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Showing 1 to 15 of 34 results Save | Export
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Avci, Dilek; Gündogdu, Nurcan Akgül; Dönmez, Recep Hakan; Avci, Fikret Eren – Health Education Research, 2023
The group at the highest risk of smartphone addiction is adolescents. In particular during the coronavirus disease 2019 pandemic, factors such as conducting education online, curfew and the increase in the monotonous time spent at home have led to an increase in the use of smartphones among adolescents. Therefore, this study aimed to determine the…
Descriptors: Addictive Behavior, Telecommunications, Handheld Devices, Peer Teaching
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S. H. Choi; T. Templin – Health Education Research, 2023
The purpose of this study was to elicit preferences for the 'format' and 'content' of tobacco treatment among college student smokers, using an online discrete choice experiment (DCE) survey. A DCE survey, supplemented with a think-aloud method, was conducted among 54 college students who smoked combustible cigarettes and/or e-cigarettes.…
Descriptors: Smoking, College Students, Health Behavior, Intervention
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Zijlstra, Daniëlle N.; Hoving, Ciska; Bolman, Catherine; Muris, Jean W. M.; De Vries, Hein – Health Education Research, 2021
The use of evidence-based smoking cessation interventions (SCIs) can significantly increase the number of successful smoking cessation attempts. To obtain an overview of the knowledge and viewpoints on the effectiveness and use of SCIs, a three-round online Delphi study was conducted among researchers and primary care professionals (PCPs). The…
Descriptors: Smoking, Evidence Based Practice, Intervention, Behavior Modification
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Phan, Lilianna; Kuo, Charlene Chao-Li; Fryer, Craig S.; Smith-Bynum, Mia A.; Clark, Pamela I.; Butler, James, III – Health Education Research, 2021
Single cigarette use (i.e. loosies, loose ones, singles) poses risks for smoking continuation among urban, African American smokers. There is, however, limited research to inform health education interventions addressing this behavior. We conducted 25 in-depth interviews with urban, African American users (ages 20-58 years) from Baltimore, MD and…
Descriptors: Smoking, Urban Population, African Americans, Adults
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Abbott, Laurie S.; Slate, Elizabeth H.; Lemacks, Jennifer L. – Health Education Research, 2019
Cardiovascular disease (CVD) is a major cause of death among people living in the United States. Populations, especially minorities, living in the rural South are disproportionately affected by CVD and have greater CVD risk, morbidity and mortality. Culturally relevant cardiovascular health programs implemented in rural community settings can…
Descriptors: Heart Disorders, Death, At Risk Persons, Minority Groups
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Kindt, Karlijn C. M.; Kleinjan, Marloes; Janssens, Jan M. A. M.; Scholte, Ron H. J. – Health Education Research, 2016
As restructuring a negative cognitive style is a central skill taught in many depression prevention programs, we tested whether a universal prevention program evoked a change in negative cognitive style in adolescents. In addition, we examined distinct developmental trajectories of negative cognitive styles and assessed whether research condition…
Descriptors: Early Adolescents, Depression (Psychology), Cognitive Restructuring, Cognitive Style
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Guillemont, Juliette; Cogordan, Chloé; Nalpas, Bertrand; Nguyen-Thanh, Vi?t; Richard, Jean-Baptiste; Arwidson, Pierre – Health Education Research, 2017
This study aims to evaluate the effectiveness of a web-based intervention to reduce alcohol consumption among hazardous drinkers. A two-group parallel randomized controlled trial was conducted among adults identified as hazardous drinkers according to the Alcohol Use Disorders Identification Test. The intervention delivers personalized normative…
Descriptors: Intervention, Web Based Instruction, Drinking, Alcohol Abuse
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Bailey, A. N.; Porter, K. J.; Hill, J. L.; Chen, Y.; Estabrooks, P. A.; Zoellner, J. M. – Health Education Research, 2016
SIP"smart"ER is a 6-month behavioral intervention designed using a health literacy universal precautions approach that has been found effective at reducing sugary beverage intake in rural, low socioeconomic adults. The purpose of this mixed-methods study is to determine if health literacy status influenced participants' satisfaction and…
Descriptors: Health Behavior, Eating Habits, Behavior Modification, Intervention
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McNamara, K. P.; O'Reilly, S. L.; George, J.; Peterson, G. M.; Jackson, S. L.; Duncan, G.; Howarth, H.; Dunbar, J. A. – Health Education Research, 2015
Background: Delivery of cardiovascular disease (CVD) prevention programs by community pharmacists appears effective and enhances health service access. However, their capacity to implement complex behavioural change processes during patient counselling remains largely unexplored. This study aims to determine intervention fidelity by pharmacists…
Descriptors: Intervention, Fidelity, Behavior Change, Pharmacy
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Ormston, R.; van der Pol, M.; Ludbrook, A.; McConville, S.; Amos, A. – Health Education Research, 2015
The "quit4u" stop smoking service (SSS) was developed by National Health Service (NHS) Tayside for smokers in deprived areas of Dundee (UK). quit4u combined behavioural support and pharmacotherapy with financial incentives for each week that participants remained quit. A quasi-experimental study was undertaken with smokers using quit4u…
Descriptors: Program Descriptions, Health Promotion, Smoking, Foreign Countries
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Bamani, Sanoussi; Toubali, Emily; Diarra, Sadio; Goita, Seydou; Berte, Zana; Coulibaly, Famolo; Sangare, Hama; Tuinsma, Marjon; Zhang, Yaobi; Dembele, Benoit; Melvin, Palesa; MacArthur, Chad – Health Education Research, 2013
The National Blindness Prevention Program in Mali has broadcast messages on the radio about trachoma as part of the country's trachoma elimination strategy since 2008. In 2011, a radio impact survey using multi-stage cluster sampling was conducted in the regions of Kayes and Segou to assess radio listening habits, coverage of the broadcasts,…
Descriptors: Student Motivation, Prevention, Health Behavior, Behavior Modification
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Camenga, Deepa R.; Hieftje, Kimberly D.; Fiellin, Lynn E.; Edelman, E. Jennifer; Rosenthal, Marjorie S.; Duncan, Lindsay R. – Health Education Research, 2014
Few studies have explored the application of message framing to promote health behaviors in adolescents. In this exploratory study, we examined young adolescents' selection of gain- versus loss-framed images and messages when designing an HIV-prevention intervention to promote delayed sexual initiation. Twenty-six adolescents (aged 10-14 years)…
Descriptors: Early Adolescents, Health Promotion, Health Behavior, Sexuality
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Kelly, Stephanie A.; Oswalt, Krista; Melnyk, Bernadette Mazurek; Jacobson, Diana – Health Education Research, 2015
Fidelity in implementing an intervention is critical to accurately determine and interpret the effects of an intervention. It is important to monitor the manner in which the behavioral intervention is implemented (e.g. adaptations, delivery as intended and dose). Few interventions are implemented with 100% fidelity. In this study, high school…
Descriptors: Intervention, Life Style, Health Promotion, High School Students
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Wasserkampf, A.; Silva, M. N.; Santos, I. C.; Carraça, E. V.; Meis, J. J. M.; Kremers, S. P. J.; Teixeira, P. J. – Health Education Research, 2014
This study analyzed psychosocial predictors of the Theory of Planned Behavior (TPB) and Self-Determination Theory (SDT) and evaluated their associations with short- and long-term moderate plus vigorous physical activity (MVPA) and lifestyle physical activity (PA) outcomes in women who underwent a weight-management program. 221 participants (age…
Descriptors: Females, Body Weight, Self Determination, Predictor Variables
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Mosack, Katie E.; Patterson, Leslie; Brouwer, Amanda M.; Wendorf, Angela R.; Ertl, Kristyn; Eastwood, Dan; Morzinski, Jeffrey; Fletcher, Kathlyn; Whittle, Jeff – Health Education Research, 2013
Volunteer peer leaders (PLs) benefit from their involvement in health interventions but we know little about how they compare with other non-PL volunteers or with the intervention recipients themselves. We randomized 58 veterans' service organizations' posts (e.g. VFW) to peer- versus professionally led self-management support interventions. Our…
Descriptors: Health Behavior, Intervention, Behavior Modification, Feedback (Response)
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