Latent classes of anthropometric growth in early childhood using uni- and multivariate approaches in a South African birth cohort
With the identification of these classes, a better understanding of distinct childhood growth trajectories and their predictors may be gained, informing interventions to promote optimal childhood growth.
Authors
- Liz Goddard
- Noëlle van Biljon (ORCID: https://orcid.org/0000-0002-4984-8905)
- Marilyn T. Lake (ORCID: https://orcid.org/0000-0002-6056-2078)
- Francesca Little (ORCID: https://orcid.org/0000-0002-5917-9928)
- Heather Joy Zar (ORCID: https://orcid.org/0000-0002-9046-759X)
- Maresa Botha
Institutions
- University of Cape Town (ZA)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-03-25
- DOI
- https://doi.org/10.1371/journal.pone.0319237
- Citations
- 1
- Primary Topic
- Child Nutrition and Water Access
- Type
- article
- Field-Weighted Citation Impact
- 1.12
Funders
- Foundation for the National Institutes of Health
- Carnegie Corporation of New York
- Bill and Melinda Gates Foundation
- South African Medical Research Council
- University of Cape Town