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Benson L, Chen M, De La Torre I, Hébert ET, Alexander A, Ra CK, Kendzor DE, Businelle MS. Associations between morning affect and later-day smoking urges and behavior. Psychol Addict Behav 2024; 38:277-295. [PMID: 38095939 PMCID: PMC11065619 DOI: 10.1037/adb0000970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
OBJECTIVE Affective experiences are associated with smoking urges and behavior. Few studies have examined the temporal nature of these associations within a day, such as whether positive and negative affect in the morning are associated with smoking urges and behavior later in the day. METHOD Participants (N = 63; MAge = 50 years, 48% female; 60% White) were randomized into one of three smoking cessation interventions and answered up to five daily ecological momentary assessments for 28 days during a quit attempt (M = 21.0 days, SD = 7.1). Before analysis, scores for morning positive and negative affect and later-day smoking urges and behavior were calculated. RESULTS On days when individuals' morning positive affect was higher than usual, later-day smoking urges tended to be lower than usual. In contrast, on days when individuals' morning negative affect was higher than usual, later-day smoking urges tended to be higher than usual, and smoking was more likely. Further, individuals who had higher characteristic morning positive affect tended to have less intense later-day smoking urges, whereas those who tended to have higher characteristic morning negative affect tended to have more intense later-day smoking urges. CONCLUSIONS Morning positive and negative affect were associated with later-day smoking urges, and morning negative affect was related to later-day smoking behavior. Future research should examine whether interventions that boost positive affect on mornings when it is lower than usual and attenuate negative affect on mornings when it is higher than usual, may reduce the intensity of smoking urges and the likelihood of smoking later in the day. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Lizbeth Benson
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Meng Chen
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center
| | - Irene De La Torre
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Emily T. Hébert
- Department of Health Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston School of Public Health, Austin, TX, United States
| | - Adam Alexander
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Chaelin K. Ra
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Rutgers Cancer Institute of New Jersey, RWJ Medical School, Rutgers University, New Brunswick, NJ
| | - Darla E. Kendzor
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael S. Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Bejarano G, Bluestein MA, Tackett AP, Duano J, Rawls S, Ahluwalia JS, Vandewater EA, Hébert ET. Factors Associated With Successful E-Cigarette Cessation Among a Convenience Sample of Adult Users. Subst Use Misuse 2024; 59:1126-1132. [PMID: 38503709 PMCID: PMC11017730 DOI: 10.1080/10826084.2024.2320395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
Background: A growing body of literature suggests that many people who use e-cigarettes become dependent and have difficulty quitting. Most people who use e-cigarettes have interest in quitting, yet there is currently a lack of evidence to inform interventions for e-cigarette cessation. Objective: The purpose of this study was to identify factors associated with successful e-cigarette quit attempts among a large sample of people who use e-cigarettes. Methods: Participants (n=586) were people who use e-cigarettes who reported at least one lifetime attempt to quit their e-cigarette use. Adjusted logistic regression models were performed to examine differences in e-cigarette use characteristics and quit methods between people who currently use e-cigarettes and who quit e-cigarettes. Results: Most participants were people who currently use e-cigarettes and only 27.5% reported successfully quitting. Most participants (90.6%) used e-cigarettes that contained nicotine, and over half (54.0%) used closed-system e-cigarette devices with replaceable pre-filled pods or cartridges. The quit method most commonly used overall (63.1%) and for people who quit e-cigarettes (70.8%) was cold turkey. Past 30-day cigarette use and past 30-day other tobacco use was significantly associated with reduced odds of quitting, and there were no e-cigarette characteristics significantly associated with successful cessation. Nicotine replacement therapy was the only e-cigarette cessation method that was significantly associated with increased odds of quitting after adjusting for past 30-day cigarette and other tobacco use. Conclusions: These results suggests that cigarette use, other tobacco use, and quit method used may significantly influence the likelihood of e-cigarette cessation. Future research is needed to determine the effectiveness of interventions for e-cigarette cessation using nicotine replacement therapy.
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Affiliation(s)
- Geronimo Bejarano
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX
| | - Meagan A. Bluestein
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX
| | - Alayna P. Tackett
- Institute for Addiction Science, University of Southern California, Los Angeles, CA
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA
| | - Jaimie Duano
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX
| | - Shelby Rawls
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX
| | - Jasjit S. Ahluwalia
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island
- Legorreta Cancer Center at Brown University, Providence, Rhode Island
| | | | - Emily T. Hébert
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX
- Department of Health Promotion and Behavioral Sciences, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX
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Lee DN, Bluestein MA, Stevens EM, Tackett AP, Mathews AJ, Hébert ET. Impact of Financial Disclosures and Health Warnings on Youth and Young Adult Perceptions of Pro-E-cigarette Instagram Posts. Nicotine Tob Res 2024; 26:S13-S18. [PMID: 38366339 PMCID: PMC10873497 DOI: 10.1093/ntr/ntad219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 10/05/2023] [Accepted: 10/31/2023] [Indexed: 02/18/2024]
Abstract
INTRODUCTION We examined the impact of financial disclosures and warning labels on pro-e-cigarette Instagram posts and their association with attitudes toward the ad and product among youth and young adults. METHODS During March to May 2021, we conducted a factorial experiment using an online convenience sample of youth and young adults (N = 1687, Mage = 21.54). Participants were randomized to one of four conditions: pro-e-cigarette Instagram posts with only a financial disclosure, only a warning label, both a financial disclosure + warning label, or no financial disclosure or warning label. After viewing the posts, participants answered questions regarding their attitude toward the ad and the product. We used one-way ANOVA to estimate the association of condition on outcomes controlling for demographics. RESULTS Young adults who viewed Instagram posts with only a financial disclosure reported more positive attitudes toward the ad than those who viewed posts with both a financial disclosure + warning label (p < .05). Young adults who viewed posts with only a financial disclosure reported more positive attitudes toward the product than those who viewed posts with only a warning label, both a financial disclosure + warning label, and without either (ps < .05). Differences were not statistically significant for youth. E-cigarette use status was associated with increased positive attitudes toward the ad (p < .001) and product (p < .001) for all participants. CONCLUSIONS Our results can inform policy interventions to mitigate the effects of e-cigarette social media marketing among youth and young adults. Including financial disclosures may not decrease appeal of e-cigarettes compared to posts without either. IMPLICATIONS Findings from the study suggest that a warning label may be more effective in reducing the effects of pro-e-cigarette social media posts than a financial disclosure among young adults. Public health officials should examine additional strategies beyond financial disclosures and warning labels (eg, social media peer mentoring program) to offset the persuasive effects of pro-e-cigarette social media marketing posts on young people. Additional policy interventional efforts are needed to limit the impact of e-cigarette social media marketing.
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Affiliation(s)
- Donghee N Lee
- Department of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, UMass Chan Medical School, Worcester, MA, USA
| | - Meagan A Bluestein
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston School of Public Health, Austin, TX, USA
| | - Elise M Stevens
- Department of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, UMass Chan Medical School, Worcester, MA, USA
| | - Alayna P Tackett
- Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Ashley J Mathews
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Emily T Hébert
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston School of Public Health, Austin, TX, USA
- Department of Health Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston School of Public Health, Austin, TX, USA
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Businelle MS, Perski O, Hébert ET, Kendzor DE. Mobile Health Interventions for Substance Use Disorders. Annu Rev Clin Psychol 2024; 20. [PMID: 38346293 DOI: 10.1146/annurev-clinpsy-080822-042337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
Substance use disorders (SUDs) have an enormous negative impact on individuals, families, and society as a whole. Most individuals with SUDs do not receive treatment because of the limited availability of treatment providers, costs, inflexible work schedules, required treatment-related time commitments, and other hurdles. A paradigm shift in the provision of SUD treatments is currently underway. Indeed, with rapid technological advances, novel mobile health (mHealth) interventions can now be downloaded and accessed by those that need them anytime and anywhere. Nevertheless, the development and evaluation process for mHealth interventions for SUDs is still in its infancy. This review provides a critical appraisal of the significant literature in the field of mHealth interventions for SUDs with a particular emphasis on interventions for understudied and underserved populations. We also discuss the mHealth intervention development process, intervention optimization, and important remaining questions. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 20 is May 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Michael S Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA;
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Olga Perski
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Emily T Hébert
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Houston, Austin, Texas, USA
| | - Darla E Kendzor
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA;
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
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Cristol BA, Clendennen SL, Hébert ET, Harrell MB. Nicotine dependence among young adults: Comparing exclusive ENDS users to exclusive cigarette smokers. Addict Behav 2024; 149:107897. [PMID: 37924585 DOI: 10.1016/j.addbeh.2023.107897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/25/2023] [Accepted: 10/26/2023] [Indexed: 11/06/2023]
Abstract
PURPOSE No studies of young adults have compared symptoms of nicotine dependence among exclusive past 30-day (P30D) ENDS users versus exclusive P30D cigarette smokers. METHODS Participants at Wave 14 (Fall 2021) of The Texas Adolescent and Tobacco Marketing Surveillance System (TATAMS) (n = 2,341; mean age = 20.95 years old) who reported P30D exclusive ENDS use (n = 212) and P30D exclusive cigarette smoking (n = 46). Symptoms of nicotine dependence were measured with the Hooked On Nicotine Checklist (the 10-item HONC scale). An independent samples t-test compared average HONC scores between groups, and a Pearson (or Fisher's Exact) Chi-Square (X2) test compared the prevalence of symptom(s) between groups. RESULTS The average HONC score was significantly higher for exclusive P30D ENDS users than exclusive P30D cigarette smokers (3.51 vs. 1.91, p ≤ 0.001). Compared to exclusive P30D cigarette smokers, a significantly higher proportion of exclusive P30D ENDS users reported having felt addicted (45.28% vs. 15.22%, p ≤ 0.001), having strong cravings (50.00% vs. 28.26%, p = 0.007), difficulty not using in prohibited places (i.e., school or work) (24.06% vs. 4.35%, p = 0.002), difficulty concentrating (21.23% vs. 6.52%, p = 0.021), and feeling nervous, restless, or anxious (28.77% vs. 10.87%, p = 0.012). CONCLUSIONS Symptoms of nicotine dependence were elevated among young adults who were exclusive P30D users of ENDS relative to exclusive P30D cigarette smokers.
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Affiliation(s)
- Benjamin A Cristol
- The University of Texas Health Science Center at Houston, School of Public Health, Austin, USA.
| | - Stephanie L Clendennen
- The University of Texas Health Science Center at Houston, School of Public Health, Austin, USA
| | - Emily T Hébert
- The University of Texas Health Science Center at Houston, School of Public Health, Austin, USA
| | - Melissa B Harrell
- The University of Texas Health Science Center at Houston, School of Public Health, Austin, USA
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Sifat M, Hébert ET, Ahluwalia JS, Businelle MS, Waring JJC, Frank-Pearce SG, Bryer C, Benson L, Madison S, Planas LG, Baranskaya I, Kendzor DE. Varenicline Combined With Oral Nicotine Replacement Therapy and Smartphone-Based Medication Reminders for Smoking Cessation: Feasibility Randomized Controlled Trial. JMIR Form Res 2023; 7:e48857. [PMID: 37889541 PMCID: PMC10638635 DOI: 10.2196/48857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 07/18/2023] [Accepted: 08/08/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Varenicline and oral nicotine replacement therapy (NRT) have each been shown to increase the likelihood of smoking cessation, but their combination has not been studied. In addition, smoking cessation medication adherence is often poor, thus, challenging the ability to evaluate medication efficacy. OBJECTIVE This study examined the effects of combined varenicline and oral NRT and smartphone medication reminders on pharmacotherapy adherence and smoking abstinence among adults enrolled in smoking cessation treatment. METHODS A 2×2 factorial design was used. Participants (N=34) were randomized to (1) varenicline + oral NRT (VAR+NRT) or varenicline alone (VAR) and (2) smartphone medication reminder messages (REM) or no reminder messages (NREM) over 13 weeks. Participants assigned to VAR+REM received varenicline reminder prompts, and those assigned to VAR+NRT+REM also received reminders to use oral NRT. The other 2 groups (VAR+NREM and VAR+NRT+NREM) did not receive medication reminders. Participants were not blinded to intervention groups. All participants received tobacco cessation counseling. Smartphone assessments of smoking as well as varenicline and NRT use (if applicable) were prompted daily through the first 12 weeks after a scheduled quit date. Descriptive statistics were generated to characterize the relations between medication and reminder group assignments with daily smoking, daily varenicline adherence, and daily quantity of oral NRT used. Participants completed follow-up assessments for 26 weeks after the quit date. RESULTS Participants were predominantly White (71%), and half were female (50%). On average, participants were 54.2 (SD 9.4) years of age, they smoked an average of 19.0 (SD 9.0) cigarettes per day and had smoked for 34.6 (SD 12.7) years. Descriptively, participants assigned to VAR+NRT reported more days of smoking abstinence compared to VAR (29.3 vs 26.3 days). Participants assigned to REM reported more days of smoking abstinence than those assigned to NREM (40.5 vs 21.8 days). Participants assigned to REM were adherent to varenicline on more days compared to those assigned to NREM (58.6 vs 40.5 days), and participants assigned to VAR were adherent to varenicline on more days than those assigned to VAR + NRT (50.7 vs 43.3 days). In the subsample of participants assigned to VAR+NRT, participants assigned to REM reported more days where ≥5 pieces of NRT were used than NREM (14.0 vs 7.4 days). Average overall medication adherence (assessed via the Medication Adherence Questionnaire) showed the same pattern as the daily smartphone-based adherence assessments. CONCLUSIONS Preliminary findings indicated that smoking cessation interventions may benefit from incorporating medication reminders and combining varenicline with oral NRT, though combining medications may be associated with poorer adherence. Further study is warranted. TRIAL REGISTRATION ClinicalTrials.gov NCT03722966; https://classic.clinicaltrials.gov/ct2/show/NCT03722966.
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Affiliation(s)
- Munjireen Sifat
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, United States
| | - Emily T Hébert
- School of Public Health, The University of Texas Health Science Center, Austin, TX, United States
| | - Jasjit S Ahluwalia
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States
| | - Michael S Businelle
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Joseph J C Waring
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Summer G Frank-Pearce
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Chase Bryer
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States
| | - Lizbeth Benson
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Stefani Madison
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Lourdes G Planas
- Department of Pharmacy: Clinical and Administrative Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Irina Baranskaya
- Department of Psychiatry and Behavioral Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Darla E Kendzor
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Liang M, Koslovsky MD, Hébert ET, Kendzor DE, Businelle MS, Vannucci M. Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error. Psychol Methods 2023; 28:880-894. [PMID: 34928674 PMCID: PMC9207158 DOI: 10.1037/met0000433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Intensive longitudinal data collected with ecological momentary assessment methods capture information on participants' behaviors, feelings, and environment in near real-time. While these methods can reduce recall biases typically present in survey data, they may still suffer from other biases commonly found in self-reported data (e.g., measurement error and social desirability bias). To accommodate potential biases, we develop a Bayesian hidden Markov model to simultaneously identify risk factors for subjects transitioning between discrete latent states as well as risk factors potentially associated with them misreporting their true behaviors. We use simulated data to demonstrate how ignoring potential measurement error can negatively affect variable selection performance and estimation accuracy. We apply our proposed model to smartphone-based ecological momentary assessment data collected within a randomized controlled trial that evaluated the impact of incentivizing abstinence from cigarette smoking among socioeconomically disadvantaged adults. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | | | - Emily T. Hébert
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Austin (UTHealth) School of Public Health
| | - Darla E. Kendzor
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center
| | - Michael S. Businelle
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center
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Thrul J, Howe CL, Devkota J, Alexander A, Allen AM, Businelle MS, Hébert ET, Heffner JL, Kendzor DE, Ra CK, Gordon JS. A Scoping Review and Meta-analysis of the Use of Remote Biochemical Verification Methods of Smoking Status in Tobacco Research. Nicotine Tob Res 2023; 25:1413-1423. [PMID: 36449414 PMCID: PMC10347976 DOI: 10.1093/ntr/ntac271] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 09/30/2022] [Accepted: 11/28/2022] [Indexed: 07/20/2023]
Abstract
INTRODUCTION Increasing digital delivery of smoking cessation interventions has resulted in the need to employ novel strategies for remote biochemical verification. AIMS AND METHODS This scoping review and meta-analysis aimed to investigate best practices for remote biochemical verification of smoking status. The scientific literature was searched for studies that reported remotely obtained (not in-person) biochemical confirmation of smoking status (ie, combustible tobacco). A meta-analysis of proportions was conducted to investigate key outcomes, which included rates of returned biological samples and the ratio of biochemically verified to self-reported abstinence rates. RESULTS A total of 82 studies were included. The most common samples were expired air (46%) and saliva (40% of studies), the most common biomarkers were carbon monoxide (48%) and cotinine (44%), and the most common verification methods were video confirmation (37%) and mail-in samples for lab analysis (26%). Mean sample return rates determined by random-effects meta-analysis were 70% for smoking cessation intervention studies without contingency management (CM), 77% for CM studies, and 65% for other studies (eg, feasibility and secondary analyses). Among smoking cessation intervention studies without CM, self-reported abstinence rates were 21%, biochemically verified abstinence rates were 10%, and 47% of individuals who self-reported abstinence were also biochemically confirmed as abstinent. CONCLUSIONS This scoping review suggests that improvements in sample return rates in remote biochemical verification studies of smoking status are needed. Recommendations for reporting standards are provided that may enhance confidence in the validity of reported abstinence rates in remote studies. IMPLICATIONS This scoping review and meta-analysis included studies using remote biochemical verification to determine smoking status. Challenges exist regarding implementation and ensuring high sample return rates. Higher self-reported compared to biochemically verified abstinence rates suggest the possibility that participants in remote studies may be misreporting abstinence or not returning samples for other reasons (eg, participant burden, inconvenience). Remote biochemical confirmation of self-reported smoking abstinence should be included in smoking cessation studies whenever feasible. However, findings should be considered in the context of challenges to sample return rates. Better reporting guidelines for future studies in this area are needed.
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Affiliation(s)
- Johannes Thrul
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
- Centre for Alcohol Policy Research, La Trobe University, Melbourne, Australia
| | - Carol L Howe
- University of Arizona Health Sciences Library, Tucson, AZ, USA
| | - Janardan Devkota
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Adam Alexander
- Department of Family and Preventive Medicine and TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Alicia M Allen
- Department of Family and Community Medicine, College of Medicine, University of Arizona, Tucson, AZ, USA
| | - Michael S Businelle
- Department of Family and Preventive Medicine and TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Emily T Hébert
- Department of Health Promotion and Behavioral Science, The University of Texas Health Science Center at Houston School of Public Health, Austin, TX, USA
| | - Jaimee L Heffner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Darla E Kendzor
- Department of Family and Preventive Medicine and TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Chaelin K Ra
- Section of Behavioral Sciences, Rutgers Cancer Institute of New Jersey, NJ, USA
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Hébert ET, Vandewater EA, Businelle MS, Harrell MB, Kelder SH, Perry CL. Tobacco advertising exposure and product use among young adults: An ecological momentary assessment approach. Addict Behav 2023; 139:107601. [PMID: 36592525 PMCID: PMC9872832 DOI: 10.1016/j.addbeh.2022.107601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Tobacco-related content is prevalent on social media, yet many methods of measuring exposure are inadequate due to the personalized nature of online marketing. The purpose of this paper is to examine the association between exposure to pro-tobacco messages (both industry-sponsored and user-generated) and the use of tobacco products, as reported via ecological momentary assessment (EMA). METHODS Young adults (n = 175) were instructed to record all sightings of marketing (both in-person and online) related to tobacco for 28 days. Tobacco product use and recall of message encounters were assessed daily using app-initiated EMA. RESULTS Participants who reported exposure to tobacco messages were significantly more likely to report using tobacco, adjusting for gender, age, race/ethnicity, baseline use of any tobacco product, and having friends who use tobacco and e-cigarettes (p <.001). For each industry-sponsored message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.77 (95 % CI = 1.41, 2.23). For each user-generated message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.52 (95 % CI = 1.27, 1.83). DISCUSSION To our knowledge, this is the first study to specifically examine the association between exposure to user-generated messages and daily tobacco use. The findings suggests that there is a unique element to user-generated messages that distinguishes them from both traditional marketing and from simple peer influence.
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Affiliation(s)
- Emily T Hébert
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States.
| | | | - Michael S Businelle
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States; Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Melissa B Harrell
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States
| | - Steven H Kelder
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States
| | - Cheryl L Perry
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States
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Bluestein MA, Bejarano G, Tackett AP, Duano JC, Rawls SG, Vandewater EA, Ahluwalia JS, Hébert ET. E-Cigarette Quit Attempts and Experiences in a Convenience Sample of Adult Users. Int J Environ Res Public Health 2023; 20:2332. [PMID: 36767698 PMCID: PMC9916273 DOI: 10.3390/ijerph20032332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/10/2023] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
Most e-cigarette users report planning to quit, but there is a paucity of evidence-based interventions for e-cigarette cessation. In the absence of interventions for e-cigarette cessation, we sought to understand how and why e-cigarette users attempt to quit on their own. Participants were recruited from Amazon Mechanical Turk, an online crowdsourcing platform. Those who reported they had ever used e-cigarettes regularly and had attempted to quit e-cigarette use were eligible for participation. Measures included demographic characteristics, other tobacco product use, e-cigarette device characteristics, barriers to quitting e-cigarettes, and facilitators to quitting e-cigarettes. A content analysis was conducted on twotwo open-ended questions that asked about advice respondents had for others trying to quit vaping and resources they wished they had during their quit attempt. Descriptive analyses were performed (means/standard errors; frequencies/proportions). A total of 89.0% reported using an e-cigarette with nicotine, 20.2% reported a nicotine concentration of 4-6 mg/mL%, 32.8% reported using multiple flavors, and 77.7% reported using their e-cigarette every day or some days. The primary reason reported for wanting to quit e-cigarettes was health concerns (42.2%), and 56.7% reported trying to quit "cold turkey". During quit attempts, 41.0% reported intense cravings and 53.1% reported stress as a trigger. From the content analysis, the most commonly cited suggestion for those wanting to quit e-cigarettes was distractions/hobbies (19.9%), followed by reducing/tapering down nicotine (16.9%). Descriptive information on demographics, e-cigarette use, device characteristics, barriers, facilitators, and quit methods provides a first step in identifying factors that contribute to successful interventions designed for e-cigarette cessation.
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Affiliation(s)
- Meagan A. Bluestein
- Michael & Susan Dell Center for Healthy Living, Austin Campus, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
| | - Geronimo Bejarano
- Michael & Susan Dell Center for Healthy Living, Austin Campus, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
| | - Alayna P. Tackett
- Center for Tobacco Research, The Ohio State University, Columbus, OH 43210, USA
- Department of Internal Medicine, Division of Medical Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Jaimie C. Duano
- Michael & Susan Dell Center for Healthy Living, Austin Campus, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
| | - Shelby Grace Rawls
- Michael & Susan Dell Center for Healthy Living, Austin Campus, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
| | - Elizabeth A. Vandewater
- Population Research Center, University of Texas at Austin, Austin, TX 78701, USA
- Department of Health Promotion and Behavioral Sciences, Austin Campus, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
| | - Jasjit S. Ahluwalia
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI 02912, USA
- Legorreta Cancer Center, Brown University, Providence, RI 02912, USA
| | - Emily T. Hébert
- Michael & Susan Dell Center for Healthy Living, Austin Campus, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
- Department of Health Promotion and Behavioral Sciences, Austin Campus, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
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11
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Bluestein MA, Kuk AE, Harrell MB, Chen B, Hébert ET, Pérez A. Longitudinal Transition Patterns of Tobacco Use Among Youth and Young Adults Never Tobacco Product Users: Findings From the Population Assessment of Tobacco and Health Study, 2014-2019. Tob Use Insights 2023; 16:1179173X231161314. [PMID: 36923154 PMCID: PMC10009036 DOI: 10.1177/1179173x231161314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023] Open
Abstract
Aims To identify, visualize, and describe the prevalence of within-product patterns of tobacco use behaviors for e-cigarettes, cigarettes, and hookah (TP) by 3 age groups (ie, 12-14-year-old, 15-17-year-old, and 18-20-year-old) with U.S. nationally representative data. Methods In 2014-2015, never users of each (TP) and age group were followed-up longitudinally between 2015-2019 using five transition states: non-susceptible to (TP) use, susceptible to (TP) use, ever (TP) use, past 30-day (TP) use, and discontinued past 30-day (TP) use. Sankey diagrams were used to graphically visualize patterns in tobacco use behaviors across time. Results Among 12-14-year-old who were never users and susceptible to each TP from 2014-2017, 7% initiated ever e-cigarette use and 9.4% first reported past 30-day use by 2018-2019; 5.8% initiated ever cigarette use and 3% first reported past 30-day cigarette use by 2018-2019; and, 4.5% initiated ever hookah use and 1.0% first reported past 30-day hookah use by 2018-2019. Among 15-17-year-old who were never users and susceptible to each TP from 2014-2017, 4.2% initiated ever e-cigarette use and 9.0% first reported past 30-day use by 2018-2019; 4.5% initiated ever cigarette use and 3% first reported past 30-day cigarette use by 2018-2019; and, 4.5% initiated ever hookah use and 2.4% first reported past 30-day hookah use by 2018-2019. Among 18-20-year-old who were never users and susceptible to each TP from 2014-2017, 3.2% initiated ever e-cigarette use and 3.6% first reported past 30-day e-cigarette use by 2018-2019; 3.0% initiated ever cigarette use and 2.3% first reported past 30-day cigarette use; and, 2.8% initiated ever hookah use and 1.0% first reported past 30-day hookah use by 2018-2019. Conclusions From 2014 to 2019, onset and progression of e-cigarette, cigarette, and hookah use occurred more frequently in 12-14 and 15-17-year-old than in young adults 18-20-year-old.
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Affiliation(s)
- Meagan A Bluestein
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
| | - Arnold E Kuk
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
| | - Melissa B Harrell
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.,Department of Epidemiology, Human Genetics and Environmental Sciences, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health in Austin Campus, Austin, TX, USA
| | - Baojiang Chen
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
| | - Emily T Hébert
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.,Department of Health Promotion and Behavioral Sciences, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
| | - Adriana Pérez
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
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12
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Bluestein MA, Harrell MB, Hébert ET, Chen B, Kuk AE, Spells CE, Pérez A. Associations Between Perceptions of e-Cigarette Harmfulness and Addictiveness and the Age of E-Cigarette Initiation Among the Population Assessment of Tobacco and Health (PATH) Youth. Tob Use Insights 2022; 15:1179173X221133645. [PMID: 36276166 PMCID: PMC9585561 DOI: 10.1177/1179173x221133645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Introduction Youth perceptions of harmfulness and addictiveness of e-cigarettes may impact the age that they initiate e-cigarette use, but this has not been investigated previously. Methods Youth (12-17 years old) never e-cigarette users at their first wave of PATH participation (waves 1-3, 2013-2016) were included. PATH questions on absolute perceptions of e-cigarette harmfulness and addictiveness were used as exposures. Interval-censored Cox proportional hazards models were used to estimate the impact of perceptions of harmfulness, and perceptions of addictiveness on (i) the age of initiation of e-cigarette use and (ii) age of first reporting past 30-day e-cigarette use, while controlling for covariates. Results Youth who perceive e-cigarettes as having no/little harm had increased risk of initiating both ever e-cigarette use (AHR = 2.04; 95%CI = 1.74-2.40) and past 30-day e-cigarette use (AHR = 2.64; 95%CI = 2.07-3.37) at earlier ages compared to youth who perceive e-cigarettes as having a lot of harm. Youth who perceive the likelihood of becoming addicted to e-cigarettes to be very/somewhat unlikely had increased risk of an earlier age of both ever (AHR = 1.28; 95%CI = 1.07-1.52) and past 30-day (AHR = 1.36; 95%CI = 1.04-1.79) e-cigarette initiation compared to youth who perceived the likelihood of becoming addicted to e-cigarettes to be somewhat/very likely. Conclusion These results highlight the importance of communicating to youth the potential for health harms and addiction from e-cigarette use in prevention and intervention campaigns, as those with the lowest perceptions of harmfulness and addictiveness had the earliest ages of e-cigarette initiation.
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Affiliation(s)
- Meagan A. Bluestein
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA
| | - Melissa B. Harrell
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA
| | - Emily T. Hébert
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Department of Health Promotion and Behavioral Sciences, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA
| | - Baojiang Chen
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Department of Biostatistics and Data Science, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA
| | - Arnold E. Kuk
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA
| | - Charles E. Spells
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA
| | - Adriana Pérez
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Department of Biostatistics and Data Science, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Adriana Pérez, Department of Biostatistics and Data Science, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX 78701, USA.
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13
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Walters ST, Mun EY, Tan Z, Luningham JM, Hébert ET, Oliver JA, Businelle MS. Development and preliminary effectiveness of a smartphone-based, just-in-time adaptive intervention for adults with alcohol misuse who are experiencing homelessness. Alcohol Clin Exp Res 2022; 46:1732-1741. [PMID: 35869820 PMCID: PMC9509425 DOI: 10.1111/acer.14908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 07/12/2022] [Accepted: 07/14/2022] [Indexed: 01/31/2023]
Abstract
BACKGROUND Adults experiencing homelessness have much higher rates of alcohol misuse than housed individuals. This study describes the development and preliminary effectiveness of a smartphone-based, just-in-time adaptive intervention (JITAI) to reduce alcohol use among adults experiencing homelessness. METHODS We conducted a pilot trial (N = 41; mean age [SD] = 45.2 [11.5]; 19.5% women) of the Smart-T Alcohol JITAI where participants completed brief ecological momentary assessments (EMAs) each day, received personalized treatment messages following each EMA, and accessed on-demand intervention content for 4 weeks. The prediction algorithm and treatment messages were developed based on an independent but similar sample as part of the trial. We examined three drinking outcomes: daily drinking (yes/no), drinks per day, and heavy episodic drinking, controlling for scores on the Alcohol Use Disorders Identification Test (AUDIT) at baseline, age, and sex using quadratic growth curve models. RESULTS Over the 4-week period, participants showed a decline in all alcohol use outcomes. Participants also reported high levels of satisfaction with the JITAI. CONCLUSIONS Use of the Smart-T Alcohol JITAI was well received and provided encouraging evidence that it may reduce any drinking, drinks per day, and heavy episodic drinking among adults experiencing homelessness.
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Affiliation(s)
- Scott T. Walters
- School of Public Health, University of North Texas Health Science Center, Ft. Worth, Texas, USA
| | - Eun-Young Mun
- School of Public Health, University of North Texas Health Science Center, Ft. Worth, Texas, USA
| | - Zhengqi Tan
- School of Public Health, University of North Texas Health Science Center, Ft. Worth, Texas, USA
| | - Justin M. Luningham
- School of Public Health, University of North Texas Health Science Center, Ft. Worth, Texas, USA
| | - Emily T. Hébert
- University of Texas Health Science Center School of Public Health, Austin, Texas, USA
| | - Jason A. Oliver
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Michael S. Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
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14
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Kim MT, Heitkemper EM, Hébert ET, Hecht J, Crawford A, Nnaka T, Hutson TS, Rhee H, Radhakrishnan K. Redesigning culturally tailored intervention in the precision health era: Self-management science context. Nurs Outlook 2022; 70:710-724. [PMID: 35933178 PMCID: PMC9722518 DOI: 10.1016/j.outlook.2022.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 05/18/2022] [Accepted: 05/27/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Nurse scientists have significantly contributed to health equity and ensuring cultural tailoring of interventions to meet unique needs of individuals. Methodologies for cultural tailoring of self-mangament interventions among marginalized populations have limitedly accommodated intersectionality and group heterogeneity when addressing health needs. PURPOSE Identify methodological limitations in cultural tailoring of interventions among priority populations and issue recommendations on cultural elements that researchers can target to ensure valid cultural tailoring approaches. METHODS Synthesis of literature on health equity, self-management, and implementation and dissemination research. FINDINGS Among priority populations, intersectionality and group heterogeneity has made group-based cultural tailoring approaches less effective in eliciting desirable health outcomes. Precision health methodology could be useful for cultural tailoring of interventions due to the methodology's focus on individual-level tailoring approaches. DISCUSSION We offer ways to advance health equity research using precision health approaches in cultural tailoring through targeting unique elements of culture and relevant psychosocial phenotypes.
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Affiliation(s)
- Miyong T Kim
- The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX.
| | - Elizabeth M Heitkemper
- The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX
| | - Emily T Hébert
- The Center for Health Equity Research, Health Science Center at Houston, School of Publics Health Austin, The University of Texas, Austin, TX
| | - Jacklyn Hecht
- The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX
| | - Alison Crawford
- The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX
| | - Tonychris Nnaka
- The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX
| | - Tara S Hutson
- The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX
| | - Hyekyun Rhee
- The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX
| | - Kavita Radhakrishnan
- The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX
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15
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Rangu N, Frank-Pearce SG, Alexander AC, Hébert ET, Ra C, Kendzor DE, Businelle MS. Non-adherence to psychiatric medication in adults experiencing homelessness is associated with incurred concussions. Front Hum Neurosci 2022; 16:958169. [PMID: 35966999 PMCID: PMC9366846 DOI: 10.3389/fnhum.2022.958169] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 07/13/2022] [Indexed: 11/24/2022] Open
Abstract
This study investigated the relationship between concussions and medication adherence among 247 adults experiencing homelessness in Oklahoma City, Oklahoma, who were prescribed medication for a psychiatric disorder. Participants were asked whether they had “ever experienced a blow to the head that caused a concussion,” and medication adherence was measured by asking participants whether they had taken their psychiatric medication yesterday. The data were analyzed using univariate and multivariable logistic regressions. Results showed that more than half of the sample had a concussion history (61.9%), and homeless adults with a concussion history had higher odds of non-adherence to psychiatric medications compared with those who reported no concussion history [OR = 2.13 (95% CI = 1.08, 4.18)]. Findings suggest that medication non-adherence is associated with incurred concussions. Raising awareness among service providers of the relationship between traumatic brain injury and medication adherence may increase efforts to improve adherence in this underserved population.
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Affiliation(s)
- Neal Rangu
- TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Sumer G. Frank-Pearce
- TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Biostatistics and Epidemiology, Hudson College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Adam C. Alexander
- TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, College of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- *Correspondence: Adam C. Alexander
| | - Emily T. Hébert
- TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Chaelin Ra
- TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Darla E. Kendzor
- TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, College of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael S. Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, College of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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16
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Businelle MS, Garey L, Gallagher MW, Hébert ET, Vujanovic A, Alexander A, Kezbers K, Matoska C, Robison J, Montgomery A, Zvolensky MJ. An Integrated mHealth App for Smoking Cessation in Black Smokers With Anxiety: Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2022; 11:e38905. [PMID: 35635746 PMCID: PMC9153912 DOI: 10.2196/38905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 04/24/2022] [Accepted: 04/28/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Black smokers have greater difficulty in quitting and higher rates of smoking-related diseases and disabilities than the general population. The smoking disparities experienced by this group are, in part, a consequence of multiple chronic life stressors (eg, racial discrimination) that engender increased exposure to interoceptive stress symptoms (eg, anxiety), which can ultimately lead to smoking as a means of immediate emotion regulation. OBJECTIVE This study aimed to culturally adapt and initially test a novel mobile intervention (ie, Mobile Anxiety Sensitivity Program for Smoking [MASP]) that targets anxiety sensitivity (AS; a proxy for difficulty and responsivity to interoceptive stress) among Black smokers. The MASP intervention is culturally informed to address interoceptive stress management difficulties among Black smokers and is thus hypothesized to facilitate smoking cessation. METHODS In phase 1, a total of 25 Black smokers with elevated AS will be administered MASP for 6 weeks. Following the completion of phase 1, we will further refine the MASP based on qualitative and quantitative data from participants to produce the final MASP iteration. In phase 2, a total of 200 Black smokers with elevated AS will be enrolled and randomly assigned to receive nicotine replacement therapy and either the smartphone-based National Cancer Institute QuitGuide app for standard mobile smoking cessation treatment or the MASP intervention. All participants in phases 1 and 2 will be enrolled remotely and will complete a web-based study screener; smartphone-based baseline assessment; daily smartphone-based ecological momentary assessments for 6 weeks; phone-based end-of-treatment qualitative interviews; and smartphone-based follow-up assessments at postbaseline weeks 1, 2 (quit date), 3, 4, 5, 6, 28, and 54 (weeks 28 and 54 follow-ups will be completed by phase 2 participants only). The MASP intervention is intended to offset barriers to treatment and encourage treatment engagement via smartphones. RESULTS This project was funded in September 2020. Phase 1 data collection began in January 2022. Phase 2 data collection is scheduled to begin in July 2022. CONCLUSIONS If successful, data from this study will support culturally informed treatment approaches for Black smokers and, pending findings of efficacy, provide an evidence-based mobile intervention for smoking cessation that is ready for dissemination and implementation. TRIAL REGISTRATION ClinicalTrials.gov NCT04838236; https://clinicaltrials.gov/ct2/show/NCT04838236. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/38905.
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Affiliation(s)
- Michael S Businelle
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- HEALTH Institute, University of Houston, Houston, TX, United States
| | - Lorra Garey
- HEALTH Institute, University of Houston, Houston, TX, United States
- Department of Psychology, University of Houston, Houston, TX, United States
| | - Matthew W Gallagher
- HEALTH Institute, University of Houston, Houston, TX, United States
- Department of Psychology, University of Houston, Houston, TX, United States
- Texas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, TX, United States
| | - Emily T Hébert
- Department of Health Promotion and Behavioral Sciences, UTHealth School of Public Health, Austin, TX, United States
| | - Anka Vujanovic
- HEALTH Institute, University of Houston, Houston, TX, United States
- Department of Psychology, University of Houston, Houston, TX, United States
| | - Adam Alexander
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Krista Kezbers
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Cameron Matoska
- HEALTH Institute, University of Houston, Houston, TX, United States
- Department of Psychology, University of Houston, Houston, TX, United States
| | - Jillian Robison
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Audrey Montgomery
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael J Zvolensky
- HEALTH Institute, University of Houston, Houston, TX, United States
- Department of Psychology, University of Houston, Houston, TX, United States
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17
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Perski O, Hébert ET, Naughton F, Hekler EB, Brown J, Businelle MS. Technology-mediated just-in-time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review. Addiction 2022; 117:1220-1241. [PMID: 34514668 PMCID: PMC8918048 DOI: 10.1111/add.15687] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 09/01/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND AIMS Lapse risk when trying to stop or reduce harmful substance use is idiosyncratic, dynamic and multi-factorial. Just-in-time adaptive interventions (JITAIs) aim to deliver tailored support at moments of need or opportunity. We aimed to synthesize evidence on decision points, tailoring variables, intervention options, decision rules, study designs, user engagement and effectiveness of technology-mediated JITAIs for reducing harmful substance use. METHODS Systematic review of empirical studies of any design with a narrative synthesis. We searched Ovid MEDLINE, Embase, PsycINFO, Web of Science, the ACM Digital Library, the IEEE Digital Library, ClinicalTrials.gov, the ISRCTN register and dblp using terms related to substance use/mHealth/JITAIs. Outcomes were user engagement and intervention effectiveness. Study quality was assessed with the mHealth Evidence Reporting and Assessment checklist. FINDINGS We included 17 reports of 14 unique studies, including two randomized controlled trials. JITAIs targeted alcohol (S = 7, n = 120 520), tobacco (S = 4, n = 187), cannabis (S = 2, n = 97) and a combination of alcohol and illicit substance use (S = 1, n = 63), and primarily relied on active measurement and static (i.e. time-invariant) decision rules to deliver support tailored to micro-scale changes in mood or urges. Two studies used data from prior participants and four drew upon theory to devise decision rules. Engagement with available JITAIs was moderate-to-high and evidence of effectiveness was mixed. Due to substantial heterogeneity in study designs and outcome variables assessed, no meta-analysis was performed. Many studies reported insufficient detail on JITAI infrastructure, content, development costs and data security. CONCLUSIONS Current implementations of just-in-time adaptive interventions (JITAIs) for reducing harmful substance use rely on active measurement and static decision rules to deliver support tailored to micro-scale changes in mood or urges. Studies on JITAI effectiveness are lacking.
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Affiliation(s)
- Olga Perski
- Department of Behavioural Science and Health, University
College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Emily T. Hébert
- University of Texas Health Science Center (UTHealth) School
of Public Health, Austin, Texas, USA
| | - Felix Naughton
- Behavioural and Implementation Science Group, School of
Health Sciences, University of East Anglia, Norwich NR4 7UL, UK
| | - Eric B. Hekler
- Herbert Wertheim School of Public Health and Human
Longevity (HWSPH), University of California at San Diego, La Jolla, CA 92093,
USA
- Center for Wireless and Population Health Systems (CWPHS),
Qualcomm Institute and HWSPH, University of California at San Diego, La Jolla, CA
92093, USA
| | - Jamie Brown
- Department of Behavioural Science and Health, University
College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Michael S. Businelle
- TSET Health Promotion Research Center, Stephenson Cancer
Center, University of Oklahoma Health Sciences Center, Oklahoma City, USA
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Benson L, Ra CK, Hébert ET, Kendzor DE, Oliver JA, Frank-Pearce SG, Neil JM, Businelle MS. Quit Stage and Intervention Type Differences in the Momentary Within-Person Association Between Negative Affect and Smoking Urges. Front Digit Health 2022; 4:864003. [PMID: 35425934 PMCID: PMC9001839 DOI: 10.3389/fdgth.2022.864003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background Smoking urges and negative affect play important roles in daily cigarette smoking and smoking lapse during a cessation attempt. Traditionally, laboratory research has considered negative affect as a potential cause of smoking urges. A deeper understanding of momentary associations between negative affect and smoking urges during a smoking cessation attempt can inform treatment development efforts. This study examined whether the within-person association between negative affect and smoking urges differed before and after a quit attempt, and by intervention type. Methods Data are from a pilot randomized controlled trial comparing 3 smoking cessation interventions. Participants were randomly assigned to: (1) a novel, smartphone-based just-in-time adaptive intervention that tailored treatment content in real-time (Smart-T2; n = 24), (2) the National Cancer Institute QuitGuide app (n = 25), or (3) a clinic-based tobacco cessation program (TTRP; n = 23) that followed Clinical Practice Guidelines. All participants received up to 12 weeks of nicotine replacement therapy and completed up to 5 assessments per day (M PreQuit = 25.8 assessments, SD = 6.0; M PostQuit = 107.7 assessments, SD = 37.1) of their negative affect and smoking urges during the 7 days (M = 6.6 days, SD = 1.0) prior to their quit-date and the 29 days (M = 25.8 days, SD = 6.4) after their quit-date. Prior to analysis, repeated measures of smoking urges were decomposed into between-person and within-person components. Results After accounting for baseline nicotine dependence, Bayesian multilevel models indicated that the extent of within-person association between negative affect and smoking urges was stronger in the post-quit stage of the intervention than the pre-quit stage. Results also indicated that in the post-quit stage of the intervention, the within-person association between negative affect and smoking urges was weaker for those in the Smart-T2 and TTRP groups compared with those in the QuitGuide group. The extent of this within-person association did not differ between those in the Smart-T2 and TTRP groups. Conclusions These findings offer preliminary evidence that the momentary within-person association between negative affect and smoking urges increases following a quit attempt, and that the TTRP and Smart-T2 interventions may weaken this association. Research is needed to replicate and expand upon current findings in a fully powered randomized controlled trial. Clinical Trial Registration ClinicalTrials.gov NCT02930200; https://clinicaltrials.gov/show/NCT02930200.
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Affiliation(s)
- Lizbeth Benson
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Chaelin K. Ra
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Emily T. Hébert
- Department of Health Promotion and Behavioral Sciences, UT Health School of Public Health, Austin, TX, United States
| | - Darla E. Kendzor
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jason A. Oliver
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Summer G. Frank-Pearce
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Biostatistics and Epidemiology, Hudson College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jordan M. Neil
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael S. Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Pérez A, Spells CE, Bluestein MA, Harrell MB, Hébert ET. The Longitudinal Impact of Seeing and Posting Tobacco-related Social Media on Tobacco Use Behaviors Among Youth (Aged 12-17): Findings From the 2014-2016 Population Assessment of Tobacco and Health (PATH) Study. Tob Use Insights 2022; 15:1179173X221087554. [PMID: 35634272 PMCID: PMC9133874 DOI: 10.1177/1179173x221087554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 02/17/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction This study examined the impact of seeing and posting tobacco-related content on social media on tobacco use outcomes in youth. Methods Longitudinal secondary analyses of youth in the nationally representative 2014-2015 Population Assessment of Tobacco and Health (PATH) study were conducted to examine the association between the interaction of (i) seeing and (ii) posting tobacco-related social media content with previous ever use of each tobacco product, and 3 outcomes in 2015-2016: past 30-day e-cigarette use, past 30-day combustible product use, and past 30-day dual use of e-cigarettes and at least one combustible product. Six weighted multiple logistic regression models (2 interaction exposures*3 outcomes) were used to assess these associations, while adjusting for covariates. Results Among youth never users in 2014-2015, seeing tobacco-related social media content was significantly associated with past 30-day e-cigarette use (AOR 1.92; 95% CI= 1.36-2.71), and past 30-day dual use of e-cigarettes and at least one combustible product (AOR= 2.11; 95% CI= 1.08- 4.13) in 2015-2016. Among youth ever users in 2014-2015, posting tobacco-related content on social media was significantly associated with all 3 outcomes: past 30-day day e-cigarette use (AOR= 2.09;95%CI=1.23-3.55), past 30-day combustible product use (AOR=2.86; 95%CI=1.67-4.88), and past 30-day dual use of these products (AOR=3.02;95%CI=1.45-6.31), after adjusting for covariates. Conclusions Seeing and posting tobacco-related content on social media predicts tobacco use among youth, nationwide. Results suggest that interventions and policies prohibiting tobacco-related content on social media are needed to curb the impact of social media on youth tobacco-use.
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Affiliation(s)
- Adriana Pérez
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health at the Austin Campus, Austin, TX, USA
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health at the Austin Campus, Austin, TX, USA
| | - Charles E. Spells
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health at the Austin Campus, Austin, TX, USA
| | - Meagan A. Bluestein
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health at the Austin Campus, Austin, TX, USA
| | - Melissa B. Harrell
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health at the Austin Campus, Austin, TX, USA
- Department of Health Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health at the Austin Campus, Austin, TX, USA
| | - Emily T. Hébert
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health at the Austin Campus, Austin, TX, USA
- Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health at the Austin Campus, Austin, TX, USA
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20
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Garey L, Hébert ET, Mayorga NA, Chavez JF, Shepherd JM, Businelle MS, Zvolensky MJ. Evaluating the feasibility and acceptability of a mobile-based health technology for smoking cessation: Mobile Anxiety Sensitivity Program. Br J Clin Psychol 2022; 61 Suppl 1:111-129. [PMID: 33939190 PMCID: PMC8563508 DOI: 10.1111/bjc.12294] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 11/21/2020] [Indexed: 01/03/2023]
Abstract
OBJECTIVES Cigarette smoking is the leading preventable cause of death and disability. Although most US smokers want to quit, more than 95% of cessation attempts end in relapse within 6 months. To improve cessation outcomes, research has turned to targetable mechanisms, such as anxiety sensitivity (AS), which maintain smoking behaviour, impede cessation success, and can be effectively targeted in the context of psychosocial interventions. Although integrated treatment programmes that address AS reduction in the context of smoking cessation have demonstrated promising results, presently, no mobile, technology-based integrated treatment exists to expressly address smoking and AS. The current study evaluated the initial feasibility and acceptability of a mobile smoking cessation intervention, Mobile Anxiety Sensitivity Program for smoking (MASP). METHODS Participants were 15 daily adult combustible cigarette smokers (females n = 6, Mage = 46.5 years, SD = 13.3) who completed a 6-week total intervention period (baseline visit, 2 weeks pre-quit, 4 weeks post-quit, follow-up visit). RESULTS Most participants (N = 12) completed the full 6-week intervention, and participant engagement with MASP was high. Participants reported that MASP was acceptable. Biochemical verification of smoking abstinence indicated 25% of smokers were abstinent for at least 24 hr prior to the in-person 4 weeks post-quit follow-up visit. CONCLUSIONS Findings indicated that MASP has the potential to provide effective assistance to those wanting to quit cigarettes. PRACTITIONER POINTS Mobile-based smoking cessation interventions may be a promising treatment option, particularly for those of lower socio-economic status. Targeting AS in the context of a mobile-based smoking cessation app may be a viable way to improve smoking cessation success and treatment outcome. Due to the pilot nature of this study, there was no control group. Thus, comparative conclusions and generalizability based on the current study must be made with caution.
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Affiliation(s)
- Lorra Garey
- Department of Psychology, University of Houston, Texas, USA
| | - Emily T. Hébert
- University of Texas Health Science Center (UTHealth) School of Public Health,Austin, Texas, USA
| | | | | | | | - Michael S. Businelle
- Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Michael J. Zvolensky
- Department of Psychology, University of Houston, Texas, USA,Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA,HEALTH Institute, University of Houston, Texas, USA,Corresponding author: Michael J. Zvolensky, Ph.D., Dept of Psychology, 3695 Cullen Blvd., Room 126. University of Houston, Houston, TX, 77204. (713) 743-8056,
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21
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Hébert ET, Bhushan T, Ra CK, Frank-Pearce S, Alexander AC, Cole AB, Kendzor DE, Businelle MS. Daily use of nicotine replacement medications is related to daily smoking status: An ecological momentary assessment study. Drug Alcohol Depend 2021; 229:109161. [PMID: 34775184 PMCID: PMC8671265 DOI: 10.1016/j.drugalcdep.2021.109161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 10/15/2021] [Accepted: 10/18/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Few studies have examined how daily adherence to nicotine replacement therapy (NRT) impacts daily smoking abstinence. METHODS Data from a pilot randomized controlled trial of a smartphone-based smoking cessation intervention were used. Separate, generalized linear mixed models examined the association between ecological momentary assessments of NRT use and same-day and next day smoking status. Separate models examined the relationship between daily smoking status and (1) any use of NRT, (2) quantity of nicotine gum used, and (3) nicotine patch wear time. Reasons for medication non-adherence were also examined. RESULTS Participants (n = 77) were predominantly White (66.2%) and female (50.6%), 50.4 years old (SD=11.6) on average, and they smoked an average of 21.8 cigarettes per day (SD=11.0) at baseline. Daily NRT use was significantly associated with a lower likelihood of smoking both within that same day and the following day. While using the gum and patch together, and using the patch alone were associated with reduced odds of same-day and next-day smoking, using the gum alone was not significantly associated with reduced odds of smoking. The most commonly cited reasons for not using the patch or gum was "other" (43.3%), followed by "side effects" (27.1%), and "forgot" (18.9%). CONCLUSION Daily use of the patch or both the patch and gum was associated with a lower risk of daily smoking. Low levels of nicotine gum use alone may not be an effective cessation strategy. Future studies should further explore reasons for NRT non-compliance, and ways to increase NRT adherence.
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Affiliation(s)
- Emily T. Hébert
- University of Texas Health Science Center (UTHealth) School of Public Health, Austin, TX, United States
| | - Tanushri Bhushan
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, United States
| | - Chaelin K. Ra
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, United States
| | - Summer Frank-Pearce
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, United States
| | - Adam C. Alexander
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, United States,Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Ashley B. Cole
- Department of Psychology, Oklahoma State University, Stillwater, OK, United States
| | - Darla E. Kendzor
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, United States,Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael S. Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, United States,Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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22
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Ra CK, Hébert ET, Alexander A, Kendzor DE, Suchting R, Businelle MS. Unsheltered homeless and unstably housed adults have higher levels of stress and more health risk factors than sheltered homeless adults. J Soc Distress Homeless 2021; 32:42-50. [PMID: 37346936 PMCID: PMC10281693 DOI: 10.1080/10530789.2021.1961990] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/08/2021] [Accepted: 07/18/2021] [Indexed: 06/23/2023]
Abstract
In the United States, approximately 580,000 individuals were homeless on a single night in 2020. Homelessness can be categorized into three subgroups: sheltered homeless, unsheltered homeless, and unstably housed. Few studies have examined the relations between homelessness subtypes, shelter service utilization, levels of stress experienced, and health risk factors. This study aimed to empirically examine whether shelter status the previous night was related to current stress, recent utilization of shelter-based mental health services, and current health risk factors. Data were collected at multiple homeless shelters in 2016 in the Oklahoma City area (N=575). All participants completed assessments of demographic characteristics, including age, sex, race, marital status, years of education, and incarceration history and victimization. Multiple linear and logistic regression analyses were conducted to examine relations between homelessness subgroups and outcomes (shelter-based service utilization, health risk factors, and stressors). Results indicated that the sheltered group was younger and more likely to be White than the unsheltered group, had higher levels of education, and reported more lifetime months in jail than the unstably housed group. In addition, unsheltered homeless and unstably housed adults used fewer shelter-based health services, exhibited more health risk factors, experienced greater levels of stress, and had higher levels of food insecurity than sheltered homeless adults. Homeless adults who reside at shelters benefit most from available shelter services. The development of policies and programs targeted toward increasing sheltering options for unsheltered and unstably housed adults is needed.
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Affiliation(s)
- Chaelin K. Ra
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK
| | - Emily T. Hébert
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Adam Alexander
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK
| | - Darla E. Kendzor
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Robert Suchting
- UTHealth McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX
| | - Michael S. Businelle
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK
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23
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Tackett AP, Keller-Hamilton B, Hébert ET, Smith CE, Wallace SW, Stevens EM, Johnson AL, Wagener TL. Adolescent Susceptibility to E-Cigarettes: An Update From the 2018 National Youth Tobacco Survey. Am J Health Promot 2021; 35:551-558. [PMID: 33167676 PMCID: PMC8496989 DOI: 10.1177/0890117120971121] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
PURPOSE Examine correlates of e-cigarette susceptibility among adolescents. DESIGN Secondary data analyses using the 2018 National Youth Tobacco Survey, excluding participants under 12 and over 17. SETTING United States middle and high schools. SUBJECTS Never e-cigarette users (n = 12,439) ages 12-17. MEASURES Relationships between e-cigarette susceptibility and age, sex, race/ethnicity, ever tobacco use, perceived ease of purchasing tobacco products, perceived harm, relative addictiveness, household use of e-cigarettes/tobacco were examined. ANALYSIS Odds of susceptibility were modeled with weighted multivariable logistic regressions. RESULTS Thirty-five percent (unweighted n = 4,436) of adolescents were susceptible to e-cigarettes. Adolescents who were female (aOR = 1.2), Hispanic (aOR = 1.3), perceived e-cigarettes as anything less than "a lot of harm" (aOR = 2.2-4.9) and "easy" to purchase (aOR = 1.4), had ever used combustible tobacco (aOR = 2.9), or reported household use of e-cigarettes (aOR = 1.5) were susceptible. Non-Hispanic black respondents (vs. non-Hispanic white; aOR = 0.72) had significantly lower odds of susceptibility to e-cigarettes. CONCLUSION In the 2018 NYTS adolescent sample, perceptions of harm and ease of tobacco product purchase appear to be significantly related to higher odds of e-cigarette susceptibility, in addition to other demographic factors. Longitudinal data, particularly cohort data following adolescents from susceptible to actual or no use, are needed to assess predictors of e-cigarette use initiation.
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Affiliation(s)
- Alayna P. Tackett
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, CA, USA
| | - Brittney Keller-Hamilton
- Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Emily T. Hébert
- School of Public Health Austin, University of Texas Health Sciences Center, Houston, TX, USA
| | - Caitlin E. Smith
- Department of Psychology, Oklahoma State University, Stillwater, OK, USA
| | | | - Elise M. Stevens
- Harvard T. H. Chan School of Public Health, Dana-Farber Cancer Institute, Harvard University, Boston, MA, USA
| | - Amanda L. Johnson
- Oklahoma Tobacco Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Theodore L. Wagener
- Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
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24
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Stevens EM, Hébert ET, Keller-Hamilton B, Frank-Pearce SG, Tackett AP, Leshner G, Wagener TL. Associations Between Exposure to The Real Cost Campaign, Pro-Tobacco Advertisements, and Tobacco Use Among Youth in the U.S. Am J Prev Med 2021; 60:706-710. [PMID: 33583677 PMCID: PMC8506651 DOI: 10.1016/j.amepre.2020.11.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 11/06/2020] [Accepted: 11/10/2020] [Indexed: 11/15/2022]
Abstract
INTRODUCTION E-cigarette use is rising among youth. Advertising and anti-tobacco campaigns may be associated with the use of E-cigarettes and other tobacco products. This study examines the associations between tobacco use and exposure to The Real Cost's first campaign focusing on E-cigarettes. METHODS Using the 2019 National Youth Tobacco Survey, a national survey of middle and high school students, the associations between exposure to The Real Cost anti-tobacco campaign, exposure to pro-tobacco advertising, and the use of tobacco products in the past 30 days (exclusive E-cigarettes, exclusive other tobacco use, and dual/poly use of E-cigarettes and other tobacco products) was examined. Other tobacco included anything but E-cigarettes. RESULTS Participants (N=13,165) were aged 11-17 years. Exposure to The Real Cost campaign was associated with decreased odds of using other tobacco products (AOR=0.60, 95% CI=0.43, 0.84) and dual/poly use (AOR=0.77, 95% CI=0.63, 0.94) but not E-cigarette use. Greater E-cigarette advertising exposure was associated with increased odds of being an exclusive E-cigarette user (AOR=1.90, 95% CI=1.52, 2.30) or dual/poly user (AOR=1.69, 95% CI=1.31, 2.18). Greater exposure to other tobacco advertising was associated with increased odds of being a dual/poly user (AOR=1.32, 95% CI=1.01, 1.71) but lower odds of exclusive E-cigarette use (AOR=0.76, 95% CI=0.60, 0.97). CONCLUSIONS Exposure to The Real Cost campaign was associated with decreased odds of using other tobacco products and dual/poly products. Exposure to pro-tobacco advertising was also associated with use. Future studies should assess the long-term effectiveness of anti-tobacco messaging.
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Affiliation(s)
- Elise M Stevens
- Department of Population and Quantitative Health Sciences, Division of Preventative and Behavioral Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
| | - Emily T Hébert
- Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Austin, Texas
| | - Brittney Keller-Hamilton
- Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Summer G Frank-Pearce
- Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Alayna P Tackett
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California
| | - Glenn Leshner
- Gaylord College of Journalism and Mass Communication, University of Oklahoma, Norman, Oklahoma
| | - Theodore L Wagener
- Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio; Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio
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25
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Walters ST, Businelle MS, Suchting R, Li X, Hébert ET, Mun EY. Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness. J Subst Abuse Treat 2021; 127:108417. [PMID: 34134874 PMCID: PMC8217726 DOI: 10.1016/j.jsat.2021.108417] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 02/04/2021] [Accepted: 04/14/2021] [Indexed: 12/12/2022]
Abstract
Adults experiencing homelessness are more likely to have an alcohol use disorder compared to adults in the general population. Although shelter-based treatments are common, completion rates tend to be poor, suggesting a need for more effective approaches that are tailored to this understudied and underserved population. One barrier to developing more effective treatments is the limited knowledge of the triggers of alcohol use among homeless adults. This paper describes the use of ecological momentary assessment (EMA) to identify predictors of “imminent drinking” (i.e., drinking within the next 4 h), among a sample of adults experiencing homelessness and receiving health services at a homeless shelter. A total of 78 mostly male (84.6%) adults experiencing homelessness (mean age = 46.6) who reported hazardous drinking completed up to five EMAs per day over 4 weeks (a total of 4557 completed EMAs). The study used machine learning techniques to create a drinking risk algorithm that predicted 82% of imminent drinking episodes within 4 h of the first drink of the day, and correctly identified 76% of nondrinking episodes. The algorithm included the following 7 predictors of imminent drinking: urge to drink, having alcohol easily available, feeling confident that alcohol would improve mood, feeling depressed, lower commitment to being alcohol free, not interacting with someone drinking alcohol, and being indoors. The research team used the results to develop intervention content (e.g., brief tailored messages) that will be delivered when imminent drinking is detected in an upcoming intervention phase. Specifically, we created three theoretically grounded message tracks focused on urge/craving, social/availability, and negative affect/mood, which are further tailored to a participant’s current drinking goal (i.e., stay sober, drink less, no goal) to support positive change. To our knowledge, this is the first study to develop tailored intervention messages based on likelihood of imminent drinking, current drinking triggers, and drinking goals among adults experiencing homelessness.
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Affiliation(s)
- Scott T Walters
- School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA.
| | - Michael S Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Robert Suchting
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Xiaoyin Li
- School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Emily T Hébert
- University of Texas Health Science Center (UTHealth), School of Public Health Austin, Austin, TX, USA
| | - Eun-Young Mun
- School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA
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26
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Alexander AC, Waring JJC, Hébert ET, Ra CK, Rangu N, Kendzor DE, Businelle MS. Identifying mechanisms that link pain to smoking relapse during a quit attempt. Psychol Addict Behav 2021; 35:52-61. [PMID: 33719473 DOI: 10.1037/adb0000595] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Emerging evidence suggests that adults with chronic pain have poor smoking cessation outcomes, but the exact mechanisms are less understood. This study examined whether depression, anxiety, stress, and then, positive outcome expectancy for smoking mediated the association between pain and smoking relapse during a quit attempt. METHODS This study is a secondary data analysis of a three-armed randomized clinical trial that compared in-person and smartphone-based smoking cessation interventions. Participants (N = 81) self-reported the amount of bodily pain they experienced in the past 4 weeks at baseline. Depression, anxiety, stress, and positive outcome expectancy for smoking were measured daily, via a smartphone app, throughout the first week of the quit attempt, and were aggregated to the week level for analyses. Biochemically verified smoking abstinence was assessed 4 weeks postquit date. RESULTS Sequential mediation analyses showed that pain was indirectly associated with smoking relapse through greater feelings of stress and then higher expectations that smoking would improve mood (B = 0.22 [95% CI = 0.03, 0.65]). The pathways for depression and anxiety were not significant mediators of pain and smoking relapse. CONCLUSION Findings from this study indicate that pain is indirectly associated with smoking relapse through feelings of stress and then positive outcome expectancy for smoking. Smoking cessation treatment for adults who experience high levels of bodily pain should include psychoeducation that teaches adaptive coping responses, such as mindfulness, to manage stress, and challenge expectations about the ability of smoking to improve mood. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
- Adam C Alexander
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center
| | - Joseph J C Waring
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center
| | - Emily T Hébert
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Houston
| | - Chaelin Karen Ra
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center
| | - Neal Rangu
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center
| | - Darla E Kendzor
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center
| | - Michael S Businelle
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center
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Mun EY, Li X, Businelle MS, Hébert ET, Tan Z, Barnett NP, Walters ST. Ecological Momentary Assessment of Alcohol Consumption and Its Concordance with Transdermal Alcohol Detection and Timeline Follow-Back Self-report Among Adults Experiencing Homelessness. Alcohol Clin Exp Res 2021; 45:864-876. [PMID: 33583057 PMCID: PMC8252787 DOI: 10.1111/acer.14571] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 01/07/2021] [Accepted: 02/03/2021] [Indexed: 12/13/2022]
Abstract
Background Studies of alcohol use presume valid assessment measures. To evaluate this presumption, we examined the concordance of alcohol use as measured by ecological momentary assessment (EMA) self‐reports, transdermal alcohol concentration readings via the Secure Continuous Remote Alcohol Monitor (SCRAM), and retrospective self‐reports via the Timeline Follow‐Back (TLFB) among adults experiencing homelessness. Methods Forty‐nine adults who reported alcohol misuse (mean age = 47, SD = 9; 57% Black; 82% men) were recruited from a homeless shelter. For 4 weeks, alcohol use was assessed: (i) 5 times or more per day by EMA, (ii) every 30 minutes by a SCRAM device worn on the ankle, and (iii) by TLFB for the past month at the end of the study period. There were 1,389 days of observations of alcohol use and alcohol use intensity for 49 participants. Results EMA and SCRAM alcohol use data agreed on 73% of days, with an interrater agreement Kappa = 0.46. A multilevel analysis of concordance of 3 measures for alcohol use yielded statistically significant correlations of 0.40 (day level) and 0.63 (person level) between EMA and SCRAM. Alcohol use was detected on 49, 38, and 33% of days by EMA, SCRAM, and TLFB, respectively. For alcohol use intensity, EMA and SCRAM resulted in statistically significant correlations of 0.46 (day level) and 0.78 (person level). The concordance of TLFB with either EMA or SCRAM was weak, especially at the day level. Conclusions This is the first study to examine concordance of alcohol use estimates using EMA, SCRAM, and TLFB methods in adults experiencing homelessness. EMA is a valid approach to quantifying alcohol use, especially given its relatively low cost, low participant burden, and ease of use. Furthermore, any stigma associated with wearing the SCRAM or reporting alcohol use in person may be attenuated by using EMA, which may be appealing for use in studies of stigmatized and underserved populations.
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Affiliation(s)
- Eun-Young Mun
- Department of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Xiaoyin Li
- Department of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Michael S Businelle
- Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, USA.,Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Emily T Hébert
- UTHealth School of Public Health in Austin, Austin, OK, USA
| | - Zhengqi Tan
- Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Nancy P Barnett
- Center for Alcohol and Addiction Studies, School of Public Health, Brown University, RI, USA
| | - Scott T Walters
- Department of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, USA
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Hébert ET, Suchting R, Ra CK, Alexander AC, Kendzor DE, Vidrine DJ, Businelle MS. Predicting the first smoking lapse during a quit attempt: A machine learning approach. Drug Alcohol Depend 2021; 218:108340. [PMID: 33092911 PMCID: PMC8496911 DOI: 10.1016/j.drugalcdep.2020.108340] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 09/11/2020] [Accepted: 09/26/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND Just-in-time adaptive interventions (JITAI) aim to prevent smoking lapse using tailored support delivered via mobile technology in the moments when it is most needed. Effective smoking cessation JITAI rely on the development of accurate decision rules that determine when someone is most likely to lapse. The primary goal of the present study was to identify the strongest predictors of first lapse among smokers undergoing a quit attempt. METHODS Smokers attending a clinic-based smoking cessation program (n = 74) were asked to complete ecological momentary assessments five times daily on study-provided smartphones for 4 weeks post-quit. A three-stage modeling process utilized Cox proportional hazards regression to examine time to lapse a function of 31 predictors. First, univariate models evaluated the relationship between each predictor and time to lapse. Second, the elastic net machine learning algorithm was used to select the best predictors. Third, backwards elimination further reduced the set of predictors to optimize parsimony. RESULTS Univariate models identified seven predictors significantly related to time to lapse. The elastic net algorithm retained five: perceived odds of smoking today, confidence in ability to avoid smoking, motivation to avoid smoking, urge to smoke, and cigarette availability. The reduced model demonstrated inadequate approximation to the non-penalized baseline model. CONCLUSIONS Accurate estimation of moments of high risk for smoking lapse remains an important goal in the development of JITAI. These results demonstrate the utility of exploratory data-driven approaches to variable selection. The results of this study can inform future JITAI by highlighting targets for intervention.
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Affiliation(s)
- Emily T Hébert
- University of Texas Health Science Center (UTHealth) School of Public Health, Austin, TX, United States.
| | - Robert Suchting
- UTHealth McGovern Medical School, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Chaelin K Ra
- TSET Health Promotion Research Center, Oklahoma City, OK, United States
| | - Adam C Alexander
- TSET Health Promotion Research Center, Oklahoma City, OK, United States
| | - Darla E Kendzor
- TSET Health Promotion Research Center, Oklahoma City, OK, United States; Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | | | - Michael S Businelle
- TSET Health Promotion Research Center, Oklahoma City, OK, United States; Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Koslovsky MD, Hébert ET, Businelle MS, Vannucci M. A Bayesian time-varying effect model for behavioral mHealth data. Ann Appl Stat 2020; 14:1878-1902. [DOI: 10.1214/20-aoas1402] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Tackett AP, Keller-Hamilton B, Smith CE, Hébert ET, Metcalf JP, Queimado L, Stevens EM, Wallace SW, McQuaid EL, Wagener TL. Evaluation of Respiratory Symptoms Among Youth e-Cigarette Users. JAMA Netw Open 2020; 3:e2020671. [PMID: 33048131 PMCID: PMC8094411 DOI: 10.1001/jamanetworkopen.2020.20671] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
IMPORTANCE Use of e-cigarettes (ECs) among youths has increased in recent years. e-Cigarette aerosol contains chemical constituents, such as diacetyl or benzaldehyde, which are known to affect the respiratory system. OBJECTIVE To examine the association between EC use and self-reported wheezing in a cohort of US adolescents. DESIGN, SETTING, AND PARTICIPANTS This cohort study used data from waves 3 and 4 (October 19, 2015, to January 3, 2018) of the Population Assessment of Tobacco and Health (PATH) study, a longitudinal, nationally representative cohort survey. Adolescent respondents aged 12 to 17 years who did not have asthma were included. EXPOSURES e-Cigarette use during the previous year. MAIN OUTCOMES AND MEASURES Self-reported wheezing in the past 12 months (yes or no) and EC use (no use in past year or never use, use in past year, use in past 30 days, and use in past 7 days). Survey-weighted logistic regression models adjusted for demographic characteristics and other risk factors. RESULTS Among 7049 adolescents without asthma from waves 3 and 4 of the PATH study, 49.9% were female and 54.4% were non-Hispanic White. In unadjusted models, the odds of wheezing in the past 12 months were higher for youths who had used ECs in the past year compared with those who had not (odds ratio, 1.74; 95% CI, 1.22-2.48; P = .003). In the adjusted model, after controlling for the variables of race/ethnicity, household rules about the use of tobacco, contact with a smoker in the previous 7 days, and current use of combustible tobacco products, the association of EC use with wheezing was not significant (adjusted odds ratio for EC use in the past year, 1.37 [95% CI, 0.91-2.05]; in the past 30 days, 1.35 [95% CI, 0.63-2.88]; in the past 7 days, 0.74 [95% CI, 0.28-1.97]; P = .33). CONCLUSIONS AND RELEVANCE In this cohort study, use of ECs alone was not associated with increased odds of experiencing wheezing episodes. Future studies incorporating the use of objective data appear to be needed to more accurately understand the potential respiratory harms associated with vaping among adolescents.
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Affiliation(s)
- Alayna P. Tackett
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles
| | | | | | - Emily T. Hébert
- School of Public Health, The University of Texas Health Science Center, Austin
| | - Jordan P. Metcalf
- Department of Internal Medicine, University of Oklahoma Health Sciences Center, Oklahoma City
| | - Lurdes Queimado
- Department of Otorhinolaryngology, University of Oklahoma Health Sciences Center, Oklahoma City
| | - Elise M. Stevens
- T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | | | - Elizabeth L. McQuaid
- Bradley/Hasbro Children’s Research Center, Providence, Rhode Island
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Theodore L. Wagener
- Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus
- Department of Internal Medicine, The Ohio State University, Columbus
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Cole AB, Hébert ET, Reitzel LR, Carroll DM, Businelle MS. Health Risk Factors in American Indian and Non-Hispanic White Homeless Adults. Am J Health Behav 2020; 44:631-641. [PMID: 33121581 DOI: 10.5993/ajhb.44.5.7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Objectives: American Indians (AIs) are over-represented among homeless populations, but are understudied regarding their unique risk and resilience factors relative to non-Hispanic white (NHW) adults experiencing homelessness. In the current study, we aimed to address this gap. Methods: We recruited participants (108 AIs and 307 NHWs) from 6 homeless serving agencies in Oklahoma City, OK. Participants completed standard assessments of health, health behaviors, including alcohol and drug use, readiness to change endorsed health behaviors (eg, unsafe sex, fruit and vegetable intake, happiness with weight, physical activity), sleep location and quality, personal victimization, and discrimination. Results: Compared to NHWs, AIs endorsed greater alcohol use problems and were more likely to report having been arrested/booked for disorderly conduct or public drunkenness; however, AIs were less likely to report smoking cigarettes and reported greater readiness to change unsafe/unprotected sexual behaviors. Furthermore, compared to NHWs, AIs reported experiencing greater discrimination and were more likely to report sleeping outside or on the streets, versus in shelters; however, AIs reported fewer days of inadequate sleep. Conclusions: Findings suggest AI-specific risk and resilience factors for homelessness. This information can aid in treatment, service, and housing planning for this under-studied group who experiences some of the greatest health disparities.
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Affiliation(s)
- Ashley B. Cole
- Department of Psychology, Oklahoma State University, Stillwater, OK;,
| | - Emily T. Hébert
- Oklahoma Tobacco Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Lorraine R. Reitzel
- Department of Psychological, Health, & Learning Sciences, University of Houston, Houston, TX
| | - Dana M. Carroll
- Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Michael S. Businelle
- Oklahoma Tobacco Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK
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Stevens EM, Hébert ET, Tackett AP, Leavens ELS, Wagener TL. Harm Perceptions of the JUUL E-Cigarette in a Sample of Ever Users. Int J Environ Res Public Health 2020; 17:E4755. [PMID: 32630647 PMCID: PMC7369803 DOI: 10.3390/ijerph17134755] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 06/22/2020] [Accepted: 06/25/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Monitoring trends and perceptions of new nicotine salt-based electronic cigarettes (ECs), like JUUL, is important to identify associations with product experimentation and use. Understanding harm perceptions of these new devices will inform prevention and intervention efforts. The current study assesses perceptions of the absolute harmfulness of JUUL use in addition to comparing it to other tobacco products. METHODS Participants (N = 839, 52% male) reporting ever use of JUUL were recruited from Amazon's Mechanical Turk from January to March 2018. Respondents completed questionnaire items assessing demographics, co-use of non-JUUL products, JUUL use status (i.e., daily users (10.8%), non-daily users (29.4%), and triers (59.9%)), and JUUL and other tobacco products absolute harm perceptions. RESULTS Overall, participants rated JUUL as significantly less harmful than all other tobacco products (p < 0.001), except other ECs. Daily JUUL users rated JUUL as less harmful compared to non-daily JUUL users and JUUL triers (p < 0.05). JUUL was rated as more harmful by women compared to men (p < 0.05). CONCLUSIONS Increased frequency of JUUL use was associated with decreased harm perceptions. JUUL was associated with reduced perceptions of absolute harm compared to most other tobacco products, except other ECs. Public health practitioners should develop public health interventions that increase harm perceptions of ECs.
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Affiliation(s)
- Elise M. Stevens
- Harvard T.H. Chan School of Public Health, Dana-Farber Cancer Institute, Harvard University, Boston, MA 02115, USA
| | - Emily T. Hébert
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (E.T.H.); (A.P.T.)
| | - Alayna P. Tackett
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (E.T.H.); (A.P.T.)
| | - Eleanor L. S. Leavens
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS 66160, USA;
| | - Theodore L. Wagener
- Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA;
- Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA
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Businelle MS, Walters ST, Mun EY, Kirchner TR, Hébert ET, Li X. Reducing Drinking Among People Experiencing Homelessness: Protocol for the Development and Testing of a Just-in-Time Adaptive Intervention. JMIR Res Protoc 2020; 9:e15610. [PMID: 32297874 PMCID: PMC7193437 DOI: 10.2196/15610] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 01/13/2020] [Accepted: 01/27/2020] [Indexed: 11/20/2022] Open
Abstract
Background Adults who are homeless are more likely to have alcohol use disorders (AUDs) compared with domiciled adults. Although AUD treatments are commonly available, many factors (eg, transportation limitations and inability to schedule appointments) contribute to low treatment completion rates and low success rates of these interventions among adults experiencing homelessness. Most adults who are homeless own mobile phones; however, no interventions have been developed that use mobile devices to deliver and support AUD interventions for this population. Mobile phone–based AUD interventions may reduce barriers that have limited the use and utility of traditional interventions. Objective The aim of this study is to (1) identify variables (eg, affect, stress, geolocation, and cravings) that predict drinking among homeless adults (phase I), (2) develop a mobile intervention that utilizes an algorithm to identify moments of risk for drinking and deliver treatment messages that are tailored to the individual’s current needs in real time (phase II), and (3) pilot test the intervention app (phase III). Methods In phase I, adults experiencing homelessness with an AUD (N=80) will complete baseline, equipment, 2-week, and 4-week follow-up visits in person. Participants will be prompted to complete five daily ecological momentary assessments on a study-provided smartphone for 28 days. The smartphone app will collect GPS coordinates every 5 min for the entire 28-day study period. Participants will wear a transdermal alcohol sensor that will objectively measure alcohol use. In phase II, we will use phase I data to develop an algorithm that identifies moments of heightened risk for drinking and develop treatment messages that address risk factors for drinking. Phase III will pilot test the intervention in 40 adults experiencing homelessness with AUD. Results This project was funded in June 2018. IRB approval was obtained in October 2018, and data collection for phase I began in February 2019. Phase III data collection is expected to conclude in 2020. To date, 80 participants have consented to the study, and data analysis for phase I will begin in early 2020. Conclusions This research will highlight intervention targets and develop a novel intervention for understudied and underserved adults experiencing homelessness with AUD. International Registered Report Identifier (IRRID) DERR1-10.2196/15610
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Affiliation(s)
- Michael S Businelle
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Scott T Walters
- School of Public Health, University of North Texas Health Sciences Center, Fort Worth, TX, United States
| | - Eun-Young Mun
- School of Public Health, University of North Texas Health Sciences Center, Fort Worth, TX, United States
| | - Thomas R Kirchner
- School of Global Public Health, New York University, New York City, NY, United States
| | - Emily T Hébert
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Xiaoyin Li
- School of Public Health, University of North Texas Health Sciences Center, Fort Worth, TX, United States
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Kendzor DE, Businelle MS, Waring JJC, Mathews AJ, Geller DW, Barton JM, Alexander AC, Hébert ET, Ra CK, Vidrine DJ. Automated Mobile Delivery of Financial Incentives for Smoking Cessation Among Socioeconomically Disadvantaged Adults: Feasibility Study. JMIR Mhealth Uhealth 2020; 8:e15960. [PMID: 32293568 PMCID: PMC7191346 DOI: 10.2196/15960] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 01/17/2020] [Accepted: 03/22/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Socioeconomic disadvantage is associated with a reduced likelihood of smoking cessation. Smartphone ownership is increasing rapidly, including among low-income adults, and smartphone interventions for smoking cessation may increase access to smoking cessation treatment among socioeconomically disadvantaged adults. OBJECTIVE This study aimed to evaluate the feasibility of an automated smartphone-based approach to delivering financial incentives for smoking cessation. METHODS Socioeconomically disadvantaged adults initiating tobacco cessation treatment were followed from 1 week before a scheduled quit attempt through 26 weeks after the quit date. Participants received telephone counseling and nicotine replacement therapy. Smoking cessation was verified 5 times per week via smartphone prompts to self-report smoking status and submit a breath sample via a portable carbon monoxide (CO) monitor that was connected with participants' smartphones. Identity was verified during smoking status assessments using smartphone-based facial recognition software. When smoking abstinence and identity were verified, an automated credit card payment was triggered. Participants were incentivized for abstinence on the quit date and up to five days per week during the first 4 weeks after the scheduled quit date, with additional incentives offered during postquit weeks 8 and 12. In total, participants had the opportunity to earn up to US $250 in abstinence-contingent incentives over the first 12 weeks of the quit attempt. RESULTS Participants (N=16) were predominantly female (12/16, 75%) and non-Hispanic white (11/16, 69%), black (4/16, 25%), or Hispanic of any race (1/16, 6%). Most participants (9/16, 56%) reported an annual household income of <US $11,000. During the first 4 weeks after the scheduled quit date, participants completed a median of 16 (out of 21; range 1-21) mobile smoking status assessments, and they earned a median of US $28 in abstinence-contingent incentives (out of a possible US $150; range US $0-US $135). Median earnings did not change during the 8- and 12-week incentivized follow-up periods (total median earnings over 12 weeks=US $28; range US $0-US $167). During the first 4 weeks after the scheduled quit date, participants abstained from smoking on a median of 5 (out of 21) assessment days (range 0-20). At the in-person follow-up visits, the expired CO-confirmed 7-day point prevalence abstinence rates were 19% (3/16) and 13% (2/16) at 12 and 26 weeks postquit, respectively. Overall, most participants reported that the system was easy to use and that they would recommend this treatment to their friends and family. CONCLUSIONS Preliminary data suggest that this smartphone-based approach to verifying identity and smoking status and automating the delivery of abstinence-contingent incentives to a credit card is feasible for use among socioeconomically disadvantaged adults. However, continued refinement is warranted.
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Affiliation(s)
- Darla E Kendzor
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael S Businelle
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Joseph J C Waring
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Ashley J Mathews
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Daryl W Geller
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jocelyn M Barton
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Adam C Alexander
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Emily T Hébert
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Chaelin K Ra
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Alexander AC, Olurotimi O, Hébert ET, Ra CK, Businelle MS, Kendzor DE. Subjective social status is indirectly associated with short-term smoking cessation through nicotine withdrawal symptoms. J Health Psychol 2020; 26:2320-2329. [PMID: 32191140 DOI: 10.1177/1359105320911432] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
This study used data collected from a smoking cessation program (N = 146) to evaluate whether subjective social status was indirectly associated with smoking cessation through nicotine withdrawal symptoms. Findings indicated that subjective social status was indirectly associated with smoking cessation through withdrawal symptoms, specifically through anger and anxiety symptoms. People with lower subjective social status reported more withdrawal symptoms, particularly symptoms related to anger and anxiety, shortly after a quit attempt, and as such, were less likely to achieve smoking abstinence. Findings from this study provide insight into why socioeconomically disadvantaged adults are less likely to remain abstinent after a quit attempt.
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Hébert ET, Ra CK, Alexander AC, Helt A, Moisiuc R, Kendzor DE, Vidrine DJ, Funk-Lawler RK, Businelle MS. A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial. J Med Internet Res 2020; 22:e16907. [PMID: 32149716 PMCID: PMC7091024 DOI: 10.2196/16907] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 01/17/2020] [Accepted: 02/03/2020] [Indexed: 01/23/2023] Open
Abstract
Background Smartphone apps for smoking cessation could offer easily accessible, highly tailored, intensive interventions at a fraction of the cost of traditional counseling. Although there are hundreds of publicly available smoking cessation apps, few have been empirically evaluated using a randomized controlled trial (RCT) design. The Smart-Treatment (Smart-T2) app is a just-in-time adaptive intervention that uses ecological momentary assessments (EMAs) to assess the risk for imminent smoking lapse and tailors treatment messages based on the risk of lapse and reported symptoms. Objective This 3-armed pilot RCT aimed to determine the feasibility and preliminary efficacy of an automated smartphone-based smoking cessation intervention (Smart-T2) relative to standard in-person smoking cessation clinic care and the National Cancer Institute’s free smoking cessation app, QuitGuide. Methods Adult smokers who attended a clinic-based tobacco cessation program were randomized into groups and followed for 13 weeks (1 week prequitting through 12 weeks postquitting). All study participants received nicotine patches and gum and were asked to complete EMAs five times a day on study-provided smartphones for 5 weeks. Participants in the Smart-T2 group received tailored treatment messages after the completion of each EMA. Both Smart-T2 and QuitGuide apps offer on-demand smoking cessation treatment. Results Of 81 participants, 41 (50%) were women and 55 (68%) were white. On average, participants were aged 49.6 years and smoked 22.4 cigarettes per day at baseline. A total of 17% (14/81) of participants were biochemically confirmed 7-day point prevalence abstinent at 12 weeks postquitting (Smart-T2: 6/27, 22%, QuitGuide: 4/27, 15%, and usual care: 4/27, 15%), with no significant differences across groups (P>.05). Participants in the Smart-T2 group rated the app positively, with most participants agreeing that they can rely on the app to help them quit smoking, and endorsed the belief that the app would help them stay quit, and these responses were not significantly different from the ratings given by participants in the usual care group. Conclusions Dynamic smartphone apps that tailor intervention content in real time may increase user engagement and exposure to treatment-related materials. The results of this pilot RCT suggest that smartphone-based smoking cessation treatments may be capable of providing similar outcomes to traditional, in-person counseling. Trial Registration ClinicalTrials.gov NCT02930200; https://clinicaltrials.gov/show/NCT02930200
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Affiliation(s)
- Emily T Hébert
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Chaelin K Ra
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Adam C Alexander
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Angela Helt
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Rachel Moisiuc
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Darla E Kendzor
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | | | - Rachel K Funk-Lawler
- Department of Psychiatry and Behavioral Sciences, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael S Businelle
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Stevens EM, Johnson AL, Leshner G, Sun F, Kim S, Leavens ELS, Tackett AP, Hébert ET, Wagener TL. People in E-Cigarette Ads Attract More Attention: An Eye-Tracking Study. TOB REGUL SCI 2020; 6:105-117. [PMID: 33816715 PMCID: PMC8018674 DOI: 10.18001/trs.6.2.3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Minimally regulated electronic cigarettes (e-cigarette) advertising may be one potential factor driving the increasing prevalence of young adult e-cigarette use. Using eye-tracking, the current study examined which e-cigarette advertising features were the most appealing to young adults as a first step to examine how e-cigarette advertising may be regulated. METHODS Using a within-subjects design, 30 young adults (M age = 20.0 years) viewed e-cigarette ads in a laboratory. Ad features or areas of interest (AOIs) included: 1) brand logo, 2) product descriptor, and 3) people. During ad viewing, eye-tracking measured participants' dwell time and time to first fixation for each AOI as well as each ad brand. Harm perceptions pre- and post-viewing were measured. RESULTS Participants spent the longest dwell time on people (M = 2701 ms), then product descriptors (M = 924 ms), then brand logos (M = 672 ms; ps < .001). They also fixated fastest on AOIs in that order. Participant sex significantly impacted dwell time of ad brand, and harm perceptions decreased after viewing the ads (ps < .05). CONCLUSIONS This study provides initial evidence about which e-cigarette ad features may appeal most to young adults and may be useful when designing evidence-based policy.
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Affiliation(s)
- Elise M Stevens
- Harvard T.H. Chan School of Public Health, Dana-Farber Cancer Institute, Harvard University, Boston, MA
| | - Amanda L Johnson
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Glenn Leshner
- Edward L. and Thelma Gaylord Chair in journalism, Gaylord College of Journalism and Mass Communication, University of Oklahoma, Norman, OK
| | - FuWei Sun
- Department of Journalism, Fu Hsing Kang College, National Defense University, Taiwan
| | - Seunghyun Kim
- Department of Marketing and Advertising, College of Business, University of Arkansas at Little Rock, Little Rock, AK
| | - Eleanor L S Leavens
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS
| | - Alayna P Tackett
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Emily T Hébert
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Theodore L Wagener
- Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Department of Internal Medicine, The Ohio State University, Columbus, OH
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Suchting R, Hébert ET, Ma P, Kendzor DE, Businelle MS. Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse. Nicotine Tob Res 2020; 21:173-179. [PMID: 29059349 DOI: 10.1093/ntr/ntx201] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 09/05/2017] [Indexed: 11/14/2022]
Abstract
Introduction Machine learning algorithms such as elastic net regression and backward selection provide a unique and powerful approach to model building given a set of psychosocial predictors of smoking lapse measured repeatedly via ecological momentary assessment (EMA). Understanding these predictors may aid in developing interventions for smoking lapse prevention. Methods In a randomized-controlled smoking cessation trial, smartphone-based EMAs were collected from 92 participants following a scheduled quit date. This secondary analysis utilized elastic net-penalized cox proportional hazards regression and model approximation via backward elimination to (1) optimize a predictive model of time to first lapse and (2) simplify that model to its core constituent predictors to maximize parsimony and generalizability. Results Elastic net proportional hazards regression selected 17 of 26 possible predictors from 2065 EMAs to model time to first lapse. The predictors with the highest magnitude regression coefficients were having consumed alcohol in the past hour, being around and interacting with a smoker, and having cigarettes easily available. This model was reduced using backward elimination, retaining five predictors and approximating to 93.9% of model fit. The retained predictors included those mentioned above as well as feeling irritable and being in areas where smoking is either discouraged or allowed (as opposed to not permitted). Conclusions The strongest predictors of smoking lapse were environmental in nature (e.g., being in smoking-permitted areas) as opposed to internal factors such as psychological affect. Interventions may be improved by a renewed focus of interventions on these predictors. Implications The present study demonstrated the utility of machine learning algorithms to optimize the prediction of time to smoking lapse using EMA data. The two models generated by the present analysis found that environmental factors were most strongly related to smoking lapse. The results support the use of machine learning algorithms to investigate intensive longitudinal data, and provide a foundation for the development of highly tailored, just-in-time interventions that can target on multiple antecedents of smoking lapse.
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Affiliation(s)
- Robert Suchting
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX
| | - Emily T Hébert
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK
| | - Ping Ma
- Division of Population Health, Children's Medical Center, Dallas, TX
| | - Darla E Kendzor
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK.,Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Michael S Businelle
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK.,Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK
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Waring JJ, Hébert ET, Alexander AC, Kendzor DE, Businelle MS. Evaluating the influences of social support and smoking cues on daily smoking abstinence among socioeconomically disadvantaged adults. Addict Behav 2020; 100:106107. [PMID: 31518753 DOI: 10.1016/j.addbeh.2019.106107] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Revised: 07/09/2019] [Accepted: 08/19/2019] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Perceived social support and smoking cues, such as cigarette availability, are important factors that affect smoking cessation outcomes. However, very few studies examine the influences of social support and smoking cues on lapse during a quit attempt. METHODS Socioeconomically disadvantaged smokers participating in a smoking cessation program at a safety net hospital completed smartphone-based ecological momentary assessments (EMAs) for two consecutive weeks (1-week pre-quit through 1-week post-quit). A mixed-effects logistic regression model was used to evaluate whether perceived support to quit smoking, perceived pressure to quit smoking, and situational cues (i.e., being offered a cigarette) were related to the likelihood of reporting smoking cigarettes on any EMA within a day. RESULTS Perceived social pressure and support to quit were not related to daily smoking status. Participants were more likely to smoke on days when they were offered a cigarette compared to days when no such event occurred (OR = 3.31 [95% CI = 1.21, 9.06]). This effect was also significant after adjusting for perceived social pressure to quit and support to quit (OR = 3.38 [95% CI = 1.23, 9.31]). CONCLUSION The results suggest that being offered a cigarette negatively impacts smoking cessation. The results reinforce the need for including cigarette refusal skills in smoking cessation treatment to reduce the likelihood of smoking lapse among socioeconomically disadvantaged adults.
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Businelle MS, Hébert ET, Kendzor DE. Introduction to the special issue on use of mobile technology for real-time assessment and treatment of substance-use disorders. Am J Drug Alcohol Abuse 2019; 44:499-501. [PMID: 30044667 DOI: 10.1080/00952990.2018.1484923] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Michael S Businelle
- a Department of Family and Preventive Medicine , University of Oklahoma Health Sciences Center , Oklahoma City , OK , USA.,b Oklahoma Tobacco Research Center, Stephenson Cancer Center , Oklahoma City , OK , USA
| | - Emily T Hébert
- b Oklahoma Tobacco Research Center, Stephenson Cancer Center , Oklahoma City , OK , USA
| | - Darla E Kendzor
- a Department of Family and Preventive Medicine , University of Oklahoma Health Sciences Center , Oklahoma City , OK , USA.,b Oklahoma Tobacco Research Center, Stephenson Cancer Center , Oklahoma City , OK , USA
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Kendzor DE, Hébert ET, Businelle MS. Epilogue to the special issue on the use of mobile technology for real-time assessment and treatment of substance use disorders. Am J Drug Alcohol Abuse 2019; 44:571-574. [PMID: 30044669 DOI: 10.1080/00952990.2018.1495220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Darla E Kendzor
- a The University of Oklahoma Health Sciences Center, Stephenson Cancer Center , Oklahoma City , OK , USA
| | - Emily T Hébert
- a The University of Oklahoma Health Sciences Center, Stephenson Cancer Center , Oklahoma City , OK , USA
| | - Michael S Businelle
- a The University of Oklahoma Health Sciences Center, Stephenson Cancer Center , Oklahoma City , OK , USA
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Alexander AC, Nollen NL, Ahluwalia JS, Hébert ET, Businelle MS, Kendzor DE. Darker skin color is associated with a lower likelihood of smoking cessation among males but not females. Soc Sci Med 2019; 240:112562. [PMID: 31586778 PMCID: PMC6921999 DOI: 10.1016/j.socscimed.2019.112562] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 08/24/2019] [Accepted: 09/19/2019] [Indexed: 11/21/2022]
Abstract
Darker skin color is associated with discrimination and unfair treatment and may contribute to persisting health disparities. This study examined whether darker skin color was associated with smoking cessation and whether this association was moderated by sex and race. This study also explored whether biological and psychosocial factors, including nicotine and cotinine concentrations, discrimination, distrust, and neuroticism, mediated this association. The data for this study came from a prospective smoking cessation intervention that included 224 Black and 225 White adults from Kansas City, Missouri. Skin color was assessed using a DermaSpectrometer to measure melanin contained within the skin. Point prevalence smoking abstinence was biochemically-verified and assessed at weeks 4 and 26. Hierarchical logistic regression analyses were conducted to evaluate hypothesized relations between skin color and smoking cessation. Interactions between race and sex with skin color were also evaluated. While skin color was not associated with smoking cessation in the overall sample or among Blacks only, results indicated that sex moderated the effect of skin color on smoking cessation after adjusting for race and other covariates. Among males, darker skin color was associated with lower odds of achieving smoking abstinence at weeks 4 (OR = 0.60 [95% CI = 0.36, 0.99]) and 26 (OR = 0.52 [95% CI = 0.29, 0.91]). Skin color did not predict smoking cessation among females. Skin color was positively correlated with discrimination (r = 0.15, p = 0.02), cynicism/distrust (r = 0.14, p = 0.03) and neuroticism (r = 0.24, p < 0.01) among males only. However, these factors did not mediate the association between skin color and smoking cessation. Skin color may contribute to cessation-related health disparities among Black males, but more research is needed to understand the psychosocial and biological mechanisms through which skin color influences tobacco cessation.
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Affiliation(s)
- Adam C Alexander
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
| | - Nicole L Nollen
- Department of Preventive Medicine and Public Health, University of Kansas School of Medicine, Kansas City, KS, USA
| | - Jasjit S Ahluwalia
- Department of Behavioral and Social Sciences and the Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI, USA
| | - Emily T Hébert
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Michael S Businelle
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Darla E Kendzor
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
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Koslovsky MD, Hébert ET, Swartz MD, Chan W, Leon-Novelo L, Wilkinson AV, Kendzor DE, Businelle MS. The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt. Nicotine Tob Res 2019; 20:1231-1236. [PMID: 29059413 DOI: 10.1093/ntr/ntx225] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 09/28/2017] [Indexed: 11/13/2022]
Abstract
Introduction Intensive longitudinal data (ILD) collected with ecological momentary assessments (EMAs) can provide a rich resource for understanding the relations between risk factors and smoking in the time surrounding a cessation attempt. Methods Participants (N = 142) were smokers seeking treatment at a safety-net hospital smoking cessation clinic who were randomly assigned to receive standard clinic care (ie, counseling and cessation medications) or standard care plus small financial incentives for biochemically confirmed smoking abstinence. Participants completed EMAs via study provided smartphones several times per day for 14 days (1 week prequit through 1 week postquit). EMAs assessed current contextual factors including environmental (eg, easy access to cigarettes, being around others smoking), cognitive (eg, urge to smoke, stress, coping expectancies, cessation motivation, cessation self-efficacy, restlessness), behavioral (ie, recent smoking and alcohol consumption), and affective variables. Temporal relations between risk factors and smoking were assessed using a logistic time-varying effect model. Results Participants were primarily female (57.8%) and Black (71.8%), with an annual household income of <$20000 per year (71.8%), who smoked 17.6 cigarettes per day (SD = 8.8). Individuals assigned to the financial incentives group had decreased odds of smoking compared with those assigned to usual care beginning 3 days before the quit attempt and continuing throughout the first week postquit. Environmental, cognitive, affective, and behavioral variables had complex time-varying impacts on smoking before and after the scheduled quit attempt. Conclusions Knowledge of time-varying effects may facilitate the development of interventions that target specific psychosocial and behavioral variables at critical moments in the weeks surrounding a quit attempt. Implications Previous research has examined time-varying relations between smoking and negative affect, urge to smoke, smoking dependence, and certain smoking cessation therapies. We extend this work using ILD of unexplored variables in a socioeconomically disadvantaged sample of smokers seeking cessation treatment. These findings could be used to inform ecological momentary interventions that deliver treatment resources (eg, video- or text-based content) to individuals based upon critical variables surrounding their attempt.
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Affiliation(s)
| | - Emily T Hébert
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK
| | - Michael D Swartz
- Department of Biostatistics & Data Science, UTHealth, Houston, TX
| | - Wenyaw Chan
- Department of Biostatistics & Data Science, UTHealth, Houston, TX
| | - Luis Leon-Novelo
- Department of Biostatistics & Data Science, UTHealth, Houston, TX
| | | | - Darla E Kendzor
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK.,Department of Family and Preventive Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Michael S Businelle
- Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK.,Department of Family and Preventive Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK
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Alexander AC, Hébert ET, Businelle MS, Kendzor DE. Greater perceived importance of earning abstinence-contingent incentives is associated with smoking cessation among socioeconomically disadvantaged adults. Addict Behav 2019; 95:202-205. [PMID: 30959415 DOI: 10.1016/j.addbeh.2019.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 03/29/2019] [Accepted: 04/01/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND Individuals' perceptions of the importance of earning financial incentives for smoking cessation may influence the effectiveness of contingency management interventions. This study prospectively explored the perceived importance of earning financial incentives for smoking cessation and its association with smoking cessation within a contingency management intervention among socioeconomically disadvantaged adults. METHODS This study is a secondary analysis of data from a randomized clinical trial that recruited socioeconomically disadvantaged adults from a safety-net hospital in Dallas County, Texas, from 2011 to 2013. Participants, who were randomly assigned to receive small financial incentives for smoking abstinence (N = 75), rated the importance of earning abstinence-contingent financial incentives one day after their scheduled quit day and one-week post-quit day. Self-reported smoking abstinence was biochemically confirmed weekly through the fourth week post-quit day and at the twelfth week post-quit day. Participants were considered continuously abstinent if self-reported abstinence since the quit date was biochemically confirmed. RESULTS Greater perceived importance of earning abstinence contingent incentives for smoking cessation was associated with a higher likelihood of achieving continuous abstinence during the four-week intervention period (OR = 3.95 [95% CI = 1.64, 9.53]) and through 12 weeks post-quit day (OR = 4.71 [95% CI = 1.56, 14.26]). CONCLUSIONS Findings suggest that the perceived importance of earning abstinence-contingent incentives early in a quit attempt predicts smoking cessation among socioeconomically disadvantaged adults and may indicate whether an individual will be responsive to the magnitude of incentives offered.
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Leavens ELS, Stevens EM, Brett EI, Hébert ET, Villanti AC, Pearson JL, Wagener TL. JUUL electronic cigarette use patterns, other tobacco product use, and reasons for use among ever users: Results from a convenience sample. Addict Behav 2019; 95:178-183. [PMID: 30933713 DOI: 10.1016/j.addbeh.2019.02.011] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 02/04/2019] [Accepted: 02/13/2019] [Indexed: 12/31/2022]
Abstract
INTRODUCTION JUUL, an e-cigarette from PAX Labs, has captured 70% of the e-cigarette market. The current study examines JUUL use patterns and reasons for initiation in a large convenience sample of U.S. adults. METHODS Respondents were 979 U.S. adults registered on Amazon Mechanical Turk (MTurk) who reported ever using JUUL. Items included frequency/quantity of JUUL use, reasons for trying JUUL, flavor preferences, and use of other tobacco products. RESULTS The majority of participants reported only trying JUUL once or twice (59.5%), 29.2% reported regular nondaily use and 10.3% reported daily use. The average quantity of JUUL pod use was low in the overall sample (4 pods per month). Daily users reported using ~10 pods per month and engaging in 4-9 separate vaping sessions per day. The most frequently reported reasons for JUUL use were because friends were using it (26.5%), curiosity (20.5%), and similarity to a cigarette (7.7%). Approximately 26% of current JUUL users reported current exclusive JUUL use, while 56% reported using JUUL and another e-cigarette. Of the entire sample, 37.1% were former smokers. Of those, 14.9% were daily JUUL users, 21.4% were nondaily JUUL users, and 63.8% were JUUL triers. CONCLUSIONS This is the first study to examine patterns and reasons for use of the most popular e-cigarette on the market. In this convenience sample, nearly 40% of those who ever tried JUUL reported current daily or daily use. JUUL use may be associated with limited puffing patterns compared to earlier generation e-cigarettes. Research is needed to investigate if JUUL puffing patterns result in decreased exposure to potentially harmful non-nicotine e-liquid constituents compared to other e-cigarettes.
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Affiliation(s)
- Eleanor L S Leavens
- Oklahoma Tobacco Research Center, Oklahoma City, OK, United States of America; Oklahoma State University, Department of Psychology, Stillwater, OK, United States of America
| | - Elise M Stevens
- Oklahoma Tobacco Research Center, Oklahoma City, OK, United States of America
| | - Emma I Brett
- Oklahoma State University, Department of Psychology, Stillwater, OK, United States of America
| | - Emily T Hébert
- Oklahoma Tobacco Research Center, Oklahoma City, OK, United States of America
| | - Andrea C Villanti
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, VT, United States of America
| | - Jennifer L Pearson
- Division of Social and Behavioral Health/Health Administration, Policy, School of Community Health Sciences, University of Nevada, Reno, United States of America
| | - Theodore L Wagener
- Oklahoma Tobacco Research Center, Oklahoma City, OK, United States of America; University of Oklahoma Health Science Center, Department of Pediatrics, Oklahoma City, OK, United States of America.
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Vijayaraghavan M, Neisler J, Wrighting Q, Reitzel LR, Hébert ET, Rash CJ, Kendzor DE, Businelle MS. Income associations with cigarette purchasing behaviors and quit attempts among people experiencing homelessness. Addict Behav 2019; 95:197-201. [PMID: 30959414 DOI: 10.1016/j.addbeh.2019.04.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 03/30/2019] [Accepted: 04/02/2019] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Cigarette purchasing behavior may reflect quitting intentions. Little is known about how income could modify the association between cigarette purchasing behaviors and quit attempts among smokers experiencing homelessness. METHODS Homeless, current smokers completed a questionnaire on the amount spent weekly on cigarettes (≤$20/week versus >$20/week), source of cigarettes (store versus other source), quantity of cigarettes purchased (<pack versus ≥pack), and past-year quit attempts. The association of participant income and these cigarette purchasing behaviors were examined. The relationship between cigarette purchasing behaviors and quit attempts was also examined and monthly income (none versus any) was explored as a potential moderator of this relationship. RESULTS Of the 472 currently smoking individuals, 55% reported spending >$20/week on cigarettes, 83% reported purchasing cigarettes from a store, and 86% reported purchasing ≥pack during their last purchase. Those who reported an income spent a third of their monthly income on cigarettes, and were more likely to spend >$20/week on cigarettes. The amount spent weekly on cigarettes and the source of cigarettes was not associated with quit attempts, nor did income moderate these relationships. Persons without an income who bought a pack or more of cigarettes made fewer quit attempts (β = -0.4, 95% CI -0.7, -0.2), whereas the association between quantity of cigarettes purchased and quit attempts was not significant for those with an income (β = -0.2, 95% CI -0.4, 0.1). CONCLUSIONS Current smokers experiencing homelessness and who are without an income may find it particularly challenging to engage in attempts to quit smoking. Smoking cessation interventions that highlight relief of financial hardship as a potential benefit of successfully quitting smoking may be useful among this population.
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Neisler J, Reitzel LR, Garey L, Kendzor DE, Hébert ET, Vijayaraghavan M, Businelle MS. Corrigendum to "Concurrent nicotine and tobacco product use among homeless smokers and associations with cigarette dependence and other factors related to quitting" [Drug Alcohol Depend. 185 (2018) 133-140]. Drug Alcohol Depend 2019; 199:68. [PMID: 31009832 DOI: 10.1016/j.drugalcdep.2019.04.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Julie Neisler
- Department of Psychological, Health, and Learning Sciences, The University of Houston, College of Education, 491 Farish Hall, Houston, TX, 77204-5029, United States
| | - Lorraine R Reitzel
- Department of Psychological, Health, and Learning Sciences, The University of Houston, College of Education, 491 Farish Hall, Houston, TX, 77204-5029, United States.
| | - Lorra Garey
- Department of Psychology, The University of Houston, 126 Heyne Building, Houston, TX, 77204-5029, United States
| | - Darla E Kendzor
- Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center, 655 Research Parkway, Suite 400, Oklahoma City, OK, 73104, United States
| | - Emily T Hébert
- Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center, 655 Research Parkway, Suite 400, Oklahoma City, OK, 73104, United States
| | - Maya Vijayaraghavan
- Division of General Internal Medicine, University of California San Francisco, 1001 Potrero Avenue, 1311 E, Box 1364, San Francisco, CA, 94110, United States
| | - Michael S Businelle
- Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center, 655 Research Parkway, Suite 400, Oklahoma City, OK, 73104, United States
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Neisler J, Reitzel LR, Garey L, Kendzor DE, Hébert ET, Vijayaraghavan M, Businelle MS. Corrigendum to "The moderating effect of perceived social support on the relation between heaviness of smoking and quit attempts among adult homeless smokers" [Drug and Alcohol Depend. 190 (2018) 128-132]. Drug Alcohol Depend 2019; 199:69. [PMID: 31009833 DOI: 10.1016/j.drugalcdep.2019.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Julie Neisler
- Department of Psychological, Health, and Learning Sciences, College of Education, The University of Houston, 491 Farish Hall, Houston, TX, 77204, USA; HEALTH Research Institute, The University of Houston, 4849 Calhoun Road, Houston, TX, 77204, USA
| | - Lorraine R Reitzel
- Department of Psychological, Health, and Learning Sciences, College of Education, The University of Houston, 491 Farish Hall, Houston, TX, 77204, USA; HEALTH Research Institute, The University of Houston, 4849 Calhoun Road, Houston, TX, 77204, USA.
| | - Lorra Garey
- Department of Psychology, The University of Houston, 126 Heyne Building, Houston, TX, 77204, USA
| | - Darla E Kendzor
- The University of Oklahoma Health Sciences Center, Oklahoma Tobacco Research Center, 655 Research Parkway, Suite 400, Oklahoma City, OK, 73104, USA
| | - Emily T Hébert
- The University of Oklahoma Health Sciences Center, Oklahoma Tobacco Research Center, 655 Research Parkway, Suite 400, Oklahoma City, OK, 73104, USA
| | - Maya Vijayaraghavan
- Division of General Internal Medicine/Zuckerberg San Francisco General Hospital, University of California San Francisco, 1001 Potrero Ave., Rm. 1311E, San Francisco, CA, 94110, USA
| | - Michael S Businelle
- The University of Oklahoma Health Sciences Center, Oklahoma Tobacco Research Center, 655 Research Parkway, Suite 400, Oklahoma City, OK, 73104, USA
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Cooper MR, Case KR, Hébert ET, Vandewater EA, Raese KA, Perry CL, Businelle MS. Characterizing ENDS use in young adults with ecological momentary assessment: Results from a pilot study. Addict Behav 2019; 91:30-36. [PMID: 30471788 PMCID: PMC6364672 DOI: 10.1016/j.addbeh.2018.11.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 11/15/2018] [Accepted: 11/16/2018] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Ecological Momentary Assessment (EMA) allows for assessment of electronic nicotine delivery systems (ENDS) use in real-time. This EMA study aimed to 1) describe study participation rates; 2) evaluate the concordance of EMA and survey items measuring frequency and quantity of ENDS use; and 3) assess the relationships between EMA items measuring frequency and quantity of ENDS use with ENDS dependence, measured at baseline and with saliva cotinine collected at follow-up. METHODS Fifty young adult ENDS users completed baseline surveys, EMAs (i.e., random, event-based, daily diaries), and follow-up questionnaires over a 14-day period. Spearman correlations were conducted to determine concordance of survey items. Linear regression models assessed the relationships between EMA ENDS use characteristics (e.g., puffs, number of days used, quantity of e-liquid) with dependence items at baseline and saliva cotinine at follow-up. RESULTS Overall completion for the prompted EMAs (random and daily diaries) was 68%. Correlations between EMA measures assessing ENDS use ranged from weak (ρ = -0.02; NS) to strong (ρ = 0.69, p < .001); EMA to follow-up items ranged from weak (ρ = 0.16; p < .05) to moderate (ρ = 0.54; p < .001). Significant associations were found between ENDS use measured via random and daily diary EMAs and saliva cotinine at follow-up after controlling for cigarette smoking (B = 0.70-1.76; p < .01), but not for event-based EMAs. Items measuring frequency/quantity of use from random EMAs were consistently associated with ENDS dependence at baseline (B = 0.74-1.58; p < .01). CONCLUSION EMA represents a promising methodology to capture real-time ENDS use behaviors, primarily through daily diary and random EMAs.
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Affiliation(s)
- Maria R Cooper
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, 1616 Guadalupe Street, Suite 6.300, Austin, TX 78701, USA.
| | - Kathleen R Case
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, 1616 Guadalupe Street, Suite 6.300, Austin, TX 78701, USA
| | - Emily T Hébert
- The University of Oklahoma Health Sciences Center, Oklahoma Tobacco Research Center, 655 Research Parkway, Suite 400, Oklahoma City, OK 73104, USA
| | - Elizabeth A Vandewater
- University of Texas at Austin, Population Research Center, 305 E. 23rd Street, Stop G1800, Austin, TX 78712, USA
| | - Kristen A Raese
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, 1616 Guadalupe Street, Suite 6.300, Austin, TX 78701, USA
| | - Cheryl L Perry
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, 1616 Guadalupe Street, Suite 6.300, Austin, TX 78701, USA
| | - Michael S Businelle
- The University of Oklahoma Health Sciences Center, Oklahoma Tobacco Research Center, 655 Research Parkway, Suite 400, Oklahoma City, OK 73104, USA
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Nandy RR, Nandy K, Hébert ET, Businelle MS, Walters ST. Identifying Behaviors Predicting Early Morning Emotions by Observing Permanent Supportive Housing Residents: An Ecological Momentary Assessment. JMIR Ment Health 2019; 6:e10186. [PMID: 30730296 PMCID: PMC6385519 DOI: 10.2196/10186] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 10/07/2018] [Accepted: 10/30/2018] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Behavior and emotions are closely intertwined. The relationship between behavior and emotions might be particularly important in populations of underserved people, such as people with physical or mental health issues. We used ecological momentary assessment (EMA) to examine the relationship between emotional state and other characteristics among people with a history of chronic homelessness who were participating in a health coaching program. OBJECTIVE The goal of this study was to identify relationships between daily emotional states (valence and arousal) shortly after waking and behavioral variables such as physical activity, diet, social interaction, medication compliance, and tobacco usage the prior day, controlling for demographic characteristics. METHODS Participants in m.chat, a technology-assisted health coaching program, were recruited from housing agencies in Fort Worth, Texas, United States. All participants had a history of chronic homelessness and reported at least one mental health condition. We asked a subset of participants to complete daily EMAs of emotions and other behaviors. From the circumplex model of affect, the EMA included 9 questions related to the current emotional state of the participant (happy, frustrated, sad, worried, restless, excited, calm, bored, and sluggish). The responses were used to calculate two composite scores for valence and arousal. RESULTS Nonwhites reported higher scores for both valence and arousal, but not at a statistically significant level after correcting for multiple testing. Among momentary predictors, greater time spent in one-on-one interactions, greater time spent in physical activities, a greater number of servings of fruits and vegetables, greater time spent interacting in a one-on-one setting as well as adherence to prescribed medication the previous day were generally associated with higher scores for both valence and arousal, and statistical significance was achieved in most cases. Number of cigarettes smoked the previous day was generally associated with lower scores on both valence and arousal, although statistical significance was achieved for valence only when correcting for multiple testing. CONCLUSIONS This study provides an important glimpse into factors that predict morning emotions among people with mental health issues and a history of chronic homelessness. Behaviors considered to be positive (eg, physical activity and consumption of fruits and vegetables) generally enhanced positive affect and restrained negative affect the following morning. The opposite was true for behaviors such as smoking, which are considered to be negative.
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Affiliation(s)
- Rajesh R Nandy
- Department of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Karabi Nandy
- Department of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Emily T Hébert
- Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael S Businelle
- Department of Family and Preventive Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Scott T Walters
- Department of Health Behavior and Health Systems, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, United States
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