Nikhil Ahuja, Satish Kedia, Kenneth D Ward, Yu Jiang, Patrick J Dillon
{"title":"青少年通过电子烟戒烟变化阶段的预测因素:烟草与健康人口评估研究的发现》。","authors":"Nikhil Ahuja, Satish Kedia, Kenneth D Ward, Yu Jiang, Patrick J Dillon","doi":"10.1177/08901171231222077","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To identify predictive factors associated with US adolescents' transition through the stages of change for potentially quitting e-cigarettes using the Trans-theoretical model of behavior change.</p><p><strong>Design: </strong>Prospective cohort study.</p><p><strong>Setting: </strong>United States.</p><p><strong>Subjects: </strong>We utilized data from adolescents (12-17 years) in Wave 3 of the Population Assessment of Tobacco and Health study who used e-cigarettes exclusively over the past 30 days (n = 177) and were followed up with in Wave 4.</p><p><strong>Measures: </strong>Outcome variables were 3 transition categories: those who remained stagnant, those who progressed, and those who regressed in their stage of quitting e-cigarettes. Predictor variables were socio-demographics, e-cigarette harm perception, e-cigarette use at home or by important people, social norms, e-cigarette and anti-tobacco advertisements, and e-cigarette health warnings.</p><p><strong>Analysis: </strong>Weighted-adjusted multinomial regression analysis was performed to determine the association between predictor and outcome variables.</p><p><strong>Results: </strong>From Wave 3 to Wave 4, 19% of adolescents remained stagnant; 73.3% progressed; and 7.7% regressed. Adolescents were less likely to progress in their stage of change if they perceived nicotine in e-cigarettes to be \"not at all/slightly harmful\" (AOR = .26 [95% CI: .25, .27], <i>P</i> < .001); reported important people's use of e-cigarettes (AOR = .18 [95% CI: .05, .65, <i>P</i> = .009); and \"rarely\" noticed e-cigarette health warnings (AOR = .28 [95% CI: .08, .98, <i>P</i> = .054).</p><p><strong>Conclusion: </strong>Intervention efforts must target specific predictive factors that may help adolescents quit e-cigarettes.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"1176-1187"},"PeriodicalIF":2.5000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictors of Adolescents' Transition Through the Stages of Change for Quitting E-Cigarettes: Findings From the Population Assessment of Tobacco and Health Study.\",\"authors\":\"Nikhil Ahuja, Satish Kedia, Kenneth D Ward, Yu Jiang, Patrick J Dillon\",\"doi\":\"10.1177/08901171231222077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To identify predictive factors associated with US adolescents' transition through the stages of change for potentially quitting e-cigarettes using the Trans-theoretical model of behavior change.</p><p><strong>Design: </strong>Prospective cohort study.</p><p><strong>Setting: </strong>United States.</p><p><strong>Subjects: </strong>We utilized data from adolescents (12-17 years) in Wave 3 of the Population Assessment of Tobacco and Health study who used e-cigarettes exclusively over the past 30 days (n = 177) and were followed up with in Wave 4.</p><p><strong>Measures: </strong>Outcome variables were 3 transition categories: those who remained stagnant, those who progressed, and those who regressed in their stage of quitting e-cigarettes. Predictor variables were socio-demographics, e-cigarette harm perception, e-cigarette use at home or by important people, social norms, e-cigarette and anti-tobacco advertisements, and e-cigarette health warnings.</p><p><strong>Analysis: </strong>Weighted-adjusted multinomial regression analysis was performed to determine the association between predictor and outcome variables.</p><p><strong>Results: </strong>From Wave 3 to Wave 4, 19% of adolescents remained stagnant; 73.3% progressed; and 7.7% regressed. 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Predictors of Adolescents' Transition Through the Stages of Change for Quitting E-Cigarettes: Findings From the Population Assessment of Tobacco and Health Study.
Purpose: To identify predictive factors associated with US adolescents' transition through the stages of change for potentially quitting e-cigarettes using the Trans-theoretical model of behavior change.
Design: Prospective cohort study.
Setting: United States.
Subjects: We utilized data from adolescents (12-17 years) in Wave 3 of the Population Assessment of Tobacco and Health study who used e-cigarettes exclusively over the past 30 days (n = 177) and were followed up with in Wave 4.
Measures: Outcome variables were 3 transition categories: those who remained stagnant, those who progressed, and those who regressed in their stage of quitting e-cigarettes. Predictor variables were socio-demographics, e-cigarette harm perception, e-cigarette use at home or by important people, social norms, e-cigarette and anti-tobacco advertisements, and e-cigarette health warnings.
Analysis: Weighted-adjusted multinomial regression analysis was performed to determine the association between predictor and outcome variables.
Results: From Wave 3 to Wave 4, 19% of adolescents remained stagnant; 73.3% progressed; and 7.7% regressed. Adolescents were less likely to progress in their stage of change if they perceived nicotine in e-cigarettes to be "not at all/slightly harmful" (AOR = .26 [95% CI: .25, .27], P < .001); reported important people's use of e-cigarettes (AOR = .18 [95% CI: .05, .65, P = .009); and "rarely" noticed e-cigarette health warnings (AOR = .28 [95% CI: .08, .98, P = .054).
Conclusion: Intervention efforts must target specific predictive factors that may help adolescents quit e-cigarettes.
期刊介绍:
The editorial goal of the American Journal of Health Promotion is to provide a forum for exchange among the many disciplines involved in health promotion and an interface between researchers and practitioners.