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Record W3171537371 · doi:10.82308/18066

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

2017· article· en· W3171537371 on OpenAlexaboutno aff
Véronique Ménard

Bibliographic record

VenueeScholarship@McGill (McGill) · 2017
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
Fundersnot available
KeywordsDispensaryMedicinePregnancyEnvironmental healthIntervention (counseling)Family medicineObstetricsGynecologyNursing

Abstract

fetched live from OpenAlex

Since 1950, the Montreal Diet Dispensary has been aiming to reduce health inequalities among pregnant women with low socio-economic status through a nutritional support program called the Higgins' intervention. In the past, the intervention was shown to be successful in reducing the rate of low-birth weight (LBW) as well as preterm births (PTB). The objective of this thesis was to conduct an outcome evaluation of the Higgins' intervention in a changing demographic population predominantly composed of visible minority and newly immigrated women. The program evaluation was done using an electronic database established in June 2013 where 1387 pregnancies were analyzed. The rate of LBW was 4.18% (95% confidence interval (CI): 3.13, 5.24), small-for-gestational age (SGA) 5.47% (95%CI: 4.28, 6.68) and PTB was 4.76% (95%CI: 3.64, 5.88). The prevalence of these outcomes were considered significantly lower than the Canadian statistics as all CIs did not overlap. Large-for-gestational age rate was 10.60% (95%CI: 8.98, 12.22) which was significantly higher than Montreal but similar to the Canadian rate. Prevalence of maternal outcomes were 17.15% (95%CI: 15.05, 19.25) for gestational diabetes (GDM), anemia was 44.88% (95%CI: 41.90, 47.86) and hypertension (HTN) was 3.82% (95%CI: 2.81, 4.83). Immigrants had similar odds of developing adverse perinatal outcomes as Canadian-born women. Black women were more at risk of having a PTB (adjusted odd ratio (aOR)=1.79, 95%CI: 1.01, 3.19) with African women mostly contributing to the increased risk (aOR=2.67, 95%CI: 1.44, 4.9). Anemia prevalence was also significantly higher in Black women compared to White (aOR=1.74, 95%CI: 1.29, 2.35). Anemia rates were higher among immigrants who were in Canada for more than 5 years (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. 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. 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. The Higgins' intervention supported infant health as evidenced by lower infant complications, but disparities in birth outcomes were still present in this high risk population. As evidenced by high prevalence rates, the late nutritional intervention did not contribute to the prevention of anemia and GDM. 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.

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)0.005
metaresearch head score (Gemma)0.012
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 score0.621
Threshold uncertainty score0.754

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.177
GPT teacher head0.426
Teacher spread0.248 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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