Latent Risk Subtypes Based on Injection and Sexual Behavior Among People Who Inject Drugs in Rural Puerto Rico

被引:2
|
作者
Hautala, Dane [1 ]
Abadie, Roberto [1 ]
Thrash, Courtney [1 ]
Reyes, Juan Carlos [2 ]
Dombrowski, Kirk [1 ]
机构
[1] Univ Nebraska Lincoln, Dept Sociol, 309 Benton Hall, Lincoln, NE 68588 USA
[2] Univ Puerto Rico, Dept Biostat & Epidemiol, Med Sci Campus, San Juan, PR 00936 USA
来源
JOURNAL OF RURAL HEALTH | 2018年 / 34卷 / 03期
基金
美国国家卫生研究院;
关键词
hepatitis C; Hispanic; HIV; rural; substance use; NEW-YORK; HUMAN-IMMUNODEFICIENCY; HIV PREVENTION; EAST HARLEM; USERS; YOUNG; NUMBER; HOMELESSNESS; POPULATION; HISPANICS;
D O I
10.1111/jrh.12262
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BackgroundPeople who inject drugs (PWID) in Puerto Rico engage in high levels of injection and sexual risk behavior, and they are at high risk for HIV and hepatitis C (HCV) infection, relative to their US counterparts. Less is known, however, about the clustering of risk behavior conducive to HIV and HCV infection among rural Puerto Rican communities. ObjectivesThe purpose of this study was to examine concurrent injection and sexual risk subtypes among a rural sample of PWID in Puerto Rico. MethodsData were drawn from a respondent-driven sample collected in 2015 of 315 PWID in 4 rural communities approximately 30-40 miles from San Juan. Latent class analysis (LCA) was used to examine risk subtypes using 3 injection and 3 sexual risk indicators. In addition, demographic and other PWID characteristics were examined as possible predictors of latent class membership. ResultsFour LCA subtypes were identified: low risk (36%), high injection/low sexual risk (22%), low injection/high sexual risk (20%), and high risk (22%). Younger age and past year homelessness predicted high risk latent class membership, relative to the other classes. In addition, daily speedball use predicted membership in the high injection/low sexual risk class, relative to the low risk and low injection/high sexual risk classes. Conclusion/ImportanceThe findings suggest ways in which PWID risk clusters can be identified for targeted interventions.
引用
收藏
页码:236 / 245
页数:10
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