Early Language in Victoria Study (ELVS)
The Early Language in Victoria Study (ELVS) has been following the speech and language development of a large group of children (>1900) born in the surrounds of Melbourne, Victoria (Australia) since they were 8 months of age. ELVS continues to follow this same group of children as they transition from middle childhood to adolescence. There are a number of ELVS sub-studies investigating different areas of communication development including: stuttering, autism and bilingual language development.
| Study Summary | |
|---|---|
| Study name | Early Language in Victoria Study |
| Study abbreviation | ELVS |
| Current principal investigator/s |
Tricia Eadie |
| Current project manager |
Penny Levickis |
| Primary Institution/s |
The University of Melbourne - UoM
|
| Collaborating Institution/s |
Griffith University
Murdoch Children’s Research Institute - MCRI La Trobe University Deakin University |
| Major funding source/s |
National Health and Medical Research Council - NHMRC
|
| Study website | https://www.mcri.edu.au/research/projects/early-language-victoria-study-elvs |
| Key reference for study | Reilly, S., Cook, F., Bavin, E.L., Bretherton, L., Cahir, P., Eadie, P., Gold, L., Mensah, F., Papadopoullos, S. and Wake, M. (2017). Cohort Profile: The Early Language in Victoria Study (ELVS). International Journal of Epidemiology. doi: 10.1093/ije/dyx079dyx079-dyx079. |
| Study focus |
How language develops from infancy (8 months) to adolescence. Sub-studies include investigations in to stuttering, autism, and bilingual language development. |
| Sampling frame |
Maternal and Child Health Nurses approached all parents of babies aged 8-10 months of age, within six Local Government Areas of Melbourne, Australia. |
| Primary study type | Longitudinal cohort |
| Year commenced |
2003 |
| Is this study ongoing? | Yes - the study is ongoing |
| Ongoing recruitment? | No |
| Sample size (N) |
1910 |
| Survey data available? | Yes |
| Imaging data available? | No |
| Linkage to administrative dataset/s? | No, no consent to link to administrative dataset(s) obtained |
| Biosamples available? | Yes |
| Are data available to others outside study team, with appropriate safeguards and structures in line with the cohort’s ethics and governance processes? | Yes |
| Are there any costs associated with data/sample access for approved requests? | There may be costs associated with access, evaluated on a case by case basis |
| Broadest type of participant consent available |
Extended consent (can be used for future ethically approved research related to this project) |
2023
Gasparini L, Shepherd DA, Bavin EL, Eadie P, Reilly S, Morgan AT, Wake M. (2023). Using machine-learning methods to identify early-life predictors of 11-year language outcome. J Child Psychol Psychiatry, 64(8), 1242 - 1252. DOI: 10.1111/jcpp.13733
| Study Contacts | |
|---|---|
| Principal investigator/s |
Tricia Eadie |
| Project manager |
Penny Levickis |
| Study Contact |
Email: [email protected] |