Intertemporal Decision-Making, Diabetes Self-Management, and Health Outcomes in Patients With Type 2 Diabetes.

Pina Jin, Xiaojing Wang, Aihua Li, Huan Dong, Kailu Wu, Aichun Wen, Meihua Ji
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Abstract

Purpose: The purpose of this study was to identify the independent factors associated with intertemporal decision-making and to examine its relationship with diabetes self-management behaviors, glucose variability, and diabetes complications in patients with diabetes.

Methods: A cross-sectional study using convenience sampling (n = 368) was conducted in patients with type 2 diabetes (T2DM) between November 2021 and April 2023. Data were collected using self-reported questionnaires and retrieval of clinical information from medical records. Intertemporal decision-making was operationalized using delay discounting. The outcome variables included diabetes self-management behaviors, A1C, diabetic retinopathy, and carotid artery disease. Hierarchical regression and binary logistic regression models were used to explore the relationships among intertemporal decision-making, self-management, A1C, and carotid artery disease.

Results: The analyses showed that intertemporal decision-making was negatively associated with physical activity and carotid artery disease, in which individuals with lower delay discounting tended to have healthier physical activity; when the delay discounting rate increased 1 unit, the risk of the carotid artery disease increased by 39.8%.

Conclusions: The study reveals that a lower delay discounting can promote healthier physical activity and decrease the incidence of carotid artery disease. These results offer new knowledge for researchers and clinicians to consider intertemporal decision-making in developing interventional programs to improve physical activity and reduce carotid artery complication in patients with T2DM when providing care.

2 型糖尿病患者的跨时空决策、糖尿病自我管理和健康结果。
目的:本研究旨在确定与跨时空决策相关的独立因素,并研究其与糖尿病患者的糖尿病自我管理行为、血糖变异性和糖尿病并发症之间的关系:在 2021 年 11 月至 2023 年 4 月期间,对 2 型糖尿病(T2DM)患者进行了一项方便抽样的横断面研究(n = 368)。数据收集采用自我报告问卷和从医疗记录中检索临床信息的方式。采用延迟贴现法对时际决策进行操作。结果变量包括糖尿病自我管理行为、A1C、糖尿病视网膜病变和颈动脉疾病。采用层次回归和二元逻辑回归模型探讨跨时空决策、自我管理、A1C 和颈动脉疾病之间的关系:分析表明,时际决策与身体活动和颈动脉疾病呈负相关,其中延迟折现率较低的个体往往有更健康的身体活动;当延迟折现率增加1个单位时,患颈动脉疾病的风险增加39.8%:研究表明,较低的延迟折现率可以促进更健康的体育锻炼,降低颈动脉疾病的发病率。这些结果为研究人员和临床医生提供了新的知识,他们在制定干预方案时应考虑跨时空决策,以改善T2DM患者的体力活动并减少颈动脉并发症。
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