Childhood poverty trajectories and trajectories of healthcare contacts in adolescence and young adulthood
Bibliographic record
Abstract
BACKGROUND: In this longitudinal study on Danes born 1980-2000, the objectives were to identify and describe trajectories of childhood poverty and explore their association with trajectories of contacts with the healthcare system. METHODS: Children born in Denmark from 1980-2000 were linked to national registers. Parental disposable income information was obtained for each year of the child's life from 0-16 years. Group-based trajectory modeling was used to identify trajectories of childhood poverty. The outcome was trajectories of contacts with the healthcare system identified with group-based multi-trajectory modeling. The associations between childhood poverty trajectories and trajectories of contacts with the healthcare system were estimated using multinomial logistic regression. RESULTS: Four distinct groups of childhood poverty trajectories were identified. The largest group (87 %) had very low probability of childhood poverty, and the smallest group (2 %) had high probability of persistent poverty throughout childhood. Two groups experienced either early (5 %) or late (6 %) poverty in childhood. Early and late childhood poverty were associated with higher odds of being in the psychiatric use group in both sexes, and with higher odds of being in the low use and high use groups in women. Persistent poverty was associated with higher odds of being in the low use group and lower odds of being in the high use group and the psychiatric use group in both sexes. CONCLUSION: In conclusion, childhood poverty is associated with healthcare contacts in adolescence and early adulthood in Denmark.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".