Evidence map›Paper›PMID 28380000›Full record

ArticlePloS one2017

Maternal age and child morbidity: A Danish national cohort study.

Malene Meisner Hviid, Charlotte Wessel Skovlund, Lina Steinrud Mørch, Øjvind Lidegaard

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In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Malene Meisner HviidDepartment of Gynecology, Zealand University Hospital, Roskilde, Denmark.ORCID http://orcid.org/0000-0001-9755-0858
Charlotte Wessel SkovlundDepartment of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Lina Steinrud MørchDepartment of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Øjvind LidegaardDepartment of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe mean age at delivery has increased over the latest half of a century. Women of advanced maternal age have increased obstetrical risks and increased risk of chromosomal abnormalities and some other specified diagnoses in the offspring. The aim of this study was to assess the association between maternal age and overall child morbidity according to main diagnosis groups. MATERIAL AND

methodsWe conducted a national cohort study including 352 027 live firstborn singleton children. The children were born between Jan 1994 and Dec 2009 and followed to Dec 2012. Children were divided into groups according to maternal age: 15-24, 25-29, 30-34, and 35+ years. Poisson regression analyses calculated adjusted incidence rate ratios (IRR) of child morbidities according to main diagnoses groups A-Q of the International Classification of Disease 10 with adjustment for year of birth, body mass index, smoking, and mother's level of education.

resultsAverage follow-up time was 11 years. Compared to children born to women 25-29 years, firstborn children to mothers aged 35+ had higher child morbidity in 8 of 19 main diagnosis groups and firstborn children to mothers 15-24 years had higher child morbidity in 12 of 19 main diagnosis groups. Thus, for a majority of diseases a U-shaped correlation was found, with lowest rates in women 25-29 years.

conclusionFirstborn children to both older and younger mothers have higher overall morbidity as compared to children born by mothers 25-29 years.

Indexed as

Maternal AgeMorbidityAdolescentAdultBirth OrderBody Mass IndexChildChild, PreschoolCohort StudiesDenmarkEducational StatusFemaleHumansInfantInfant, NewbornSmoking

Identifiers

PMID28380000
PMCPMC5381873

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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.