How does household composition affect a child's sleep?

Answer from top 10 papers

Household composition can significantly affect a child's sleep quality and patterns. Mihaila and Hartley (2016) highlights that children from low-income families, which may have different household compositions compared to higher-income families, tend to experience shorter sleep durations and later bedtimes. The study suggests that suboptimal sleep environments, which can be a result of household conditions such as room sharing or sleeping on the floor, are associated with poorer sleep quality in low-income preschool children. Rönnlund et al. (2016) further elaborates on the influence of parental sleep behaviors on children, indicating that late bedtimes and sleep end times in parents are associated with similar patterns in their children, especially when sharing a bedroom. This suggests that the timing of bedtimes within the household can be a crucial factor affecting a child's sleep.
Interestingly, Ricci et al. (2020) provides evidence that a consistent bedtime routine and sleeping through the night are predictive of better cognitive and behavioral development in children, implying that household routines and stability are important for children's sleep. Additionally, Chung et al. (2014) discusses the moderating effects of sleep quality on the relationship between child victimization and pediatric quality of life, indicating that household dynamics that lead to victimization can also disrupt sleep and, consequently, affect a child's well-being.
In summary, household composition and dynamics, including socioeconomic status, bedtime routines, and environmental conditions, play a significant role in shaping a child's sleep quality and patterns. Consistent bedtimes and stable sleep environments within the household are associated with better sleep outcomes for children, which in turn can influence their cognitive and behavioral development (Chung et al., 2014; Mihaila & Hartley, 2016; Ricci et al., 2020; Rönnlund et al., 2016).

Source Papers

The Work–Family Interface and Sleep Quality

ABSTRACTObjective: This article investigated whether work-to-family conflict (WFC) and work-to-family enrichment (WFE) were associated with employee sleep quality. WFC and WFE reflect the potential for experiences at work to negatively and positively influence nonworking life respectively, and may have implications for sleep quality. In this article, we examined whether WFC and WFE were linked with sleep quality via hedonic balance (i.e., positive affect relative to negative affect). Participants: The sample included 3,170 employed Australian parents involved in the Household Income and Labour Dynamics in Australia (HILDA) Survey. Methods: Information on WFC, WFE, hedonic balance, sleep quality, and relevant covariates was collected through a structured interview and self-completion questionnaire. Results: WFC was associated with poorer sleep quality (β = .27, p < .001), and this relationship was stronger in males than females and in dual parent–single income families. WFC was also found to be indirectly associated with poor sleep quality via a lower hedonic balance (β = .17, 99% confidence interval [.14, .20]). WFE was not directly associated with sleep quality, but was indirectly associated with better sleep quality via a higher hedonic balance (β = –.04 [–.07, –.02]). Conclusions: These results indicate that aspects of the work–family interface are associated with employee sleep quality. Furthermore, affective experiences were found to link WFC and WFE with sleep quality. Workplace interventions that target WFC and WFE may have implications for employee sleep.

Poor Parental Sleep and the Reported Sleep Quality of Their Children.

Pediatric sleep disturbances are regularly diagnosed on the basis of parental reports. However, the impact of parental sleeping problems on parental perceptions and reports of their child's sleep has not yet been studied. We hypothesized that poor parental sleep decreases the parent-reported child sleep quality. A 1-week actigraph recording was performed in 100 children aged 2 to 6 years recruited in 16 day care centers. Their biological parents completed a sleep diary and a Sleep Disturbance Scale for Children (SDSC) on children's sleep. The parents also completed the Jenkins' sleep scale on their own sleep, the 12-item General Health Questionnaire, and questions on demographic factors. Linear regression analyses were performed to study the association of the parental Jenkins' score on their child's total SDSC score. Analyses were also performed for 3 of the subscales of the SDSC: disorders of excessive somnolence, disorders of initiating and maintaining sleep, and sleep-wake transition disorders. Parental sleeping problems were associated with more frequent reporting of children's sleeping problems. This association was unexplained by the actigraph measures of children's sleep, such as actual 24-hour sleep time and sleep efficiency, parental mental health problems, or any other tested potential confounder or mediator. Similar correlations were seen for the 3 analyzed subscales. Parental sleep quality was associated with overreporting of sleep problems in their children. This finding emphasizes the importance of considering parental sleep quality in the diagnosis, treatment, and research of pediatric sleeping problems.

The sleeping patterns of Head Start children and the influence on developmental outcomes.

Sleep has a significant influence on children's development. The objective of this study was to investigate Head Start children's sleeping patterns and the impact on cognitive and behavioural outcomes. Using the 2009 cohort of the Head Start Family and Child Experiences Survey (N=2,868), information on sleeping patterns was assessed through parent interviews. Cognitive outcomes were assessed using direct assessments (Peabody Picture Vocabulary Test-IV, the Expressive One-Word Picture Vocabulary Test, and Subtests of the Woodcock-Johnson III) in addition to teacher report. Behavioural outcomes were assessed through parent and teacher reports. A multiple regression analysis was performed for each outcome variable. Descriptive findings showed that 89% of children had a regular bedtime at least 4days per week and that the average amount of sleep per night was 10.41hr. White mothers were more likely than other racial groups to adhere to a consistent bedtime, and maternal employment predicted less hour of sleep per night. Multiple regression analyses revealed that disrupted sleep had a negative influence on cognitive outcomes, especially in areas of mathematical problem solving, receptive language, teacher-reported literacy behaviours, and approaches to learning. Disrupted sleep was associated with the risk of misbehaviour by increasing teacher and parent ratings on aggressive behaviours, hyperactivity, and withdrawing in addition to decreased scores on overall social skills. Having an inconsistent bedtime negatively predicted expressive vocabulary and teacher-reported literacy behaviours. The findings of this study support the influential role of sleep on children's development. Sleeping through the night and having a consistent bedtime were found to be predictive of many areas of cognitive and behavioural development. Head Start staff can provide the supports to increase parental knowledge on appropriate child sleep practices.

Associating sleep quality, quality of life and child poly-victimization

BackgroundThe role of sleep deprivation in the relationship between child poly-victimization and pediatric quality of life (PedsQL) has received little attention. ObjectiveThis study aims to provide a profile of the association between child victimization and poly-victimization and PedsQL among children, examining the role of sleep quality patterns in these relationships. Participants and settingWe conducted a cross-sectional school survey study of family structure and child victimization among families in Hong Kong in 2016–17 with two-stage stratified sampling. The final sample consisted of 5, 567 students recruited from a representative sample of 107 kindergartens, primary schools, and secondary schools in all districts of Hong Kong. MethodsMulti-phase regression analysis and simple slope analysis were conducted to examine the moderating effects of sleep quality between child victimization and PedsQL. ResultsThe findings showed that children who experienced four or more types of victimization were more likely to show parasomnia and daytime dysfunction symptoms than those experiencing one to three types of victimization and non-victims. It also revealed significant relationships between child poly-victimization and lower levels of PedsQL, which were moderated by parasomnia and daytime dysfunction. ConclusionsThis study has implications for clinicians in targeting the pattern of sleep changes combined with holistic screening in outpatient services for early detection of child poly-victims.

The Parent's Chronotype and Child's Sleeping Quality in Association with Relationship Satisfaction.

The prospective Ulm-SPATZ study was investigated to assess the role of child sleeping quality between 4 to 6 years of age in affecting a partner’s sleeping and relationship satisfaction within a couple. The study was conducted using a triadic approach in which the child was included in the Actor-Partner-Interdependence Model (APIM). Sleeping quality of the child was determined by using the German version of the children’s sleep habits questionnaire, sleeping features of the parents were assessed by using the Munich chronotype questionnaire, and the partner relationship assessment was performed by employing the German version of the parenting stress index questionnaire. In 211 German triads, we observed that sleeping characteristics and partner relationship scores at different child ages are consistent for both men and women. Higher and statistically significant sleep duration, time spent in bed, the midpoint of sleep, time getting out of bed, and sleep onset in women compared to men during the working days were observed. The APIM analyses showed a significant direct effect of child sleep quality on the partner relationship satisfaction. In women, a mediated effect of child sleep quality acted through sleep duration and time spent in bed on the partner relationship satisfaction score during both free and working days. In men, low child sleep quality was found to be associated with increased sleep onset during both free and working days. Child sleep quality influences relationship satisfaction mostly in mothers, likely because of their higher involvement in childcare during working days. Distress in the couple could be counteracted by a major involvement of the fathers in child management.

Open Access
Home Sleeping Conditions and Sleep Quality in Low-Income Preschool Children

Proper sleep is important for children’s behavior, development, and optimal health.1,2 Environmental conditions, such as household size, socioeconomic status, noise, or brightness of the sleeping area could easily influence children’s sleep patterns.3,4 Children from low-income, as opposed to higher-income families tend to have shorter sleep duration, later bedtimes, and reduced opportunities for sleep.5-7 The ways in which household conditions in low-income families may be associated with children’s sleep are not well known. We recently reported that suboptimal sleep environments (sleeping in a place that is “too loud”, “too bright”, “too hot”, or “too cold”) were associated with shorter sleep durations and later times that low-income children fell asleep at night.8 However, it remains unknown whether sleep conditions and environments, such as room or bed sharing, sleeping on the floor, couch or chair, or media use in the bedroom among lowincome families may be related to children’s sleep quality beyond sleep durations and fallasleep times. Further understanding of the associations between sleep conditions in the home and sleep quality could contribute to the design of better interventions to improve children’s sleep quality and reduce existing sleep disparities.9 The aim of this study, therefore, was to test the hypothesis that home sleeping conditions are associated with poor sleep quality among low-income preschool children. Received: October 22, 2014 Revised: December 3, 2014 Accepted: December 16, 2014

Open Access
A Moderated Mediation Model of the Relationship between Family Dynamics and Sleep Quality in College Students: The Role of Big Five Personality and Only-Child Status.

Sleep quality among college students is affected by numerous factors. Previous studies have linked sleep quality to family dynamics as well as personality. However, little is known about the mechanisms underlying this relationship. The aim of this study is to incorporate a moderated mediation model to explore the big five personality traits in mediating the relationship between family dynamics and sleep quality and whether this indirect relationship is modified by only-child status among Chinese undergraduate students. Survey data were collected from a cross-sectional study conducted in Shandong, China and 1022 undergraduate students aged 18–24 were recruited. The mediation and moderated mediation modeling analyses were carried out with the software SPSS PROCESS macro. After controlling for gender and grade, mediation analysis indicated that conscientiousness and agreeableness of the big five personality traits partially mediated the link between family dynamics and sleep quality (β = −0.0093, CI: −0.0178, −0.0018; β = −0.0047, CI: −0.0084, −0.0013), and moderation analysis found only-child status acted as a moderator in the relationship between family dynamics and the agreeableness of the big five personality traits (only child, β = −0.0129, CI: −0.0196, −0.0072; non-only-child, β = −0.0040, CI: −0.0078, −0.0002). Results showed that family dynamics positively predicted sleep quality both directly and indirectly via the conscientiousness and agreeableness of big five personality traits. Only-child status moderated the indirect association between family dynamics and agreeableness of big five personality traits. The current study advanced our understanding of the mechanism underlying the connection between family dynamics and sleep quality and helped to develop intervention measures to improve sleep quality of college students.

Open Access