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Neighborhood Income Mobility and Risk of Neonatal and Maternal Morbidity

2023· article· en· W4377565929 on OpenAlexafffundabout
Jennifer A. Jairam, Simone N. Vigod, Arjumand Siddiqi, Jun Guan, Alexa Boblitz, Xuesong Wang, Patricia O’Campo, Joel G. Ray

Bibliographic record

VenueJAMA Network Open · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsInstitute for Clinical Evaluative SciencesWomen's College HospitalPublic Health OntarioUniversity of TorontoSt. Michael's Hospital
FundersUniversity of TorontoOntario Ministry of Health and Long-Term Care
KeywordsMedicinePregnancyRelative riskPopulationDemographySingletonLive birthObstetricsCohort studyConfidence intervalEnvironmental health

Abstract

fetched live from OpenAlex

Importance: Residing in a low-income neighborhood is generally associated with worse pregnancy outcomes. It is not known if moving from a low- to higher-income area between 2 pregnancies alters the risk of adverse birth outcomes in the subsequent birth compared with women who remain in low-income areas for both births. Objective: To compare the risk of adverse maternal and newborn outcomes among women who achieved upward area-level income mobility vs those who did not. Design, Setting, and Participants: This population-based cohort study was completed in Ontario, Canada, from 2002 to 2019, where there is universal health care. Included were all nulliparous women with a first-time singleton birth at 20 to 42 weeks' gestation, each residing in a low-income urban neighborhood at the time of the first birth. All women were then assessed at their second birth. Statistical analysis was conducted from August 2022 to April 2023. Exposure: Movement from a lowest-income quintile (Q1) neighborhood to any higher-income quintile neighborhood (Q2-Q5) between the first and second birth. Main Outcomes and Measures: The maternal outcome was severe maternal morbidity or mortality (SMM-M) at the second birth hospitalization or up to 42 days post partum. The primary perinatal outcome was severe neonatal morbidity or mortality (SNM-M) within 27 days of the second birth. Relative risks (aRR) and absolute risk differences (aARD) were estimated by adjusting for maternal and infant characteristics. Results: A total of 42 208 (44.1%) women (mean [SD] age at second birth, 30.0 [5.2] years) experienced upward area-level income mobility, and 53 409 (55.9%) women (age at second birth, 29.0 [5.4] years) remained in income Q1 between births. Relative to women who remained in income Q1 between births, those with upward mobility had a lower associated risk of SMM-M (12.0 vs 13.3 per 1000 births), with an aRR of 0.86 (95% CI, 0.78 to 0.93) and aARD of -2.09 per 1000 (95% CI, -3.1 to -0.9 per 1000 ). Likewise, their newborns experienced lower respective rates of SNM-M (48.0 vs 50.9 per 1000 live births), with an aRR of 0.91 (95% CI, 0.87 to 0.95) and aARD of -4.7 per 1000 (95% CI, -6.8 to -2.6 per 1000). Conclusions and Relevance: In this cohort study of nulliparous women living in low-income areas, those who moved to a higher-income area between births experienced less morbidity and death in their second pregnancy, as did their newborns, compared with those who remained in low-income areas between births. Research is needed to determine whether financial incentives or enhancement of neighborhood factors can reduce adverse maternal and perinatal outcomes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.022
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.340
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 teacher head, 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

Citations15
Published2023
Admission routes3
Has abstractyes

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