Relationship between child sleep disturbances and maternal sleep, mood, and parenting stress: A pilot study
ABSTRACT Although sleep disturbances in children are common, little is known about the relationship between children's sleep disruptions and maternal sleep and daytime functioning. Forty-seven mothers completed measures of sleep, depression, parenting stress, fatigue, and sleepiness. Significant differences in maternal mood and parenting stress were found between mothers of children with and without significant sleep disturbances. Regression analyses showed that the quality of the children's sleep significantly predicted the quality of maternal sleep. In addition, maternal sleep quality was a significant predictor of maternal mood, stress, and fatigue. Results from this pilot study support the need for future research examining the relationship between child sleep disturbances and maternal daytime functioning, and they highlight the importance of screening for and treating pediatric sleep disruptions.
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ABSTRACT: The aim of this study was to identify, using cluster analysis, novel sleep phenotypes in a population based cohort of infants, and to explore the associations between infant sleep profiles and their mothers' health and well-being. 11,134 mothers of 9-month old infants were interviewed as part of the Growing Up in Ireland National Longitudinal study and reported on their health and infant's sleep patterns. 16 infant sleep variables were recorded together with measures of parental stress, depression, health and well-being. Multiple iterations of a two-step hierarchical cluster analysis were carried out to identify the optimum number of clusters and the subset of parental-reported sleep variables required to identify distinct sleep profiles. Four distinct sleep profiles were identified based on the following variables; (1) infant sleep duration at night, (2) parental sleep duration, (3) does baby wake during night (yes, no)? (4) Usual sleep location for most of the night and, (5) parental reporting of problem infant sleep patterns. This identified two less favorable profiles with both infants and mothers sleeping less and where mothers are more likely to report their infants' sleep patterns as problematic. Mothers of infants belonging to these sleep profiles were more likely to have higher levels of stress, depressive symptoms, and poorer self-reported health than other sleep profiles. Breastfeeding was associated with both groups and rates were highest in a group of infants that were more likely to co-sleep with their parents and have diverse ethnic backgrounds. This study demonstrates, for the first time, two infant sleep profiles with distinct phenotypical frameworks that are significantly associated with maternal stress, depression, and poorer self-report of health.Maternal and Child Health Journal 02/2015; DOI:10.1007/s10995-015-1701-6 · 2.24 Impact Factor
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ABSTRACT: INTRODUCTION Proper sleep is an important factor associated with the physical and mental health of chil-dren. Numerous studies have reported poor sleep quality to be related to school performance, physical/mental development, behavior, and cognition. 1,2 Children's sleep may be influenced by a variety of factors, such as health status, stressful events, home sleeping environment, sleep-ing conditions, parental relationships, and usage of media devices. 3-5 Psychological factors, in-cluding the child's mood state, anxiety, depressive symptoms, and psychiatric illnesses such as generalized anxiety disorder, oppositional defiant disorder, and attention deficit hyperactivity disorder can also negatively affect the quality of children's sleep and sleep problems. 6,7 Temperament is a characteristic of an individual's nature, and its use originates from the ancient psychobiological concept of the four humors. Temperament can affect a child's mood, emotional regulation, adaptability, activities, and inhibition. 8-10 In addition, various mental and physical illnesses have been reported to be predisposed or predicted by temperament. 11,12 However, few studies have evaluated the association between temperament and sleep prob-lems in children. When a child's emotions, mood status, or physical condition affects sleep problems, we can only speculate that the temperament of the child is related to the sleep problem. Sleep problems can impact behavior and social relatedness. It is well known that sleep dis-turbances, such as sleep-disordered breathing, can make children hyperactive or inattentive. 13 Good sleep can help children to improve their social skills and peer acceptance. 14 We hypoth- Background and ObjectiveaaChildren's sleep habits are important for their health and development. Here, we investigated the rela-tionship between sleep habits, behavior, personality, and social responsiveness in children.
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ABSTRACT: To assess the daily concordance between parent and adolescent daily sleep habits, how that concordance compares to other predictors of sleep, and whether the degree of concordance varies across families. A total of 421 adolescents (Mage = 15.03 years) and their primary caregivers (Mage = 41.93 years) reported their sleep, bed, and wake times on a daily basis for a 2-week period. Approximately 80% of the sample repeated the same protocol 1 year later. Multilevel modeling indicated a significant concordance between parent and adolescent sleep, bed, and wake times on a daily basis. Concordance existed independent of other predictors of sleep such as day of the week and adolescent study time. Larger families and those with higher levels of parent-adolescent support exhibited greater concordance. Adolescent sleep is connected to the sleep habits of their parents, above and beyond commonly known structural and experiential factors that can shape teenage sleep. Efforts to improve teenage sleep should pay greater attention to the sleep patterns of parents and potentially other family members. Copyright © 2015 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.Journal of Adolescent Health 02/2015; 56(2):244-50. DOI:10.1016/j.jadohealth.2014.09.013 · 2.75 Impact Factor