Applying novel technologies and methods to inform the ontology of self-regulation.

Applying novel technologies and methods to inform the ontology of self-regulation.
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DOI:
10.1016/j.brat.2017.09.014
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发表时间:
2018-03
影响因子:
4.1
通讯作者:
Poldrack RA
Poldrack RA
中科院分区:
心理学2区
文献类型:
--
作者:
Eisenberg IW;Bissett PG;Canning JR;Dallery J;Enkavi AZ;Whitfield-Gabrieli S;Gonzalez O;Green AI;Greene MA;Kiernan M;Kim SJ;Li J;Lowe MR;Mazza GL;Metcalf SA;Onken L;Parikh SS;Peters E;Prochaska JJ;Scherer EA;Stoeckel LE;Valente MJ;Wu J;Xie H;MacKinnon DP;Marsch LA;Poldrack RA

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自我调节是一个广泛的概念,代表着调动认知、动机和情感资源以实现长期目标的一般能力。这种结构与许多健康风险行为有关,并且是促进有益行为改变的有希望的目标。尽管自我调节的重要性显而易见,但人们对自我调节的行为、心理和神经组成部分仍然知之甚少,这导致了理论的不一致,并阻碍了最有效的干预措施的发展。我们概述了一个研究计划,旨在定义自我调节的神经心理学本体论,阐明构成自我调节的认知成分、它们的关系以及相关的测量。该本体将通过两种大规模方法来评估个体差异:首先纯粹使用通过亚马逊 Mechanical Turk 收集的数据进行行为,然后结合从单独人群收集的神经影像数据。为了验证本体论并证明其实用性,我们将使用它来背景化两个典型行为群体中的健康风险行为:暴饮暴食的超重/肥胖成年人和吸烟者。在确定了导致适应不良行为的本体目标后,我们将制定针对这些目标的干预措施。如果成功,这项工作将以明确的本体论形式提供对自我调节的结构化、整体性的解释,这将更好地阐明与适应不良健康行为相关的缺陷模式,并为更有效的行为改变干预措施提供方向。
Self-regulation is a broad construct representing the general ability to recruit cognitive, motivational and emotional resources to achieve long-term goals. This construct has been implicated in a host of health-risk behaviors, and is a promising target for fostering beneficial behavior change. Despite its clear importance, the behavioral, psychological and neural components of self-regulation remain poorly understood, which contributes to theoretical inconsistencies and hinders maximally effective intervention development. We outline a research program that seeks to define a neuropsychological ontology of self-regulation, articulating the cognitive components that compose self-regulation, their relationships, and their associated measurements. The ontology will be informed by two large-scale approaches to assessing individual differences: first purely behaviorally using data collected via Amazon’s Mechanical Turk, then coupled with neuroimaging data collected from a separate population. To validate the ontology and demonstrate its utility, we will then use it to contextualize health risk behaviors in two exemplar behavioral groups: overweight/obese adults who binge eat and smokers. After identifying ontological targets that precipitate maladaptive behavior, we will craft interventions that engage these targets. If successful, this work will provide a structured, holistic account of self-regulation in the form of an explicit ontology, which will better clarify the pattern of deficits related to maladaptive health behavior, and provide direction for more effective behavior change interventions.
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