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Brown, Onikia; Quick, Virginia; Colby, Sarah; Greene, Geoffrey; Horacek, Tanya M.; Hoerr, Sharon; Koenings, Mallory; Kidd, Tandalayo; Morrell, Jesse; Olfert, Melissa; Phillips, Beatrice; Shelnutt, Karla; White, Adrienne; Kattelmann, Kendra – Health Education, 2015
Purpose: Recruiting college students for research studies can be challenging. The purpose of this paper is to describe the lessons learned in the various recruitment strategies used for enrolling college students in a theory-based, tailored, and web-delivered health intervention at 13 US universities. Design/methodology/approach: The…
Descriptors: Student Recruitment, College Students, Health Promotion, Health Behavior
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Loth, Katie; Shanafelt, Amy; Davey, Cynthia; Anfinson, Allison; Zauner, Marguerite; Looby, Anna Ayers; Frost, Natasha; Nanney, Marilyn S. – Health Education & Behavior, 2019
Licensed child care providers, and the early care and education settings in which they operate, are uniquely situated to influence children's healthy eating and physical activity through practices, attitudes, and supportive physical and social environments. However, preliminary research indicates that child-, family-, and provider-level…
Descriptors: Child Care Centers, Early Childhood Education, Health Behavior, Eating Habits
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Wells, Katelyn; Makela, Carole; Kennedy, Catherine – American Journal of Health Education, 2014
Background: Research on strategies for addressing multiple health-related behaviors (HRBs) in one intervention are needed because resources are sparse and clarification is needed regarding the relationship between multiple HRBs. Purpose: Determine undergraduate students' health behavior co-occurring pairs of smoking cigarettes (SC), alcohol…
Descriptors: Health Behavior, Intervention, Undergraduate Students, Wellness
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Ridder, Monica A. M.; Koning, Maaike; Visscher, Tommy L. S.; Hirasing, Remy A.; Seidell, Jacob C.; Renders, Carry M. – Health Education & Behavior, 2018
Energy balance-related behavior on schooldays and beliefs about school-based interventions may differ between students in different educational levels, sexes, and BMI (body mass index) categories. In Zwolle (the Netherlands), 1,084 adolescents (13-15 years) at 9 secondary schools completed a questionnaire. Overweight prevalence (boys 18.1%, girls…
Descriptors: Case Studies, Health Behavior, Questionnaires, Body Composition
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Brown, Michelle J. – Strategies: A Journal for Physical and Sport Educators, 2018
The Biggest Mover Program, an educational program to improve daily exercise and healthy eating was developed to address the learning needs of students with intellectual and developmental disabilities and physical challenges. The program was part of a three-part program to improve the knowledge of students, staff, and teachers through the use of…
Descriptors: Intellectual Disability, Developmental Disabilities, Health Behavior, Health Promotion
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Weaver, Robert G.; Moore, Justin B.; Turner-McGrievy, Brie; Saunders, Ruth; Beighle, Aaron; Khan, M. Mahmud; Chandler, Jessica; Brazendale, Keith; Randell, Allison; Webster, Collin; Beets, Michael W. – Health Education & Behavior, 2017
Background: The YMCA of USA has adopted Healthy Eating and Physical Activity (HEPA) Standards for its afterschool programs (ASPs). Little is known about strategies YMCA ASPs are implementing to achieve Standards and these strategies' effectiveness. Aims: (1) Identify strategies implemented in YMCA ASPs and (2) evaluate the relationship between…
Descriptors: Youth Programs, After School Programs, Health Promotion, Eating Habits
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LaChausse, Robert G. – Health Education Research, 2017
The study purpose was to examine the impact of the Harvest of the Month (HOTM) program on fruit and vegetable (FV) consumption, FV preferences, other eating behaviors, physical activity and other variables related to healthy eating. A clustered randomized controlled trial was employed in 28 elementary schools. After parental consent was obtained,…
Descriptors: Randomized Controlled Trials, Program Effectiveness, Health Programs, Health Promotion
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Wiseman, Nicola; Harris, Neil; Lee, Patricia – Health Education Journal, 2016
Objective: Early childhood is considered a window of opportunity for lifestyle interventions, as this is a critical life-stage at which children accumulate knowledge and skills around behaviours such as eating and physical activity. This study examined how exposure to a settings-based healthy lifestyle programme influences knowledge and preference…
Descriptors: Early Childhood Education, Life Style, Intervention, Preschool Children
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Parks, Elizabeth P.; Kazak, Anne; Kumanyika, Shiriki; Lewis, Lisa; Barg, Frances K. – Health Education & Behavior, 2016
Objective: In an effort to develop targets for childhood obesity interventions in non-Hispanic-Black (Black) families, this study examined parental perceptions of stress and identified potential links among parental stress and children's eating patterns, physical activity, and screen-time. Method: Thirty-three self-identified Black parents or…
Descriptors: Stress Variables, Child Rearing, Child Health, Obesity
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Knol, Linda L.; Myers, Harriet H.; Black, Sheila; Robinson, Darlene; Awololo, Yawah; Clark, Debra; Parker, Carson L.; Douglas, Joy W.; Higginbotham, John C. – American Journal of Health Education, 2016
Background: Effective childhood obesity prevention programs for preschool children are limited in number and focus on changes in the child care environment rather than the home environment. Purpose: The purpose of this project was to develop and test the feasibility of a home environment obesity prevention program that incorporates mindful eating…
Descriptors: Program Development, Obesity, Prevention, Preschool Education
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Beckie, Theresa M.; Campbell, Susan M.; Schneider, Yukari Takata; Macario, Everly – American Journal of Health Education, 2017
Background: Three million U.S. women live with heart failure (HF). Purpose: This study investigated relationships among self-care activation, social support, and self-care behaviors of women living with HF. Methods: A 52-item web-based survey was completed by 246 women living with HF. Results: Women reported a mean body mass index (BMI) of 30.8 ±…
Descriptors: Daily Living Skills, Health Behavior, Females, Correlation
Montana Office of Public Instruction, 2019
The Youth Risk Behavior Survey (YRBS) is an epidemiologic surveillance system that was established by the U.S. Centers for Disease Control and Prevention (CDC) 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 that can occur during…
Descriptors: High School Students, Health Behavior, National Surveys, Risk
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Mátó, Veronika; Tarkó, Klára; Tóth, Krisztina; Nagymajtényi, László; Paulik, Edit – Practice and Theory in Systems of Education, 2016
Workplaces and employees' health are closely connected. A healthy workforce would increase productivity, effectivity and efficiency which will benefit the employer in financial and moral terms as well. On the contrary, if employees experience stress, long working hours, bad managerial style, not safe working conditions that would lead to ill…
Descriptors: Foreign Countries, Health Behavior, College Faculty, Questionnaires
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Reilly, Erin; Buskist, Connie; Gross, Michael K. – Kappa Delta Pi Record, 2012
Childhood obesity in the United States is on the rise and cannot continue to be ignored. Already one-third of children in the United States are overweight (Centers for Disease Control and Prevention [CDC] 2010a), and it did not take long to get there. Since 1980, the number of overweight children doubled and the number of overweight adolescents…
Descriptors: Physical Education, Physical Activities, Eating Habits, Obesity
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Kebbi, Marwa – International Journal of Special Education, 2018
This research was undertaken to shed light on sources of stress, effects and coping strategies used by general (mainstream) classroom teachers and special education teachers. A total of 139 teachers, from eight private schools in Beirut, Lebanon, were selected to participate in a study using the Pullis Inventory of Teacher Stress (PITS). The…
Descriptors: Coping, Stress Variables, Correlation, General Education
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