Khanna Aditya S, Monnig Mollie A, Clark Samantha E, Monti Peter M
Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, Providence, RI, USA.
Center for Addiction and Disease Risk Exacerbation, Brown University, Providence, RI, USA.
Vaccine X. 2024 Oct 28;21:100577. doi: 10.1016/j.jvacx.2024.100577. eCollection 2024 Dec.
The link between individuals' vaccine attitudes and their social networks has been widely studied, but less is known about how these networks impact broader health behaviors like precautionary measures during the COVID-19 pandemic.
Egocentric social network data were collected from June 7-21, 2021, via an online survey by researchers based at the Brown University School of Public Health. The sample (n = 173) was recruited through Amazon's Mechanical Turk in Connecticut, Massachusetts, New Jersey, New York, and Rhode Island. Participants reported their COVID-19 precautionary behaviors and those of up to 5 of their closest social network contacts (SNCs, n = 851). The primary outcome was the mean of 13 CDC-recommended precautionary behaviors (PBS). Covariates included SNCs' COVID-19 testing, hospitalization, vaccination, disease experiences, social distancing adherence, and encouragement of participants' testing and vaccination. Associations between PBS and SNC attributes were assessed using chi-square tests, t-tests, and Generalized Estimating Equations (GEE).
Eighty percent of participants had received at least one vaccine dose. The PBS ranged from 0.38 to 3.00 (M = 2.3) and was positively associated with SNCs' adherence to social distancing guidelines (0.33, p < 0.001), encouragement of social distancing (0.33, p < 0.001), encouragement of vaccination (0.25, p = 0.001), mask-wearing behavior (0.20, p = 0.008), receiving the vaccine (0.20, p = 0.01), and encouragement of testing (0.17, p < 0.05).
The clustering of precautionary behaviors in social networks highlights the potential of leveraging these networks to promote public health interventions. The identification of clusters of unprotected communities at risk underscores the need to address disparities and integrate interpersonal factors into future pandemic responses.
个体的疫苗态度与其社交网络之间的联系已得到广泛研究，但对于这些网络如何影响更广泛的健康行为，如在新冠疫情期间的预防措施，人们了解较少。
2021年6月7日至21日，布朗大学公共卫生学院的研究人员通过在线调查收集了自我中心社交网络数据。样本（n = 173）通过亚马逊的土耳其机器人平台在康涅狄格州、马萨诸塞州、新泽西州、纽约州和罗德岛州招募。参与者报告了他们自己以及多达5个最亲密社交网络联系人（SNCs，n = 851）的新冠预防行为。主要结果是13种美国疾病控制与预防中心（CDC）推荐的预防行为（PBS）的平均值。协变量包括社交网络联系人的新冠检测、住院、疫苗接种、疾病经历、社交距离遵守情况以及对参与者检测和疫苗接种的鼓励。使用卡方检验、t检验和广义估计方程（GEE）评估预防行为与社交网络联系人属性之间的关联。
80%的参与者至少接种了一剂疫苗。预防行为得分范围为0.38至3.00（M = 2.3），且与社交网络联系人遵守社交距离指南（0.33，p < 0.001）、鼓励社交距离（0.33，p < 0.001）、鼓励接种疫苗（0.25，p = 0.001）、佩戴口罩行为（0.20，p = 0.008）、接种疫苗（0.20，p = 0.01）以及鼓励检测（0.17，p < 0.05）呈正相关。
社交网络中预防行为的聚集凸显了利用这些网络促进公共卫生干预措施的潜力。识别有风险的未受保护社区集群强调了应对差异并将人际因素纳入未来疫情应对措施的必要性。
