huang, Shi; Prado, Guillermo – Journal of Early Adolescence, 2017
The purpose of our study was to investigate the potential relationships in Hispanic adolescents (n = 575) between substance use and/or risky sexual behaviors and (a) physical activity (PA) and (b) sedentary time and (c) the moderating effect of gender. PA levels and sedentary behaviors were assessed using the PA Questionnaire for Adolescents,…
Descriptors: Physical Activity Level, Life Style, Health Behavior, At Risk Persons
van Berkel, Kelly; Reeves, Brenda – College Student Journal, 2017
Problem: While stress is universal for graduate students, the difference in terms of stress symptoms and the effects on health behavior is how students cope. While numerous research studies have linked stress and negative health behaviors, few studies have objectively assessed these variables. Purpose: Utilize current health and fitness technology…
Descriptors: Stress Variables, Health Behavior, Scores, Online Surveys
Barnas, Jillian; Wunder, Colin, II; Ball, Steve – Physical Educator, 2018
Introduction: The prevalence of childhood obesity in the United States has reached epidemic status with some states with rates as high as 20%. The most effective interventions for combating inactivity target children before inactivity develops in their adolescent years. If effective, school-aged physical activity (PA) interventions would decrease…
Descriptors: Playgrounds, Child Health, Obesity, Physical Activity Level
Al Khayyal, Hatem; El Geneidy, Moshera; El Shazly, Somaya Abdel Moneim – Journal of Education and Practice, 2016
Coronary heart disease is the most frequent single cause of death among persons over 65 years of age and it seems to continue to be a significant threat to the health and wellbeing of the elderly population all over the world, yet the condition is largely preventable. The aims of this study to assess and determine the relations among elder's…
Descriptors: Older Adults, Heart Disorders, At Risk Persons, Health Behavior
Babatunde, Ezekiel Olusegun – Universal Journal of Educational Research, 2017
The positive effects of health education and healthy lifestyle on adolescent academic achievement cannot be over emphasized as learning experiences to help students accurately assess the level of risk-taking behaviour among their peers, emphasis on the value of good health that reinforces health-enhancing attitudes and beliefs are paramount.…
Descriptors: Health Behavior, Life Style, Health Education, Academic Achievement
Kim, Youngdeok; Barry, Vaughn W.; Kang, Minsoo – Measurement in Physical Education and Exercise Science, 2015
This study examined (a) the validity of two accelerometers (ActiGraph GT3X [ActiGraph LLC, Pensacola, FL, USA] and activPAL [PAL Technologies Ltd., Glasgow, Scotland]) for the assessment of sedentary behavior; and (b) the variations in assessment accuracy by setting minimum sedentary bout durations against a proxy for direct observation using an…
Descriptors: Measurement Equipment, Life Style, Health Behavior, Accuracy
Hearst, Mary O.; Wang, Qi; Grannon, Katherine; Davey, Cynthia S.; Nanney, Marilyn S. – Journal of School Health, 2017
Background: This study examines school strategies to educate parents over time about physical activity and nutrition and how those strategies are related to adolescent health behaviors. Methods: Data from the Minnesota School Health Profiles Lead Health Education Teacher survey (2008-2012) and the Minnesota Student Survey (MSS, 2013) included…
Descriptors: Secondary School Students, Life Style, Child Health, Parent Education
de Heer, Hendrik Dirk; de la Haye, Kayla; Skapinsky, Kaley; Goergen, Andrea F.; Wilkinson, Anna V.; Koehly, Laura M. – Health Education & Behavior, 2017
Background: Due to shared health behaviors and disease risk, families may be more effective targets for health promotion. This study assessed whether providing family health history (FHH)-based risk information for heart disease and diabetes affected encouragement to engage in physical activity (PA) and healthy weight (HW) maintenance and…
Descriptors: Health Behavior, Family Environment, Health Promotion, Heart Disorders
Anderson, Alicia; Spear, Caile; Pritchard, Mary; George, Kayla; Young, Kyle; Smith, Carrie – Journal of Health Education Teaching, 2017
Purpose: Healthy Habits, Healthy U (HHHU) is a two-day school-based primary prevention cancer education program that uses interactive classroom presentations designed to help students learn how to reduce their cancer risks. HHHU is a collaboration between a local cancer hospital, school district and university. HHHU incorporates real cancerous and…
Descriptors: Formative Evaluation, Cancer, Health Behavior, Feedback (Response)

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