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Evaluation of pregnancy outcomes among food insecure women attending the Montreal Diet Dispensary program

2017· article· en· W4389020795 on OpenAlexaffabout
Véronique Ménard, Hope A. Weiler

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineGestational diabetesLow birth weightObstetricsPregnancyBirth weightDispensaryMarital statusGestational ageAnemiaPediatricsGestationPopulationFamily medicineEnvironmental health

Abstract

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Introduction Prenatal nutrition programs for women of low socio‐economic status, including the Higgins' intervention, have been successful in reducing the rate of low‐birth weight (LBW) as well as preterm births (PTB). Little is known as to the efficacy of such programs among visible minority and/or newly immigrated women of low socio‐economic status. Objective To determine if the Higgins' intervention was as effective at reducing pregnancy complications among women of visible minority compared to White women, as well as among immigrant women compared to those born in Canada. Methods The program evaluation was done using an electronic database from June 2013 to December 2015 with data on 1387 pregnancies available. Demographic information, including country of birth, time of arrival in Canada, marital status and maternal education, were self‐reported at patient's registration at 20.4 ± 7.0 weeks gestation. Pregravida weight was self‐reported, weight was then measured biweekly visit until birth. Anemia, gestational diabetes (GDM) and gestational hypertension were ascertained using copies of medical reports. Infant birth weight was collected from the vaccination booklet and Kramer's growth curve reference was used to assess size at birth. Women who were eligible to participate into the program had lower family income than the budget for basic needs determined by the Dispensary. Results Compared to Canadian‐born women, immigrants had similar odds of developing adverse perinatal outcomes such as preterm births (PTB), small‐for‐gestational age (SGA) and low‐birth‐weight (LBW) infants, gestational diabetes, maternal anemia and gestational hypertension. However, differences between ethnicities and immigration duration were observed. Black women were more at risk of having a PTB (adjusted odd ratio (aOR)=1.79, 95%CI: 1.01, 3.19) compared with White women, with African women mostly contributing to the increased risk (aOR= 2.67, 95%CI: 1.44, 4.90). Black women had higher anemia prevalence and gestational hypertension (aOR= 2.23, 95%CI: 1.18–4.21) than White women. Asian women had an increased risk of having a SGA infant (aOR=2.35, 95%CI:1.21, 4.56;) and GDM (aOR=1.86, 95%CI: 1.17, 2.98) compared to White women. When comparing women by region of birth, this risk was particularly higher among women from South Asia who had 2.88‐times the risk of developing GDM (2.88, 95%CI: 1.03, 8.07) compared to North Americans (Canada and USA). Anemia rates were also higher among those who immigrated to Canada more than 5 years before the assessment (5–10 y aOR= 1.99, 95%CI: 1.05, 3.78; > 10 y aOR=2.01, 95%CI:1.01, 3.99) compared to Canadian‐born. Conclusion The Higgins' intervention supported perinatal health in immigrants, but disparities were still present for Black and Asian women. Earlier nutritional intervention, prioritization of high risk groups of women and adaptation of the intervention would be needed to further reduce outcomes discrepancies among this vulnerable population. Support or Funding Information Canadian Foundation for Dietetic Research (CFDR)

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)0.002
metaresearch head score (Gemma)0.006
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 score0.394
Threshold uncertainty score0.793

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.062
GPT teacher head0.356
Teacher spread0.293 · 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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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