Impact of social networks and norms on e-cigarette use among adolescents in Southern California: a prospective cohort study.
Impact of social networks and norms on e-cigarette use among adolescents in Southern California: a prospective cohort study.
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社交网络和规范对南加州青少年电子烟使用的影响：一项前瞻性队列研究。
DOI：
10.1136/bmjph-2023-000163
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Valente,ThomasW
中科院分区：
文献类型：
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作者：
Piombo,SarahElizabeth;Barrington-Trimis,Jessica;Valente,ThomasW
目的运用社会网络分析方法，对青少年网络中电子烟使用的社会影响机制进行评估。方法收集南加州10所高中(N=1599)2021年春季(W1)、2021年秋季(W2)和2022年春季(W3)的健康行为和友谊网络数据。两个混合效应Logistic回归模型(仅限非尿布的子样本和全样本)被用来评估W1和W2电子烟使用规范、同伴电子烟暴露和以前使用电子烟(全样本)与过去6个月在W3的电子烟使用之间的关系，调整了人口统计协变量和学校聚集性。在没有终生使用电子烟的学生中，在W2接触更多的朋友电子烟(调整后的OR(AOR)=12.2，95%CI为4.04~36.5)和在W2时更多的支持电子烟规范(AOR=2.63，95%CI 1.24~5.55)与在W3开始使用电子烟的几率增加显著正相关。结论即使在网络蒸发流行率较低的情况下，同伴网络暴露和支持电子烟规范也是开始使用电子烟的显著预测因素。
ObjectiveUsing social network analysis, we assessed the mechanisms of social influence that promote e-cigarette use in adolescent networks.MethodsData on health behaviours and friendship networks from a cohort of 10 high schools in Southern California (N=1599) were collected in grade 9 Spring 2021 (W1), grade 10 Fall 2021 (W2) and Spring 2022 (W3). Two mixed effects logistic regression models were estimated (full sample and subsample of non-vapers only) to evaluate the associations of W1 and W2 pro-vaping norms, peer e-cigarette use exposure and prior e-cigarette use (full sample) on past 6-month vaping at W3, adjusting for demographic covariates and school clustering.ResultsPrevious vaping was the strongest predictor of past 6-month vaping at W3 among the full sample. Greater exposure to friend e-cigarette use at W2 (adjusted OR (AOR)=12.2, 95% CI 4.04 to 36.5) and greater pro-vaping norms at W2 (AOR=2.63, 95% CI 1.24 to 5.55) were significantly and positively associated with increased odds of initiating e-cigarette use at W3 among students with no lifetime e-cigarette use.ConclusionPeer network exposure and pro-vaping norms are significant predictors of vaping initiation even when network vaping prevalence is low.