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Contextualizing Flexible Nonlinear Periodization as a Person-Adaptive Behavioral Model for Exercise Maintenance
Health Psychology Review ( IF 9.638 ) Pub Date : 2023-07-04 , DOI: 10.1080/17437199.2023.2233592
Kelley Strohacker 1 , Gorden Sudeck 2, 3 , Richard Keegan 4 , Adam H Ibrahim 1 , Cory T Beaumont 5
Affiliation  

Abstract

There is a growing focus on developing person-adaptive strategies to support sustained exercise behavior, necessitating conceptual models to guide future research and applications. This paper introduces Flexible nonlinear periodization (FNLP) – a proposed, but underdeveloped person-adaptive model originating in sport-specific conditioning – that, pending empirical refinement and evaluation, may be applied in health promotion and disease prevention settings. To initiate such efforts, the procedures of FNLP (i.e., acutely and dynamically matching exercise demand to individual assessments of mental and physical readiness) are integrated with contemporary health behavior evidence and theory to propose a modified FNLP model and to show hypothesized pathways by which FNLP may support exercise adherence (e.g., flexible goal setting, management of affective responses, and provision of autonomy/variety-support). Considerations for future research are also provided to guide iterative, evidence-based efforts for further development, acceptability, implementation, and evaluation.



中文翻译:

将灵活的非线性周期化作为运动维持的个体自适应行为模型

摘要

人们越来越关注开发适合个人的策略来支持持续的锻炼行为,需要概念模型来指导未来的研究和应用。本文介绍了灵活的非线性周期化(FNLP)——一种提出的、但尚未开发的个人自适应模型,源自运动特定的调节——在实证细化和评估之前,可以应用于健康促进和疾病预防环境。为了发起这样的努力,FNLP 的程序(即,将运动需求与个人心理和身体准备状态评估进行敏锐和动态匹配)与当代健康行为证据和理论相结合,提出改进的 FNLP 模型,并展示 FNLP 的假设路径可以支持锻炼坚持(例如,灵活的目标设定,情感反应的管理,以及提供自主/多样性支持)。还提供了对未来研究的考虑因素,以指导进一步开发、可接受性、实施和评估的迭代、基于证据的工作。

更新日期:2023-07-04
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