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青少年吸烟轨迹的系统评价。

A systematic review of cigarette smoking trajectories in adolescents.

作者信息

Ahun Marilyn N, Lauzon Béatrice, Sylvestre Marie-Pierre, Bergeron-Caron Cassi, Eltonsy Sherif, O'Loughlin Jennifer

机构信息

Université de Montréal Hospital Research Centre Tour Saint-Antoine, 850 rue Saint-Denis, Montréal, Québec, Canada H2X0A9; Université de Montréal School of Public Health, 7101 Avenue du Parc, Montréal, Québec, Canada H3N1X9.

Université de Montréal Hospital Research Centre Tour Saint-Antoine, 850 rue Saint-Denis, Montréal, Québec, Canada H2X0A9; Université de Montréal School of Public Health, 7101 Avenue du Parc, Montréal, Québec, Canada H3N1X9.

出版信息

Int J Drug Policy. 2020 Sep;83:102838. doi: 10.1016/j.drugpo.2020.102838. Epub 2020 Jul 16.

DOI:10.1016/j.drugpo.2020.102838
PMID:32683174
Abstract

Trajectory analyses differentiate subgroups of smokers based on early patterns of cigarette use, but no study has summarized this literature. We systematically reviewed the literature on adolescent cigarette smoking trajectories to document the number and shapes of trajectories identified, assess if certain study characteristics influence the number or shapes of trajectories identified, summarize factors associated with and outcomes of trajectory group membership, and assess whether the results of trajectory analyses help identify windows of opportunity for intervention. We searched PubMed and EMBASE (1/1/1980 to 1/11/2018) and identified 1695 articles. Forty-three articles with data from 37 unique datasets were retained. Each trajectory was categorized into one of three groups (i.e., low-stable, increasing, other). Number of trajectories ranged from 2 to 6 (mode = 4); 44-76% of participants were low-stable cigarette consumers, 11-21% increased consumption, and 3-11% were categorized as "other." Number of data points, smoking indicator used, and time axis influenced the number of trajectories identified. Only two articles depicted the natural course of smoking since onset. Factors associated with trajectory membership included age, sex/gender, race/ethnicity, parental education, behavior problems, depression, academic performance, baseline cigarette use, parental and friends smoking, alcohol use, and cannabis use. Outcomes included illicit drug and alcohol use. Beyond parsimoniously describing cigarette smoking patterns, it is not clear whether trajectory analyses offer increased insight into the natural course, determinants or outcomes of cigarette smoking in ways that inform the development of intervention.

摘要

轨迹分析根据早期吸烟模式对吸烟者亚组进行区分,但尚无研究对该文献进行总结。我们系统回顾了关于青少年吸烟轨迹的文献,以记录所识别轨迹的数量和形状,评估某些研究特征是否会影响所识别轨迹的数量或形状,总结与轨迹组成员身份相关的因素和结果,并评估轨迹分析结果是否有助于确定干预的机会窗口。我们检索了PubMed和EMBASE(1980年1月1日至2018年11月1日),共识别出1695篇文章。保留了43篇包含来自37个独特数据集数据的文章。每条轨迹被分为三组之一(即低稳定型、上升型、其他)。轨迹数量从2到6不等(众数 = 4);44 - 76%的参与者为低稳定型香烟消费者,11 - 21%的参与者吸烟量增加,3 - 11%被归类为“其他”。数据点数量、所使用的吸烟指标和时间轴会影响所识别轨迹的数量。只有两篇文章描述了自开始吸烟以来的自然过程。与轨迹组成员身份相关的因素包括年龄、性别、种族/民族、父母教育程度、行为问题、抑郁、学业成绩、基线吸烟情况、父母和朋友吸烟、饮酒和使用大麻。结果包括使用非法药物和饮酒。除了简洁地描述吸烟模式外,目前尚不清楚轨迹分析是否能以有助于干预发展的方式,对吸烟的自然过程、决定因素或结果提供更多见解。

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