Innovative methods for observing and changing complex health behaviors: four propositions.

Innovative methods for observing and changing complex health behaviors: four propositions.
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DOI:
10.1093/tbm/ibaa026
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发表时间:
2021-03-16
影响因子:
3.6
通讯作者:
Hekler EB
Hekler EB
中科院分区:
医学3区
文献类型:
--
作者:
Chevance G;Perski O;Hekler EB

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精准健康倡议旨在逐步从传统的小组级别的健康诊断和治疗方法转向个性化、情境化和及时性的方法。本文旨在提供有助于促进健康行为改变领域这一转变的关键方法和途径的概述。本文是对用于观察和改变复杂健康行为的方法的叙述性回顾。在现有文献的基础上,我们认为,健康行为变化研究人员应该逐步从(I)低分辨率行为评估过渡到高分辨率行为评估,(Ii)仅针对群体的统计推断过渡到群体和个人水平的统计推断,(Iii)叙事理论模型过渡到动态计算模型,以及(Iv)静态调整到适应性和持续调整干预。这篇文章没有提供每种方法和途径的详尽和技术性介绍,而是阐明了为什么以及如何对健康行为改变感兴趣的研究人员可以应用这些创新方法。文中列举了有助于这些努力的实际例子。如果成功地采用和实施,本文中的四个主张有可能在不久的将来极大地改善我们的公共健康和行为改变实践。
Precision health initiatives aim to progressively move from traditional, group-level approaches to health diagnostics and treatments toward ones that are individualized, contextualized, and timely. This article aims to provide an overview of key methods and approaches that can help facilitate this transition in the health behavior change domain. This article is a narrative review of the methods used to observe and change complex health behaviors. On the basis of the available literature, we argue that health behavior change researchers should progressively transition from (i) low- to high-resolution behavioral assessments, (ii) group-only to group- and individual-level statistical inference, (iii) narrative theoretical models to dynamic computational models, and (iv) static to adaptive and continuous tuning interventions. Rather than providing an exhaustive and technical presentation of each method and approach, this article articulates why and how researchers interested in health behavior change can apply these innovative methods. Practical examples contributing to these efforts are presented. If successfully adopted and implemented, the four propositions in this article have the potential to greatly improve our public health and behavior change practices in the near future.
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