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Latent class analysis to characterize neonatal risk for neurodevelopmental differences
Journal of Child Psychology and Psychiatry ( IF 6.5 ) Pub Date : 2022-07-15 , DOI: 10.1111/jcpp.13671
Allison M Momany 1 , Elizabeth Jasper 2, 3 , Kristian E Markon 4 , Molly A Nikolas 4 , Kelli K Ryckman 5
Affiliation  

Neonatal risk factors, such as preterm birth and low birth weight, have been robustly linked to neurodevelopmental deficits, yet it is still unclear why some infants born preterm and/or low birth weight experience neurodevelopmental difficulties while others do not. The current study investigated this heterogeneity in neurodevelopmental abilities by examining additional neonatal morbidities as risk factors, utilizing latent class analysis to classify neonates into groups based on similar neonatal risk factors, and including neonates from the full spectrum of gestational age.

中文翻译:


潜在类别分析来表征新生儿神经发育差异的风险



早产和低出生体重等新生儿危险因素与神经发育缺陷密切相关,但目前尚不清楚为什么一些早产和/或低出生体重的婴儿会出现神经发育困难,而另一些则不会。目前的研究通过检查作为危险因素的额外新生儿发病率,利用潜在类别分析根据相似的新生儿危险因素将新生儿分类,并包括来自全胎龄的新生儿,从而调查了神经发育能力的异质性。
更新日期:2022-07-15
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