Deng Xiangling, Yang Min, Wang Shunan, Zhou Bo, Wang Kundi, Zhang Zhixin, Niu Wenquan
Graduate School, Beijing University of Chinese Medicine, Beijing, China.
Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China.
Front Neurosci. 2022 Jan 31;15:709374. doi: 10.3389/fnins.2021.709374. eCollection 2021.
Attention deficit hyperactivity disorder (ADHD) is the most common childhood-onset neurodevelopmental disorder. Currently, increasing amounts of attention have been focused on the epidemiologic profiling of ADHD in children, viewed as a continuously distributed risk dimension throughout the whole lifespan. This study aimed to identify and characterize potential influential factors susceptible to ADHD-related symptoms among preschool-aged children. A comprehensive questionnaire was self-designed for both children and their parents or guardians and was distributed to 30 kindergartens from Beijing and Hebei, collecting potential influential factors in susceptibility to ADHD. ADHD was assessed by the Conner's Abbreviated Symptom Questionnaire (C-ASQ), and 7,938 children were analyzed. Least absolute shrinkage and selection operator (LASSO) regression and hierarchical degree of adjustment were used to control possible covariates. Five factors, namely, children's secondhand smoking exposure, breastfeeding duration, sleep mode, maternal pregnancy smoking exposure, and parental self-rating for patience, were identified to be independently and significantly associated with ADHD susceptibility. Meanwhile, dose-response relationships were observed between breastfeeding duration, parental self-rating for patience, and ADHD-related symptoms. Finally, a nomogram model was created for predicting ADHD susceptibility based on significant and conventional attributes under each criterion.
注意缺陷多动障碍(ADHD)是最常见的儿童期起病的神经发育障碍。目前,越来越多的注意力集中在儿童ADHD的流行病学概况上,它被视为贯穿整个生命周期的连续分布的风险维度。本研究旨在识别和表征学龄前儿童中易患ADHD相关症状的潜在影响因素。自行设计了一份针对儿童及其父母或监护人的综合问卷,并分发给来自北京和河北的30所幼儿园,收集易患ADHD的潜在影响因素。采用康纳氏简明症状问卷(C-ASQ)对ADHD进行评估,共分析了7938名儿童。使用最小绝对收缩和选择算子(LASSO)回归和分层调整程度来控制可能的协变量。确定了五个因素,即儿童二手烟暴露、母乳喂养持续时间、睡眠模式、母亲孕期吸烟暴露以及父母对耐心的自评,这些因素与ADHD易感性独立且显著相关。同时,观察到母乳喂养持续时间、父母对耐心的自评与ADHD相关症状之间存在剂量反应关系。最后,基于每个标准下的显著和常规属性创建了一个列线图模型,用于预测ADHD易感性。