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Nikhil Ahuja; Asos Mahmood; Satish Kedia; Patrick J. Dillon – Health Education & Behavior, 2024
Recently, multiple health organizations and advocacy groups have pushed for giving an R-rating for movies depicting tobacco imagery. This study examined several predictors of U.S. adults' opinion toward an R-rating policy for movies depicting cigarette smoking. We used data from the Health Information National Trends Survey (2020 cycle), for a…
Descriptors: Smoking, Censorship, Health Behavior, Public Health
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Bernhart, John A.; Fellers, Ashley W.; Turner-McGrievy, Gabrielle; Wilson, Mary J.; Hutto, Brent – Health Education & Behavior, 2022
Introduction: Electronic Bluetooth scales (e-scales) may be useful for remote weight assessment. This study analyzed predictors of engagement with e-scales and feasibility for remote weight assessment. Method: Due to COVID-19 restrictions, participants (n = 150, 100% African American, 79% female, average age 48.2 ± 10.6 years) in an ongoing trial…
Descriptors: Data Collection, Body Weight, Measurement Equipment, Measurement Techniques
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Bono, Rose S.; Barnes, Andrew J.; Lester, Rebecca C.; Cobb, Caroline O. – Health Education & Behavior, 2019
Understanding how two characteristics--flavors and modified risk messages--affect perceptions and subjective effects of electronic cigarettes (e-cigarettes) can inform tobacco control efforts. In two within-subjects studies (N = 17 and N = 19), the effects of e-cigarette flavors (tobacco vs. menthol and unflavored vs. cherry) and hypothetical…
Descriptors: Smoking, Health Behavior, Risk, Advertising
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Chu, Kar-Hai; Shensa, Ariel; Colditz, Jason B.; Sidani, Jaime E.; Hoffman, Beth L.; Sinclair, David; Krauland, Mary G.; Primack, Brian A. – Health Education & Behavior, 2020
Background: The use of electronic cigarettes (e-cigarette) offers potential to facilitate cigarette smoking cessation, yet potentially increases risk of cigarette smoking initiation. This relationship has been primarily modeled in mathematical ways that often do not represent real-world complexities, which could inform decisions regarding local…
Descriptors: Smoking, Electronic Equipment, Risk, Health Behavior
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Lipkus, Isaac M.; Cobb, Caroline O.; Eissenberg, Thomas – Health Education & Behavior, 2020
Background: Waterpipe tobacco smoking is associated with many negative health outcomes due to toxicants produced by heating the tobacco using charcoal or electrical heaters. Little is known about how young adult waterpipe tobacco smokers perceive harms of these heating sources. Aims: To examine young adult waterpipe tobacco smokers' perceived…
Descriptors: Cancer, Health Behavior, Risk, Smoking
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Yang, Bo; Liu, Jiaying; Popova, Lucy – Health Education & Behavior, 2019
Background: Emotions are important in smoking-related communications, but the role of discrete positive and negative emotions in comparative risk messages about combusted and electronic cigarettes (e-cigarettes) is unclear. Method: In an online experiment, 1,202 U.S. adult current smokers or recent quitters were randomized to view one of six…
Descriptors: Smoking, Electronic Equipment, Health Behavior, Behavior Change
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Saunders, Ruth P.; Pfeiffer, Karin; Brown, William H.; Howie, Erin K.; Dowda, Marsha; O'Neill, Jennifer R.; McIver, Kerry; Pate, Russell R. – Health Education & Behavior, 2017
This study investigated the utility of the Study of Health and Activity in Preschool Environments (SHAPES) conceptual model, which targeted physical activity (PA) behavior in preschool children, by examining the relationship between implementation monitoring data and child PA during the school day. We monitored implementation completeness and…
Descriptors: Preschool Education, Physical Activity Level, Preschool Children, Correlation
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Weaver, R. Glenn; Webster, Collin A.; Beets, Michael W.; Brazendale, Keith; Chandler, Jessica; Schisler, Lauren; Aziz, Mazen – Health Education & Behavior, 2018
This study examined the initial effects of a participatory-based, competency-/skill-building professional development workshop for physical education (PE) teachers on the use of physical activity (PA) promotion practices (e.g., eliminating lines, small-sided games) and students' moderate-to-vigorous physical activity (MVPA). A total of 823…
Descriptors: Physical Education, Physical Education Teachers, Physical Activity Level, Workshops
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Thomson, Jessica L.; Landry, Alicia S.; Zoellner, Jamie M.; Connell, Carol; Madson, Michael B.; Molaison, Elaine Fontenot; Yadrick, Kathy – Health Education & Behavior, 2015
The objective of this secondary analysis was to evaluate the utility of several participant adherence indicators for predicting changes in clinical, anthropometric, dietary, fitness, and physical activity (PA) outcomes in a lifestyle intervention, HUB City Steps, conducted in a southern, African American cohort in 2010. HUB City Steps was a…
Descriptors: Life Style, Health Behavior, Attendance, Health Education
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Lytle, Leslie A.; Murray, David M.; Laska, Melissa N.; Pasch, Keryn E.; Anderson, Sarah E.; Farbakhsh, Kian – Health Education & Behavior, 2013
Evidence is building regarding the association between inadequate amounts of sleep and the risk of obesity, especially in younger children. Less is known about the relationship between change in sleep and change in weight during adolescence. The objective of this study was to examine the longitudinal relationship between change in sleep duration…
Descriptors: Obesity, Body Composition, Depression (Psychology), Adolescents
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Beets, Michael W.; Huberty, Jennifer; Beighle, Aaron; Moore, Justin B.; Webster, Collin; Ajja, Rahma; Weaver, Glenn – Health Education & Behavior, 2013
State and national organizations recently developed policies focused on increasing physical activity (PA) in afterschool programs (ASPs). These policies emphasize "activity friendly" environment characteristics that, when present, should lead to higher levels of PA and reduce the amount of time children spend sedentary during an ASP.…
Descriptors: After School Programs, Physical Activity Level, Policy Formation, National Organizations