Evidence map›Paper›PMID 42846690›Full record

ArticleParkinson's disease2026

Association Between Relative Fat Mass and Parkinson's Disease in American Adults: A Large Cross-Sectional Study From NHANES.

Quanhong Chu, Wenfeng Cao

Abstract read
In one paragraph

Article in Parkinson's disease, 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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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Quanhong ChuDepartment of Neurology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, No, 266 Fenghe North Avenue Honggutan District, Nanchang 330038, Jiangxi, China, jxsrmyy.cn.ORCID https://orcid.org/0000-0003-4374-9700
Wenfeng CaoDepartment of Neurology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, No, 266 Fenghe North Avenue Honggutan District, Nanchang 330038, Jiangxi, China, jxsrmyy.cn.ORCID https://orcid.org/0009-0009-3590-2155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Numerous studies have sought to investigate the link between obesity and Parkinson's disease (PD), yielding conflicting results. Relative fat mass (RFM) is a novel obesity indicator, yet its association with PD in American adults remains unexplored. This study was designed to explore the potential relationship between RFM and PD in American adults aged 40 and older. Methods: In the present study, we ultimately included 26, 029 participants from the NHANES (1999-2018). In order to evaluate the association between RFM and PD in American adults aged 40 and older, we performed multivariate logistic regression analysis, restricted cubic spline analysis, subgroup analysis, and sensitivity analysis. Furthermore, we conducted receiver operating characteristic (ROC) curve analysis to evaluate the predictive performance of RFM for PD. Results: Of the 26, 029 participants who were included in the study, 245 participants (0.94%) were identified as having PD. After full adjustment for confounding variables, the multivariate models demonstrated a significant positive association between RFM and PD (odds ratio [OR] = 1.40; 95% confidence interval [CI] = 1.11 - 1.77). Specifically, participants in the highest RFM quartile (Q4) had a significantly higher prevalence of PD compared with those in the lowest quartile (Q1) in model II (OR = 2.71, 95% CI: 1.48-4.96). Additionally, subgroup analyses demonstrated that the positive correlation between RFM and PD was significantly more prominent in individuals under the age of 60 ( Conclusions: This study is the first to demonstrate a positive linear association between RFM and PD among American adults aged 40 and older.

Indexed as

cross-sectional studyNHANESobesityParkinson’s diseaserelative fat mass

Identifiers

PMID42846690
PMCPMC13643201

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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.