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Post published on Twitter/X on 28 Sep 2022 06:48

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Oliver Gale-Grant, Andrew Chew, Shona Falconer, Lucas G.S França, Sunniva Fenn-Moltu, Laila Hadaya, Nicholas Harper, Judit Ciarrusta, et al. (2022). Clinical, socio-demographic, and parental correlates of early autism traits in a community cohort. openRxiv.

Publication date
27 Sep 2022
Identifier
10.1101/2022.09.26.508121
Authors
Oliver Gale-Grant, Andrew Chew, Shona Falconer, Lucas G.S França, Sunniva Fenn-Moltu, Laila Hadaya, Nicholas Harper, Judit Ciarrusta, Tony Charman, Declan Murphy, Tomoki Arichi, Grainne McAlonan, Chiara Nosarti, A David Edwards, Dafnis Batalle
Reference type
preprint
Publisher
openRxiv
Metadata source
crossref

Abstract

Abstract Background Autism traits emerge between the ages of 1 and 2. It is not known if experiences which increase the likelihood of childhood autism are related to early trait emergence, or if other exposures are more important. Identifying factors linked to toddler autism traits in the general population may improve our understanding of the mechanisms underlying atypical neurodevelopment. Methods Clinical, socio-demographic, and parental information was collected at birth from 536 toddlers in London, UK (gestational age at birth, sex, maternal body mass index, age, parental education level, parental first language, parental history of neurodevelopmental disorders) and at 18 months (parent cohabiting status, two measures of social deprivation, three measures of maternal parenting style, and a measure of maternal postnatal depression). General neurodevelopment was assessed with the Bayley Scales of Infant and Toddler Development, 3 rd Edition (BSID-III), and autism traits were assessed using the Quantitative Checklist for Autism in Toddlers (Q-CHAT). Multivariable models were used to identify associations between variables and Q-CHAT. A model including BSID-III was used to identify factors associated with Q-CHAT independent of general neurodevelopment. Models were also evaluated addressing variable collinearity with principal component analysis (PCA). Results A multivariable model explained 20% of Q-CHAT variance, with four individually significant variables (two measures of parenting style and two measures of socio-economic deprivation). After adding general neurodevelopment into the model 36% of Q-CHAT variance was explained, with three individually significant variables (two measures of parenting style and one measure of language development). After addressing variable collinearity with PCA, parenting style and social deprivation were positively correlated with Q-CHAT score via a single principal component, independently of general neurodevelopment. Neither sex nor family history of autism were associated with Q-CHAT score. Limitations The Q-CHAT is parent rated and is therefore a subjective opinion rather than a clinical assessment. We measured Q-CHAT at a single timepoint, and to date no participant has been followed up in later childhood, so we are focused purely on emerging traits rather than clinical autism diagnoses. Conclusions Autism traits are common at age 18 months, and greater emergence is specifically related to exposure to early life adversity.

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