吳木欣. / "2008年7月". / "2008 nian 7 yue". / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 169-174). / Abstracts in Chinese and English. / Wu Muxin. / 目錄 / 引言 --- p.9 / Chapter 第一章 --- 文獻回顧 / Chapter 1 --- 何謂 MSM? --- p.11 / Chapter 2 --- 回顧亞洲男男性接觸者感染愛滋病之情況 --- p.11 / Chapter 3 --- 愛滋病感染率急升之原因 --- p.14 / Chapter 3.1 --- 香港同性戀者情況 --- p.17 / Chapter 4 --- 各地政府和NGOs之回應 --- p.19 / Chapter ■ --- 歧視與愛滋病的關連 --- p.20 / Chapter 4.1 --- 美國經驗´ؤ´ؤ活動取向之多元 --- p.21 / Chapter 4.2 --- 亞洲經驗一政府的不支持，非政府組織的無力 --- p.23 / Chapter 5 --- 回顧政府和香港非政府組織(NGOs)的角色 --- p.24 / Chapter 5.1 --- 香港政府採取的措施 --- p.24 / Chapter 5.1.1 --- ACA的建議政策角色 --- p.26 / Chapter 5.1.2 --- ATF的撥款機制角色 --- p.28 / Chapter 5.1.3 --- 非政府組織的工作 --- p.35 / Chapter 6 --- 是次研究的分析框架和概念 --- p.38 / Chapter 7 --- 研究重要之處 --- p.45 / Chapter 第二章 --- 研究方法 --- p.47 / Chapter 第三章 --- 誰是決策者 --- p.52 / Chapter 第四章 --- 主流組織的失敗一一反思一筆過撥款的弊端 --- p.73 / Chapter 第五章 --- 愛滋病非政府組織的無力 --- p.94 / Chapter 第六章 --- 草根組織的掙扎求存 --- p.103 / Chapter 第七章 --- 政府的割裂 --- p.115 / Chapter 第八章 --- 非政府組織的工作---愛滋病只是愛滋病嗎？ --- p.130 / Chapter 第九章 --- 總結 --- p.158 / 參考文獻 --- p.169 / 附件一 --- p.175 / 附件二 --- p.176

Conclusion. The significance of risk perception in predicting behavioral intention, hence actual future behaviors, is therefore evident. Conditional measures need to be used. HIV prevention can employ conditional risk perception approaches. Health behavioral theories can be strengthened by using such conditional measures on risk perceptions. The results add to this new and growing area of risk behavior research. / Introduction. Risk perception, a core element of key health behavioral theories and health interventions, is assumed to motivate people to avoid risk behaviors. Mixed findings however prevail in the literature due to methodological issues. Many of such studies are cross-sectional, using global risk perception measures that do not condition on type of risk behavior or partnership which may affect the level of risk. / Male injecting drug users (IDU) are driving the HIV epidemic in China and bridge HIV transmission to non-IDU female populations; they may be at risk of both unprotected sex and syringe sharing. HIV prevention targeting male IDU is greatly warranted and would benefit from understanding of the relationships between risk perceptions and behaviors, in the context of health behavioral theories such as the Health Action Process Approach (HAPA) model, which had not been applied to studies targeting IDU. / Objectives. This study refined the concepts and measures of HIV-related risk perception, conditioning on different types of behaviors and partners, and extended it to include others-directed risk perceptions. The relationship between such conditional risk perception measures and both prior risk behaviors and behavioral intention to avoid sex-related and drug-related risk behaviors in the future were investigated and were compared to those involving global unconditional risk perception measures. The nature of the aforementioned relationships, being motivational or reflective was investigated. A longitudinal component validated the predictive power of behavioral intention over actual future behaviors. / Results. Almost 90% of the respondents had had unprotected sex though <20% shared syringes with others in the last 6 months. Prior syringe sharing but not unprotected sex in the last 6 months was significantly associated with global unconditional risk perception measures. The picture is totally different when risk perception measures conditioned on type of sex partner and unprotected sex or syringe sharing were used instead of the global measures---higher levels of the conditional risk perception measures were significantly associated with higher levels of behavioral intention for consistent condom use and avoidance of syringe sharing, thus supporting the motivational hypothesis. Conditional others-directed risk perceptions (perceived risk of transmitting HIV to others via unprotected sex and syringe sharing) were also associated with the aforementioned behavioral intentions to avoid risk behaviors. A pilot longitudinal study showed that behavioral intentions strongly predict actual future behaviors. Other HAPA-based variables such as self-efficacy and outcome expectancies had predictive effects on behavioral intentions, independent from those of risk perceptions. / Subjects and methods. A total of 456 sexually active male IDU were recruited from Dazhou, Sichuan and Hengyang, Hunan, via snowball sampling. With informed consent, anonymous face-to-face interviews were conducted by trained and experienced staff of the local CDC in privacy settings. / Tsui, Hi Yi. / Adviser: Joseph Lau. / Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: . / Thesis (Ph.D.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (leaves 118-130). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese; appendix in Chinese.

Li, Huizhen. / "March 2008." / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 139-150). / Abstracts in English and Chinese. / Abstract --- p.ii / Acknowledgement --- p.vii / Abbreviations --- p.ix / Introduction --- p.1 / Chapter 1.1 --- HIV and AIDS --- p.4 / Chapter 1.1.1 --- HIV Transmission Routes --- p.5 / Chapter 1.1.2 --- HIV Related Risk Behaviors --- p.6 / Chapter 1.2 --- HIV Burden --- p.7 / Chapter 1.2.1 --- HIV Infection in China --- p.7 / Chapter 1.2.2 --- HIV Infection in Hong Kong --- p.9 / Chapter 1.2.3 --- Methadone Treatment in Hong Kong --- p.10 / Chapter 1.3 --- Objectives and Hypothesis --- p.14 / Chapter 1.4 --- Organization of This Thesis --- p.15 / Literature Review --- p.16 / Chapter 2.1 --- Search Methods --- p.18 / Chapter 2.1.1 --- Formulating Review Questions --- p.18 / Chapter 2.1.2 --- Search Strategy --- p.19 / Chapter 2.1.3 --- Inclusion and Exclusion Criteria --- p.21 / Chapter 2.2 --- Assessing the Quality of Studies --- p.22 / Chapter 2.3 --- Search Results --- p.23 / Chapter 2.3.1 --- Descriptive Summary --- p.25 / Chapter 2.3.2 --- Critique of Reviewed Articles --- p.33 / Chapter 2.4 --- Implication on Planning of Current Study --- p.37 / Chapter 2.4.1 --- Summary of Reviewed Articles --- p.37 / Methods for Exploring Predictors of HIV Risk --- p.40 / Chapter 3.1 --- Data Source --- p.42 / Chapter 3.1.1 --- Data Management in Methadone Clinics --- p.42 / Chapter 3.1.2 --- Source of Data --- p.43 / Chapter 3.2 --- Data Transformation --- p.45 / Chapter 3.3 --- Framework for assessing outcome --- p.48 / Chapter 3.3.1 --- Study population in different analyses --- p.48 / Chapter 3.3.2 --- Risk Score --- p.49 / Chapter 3.3.3 --- Independent Variables --- p.50 / Chapter 3.4 --- Generalized Linear Model --- p.52 / Chapter 3.5 --- Logistic Regression Model --- p.54 / Chapter 3.6 --- Multilevel Analyses --- p.55 / Chapter 3.6.1 --- Variables --- p.56 / Chapter 3.6.2 --- Definition of 'Neighborhood' --- p.56 / Chapter 3.6.3 --- Individual Variables --- p.60 / Chapter 3.6.4 --- Framework for Analyses --- p.60 / Chapter 3.7 --- Field Study --- p.63 / Results: Community Variation of HIV Risk --- p.65 / Chapter 4.1 --- Demographic Description --- p.67 / Chapter 4.1.1 --- Age distribution --- p.67 / Chapter 4.1.2 --- Gender Distribution --- p.68 / Chapter 4.1.3 --- Proportion of New Admission --- p.72 / Chapter 4.2 --- Drug Taking Profile --- p.74 / Chapter 4.2.1 --- Heroin Use --- p.74 / Chapter 4.2.2 --- Injecting Heroin Users --- p.77 / Chapter 4.3 --- HIV related risk behaviors --- p.81 / Chapter 4.3.1 --- Injection History --- p.81 / Chapter 4.3.2 --- Risky Injection Practices --- p.87 / Chapter 4.3.3 --- Sexual Behaviors --- p.93 / Chapter 4.4 --- Correlation between Demographics and Risk Score --- p.94 / Chapter 4.4.1 --- General Linear Regression Model Coefficient --- p.94 / Chapter 4.4.2 --- Risk Predictors in Logistic Regressions --- p.95 / Chapter 4.5 --- Neighborhood Effect --- p.100 / Chapter 4.6 --- On-site Observation --- p.103 / Chapter 4.6.1 --- Demographic Variations --- p.103 / Chapter 4.6.2 --- Drug Use Variations --- p.104 / Chapter 4.6.3 --- Social Background --- p.105 / Discussion --- p.111 / Chapter 5.1 --- Neighborhood Effect --- p.113 / Chapter 5.1.1 --- Variation across Communities --- p.113 / Chapter 5.1.2 --- Implication on Social Network of IDUs --- p.115 / Chapter 5.2 --- Decline of Admissions --- p.117 / Chapter 5.2.1 --- Decrease of New Admissions --- p.117 / Chapter 5.2.2 --- Decline of Readmission in 2003 --- p.119 / Chapter 5.3 --- Female IDU Population --- p.121 / Chapter 5.4 --- Limitations --- p.125 / Chapter 5.4.1 --- Importance of Individual Level Variables and Community Level Variables --- p.125 / Chapter 5.4.2 --- Reliability of Self-reported Data --- p.126 / Chapter 5.4.3 --- Duplicates of Readmissions --- p.126 / Chapter 5.4.4 --- Definition of Syringe Reuse --- p.127 / Chapter 5.4.5 --- Choice of Models --- p.129 / Conclusion and Future Directions --- p.131 / Chapter 6.1 --- Summary of Results --- p.133 / Chapter 6.2 --- Implication of results --- p.134 / Chapter 6.3 --- Future Directions --- p.136 / Bibliography --- p.139