Evidence map›Paper›PMID 41495320›Full record

ArticleObesity surgery2026

Accuracy of Body Composition Prediction Equations in Middle-Aged Females with Class II and III Obesity.

Sarah A Purcell, Jonathan P Bennett, Carlene A Johnson-Stoklossa, Mario Siervo, Carla M Prado

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Article in Obesity surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sarah A PurcellHuman Nutrition Research Unit, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Canada. sarah.purcell@ubc.ca.
Jonathan P BennettDepartment of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA.
Carlene A Johnson-StoklossaHuman Nutrition Research Unit, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Canada.
Mario SiervoCurtin School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.
Carla M PradoHuman Nutrition Research Unit, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Canada. Carla.prado@ualberta.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBariatric surgery results in body composition changes, but direct assessment is often unavailable in clinical settings. Prediction equations offer an alternative but remain unvalidated, especially in people with obesity. This study evaluated the accuracy of anthropometric-based equations for estimating fat mass (FM)%, FM, and lean soft tissue (LST) in females awaiting bariatric surgery.

methodsFemales with class II or III obesity underwent body composition assessment via dual X-ray absorptiometry. The accuracy of 16 body composition equations was determined using Bland-Altman analyses, assessing group-level (bias: mean difference, via paired t-test) and individual-level (limits of agreement [LOA]; bias ± 2 standard deviations) agreement. Pearson's or Spearman's correlation assessed proportional bias and the relationship between equation error and age, weight, waist circumference, and waist-to-height ratio.

resultsOne hundred twenty-nine females (body mass index: 43.4 ± 6.2 kg/m

conclusionsNo equation provided accurate individual-level body composition estimates, though some performed reasonably well at the group level. Improved prediction models or accessible measurement methods are needed for accurate body composition evaluation before and after bariatric surgery.

Indexed as

Body CompositionObesity, MorbidAbsorptiometry, PhotonAdultAnthropometryBariatric SurgeryBody Mass IndexFemaleHumansMiddle AgedPredictive Value of TestsReproducibility of ResultsWaist CircumferenceBariatric surgeryBody compositionBody mass indexDual-energy x-ray absorptiometryNutritional assessmentObesityPredictive equation

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.