Mother-child bonding, environment, and motor development of babies at risk accompanied by a follow-up
Bibliographic record
Abstract
Abstract Objectives: to identify factors resulting from the correlation between mother-child bonding, environment, and infant motor development (MD). Methods: a cross-sectional study was conducted with 130 mothers/guardians and their infants at risk from 3 to 12 months of age, accompanied in an outpatient clinic follow-up at a public maternity. The data were collected using a form with socioeconomic data, mother/child routine at the hospital and home environments, and three other instruments validated in Brazil: Protocolo de Avaliação do Vínculo Mãe-Filho (Mother-Child Bonding Evaluation Protocol), Affordances in the Home Environment for Motor Development – Infant Scale, and Escala Motora Infantil de Alberta (Alberta Infant Motor Scale). Pearson's chi-square test, Fisher's exact test, and a significance level of 5% was used for the correlation. Results: the data showed a predominance of preterm babies (74.5%), low-income families (86.2%), and domestic opportunities below the adequate (93.8%) for good motor development. Regarding the mother-child bonding, 60% of the mothers showed a strong bonding with their children. A total of 62.3% of the children had typical motor development. Concerning the interaction between variables, statistical significance (p˂0.05) was observed in the correlation between bonding and typical motor development. Conclusion: despite the presence of risk factors, motor development was normal in most of the babies in this study, suggesting that the mother-child bonding favored motor development even with environmental and biological adversities.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".