Autonomy-supportive sexual health communication and sexual health behaviors for black and Latino MSM in the House Ball Community: Protocol for a social network analysis and exploratory structural equation model.

Autonomy-supportive sexual health communication and sexual health behaviors for black and Latino MSM in the House Ball Community: Protocol for a social network analysis and exploratory structural equation model.
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DOI:
10.1371/journal.pone.0276350
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发表时间:
2023
期刊:
影响因子:
3.7
通讯作者:
--
中科院分区:
综合性期刊3区
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--
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与男性发生性关系的黑人和拉丁裔男性(MSM)在美国任何群体中感染艾滋病毒的风险最高。在众议院舞会社区(HBC)的黑人和拉丁裔男男性接触者中,患病率可能更高,这是一个主要由黑人和拉丁裔性和性别少数群体组成的未充分研究的社区,非概率样本的艾滋病毒患病率从4%到38%不等。本研究将运用基本心理需要理论,探讨性健康沟通对HBC-MSM性健康行为的影响。拟议的研究将通过描述嵌入社会和性网络中的SHC的特征来推进这一目标,并确定SHC对黑人和拉丁美洲HBC-MSM样本中性健康行为的影响。本研究采用横断面定量调查设计,通过互联网收集数据,检验自主性支持性沟通对性健康行为影响的理论驱动模型。将采用应答者驱动抽样(RDS)和互联网驱动抽样(ID)招募200名HBC-MSM样本。我们将利用自我中心的网络分析来描述(a)特定的HBC-MSM的社会和/或性网络成员谁提供SHC;(B)网络成员提供的自主性支持的程度,和(c)HBC-MSM样本的性健康行为特征。将进行结构方程模型(SEM),以测试自主性支持性健康沟通(自变量)和性健康行为(结果)之间的关联,需求满意度和内在动机作为干预中介。这些知识对于扩大对SHC如何影响HBC-MSM性健康行为的理解是必要的。这项研究提供了一个重要的角度对性健康行为和动机的参与者在HBC的运作。从这项研究中产生的知识将有助于改善目前的艾滋病毒预防干预措施,以及为未来制定针对HBC-MSM的干预措施提供信息。
Black and Latino men who have sex with men (MSM) have the highest risk of HIV of any group in the U.S. Prevalence could be even higher among Black and Latino MSM belonging to the House Ball Community (HBC), an understudied community comprised primarily of Black and Latino sexual and gender minorities, with HIV prevalence from non-probability samples ranging from 4% to 38%. Basic Psychological Needs Theory will be utilized to understand how sexual health communication (SHC) influences sexual health behaviors of HBC-MSM. The proposed study will advance this goal by describing characteristics of SHC embedded within social and sexual networks, and identifying the effects of SHC on sexual health behaviors among a sample of Black and Latino HBC-MSM. This study entails cross-sectional quantitative survey design with internet-based data collection to test a theory-driven model of the effects of autonomy supportive communication on sexual health behaviors. Respondent-driven sampling (RDS) and internet driven sampling (ID) will be used to recruit a sample of 200 HBC-MSM. We will utilize egocentric network analysis to describe (a) the HBC-specific social and/or sexual network members who provide SHC; (b) the degree of autonomy support provided by network members, and (c) the sexual health behaviors characterizing the sample of HBC-MSM. Structural equation modeling (SEM) will be performed to test associations between autonomy supportive sexual health communication (independent variable) and sexual health behaviors (outcome), with needs satisfaction and intrinsic motivation as intervening mediators. Such knowledge is necessary to expand understanding of how SHC impacts sexual health behaviors for HBC-MSM. The study provides an critical perspective on sexual health behaviors and motivations as participants operate in HBC. Knowledge generated from this study will help improve current HIV prevention interventions, as well as inform the development of future interventions, tailored to HBC-MSM.
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