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Showing 1 to 15 of 22 results Save | Export
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Norman Porticella; Julie S. Cannon; Chung Li Wu; Stuart G. Ferguson; James F. Thrasher; Emily E. Hackworth; Jeff Niederdeppe – Health Education & Behavior, 2024
Underrepresentation of historically marginalized populations in clinical trials continues to threaten the validity of health intervention research. Evidence supports the merits of intercept and other proactive forms of recruitment for achieving more equitable representation. However, researchers also report lower retention and adherence to…
Descriptors: Recruitment, Disproportionate Representation, Medical Research, Compliance (Psychology)
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Plotnikoff, Ronald C.; Costigan, Sarah A.; Kennedy, Sarah G.; Robards, Sara L.; Germov, John; Wild, Cameron – Journal of American College Health, 2019
Objective: To evaluate the effectiveness of interventions targeting alcohol consumption, drug use and smoking for college/university students.Participants: College/University students. Methods: Studies were eligible if: (1)included students attending universities/colleges; (2)implemented in a university/college setting; (3)aimed to improve at…
Descriptors: Intervention, Student Behavior, College Students, Randomized Controlled Trials
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Cummiskey, Kevin; Adams, Bryan; Pleuss, James; Turner, Dusty; Clark, Nicholas; Watts, Krista – Journal of Statistics Education, 2020
Over the last two decades, statistics educators have made important changes to introductory courses. Current guidelines emphasize developing statistical thinking in students and exposing them to the entire investigative process in the context of interesting research questions and real data. As a result, many concepts (confounding, multivariable…
Descriptors: Statistics, Teaching Methods, Inferences, Guidelines
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Bast, Lotus S.; Due, Pernille; Ersbøll, Annette K.; Damsgaard, Mogens T.; Andersen, Anette – Journal of School Health, 2017
Background: Assessment of implementation is essential for the evaluation of school-based preventive activities. Interventions are more easily implemented in schools if detailed instructional manuals, lesson plans, and materials are provided; however, implementation may also be affected by other factors than the intervention itself--for example,…
Descriptors: Institutional Characteristics, Program Implementation, Smoking, Prevention
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Borland, Ron; Li, Lin; Balmford, James – Health Education Research, 2017
Commitments to goals are theorized to affect behavior change outcomes, but competing theories argue for hard to achieve goals and strategic sub-goals as optimum strategies for success. This study aimed to explore whether the nature of the goal affects smoking cessation outcomes. A total of 1043 participants in a randomized controlled trial of…
Descriptors: Smoking, Randomized Controlled Trials, Correlation, Addictive Behavior
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Patten, Christi A.; Boyle, Raymond; Tinkelman, David; Brockman, Tabetha A.; Lukowski, Amy; Decker, Paul A.; D'Silva, Joanne; Lichtenstein, Edward; Zhu, Shu-Hong – Health Education Research, 2017
Evidence-based treatments (e.g. quitlines) are greatly underutilized by smokers limiting their public health impact. A three-session phone intervention for nonsmoking family members and friends (i.e. support persons) was successful for increasing smoker quitline enrollment. To enhance the intervention's potential translatability, in this study, we…
Descriptors: Randomized Controlled Trials, Smoking, Intervention, Adults
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Veldheer, Susan; Hrabovsky, Shari; Yingst, Jessica; Sciamanna, Chris; Berg, Arthur; Foulds, Jonathan – Health Education & Behavior, 2018
Background: Identifying effective relapse prevention interventions is a vital step to help smokers maintain abstinence for the long term. Aims: The purpose of this study is to determine if providing recently quit smokers with self-directed relapse prevention booklets is effective at maintaining abstinence after intensive group smoking cessation…
Descriptors: Randomized Controlled Trials, Smoking, Behavior Modification, Health Behavior
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Carreras, G.; Bosi, S.; Angelini, P.; Gorini, G. – Health Education Research, 2016
The aim of this study was to investigate factors mediating the effects of Luoghi di Prevenzione (LdP) smoking prevention intervention based on social competence and social influence approaches, and characterized by peer-led school-based interventions, out-of-school workshops, school lessons, and by enforcing the school anti-smoking policy.…
Descriptors: Smoking, Intervention, Randomized Controlled Trials, Health Behavior
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Fix, Brian V.; Adkison, Sarah E.; O'Connor, Richard J.; Bansal-Travers, Maansi; Cummings, K. Michael; Rees, Vaughan W.; Hatsukami, Dorothy K. – Health Education Journal, 2017
Objectives: The US Food and Drug Administration (FDA) has regulatory authority for modified risk tobacco product advertising claims. To guide future regulatory efforts, we investigated how variations in modified risk claim advertisements influence consumer perceptions of product risk claims for Camel Snus. Methods: Young people and adults (15-65),…
Descriptors: Advertising, Risk, Smoking, Federal Regulation
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Schwindt, Rhonda; Hudmon, Karen Suchanek; Knisely, Mitchell; Davis, Lorie; Pike, Caitlin – Journal of Drug Education, 2017
Persons with mental illness smoke at rates two to four times higher than do persons without mental illness and comprise 30.9% of the U.S. tobacco market. Given the prevalence of mental illness and the known detrimental effects of tobacco, concerted efforts are needed to promote the use of evidence-based treatment options. We conducted a systematic…
Descriptors: Smoking, Mental Disorders, Health Behavior, Incidence
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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
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Harris, Kari Jo; Bradley-Ewing, Andrea; Goggin, Kathy; Richter, Kimber P.; Patten, Christi; Williams, Karen; Lee, Hyoung S.; Staggs, Vincent S.; Catley, Delwyn – Health Education Research, 2016
Little is known about effective methods to recruit unmotivated smokers into cessation induction trials, the reasons unmotivated smokers agree to participate, and the impact of those reasons on study outcomes. A mixed-method approach was used to examine recruitment data from a randomized controlled cessation induction trial that enrolled 255 adult…
Descriptors: Smoking, Recruitment, Mixed Methods Research, Risk
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Melson, Elniee; Bridle, Christopher; Markham, Wolfgang – Health Education, 2017
Purpose: The purpose of this paper is to report the process evaluation of a pilot randomised control trial of an anti-smoking intervention for Malaysian 13-14-year olds, conducted in 2011/2012. It was hypothesised that trained peer supporters would promote non-smoking among classmates through informal conversations. Design/methodology/approach:…
Descriptors: Foreign Countries, Smoking, Health Behavior, Intervention
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Harrell, Melissa B.; Arora, Monika; Bassi, Shalini; Gupta, Vinay K.; Perry, Cheryl L.; Reddy, K. Srinath – Health Education Research, 2016
To test the efficacy of an intervention to reduce tobacco use among youth (10-19 years old) in slum communities in Delhi, India. This community-based cluster-randomized trial included 14 slums composed of purposely built resettlement colonies and adjacent inhabitant-built Jhuggi Jhopris. Youth in the intervention received a 2 year…
Descriptors: Foreign Countries, Intervention, Program Effectiveness, Smoking
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Kiewik, M.; VanDerNagel, J. E.?L.; Kemna, L. E.?M.; Engels, R. C.?M.?E.; DeJong, C. A.?J. – Journal of Intellectual Disability Research, 2016
Background: Students without intellectual disability (ID) start experimenting with tobacco and alcohol between 12 and 15?years of age. However, data for 12- to 15-year old students with ID are unavailable. Prevention programs, like "prepared on time" (based on the attitude-social influence-efficacy model), are successful, but their…
Descriptors: Smoking, Drinking, Early Adolescents, Adolescents
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