Health status, cognitive and motor development of young children adopted from China, East Asia, and Russia across the first 6 months after adoption
Bibliographic record
Abstract
We compared health status, anthropometric and psychological development of 123 children adopted before 18 months of age from China, East Asia (Vietnam, Taiwan, Thailand, South Korea, Cambodia), and Eastern Europe (mostly Russia). Data were collected close to the time of arrival, and 3 and 6 months later. Anthropometric measures included weight, height, and head circumference percentiles, and weight/height and height/age ratios (indices of acute and chronic malnutrition, respectively). We assessed cognitive (MDI) and motor (PDI) developments with the Bayley Scales of Infant Development (Bayley, 1993). At time of arrival, children presented physical, cognitive, and motor delays, as well as health problems. Growth parameters improved with time, but differently among the groups. East Asian children, in a better physical state at time of arrival, changed less than the others did across time. Children adopted from Russia globally had lower MDI than the others, while children adopted from East Asia had the highest PDI. Hierarchical linear modelling indicated that initial MDI was related to height/age ratio (index of chronic malnutrition), while its change over time was related to age at time of arrival. PDI was also related to height/age ratio, as well as to presence/absence of neurological signs at time of arrival. Infants with a higher risk index had lower MDI and PDI initial scores.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".