Evidence map›Paper›PMID 40185817›Full record

ArticleScientific reports2025

Exploring the relationship between fat mass index and metabolic syndrome among cancer patients in the U.S: An NHANES analysis.

Xiuxiu Qiu, Qi Gao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

2 authors.

Xiuxiu QiuDepartment of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Qi GaoInstitute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, 100700, China. keysha@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data regarding the connection between Fat Mass Index (FMI) and Metabolic Syndrome (MetS) in cancer survivors remain limited. This study aimed to assess the association between FMI and the likelihood of MetS among cancer survivors by conducting a population-based cross-sectional study. This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) to examine a sample of 799 adult cancer survivors, aged over 20 years old, spanning the years 1999-2006 and 2011-2018. MetS was defined according to the criteria established by the Adult Treatment Panel III of the National Cholesterol Education Program (NCEP). To explore the association between fat mass index FMI and the prevalence of MetS among cancer survivors, multivariate logistic regression analyses were conducted. Additionally, restricted cubic splines were used to assess both linear and nonlinear relationships between FMI and MetS. After adjusting for potential confounders, the logistic regression analysis of multistage weighted complex sampling data demonstrated that a higher FMI significantly increased the odds of developing MetS (odds ratio [OR] = 1.33, 95% confidence interval [CI]: 1.09-1.61, p = 0.01). This association remained robust when FMI was categorized into tertiles. Specifically, the adjusted ORs for MetS in the second and third tertiles were 4.80 (95% CI: 1.95-11.79) and 8.95 (95% CI: 2.51-31.94), respectively (p for trend = 0.001). Furthermore, our analysis indicated a significant nonlinear relationship between FMI and the likelihood of MetS (p < 0.0001). In this research, we discovered that an elevated FMI is significantly associated with a higher prevalence of MetS among cancer survivors in the U.S. adult population. These findings underscore the importance of managing body fat to prevent MetS in this group.

Indexed as

Metabolic SyndromeNeoplasmsAdultAgedBody Mass IndexCancer SurvivorsCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesCancer patientCross-sectional studyFat mass indexMetabolic syndromeNHANES

Identifiers

PMID40185817
PMCPMC11971296

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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.