Vitamin D levels and influencing predictors in refugee children in Sherbrooke (Quebec), Canada
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Suboptimal vitamin D levels and associated complications are on the rise. Vulnerable populations, like refugee children, are further at risk. Studies on the vitamin D levels in refugee children are limited. The primary objective of this cross-sectional retrospective study was to determine the level of serum 25-hydroxyvitamin D (25-(OH)D) in the paediatric refugee population residing in Sherbrooke, Quebec, Canada. The secondary objective was to determine variables predicting vitamin D levels. METHODS: Refugees under the age of 19 years arriving in Sherbrooke, Quebec, Canada, evaluated by the refugee clinic between March 2013 and April 2014, were included in the study. Vitamin D levels upon arrival and variables including age, sex, body mass index, season of arrival and season of test, ethnicity, previous country of residence and duration of stay in Canada from time of arrival were recorded. The protocol was approved by the scientific and ethics board of respective institutions. RESULTS: A total of 138 subjects were included in the study from the Middle East, Central Asia and South East Asia, Africa and South America. The mean 25-(OH)D serum value was 55 nmol/L (insufficient). Fourteen per cent of subjects were vitamin D deficient and 64% were vitamin D insufficient as per Canadian Paediatric Society threshold guidelines. Gender (P=0.022), age (P<0.001), latitude (P<0.001) and season of testing (P=0.022) predict vitamin D status. CONCLUSIONS: This study concluded that refugee children have insufficient vitamin D levels. Gender, age, latitude and season of testing have an impact in predicting vitamin D status.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".