Department of Epidemiology, ICAP at Columbia University, Columbia University, 211 W 117th St APT 3A, New York, NY, 10026, USA.
Department of Epidemiology, Columbia University, New York, NY, USA.
Arch Sex Behav. 2023 Aug;52(6):2355-2372. doi: 10.1007/s10508-023-02555-0. Epub 2023 Mar 6.
Individual-level behavior can be influenced by injunctive and descriptive social network norms surrounding that behavior. There is a need to understand how the influence of social norms within an individual's social networks may influence individual-level sexual behavior. We aimed to typologize the network-level norms of sexual behaviors within the social networks of Black sexual and gender minoritized groups (SGM) assigned male at birth. Survey data were collected in Chicago, Illinois, USA, between 2018 and 2019 from Black SGM. A total of 371 participants provided individual-level information about sociodemographic characteristics and HIV vulnerability from sex (i.e., condomless sex, group sex, use of alcohol/drugs to enhance sex) and completed an egocentric network inventory assessing perceptions of their social network members' (alters') injunctive and descriptive norms surrounding sexual behaviors with increased HIV vulnerability. We used Latent Profile Analysis (LPA) to identify network-level norms based on the proportion of alters' approval of the participant engaging in condomless sex, group sex, and use of drugs to enhance sex (i.e., injunctive norms) and alters' engagement in these behaviors (i.e., descriptive norms). We then used binomial regression analyses to examine associations between network-level norm profiles and individual-level HIV vulnerability from sex. The results of our LPA indicated that our sample experienced five distinct latent profiles of network-level norms: (1) low HIV vulnerability network norm, (2) moderately high HIV vulnerability network norm, (3) high HIV vulnerability network norm, (4) condomless sex dominant network norm, and (5) approval of drug use during sex dominant network norm. Condomless anal sex, group sex, and using drugs to enhance sex were positively and significantly associated with higher HIV vulnerability social network norm profiles, relative to low HIV vulnerability norm profiles. To mitigate Black SGM's HIV vulnerability, future HIV risk reduction strategies can consider using network-level intervention approaches such as opinion leaders, segmentation, induction, or alteration, through an intersectionality framework.
个体行为可能受到围绕该行为的规范和描述性社会网络规范的影响。需要了解个体社交网络中的社会规范如何影响个体性行为。我们旨在对出生时被分配为男性的黑人性少数群体(SGM)的社交网络中与性行为相关的网络规范进行分类。调查数据于 2018 年至 2019 年期间在美国伊利诺伊州芝加哥市的黑人 SGM 中收集。共有 371 名参与者提供了关于社会人口特征和 HIV 脆弱性的个体信息,包括性行为(即无保护性行为、群交、使用酒精/毒品来增强性行为),并完成了一项以自我为中心的网络清单,评估他们的社交网络成员(改变者)对增加 HIV 脆弱性的性行为的规范和描述性规范的看法。我们使用潜在剖面分析(LPA)根据改变者对参与者进行无保护性行为、群交和使用毒品来增强性行为的认可比例(即规范)和改变者从事这些行为的比例(即描述性规范)来确定网络规范。然后,我们使用二项式回归分析来检验网络规范特征与个体性行为的 HIV 脆弱性之间的关联。LPA 的结果表明,我们的样本经历了五种不同的网络规范潜在分布:(1)低 HIV 脆弱性网络规范,(2)中度高 HIV 脆弱性网络规范,(3)高 HIV 脆弱性网络规范,(4)无保护肛交主导网络规范,(5)批准性行为中使用毒品的主导网络规范。无保护的肛交、群交和使用毒品来增强性行为与更高的 HIV 脆弱性社会网络规范特征呈正相关且具有统计学意义,与低 HIV 脆弱性规范特征相比。为了减轻黑人 SGM 的 HIV 脆弱性,未来的 HIV 风险降低策略可以考虑在交叉性框架下使用网络层面的干预方法,如意见领袖、分割、诱导或改变。