Background: Individuals with mental health disorders face major barriers in accessing smoking cessation care, often due to the stigmas associated with mental disorders and addiction. Consequently, accessible population-based smoking cessation interventions are needed for this vulnerable group.
Objective: This secondary analysis utilized data from a 12-month randomized trial to examine whether an acceptance and commitment therapy-based app (iCanQuit) demonstrated greater efficacy, engagement, and satisfaction compared to a United States (US) Clinical Practice Guidelines-based app (QuitGuide) in helping adults with mental health disorders quit smoking.
Cleft Palate Craniofac J
January 2025
To describe the frequency and types of hearing loss in children with syndromic and non-syndromic craniosynostosis. Retrospective cohort study. Large tertiary pediatric hospital.
View Article and Find Full Text PDFIntroduction: Currently, few prospective guidelines exist for the surveillance of children with low-risk neuroblastic tumors (LRNBTs), including ganglioneuroma or ganglioneuroblastoma intermixed. This study aims to describe our institutional approach to LRNBT surveillance following surgical resection or nonoperative management. We hypothesize that length of surveillance can be reduced due to low recurrence risk.
View Article and Find Full Text PDFBackground: Abdominoplasty may be considered a procedure performed after a patient has already lost weight, but many surgeons have clinically observed that patients continue to lose weight in the postoperative period. This study sought to quantify continued weight loss after abdominoplasty procedures.
Methods: A retrospective chart review was conducted on all abdominoplasty cases performed by the senior author between 2018 and 2022.
Globally, cigarette smoking results in over 8 million premature annual deaths. Addressing this issue requires high-impact, cost-effective population-level interventions for smoking cessation. Conversational chatbots offer a potential solution given the recent advancements in machine learning and large language models.
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