Publications by authors named "Michael Businelle"

Interoceptive exposure (IE) exercises are underused, especially in people with chronic physical health problems. Secondary data analyses were conducted to examine the use of and acute responses to IE exercises in individuals with and without a history of chronic physical health problem(s). Participants ( = 413; Mage = 38.

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Objective: Cannabis use has increased in the United States as states have legalized/decriminalized recreational and/or medicinal use. The primary aim of this study was to examine daily associations between cannabis use and health (physical activity [PA]) and substance use (alcohol consumption, cigarette use) behaviors.

Method: Data from a 28-day nationwide study that prompted daily ecological momentary assessments (EMAs) were used to assess daily cannabis use, moderate-to-vigorous PA (MVPA), alcohol containing drinks consumed, and cigarettes smoked.

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  • - Black individuals who smoke experience higher rates of tobacco-related health issues, which are influenced by stress related to their minority status and anxiety sensitivity (AS).
  • - A study tested a smartphone app, the Mobile Anxiety Sensitivity Program for Smoking (MASP), designed to help Black smokers with high AS quit smoking and reduce their AS.
  • - The trial with 24 participants showed high app usage, excellent retention, good participant feedback, and a significant reduction in anxiety sensitivity, with 25% of participants achieving short-term smoking abstinence.
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  • The study explores factors influencing adherence to smoking cessation treatments among socioeconomically disadvantaged adults in Oklahoma, focusing on personal and clinical characteristics.
  • Participants had a mean age of 53, with over 44% reporting depression, and factors like self-efficacy and age positively affected counseling adherence, while menthol cigarette use and depression were linked to lower adherence.
  • The findings suggest the need for tailored interventions addressing social and mental health issues to improve smoking cessation outcomes for underserved groups, advocating for more comprehensive approaches in future programs.
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Purpose: Cancer-related pain is prevalent among people with advanced cancer. To improve accessibility and engagement with pain-cognitive behavioral therapy (pain-CBT), we developed and tested a serious game hosted within a mobile health intervention that delivers pain-CBT and pharmacologic support. The game focuses on teaching and practicing cognitive restructuring (CR), a central pain-CBT intervention component.

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Background: Prostate cancer is the most diagnosed cancer in Black/African American men (AA) and the second‑leading cause of cancer-related deaths. A prostate-specific antigen (PSA) blood test is an early detection screening tool for prostate cancer, but uptake of PSA screening remains low among AA men. Greater PSA screening rates among AA men, coupled with earlier treatment, may reduce disparities in prostate cancer outcomes, including mortality.

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Youth experiencing homelessness (YEH) face challenges that increase their susceptibility to HIV/STIs. Nurse case management is effective in managing the complex needs of populations experiencing homelessness and reducing HIV risk. A randomized wait-list control study conducted between September 2019 to May 2023 evaluated the CAYA "Come As You Are" intervention.

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Background: In response to the opioid epidemic, federal agencies have stressed the importance of targeted naloxone distribution through avenues such as Opioid Overdose Education and Naloxone Distribution (OEND). OEND effectively reduces mortality by training laypersons to respond to overdose situations. Despite demonstrated effectiveness, OEND remains underutilized.

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  • Persistent Poverty Counties (PPCs) in the U.S. have high cancer mortality rates, partly due to high smoking rates, with this study focusing on Oklahoma Tobacco Helpline (OTH) participants who smoke daily.
  • The study used a randomized controlled trial design to evaluate the effectiveness of OTH treatments versus OTH treatments combined with financial incentives (OTH+FI) to help participants quit smoking.
  • Results showed that those in the OTH+FI group were significantly more likely to achieve smoking abstinence and complete more coaching calls compared to the standard OTH group, with high retention rates noted across both groups.
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Functional concurrent, or varying-coefficient, regression models are a form of functional data analysis methods in which functional covariates and outcomes are collected concurrently. Two active areas of research for this class of models are identifying influential functional covariates and clustering their relations across observations. In various applications, researchers have applied and developed methods to address these objectives separately.

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Background: African American/Black (hereafter referred to as Black) persons who smoke constitute a tobacco disparities group in the United States. Within the Black population, female smokers experience a disproportionate percentage of these disparities and are less likely to quit cigarettes than their male counterparts. Two factors implicated in female smokers' relatively worse quit success are (1) motives to smoke to reduce negative affect and (2) expectancies that smoking will reduce negative affect.

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Article Synopsis
  • - The study investigates how different factors in smartphone-based ecological momentary assessment (EMA) design affect completion rates, aiming to identify the best combinations for participant engagement and compliance.
  • - Researchers used a factorial design to evaluate five design factors, such as the number of questions and payment type, across 32 different conditions with participants completing EMAs for 28 days.
  • - The participant pool consisted of 411 individuals, primarily female and White, with the study examining how demographic factors influenced EMA completion rates alongside design factors.
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Background: Tobacco quitlines provide effective resources (eg, nicotine replacement therapy, smoking cessation counseling, and text and web-based support) for those who want to quit smoking in the United States. However, quitlines reach approximately only 1%-3% of people who smoke each year. Novel, smartphone-based, and low-burden interventions that offer 24/7 access to smoking cessation resources that are tailored to current readiness to quit may increase appeal, reach, and effectiveness of smoking cessation interventions.

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Objective: To pilot test QuitGuide for Natives, a culturally aligned version of the National Cancer Institute's QuitGuide smartphone app for smoking cessation.

Methods: This randomised controlled trial was conducted remotely during 2022-2023. American Indian adults who smoked and resided in the Midwest (n=115) were randomised to QuitGuide for Natives or the general audience QuitGuide smartphone-based intervention.

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Importance: Socioeconomically disadvantaged individuals (ie, those with low socioeconomic status [SES]) have difficulty quitting smoking and may benefit from incentive-based cessation interventions.

Objectives: To evaluate the impact of incentivizing smoking abstinence on smoking cessation among adults with low SES.

Design, Setting, And Participants: This study used a 2-group randomized clinical trial design.

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Article Synopsis
  • Creating intervention messages for smoking cessation traditionally requires significant effort, but large language models (LLMs) like ChatGPT may provide an automated solution.
  • The study explored how to improve LLMs to replicate expert writing and whether their outputs meet clinical standards through three distinct research studies.
  • Findings indicate that larger LLMs can produce effective, credible, and persuasive cessation messages, suggesting they can support smoking cessation efforts in clinical settings.
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Background: Efficacy of smartphone-based interventions depends on intervention content quality and level of exposure to that content. Smartphone-based survey completion rates tend to decline over time; however, few studies have identified variables that predict this decline over longer-term interventions (eg, 26 weeks).

Objective: This study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial.

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  • A pilot study was conducted to test a smartphone app aimed at helping smokers who are not ready to quit, assessing its feasibility and effectiveness in inducing cessation attempts.
  • Participants were divided into two groups receiving the Phoenix app (with or without nicotine replacement therapy) and a control group that got unrelated messages, with all groups completing weekly surveys over 26 weeks.
  • Results showed that the Phoenix app recipients were more engaged, set more quit dates earlier, and had higher rates of abstinence and medication use compared to the control group, suggesting the app may effectively support smoking cessation.
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There is widespread empirical evidence that the COVID-19 pandemic contributed to elevated risk of mental and physical health symptoms and decreased quality of life. The present investigation sought to examine if individual differences in anxiety sensitivity was associated with mental health, psychosomatic, and well-being among a sample of US adults during a 6-month period early in the COVID-19 pandemic. Employing longitudinal research methodology, we tested the hypothesis that the anxiety sensitivity global factor would be related to increased risk of anxiety, depression, fatigue, and lower well-being.

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The prevalence of alcohol use disorders is higher amongst adults experiencing homelessness (AEH) compared with domiciled adults. Greater exposure to heavy drinkers increases personal risk for heavy alcohol use. AEH spend substantial periods of time at shelters and report greater pressure to use alcohol when near shelter locations, as well as greater negative affect when near a shelter.

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