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Kim, Ashley Y.; Gieng, John H.; Osako Luna, Shiho; Mauldin, Kasuen – Journal of American College Health, 2023
Objective: This cross-sectional study examined correlations between physical activity and anthropometrics as well as sleep quality and anthropometrics. Participants College students (n = 85) with average age 25.6 ± 5.4 years. Methods Participants received full-body dual-energy x-ray absorptiometry scans and completed validated surveys: Habitual…
Descriptors: Physical Activity Level, Sleep, Correlation, Measures (Individuals)
Van Wasshenova, Emily; Boardley, Debra; Geers, Andrew; Tull, Matthew; Steiner, Victoria – American Journal of Health Education, 2023
Background: Affective associations have been shown to predict physical activity, but interventions designed to manipulate affective associations are limited. Purpose: To increase physical activity through manipulation of affective associations toward physical activity using the values component from Acceptance and Commitment Therapy (ACT) in…
Descriptors: Correlation, Patients, Affective Behavior, Intervention
Cowgill, Burton O.; Perez, Vanessa; Gerdes, Ellen; Sadda, Anusha; Ly, Courtnie; Slusser, Wendelin; Leung, Angelia – Journal of American College Health, 2021
Objective: To assess awareness about prolonged sitting and acceptance of interventions to reduce bouts of prolonged sitting. Participants: Undergraduate, graduate, and professional students and faculty from a large public university. Methods: Eight focus groups were conducted with 4 groups of undergraduate students and 4 groups of…
Descriptors: Undergraduate Students, Graduate Students, College Faculty, Teacher Attitudes
Augustin, Angel; Ralston, Penny A.; Young-Clark, Iris; Coccia, Catherine C. – Health Education & Behavior, 2019
Objective: To evaluate a health leader-focused church-based breast cancer prevention intervention in relation to congregants' intended participation, congregants' actual participation, and perceived health outcomes at both individual and church levels using socio-ecological and theory of planned behavior frameworks. Method: Participants for the…
Descriptors: Cancer, Prevention, Intervention, Church Role
Cho, Dalnim; Nguyen, Nga T.; Strong, Larkin L.; Wu, Ivan H. C.; John, Jemima C.; Escoto, Kamisha H.; Wetter, David W.; McNeill, Lorna H. – Health Education & Behavior, 2019
We investigated class clustering patterns of four behaviors--physical activity, fruit and vegetable (F&V) intake, smoking, and alcohol use--in a faith-based African American cohort. Guided by socio-ecological models, we also examined the psychosocial and neighborhood social environmental factors associated with the clustering patterns.…
Descriptors: Correlation, Health Behavior, Smoking, Eating Habits
Ezika, Ejiofor A. – Health Education Journal, 2020
Objective: The objective of this study was to explore the impact of the use of case stories on promoting cardiovascular health (CVH) knowledge as well as determining the contextual application of CVH knowledge in an urban population in Nigeria. Design: Participatory action research. Setting: Urban setting in Nigeria. Method: Fifty participants…
Descriptors: Health Promotion, Urban Areas, Clergy, Public Health
Charkamyani, Forouzan; Hosseinkhani, Azadeh; Neisani Samani, Leila; Khedmat, Leila – Research Quarterly for Exercise and Sport, 2019
Purpose: The role of a structured program of exercise training on the low-risk pregnancy in Iranian women undergoing "in vitro" fertilization (IVF) based on the reduction of gestational diabetes was examined. Method: A comparative quasi-experimental clinical trial with 170 IVF-pregnant women in two intervention and control groups was…
Descriptors: Pregnancy, Females, Neonates, Life Style
Ha, Taemin; Dauenhauer, Brian – Journal of Physical Education, Recreation & Dance, 2021
According to SHAPE America, quality physical education promotes physical literacy by addressing five core standards: motor skills, knowledge, health-related fitness, personal and social behavior, and values. The purpose of this article is to introduce a physical literacy index, identify resources that could be used to assess physical literacy, and…
Descriptors: Educational Quality, Physical Education, Motor Development, Physical Fitness
Tao, Shuman; Wu, Xiaoyan; Zhang, Yukun; Tao, Fangbiao – SAGE Open, 2019
Students with multiple health risk behaviors (HRB) have increased amount of research attention. The study aimed to examine the multiple health behaviors and whether these behaviors differ by demographic characteristics and social factors in a 1-year follow-up study among 1,989 students. All the measures were from the Youth Risk Behavior…
Descriptors: At Risk Students, Physical Activity Level, Team Sports, Suicide
Guelfi, Kym J.; Ong, Ming Jing; Peeling, Peter – Health Education Journal, 2018
Objective: To examine whether the completion of a course of study relating to preventive health and lifestyle risk factors was associated with alterations in health behaviours. Design: Within-group intervention, repeated-measures design. Setting: Health behaviours of university students studying a course focused on health and well-being. Method:…
Descriptors: Health Education, Course Content, Physical Activity Level, Eating Habits
Hortz, Brian; Winters, Eric; Grim, Melissa L.; Petosa, R. Lingyak – American Journal of Health Education, 2017
Background: Evidence suggests that health promotion interventions that are based on behavioral theories are more effective than those lacking a theoretical base. Recent studies have begun to look at the relationship between social cognitive variables and physical activity in varied populations. Purpose: The purpose of this study is to determine…
Descriptors: Social Cognition, Leisure Time, Physical Activities, Health Promotion
Greaney, Mary L.; Puleo, Elaine; Sprunck-Harrild, Kim; Haines, Jess; Houghton, Serena C.; Emmons, Karen M. – Health Education & Behavior, 2018
Introduction: Social support is important for behavior change, and it may be particularly important for the complexities of changing multiple risk behaviors (MRB). Research is needed to determine if participants in an MRB intervention can be encouraged to activate their social network to aid their change efforts. Methods: Healthy Directions 2, a…
Descriptors: Social Support Groups, Randomized Controlled Trials, Behavior Modification, Intervention
Steinman, Bernard A. – Journal of Visual Impairment & Blindness, 2016
Introduction: To compare the health status of older adults with and without vision impairment, this study employed a disability framework consisting of four stages, progressing from risk factors; through pathology and impairments that result in declining functioning; and eventually to disability. Methods: Data from five rounds (1999 to 2008) of…
Descriptors: Older Adults, Visual Impairments, Comparative Analysis, Risk
Pelletier, Jennifer E.; Lytle, Leslie A.; Laska, Melissa N. – Health Education & Behavior, 2016
The objective of this study was to describe the relationship between stress, weight-related health risk behaviors (e.g., eating behaviors, physical activity, sedentary behavior, sleep, cigarette smoking, and binge drinking), and weight status using cross-sectional data on 2-year community college students enrolled in a randomized controlled weight…
Descriptors: Stress Variables, Case Studies, Regression (Statistics), Correlation
Schulz, Amy J.; Israel, Barbara A.; Mentz, Graciela B.; Bernal, Cristina; Caver, Deanna; DeMajo, Ricardo; Diaz, Gregoria; Gamboa, Cindy; Gaines, Causandra; Hoston, Bernadine; Opperman, Alisha; Reyes, Angela G.; Rowe, Zachary; Sand, Sharon L.; Woods, Sachiko – Health Education & Behavior, 2015
Objectives: The purpose of this study was to evaluate the effectiveness of the "Walk Your Heart to Health" ("WYHH") intervention, one component of the multilevel Community Approaches to Cardiovascular Health: Pathways to Heart Health (CATCH:PATH) intervention designed to promote physical activity and reduce cardiovascular risk…
Descriptors: Physical Activities, Group Activities, Intervention, Health Promotion
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