Sun Haosen, Francis Heather M, Polo Jennifer, Esposito Christine, Papia Katherine, Yeley Jana, Brant Meagan, Huenger Alison, Wang Janice, Brown Cynthia, Pullen Erin, Basile Melissa J
University of Nevada Reno, Reno, United States.
Indiana University Bloomington, Bloomington, United States.
Int J Behav Med. 2025 Jul 2. doi: 10.1007/s12529-025-10382-x.
Among people with cystic fibrosis (CF), health behaviors and mental health have been associated with general social support. We used egocentric network analysis to assess the specific impact of social network variables on treatment adherence, depression, anxiety, and perceived stigma among adults with CF. Our goal is to identify the social network factors which may be driving adherence, anxiety, depression, and perceived stigma among adults with CF toward developing targeted network-based interventions.
Our primary outcome, adherence to individual-level treatment regimens, was assessed using composite prescription refill history (cMPR), self-reported airway clearance therapy (ACT), and consumption of all prescriptions. Secondary outcomes were assessed via patient completion of the Patient Health Questionnaire-9 (PHQ-9) for depression, the General Anxiety Disorder-7 (GAD-7) for anxiety, and the CF Stigma Scale for perceived stigma. Participants also completed a social network interview to collect data on personal-level networks. Controlling for participant age, sex, race, relationship status, work status, and CF disease severity, we explored the impact of network variables on our primary and secondary outcomes using regression analysis. All models were run twice to assess both core and strong network ties.
Regression analysis of 104 participants showed that strong network ties serving as health discussants and health regulators were positively associated with stronger adherence, while financial dependence and network density were associated with decreased adherence. Network alters having higher education levels, strong trust in doctors, and support for daily activities were associated with lower depression, anxiety, and perceived stigma. Participants having a higher proportion of network members who hassled them and had lower trust and/or greater variability in trust in doctors experienced higher depression, anxiety, and perceived stigma.
Findings show that network-based variables including close ties to health discussants, network members' education levels, and health beliefs, as well as having network members providing support for daily activities may be driving specific aspects of adherence, symptoms of depression and anxiety, and perceived stigma among adults with CF. These findings may thus allow us to leverage social networks in the development of novel interventions to improve adherence and mental health and reduce perceived stigma for people with CF.
在囊性纤维化(CF)患者中,健康行为和心理健康与一般社会支持有关。我们使用自我中心网络分析来评估社交网络变量对成年CF患者治疗依从性、抑郁、焦虑和感知耻辱感的具体影响。我们的目标是确定可能促使成年CF患者产生依从性、焦虑、抑郁和感知耻辱感的社交网络因素,以便制定有针对性的基于网络的干预措施。
我们使用综合处方 refill 历史记录(cMPR)、自我报告的气道清除治疗(ACT)和所有处方的消耗量来评估我们的主要结局,即对个体水平治疗方案的依从性。通过患者完成用于评估抑郁的患者健康问卷-9(PHQ-9)、用于评估焦虑的广泛性焦虑障碍-7(GAD-7)以及用于评估感知耻辱感的CF耻辱感量表来评估次要结局。参与者还完成了一次社交网络访谈,以收集个人层面网络的数据。在控制参与者的年龄、性别、种族、关系状况、工作状况和CF疾病严重程度后,我们使用回归分析探讨了网络变量对我们主要和次要结局的影响。所有模型均运行两次,以评估核心和强网络关系。
对104名参与者的回归分析表明,作为健康讨论者和健康监管者的强网络关系与更强的依从性呈正相关,而经济依赖和网络密度与依从性降低有关。网络中的联系人具有较高的教育水平、对医生的高度信任以及对日常活动的支持,与较低的抑郁、焦虑和感知耻辱感相关。有较高比例的网络成员对他们进行骚扰、对医生的信任较低和/或信任度变化较大的参与者,经历了更高的抑郁、焦虑和感知耻辱感。
研究结果表明,基于网络的变量,包括与健康讨论者的密切关系、网络成员的教育水平和健康信念,以及有网络成员为日常活动提供支持,可能是成年CF患者依从性、抑郁和焦虑症状以及感知耻辱感的特定方面的驱动因素。因此,这些发现可能使我们能够在开发新的干预措施时利用社交网络,以提高CF患者的依从性和心理健康,并减少他们的感知耻辱感。