The perinatal and childhood outcomes of children born to Indigenous women with mental health problems: A scoping review
Bibliographic record
Abstract
Abstract Purpose Maternal mental health problems are common during the perinatal period and have been associated with several negative outcomes in children. However, few studies have examined these associations among Indigenous people, and the findings across these studies have been inconsistent. This scoping review comprehensively examined the perinatal and childhood (≤ 12 years) health and development outcomes of the children of Indigenous women with perinatal mental health problems. Methods Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines, Medline, CINAHL, PsycINFO, Joanna Briggs Institute, Wed of Science, Scopus, and other databases were searched electronically for studies examining the associations between any perinatal maternal mental health problems and perinatal and child outcomes among the Indigenous population of Australia, Canada, New Zealand, and the USA. Two authors reviewed studies for inclusion. Results Of 2,038 records identified, 11 were eligible. One of four studies that evaluated the associations between maternal depression, stress, and anxiety problems, and perinatal and childhood behavioural outcomes found a negative association. Six of seven studies (five used similar cohort data) that examined the associations of maternal substance use disorder and several perinatal and childhood outcomes found at least one negative association. Conclusions Maternal substance use disorder appears to be associated with adverse perinatal and childhood outcomes among the Indigenous population. However, there is preliminary evidence for the other common maternal mental health problems. Further research is therefore critically required to draw definitive conclusions regarding the impact of maternal mental health problems on the perinatal and childhood outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".