首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Classifying Married Adults Diagnosed With Alpha-1 Antitrypsin Deficiency Based on Spousal Communication Patterns Using Latent Class Analysis: Insights for Intervention
Authors:Rachel A Smith  Sara E Wienke  Michelle K Baker
Institution:1. Communication Arts and Sciences, The Pennsylvania State University, University Park, PA, USA
2. Human Development & Family Studies, Center for Infectious Disease Dynamics, and the Methodology Center, The Pennsylvania State University, University Park, PA, USA
4. W-252 Millennium Science Complex, The Pennsylvania State University, University Park, PA, 16802, USA
3. Department of Medicine, Division of Pulmonary, Medical University of South Carolina, Charleston, SC, USA
Abstract:Married adults are increasingly exposed to test results that indicate an increased genetic risk for adult-onset conditions. For example, a SERPINA1 mutation, associated with alpha-1 antitrypsin deficiency (AATD), predisposes affected individuals to diseases such as chronic obstructive pulmonary disease (COPD) and cancer, which are often detected in adulthood. Married adults are likely to discuss genetic test results with their spouses, and interpersonal research suggests that spouses’ communication patterns differ. Latent class analysis was used to identify subgroups of spousal communication patterns about AATD results from a sample of married adults in the Alpha-1 Research Registry (N?=?130). A five-class model was identified, and the subgroups were consistent with existing spousal-communication typologies. This study also showed that genetic beliefs (e.g., genetic stigma), emotions, and experiences (e.g., insurance difficulties) covaried with membership in particular subgroups. Understanding these differences can serve as the foundation for the creation of effective, targeted communications interventions to address the specific needs and conversational patterns of different kinds of couples.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号