Publication Date
| In 2026 | 0 |
| Since 2025 | 278 |
| Since 2022 (last 5 years) | 1584 |
| Since 2017 (last 10 years) | 3410 |
| Since 2007 (last 20 years) | 6696 |
Descriptor
| Health Behavior | 8180 |
| Foreign Countries | 2114 |
| Health Promotion | 1962 |
| Intervention | 1577 |
| Adolescents | 1506 |
| Risk | 1326 |
| Student Attitudes | 1322 |
| Sexuality | 1272 |
| Prevention | 1244 |
| Correlation | 1232 |
| Gender Differences | 1224 |
| More ▼ | |
Source
Author
Publication Type
Education Level
Audience
| Teachers | 93 |
| Practitioners | 70 |
| Policymakers | 35 |
| Parents | 33 |
| Students | 28 |
| Community | 22 |
| Administrators | 20 |
| Researchers | 18 |
| Support Staff | 15 |
| Counselors | 6 |
| Media Staff | 1 |
| More ▼ | |
Location
| Canada | 218 |
| Australia | 217 |
| United States | 171 |
| California | 169 |
| United Kingdom | 124 |
| Turkey | 118 |
| Texas | 117 |
| United Kingdom (England) | 106 |
| North Carolina | 98 |
| New York | 86 |
| China | 82 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Does not meet standards | 2 |
Ching, Cynthia Carter; Stewart, Mary K.; Hagood, Danielle E.; Rashedi, Roxanne Naseem – IEEE Transactions on Learning Technologies, 2016
Extant literature has largely not examined how users critically engage with their physical activity monitors, as objective data sense-making is often deemed superior to users' subjective realities. Our research, however, examines how middle-school youth encounter the representation of their data, as it is converted and actionable in an online…
Descriptors: Physical Activity Level, Measurement, Electronic Equipment, Ethnography
Toyama, Noriko – Early Child Development and Care, 2016
The present study examined (1) whether children notice different causes for contagious illnesses, non-contagious illnesses, and injuries and (2) what information adults provide to children and to what extent this information is related to children's causal awareness. Studies 1 and 2 explored preschool teachers' and mothers' explanations of…
Descriptors: Communicable Diseases, Injuries, Adults, Preschool Teachers
Hoffman, Pamela K.; Davey, Cynthia S.; Larson, Nicole; Grannon, Katherine Y.; Hanson, Carlie; Nanney, Marilyn S. – Health Education Research, 2016
Weight-related outcomes were examined among high school students in Minnesota public school districts according to the quality of district wellness policies. Wellness policy strength and comprehensiveness were scored using the Wellness School Assessment Tool (WellSAT) for 325 Minnesota public school districts in 2013. The associations between…
Descriptors: High School Students, School Districts, Wellness, School Policy
Petosa, R. Lingyak; Silfee, Valerie – American Journal of Health Education, 2016
Background: Studies have revealed that overweight adults with type 2 diabetes have low rates of physical activity and are resistant to change. Purpose: The purpose of this study was to use construct validation of intervention methods to examine the impact of a 4-week behavioral intervention on the use of self-regulation skills for physical…
Descriptors: Obesity, Diabetes, Health Behavior, Behavior Modification
Manu, Abubakar; Kotoh, Agnes M.; Asante, Rexford Kofi Oduro; Ankomah, Augustine – Health Education, 2016
Purpose: Available studies on parent-child communication about sexual and reproductive health in Ghana have largely focused on assessing communication frequency, barriers, and who communicates with whom within the family. The purpose of this paper is to examine parental and family contextual factors that predict parental communication with young…
Descriptors: Case Studies, Correlation, Sexuality, Family Environment
Hoehn, Jessica L.; Riekert, Kristin A.; Borrelli, Belinda; Rand, Cynthia S.; Eakin, Michelle N. – Health Education Research, 2016
Objective: To identify barriers and motivators for reducing secondhand smoke exposure (SHSe) for families of African-American, low-income, urban children. Method: Audiotaped intervention sessions of 52 African-American caregivers of Head Start children who reported being a smoker and/or had at least one smoker in the home were randomly sampled…
Descriptors: Intervention, Health Education, Smoking, African American Family
Martos, A. J.; Valera, P.; Bockting, W. O.; Wilson, P. A. – Health Education Research, 2016
Young Black men who have sex with men (YBMSM) account for approximately 10% of the total HIV infection in the United States but represent <1% of the population. Few interventions exist that address their unique needs, and those that do adopt a narrow, risk-based framework for prevention. Qualitative data from the Brothers Connect Study were…
Descriptors: Young Adults, Males, African Americans, Homosexuality
Schweier, R.; Romppel, M.; Richter, C.; Grande, G. – Health Education Research, 2016
The Internet offers the potential to efficaciously deliver health interventions at a low cost and with a low threshold across any distance. However, since many web-based interventions are confronted with low use and adherence, proactive dissemination strategies are needed. We, therefore, tested the efficacy of a 1-h patient education session as…
Descriptors: Health Promotion, Intervention, Technology Uses in Education, Educational Technology
Bezyak, Jill; Clark, Alena – Rehabilitation Research, Policy, and Education, 2016
Purpose: To conduct an initial needs assessment of physical and mental health behavior among college students to improve understanding of physical and mental health needs among future helping professionals. Method: A sample of 24 undergraduate students was used to provide a description of mental health, physical activity, and healthy eating…
Descriptors: Physical Health, Mental Health, College Students, Higher Education
Blumberg, Stephen J.; Clarke, Tainya C.; Blackwell, Debra L. – National Center for Health Statistics, 2016
Compared with white Americans, persons of other races in the United States are less likely to have access to and receive needed mental health care (1-4). Few studies, however, have explored such disparities specifically among men. Mental health and treatment have traditionally received less attention for men than women, perhaps because men are…
Descriptors: Mental Health, Gender Differences, Males, Racial Differences
Beaver, Kevin M.; Flores, Tori; Boutwell, Brian B.; Gibson, Chris L. – Health Education & Behavior, 2012
Behavioral genetic research shows that variation in eating habits and food consumption is due to genetic and environmental factors. The current study extends this line of research by examining the genetic contribution to adolescent eating habits. Analysis of sibling pairs drawn from the National Longitudinal Study of Adolescent Health (Add Health)…
Descriptors: Measures (Individuals), Genetics, Food, Eating Habits
Mays, Darren; Gerfen, Elissa; Mosher, Revonda B.; Shad, Aziza T.; Tercyak, Kenneth P. – Journal of Nutrition Education and Behavior, 2012
Objective: To assess the construct validity of a milk consumption Stages of Change (SOC) algorithm among adolescent survivors of childhood cancer ages 11 to 21 years (n = 75). Methods: Baseline data from a randomized controlled trial designed to evaluate a health behavior intervention were analyzed. Assessments included a milk consumption SOC…
Descriptors: Health Behavior, Mathematics, Cancer, Construct Validity
Stok, F. Marijn; de Vet, Emely; de Ridder, Denise T. D.; de Wit, John B. F. – Journal of Adolescence, 2012
Few studies have investigated the strategies adolescents identify to self-regulate eating behavior. Aiming to address this gap in the literature, the current article describes a bottom-up investigation of strategies adolescents identify for the successful self-regulation of eating behavior. Sixty-two adolescents generated statements about…
Descriptors: Obesity, Adolescents, Health Behavior, Eating Habits
Di Noia, Jennifer; Cullen, Karen Weber – Health Education & Behavior, 2015
Fruit and vegetable (FV) attitudes and norms have been shown to influence intake in youth; yet research with low-income youth and studies supplementing self-report with objective measures of intake are lacking. Cross-sectional survey data on self-rated FV intake, FV attitudes, and FV norms were collected in a sample of 116 youth attending a…
Descriptors: Health Behavior, Eating Habits, Food, Low Income Groups
Cheney, Marshall K.; Oman, Roy F.; Vesely, Sara K.; Aspy, Cheryl B.; Tolma, Eleni L. – American Journal of Health Education, 2015
Background: Youth assets protect adolescents from tobacco use, but their influence in young adulthood is unknown. Purpose: To determine the prospective influence of assets possessed in young adulthood with tobacco use the following year. Methods: Data from waves 4 and 5 from the Youth Asset Study (n = 450, ages 18-22 at wave 5) were used. Logistic…
Descriptors: Smoking, Intervention, Gender Differences, Youth Opportunities

Peer reviewed
Direct link
