Department of Psychology, University of Notre Dame, Indiana.
Gerontologist. 2021 Apr 3;61(3):304-311. doi: 10.1093/geront/gnaa046.
We need to understand how psychosocial resources develop, identify the influences that threaten their maintenance, detect the circumstances under which these resources are used, and elucidate the factors that support and promote their growth. Three important components to studying the development of resilience include its dynamic nature, context, and timescale of measurement. Dynamic systems (DS) approaches focus on physiological and psychological structures underling the development of resilience by explicitly mapping parameters of change onto their corresponding aspects of functioning. Previous research has captured emotion regulation within individuals, across traits, and in close personal relationships to show how these methods depict dynamic regulation/resilience resources and their influence on outcomes of interest. The use of multi-time scaled data informs how daily emotion regulation is disrupted in the context of stress to produce dysregulation and disease later in the life course. This approach can also reveal how resilience resources counteract these adverse processes and allow others to thrive and be well. Researchers must not only explore short-term variation in constructs of interest, but also explore how these shorter-term fluctuations contribute to longer-term changes. The confluence of DS, contextual influences, and multiple timescales provides an important set of tools to better understand development.
我们需要了解心理社会资源是如何发展的，识别威胁其维持的影响因素，发现这些资源被利用的情况，并阐明支持和促进其增长的因素。研究弹性发展的三个重要组成部分包括其动态性、背景和测量的时间尺度。动态系统（DS）方法通过将变化的参数明确映射到其相应的功能方面，重点研究支撑弹性发展的生理和心理结构。先前的研究已经捕捉到了个体内部、跨特质和亲密人际关系中的情绪调节，以展示这些方法如何描述动态调节/弹性资源及其对相关结果的影响。使用多时间尺度数据可以说明在压力下，个体的日常情绪调节是如何被打乱的，从而导致以后的生活过程中出现失调和疾病。这种方法还可以揭示弹性资源如何抵消这些不利过程，使其他人茁壮成长并保持健康。研究人员不仅必须探索感兴趣的结构的短期变化，还要探索这些短期波动如何导致长期变化。DS、背景影响和多个时间尺度的融合为更好地理解发展提供了一套重要的工具。
