Anthropometric prediction models of body composition in 3 to 24month old infants: a multicenter international study

Anthropometry-based FFM prediction equations provide acceptable results. Assessments based on equations developed on similar populations are more applicable than those developed from a different population.

Authors

Institutions

Publication Details

Journal
European Journal of Clinical Nutrition
Published
2024-09-20
DOI
https://doi.org/10.1038/s41430-024-01501-0
Citations
1
Primary Topic
Birth, Development, and Health
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anthropometric prediction models of body composition in 3 to 24month old infants: a multicenter international study

Shabina Ariff, Sisitha Jayasinghe, Kdk Ahuja, Nishani Lucas et al.
1 citations
European Journal of Clinical Nutrition
Birth, Development, and Health
1.11
article

Anthropometric prediction models of body composition in 3 to 24month old infants: a multicenter international study

Shabina Ariff, Sisitha Jayasinghe, Kdk Ahuja, Nishani Lucas, Rebecca Kuriyan, Pujitha Wickramasinghe, Andrew P. Hills, Iná S. Santos, Lukhanyo H. Nyati, Caroline dos Santos Costa, Jithin Sam Varghese, Shane Anthony Norris, Anura V. Kurpad, Alexia J. Murphy‐Alford
article en
1 citations

Abstract

Anthropometry-based FFM prediction equations provide acceptable results. Assessments based on equations developed on similar populations are more applicable than those developed from a different population.

European Journal of Clinical NutritionVol. 78(11)
Aga Khan University (PK), International Atomic Energy Agency (AT), University of Tasmania (AU), Emory University (US), Universidade Federal de Pelotas (BR), University of the Witwatersrand (ZA), University of Sharjah (AE), University of Oxford (GB), St.John's Medical College Hospital (IN), Pakistan Institute of Nuclear Science and Technology (PK), University of Colombo (LK)
Bill and Melinda Gates Foundation, International Atomic Energy Agency
Openalex Percentile: Top 18%
Birth, Development, and Health
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.