1
|
Buller DB, Sussman AL, Thomson CA, Kepka D, Taren D, Henry KL, Warner EL, Walkosz BJ, Woodall WG, Nuss K, Blair CK, Guest DD, Borrayo EA, Gordon JS, Hatcher J, Wetter DW, Kinsey A, Jones CF, Yung AK, Christini K, Berteletti J, Torres JA, Barraza Perez EY, Small A. #4Corners4Health Social Media Cancer Prevention Campaign for Emerging Adults: Protocol for a Randomized Stepped-Wedge Trial. JMIR Res Protoc 2024; 13:e50392. [PMID: 38386396 PMCID: PMC10921336 DOI: 10.2196/50392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 12/28/2023] [Accepted: 01/02/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Many emerging adults (EAs) are prone to making unhealthy choices, which increase their risk of premature cancer morbidity and mortality. In the era of social media, rigorous research on interventions to promote health behaviors for cancer risk reduction among EAs delivered over social media is limited. Cancer prevention information and recommendations may reach EAs more effectively over social media than in settings such as health care, schools, and workplaces, particularly for EAs residing in rural areas. OBJECTIVE This pragmatic randomized trial aims to evaluate a multirisk factor intervention using a social media campaign designed with community advisers aimed at decreasing cancer risk factors among EAs. The trial will target EAs from diverse backgrounds living in rural counties in the Four Corners states of Arizona, Colorado, New Mexico, and Utah. METHODS We will recruit a sample of EAs (n=1000) aged 18 to 26 years residing in rural counties (Rural-Urban Continuum Codes 4 to 9) in the Four Corners states from the Qualtrics' research panel and enroll them in a randomized stepped-wedge, quasi-experimental design. The inclusion criteria include English proficiency and regular social media engagement. A social media intervention will promote guideline-related goals for increased physical activity, healthy eating, and human papillomavirus vaccination and reduced nicotine product use, alcohol intake, and solar UV radiation exposure. Campaign posts will cover digital and media literacy skills, responses to misinformation, communication with family and friends, and referral to community resources. The intervention will be delivered over 12 months in Facebook private groups and will be guided by advisory groups of community stakeholders and EAs and focus groups with EAs. The EAs will complete assessments at baseline and at 12, 26, 39, 52, and 104 weeks after randomization. Assessments will measure 6 cancer risk behaviors, theoretical mediators, and participants' engagement with the social media campaign. RESULTS The trial is in its start-up phase. It is being led by a steering committee. Team members are working in 3 subcommittees to optimize community engagement, the social media intervention, and the measures to be used. The Stakeholder Organization Advisory Board and Emerging Adult Advisory Board were formed and provided initial input on the priority of cancer risk factors to target, social media use by EAs, and community resources available. A framework for the social media campaign with topics, format, and theoretical mediators has been created, along with protocols for campaign management. CONCLUSIONS Social media can be used as a platform to counter misinformation and improve reliable health information to promote health behaviors that reduce cancer risks among EAs. Because of the popularity of web-based information sources among EAs, an innovative, multirisk factor intervention using a social media campaign has the potential to reduce their cancer risk behaviors. TRIAL REGISTRATION ClinicalTrials.gov NCT05618158; https://classic.clinicaltrials.gov/ct2/show/NCT05618158. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/50392.
Collapse
Affiliation(s)
| | - Andrew L Sussman
- University of New Mexico Comprehensive Cancer Care Center, Albuquerque, NM, United States
| | - Cynthia A Thomson
- Department of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States
| | - Deanna Kepka
- College of Nursing and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Douglas Taren
- Section of Nutrition, University of Colorado Denver, Aurora, CO, United States
| | - Kimberly L Henry
- Department of Psychology, College of Natural Sciences, Colorado State University, Fort Collins, CO, United States
| | - Echo L Warner
- College of Nursing and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | | | | | - Kayla Nuss
- Klein Buendel, Golden, CO, United States
| | - Cindy K Blair
- University of New Mexico Comprehensive Cancer Care Center, Albuquerque, NM, United States
| | - Dolores D Guest
- University of New Mexico Comprehensive Cancer Care Center, Albuquerque, NM, United States
| | - Evelinn A Borrayo
- University of Colorado Cancer Center, University of Colorado Denver, Aurora, CO, United States
| | - Judith S Gordon
- College of Nursing, University of Arizona, Tucson, AZ, United States
| | | | - David W Wetter
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | | | - Christopher F Jones
- University of Colorado Cancer Center, University of Colorado Denver, Aurora, CO, United States
| | - Angela K Yung
- College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Kaila Christini
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | | | - John A Torres
- University of New Mexico Comprehensive Cancer Care Center, Albuquerque, NM, United States
| | | | | |
Collapse
|
2
|
Patrick ME, Terry-McElrath YM, Bonar EE. Patterns and predictors of high-intensity drinking and implications for intervention. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2022; 36:581-594. [PMID: 36066869 PMCID: PMC9449141 DOI: 10.1037/adb0000758] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Abstract
Efforts to intervene with subgroups at particularly high risk for alcohol use require information on factors that differentiate drinking intensity levels. This article summarizes existing research and provides new findings on sociodemographics and risk factors that differentiate high-intensity drinking (HID) to provide context for developing and delivering interventions for the highest-risk drinkers. Cross-sectional data were obtained in 2019 from participants who reported past 30-day alcohol use in 2018 as part of the nationally representative 12th grade Monitoring the Future study. Among past 2-week drinkers in 2019 (N = 601; modal age 19; 57.0% male; 67.4% non-Hispanic White), bivariate associations between drinking intensity (moderate drinking [1-4 drinks for women/1-5 drinks for men], binge-only drinking [4-7/5-9 drinks], and HID [8+/10+ drinks]) and a range of sociodemographic characteristics, risk factors, and alcohol-related consequences were examined. Results showed binge-drinking norms, social and enhancement drinking motives, nicotine vaping, and use of limiting/stopping drinking and manner of drinking protective behavioral strategies differentiated all drinking intensity levels, lending support to HID and binge-only drinking having an overlapping risk profile. However, there were also risk factors uniquely associated with HID, including sex, college attendance, employment, HID norms, use of serious harm reduction protective behavioral strategies, family history of drinking problems, any cigarette or drug use other than marijuana, and depression symptoms. Therefore, risk factors differentiate young adult drinking intensity. These results can inform efforts to adapt interventions for young adults who report HID. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Collapse
Affiliation(s)
- Megan E. Patrick
- Institute for Social Research, University of Michigan, Ann Arbor
| | | | - Erin E. Bonar
- Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor
- Injury Prevention Center, University of Michigan, Ann Arbor
| |
Collapse
|
3
|
Bonar EE, Bauermeister JA, Blow FC, Bohnert ASB, Bourque C, Coughlin LN, Davis AK, Florimbio AR, Goldstick JE, Wisnieski DM, Young SD, Walton MA. A randomized controlled trial of social media interventions for risky drinking among adolescents and emerging adults. Drug Alcohol Depend 2022; 237:109532. [PMID: 35759874 PMCID: PMC9745675 DOI: 10.1016/j.drugalcdep.2022.109532] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 06/02/2022] [Accepted: 06/03/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE Alcohol use among adolescents and emerging adults is an important public health issue requiring prevention approaches. Herein, we describe outcomes from a randomized controlled trial testing the efficacy of group-based social media interventions targeting risky drinking among youth. PROCEDURES Using social media advertisements to screen potential participants, we recruited 955 youth (ages 16-24) reporting recent risky drinking. After completing a baseline assessment, participants were randomized to 8-week secret Facebook group conditions: Social Media Intervention + Incentives for engagement, Social Media Intervention only, and attention-placebo control. Electronic coaches trained in motivational interviewing facilitated interaction in intervention groups. Primary outcomes include past 3-month alcohol use and consequences over 3-, 6-, and 12-month follow-ups. Secondary outcomes include other drug use, consequences, and impaired driving. We also measured intervention engagement and acceptability. RESULTS The interventions were well-received, with significantly greater acceptability ratings and engagement in the SMI+I condition relative to other groups. In adjusted analyses, there were no significant differences between interventions and control on alcohol-related outcomes, with all groups showing reductions. Regarding secondary outcomes (70.4% used other drugs), compared to control, the incentivized group reduced other drug use, consequences, and cannabis-impaired driving; the non-incentivized group did not significantly differ from the control condition. CONCLUSIONS Among this predominantly poly-substance using sample, findings were mixed, with significant effects of the incentivized social media intervention on drug (but not alcohol) outcomes. Future studies are needed to further refine social media-delivered interventions to reduce alcohol and other drug use. TRIAL REGISTRATION ClinicalTrials.gov NCT02809586; University of Michigan HUM#00102242.
Collapse
Affiliation(s)
- Erin E. Bonar
- Department of Psychiatry, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Addiction Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Injury Prevention Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 10, Ann Arbor, MI 48109, USA
| | - José A. Bauermeister
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA 19104
| | - Frederic C. Blow
- Department of Psychiatry, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Addiction Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Veterans Health Administration, Center for Clinical Management Research, North Campus Research Complex, 2800 Plymouth Rd Bldg 16, Ann Arbor, MI 48109, USA
| | - Amy S. B. Bohnert
- Veterans Health Administration, Center for Clinical Management Research, North Campus Research Complex, 2800 Plymouth Rd Bldg 16, Ann Arbor, MI 48109, USA,Department of Anesthesiology, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA
| | - Carrie Bourque
- Department of Psychiatry, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Addiction Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA
| | - Lara N. Coughlin
- Department of Psychiatry, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Addiction Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Injury Prevention Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 10, Ann Arbor, MI 48109, USA
| | - Alan K. Davis
- Center for Psychedelic Drug Research and Education, College of Social Work, The Ohio State University, 1947 College Rd, Columbus, OH 43210 USA,Center for Psychedelic and Consciousness Research, Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, 5510 Nathan Shock Drive, Baltimore, MD 21224 USA
| | - Autumn Rae Florimbio
- Department of Psychiatry, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Addiction Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA
| | - Jason E. Goldstick
- Injury Prevention Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 10, Ann Arbor, MI 48109, USA,Department of Emergency Medicine, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd Bldg 10-G080, Ann Arbor, MI 48109, USA,Health Behavior & Health Education, School of Public Health, University of Michigan, Ann Arbor, MI 48105
| | - Diane M. Wisnieski
- Department of Psychiatry, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Addiction Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA
| | - Sean D. Young
- Department of Informatics, Donald Bren School of Information and Computer Sciences, University of California Irvine, Irvine, CA 92697,Department of Emergency Medicine, University of California Irvine, Irvine, CA 92697
| | - Maureen A. Walton
- Department of Psychiatry, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Addiction Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 16, Ann Arbor, MI 48109, USA,Injury Prevention Center, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd. Building 10, Ann Arbor, MI 48109, USA
| |
Collapse
|
4
|
Petkovic J, Duench S, Trawin J, Dewidar O, Pardo Pardo J, Simeon R, DesMeules M, Gagnon D, Hatcher Roberts J, Hossain A, Pottie K, Rader T, Tugwell P, Yoganathan M, Presseau J, Welch V. Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population. Cochrane Database Syst Rev 2021; 5:CD012932. [PMID: 34057201 PMCID: PMC8406980 DOI: 10.1002/14651858.cd012932.pub2] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Social networking platforms offer a wide reach for public health interventions allowing communication with broad audiences using tools that are generally free and straightforward to use and may be combined with other components, such as public health policies. We define interactive social media as activities, practices, or behaviours among communities of people who have gathered online to interactively share information, knowledge, and opinions. OBJECTIVES We aimed to assess the effectiveness of interactive social media interventions, in which adults are able to communicate directly with each other, on changing health behaviours, body functions, psychological health, well-being, and adverse effects. Our secondary objective was to assess the effects of these interventions on the health of populations who experience health inequity as defined by PROGRESS-Plus. We assessed whether there is evidence about PROGRESS-Plus populations being included in studies and whether results are analysed across any of these characteristics. SEARCH METHODS We searched CENTRAL, CINAHL, Embase, MEDLINE (including trial registries) and PsycINFO. We used Google, Web of Science, and relevant web sites to identify additional studies and searched reference lists of included studies. We searched for published and unpublished studies from 2001 until June 1, 2020. We did not limit results by language. SELECTION CRITERIA We included randomised controlled trials (RCTs), controlled before-and-after (CBAs) and interrupted time series studies (ITSs). We included studies in which the intervention website, app, or social media platform described a goal of changing a health behaviour, or included a behaviour change technique. The social media intervention had to be delivered to adults via a commonly-used social media platform or one that mimicked a commonly-used platform. We included studies comparing an interactive social media intervention alone or as a component of a multi-component intervention with either a non-interactive social media control or an active but less-interactive social media comparator (e.g. a moderated versus an unmoderated discussion group). Our main outcomes were health behaviours (e.g. physical activity), body function outcomes (e.g. blood glucose), psychological health outcomes (e.g. depression), well-being, and adverse events. Our secondary outcomes were process outcomes important for behaviour change and included knowledge, attitudes, intention and motivation, perceived susceptibility, self-efficacy, and social support. DATA COLLECTION AND ANALYSIS We used a pre-tested data extraction form and collected data independently, in duplicate. Because we aimed to assess broad outcomes, we extracted only one outcome per main and secondary outcome categories prioritised by those that were the primary outcome as reported by the study authors, used in a sample size calculation, and patient-important. MAIN RESULTS We included 88 studies (871,378 participants), of which 84 were RCTs, three were CBAs and one was an ITS. The majority of the studies were conducted in the USA (54%). In total, 86% were conducted in high-income countries and the remaining 14% in upper middle-income countries. The most commonly used social media platform was Facebook (39%) with few studies utilising other platforms such as WeChat, Twitter, WhatsApp, and Google Hangouts. Many studies (48%) used web-based communities or apps that mimic functions of these well-known social media platforms. We compared studies assessing interactive social media interventions with non-interactive social media interventions, which included paper-based or in-person interventions or no intervention. We only reported the RCT results in our 'Summary of findings' table. We found a range of effects on health behaviours, such as breastfeeding, condom use, diet quality, medication adherence, medical screening and testing, physical activity, tobacco use, and vaccination. For example, these interventions may increase physical activity and medical screening tests but there was little to no effect for other health behaviours, such as improved diet or reduced tobacco use (20,139 participants in 54 RCTs). For body function outcomes, interactive social media interventions may result in small but important positive effects, such as a small but important positive effect on weight loss and a small but important reduction in resting heart rate (4521 participants in 30 RCTs). Interactive social media may improve overall well-being (standardised mean difference (SMD) 0.46, 95% confidence interval (CI) 0.14 to 0.79, moderate effect, low-certainty evidence) demonstrated by an increase of 3.77 points on a general well-being scale (from 1.15 to 6.48 points higher) where scores range from 14 to 70 (3792 participants in 16 studies). We found no difference in effect on psychological outcomes (depression and distress) representing a difference of 0.1 points on a standard scale in which scores range from 0 to 63 points (SMD -0.01, 95% CI -0.14 to 0.12, low-certainty evidence, 2070 participants in 12 RCTs). We also compared studies assessing interactive social media interventions with those with an active but less interactive social media control (11 studies). Four RCTs (1523 participants) that reported on physical activity found an improvement demonstrated by an increase of 28 minutes of moderate-to-vigorous physical activity per week (from 10 to 47 minutes more, SMD 0.35, 95% CI 0.12 to 0.59, small effect, very low-certainty evidence). Two studies found little to no difference in well-being for those in the intervention and control groups (SMD 0.02, 95% CI -0.08 to 0.13, small effect, low-certainty evidence), demonstrated by a mean change of 0.4 points on a scale with a range of 0 to 100. Adverse events related to the social media component of the interventions, such as privacy issues, were not reported in any of our included studies. We were unable to conduct planned subgroup analyses related to health equity as only four studies reported relevant data. AUTHORS' CONCLUSIONS This review combined data for a variety of outcomes and found that social media interventions that aim to increase physical activity may be effective and social media interventions may improve well-being. While we assessed many other outcomes, there were too few studies to compare or, where there were studies, the evidence was uncertain. None of our included studies reported adverse effects related to the social media component of the intervention. Future studies should assess adverse events related to the interactive social media component and should report on population characteristics to increase our understanding of the potential effect of these interventions on reducing health inequities.
Collapse
Affiliation(s)
| | | | | | - Omar Dewidar
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Jordi Pardo Pardo
- Ottawa Hospital Research Institute, The Ottawa Hospital - General Campus, Ottawa, Canada
| | - Rosiane Simeon
- Bruyère Research Institute, University of Ottawa, Ottawa, Canada
| | - Marie DesMeules
- Social Determinants and Science Integration/ Direction des déterminants sociaux et de l'intégration scientifique, Public Health Agency of Canada/Agence de santé publique du Canada, Ottawa, Canada
| | - Diane Gagnon
- Department of Communication, University of Ottawa, Ottawa, Canada
| | | | - Alomgir Hossain
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, Ottawa, Canada
| | - Kevin Pottie
- Family Medicine, University of Ottawa, Ottawa, Canada
| | - Tamara Rader
- Canadian Agency for Drugs and Technologies in Health (CADTH), Ottawa, Canada
| | - Peter Tugwell
- Department of Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Justin Presseau
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Vivian Welch
- Methods Centre, Bruyère Research Institute, Ottawa, Canada
| |
Collapse
|
5
|
Meacham MC, Ramo DE, Prochaska JJ, Maier LJ, Delucchi KL, Kaur M, Satre DD. A Facebook intervention to address cigarette smoking and heavy episodic drinking: A pilot randomized controlled trial. J Subst Abuse Treat 2021; 122:108211. [PMID: 33509414 PMCID: PMC7901868 DOI: 10.1016/j.jsat.2020.108211] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 09/14/2020] [Accepted: 11/16/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND Co-occurrence of tobacco use and heavy episodic drinking (HED; 5+ drinks for men and 4+ drinks for women per occasion) is common among young adults; both warrant attention and intervention. In a two-group randomized pilot trial, we investigated whether a Facebook-based smoking cessation intervention addressing both alcohol and tobacco use would increase smoking abstinence and reduce HED compared to a similar intervention addressing only tobacco. METHODS Participants were 179 young adults (age 18-25; 49.7% male; 80.4% non-Hispanic white) recruited from Facebook and Instagram who reported smoking 4+ days/week and past-month HED. The Smoking Tobacco and Drinking (STAND) intervention (N = 84) and the Tobacco Status Project (TSP), a tobacco-only intervention (N = 95), both included daily Facebook posts for 90 days and weekly live counseling sessions in private "secret" groups. We verified self-reported 7-day smoking abstinence via remote salivary cotinine tests at 3, 6, and 12 months (with retention at 83%, 66%, and 84%, respectively). Participants self-reported alcohol use. RESULTS At baseline, the participants averaged 10.4 cigarettes per day (SD = 6.9) and 8.9 HED occasions in the past month (SD = 8.1), with 27.4% in a preparation stage of change for quitting smoking cigarettes. Participants reported significant improvements in cigarette smoking and alcohol use outcomes over time, with no significant differences by condition. At 12 months, intent-to-treat smoking abstinence rates were 3.5% in STAND vs. 0% in TSP (biochemically verified) and 29.4% in STAND vs. 25.5% in TSP (self-reported). Compared to TSP, participants rated the STAND intervention more favorably for supporting health and providing useful information. CONCLUSIONS Adding an alcohol treatment component to a tobacco cessation social media intervention was acceptable and engaging but did not result in significant differences by treatment condition in smoking or alcohol use outcomes. Participants in both conditions reported smoking and drinking less over time, suggesting covariation in behavioral changes.
Collapse
Affiliation(s)
- Meredith C Meacham
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States of America.
| | - Danielle E Ramo
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States of America; Hopelab, San Francisco, CA, United States of America
| | - Judith J Prochaska
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, CA, United States of America
| | - Larissa J Maier
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States of America; Early Postdoc Mobility Grantee, Swiss National Science Foundation, Bern, Switzerland
| | - Kevin L Delucchi
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States of America
| | - Manpreet Kaur
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States of America
| | - Derek D Satre
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States of America; Division of Research, Kaiser Permanente Northern California Region, 2000 Broadway, Oakland, CA, United States of America
| |
Collapse
|
6
|
Maier LJ, Ramo DE, Kaur M, Meacham MC, Satre DD. Factors associated with readiness to quit smoking among young adults enrolled in a Facebook-based tobacco and alcohol intervention study. Addict Behav 2020; 111:106524. [PMID: 32791434 PMCID: PMC8262102 DOI: 10.1016/j.addbeh.2020.106524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 06/15/2020] [Accepted: 06/23/2020] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Young adults who smoke cigarettes often report heavy episodic drinking (HED) and co-use of other psychoactive substances which may complicate efforts to quit cigarette smoking. The current study examined factors associated with readiness to quit cigarette smoking among young adults who smoke and engage in HED. METHODS One hundred seventy-nine young adults aged 18 to 25 who reported regular cigarette smoking and past month HED enrolled in the 90-day Facebook-based Smoking Tobacco and Drinking (STAND) intervention study. Analyses compared baseline differences in patterns of cigarette smoking and alcohol and cannabis use, thoughts about abstinence, use of nicotine replacement therapy (NRT), sociodemographic characteristics, and other health behaviors between participants who were ready to quit cigarette smoking in the next 30 days and those who were not. RESULTS Participants were 40.2% female, 49.7% male, 10.1% non-binary, and 80.4% Non-Hispanic White. They reported on average moderate nicotine dependence (FTCD), moderate risk for alcohol use disorder (AUDIT), and occasional or regular cannabis use. Readiness to quit cigarette smoking in the next 30 days (33.5%) was positively associated with age (p = .021), NRT use in the past 30 days (p = .037) and perceived importance to also reduce alcohol use (p = .033). CONCLUSIONS Findings indicate that readiness to quit cigarette smoking among young adults who drink is positively associated with importance to reduce alcohol use, but not with use patterns or levels of dependence. Interventions addressing polysubstance use may be better suited to help young adults reduce or quit cigarette smoking once they signal readiness for behavior change.
Collapse
Affiliation(s)
- Larissa J Maier
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, CA, United States; Early Postdoc. Mobility Grantee (P2ZHP1_174812), Swiss National Science Foundation, Bern, Switzerland.
| | - Danielle E Ramo
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, CA, United States.
| | - Manpreet Kaur
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, CA, United States.
| | - Meredith C Meacham
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, CA, United States.
| | - Derek D Satre
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, CA, United States; Kaiser Permanente Northern California, Division of Research, Oakland, CA, United States.
| |
Collapse
|
7
|
Brezing CA, Luo SX, Mariani JJ, Levin FR. Digital Clinical Trials for Substance Use Disorders in the Age of Covid-19. J Addict Med 2020; 14:e297-e302. [PMID: 32956164 PMCID: PMC7647443 DOI: 10.1097/adm.0000000000000733] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 08/05/2020] [Indexed: 11/25/2022]
Abstract
: As a result of the coronavirus 2019 (Covid-19) pandemic, clinical research for substance use disorders (SUDs) has been impeded due to widespread stay-at-home mandates limiting the operations of "non-essential" work. Although appropriate to proceed with an abundance of caution to prevent viral spread, there will be detrimental consequences for patients with SUDs if clinical trials research cannot adapt and continue uninterrupted. The field of digital health has strong evidence for its feasibility and effectiveness and offers tools that can facilitate the continuation of SUD clinical trials research remotely in accordance with Covid-19 precautions. Some digital tools have been used as components of SUD research in the past; however, no published clinical trial in SUDs to-date has been entirely virtual. This has important implications for disrupted clinical care, as providers seek guidelines for best digital practices. This paper provides a roadmap for integrating the fields of digital health and SUD clinical trials by proposing methods to complete recruitment, screening, informed consent, other study procedures, and internal lab operations digitally. The immediate future of SUD research depends on the ability to comply with social distancing. Investment in research of digital clinical trials for SUDs provides an opportunity to cultivate benefits for research and clinical care long-term as we can (1) define regulatory requirements for the implementation of digital systems, (2) develop consensus on system-wide standards and protocols in the appropriate use of technology, and (3) gain experience that can translate to the treatment of patients with SUDs through telehealth in the community.
Collapse
Affiliation(s)
- Christina A Brezing
- New York State Psychiatric Institute, Division of Substance Use Disorders, 1051 Riverside Drive, New York, NY(CB, SL, JM, FL); Department of Psychiatry, Columbia University Irving Medical Center, New York, NY (CB, SL, JM, FL)
| | | | | | | |
Collapse
|
8
|
The Relationship of E-Cigarette Use to Tobacco Use Outcomes Among Young Adults Who Smoke and Use Alcohol. J Addict Med 2020; 15:421-424. [PMID: 33229934 DOI: 10.1097/adm.0000000000000773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES E-cigarette use is increasing among young adults in the U.S. However, longitudinal research studies examining associations between e-cigarette use and combustible cigarette use among young adults are limited. This study assessed the relationship of e-cigarette use to smoking reduction and cessation among young adults. METHODS This is a secondary analysis of a randomized controlled social media-based smoking cessation trial comprising adults ages 18 to 25 who smoked cigarettes and engaged in heavy episodic drinking (N = 179). Over 12 months, participants reported past month e-cigarette use with nicotine or tetrahydrocannabinol, cigarette quantity in the past week, quit attempts, and cessation strategies including nicotine e-cigarettes. Longitudinal regression models estimated associations between e-cigarette use, smoking reduction, and 7-day abstinence. RESULTS Past-month nicotine e-cigarette use prevalence ranged from 53.1% at baseline to 50.3% at 12 months. Over 70% of participants who reported past month nicotine e-cigarette use also smoked cigarettes (ie, dual use). Neither past month nicotine nor tetrahydrocannabinol e-cigarette use was associated with smoking reduction or cessation. However, use of nicotine e-cigarettes as a cessation strategy among participants attempting to quit (N = 137) was positively associated with abstinence (adjusted odds ratio = 2.47, 95% CI = 1.20-5.09) and ≥50% reduction in cigarettes per week from baseline (aOR = 2.36,95% CI = 1.08-5.18), relative to other strategies. CONCLUSIONS Nicotine e-cigarettes were significantly associated with improved tobacco use outcomes when used as a cessation strategy, but not when used apart from trying to quit smoking. Dual use may not be an effective path to achieve smoking cessation.
Collapse
|
9
|
Ramo DE, Meacham MC, Kaur M, Corpuz ES, Prochaska JJ, Satre DD. Development of a social media-based intervention targeting tobacco use and heavy episodic drinking in young adults. Addict Sci Clin Pract 2019; 14:14. [PMID: 30940206 PMCID: PMC6444508 DOI: 10.1186/s13722-019-0141-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 03/13/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Tobacco use and heavy episodic drinking (HED) commonly co-occur in young adults. We developed and tested usability of the Smoking Tobacco and Drinking (STAND) intervention for young adults delivered on Facebook. METHODS To inform the intervention, focus groups were held with 25 young adults age 18 to 25 (12% female; Mean age = 20.4) who smoked cigarettes and reported at least one HED episode in the past month. Facebook intervention posts (N = 180) were tailored to readiness to quit smoking, and tested in two private Facebook behavioral change groups (Ready, Not Ready) with N = 29 young adults (10% female; Mean age = 20.8). Participants flagged posts in need of change, and we assessed engagement (comment frequency). RESULTS Focus groups revealed preference for changing one substance at a time and greater receptivity to quitting smoking than reducing drinking. Mean comments per post were 5.3 (SD = 1.1) in Ready groups and 11.7 (SD = 5.1) in Not Ready groups; 94/180 (52.2%) posts were flagged for change. The level of engagement and the flagging of posts for change did not differ by group or by whether the post targeted tobacco, alcohol, or both substances combined (all p > .10). Overall, STAND was rated as easy to understand, providing sound advice, worthy of recommendation, and helpful (all agreement 100% among Ready; 50-70% among Not Ready). CONCLUSIONS The current findings informed development of a social media-based intervention targeting tobacco and alcohol use in young adults. Although there was greater interest in making changes in smoking than drinking behavior, receptivity and acceptability of the Facebook post messages in the STAND intervention was high overall. The intervention is being further refined for evaluation in a larger trial. Trial registration Name of the registry Smoking Tobacco and Drinking Study (STAND); Trial registration number NCT03163303; Date of registration 5/23/17; URL of trial registry record https://clinicaltrials.gov/ct2/show/NCT03163303 .
Collapse
Affiliation(s)
- Danielle E. Ramo
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, 350 Parnassus Avenue, Box 0984, San Francisco, CA 94143 USA
- Hopelab, San Francisco, CA USA
| | - Meredith C. Meacham
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, 350 Parnassus Avenue, Box 0984, San Francisco, CA 94143 USA
| | - Manpreet Kaur
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, 350 Parnassus Avenue, Box 0984, San Francisco, CA 94143 USA
| | - Ella S. Corpuz
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, 350 Parnassus Avenue, Box 0984, San Francisco, CA 94143 USA
| | - Judith J. Prochaska
- Department of Medicine, Stanford Prevention Research Center, Stanford University, Stanford, CA USA
| | - Derek D. Satre
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, 350 Parnassus Avenue, Box 0984, San Francisco, CA 94143 USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA USA
| |
Collapse
|