van Dommelen-Gonzalez Evan, Deardorff Julianna, Herd Denise, Minnis Alexandra M
Women's Global Health Imperative, RTI International, San Francisco, CA, USA,
J Urban Health. 2015 Apr;92(2):322-37. doi: 10.1007/s11524-014-9922-3.
In marginalized urban neighborhoods across the USA, Latino youth are disproportionately represented among the growing number of youth gangs. Substance use among gang-involved youth poses both immediate and long-term health risks and can threaten educational engagement, future socioeconomic stability, and desistance. Conventional assessments of gang-affiliated youth and their peer network overlook the possibility that positive peer ties may exist and can foster health promoting behavior norms. Drawing on a positive deviance framework, in this study, we examine the relationship between positive peer network characteristics tied to post-secondary educational aspirations and frequent alcohol and marijuana use among Latino, gang-affiliated youth from a neighborhood in San Francisco. Using generalized estimating equations regression models across 72 peer network clusters (162 youth), we found that having close friends who plan to go to a 4-year college was associated with a lower odds of frequent marijuana and alcohol use (OR 0.27, p = 0.02; OR 0.29, p = 0.14, respectively) and that this association persisted when adjusting for risk characteristics (OR 0.19, p < 0.01; OR 0.25, p = 0.12). Public health can advance gang intervention efforts by identifying protective and risk factors associated with non-criminal health outcomes to inform participatory research approaches and asset-based interventions that contribute to building healthy communities.
在美国各地被边缘化的城市社区中,在不断增加的青少年帮派成员里,拉丁裔青少年所占比例过高。涉帮派青少年的物质使用行为会带来即时和长期的健康风险,还可能威胁到他们的学业参与度、未来的社会经济稳定性以及停止涉帮派行为。对与帮派有关联的青少年及其同伴网络的传统评估忽略了这样一种可能性,即积极的同伴关系可能存在,并且能够促进健康行为规范的形成。在本研究中,我们借鉴积极偏差框架,考察了旧金山一个社区中与高等教育志向相关的积极同伴网络特征,与拉丁裔涉帮派青少年频繁饮酒和吸食大麻行为之间的关系。通过对72个同伴网络集群(162名青少年)使用广义估计方程回归模型,我们发现,有计划上四年制大学的亲密朋友与频繁吸食大麻和饮酒的较低几率相关(大麻使用几率比为0.27,p = 0.02;饮酒几率比为0.29,p = 0.14),并且在对风险特征进行调整后,这种关联仍然存在(大麻使用几率比为0.19,p < 0.01;饮酒几率比为0.25,p = 0.12)。公共卫生领域可以通过识别与非犯罪性健康结果相关的保护因素和风险因素,推动帮派干预工作,为参与性研究方法和基于资产的干预措施提供信息,从而助力建设健康社区。