Evidence map›Paper›PMID 36621355›Full record

ArticleDisability and health journal2023

Impact of social-, health-, and disability-related factors on pregnancy outcomes in women with intellectual and developmental disabilities: A population-based latent class analysis.

Caroline Kassee, Yona Lunsky, Aditi Patrikar, Hilary K Brown

Open access · greenAbstract read
In one paragraph

Article in Disability and health journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Caroline KasseeICES, ICES: 2075 Bayview Ave, Toronto, Ontario, Canada M4N 3M5; Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario, Canada M5T 3M7. Electronic address: caroline.kassee@mail.utoronto.ca.
Yona LunskyICES, ICES: 2075 Bayview Ave, Toronto, Ontario, Canada M4N 3M5; Azrieli Adult Neurodevelopmental Centre, Centre for Addiction & Mental Health, 1001 Queen St W, Toronto, Ontario, Canada M6J 1H4. Electronic address: yona.lunsky@camh.ca.
Aditi PatrikarICES, ICES: 2075 Bayview Ave, Toronto, Ontario, Canada M4N 3M5. Electronic address: aditi.patrikar@ices.on.ca.
Hilary K BrownICES, ICES: 2075 Bayview Ave, Toronto, Ontario, Canada M4N 3M5; Department of Health & Society, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, Canada, M1C 1A5. Electronic address: hk.brown@utoronto.ca.
University of Toronto · CACentre for Addiction and Mental Health · CA

Funding

Pregnancy in Women with Disabilities: Using Novel Methods to Characterize RiskR01HD092326 · NICHD · UNIVERSITY OF TORONTO · PI BROWN, HILARY, LUNSKY, YONA · 2017 to 2020
$590k
NICHD NIH HHS R01 HD092326
6 · The paper itself

Abstract

backgroundStudies have shown women with intellectual and developmental disabilities (IDD) have elevated risks of perinatal complications, but few studies have examined how social, health, and disability-related factors affect these risks.

objectivesTo identify and describe subgroups of pregnant women with IDD according to social, health, and disability-related factors and examine the risks of perinatal complications in these subgroups compared to women without IDD.

methodsWe performed a population-based cohort study in Ontario, Canada, of women with (n = 1922) and without (n = 1,126,854) IDD, with a singleton birth in 2003-2018. We used latent class analysis (LCA) to identify subgroups of women according to social (e.g., age), health (e.g., chronic medical conditions), and disability-related (e.g., IDD type) characteristics. Modified Poisson regression was then used to compare the risks of hypertensive disorders of pregnancy, cesarean delivery, and preterm birth across identified subgroups to women without IDD.

resultsThe LCA identified 4 classes of women with IDD: (1) young women who were mostly healthy and had little primary care before pregnancy (n = 253); (2) older women who were mostly healthy (n = 795); (3) young to mid-aged women who had significant comorbidities (n = 181); and (4) young women, many of whom were autistic, who had some medical comorbidities and significant psychiatric comorbidities (n = 693). Class 3 consistently had the greatest risks of perinatal complications, across all IDD groups, compared to women without IDD.

conclusionsThese findings underscore the importance of multidisciplinary care approaches tailored to the needs of at-risk women with IDD, in the preconception and perinatal periods.

Indexed as

Intellectual DisabilityPersons with DisabilitiesPremature BirthAgedChildCohort StudiesDevelopmental DisabilitiesFemaleHumansInfant, NewbornLatent Class AnalysisMiddle AgedOntarioPregnancyPregnancy OutcomeIntellectual and developmental disabilitiesLatent class analysisPopulation-based dataPregnancy

Identifiers

PMID36621355
PMCPMC10073261
OpenAlexW4311424778

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.