A Comparison of Cut Points for Measuring Risk Factors for Adolescent Substance Use and Antisocial Behaviors in the U.S. and Colombia.

A Comparison of Cut Points for Measuring Risk Factors for Adolescent Substance Use and Antisocial Behaviors in the U.S. and Colombia.
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DOI:
10.3390/ijerph18020470
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发表时间:
2021-01-08
影响因子:
--
通讯作者:
Pérez-Gómez A
Pérez-Gómez A
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Brown EC;Montero-Zamora P;Cardozo-Macías F;Reyes-Rodríguez MF;Briney JS;Mejía-Trujillo J;Pérez-Gómez A

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随着青少年物质使用的突出风险因素的识别和针对性在全球范围内得到更广泛的应用,一个重要的问题出现了,即美国是否在这些风险因素的分布中确定“高”风险的基于临界点也可以有效地用于其他国家。本研究使用不同的经验得出的切割点,在18个测量的风险因素的分布,检查青年的比例在“高”风险。数据来自哥伦比亚和美国的大规模青少年样本。结果表明,六年级、八年级和十年级学生的高危因素比例分别为38.9%、61.1%和66.6%,差异有显著性(P < 0.05)。以哥伦比亚为基础的确定哥伦比亚青年“高”风险比例的分界点比美国更可取。在几乎所有显示出显著差异的比较中基于临界点。我们的研究结果表明,观察到的差异与风险因素的类型有关(例如,药物特异性对非药物特异性)。本研究的结果表明,需要收集有关青少年药物使用风险因素的大规模国家数据,并根据这些措施的分布制定特定国家的临界点,以避免错误识别处于“高”风险的青少年。
As the identification and targeting of salient risk factors for adolescent substance use become more widely used globally, an essential question arises as to whether U.S.-based cut points in the distributions of these risk factors that identify “high” risk can be used validly in other countries as well. This study examined proportions of youth at “high” risk using different empirically derived cut points in the distributions of 18 measured risk factors. Data were obtained from large-scale samples of adolescents in Colombia and the United States. Results indicated that significant (p < 0.05) differences in the proportions of “high” risk youth were found in 38.9% of risk factors for 6th graders, 61.1% for 8th graders, and 66.6% for 10th graders. Colombian-based cut points for determining the proportion of Colombian youth at “high” risk were preferable to U.S.-based cut points in almost all comparisons that exhibited a significant difference. Our findings suggest that observed differences were related to the type of risk factor (e.g., drug specific vs. non-drug specific). Findings from this study demonstrate the need for collecting large-scale national data on risk factors for adolescent substance use and developing country-specific cut points based on the distributions of these measures to avoid misidentification of youth at “high” risk.
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