Evidence map›Paper›PMID 36959571›Full record

ArticleBMC medicine2023

Rates of maternal weight gain over the course of pregnancy and offspring risk of neurodevelopmental disorders.

Shuyun Chen, Mengyu Fan, Brian K Lee, Christina Dalman, Håkan Karlsson, Renee M Gardner

Open access · goldFull text read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Shuyun Chen *Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Mengyu Fan *Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Brian K LeeDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Christina DalmanDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Håkan KarlssonDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Renee M GardnerDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden. renee.gardner@ki.se.ORCID 0000-0002-7011-798X
Karolinska Institutet · SEStockholm County Council · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have suggested that gestational weight gain (GWG) outside an optimal range increases the risks of neurodevelopmental disorders (NDDs) in offspring including autism spectrum disorder (ASD), intellectual disability (ID), and attention deficit/hyperactivity disorder (ADHD). The sequential development of the fetal brain suggests that its vulnerability may vary depending on the timing of exposure. Therefore, we aimed to investigate the associations of not only gestational age-standardized total GWG (GWG z-scores) but also the rate of GWG (RGWG) in the second and third trimesters with risks of NDDs in offspring.

methodsIn this population-based cohort study, we used maternal weight data from antenatal care records collected for 57,822 children born to 53,516 mothers between 2007 and 2010 in the Stockholm Youth Cohort. Children were followed from 2 years of age to December 31, 2016. GWG z-scores and RGWG (kg/week) in the second and third trimesters were considered as continuous variables in cox regression models, clustered on maternal identification numbers. Nonlinear relationships were accommodated using restricted cubic splines with 3 knots. RGWG were also categorized according to the 2009 US Institute of Medicine (IOM) guidelines for optimal GWG. According to the IOM guidelines, the optimal rate of GWG for the second and third trimesters for underweight, normal weight, overweight, and obese categories were 0.44-0.58, 0.35-0.50, 0.23-0.33, and 0.17-0.27 kg/week, respectively.

resultsDuring a mean follow-up of 5.4 years (until children were on average 7.4 years old), 2205 (3.8%) children were diagnosed with NDDs, of which 1119 (1.9%) received a diagnosis of ASD, 1353 (2.3%) ADHD, and 270 (0.5%) ID. We observed a J-shaped association between total GWG z-score and offspring risk of NDDs, with higher total GWG (GWG z-score = 2) associated with 19% increased risk of any NDD (95% CI = 3-37%) and lower total GWG (GWG z-score = - 2) associated with 12% increased risk of any NDDs (95% CI = 2-23%), compared to the reference (GWG z-score = 0). In the second trimester, lower RGWG (0.25 kg/week) was associated with a 9% increased risk of any NDD diagnosis (95% CI = 4-15%) compared to the median of 0.57 kg/week, with no apparent relationship between higher RGWG and risk of NDDs. In the third trimester, there was no apparent association between lower RGWG and risk of NDDs, though higher RGWG (1 kg/week) was associated with a 28% increased risk of NDD diagnosis (95% CI = 16-40%), compared to the median (0.51 kg/week). When considering categorized RGWG, we found that slow weight gain in the second trimester followed by rapid weight gain in the third trimester most significantly increased the risk of ADHD (HR

conclusionsThe relationship between maternal weight gain and children's risk of NDDs varied according to timing in pregnancy, with the greatest risks associated with slow weight gain in the second trimester and rapid weight gain in the third trimester.

Indexed as

Autism Spectrum DisorderGestational Weight GainAdolescentBody Mass IndexChildCohort StudiesFemaleHumansParturitionPregnancyWeight GainAttention deficit/hyperactivity disorder (ADHD)Autism spectrum disorder (ASD)Gestational weight gainIntellectual disability (ID)

Identifiers

PMID36959571
PMCPMC10035205
OpenAlexW4360614348

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Textfull text, public
LicenceCC BY
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Registered trials

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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.