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Kimberly L. Henry; Linda R. Stanley; Randall C. Swaim – Prevention Science, 2024
Reservation-dwelling American Indian adolescents are at exceedingly high risk for cannabis use. Prevention initiatives to delay the onset and escalation of use are needed. The risk and promotive factors approach to substance use prevention is a well-established framework for identifying the timing and targets for prevention initiatives. This study…
Descriptors: Risk, Marijuana, Drug Use, American Indians
Haggerty, Kevin P.; Barkan, Susan E.; Caouette, Justin D.; Skinner, Martie L.; Hanson, Koren G. – Prevention Science, 2023
This study experimentally tested risk behavior outcomes of "Connecting," a low-cost, self-directed, family-based prevention program for families with youth placed in their care by state child welfare agencies. Families caring for youth aged 11 to 15 years from across Washington State were recruited and randomly assigned to either the…
Descriptors: Risk, Behavior, Prevention, Family Programs
Zhao, Xiaoquan; Cai, Xiaomei; Malterud, Andrea – Health Education & Behavior, 2023
Electronic cigarettes are the most widely used tobacco product among youth in the United States. Although rapidly growing, research on effective message strategies for e-cigarette use prevention is still limited. This study examined the relative effectiveness of gain framing versus loss framing in youth-targeting prevention text messages delivered…
Descriptors: Smoking, Prevention, Telecommunications, Handheld Devices
Do, Thuy Quynh N.; Riley, Catharine; Paramsothy, Pangaja; Ouyang, Lijing; Bolen, Julie; Grosse, Scott D. – American Journal on Intellectual and Developmental Disabilities, 2020
Using national data, we examined emergency department (ED) encounters during 2006-2011 for which a diagnosis code for fragile X syndrome (FXS) was present (n = 7,217). Almost half of ED visits coded for FXS resulted in hospitalization, which is much higher than for ED visits not coded for FXS. ED visits among females coded for FXS were slightly…
Descriptors: Hospitals, Genetic Disorders, Gender Differences, At Risk Persons
Xiao Wei; Mengfan Xu; Li Yang; Zihan Gao; Jinke Kuang; Kexin Zhou – Health Education & Behavior, 2024
Background. Health-promoting behaviors and positive lifestyle changes are crucial for effective stroke prevention. However, individuals at high risk of stroke exhibit poor health behavior due to a deficiency of individual motivation. Moreover, there are only a few studies on health-promoting behaviors that have applied behavior change theories in…
Descriptors: Health Promotion, Health Behavior, At Risk Persons, Neurological Impairments
Marian Reiff; Alaina Spiegel; Elizabeth Williams; Brinda Ramesh; Soumya Madabhushi; Batsirai Bvunzawabaya – Journal of College Student Mental Health, 2024
While gatekeeper trainings have demonstrated their effectiveness in appraisals of preparedness, efficacy, and intention to intervene, evidence has been lacking regarding gatekeeper behaviors in real life. The I CARE training aims to increase intervention in real-world situations involving suicidality through informational and experiential…
Descriptors: Intervention, Suicide, Experiential Learning, Skill Development
Sarah Batbold; Gabrielle Cummings; Kirsten A. Riggan; Marsha Michie; Megan Allyse – Journal of Intellectual Disabilities, 2024
Individuals with Down syndrome (DS) experience increased risk of Alzheimer's disease (AD). Recent studies suggest that a vaccine against AD may be forthcoming. Parental buy-in is critical to the success of any intervention in this population, as adults with DS often rely on familial support. This study aims to characterize parents' perceptions of…
Descriptors: Parent Attitudes, Down Syndrome, Children, Alzheimers Disease
Primi, Caterina; Donati, Maria Anna – Canadian Journal of Science, Mathematics and Technology Education, 2022
Preventive efforts are necessary to reduce the risk for problem gambling among adolescents, especially among more at-risk youth. However, only a small proportion of the preventive initiatives implemented in the field of adolescent problem gambling are based on robust theoretical models and have been evaluated in their efficacy. By referring to the…
Descriptors: Prevention, Behavior Problems, Adolescents, At Risk Persons
Avanti Adhia; Dylan Pugh; Ruby Lucas; Megan Rogers; Jessi Kelley; Betty Bekemeier – Journal of School Health, 2024
Background: Sexual violence (SV) is a serious public health concern, and lesbian, gay, bisexual, transgender, queer and questioning (LGBTQ+) youth report higher rates than their heterosexual and cisgender peers. This qualitative study aimed to understand LGBTQ+ students' perspectives on how middle and high school environments can better prevent…
Descriptors: Adolescents, LGBTQ People, Violence, Sexual Abuse
Elaine Walsh; Zoe Tapp; Emma Mallonee; Camille Hakansson; Ambyr Leigh; Megan Reibel – Journal of School Health, 2024
Background: Adolescent suicide is a public health issue, and school is an ideal setting for prevention activities. LEARN is a peer-led gatekeeper training for high school personnel, parents, and students. The purpose of this study was to evaluate the effectiveness of LEARN as a gatekeeper training. Methods: Paired t tests were used to compare pre-…
Descriptors: Program Implementation, Suicide, Prevention, High School Students
Salk, Rachel H.; Moses-Kolko, Eydie L.; Chugani, Carla D.; Mastruserio, Susan; Wentroble, Erin; Blackburn, Vint; Poling, Kimberly; Sakolsky, Dara; Brent, David; Goldstein, Tina R. – Journal of American College Health, 2023
Objective: College counseling centers (CCCs) have limited capacity to accommodate high-risk students who need more intensive care than traditional outpatient treatment. We describe an Intensive Outpatient Program (IOP) to meet the specialized needs of suicidal undergraduates. Participants: Suicidal undergraduates aged 18--24. Methods:…
Descriptors: Suicide, Undergraduate Students, Clinics, At Risk Persons
Bogner, Jaclyn; Hadley, Wendy; Franz, Daschel; Barker, David H.; Houck, Christopher D. – Journal of Early Adolescence, 2023
"Sexting" (electronic transmission of sexual pictures/messages) among early adolescents is associated with early sexual activity, a marker of increased sexual risk. The current study is a secondary analysis that examined the longitudinal relationship between sexting and first-time sex among a sample of early adolescents deemed "at…
Descriptors: Telecommunications, Handheld Devices, Photography, At Risk Persons
Tein, Jenn-Yun; Wang, Frances L.; Oro, Veronica; Kim, Hanjoe; Shaw, Daniel; Wilson, Melvin; Lemery-Chalfant, Kathryn – Developmental Psychology, 2023
This study is a secondary data analysis that extends knowledge about the effects of the early childhood Family Check-Up (FCU) intervention to trajectories of general psychopathology problems (p factor) across early and middle childhood, and effects on adolescent psychopathology and polydrug use. The Early Steps Multisite study (ClinicalTrials.gov…
Descriptors: Young Children, Children, Adolescents, Psychopathology
Nkwonta, Chigozie A.; Dawson, Robin M.; Adegboyega, Adebola – Journal of American College Health, 2022
Objective: Half of new human papilloma virus ( (HPV)) infections occur between the ages of 15 and 24. As preventive measures are underutilized globally; international university students are at particular risk for HPV infection and sequelae. The study aim was to explore HPV knowledge and preventive behaviors in this population. Participants:…
Descriptors: Sexually Transmitted Diseases, Foreign Students, At Risk Persons, Knowledge Level
McNeish, Daniel; Peña, Armando; Vander Wyst, Kiley B.; Ayers, Stephanie L.; Olson, Micha L.; Shaibi, Gabriel Q. – Prevention Science, 2023
Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post hoc adjustments to…
Descriptors: Prevention, Intervention, Growth Models, Program Effectiveness