Journal article

Insights into adolescent well-being from computerised analysis of written language

Natalie J Shearer, Alanna N Gillespie, Tim S Olds, Fiona K Mensah, Ben Edwards, Julian W Fernando, Yichao Wang, Melissa Wake, Kate Lycett

ACTA PAEDIATRICA | WILEY | Published : 2021


AIM: To examine associations between patterns of language use and early adolescent well-being. METHODS: Participants were 1763 Australian 11- to 12-year-olds in the Child Health CheckPoint. Six patterns of language use were identified from a writing activity using Linguistic Inquiry and Word Count and factor analysis: Acting in the present and future, Positive emotion, Gender and relationships, Self-aware, Inquisitive and time focused, and Confident. Well-being measures represented a spectrum from negatively to positively framed psychosocial health. Associations between language use and well-being were estimated using linear regression adjusted for age, sex and social disadvantage. RESULTS: ..

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Awarded by National Health and Medical Research Council (NHMRC) of Australia

Awarded by Royal Children's Hospital Foundation

Awarded by National Heart Foundation of Australia

Awarded by Financial Markets Foundation for Children

Awarded by University of Auckland

Awarded by NHMRC

Awarded by National Heart Foundation

Funding Acknowledgements

The Murdoch Children's Research Institute (MCRI) administered the research grant for the study and provided infrastructural support to its staff but played no role in the conduct or analysis of the study. Research at the MCRI is supported by the Victorian Government's Operational Infrastructure Support Program. This work was supported by the National Health and Medical Research Council (NHMRC) of Australia [grant numbers 1041352, 1109355]; The Royal Children's Hospital Foundation [grant number 2014-241]; the MCRI, The University of Melbourne, the National Heart Foundation of Australia [grant number 100660]; Financial Markets Foundation for Children [grant numbers 2014-055, 2016-310]; Cure Kids, New Zealand Ministry of Business, Innovation and Employment, University of Auckland Faculty Development Research Fund (3712987), and the National Centre for Longitudinal Data (NCLD). KL was supported by an NHMRC Early Career Fellowship [APP1091124]; and a National Heart Foundation Postdoctoral Fellowship [grant number 101239]. MW was supported by an NHMRC Principal Research Fellowship [grant number 1160906]. FM was supported by an NHMRC Career Development Fellowship [grant number 1111160]. The funding bodies had no role in relation to the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.