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Record W7162096656 · doi:10.82308/31808

Gestational diabetes as a diabetes risk factor for the child

2017· dissertation· en· W7162096656 on OpenAlexaboutno aff
Andrea Blotsky

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsGestational diabetesDiabetes mellitusIncidence (geometry)Risk factorInsulin resistanceBirth weightCohortCohort studyHazard ratio

Abstract

fetched live from OpenAlex

Gestational diabetes (GDM) is associated with excess weight gain and insulin resistance in offspring. Less is known about the association between GDM and diabetes incidence in youth. While type 2 diabetes (T2D) is the subtype of diabetes most consistently associated with insulin resistance, there is evidence that among those at risk immunologically for type 1 diabetes (T1D), insulin resistance may accelerate or precipitate its manifestation. This MSc Project examined the association between maternal GDM and overall diabetes incidence in adolescents and young adults. A retrospective cohort study was undertaken using both health administrative databases and birth and death registry data from the province of Quebec. Cohort inception was from April 1, 1990 to December 31, 1998, and follow-up from age 12 years to March 31, 2012, the developmental period when insulin resistance typically emerges. Randomly-selected singleton live births between April 1, 1990 and December 31, 1998 complicated by GDM were eligible for inclusion. These were 1:1 matched to those without GDM (i.e., matching by year of delivery, mother's age-group, and health region).The primary exposure was GDM in mothers, defined as one hospital discharge diagnosis and/or two outpatient physician claims for GDM within 6 months of delivery. The primary outcome was incident diabetes in youth, defined as one hospital discharge diagnosis and/or two outpatient visit diagnoses within a 2-year time period. The relationship between GDM status and diabetes in offspring was evaluated through survival analysis (Cox proportional hazard models).A total of 36,762 children were studied (mean birth weight 3,364g (SD 582g) with maternal GDM; 3,342g (SD 556g) without GDM in mothers). In total, 147 children were diagnosed with diabetes between 12 years of age and 2012 (maximum age 22 years).Diabetes incidence in offspring of mothers with GDM was more than twice as high as diabetes incidence in offspring of mothers without GDM, in both unadjusted (HR 2.25, 95% CI 1.56, 3.25) and adjusted models (HR 2.12, 95% CI 1.41, 3.17; with adjustment for sex, gestational age, birth weight, maternal education, ethnocultural origin, maternal age, maternal history of previous pregnancy, and stillbirth) This work conclusively demonstrates that GDM in mothers is associated with diabetes in youth. T1D and T2D cannot be distinguished in health administrative databases in Quebec. Given that T1D represents approximately 90% of diabetes cases in youth, our findings indirectly support the accelerator hypothesis (i.e., T1D develops earlier in a context of insulin resistance). The association between GDM and T2D in youth may be underestimated. In light of its strong association with diabetes in youth and young adulthood, maternal GDM may thus serve as an indicator to guide future strategies aimed at diabetes prevention and early disease detection.

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)0.002
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 score0.175
Threshold uncertainty score0.348

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.326
Teacher spread0.308 · 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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