B4337 - Predicting Language Development at the Individual Level - 06/06/2023

B number: 
Principal applicant name: 
Patrick Wong | The Chinese University of Hong Kong (China)
Title of project: 
Predicting Language Development at the Individual Level
Proposal summary: 

Research using data from the AVON Study has found developmental stability of language development (Bornstein et al., 2018, Science Advances). Children whose language ability ranks low at 6 months are likely to continue to rank low when they are 15 years old. The results are group-level results revealing group tendencies, rather than pinpointing whether a particular infant will likely to develop better or poorer language in later childhood. We would like to examine whether a more precise analytical approach can be adopted so that we will be in a better position to forecast language development at the individual-child level.

Impact of research: 
A precise predictive model to forecast language development will have the potential to inform caregivers, clinicians and educators about whether preemptive early intervention should be provided to the infants and families in order to enhance the infants' language outcome.
Date proposal received: 
Friday, 19 May, 2023
Date proposal approved: 
Friday, 2 June, 2023
Mental health - Psychology, Psychiatry, Cognition, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Developmental disorders - autism, Cognitive impairment, Learning difficulty, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Speech/language problem, Statistical methods, Birth outcomes, Cohort studies - attrition, bias, participant engagement, ethics, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Parenting, Psychology - personality, Speech and language, Childhood - childcare, childhood adversity, Cognition - cognitive function, Communication (including non-verbal), Development, ENT - hearing, Growth, Intelligence - memory, Mothers - maternal age, menopause, obstetrics