School of Kinesiology, University of British Columbia, Vancouver, Canada.
Department of Educational and Counseling Psychology and Special Education, University of British Columbia, Vancouver, Canada.
Health Psychol Rev. 2022 Dec;16(4):492-525. doi: 10.1080/17437199.2021.1987953. Epub 2021 Nov 15.
Physical activity behaviour displays temporal variability, and is influenced by a range of dynamic psychological processes (e.g., affect) and shaped by various co-occurring events (e.g., social/environmental factors, interpersonal dynamics). Yet, most physical activity research tends not to examine the dynamic psychological processes implicated in adopting and maintaining physical activity. Intensive longitudinal methods (ILM) represent one particularly salient means of studying the that underlie and result from physical activity behaviour. With the increased recent interest in using intensive longitudinal data to understand specific dynamic psychological processes, the field of exercise and health psychology is well-positioned to draw from state-of-the-art measurement and statistical approaches that have been developed and operationalised in other fields of enquiry. The purpose of this review is to provide an overview of some of the fundamental dynamic measurement and modelling approaches applicable to the study of physical activity behaviour change, as well as the dynamic psychological processes that contribute to such change.
身体活动行为表现出时间上的可变性,受到一系列动态心理过程(例如情感)的影响,并受到各种同时发生的事件(例如社会/环境因素、人际动态)的影响。然而,大多数身体活动研究往往没有研究参与和维持身体活动所涉及的动态心理过程。密集纵向方法(ILM)是研究身体活动行为的基础和结果的一个特别突出的手段。随着最近越来越多的人使用密集纵向数据来了解特定的动态心理过程,运动与健康心理学领域有很好的机会借鉴其他研究领域已经开发和实施的最新测量和统计方法。本综述的目的是概述一些适用于身体活动行为改变研究的基本动态测量和建模方法,以及有助于这种改变的动态心理过程。