Evidence mapPaperPMID 42334508Full record

ReviewCurrent obesity reports2026

Beyond Single Anthropometric Measures: Integrating Waist Circumference and Body Mass Index to Stratify Obesity-Related Health Risk.

Robert Ross, Ian Janssen, Jean-Pierre Després

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In one paragraph

Review in Current obesity reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Robert RossSchool of Kinesiology and Health Studies, Queen's University, 28 Division Street, Kingston, K7L 3N6, Ontario, Canada. rossr@queensu.ca.ORCID http://orcid.org/0000-0001-6875-785X
Ian JanssenSchool of Kinesiology and Health Studies, Queen's University, 28 Division Street, Kingston, K7L 3N6, Ontario, Canada.ORCID http://orcid.org/0000-0003-2159-3012
Jean-Pierre DesprésDepartment of kinesiology, Faculty of Medicine, Université Laval, and VITAM - Centre de recherche en santé durable, CIUSSS de la Capitale-Nationale, G1J 2G1, Québec, Canada.ORCID http://orcid.org/0000-0002-5193-583X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of the reviewWaist circumference (WC) in combination with body mass index (BMI) provides unique opportunities to capture the heterogeneous nature of obesity and identify phenotypes that convey the greatest health risk. This review summarizes evidence supporting global recognition that WC and BMI should be routinely documented in health care. Differences in risk stratification when WC and BMI are used in categorical versus continuous models are examined, and strategies to increase routine measurement in clinical settings are discussed. RECENT

findingsLeading authorities worldwide including the Lancet Obesity Commission and the European Association for the Study of Obesity recognize obesity as a heterogeneous condition requiring combined interpretation of WC and BMI to identify distinct phenotypes. Obesity-related risk differs substantially depending on whether WC and BMI are treated as categorical or continuous measures. Current risk stratification systems rely on categorical approaches that have clinically relevant limitations, including loss of risk resolution from applying a single WC cut-point across BMI categories. Evidence further shows that associations between WC and adverse outcomes strengthen after adjustment for BMI, and that when WC and BMI are modeled simultaneously as continuous variables, WC consistently emerges as a stronger predictor of health outcomes, while associations with BMI are attenuated or reversed. WC and BMI combined are simple tools that facilitate the identification of obesity heterogeneity and phenotypes associated with elevated health risk. Risk estimates differ depending on whether WC and BMI are modeled as categorical or continuous variables, with implications for how obesity-related risk is assessed and interpreted in practice. Recommendations for their optimal combined use, including a proof-of-concept nomogram to support clinical interpretation, are provided. Despite guideline recommendations worldwide, BMI and WC remain infrequently documented in clinical practice. This implementation gap represents a missed, low-cost opportunity to improve public health messaging, risk stratification, and clinical management of obesity-related risk.

Indexed as

Body Mass IndexObesityWaist CircumferenceAnthropometryHumansPhenotypeRisk AssessmentRisk FactorsAbdominal obesityAnthropometryBody mass indexWaist circumference

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.