A Comparison of the Smoking Outcomes of Self-reported and Agency-Notified Child Abuse in a Population-Based Birth Cohort at 30-Year-Old Follow-up
Bibliographic record
Abstract
INTRODUCTION: Retrospective studies show a strong association between self-reported child abuse and subsequent tobacco use. Prospective studies using reports to statutory agencies are less common with limited information on people in their 30s. In addition, there have been no comparisons of the effect of self- and agency-reported abuse on smoking. We therefore assessed the effect on the prevalence and persistence of smoking at the 30-year-old follow-up of prospective agency notifications of child abuse compared to retrospective self-reports of maltreatment in the same birth cohort. METHODS: There were 2443 young adults with data on smoking and child abuse at 30-year-old follow-up. Information on self-reported abuse was collected using the Child Trauma Questionnaire (CTQ) and linked to notifications of child maltreatment to statutory agencies. RESULTS: The prevalence of self- and agency-reported maltreatment was 600 (24.7%) and 142 (5.8%), respectively. At follow-up, 565 participants smoked (23.1%) but only 91 (3.8%) smoked 20 or more cigarettes a day. Of the 206 participants who smoked at 14 years, 101 were still smoking at follow-up. On adjusted analyses, both self- and agency-reported maltreatment showed a significant association with the prevalence and persistence of smoking from 14 years old. However, associations were weaker for some of the agency-notified child maltreatment subtypes possibly because of lower numbers. CONCLUSIONS: Child maltreatment is associated with both an increased prevalence and persistence of smoking at 30-year-old follow-up irrespective of reporting source. This is despite self- and agency-reported maltreatment possibly representing different populations. Smoking cessation programs should therefore target both groups. IMPLICATIONS: Retrospective studies show an association between self-reported child abuse and subsequent tobacco use. Prospective studies of reports to statutory agencies are less common with limited information on people in their 30s. In addition, there have been no comparisons of self- and agency-reported abuse on smoking outcomes even though they may represent different populations. We therefore compared the effect of both on smoking outcomes at 30-year-old follow-up of 2443 adults from the same birth cohort. On adjusted analyses, both self- and agency-reported maltreatment showed significant associations with the prevalence and persistence of smoking. Smoking prevention and cessation programs should therefore target both groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".