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本文引用的文献

1
Employment Trajectories: Exploring Gender Differences and Impacts of Drug Use.就业轨迹:探索性别差异及吸毒的影响
J Vocat Behav. 2011 Aug;79(1):277-289. doi: 10.1016/j.jvb.2010.12.001.
2
Associations between abstinence in adolescence and economic and educational outcomes seven years later among high-risk youth.青少年时期的戒除行为与高危青年七年后的经济和教育成果之间的关联。
Drug Alcohol Depend. 2011 Jan 15;113(2-3):118-24. doi: 10.1016/j.drugalcdep.2010.07.014. Epub 2010 Aug 24.
3
Gender differences in the correlates of adolescents' cannabis use.青少年大麻使用相关因素中的性别差异。
Subst Use Misuse. 2008;43(10):1438-63. doi: 10.1080/10826080802238140.
4
Cannabis use and later life outcomes.大麻使用与晚年生活结局。
Addiction. 2008 Jun;103(6):969-76; discussion 977-8. doi: 10.1111/j.1360-0443.2008.02221.x.
5
The life course perspective on drug use: a conceptual framework for understanding drug use trajectories.药物使用的生命历程视角:理解药物使用轨迹的概念框架。
Eval Rev. 2007 Dec;31(6):515-47. doi: 10.1177/0193841X07307316.
6
The longitudinal association between substance use and delinquency among high-risk youth.高危青少年中物质使用与犯罪之间的纵向关联。
Drug Alcohol Depend. 2008 Jan 11;93(1-2):85-92. doi: 10.1016/j.drugalcdep.2007.09.006. Epub 2007 Oct 31.
7
Growth trajectories of sexual risk behavior in adolescence and young adulthood.青春期和青年期性风险行为的发展轨迹。
Am J Public Health. 2007 Jun;97(6):1096-101. doi: 10.2105/AJPH.2005.074609. Epub 2007 Apr 26.
8
Marker or mediator? The effects of adolescent substance use on young adult educational attainment.标志物还是中介物?青少年物质使用对青年成人教育成就的影响。
Addiction. 2006 Dec;101(12):1730-40. doi: 10.1111/j.1360-0443.2006.01507.x.
9
Pairwise fitting of mixed models for the joint modeling of multivariate longitudinal profiles.用于多变量纵向概况联合建模的混合模型的成对拟合。
Biometrics. 2006 Jun;62(2):424-31. doi: 10.1111/j.1541-0420.2006.00507.x.
10
Employment, employment-related problems, and drug use at drug court entry.
Subst Use Misuse. 2004;39(13-14):2559-79. doi: 10.1081/ja-200034729.

就业和大麻使用的同时生命历程轨迹:探索纵向结果的相互依存性。

Concurrent life-course trajectories of employment and marijuana-use: exploring interdependence of longitudinal outcomes.

机构信息

Portland State University, Graduate School of Education, Portland, OR 97201, USA.

出版信息

J Subst Abuse Treat. 2013 Nov-Dec;45(5):426-32. doi: 10.1016/j.jsat.2013.05.011. Epub 2013 Jul 26.

DOI:10.1016/j.jsat.2013.05.011
PMID:23890771
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3773247/
Abstract

This study analyzes data on 7661 individuals who participated in the 1979 National Longitudinal Survey of Youth (NLSY79) to estimate trajectories of employment and marijuana-use over a 17-year period. Bivariate random intercept and slope modeling is applied to examine concurrently the cross-correlation between the two concurrent longitudinal trajectories from age 23 to 39. Parameter estimates indicate baseline level (at age 23) of employment to be negatively correlated with marijuana, suggesting marijuana-use is associated with lower workforce productivity at age 23. The longitudinal employment slope is positively correlated with employment intercept for both males and females, indicating that survey participants with higher levels of employment at age 23 are more likely to have a positive impact on employment trajectory over time. For males, however, the employment slope is also significantly correlated with marijuana intercept (r=-0.07), indicating marijuana-use in early adulthood may uniquely lower workforce productivity over age.

摘要

本研究分析了 7661 名参与 1979 年全国青年纵向调查(NLSY79)的个体的数据,以估算 17 年期间的就业和大麻使用轨迹。采用双变量随机截距和斜率模型,从 23 岁到 39 岁同时检查两个同时进行的纵向轨迹之间的交叉相关性。参数估计表明,就业的基线水平(23 岁时)与大麻呈负相关,表明大麻使用与 23 岁时的劳动力生产力降低有关。男性和女性的纵向就业斜率与就业截距呈正相关,表明 23 岁时就业水平较高的调查参与者更有可能随着时间的推移对就业轨迹产生积极影响。然而,对于男性,就业斜率也与大麻截距显著相关(r=-0.07),表明成年早期的大麻使用可能会独特地降低劳动力生产力随年龄增长的速度。