Katelyn F. Romm, Daisy Le, L. Abroms, Carla J. Berg
{"title":"使用电子烟的美国年轻人对电子烟戒烟信息和策略的反应","authors":"Katelyn F. Romm, Daisy Le, L. Abroms, Carla J. Berg","doi":"10.18332/tpc/186271","DOIUrl":null,"url":null,"abstract":"INTRODUCTION Despite high rates of young adult e-cigarette use, research informing cessation interventions for this population, including those unready to quit, is limited. METHODS We analyzed 2022 cross-sectional survey data (from a larger longitudinal study) among 172 US young adult, past-month e-cigarette users (mean age=26.95 years; 57.6% female; 73.3% White). We examined: 1) perceived challenges to quitting e-cigarettes; 2) perceived impact of intervention messages targeting motivation and confidence, and their associations with quitting importance and confidence; and 3) poly-use with cigarettes and/or cannabis in relation to poly-product cessation preferences. RESULTS In all, 43.6% reported past-year e-cigarette quit attempts, and 55.3% reported quit readiness; 30.2% reported past-month poly-use with cigarettes, and 54.1% with cannabis. Frequently endorsed challenges to quitting/cutting down were related to stress/anxiety (41.9%), delaying cessation attempts (35.5%), and boredom (25.6%). Messages targeting motivation perceived as most impactful (scale: 1 = ‘no impact at all’ to 7 = ‘a lot of impact’) were related to saving money (mean score=4.78), improving health (mean score=4.15), and avoiding toxic chemicals (mean score=4.04), messages targeting confidence perceived as most impactful were related to patience (mean score=4.47), staying busy (mean score=4.27), and soliciting support (mean score=3.84). Perceiving greater impact of messages targeting motivation was associated with greater quitting importance (B=1.16; 95% CI: 0.71–1.60, p<0.001). Neither perceived impact of messages targeting motivation nor confidence were related to quitting confidence. E-cigarette–cannabis poly-users preferred to quit cigarettes first, e-cigarette–cigarette users preferred to quit cannabis first, and poly-users of all three products preferred to quit e-cigarettes first, followed by cigarettes, then cannabis. CONCLUSIONS E-cigarette cessation interventions must use relevant messages (e.g. target financial and health benefits of quitting) and consider poly-users’ preferences for quitting.","PeriodicalId":44546,"journal":{"name":"Tobacco Prevention & Cessation","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reactions to vaping cessation messaging and strategies among US young adults who use e-cigarettes\",\"authors\":\"Katelyn F. Romm, Daisy Le, L. Abroms, Carla J. Berg\",\"doi\":\"10.18332/tpc/186271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"INTRODUCTION Despite high rates of young adult e-cigarette use, research informing cessation interventions for this population, including those unready to quit, is limited. METHODS We analyzed 2022 cross-sectional survey data (from a larger longitudinal study) among 172 US young adult, past-month e-cigarette users (mean age=26.95 years; 57.6% female; 73.3% White). We examined: 1) perceived challenges to quitting e-cigarettes; 2) perceived impact of intervention messages targeting motivation and confidence, and their associations with quitting importance and confidence; and 3) poly-use with cigarettes and/or cannabis in relation to poly-product cessation preferences. RESULTS In all, 43.6% reported past-year e-cigarette quit attempts, and 55.3% reported quit readiness; 30.2% reported past-month poly-use with cigarettes, and 54.1% with cannabis. Frequently endorsed challenges to quitting/cutting down were related to stress/anxiety (41.9%), delaying cessation attempts (35.5%), and boredom (25.6%). Messages targeting motivation perceived as most impactful (scale: 1 = ‘no impact at all’ to 7 = ‘a lot of impact’) were related to saving money (mean score=4.78), improving health (mean score=4.15), and avoiding toxic chemicals (mean score=4.04), messages targeting confidence perceived as most impactful were related to patience (mean score=4.47), staying busy (mean score=4.27), and soliciting support (mean score=3.84). Perceiving greater impact of messages targeting motivation was associated with greater quitting importance (B=1.16; 95% CI: 0.71–1.60, p<0.001). Neither perceived impact of messages targeting motivation nor confidence were related to quitting confidence. E-cigarette–cannabis poly-users preferred to quit cigarettes first, e-cigarette–cigarette users preferred to quit cannabis first, and poly-users of all three products preferred to quit e-cigarettes first, followed by cigarettes, then cannabis. CONCLUSIONS E-cigarette cessation interventions must use relevant messages (e.g. target financial and health benefits of quitting) and consider poly-users’ preferences for quitting.\",\"PeriodicalId\":44546,\"journal\":{\"name\":\"Tobacco Prevention & Cessation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tobacco Prevention & Cessation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18332/tpc/186271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"SUBSTANCE ABUSE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tobacco Prevention & Cessation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18332/tpc/186271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SUBSTANCE ABUSE","Score":null,"Total":0}
Reactions to vaping cessation messaging and strategies among US young adults who use e-cigarettes
INTRODUCTION Despite high rates of young adult e-cigarette use, research informing cessation interventions for this population, including those unready to quit, is limited. METHODS We analyzed 2022 cross-sectional survey data (from a larger longitudinal study) among 172 US young adult, past-month e-cigarette users (mean age=26.95 years; 57.6% female; 73.3% White). We examined: 1) perceived challenges to quitting e-cigarettes; 2) perceived impact of intervention messages targeting motivation and confidence, and their associations with quitting importance and confidence; and 3) poly-use with cigarettes and/or cannabis in relation to poly-product cessation preferences. RESULTS In all, 43.6% reported past-year e-cigarette quit attempts, and 55.3% reported quit readiness; 30.2% reported past-month poly-use with cigarettes, and 54.1% with cannabis. Frequently endorsed challenges to quitting/cutting down were related to stress/anxiety (41.9%), delaying cessation attempts (35.5%), and boredom (25.6%). Messages targeting motivation perceived as most impactful (scale: 1 = ‘no impact at all’ to 7 = ‘a lot of impact’) were related to saving money (mean score=4.78), improving health (mean score=4.15), and avoiding toxic chemicals (mean score=4.04), messages targeting confidence perceived as most impactful were related to patience (mean score=4.47), staying busy (mean score=4.27), and soliciting support (mean score=3.84). Perceiving greater impact of messages targeting motivation was associated with greater quitting importance (B=1.16; 95% CI: 0.71–1.60, p<0.001). Neither perceived impact of messages targeting motivation nor confidence were related to quitting confidence. E-cigarette–cannabis poly-users preferred to quit cigarettes first, e-cigarette–cigarette users preferred to quit cannabis first, and poly-users of all three products preferred to quit e-cigarettes first, followed by cigarettes, then cannabis. CONCLUSIONS E-cigarette cessation interventions must use relevant messages (e.g. target financial and health benefits of quitting) and consider poly-users’ preferences for quitting.