Department of Psychology, Saint Joseph's University, Philadelphia, PA.
Department of Psychology, Rutgers University Camden, Camden, NJ.
J Dev Behav Pediatr. 2023;44(8):e551-e558. doi: 10.1097/DBP.0000000000001211. Epub 2023 Sep 26.
Previous studies of sleep patterns, as well as rates and correlates of perceived problems in early childhood, indicate variation by neighborhood-level socioeconomic indicators. The purpose of this study was to examine variation in (1) sleep patterns, behaviors, and problems by family-based socioeconomic indicators (income-to-needs ratio and caregiver education level) and (2) sociodemographic and sleep correlates of a caregiver-endorsed child sleep problem across and within socioeconomic indicator groups in a diverse sample.
Two hundred eighty-three caregiver-child dyads (ages 1-5 years) completed the Brief Child Sleep Questionnaire. Family-level socioeconomic indicators included income-to-needs ratio and caregiver educational level.
Sleep patterns varied based on income-to-needs ratio, with children living in poverty experiencing the longest sleep onset latencies and night awakening durations and shortest nighttime sleep durations. Rates of an endorsed child sleep problem were similar across income-to-needs groups. Although sleep patterns did not vary by caregiver education level, caregivers with an education beyond high school were more likely to endorse a child sleep problem; later bedtimes, more frequent night awakenings, and greater bedtime difficulties were the strongest correlates of a perceived sleep problem in this subgroup. No specific correlates of a child sleep problem emerged for those with a high school education or less.
Sleep patterns may be more robustly linked to family income-to-needs ratio, whereas perceptions of a child sleep problem may be more linked to caregiver education level. Clinicians should consider expanding sleep screening questions to include specific sleep outcomes to effectively assess child sleep and guide intervention.
先前有关睡眠模式以及幼儿期感知问题发生率和相关因素的研究表明,这些因素存在邻里层面社会经济指标的差异。本研究的目的是检验(1)家庭层面社会经济指标(收入需求比和照顾者教育水平)与(2)社会人口学和睡眠因素与在不同社会经济指标组内和组间照顾者认可的儿童睡眠问题的相关性,研究的结果显示睡眠模式、行为和问题存在差异。
283 对照顾者-儿童对(年龄 1-5 岁)完成了简要儿童睡眠问卷。家庭层面社会经济指标包括收入需求比和照顾者教育水平。
睡眠模式因收入需求比而异,生活在贫困中的儿童经历最长的入睡潜伏期和夜间觉醒持续时间,以及最短的夜间睡眠时间。在收入需求比组别中,认可儿童睡眠问题的比例相似。尽管睡眠模式不受照顾者教育水平的影响,但教育程度超过高中的照顾者更有可能认可儿童睡眠问题;更晚的就寝时间、更频繁的夜间觉醒和更大的就寝困难是该亚组中感知睡眠问题的最强相关因素。在具有高中或以下教育程度的人群中,没有出现特定的儿童睡眠问题相关因素。
睡眠模式可能与家庭收入需求比更为密切相关,而对儿童睡眠问题的感知可能与照顾者教育水平更为相关。临床医生应考虑扩大睡眠筛查问题,以包括特定的睡眠结果,以有效评估儿童睡眠并指导干预。