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迭代思维模式方法:一种用于数字医学中可持续行为改变和减肥的神经科学理论方法。

The Iterative Mindset Method: a neuroscientific theoretical approach for sustainable behavior change and weight-loss in digital medicine.

作者信息

Bobinet Kyra, Greer Stephanie M

机构信息

Fresh Tri, Inc., 13001 East Zayante Road, Felton, CA, 95018, USA.

SMG Labs, LLC, 2621 Judah Street, San Francisco, CA, 94122, USA.

出版信息

NPJ Digit Med. 2023 Sep 26;6(1):179. doi: 10.1038/s41746-023-00910-y.

Abstract

With the growing prevalence of chronic conditions driving 85% of all healthcare costs, digital health offers a promising opportunity to reverse disease and improve health at-scale. The healthcare industry's predominant approach to behavior change is performance-based with a focus on goals and tracking. This has not reversed the epidemic of chronic diseases and also can harm chronically ill and vulnerable patients via perceived failure-induced loss of motivation. Still nascent, the digital health industry is uniquely positioned to adopt and scale new and better behavior change approaches. In this paper, we present the theoretical foundation and initial findings of a neuroscience-based behavior change approach-what we call the Iterative Mindset Method. We discuss its promise, as a potentially more effective, neuroscience-based approach to changing health behaviors long-term, particularly in vulnerable populations. We conclude with avenues for future research.

摘要

慢性病的患病率不断上升,占所有医疗保健成本的85%,数字健康为大规模逆转疾病和改善健康提供了一个充满希望的机会。医疗行业改变行为的主要方法是基于表现的,侧重于目标和跟踪。这并没有扭转慢性病的流行趋势,而且还可能通过感知到的失败导致的动力丧失,对慢性病患者和脆弱患者造成伤害。数字健康行业仍处于起步阶段,具有独特的地位来采用和推广新的、更好的行为改变方法。在本文中,我们介绍了一种基于神经科学的行为改变方法——我们称之为迭代思维方法的理论基础和初步研究结果。我们讨论了它的前景,作为一种可能更有效的、基于神经科学的长期改变健康行为的方法,特别是在弱势群体中。我们最后提出了未来研究的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60c9/10522664/e7586afd9719/41746_2023_910_Fig1_HTML.jpg

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