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发展风险人群中沟通、认知和行为问题的跨诊断关联:网络方法。

Transdiagnostic associations across communication, cognitive, and behavioural problems in a developmentally at-risk population: a network approach.

机构信息

Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge, CB2 7EF, UK.

出版信息

BMC Pediatr. 2019 Nov 21;19(1):452. doi: 10.1186/s12887-019-1818-7.

Abstract

BACKGROUND

Communication, behavioural, and executive function problems often co-occur in childhood. Previous attempts to identify the origins of these comorbidities have typically relied on comparisons of different deficit groups and/or latent variable models. Here we apply a network approach to a heterogeneous sample of struggling learners to conceptualise these comorbidities as a dynamic system of interacting difficulties.

METHODS

714 children struggling with attention, learning, and/or memory were included. The sample consisted of children with both diagnosed (41%) and undiagnosed difficulties. The conditional independence network of parent ratings of everyday behaviour, cognition, and communication was estimated.

RESULTS

A clustering coefficient identified four interconnected areas of difficulty: (1) structural language and learning; (2) pragmatics and peer relationships; (3) behavioural and emotional problems; and (4) cognitive skills. Emotional and behavioural symptoms shared multiple direct connections with pragmatic abilities and cognitive problems, but not with structural language skills or learning problems. Poor structural language and cognitive skills were associated with learning problems. Centrality indices highlighted working memory and language coherence as symptoms bridging different problem areas.

CONCLUSION

The network model identified four areas of difficulty and potential bridging symptoms. Although the current analytic framework does not provide causal evidence, it is possible that bridging symptoms may be the origins of comorbidities observed on a dimensional level; problems in these areas may cascade and activate problems in other areas of the network. The potential value of applying a dynamic systems network approach to symptoms of developmental disorders is discussed.

摘要

背景

沟通、行为和执行功能问题在儿童时期经常同时出现。以前,为了确定这些共病的起源,通常依赖于比较不同的缺陷群体和/或潜在变量模型。在这里,我们应用网络方法对一组表现不佳的学习者的异质样本进行分析,将这些共病视为一个相互作用的困难的动态系统。

方法

共纳入 714 名注意力、学习和/或记忆有困难的儿童。该样本包括被诊断出有(41%)和未被诊断出有困难的儿童。我们估计了家长对日常行为、认知和沟通的评分的条件独立性网络。

结果

聚类系数确定了四个相互关联的困难领域:(1)结构性语言和学习;(2)语用学和同伴关系;(3)行为和情绪问题;(4)认知技能。情绪和行为症状与语用能力和认知问题有多个直接联系,但与结构性语言技能或学习问题没有直接联系。结构性语言和认知技能较差与学习问题有关。中心性指数突出了工作记忆和语言连贯性作为连接不同问题领域的症状。

结论

网络模型确定了四个困难领域和潜在的连接症状。尽管目前的分析框架没有提供因果证据,但可能存在连接症状可能是在维度水平上观察到的共病的起源;这些领域的问题可能会级联并激活网络中其他领域的问题。讨论了将动态系统网络方法应用于发育障碍症状的潜在价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6be/6873531/28243741d713/12887_2019_1818_Fig1_HTML.jpg

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