Svingos Adrian, Greif Sarah, Bailey Brittany, Heaton Shelley
Department of Clinical & Health Psychology, University of Florida, Gainesville, FL 32610, USA.
Children (Basel). 2018 Feb 28;5(3):33. doi: 10.3390/children5030033.
Children with conditions affecting cognitive processes experience high levels of sleep disturbance, which may further compound the cognitive ramifications of their disorders. Despite this, existing studies in this area have been primarily confined to only particular diagnostic groups and/or a limited scope of sleep and cognitive parameters. The current study characterized the nature of sleep problems and examined the relationship between a wide range of sleep-related problems and cognitive functioning in a large ( = 103) diagnostically heterogeneous sample of youth (aged 6-16) referred for neuropsychological assessment. Structural equation modeling was used to examine the relationship between sleep-related problems (i.e., daytime sleepiness, sleep onset latency, sleep fragmentation, sleep time variability, sleep debt) and cognitive performance (i.e., executive functioning, sustained attention, memory, processing speed). Sleep fragmentation emerged as the most prominent sleep-related problem in the present sample. Structural equation modeling demonstrated a negative association between sleep-related problems and cognition that did not reach statistical significance (β = -0.084, = 0.629). The current statistical approach may be used as a conceptual framework for future work examining these multi-dimensional constructs in a parsimonious fashion.
患有影响认知过程疾病的儿童存在高水平的睡眠障碍，这可能会进一步加重其疾病对认知的影响。尽管如此，该领域现有研究主要局限于特定诊断组和/或有限范围的睡眠及认知参数。本研究对睡眠问题的性质进行了描述，并在一个由103名年龄在6至16岁、因神经心理评估前来就诊的诊断异质性青年样本中，考察了一系列与睡眠相关问题和认知功能之间的关系。采用结构方程模型来检验与睡眠相关问题（即日间嗜睡、入睡潜伏期、睡眠片段化、睡眠时间变异性、睡眠债）和认知表现（即执行功能、持续注意力、记忆、处理速度）之间的关系。在本样本中，睡眠片段化是最突出的与睡眠相关问题。结构方程模型显示，与睡眠相关问题和认知之间存在负相关，但未达到统计学意义（β = -0.084，p = 0.629）。当前的统计方法可作为未来以简洁方式研究这些多维结构的概念框架。
