在日本早期婴儿期异常神经发育的多层次因素和指标:前性,纵向性,观察性研究
Daigo Kato1,2,3, Akiko Okuno4, Tetsuo Ishikawa1,3,5,6
1Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
JMIR pediatrics and parenting
|April 7, 2025
概括
孕产妇的痛苦,婴儿的睡眠和母婴的亲密关系预测了早期的发育差异. 这项研究提供了一种评估神经发育轨迹和识别潜在问题的新方法.
科学领域:
- 神经发育研究的神经发育研究.
- 儿童心理学 儿童心理学
- 孕产妇健康 孕产妇健康
背景情况:
- 早期识别神经发育状况依赖于理解个体差异.
- 对影响早期发育的儿童和母亲因素的长度研究有限.
研究的目的:
- 确定与早期发育特征相关的围产和婴儿因素.
- 开发一种方法来评估神经发育轨迹中的个体差异.
- 检测神经发育条件的正式诊断之前的早期迹象.
主要方法:
- 从怀孕期到产后12个月的147对母婴对进行前性纵向观察性研究.
- 使用产前问卷,采血,带血和产后评估.
- 使用自闭症在幼儿中修改后的检查清单 (M-CHAT) 进行发育评估.
- 应用了相关系数,L2规则化的逻辑回归和沙普利增量解释用于分析.
主要成果:
- 21个因素 (产前,产后,产后) 与M-CHAT得分有显著的相关性 (调整后P<0.05).
- 在M-CHAT得分方面取得了合理的预测准确性 (AUC = 0.79).
- 关键预测因素包括婴儿睡眠模式 (持续时间,睡觉时间,困难),母亲的心理困扰,以及母婴结合得分.
结论:
- 母亲的心理压力,母婴的亲密关系和婴儿的睡眠模式是早期发育特征的重要预测因素.
- 这项研究提供了一种新的方法来识别和评估非典型神经发育的早期指标.
- 提升对早期发育评估的理解,以应对新出现的问题.
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