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Prenatal environmental exposures associated with sex differences in childhood obesity and neurodevelopment

Overview of attention for article published in BMC Medicine, April 2023
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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2 news outlets
blogs
1 blog
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12 X users

Citations

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1 Dimensions

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22 Mendeley
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Title
Prenatal environmental exposures associated with sex differences in childhood obesity and neurodevelopment
Published in
BMC Medicine, April 2023
DOI 10.1186/s12916-023-02815-9
Pubmed ID
Authors

Alejandro Cáceres, Natàlia Carreras-Gallo, Sandra Andrusaityte, Mariona Bustamante, Ángel Carracedo, Leda Chatzi, Varun B. Dwaraka, Regina Grazuleviciene, Kristine Bjerve Gutzkow, Johanna Lepeule, Léa Maitre, Tavis L. Mendez, Mark Nieuwenhuijsen, Remy Slama, Ryan Smith, Nikos Stratakis, Cathrine Thomsen, Jose Urquiza, Hannah Went, John Wright, Tiffany Yang, Maribel Casas, Martine Vrijheid, Juan R. González

Abstract

Obesity and neurodevelopmental delay are complex traits that often co-occur and differ between boys and girls. Prenatal exposures are believed to influence children's obesity, but it is unknown whether exposures of pregnant mothers can confer a different risk of obesity between sexes, and whether they can affect neurodevelopment. We analyzed data from 1044 children from the HELIX project, comprising 93 exposures during pregnancy, and clinical, neuropsychological, and methylation data during childhood (5-11 years). Using exposome-wide interaction analyses, we identified prenatal exposures with the highest sexual dimorphism in obesity risk, which were used to create a multiexposure profile. We applied causal random forest to classify individuals into two environments: E1 and E0. E1 consists of a combination of exposure levels where girls have significantly less risk of obesity than boys, as compared to E0, which consists of the remaining combination of exposure levels. We investigated whether the association between sex and neurodevelopmental delay also differed between E0 and E1. We used methylation data to perform an epigenome-wide association study between the environments to see the effect of belonging to E1 or E0 at the molecular level. We observed that E1 was defined by the combination of low dairy consumption, non-smokers' cotinine levels in blood, low facility richness, and the presence of green spaces during pregnancy (ORinteraction = 0.070, P = 2.59 × 10-5). E1 was also associated with a lower risk of neurodevelopmental delay in girls, based on neuropsychological tests of non-verbal intelligence (ORinteraction = 0.42, P = 0.047) and working memory (ORinteraction = 0.31, P = 0.02). In line with this, several neurodevelopmental functions were enriched in significant differentially methylated probes between E1 and E0. The risk of obesity can be different for boys and girls in certain prenatal environments. We identified an environment combining four exposure levels that protect girls from obesity and neurodevelopment delay. The combination of single exposures into multiexposure profiles using causal inference can help determine populations at risk.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 32%
Student > Bachelor 3 14%
Lecturer 2 9%
Unspecified 1 5%
Student > Ph. D. Student 1 5%
Other 0 0%
Unknown 8 36%
Readers by discipline Count As %
Social Sciences 3 14%
Nursing and Health Professions 2 9%
Medicine and Dentistry 2 9%
Sports and Recreations 2 9%
Mathematics 1 5%
Other 4 18%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2023.
All research outputs
#1,334,735
of 25,247,084 outputs
Outputs from BMC Medicine
#934
of 3,958 outputs
Outputs of similar age
#27,274
of 409,021 outputs
Outputs of similar age from BMC Medicine
#28
of 120 outputs
Altmetric has tracked 25,247,084 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 409,021 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.