Childhood maltreatment and adulthood poor sleep quality: a longitudinal study
Bibliographic record
Abstract
BACKGROUND: 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. AIM: To determine the association between childhood maltreatment and lower sleep quality after adjusting for potential confounders. METHODS: Data for the present study were obtained 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 in 1981-1983. Participants completed the Pittsburgh 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 was used to test whether childhood maltreatment predicted lower sleep quality after adjustment for selected confounders. RESULTS: 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. Not being married, living in a residential problem area, cigarette smoking and internalising were significantly associated with lower sleep quality in a fully adjusted model for the male-female combined sample. CONCLUSIONS: 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 sleep problems occurring in young adults. Poor sleep quality was accounted for by concurrent social disadvantage, cigarette smoking and internalising.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".