Adverse childhood experiences and dental cleaning during pregnancy: Findings from the North and South Dakota <scp>PRAMS</scp>, 2017–2021
Bibliographic record
Abstract
OBJECTIVE: Research demonstrates that adverse childhood experiences (ACEs)-that is, experiences of abuse, neglect, and household dysfunction-are related to lower preventive dental care utilization in childhood and adolescence. However, limited research has explored the connection between ACEs and preventive dental care utilization in adulthood, and no research has examined this relationship during pregnancy. The current study extends existing research by investigating the relationship between ACEs and dental cleaning and dental care utilization during pregnancy among a sample of women who delivered live births in North Dakota and South Dakota. METHODS: Data are from the 2017 to 2021 Pregnancy Risk Assessment Monitoring System (PRAMS) in North Dakota and South Dakota (n = 7391). Multiple logistic regression is used to examine the relationship between the number of ACEs (0, 1, 2, 3 or 4 or more) and dental cleaning during pregnancy. RESULTS: Relative to respondents with 0 ACEs, those with 4 or more ACEs were significantly less likely to report having dental care during pregnancy (OR = 0.757, 95% CI = 0.638, 0.898). By racial and ethnic background, the results showed that the significant associations are concentrated among White and Native American respondents. CONCLUSIONS: The results suggest that exposure to 4 or more ACEs is associated with a significantly lower likelihood of dental cleaning during pregnancy among women who delivered a live birth in North Dakota and South Dakota. Further investigations are necessary to understand the mechanisms underlying the relationship between ACEs and dental cleaning during pregnancy and replicate the findings in other geographic contexts.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".