This study used a machine learning framework in conjunction with a large battery of measures from 9,718 school-age children (ages 9–11) from the Adolescent Brain Cognitive Development^SM (ABCD) Study to identify factors associated with fluid cognitive functioning (FCF), or the capacity to learn, solve problems, and adapt to novel situations. The identified algorithm explained 14.74% of the variance in FCF, replicating previously reported socioeconomic and mental health contributors to FCF, and adding novel and potentially modifiable contributors, including extracurricular involvement, screen media activity, and sleep duration. Pragmatic interventions targeting these contributors may enhance cognitive performance and protect against their negative impact on FCF in children.

中文翻译：

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课外活动、屏幕媒体活动和睡眠可能是与儿童认知功能相关的可改变因素：来自 ABCD 研究®的证据

^{这项研究使用机器学习框架，结合来自青少年大脑认知发展SM} (ABCD) 研究的9,718 名学龄儿童（9-11 岁）的大量测量数据，以确定与流体认知功能 (FCF) 相关的因素，或者学习、解决问题和适应新情况的能力。确定的算法解释了 FCF 的 14.74% 差异，复制了之前报告的 FCF 的社会经济和心理健康因素，并添加了新颖且可能可修改的因素，包括课外参与、屏幕媒体活动和睡眠持续时间。针对这些贡献者的务实干预措施可以提高认知能力并防止其对儿童 FCF 产生负面影响。