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Record W2803979508 · doi:10.1093/pch/pxy054.105

CHARACTERISTICS OF ANEMIA AND IRON STATUS AND THEIR ASSOCIATIONS WITH BLOOD MANGANESE AND LEAD AMONG CHILDREN AGED FROM 3 TO 19 YEARS OLD FROM FOUR NORTHERN FIRST NATION COMMUNITIES IN QUEBEC

2018· article· en· W2803979508 on OpenAlexaffabout
Emad Tahir

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAnemiaMedicineHemoglobinIron-deficiency anemiaAnthropometryIron deficiencyFerritinEnvironmental healthPediatricsInternal medicine

Abstract

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Abstract BACKGROUND Prevalence of anemia and iron deficiency (ID) are higher among indigenous children in Canada, although few data are available in Quebec. Iron is metal that interact with the absorption of manganese (Mn) and Lead (Pb) cobalt (Co). ID is known to upregulate these metals, thereby increasing their absorption, concentration inside the body and their toxicity. OBJECTIVES The objectives of the present study are to: (i) Characterize ID and anemia prevalence and their protective/risk factors; and (ii) Study associations between blood Mn, Pb and iron status biomarkers. DESIGN/METHODS Data from The 2015 First Nation Youth Health and Environment Pilot Study was conducted among children (3 to 19 y, n = 198) from four First Nations communities in Quebec will be used in these study where, blood samples and anthropometric measures were collected, hemoglobin was measured on site using an Hemocue analyser. Protective/risk factors including education, food security, housing conditions and lifestyle and dietary habits were documented using interview-administered questionnaire to children’ parents. Serum ferritin and blood Pb, Mn, Co, Zn and Ca were measured by Modular P analyser and ICPMS. Descriptive and multiple regression statistical analyses adjusting for relevant co-variables were used. RESULTS Results showed ID and anemia prevalence of 20.7% and 17.6% respectively, among which 8.8% presented iron deficiency anemia. Moreover, up to 11.9% had elevated blood Mn (median = 15.9 µg/L, range 7.1 to 31.9 µg/L) of which 27.5% presented ID. However, blood Pb was low (median = 5.4 µg/L, range 1.8 to 50.8 µg/L). Multiple logistic regression analysis showed that crystal juice intake was associated with lower ID and anemia (OR (95%): 0.50 (0.30 - 0.82) and 0.47 (0.26 - 0.87) respectively) in girls. Likewise, the presence of hunter in the household was associated with lower anemia in girls (0.09 (0.02 - 0.53)). No factors were associated with ID in boys, and for anemia, lower serum ferritin and older age was associated with higher prevalence of anemia (1.08 (1.01 - 1.14) and 1.23 (1.02 - 1.48) respectively). In adjusted models, blood Mn was negatively associated with serum ferritin concentrations (ß = -0.05; p < 0.02) in girls and positively associated with blood Co (ß = 8.50; p < 0.01) in boys. CONCLUSION Findings on high prevalence of ID, anemia and elevated blood Mn among children form these First Nation communities support that, community and family activities increasing traditional foods consumption improve nutritional status and suggest that foods and beverages naturally rich in vitamin C - but lower in added sugar than crystal juice - would improve iron intake in girls, which would contribute to improve their iron status, decrease anemia and restore normal Mn blood levels.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.011
GPT teacher head0.225
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes2
Has abstractyes

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