Original ArticleWhat keeps low-SES children from sleeping well: the role of presleep worries and sleep environment
Introduction
Sleep is increasingly being linked to multiple aspects of health and well-being in youth [1]. Experimental and observational studies have shown that sleep is critical to maintaining metabolic, endocrine, and immune functioning [2], and it is related to health-related behaviors such as decreased physical activity, increased risk of substance use, and suicidal ideation [3]. Other research suggests that daytime sleepiness is related to behavior problems and mood [4], to lower levels of self-reported general health [5], and to an increased risk of unintentional injury [6].
Given the important role of sleep for overall health, it has been proposed that differences in various sleep parameters along socioeconomic lines may explain, at least in part, health disparities for a number of diseases [7], [8]. This proposed link is underscored by research documenting socioeconomic disparities in sleep beginning in childhood. Studies on associations between family-level economic disadvantage and sleep have shown that lower socioeconomic status (SES) is associated with shorter sleep duration when assessed objectively using actigraphy [9], [10], [11] and through self- and parent-report methods [12], [13]. In addition to sleep duration, self-reported subjective sleep problems (e.g., trouble falling asleep, maintaining sleep, and oversleeping) may be associated with family SES. Findings from the National Sleep Foundation's 2006 [14] survey showed that adolescents with family income in the lowest bracket (<$50,000) were more likely to report difficulty falling asleep and staying asleep as compared to those in the highest bracket (>$100,000) [14]. Related research has found that, during late childhood, a lower income-to-needs ratio was associated with greater self-reported sleep/wake problems [9].
The reasons why youths from lower socioeconomic backgrounds are at a greater risk of shorter and worse-quality sleep have not been well studied, and there is a need to identify mechanisms linking lower SES to poorer sleep [15]. The physical sleep environment is considered an important domain of “sleep hygiene” [16]. The National Sleep Foundation's sleep hygiene recommendations include keeping the bedroom “comfortable, free from light and noise,” and these recommendations are supported by research showing links between the sleep environment and sleep problems. A study of families in China, for example, found noisy home conditions to double the risk of children experiencing more than three symptoms of insomnia [17]. Fewer economic resources may make it more challenging for families to maintain children's sleep environments that are quiet, dark, and kept at a comfortable temperature, however. Smaller domiciles, for example, make it more likely that young children will share a bedroom with siblings and tighter living conditions are associated with greater difficulty falling asleep [18]. Research has also found that children from lower-income homes are three to four times more likely than those from the middle- and upper-income brackets to have a television in their bedroom [19]. In a review of the literature, Cain and Gradisar [20] found consistent evidence that the presence of a television in the bedroom is related to shorter total sleep and higher levels of sleep disturbance. Therefore, it is possible that the sleep environment may be an important consideration when examining links between SES and sleep. Indeed, limited research suggests that the sleep environment may at least partially explain differences in sleep along socioeconomic lines. In a sample of adults, sleep environment factors were found to partially mediate links between SES and poor self-reported sleep quality in a diverse sample of adults [21].
Another possible mechanism that could link economic disadvantage and sleep is that lower-SES children's sleep may be compromised due to worries they have that prevent them from easily falling asleep. Nicassio, Mendlowitz, Fussell, & Petras [22] created the Pre-sleep Arousal Scale that separated arousal into somatic arousal (e.g., heart racing or stomach upset) and cognitive arousal (e.g., being distracted by sounds or worry about falling asleep). Associations between cognitive arousal at bedtime, including worry, and sleep disturbance have been demonstrated in children and adolescents. Alfano, Pina, Zerr, and Villalta [23] reported that greater cognitive (but not somatic) presleep arousal was associated with shorter sleep duration and more sleep problems reported by parents in an ethnically diverse sample of 7–14-year-olds. It is possible that youths who are economically disadvantaged experience greater levels of cognitive arousal as a result of greater exposure to daytime stressors. Economic disadvantage is associated with high levels of family stress and numerous specific stressors, including exposure to events that are unpredictable and uncontrollable, harsh discipline, and violence at home, school, or neighborhood [24]. However, no research has examined whether the higher rates of sleep disturbances in lower-SES children may be related to greater presleep worries in that population.
The aim of the current study was to explore novel possible mediators in relations between SES (as indexed by family income-to-needs ratio) and sleep in a community sample of children with a wide range of SES. Given the importance of examining multiple parameters via objective and subjective methods [25], sleep duration and quality (continuity/fragmentation and schedule) were assessed using actigraphy, and subjective sleep/wake problems and daytime sleepiness were assessed with a self-report questionnaire. Presleep worry and the sleep environment were examined with children's self-reports. We predicted that lower SES would be directly related to sleep and that both sleep environment conditions and greater presleep worries would function as mediating variables in the link between lower SES and more subjective and objective sleep problems.
Section snippets
Participants
The initial pool of participants consisted of 278 children and their parents who enlisted in a larger study examining biopsychosocial influences on health (Auburn University Sleep Study).
The study was approved by the Auburn University Institutional Review Board. The current investigation is based on data collected during the third study wave in 2011–2012. To recruit families, letters inviting participation were distributed to children at semirural public schools in the southeastern United
Plan of analysis
We examined environmental conditions and presleep worries as mediators in the association between the income-to-needs ratio and children's sleep. Five sleep parameters were examined: Actigraphy-derived sleep minutes, night waking duration, and variability in sleep schedule as well as self-reported sleep–wake problems and daytime sleepiness. Actigraphy-derived sleep efficiency (percentage of minutes scored as sleep between sleep onset and morning wake time) and long wake episodes (number of wake
Discussion
This study adds to a scant literature by exploring novel pathways linking lower SES to actigraphically derived and self-reported sleep problems during late childhood. The results showed a few direct associations between lower SES and sleep problems. Further, central to study hypotheses, models testing indirect effects indicated that increased exposure to disruptive sleep conditions and greater presleep worries serve as either mediators or intervening variables explaining some of the
Conflict of interest
The ICMJE Uniform Disclosure Form for Potential Conflicts of Interest associated with this article can be viewed by clicking on the following link: http://dx.doi.org/10.1016/j.sleep.2014.10.008.
Acknowledgments
The project described was supported by Grant Number R01HL093246 from the National Heart, Lung, and Blood Institute awarded to Mona El-Sheikh. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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