The relationships between figure rating scale, anthropometric measures, and cardiometabolic outcomes: the AADM study.

Ayo P Doumatey, Amira Idris, Jie Zhou, Adebowale Adeyemo, Charles Rotimi

Abstract read

In one paragraph

Article in Diabetes & metabolic syndrome, 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.

Ayo P DoumateyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: doumateya@mail.nih.gov.

Amira IdrisCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Jie ZhouCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Adebowale AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: adeyemoa@mail.nih.gov.

Charles RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Funding

Intramural NIH HHS Z99 HG999999

6 · The paper itself

Abstract

introductionDirect measurement of anthropometrics can be impractical in research. Validated Figure Rating Scales (FRS) offer an alternative, but their validity across populations remains limited.

objectivesThis study aimed to analyze the relationships between figure rating scale (FRS) and anthropometric measures (body mass index (BMI); waist circumference (WC), and waist-to-hip ratio (WHR)) and to specifically evaluate FRS at the time of enrollment and lifetime body size, an FRS-derived score as risk factors for cardiometabolic traits including type 2 diabetes (T2D).

methodsParticipants consisted of 650 adults from the America Africa Diabetes Mellitus study. Kendall's tau coefficient (τ) was used to analyze correlations between FRS at the time of enrollment, overall obesity, and abdominal obesity. Regression models were used to evaluate FRS at the time of enrollment and lifetime body size as risk factors for T2D, and related traits.

resultsBMI and WHR increased monotonically with increasing body size. FRS at the time of enrollment showed a stronger correlation with BMI (τ = 0.48, p < 0.0001) than with WHR (τ = 0.17, p < 0.0001) in women. Lifetime body size was significantly associated with T2D (OR = 1.044, 95% Confidence Limit: [1.006, 1.08]; both FRS at the time of enrollment and lifetime body size were associated with insulin resistance. Diastolic blood pressure was associated with FRS at the time of enrollment.

conclusionsFRS at the time of enrollment is significantly associated with BMI and WHR in this population and lifetime body size, a novel composite score, shows promising utility as a predictor of T2D.

Indexed as

AnthropometryBody Mass IndexCardiovascular DiseasesDiabetes Mellitus, Type 2ObesityAdultCardiometabolic Risk FactorsFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRisk FactorsWaist CircumferenceWaist-Hip Ratio

Identifiers

PMID42542002

DOI10.1016/j.dsx.2026.103456

PMCPMC13648172

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

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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.