Previous 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.
In 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.
During 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 = 1.55, 1.13-2.13) and ID (HR = 2.53, 1.15-5.55) in offspring. The main limitations of our study are the relatively few years for which detailed GWG data were available and the relatively short follow-up for the outcomes, limiting power to detect associations and misclassifying children who receive an NDD diagnosis later in childhood. The 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.
Rates of maternal weight gain over the course of pregnancy and offspring risk of neurodevelopmental disorders
Creators
Shuyun Chen - Karolinska Institutet
Mengyu Fan - Karolinska Institutet
Brian K Lee - A.J. Drexel Autism Institute, Philadelphia, PA, USA
Christina Dalman - Stockholm County Council
Håkan Karlsson - Karolinska Institutet
Renee M Gardner (Corresponding Author) - Karolinska Institutet
Publication Details
BMC medicine, v 21(1), 108
Publisher
Springer BMC
Number of pages
16
Grant note
2017-02900 / Vetenskapsrådet
StratNeuro [Strategic Research Area Neuroscience at the Karolinska Institutet) / Karolinska Institutet
201907930020 / China Scholarship Council
523-2010-1052 / Vetenskapsrådet
Resource Type
Journal article
Language
English
Academic Unit
Epidemiology and Biostatistics
Web of Science ID
WOS:000957385600002
Scopus ID
2-s2.0-85150896206
Other Identifier
991020237230104721
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