學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 Optimizing a community-friendly HIV risk reduction intervention for injection drug users in treatment: a structural equation modeling approach.
作者 李怡青
Copenhaver,MM;Lee, I-Ching
貢獻者 心理系
關鍵詞 Behavioral intervention; HIV risk reduction; Injection drug use; Structural equation modeling
日期 2006.11
上傳時間 22-Jul-2014 16:46:00 (UTC+8)
摘要 Research on behavioral HIV risk reduction interventions for injection drug users (IDUs) has focused on primary outcomes (e.g., reduced injection drug use, increased condom use) but has not fully examined the respective roles played by intervention components on these primary outcomes. In this paper, we present a structural equation modeling (SEM) approach in which we specify the causal pathways leading from theory-based intervention components to risk reduction outcomes among a sample of primarily IDUs (n = 226) participating in an inner-city community-based methadone maintenance program. Similar pathways were found leading to both drug- and sexual-related risk reduction outcomes. Findings suggest the importance of targeting participants` risk reduction motivation and behavioral skills versus employing more passive informational strategies. Findings also indicate that our intervention may be optimized by focusing more on participants` risk reduction motivation within the sexual-related content and placing equivalent emphasis on participants` risk reduction knowledge, motivation, and behavioral skills within the drug-related content. By quantifying the specific linkage between intervention components and risk reduction outcomes, our SEM findings offer empirical guidance for optimizing this intervention. This strategy may also serve as a useful theory- and data-driven means to inform the refinement of other behavioral interventions.
關聯 Journal of Urban Health,83(6),1132-1142
資料類型 article
dc.contributor 心理系en_US
dc.creator (作者) 李怡青zh_TW
dc.creator (作者) Copenhaver,MM;Lee, I-Chingen_US
dc.date (日期) 2006.11en_US
dc.date.accessioned 22-Jul-2014 16:46:00 (UTC+8)-
dc.date.available 22-Jul-2014 16:46:00 (UTC+8)-
dc.date.issued (上傳時間) 22-Jul-2014 16:46:00 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/67695-
dc.description.abstract (摘要) Research on behavioral HIV risk reduction interventions for injection drug users (IDUs) has focused on primary outcomes (e.g., reduced injection drug use, increased condom use) but has not fully examined the respective roles played by intervention components on these primary outcomes. In this paper, we present a structural equation modeling (SEM) approach in which we specify the causal pathways leading from theory-based intervention components to risk reduction outcomes among a sample of primarily IDUs (n = 226) participating in an inner-city community-based methadone maintenance program. Similar pathways were found leading to both drug- and sexual-related risk reduction outcomes. Findings suggest the importance of targeting participants` risk reduction motivation and behavioral skills versus employing more passive informational strategies. Findings also indicate that our intervention may be optimized by focusing more on participants` risk reduction motivation within the sexual-related content and placing equivalent emphasis on participants` risk reduction knowledge, motivation, and behavioral skills within the drug-related content. By quantifying the specific linkage between intervention components and risk reduction outcomes, our SEM findings offer empirical guidance for optimizing this intervention. This strategy may also serve as a useful theory- and data-driven means to inform the refinement of other behavioral interventions.en_US
dc.language.iso en_US-
dc.relation (關聯) Journal of Urban Health,83(6),1132-1142en_US
dc.subject (關鍵詞) Behavioral intervention; HIV risk reduction; Injection drug use; Structural equation modelingen_US
dc.title (題名) Optimizing a community-friendly HIV risk reduction intervention for injection drug users in treatment: a structural equation modeling approach.en_US
dc.type (資料類型) articleen