Hansen William B, Hansen Jared L
Tanglewood Research.
Veterans Administration.
J Child Serv. 2016;11(3):244-260. doi: 10.1108/JCS-06-2015-0020.
The purpose of this paper is to present a strategy for estimating an individual's risk of alcohol, cigarette and cannabis use that relies on an assessment of an adolescent's age, gender and attitude.
The authors assembled surveys from 35,987 11 through 17 year-olds assembled from 36 databases were analysed to examine the relationship between attitude and behaviour.
Attitudes were strongly correlated with concurrent use of alcohol, drunkenness, smoking, and cannabis, with point biserial correlations of -0.555, -0.517, -0.552 and -0.476, respectively. Logistic regression provided a means for using age, gender and attitudes to estimate an individual's risk of engaging in substance use behaviour. Developmental changes in attitudes were estimated by analysing changes in scores associated with percentile rankings for each age and gender group. Projected year-to-year changes in attitude were used as a heuristic for estimating future risk.
Analyses relied on cross-sectional panel data. Analyses would benefit from longitudinal data in which age-related changes in attitudes could be more precisely modelled.
Information about estimated current and future risk may use useful for motivating the adoption and implementation of effective prevention approaches by parents and care providers.
The authors present a novel method for estimating an individual's risk of substance use knowing attitude, age and gender.
本文旨在提出一种策略,通过评估青少年的年龄、性别和态度来估计其饮酒、吸烟和使用大麻的风险。
作者汇总了来自36个数据库的35987名11至17岁青少年的调查数据,以分析态度与行为之间的关系。
态度与同时期饮酒、醉酒、吸烟和使用大麻行为密切相关,点二列相关系数分别为-0.555、-0.517、-0.552和-0.476。逻辑回归提供了一种利用年龄、性别和态度来估计个体从事物质使用行为风险的方法。通过分析每个年龄和性别组百分位排名相关分数的变化来估计态度的发展变化。将态度的逐年预计变化用作估计未来风险的启发式方法。
分析依赖于横断面面板数据。若有纵向数据,能更精确地模拟态度随年龄的变化,分析将更有益。
有关估计当前和未来风险的信息可能有助于激励家长和护理人员采用并实施有效的预防方法。
作者提出了一种新颖的方法,可根据态度、年龄和性别估计个体使用物质的风险。