a Department of Communication Studies , The College of New Jersey.
b Department of Communication , Rutgers University.
Health Commun. 2018 Dec;33(12):1549-1559. doi: 10.1080/10410236.2017.1384346. Epub 2017 Oct 25.
For individuals with a chronic illness, such as type 2 diabetes, a multitude of factors may influence the ways people cope with their condition. This study compares characteristics of the illness and characteristics of a patient's romantic relationship as factors that predict coping behaviors for individuals with type 2 diabetes. Specifically, we identify illness uncertainty as a feature of chronic illness, as well as relational uncertainty and interference from partners as relationship characteristics that are associated with coping behaviors. Using Amazon Mechanical Turk, we recruited 500 participants who were diagnosed with type 2 diabetes and involved in a romantic relationship to complete an online survey about the ways they manage their illness in the context of their relationship. Structural equation model results showed that relational uncertainty and partner interference were both positively associated with the perceived threat of discussing the illness, whereas the effect for illness uncertainty was nonsignificant; thus, relationship characteristics were a more robust predictor of perceived threat than illness characteristics. In turn, the perceived threat of discussing the illness was negatively associated with treatment compliance and positively associated with topic avoidance about the illness. Treatment compliance was also negatively associated with topic avoidance. Implications for health and relationships are discussed.
对于患有慢性疾病(如 2 型糖尿病)的个体来说,许多因素可能会影响他们应对疾病的方式。本研究比较了疾病特征和患者浪漫关系特征,以确定哪些因素可预测 2 型糖尿病患者的应对行为。具体而言,我们将疾病不确定性确定为慢性疾病的一个特征,将关系不确定性和伴侣干扰确定为与应对行为相关的关系特征。我们使用亚马逊土耳其机器人 (Amazon Mechanical Turk) 招募了 500 名被诊断患有 2 型糖尿病且处于恋爱关系中的参与者,让他们在线完成一份关于他们在恋爱关系中管理疾病方式的调查。结构方程模型的结果表明,关系不确定性和伴侣干扰均与讨论疾病的感知威胁呈正相关,而疾病不确定性的影响则不显著;因此,与疾病特征相比,关系特征是感知威胁的更有力预测因素。反过来,讨论疾病的感知威胁与治疗依从性呈负相关,与回避疾病相关话题呈正相关。治疗依从性也与回避疾病相关话题呈负相关。本文讨论了这些发现对健康和关系的意义。