Diabetes mellitus is the seventh leading cause of death in the United States, requiring a series of complex behavior changes that must be sustained for a lifetime (e.g., counting carbohydrates, self-monitoring blood glucose, adjusting insulin). Although complex, all of these tasks involve behavior, making them amenable targets for behavior analysts. In this article, the authors describe interventions that have focused on antecedent, consequent, multicomponent, and alternate procedures for the management of diabetes, highlighting ways in which technology has been used to overcome common barriers to the use of these intensive, evidence-based interventions. Additional variables relevant to poorly managed diabetes (e.g., delay discounting) are also discussed. Future research and practice should focus on harnessing continued advances in information technology while also considering underexplored behavioral technologies for the effective treatment of diabetes, with a focus on identifying sustainable, long-term solutions for maintaining proper diabetes management. Practical implementation of these interventions will depend on having qualified behavior analysts working in integrated primary care settings where the interventions are most likely to be used, which will require interdisciplinary training and collaboration.

中文翻译：

---

糖尿病管理的行为分析方法：现状和未来方向


糖尿病是美国第七大死因，需要一生持续的一系列复杂的行为改变（例如，计算碳水化合物、自我监测血糖、调整胰岛素）。尽管很复杂，但所有这些任务都涉及行为，这使得它们成为行为分析师的目标。在本文中，作者描述了侧重于糖尿病管理的前因、后因、多成分和替代程序的干预措施，强调了如何利用技术来克服使用这些强化、循证干预措施的常见障碍。还讨论了与糖尿病管理不善相关的其他变量（例如，延迟贴现）。未来的研究和实践应侧重于利用信息技术的持续进步，同时考虑有效治疗糖尿病的尚未充分探索的行为技术，重点是确定可持续的长期解决方案以维持适当的糖尿病管理。这些干预措施的实际实施将取决于是否有合格的行为分析师在最有可能使用干预措施的综合初级保健环境中工作，这将需要跨学科培训和合作。