已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Multi-Process Action Control in Physical Activity: A Primer

自反性 心理学 动作(物理) 控制(管理) 观察研究 心理干预 过程(计算) 社会心理学 认知心理学 应用心理学 计算机科学 人工智能 医学 社会科学 物理 病理 量子力学 精神科 社会学 操作系统
作者
Ryan E. Rhodes
出处
期刊:Frontiers in Psychology [Frontiers Media]
卷期号:12 被引量:34
标识
DOI:10.3389/fpsyg.2021.797484
摘要

The gap between the decision to engage in physical activity and subsequent behavioral enactment is considerable for many. Action control theories focus on this discordance in an attempt to improve the translation of intention into behavior. The purpose of this mini-review was to overview one of these approaches, the multi-process action control (M-PAC) framework, which has evolved from a collection of previous works. The main concepts and operational structure of M-PAC was overviewed followed by applications of the framework in physical activity, and concluded with unanswered questions, limitations, and possibilities for future research. In M-PAC, it is suggested that three layered processes (reflective, regulatory, reflexive) build upon each other from the formation of an intention to a sustained profile of physical activity action control. Intention-behavior discordance is because of strategic challenges in goal pursuit (differences in outcome vs. behavioral goals; balancing multiple behavioral goals) and automatic tendencies (approach-avoidance, conservation of energy expenditure). Regulatory processes (prospective and reactive tactics) are employed to hold the relationship between reflective processes and behavior concordant by countering these strategic challenges and automatic tendencies until the development of reflexive processes (habit, identity) begin to co-determine action control. Results from 29 observational and preliminary experimental studies generally support the proposed M-PAC framework. Future research is needed to explore the temporal dynamic between reflexive and regulatory constructs, and implement M-PAC interventions in different forms (e.g., mobile health), and at different levels of scale (clinical, group, population).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
织梦师完成签到,获得积分10
1秒前
1秒前
Xzj发布了新的文献求助10
2秒前
成就万天关注了科研通微信公众号
3秒前
完美世界应助听话的桐采纳,获得10
11秒前
11秒前
研友_VZG7GZ应助科研通管家采纳,获得10
11秒前
NexusExplorer应助科研通管家采纳,获得10
11秒前
Lucas应助科研通管家采纳,获得10
11秒前
哈基米应助科研通管家采纳,获得10
11秒前
顾矜应助科研通管家采纳,获得10
11秒前
12秒前
Ava应助科研通管家采纳,获得10
12秒前
搜集达人应助科研通管家采纳,获得10
12秒前
大模型应助科研通管家采纳,获得10
12秒前
12秒前
哈基米应助科研通管家采纳,获得10
12秒前
结实初兰完成签到 ,获得积分10
13秒前
传奇3应助lime采纳,获得20
13秒前
吱吱吱吱完成签到 ,获得积分10
13秒前
天真飞雪完成签到,获得积分10
14秒前
lww发布了新的文献求助30
16秒前
我是老大应助小馨爱科研采纳,获得10
17秒前
19秒前
20秒前
清脆的元绿完成签到,获得积分10
21秒前
allshestar完成签到 ,获得积分0
22秒前
求求发布了新的文献求助10
23秒前
23秒前
天天快乐应助Cisco采纳,获得10
23秒前
24秒前
Ava应助pp采纳,获得10
24秒前
26秒前
急急急完成签到,获得积分10
26秒前
28秒前
太就发布了新的文献求助10
28秒前
文LL应助haochunxia采纳,获得20
28秒前
ttm发布了新的文献求助10
30秒前
邱屁屁完成签到,获得积分10
30秒前
小逸完成签到,获得积分10
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Atlas of Aligner Treatment and Planning A Case-Based Approach 1000
Rocket Propulsion Elements, 10th Edition 800
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7451866
求助须知:如何正确求助?哪些是违规求助? 9049747
关于积分的说明 19291829
捐赠科研通 7076334
什么是DOI,文献DOI怎么找? 3241255
关于科研通互助平台的介绍 2407708
邀请新用户注册赠送积分活动 2225644