Transitional Life Events and Trajectories of Cigarette and Alcohol Use During Emerging Adulthood: Latent Class Analysis and Growth Mixture Modeling
Transitional Life Events and Trajectories of Cigarette and Alcohol Use During Emerging Adulthood: Latent Class Analysis and Growth Mixture Modeling
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DOI：
10.15288/jsad.2013.74.727
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发表时间：
2013-09-01
影响因子：
3.4
通讯作者：
Chou, Chih-Ping
中科院分区：
文献类型：
--
作者：
Huh, Jimi;Huang, Zhaoqing;Chou, Chih-Ping
目的：成年初期(18-25岁)与药物使用增加有关。成年初期与物质使用有关的过渡性生活事件(TLE)通常是单独研究的，而不是作为一个星座来研究。这项研究的目的是(A)探索不同的亚群在成年初期经历不同的TLE，(B)确定成年期初生时吸烟和饮酒的不同轨迹，以及(C)检查TLE与香烟和酒精使用轨迹的关联。方法：采用5波纵向资料(平均年龄19.5~26.0岁)来自社区毒品预防项目(n=946，49.9%女性)。通过潜在类别分析确定了经历过不同TLE的不同亚组的新兴成年人。香烟和酒精的使用使用了潜在增长混合模型进行了检验。结果：三类模型最适合于识别TLE亚组(新家庭、大学参与者[NFCA]；未承诺关系、大学参与者[URCA]；冬眠者[HBN])。三轨迹模型最适合成年初期吸烟和饮酒的数据。TLE类别与吸烟(P<；.05)和饮酒组(P<；.001)显著相关；具体地说，相对于NFCA(P<；.05)，URCA和HBN组更有可能被归类为加速吸烟者。相对于URCA，NFCA和HBN组更有可能被归类为加速饮酒者(PS<；.01)。结论：为了描述长期吸烟和饮酒的“高危”新兴成人群体，应该考虑成年初期的一系列生活事件。为青少年量身定做的干预措施可能受益于将缺乏这些典型的“独立”生活事件作为潜在的物质使用问题的标志，并提供补充筛查方法来识别有类似问题的年轻人。
Objective: Emerging adulthood (ages 18-25 years) has been associated with elevated substance use. Transitional life events (TLEs) during emerging adulthood in relation to substance use are usually examined separately, rather than as a constellation. The purposes of this study were (a) to explore distinct subgroups experiencing various TLEs during emerging adulthood, (b) to identify heterogeneous trajectories of cigarette and alcohol use during emerging adulthood, and (c) to examine the association of TLEs with cigarette and alcohol use trajectories. Method: Five waves of longitudinal data (mean age range: 19.5-26.0 years) were used from a community-based drug prevention program (n = 946, 49.9% female). Distinct subgroups of emerging adults who experienced various TLEs were identified using latent class analysis. Cigarette and alcohol use were examined using a latent growth mixture model. Results: A three-class model fit the data best in identifying TLE subgroups (new family, college attenders [NFCA]; uncommitted relationships, college attenders [URCA]; hibernators [HBN]). Three-trajectory models fit the data best for cigarette and alcohol use during emerging adulthood. The TLE categories were significantly associated with the cigarette (p < .05) and alcohol use groups (p < .001); specifically, the URCA and HBN groups were significantly more likely to be classified as accelerating cigarette users, relative to NFCA (ps < .05). The NFCA and HBN groups were significantly more likely to be classified as accelerating alcohol users, relative to URCA (ps < .01). Conclusions: To characterize an "at-risk" emerging adult group for cigarette and alcohol use over time, a range of life events during emerging adulthood should be considered. Interventions tailored to young adulthood may benefit from targeting the absence of these life events typifying "independence" as a potential marker for underlying substance use problems and provide supplemental screening methods to identify young adults with similar issues.