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.

个人层面的行为可能会受到围绕该行为的禁令性和描述性社交网络规范的影响。有必要了解个人社交网络中的社会规范的影响如何影响个人层面的性行为。我们的目的是对出生时被指定为男性的黑人性和性别少数群体 (SGM) 的社交网络中性行为的网络级规范进行类型化。调查数据是 2018 年至 2019 年间从 Black SGM 在美国伊利诺伊州芝加哥收集的。共有 371 名参与者提供了有关社会人口特征和性行为（即无套性行为、群体性行为、使用酒精/药物来增强性行为）的艾滋病毒易感性的个人信息，并完成了一份以自我为中心的网络清单，评估其社交网络成员的看法（改变）有关艾滋病毒易感性增加的性行为的禁令和描述性规范。我们使用潜在概况分析（LPA）来根据改变者批准参与者进行无套性行为、群体性行为和使用药物来增强性行为（即禁令性规范）和改变者参与度的比例来识别网络级规范在这些行为中（即描述性规范）。然后，我们使用二项式回归分析来检查网络层面的常态概况与个人层面的性艾滋病毒易感性之间的关联。LPA 的结果表明，我们的样本经历了五种不同的网络级规范的潜在特征：(1) 低 HIV 脆弱性网络规范，(2) 中等高 HIV 脆弱性网络规范，(3) 高 HIV 脆弱性网络规范，(4 ）无安全套的性主导网络规范，以及（5）在性主导网络规范期间批准吸毒。相对于较低的艾滋病毒易感性规范概况，无套肛交、群交和使用药物来增强性行为与较高的艾滋病毒易感性社会网络规范概况呈正相关且显着相关。为了减轻黑人 SGM 的艾滋病毒脆弱性，未来的艾滋病毒风险降低策略可以考虑通过交叉框架使用网络级干预方法，例如意见领袖、细分、归纳或改变。