Cited by 198Cancer Risks and FactorsNutrition and Health in AgingBody Composition Measurement Techniques

The obesity paradox in cancer-moving beyond BMI

Open access
Strulov Shachar, Shlomit, Williams, Grant R.·2017·Cancer Epidemiology, Biomarkers & Prevention

Abstract

Body mass index (BMI) and simple counts of weight are easy and available tools in the clinic and in research. Recent studies have shown that cancer patients with a low normal BMI (or those with weight loss) have worse outcomes than obese patients. These results suggest that obesity has a protective effect and has been termed the "obesity paradox." In this commentary, we discuss hypothetical explanations and take a step beyond BMI or simple weights alone to present other useful and more specific body composition metrics, such as muscle tissue mass, visceral fat mass, and subcutaneous fat mass. Body composition is highly variable between individuals with significant differences seen between various races and ages. Therefore, it is critical to consider that patients with the exact same BMI can have significantly different body compositions and different outcomes. We encourage further studies to examine body composition beyond BMI and to use other body composition metrics to develop individualized treatments and intervention strategies. Cancer Epidemiol Biomarkers Prev; 26(1); 13-16. ©2017 AACR SEE ALL THE ARTICLES IN THIS CEBP FOCUS SECTION, "THE OBESITY PARADOX IN CANCER EVIDENCE AND NEW DIRECTIONS".

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1158/1055-9965.epi-16-0439

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Recent studies show low/normal weight (BMI) is associated with poorer outcomes including increased mortality for cancer survivors when compared to obese cancer survivors - a phenomenon called the obesity paradox.

    “Recent studies show low/normal weight (BMI) is associated with poorer outcomes including increased mortality for cancer survivors when compared to obese cancer survivors – a phenomenon called “the obesity paradox” (Strulov Shachar and Williams, 2017).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 52 · Cited by 198

Authors
Strulov Shachar, S., & Williams, G. R.
Affiliations
  • 1UNC Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina.
  • University of North Carolina at Chapel Hill (US)
Venue
Cancer Epidemiology, Biomarkers & Prevention
Published
2017-01-01
Volume
26
Issue
1
Pages
13-16
ISSN
  • 1055-9965 (ISSN-L)
  • 1538-7755
OpenAlex
W2570629783
Cited by
198
References
52
Citations by year
2026: 16 · 2025: 28 · 2024: 26 · 2023: 19 · 2022: 26 · 2021: 31 · 2020: 24 · 2019: 15 · 2018: 5 · 2017: 8
FWCI
1.49
Type
journal article
Language
en
Open access
Locations
  • Cancer Epidemiology Biomarkers & Prevention (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
  • UNC Libraries
Funders
UNC (5K12CA120780-07)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Risks and Factors
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
Keywords
obesity paradox, cancer, body mass index, body composition, muscle mass, visceral fat, subcutaneous adipose tissue, weight loss, oncological outcomes
MeSH terms
Adult, Aged, Body Composition, Body Weight, Female, Humans, Male, Middle Aged, Neoplasms, Obesity, Reference Values, Comorbidity, Body Mass Index, Survival Analysis, Risk Assessment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review