Evidence map›Paper›PMID 41904540›Full record

ArticleJournal of eating disorders2026

A comparison of methods for calculating expected body mass indices among youth with eating disorders.

Jessica A Lin, Carly E Milliren, Monique Santoso, Elizabeth R Woods, Sara F Forman, Tracy K Richmond

Abstract read
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Article in Journal of eating disorders, 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jessica A Lin *Division of Adolescent and Young Adult Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Carly E Milliren *Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA. carly.milliren@childrens.harvard.edu.
Monique SantosoDivision of Adolescent and Young Adult Medicine, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.
Elizabeth R WoodsDivision of Adolescent and Young Adult Medicine, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.
Sara F FormanDivision of Adolescent and Young Adult Medicine, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.
Tracy K RichmondDivision of Adolescent and Young Adult Medicine, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPercentage of median body mass index (mBMI) is an established method to calculate malnutrition severity for youth with eating disorders (ED) but does not account for individual variability in premorbid growth trajectories. We aimed to develop an individualized expected BMI (inBMI) measure and compare estimates of malnutrition severity derived from inBMI versus mBMI.

methodsUsing growth chart data for participants in a longitudinal ED registry (RECOVERY), we calculated percent of expected BMI at initial treatment presentation using two methods: (1) mBMI, the 50th percentile for age-and-sex, and (2) inBMI, defined as the 10% trimmed mean of each participant's premorbid BMI percentiles. We compared estimates of malnutrition severity between methods overall and by premorbid growth category.

resultsAmong 97 participants (mean age 15.7 years; 85% female), mean BMI percentile at presentation was 31.8 (SD = 26.6). A mean of 12.8 premorbid BMI measurements per participant were available to estimate inBMI. Mean %mBMI was 94.2 (SD = 17.7) vs. 86.8 (SD = 14.0) %inBMI, with modest correlation between measures (r = 0.29; p = 0.004), and mean difference (mBMI-inBMI) of 7.3 (SD = 19.2). Concordance between methods was high for those with premorbid growth trajectories in the 'normal' range (5th-84th). However, %mBMI was consistently lower than %inBMI for those with < 5th percentile trajectories (i.e., overestimating malnutrition) and higher for ≥ 85th trajectories (i.e., underestimating malnutrition).

conclusionsEstimates of malnutrition severity differed meaningfully when using population median vs. individual growth trajectories. Individualized expected BMIs may offer a patient-centered alternative for assessing malnutrition severity, particularly among youth with premorbid growth in under or overweight ranges.

Indexed as

AdolescenceBody mass indexEating disordersMalnutritionMedian body mass index (mBMI)

Identifiers

PMID41904540
PMCPMC13154540

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