Evidence map›Paper›PMID 41091468›Full record

ArticleJAMA network open2025

Implications of a New Obesity Definition Among the All of Us Cohort.

Lindsay T Fourman, Aya Awwad, Alba Gutiérrez-Sacristán, Camille A Dash, Julia E Johnson, Allison K Thistle, Nikhita Chahal, Sara L Stockman, Mabel Toribio, Chika Anekwe and 2 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  20. Beyond BMI: incorporating new obesity definitions to guide MS risk stratification.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
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

12 authors.

Lindsay T FourmanMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Aya AwwadMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Alba Gutiérrez-SacristánDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Camille A DashMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Julia E JohnsonMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Allison K ThistleMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Nikhita ChahalMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Sara L StockmanMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Mabel ToribioMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Chika AnekweMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Arijeet K GattuMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.
Steven K GrinspoonMetabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston.

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
Tesamorelin as an Adjunct to Exercise for Improving Physical Function in HIV (TRIUMPH)R01AG087809 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Kristine Mace Erlandson, Lindsay Tara Fourman · 2024 to 2026
$2.2M
NIA NIH HHS R01 AG087809NIDDK NIH HHS P30 DK040561NIDDK NIH HHS T32 DK007028
6 · The paper itself

Abstract

Importance: A recent Lancet Commission proposed an obesity definition that integrates body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]) with anthropometric measures, marking a paradigm shift in how obesity is conceptualized and classified. Objective: To determine the clinical implications of the new definition of obesity. Design, Setting, and Participants: This population-based longitudinal cohort study leveraged data from the All of Us cohort. Participants in All of Us with complete anthropometric data were enrolled between May 31, 2017, and September 30, 2023, with a median follow-up of 4.0 (IQR, 1.7-4.7) years. Exposure: Obesity classified by traditional and new definitions. Main Outcomes and Measures: Obesity was defined by the new framework using sex- and race-specific thresholds as (1) BMI above the traditional obesity threshold plus at least 1 elevated anthropometric measure or BMI greater than 40 (BMI-plus-anthropometric obesity) or (2) at least 2 elevated anthropometric measures with BMI below the traditional obesity threshold (anthropometric-only obesity). Obesity was categorized as clinical or preclinical based on organ dysfunction and/or physical limitation. Results: Among 301 026 individuals (183 633 [61.0%] female; median age, 54 [IQR, 38-65] years), 206 361 (68.6%) had obesity according to the new definition vs 128 992 (42.9%) according to the traditional definition, due to inclusion of individuals with anthropometric-only obesity. Among the overall cohort, 108 650 individuals (36.1%) had clinical obesity according to the new definition; this prevalence increased with age, as 24 498 of 45 018 individuals 70 years or older (54.4%) had clinical obesity. Compared with no obesity, odds ratios of organ dysfunction were 3.31 (95% CI, 3.24-3.37) for BMI-plus-anthropometric obesity and 1.76 (95% CI, 1.73-1.80) for anthropometric-only obesity per the new definition. In longitudinal analyses, clinical obesity conferred elevated risks of incident diabetes (adjusted hazard ratio [AHR], 6.11; 95% CI, 5.67-6.60), cardiovascular events (AHR, 5.88; 95% CI, 5.38-6.43), and all-cause mortality (AHR, 2.71; 95% CI, 2.41-3.05) compared with no obesity or organ dysfunction. Preclinical obesity was also associated with increased risks of incident diabetes (AHR, 3.32; 95% CI, 3.08-3.58) and cardiovascular events (AHR, 1.40; 95% CI, 1.27-1.55), albeit to a lesser degree. Conclusions and Relevance: In this cohort study, adoption of the new definition of obesity significantly increased obesity prevalence with major implications for clinical practice and public policy. The new framework effectively stratified individuals at high risk of organ dysfunction and long-term complications while introducing anthropometric-only obesity and preclinical obesity as distinct entities warranting further study.

Indexed as

ObesityAdultAgedAnthropometryBody Mass IndexCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited States

Identifiers

PMID41091468
PMCPMC12529213

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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.