Comparison of statistical modelling methods for population-level gestational weight gain trajectories in ethnically diverse women in southeast Melbourne, Australia
The optimal model developed will underpin our new epidemiological tool for the assessment and prediction of GWG. Using the model, individualised centile charts are relatively easy to produce, making them accessible to both healthcare providers and pregnant individuals. The visual nature of centile graphs makes it easier to see whether a woman's GWG is on track, which is helpful for making informed decisions about nutrition, lifestyle and healthcare.
Authors
- Sanjeeva Ranasinha (ORCID: https://orcid.org/0000-0003-1323-4917)
- Helena Jane Teede (ORCID: https://orcid.org/0000-0001-7609-577X)
- Cheryce L. Harrison (ORCID: https://orcid.org/0000-0002-3154-4946)
- Joanne Enticott (ORCID: https://orcid.org/0000-0002-4480-5690)
- Rui Wang (ORCID: https://orcid.org/0000-0002-6622-8134)
Institutions
- The University of Sydney (AU)
- Monash Health (AU)
- National Health and Medical Research Council (AU)
- Monash University (AU)
Publication Details
- Journal
- BMJ Open
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1136/bmjopen-2024-088664
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Health and Medical Research Council