A Hierarchical Integrated Model of Self-Regulation.
A Hierarchical Integrated Model of Self-Regulation.
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DOI：
10.3389/fpsyg.2022.725828
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发表时间：
2022
影响因子：
3.8
通讯作者：
Ku S
中科院分区：
文献类型：
--
作者：
Blair C;Ku S
我们提出了一个自我调节的分层综合模型，其中执行功能是该模型的认知组成部分，以及情感、行为、生理和遗传组成部分。模型中的这五个组成部分是相互递归相关的。该模型得到了经验证据的支持，这些证据主要来自于模型每个级别的良好测量的单一纵向研究。我们还发现，该模型与当前对相关主题的思考是一致的，例如控制论、动态平衡和动态负载理论，以及恶劣和不可预测的环境中的技能发展理论（称为“隐藏人才”）。接下来，我们提出的文献表明，整合过程容易受到环境逆境的影响，特别是与贫困相关的风险，而与照顾者的积极社会互动（例如，产妇敏感性）将促进自我调节过程或减轻早期风险对过程的不利影响。自律的分层综合模型增进了我们对自律过程的理解。未来的研究可能会考虑综合自我监管系统的更广泛的社会背景，例如邻里/社区背景和结构性种族主义。这可以成为为儿童提供平等成长机会的不可或缺的一步，即使是生活在社会经济和心理社会弱势环境中的儿童也是如此。
We present a hierarchical integrated model of self-regulation in which executive function is the cognitive component of the model, together with emotional, behavioral, physiological, and genetic components. These five components in the model are reciprocally and recursively related. The model is supported by empirical evidence, primarily from a single longitudinal study with good measurement at each level of the model. We also find that the model is consistent with current thinking on related topics such as cybernetic theory, the theory of allostasis and allostatic load, and the theory of skill development in harsh and unpredictable environments, referred to as “hidden talents.” Next, we present literature that the integrative processes are susceptible to environmental adversity, poverty-related risk in particular, while positive social interactions with caregivers (e.g., maternal sensitivity) would promote self-regulatory processes or mitigate the adverse effect of early risk on the processes. A hierarchical integrative model of self-regulation advances our understanding of self-regulatory processes. Future research may consider broader social contexts of the integrative self-regulation system, such as neighborhood/community contexts and structural racism. This can be an integral step to provide children with equitable opportunities to thrive, even among children living in socioeconomically and psychosocially disadvantaged environments.
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影响因子：
34.7
作者：
Arnsten, Amy F. T.
通讯作者：
Arnsten, Amy F. T.
影响因子：
4.6
作者：
Blair C;Granger DA;Willoughby M;Mills-Koonce R;Cox M;Greenberg MT;Kivlighan KT;Fortunato CK;FLP Investigators
通讯作者：
FLP Investigators
影响因子：
7.2
作者：
Frankenhuis, Willem E.;de Weerth, Carolina
通讯作者：
de Weerth, Carolina
影响因子：
1.5
作者：
Bull, R;Scerif, G
通讯作者：
Scerif, G
影响因子：
56.9
作者：
Agrawal, AA
通讯作者：
Agrawal, AA