Evidence map›Paper›PMID 42552367›Full record

ArticleEuropean journal of clinical nutrition2026

Prenatal adipose tissue estimation using early second trimester anthropometry.

Marcela R Abrego, Sara Dube, Daniel A Powers, Jeffrey Luci, Isaiah Janumala, Jack Virostko, Adrienne N Dula, Amy R Nichols, Rachel R Rickman, Saralyn F Foster and 4 more

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Article in European journal of clinical nutrition, 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Marcela R AbregoDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA.
Sara DubeDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA.
Daniel A PowersDepartment of Sociology, The University of Texas at Austin, Austin, TX, USA.
Jeffrey LuciCenter for Advanced Human Brain Imaging Research, Rutgers University, Piscataway, NJ, USA.ORCID http://orcid.org/0000-0002-5719-0496
Isaiah JanumalaDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA.
Jack VirostkoDepartment of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, USA.
Adrienne N DulaDepartment of Neurology, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-4809-6115
Amy R NicholsDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-3085-7377
Rachel R RickmanDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA.
Saralyn F FosterDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA.
Lorie M HarperDepartment of Women's Health, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Dana DabeleaDepartment of Epidemiology, The University of Colorado at Denver, Denver, CO, USA.
Alison G CahillDepartment of Women's Health, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Elizabeth M WidenDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA. elizabeth.widen@austin.utexas.edu.ORCID http://orcid.org/0000-0002-9574-6109

Funding

Pregnancy weight trajectories and offspring adiposityR00HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2018 to 2020
$744k
NICHD NIH HHS R00 HD086304U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) R00HD086304
6 · The paper itself

Abstract

BACKGROUND/

objectivesPrenatal visceral (VAT) and total (TAT) adipose tissue are associated with gestational diabetes and preeclampsia risk, yet cannot be routinely assessed in clinical or epidemiologic settings. Although anthropometric measures reflect adiposity in non-pregnant individuals, their utility in early pregnancy remains unclear. We examined associations between anthropometrics and TAT and VAT in the early second trimester and evaluated differences by prepregnancy BMI. SUBJECTS/

methodsAmong pregnant women (n = 61) in the Mother and Infant NuTrition (MINT) cohort, TAT and VAT were assessed via whole-body MRI at 15-weeks gestation. Anthropometrics included waist (WC), hip (HC), mid-upper arm (MUAC), calf (CC), thigh (TC), and skinfolds (SF) for iliac crest, subscapular, thigh, and triceps. Linear regression evaluated predictors of TAT and VAT by BMI category.

resultsTAT demonstrated strong positive correlations with BMI, WC, HC, MUAC, and TC (r = 0.76-0.92) while VAT demonstrated moderate positive correlations with BMI, MUAC, HC (r = 0.48-0.58), and strongest with WC (r = 0.60). The healthy BMI (n = 36) TAT prediction model included MUAC, HC, and iliac SF (R

conclusionsAnthropometric measures associated with prenatal adiposity differed by prepregnancy BMI. The TAT prediction model showed an acceptable R

Identifiers

PMID42552367

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