Behavioral, Social and Health Education Sciences, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.
Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
J Cancer Educ. 2021 Dec;36(6):1155-1162. doi: 10.1007/s13187-020-01879-y. Epub 2020 Oct 27.
Poor adherence to screening recommendations is an important contributing factor to disparities in breast and cervical cancer outcomes among women in the USA. Screening behaviors are multifactorial, but there has been limited focus on how family network beliefs and behaviors influence individual's likelihood to complete screening. This research aims to fill this gap by evaluating the role of family network composition and screening behaviors on women's likelihood to adhere to mammogram and pap screening recommendations. We used an ego network approach to analyze data from 137 families and their networks. Primary outcomes were whether an individual had received a mammogram in the past year and whether she had received a pap screening in the past 3 years. Network-level predictors included network composition (size of network, average age of network members, satisfaction with family communication) and network screening behaviors. We conducted multivariable logistic regressions to assess the influence of network-level variables on both mammogram and pap smears, adjusting for potential individual-level confounders. Each network had an average age of 47.9 years, and an average size of 3.05 women, with the majority of members being sisters (57.7%). We found differences in network screening behaviors by race, with Arab networks being less likely to have completed self-breast exams (OR = 0.21, 95%CI = 0.05-0.76, p = 0.02), ever a gotten pap screen (OR = 0.11, 95%CI = 0.01-0.85, p = 0.04), and gotten pap screening in the last 3 years (OR = 0.31, 95%CI = 0.10-0.99, p = 0.04) compared with African American networks. Network screening behaviors also strongly influenced the likelihood of an individual completing a similar screening behavior. This analysis sheds light on family network characteristics that influence screening behaviors among medically underserved women. These findings support the development and dissemination of screening interventions among female's family networks.
美国女性在乳腺癌和宫颈癌筛查方面的结果存在差异,其中一个重要的原因是患者对筛查建议的依从性较差。筛查行为受多种因素影响,但目前针对家庭网络信念和行为如何影响个体完成筛查的研究较少。本研究旨在通过评估家庭网络组成和筛查行为对女性接受乳房 X 光检查和巴氏涂片检查建议的可能性的影响来填补这一空白。我们采用个体中心网络分析法,分析了来自 137 个家庭及其网络的资料。主要结局是个体是否在过去 1 年内接受过乳房 X 光检查,以及是否在过去 3 年内接受过巴氏涂片检查。网络层面的预测因子包括网络组成(网络规模、网络成员的平均年龄、家庭沟通满意度)和网络筛查行为。我们进行了多变量逻辑回归分析,以评估网络层面变量对乳房 X 光检查和巴氏涂片检查的影响,同时调整了潜在的个体层面混杂因素。每个网络的平均年龄为 47.9 岁,平均规模为 3.05 人,其中大多数成员是姐妹(57.7%)。我们发现,网络筛查行为存在种族差异,阿拉伯裔网络接受自我乳房检查(OR = 0.21,95%CI = 0.05-0.76,p = 0.02)、曾经接受巴氏涂片检查(OR = 0.11,95%CI = 0.01-0.85,p = 0.04)以及在过去 3 年内接受巴氏涂片检查(OR = 0.31,95%CI = 0.10-0.99,p = 0.04)的可能性均低于非裔美国网络。网络筛查行为也强烈影响个体完成类似筛查行为的可能性。本分析揭示了影响医疗资源不足的女性筛查行为的家庭网络特征。这些发现支持在女性的家庭网络中开展和传播筛查干预措施。