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Record W7074147010

Re-evaluation of link between interpregnancy interval and adverse birth outcomes: Retrospective cohort study matching 2 intervals per mother

2014· other· en· W7074147010 on OpenAlexaff

Bibliographic record

VenueUWA Profiles and Research Repository (UWA) · 2014
Typeother
Languageen
FieldMedicine
TopicGestational Trophoblastic Disease Studies
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsRetrospective cohort studyInterval (graph theory)Matching (statistics)Confidence intervalCohort studyAdverse effect
DOInot available

Abstract

fetched live from OpenAlex

The time interval between pregnancies is a modifiable risk factor of adverse birth outcomes, including preterm birth, small for gestational age (SGA), and low birth weight. Variations in birth outcomes might be explained by risk factors that vary greatly among women but tend to persist between pregnancies (eg, genetics, lifestyle, or social conditions). Among women who have had 3 births, each mother can be her own control for risk factors that affect outcomes. This retrospective cohort study was performed to examine the effect of interpregnancy interval after adjusting for maternal factors by using within-mother analyses. The association between interpregnancy interval and the incidence of preterm birth, SGA, and low birth weight among the second and third births was determined using data from a population-wide database. Among 84,151 mothers, 40,441 all had their first 3 births as live singletons during 1980 to 2010. Outcome variables were preterm birth (<37 weeks), SGA, and low birth weight (<2500 g). Interpregnancy intervals (in months) were 0 to 5, 6 to 11, 12 to 17, 18 to 23 (reference category), 24 to 59, 60 to 119, and 120 or longer. A maternally matched design was used to model the odds of preterm birth, SGA, and low birth weight as a function of interpregnancy interval. Conditional logistic regression was used to measure this association for an individual woman, which allowed inferences based only on within-mother effects. Confounding factors that can vary between births and affect interpregnancy interval were maternal age, parity, birth year, ethnicity, socioeconomic status, and outcome of the previous birth. The terms matched and unmatched referred to the within-mother design based on conditional and unconditional logistic regression, respectively. Among the 40,441 pairs of second and third births, matched by mother, the mean incidence rates for preterm birth, SGA, and low birth weight for second births were 5.3%, 7.4%, and 3.5%, respectively. For third births, the rates were 5.8%, 6.3%, and 3.6%, respectively. Unconditional logistic regression suggested a strong effect of short interpregnancy interval on the incidence of preterm birth and low birth weight but not SGA, after adjustment for confounders. Among interpregnancy intervals of less than 18 to 23 months, the highest odds ratios (ORs) for preterm birth (adjusted OR [aOR], 1.41; 95% confidence interval [CI], 1.31–1.51) and low birth weight (aOR, 1.26; 95% CI, 1.15–1.37) were for intervals of 0 to 5 months. The incidence of SGA birth was similar across 0 to 23 months, with ORs ranging from 0.98 to 1.03. Among interpregnancy intervals of more than 18 to 23 months, the highest OR of preterm birth (aOR, 1.35; 95% CI, 1.26–1.45) was 60 to 119 months; the highest ORs of low birth weight (aOR, 1.67; 95% CI, 1.42–1.97) and SGA (aOR, 1.98; 95% CI, 1.74–2.24) were for intervals of more than 119 months. In the matched model, among intervals of less than 18 to 23 months, the highest ORs of preterm birth (aOR, 1.07; 95% CI, 0.86–1.34) and low birth weight (aOR, 1.03; 95% CI, 0.79–1.34) were for 0 to 5 months. The OR for SGA was estimated at 1.08 for all 3 categories of interpregnancy intervals of less than 18 months. For preterm birth at intervals of more than 23 months, ORs ranged from 1.01 (0.86–1.18) for 24 to 59 months to 0.88 (0.54–1.46) for more than 119 months. For intervals of more than 23 months, ORs for low birth weight ranged from 1.07 (0.88–1.30) for 24 to 59 months to 1.58 (0.82–3.06) for more than 119 months. Odds ratios for SGA ranged from 1.11 (0.96–1.28) for 24 to 59 months to 1.72 (1.04–2.85) for intervals of more than 119 months. These results do not support the concept of a causal effect of short interpregnancy interval on adverse birth outcomes. However, short interpregnancy interval remains a strong predictor of the risk for adverse birth outcomes, but correlated maternal risk factors must be considered. Clinicians should treat a short interpregnancy interval as a possible risk of adverse birth outcomes but remain aware of other maternal risk factors.

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)0.008
metaresearch head score (Gemma)0.027
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 score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.042
GPT teacher head0.375
Teacher spread0.333 · 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
Published2014
Admission routes1
Has abstractno

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