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Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort

BACKGROUND: Many empirical studies suggest that higher maternal age increases the likelihood of having an autistic child. However, little is known about factors that may explain this relationship or if higher maternal age is related to the number of autistic-like traits in offspring. One possibility...

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Autores principales: Sari, Novika Purnama, Jansen, Pauline W., Blanken, Laura M. E., Ruigrok, Amber N. V., Prinzie, Peter, Tiemeier, Henning, Baron-Cohen, Simon, van IJzendoorn, Marinus H., White, Tonya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199218/
https://www.ncbi.nlm.nih.gov/pubmed/35705965
http://dx.doi.org/10.1186/s13229-022-00507-4
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author Sari, Novika Purnama
Jansen, Pauline W.
Blanken, Laura M. E.
Ruigrok, Amber N. V.
Prinzie, Peter
Tiemeier, Henning
Baron-Cohen, Simon
van IJzendoorn, Marinus H.
White, Tonya
author_facet Sari, Novika Purnama
Jansen, Pauline W.
Blanken, Laura M. E.
Ruigrok, Amber N. V.
Prinzie, Peter
Tiemeier, Henning
Baron-Cohen, Simon
van IJzendoorn, Marinus H.
White, Tonya
author_sort Sari, Novika Purnama
collection PubMed
description BACKGROUND: Many empirical studies suggest that higher maternal age increases the likelihood of having an autistic child. However, little is known about factors that may explain this relationship or if higher maternal age is related to the number of autistic-like traits in offspring. One possibility is that mothers who have a higher number of autistic-like traits, including greater challenges performing mentalizing skills, are delayed in finding a partner. The goal of our study is to assess the relationship between maternal age, mentalizing skills and autistic-like traits as independent predictors of the number of autistic-like traits in offspring. METHODS: In a population-based study in the Netherlands, information on maternal age was collected during pre- and perinatal enrolment. Maternal mentalizing skills and autistic-like traits were assessed using the Reading the Mind in the Eyes Test and the Autism Spectrum Quotient, respectively. Autistic-like traits in children were assessed with the Social Responsiveness Scale. A total of 5718 mother/child dyads had complete data (M(agechild) = 13.5 years; 50.2% girls). RESULTS: The relationship between maternal age and autistic-like traits in offspring best fits a U-shaped curve. Furthermore, higher levels of autistic features in mothers are linked to higher levels of autistic-like traits in their children. Lower mentalizing performance in mothers is linked to higher levels of autistic-like traits in their children. LIMITATIONS: We were able to collect data on both autistic-like traits and the mentalizing skills test in a large population of mothers, but we did not collect these data in a large number of the fathers. CONCLUSIONS: The relationships between older and younger mothers may have comparable underlying mechanisms, but it is also possible that the tails of the U-shaped curve are influenced by disparate mechanisms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13229-022-00507-4.
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spelling pubmed-91992182022-06-16 Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort Sari, Novika Purnama Jansen, Pauline W. Blanken, Laura M. E. Ruigrok, Amber N. V. Prinzie, Peter Tiemeier, Henning Baron-Cohen, Simon van IJzendoorn, Marinus H. White, Tonya Mol Autism Research BACKGROUND: Many empirical studies suggest that higher maternal age increases the likelihood of having an autistic child. However, little is known about factors that may explain this relationship or if higher maternal age is related to the number of autistic-like traits in offspring. One possibility is that mothers who have a higher number of autistic-like traits, including greater challenges performing mentalizing skills, are delayed in finding a partner. The goal of our study is to assess the relationship between maternal age, mentalizing skills and autistic-like traits as independent predictors of the number of autistic-like traits in offspring. METHODS: In a population-based study in the Netherlands, information on maternal age was collected during pre- and perinatal enrolment. Maternal mentalizing skills and autistic-like traits were assessed using the Reading the Mind in the Eyes Test and the Autism Spectrum Quotient, respectively. Autistic-like traits in children were assessed with the Social Responsiveness Scale. A total of 5718 mother/child dyads had complete data (M(agechild) = 13.5 years; 50.2% girls). RESULTS: The relationship between maternal age and autistic-like traits in offspring best fits a U-shaped curve. Furthermore, higher levels of autistic features in mothers are linked to higher levels of autistic-like traits in their children. Lower mentalizing performance in mothers is linked to higher levels of autistic-like traits in their children. LIMITATIONS: We were able to collect data on both autistic-like traits and the mentalizing skills test in a large population of mothers, but we did not collect these data in a large number of the fathers. CONCLUSIONS: The relationships between older and younger mothers may have comparable underlying mechanisms, but it is also possible that the tails of the U-shaped curve are influenced by disparate mechanisms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13229-022-00507-4. BioMed Central 2022-06-15 /pmc/articles/PMC9199218/ /pubmed/35705965 http://dx.doi.org/10.1186/s13229-022-00507-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sari, Novika Purnama
Jansen, Pauline W.
Blanken, Laura M. E.
Ruigrok, Amber N. V.
Prinzie, Peter
Tiemeier, Henning
Baron-Cohen, Simon
van IJzendoorn, Marinus H.
White, Tonya
Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort
title Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort
title_full Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort
title_fullStr Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort
title_full_unstemmed Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort
title_short Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort
title_sort maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199218/
https://www.ncbi.nlm.nih.gov/pubmed/35705965
http://dx.doi.org/10.1186/s13229-022-00507-4
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