Available evidence from cross-sectional studies suggests that childhood maltreatment may be associated with a range of sleep disorders. However, these studies have not controlled for potential individual, familial and environmental level confounders.
To determine the association between childhood maltreatment and lower sleep quality, after adjusting for potential confounders.
Data for the present study are from a pre-birth cohort study of 3778 young adults (52.6 % female) of the Mater Hospital-University of Queensland Study of Pregnancy follow-up at a mean age of 20.6 years. The Mater Hospital-University of Queensland Study of Pregnancy is a prospective Australian pre-birth cohort study of mothers consecutively recruited during their first obstetric clinic visit at Brisbane's Mater Hospital, 1981-83. Participants completed the Pittsburg Sleep Quality Index at the 21-year follow-up. We linked this dataset to agency recorded substantiated cases of childhood maltreatment. A series of separate logistic regression models were used to test whether childhood maltreatment predicted lower sleep quality after adjustment for selected confounders.
Substantiated physical abuse significantly predicted lower sleep quality in males. Single and multiple forms of childhood maltreatment including age of maltreatment and number of substantiations did not predict lower sleep quality in either gender in both crude and adjusted models. Being never married, living in a residential problem area, cigarette smoking and internalising were significantly associated with lower sleep quality in fully adjusted model for the male-female combined sample.
Childhood maltreatment does not appear to predict young adult poor sleep quality, with the exception of physical abuse for males. While childhood maltreatment has been found to predict a range of mental health problems, childhood maltreatment does not appear to predict young adult occurring sleep problems. Poor sleep quality was accounted for by concurrent social disadvantage, cigarette smoking and internalising.
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2018.
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