Neonatal morbidity among macrosomic infants in the James Bay Cree population of northern Quebec
Bibliographic record
Abstract
Gestational diabetes mellitus (GDM) and infant macrosomia are important obstetric health concerns for Aboriginal populations in Canada. Previous research in non-Aboriginal populations has established that GDM and macrosomia are associated with increased risk of fetal morbidity. Specifically, GDM is a risk factor for infant macrosomia, hypoglycemia, polycythemia, hypocalcemia, and hyperbilirubinemia. Furthermore, macrosomia is an independent risk factor for shoulder dystocia, clavicular fracture, brachial plexus injury, birth asphyxia and operative delivery. The main objectives of this study were to determine prevalence rates of GDM and macrosomia related neonatal complications for the James Bay Cree population of northern Quebec, and to identify risk factors for specific birth trauma injuries and metabolic complications in the population. The prevalence of macrosomia (≥4500 g) was 10.4%, and the estimated prevalence of GDM was 16.6% (95% CI 14.6-18.6) (n = 229/1379). Shoulder dystocia was the most common birth trauma event among the Cree, affecting 2.5% (n = 42/1650) of all Cree births, and 9.3% (n = 16/172) of macrosomic deliveries ≥4500 g. The prevalence of neonatal hypoglycemia was also high, affecting 8.8% (n = 144/1650) of all Cree newborns, and 18.1% (n = 34/192) of GDM deliveries. Macrosomia (BW ≥ 4500 g) was a significant risk factor for shoulder dystocia, clavicular fracture, hypoglycemia, and caesarean section delivery. After adjusting for maternal age, parity, and gestational age, GDM was identified as a significant risk factor for macrosomia (≥4500 g), hypoglycemia, polycythemia, and hypocalcemia. In summary, this study identified a high incidence of neonatal complications among the James Bay Cree compared with rates in the general North American population. These outcomes can be explained, in part, by high prevalence rates of gestational diabetes and infant macrosomia. Further studies to investigate the long-term consequences of GDM and
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 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".