Suchergebnisse

Purpose To investigate sleep quantity as a moderator of vaping and self-reported suicidality among adolescents. Design Cross-sectional. Setting: United States high schools. Sample 10,520 high-school students with complete data on the primary outcome of suicide attempt in the past year (76.9% response rate). Measures 2019 Youth Risk Behaviors Survey. Analysis Logistic regression to examine main effects and potential moderation. Results Students with under seven sleep hours on school nights (OR = 2.6; 95% CI = 2.1-3.3) and who vaped in the past month (OR = 3.0; 95% CI = 2.1-3.9) had higher odds of attempting suicide in the last year. Sleep quantity moderated the relationship between vaping and suicidal thoughts in the past year (P = .01) but did not moderate the relationship between vaping and a suicide plan ( P = .15) or suicide attempts ( P = .06). Specifically, vaping had a smaller effect on suicidal thoughts among students who slept under seven hours on school nights (OR = 1.8) compared to the descriptively larger effect among participants with more sleep (OR = 2.5). Conclusions Students who vape or report low sleep quantity would be ideal participants in suicide prevention interventions as they may be at higher risk for suicidality. Organizations implementing sleep or vaping interventions should incorporate information regarding the higher odds of suicide among students with low sleep quantity or vaping habits.

Purpose: To investigate how mode of entry into a quitline influences program utilization and quit outcomes among clients seeking cessation services. Design: This is a retrospective analysis of clients receiving quitline services from January 2011 to June 2016. Setting: The study was conducted at the Arizona Smokers' Helpline. Participants: Enrolled clients completed a 7-month follow-up (N = 18 650). Measures: The independent variable was referral mode of entry (ie, proactive, passive, and self-referral). Outcome variables included tobacco cessation medication use, number of coaching sessions completed, and 30-day tobacco abstinence at 7 months. Analysis: Logistic regression was used to analyze tobacco abstinence after controlling for potential confounders. Results: Compared to self-referred clients, proactively referred clients were least likely (odds ratio [OR]: 0.88; 95% confidence interval [CI]: 0.81-0.97), whereas passively referred clients were most likely (OR: 1.14; 95% CI: 1.00-1.30) to report tobacco abstinence. Proactively referred (OR: 0.79; 95% CI: 0.70-0.88), but not passively referred, clients were 21% less likely to report tobacco cessation medication use than self-referred clients. Conclusion: Proactive referrals are associated with lower utilization of tobacco cessation medication and less successful quit outcomes; however, provider referrals are critical to reaching tobacco users who may have more significant health risks and barriers to quitting. Examining potential barriers among both providers and provider-referred clients is needed to inform improvements in training providers on brief interventions for tobacco cessation.