Evidence map›Paper›PMID 40140776›Full record

ArticleBMC public health2025

Associations between life's essential 8 and arthritis among adults in United States: a national-wide longitudinal study.

Feiying He, Xiangchun Xu, Hongwen Yu, Ziyang Miao, Zhaolin Fu, Lei Shi

Abstract read
In one paragraph

Article in BMC public health, 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

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

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

6 authors.

Feiying He *School of Health Management, Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0001-6621-0279
Xiangchun Xu *Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0009-0004-1513-9811
Hongwen Yu *Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0002-4269-5651
Ziyang MiaoSchool of Computer Science and Engineering, Central South University, Changsha, China.ORCID http://orcid.org/0009-0006-1044-1557
Zhaolin FuSchool of Public Health, Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0009-0009-3793-9971
Lei ShiSchool of Health Management, Southern Medical University, Guangzhou, China. gyshilei@gzhmu.edu.cn.ORCID http://orcid.org/0000-0002-8924-0734

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515010902National Natural Science Foundation of China 72104098Open Fund of Key Research Base of Philosophy and Social Science of Higher Education in Guangdong Province-Local Government Development Research Institute of Shantou University 07423002-07Science and Technology Projects in Guangzhou 2025A04J 4169the 13th Five-Year Plan of Guangdong Province for Philosophy and Social Sciences GD20XGL42
6 · The paper itself

Abstract

backgroundArthritis, a common condition in the U.S., is caused by autoimmune reactions, osteoarticular injuries, and uric acid deposition. It affects around 25% of adults and is strongly linked to cardiovascular disease. The American Heart Association's Life's Essential 8 (LE8) composite, which considers cardiovascular health factors, has been studied for its predictive capacity in assessing arthritis risk. The study aims to provide tailored prevention recommendations and monitor factors associated with arthritis within the LE8 framework specifically for arthritic individuals.

methodsThis population-based study used data from the U.S. NHANES (2017-2020) for adults aged 20 + . Multivariate logistic and restricted cubic spline modeling explored the relationship between LE8 and arthritis, revealing significant nonlinearity (P < 0.001). Gradient Boosting Decision Trees were employed to conduct a predictive model of Arthritis risk.

resultsThrough study, we found that idealer LE8 scores correlated with poorer arthritis risk. Subgroup analyses ideallighted poorer scores for smoking (P < 0.002, poor_socre and intermediate_score) and physical activity(P = 0.001, poor_score) as significant risk factors. Gradient Boosting Decision Trees predicted disease risk, with age, HDL cholesterol, and blood pressure identified as the three most significant predictive factors.

conclusionThe LE8 score in U.S. adults shows a negative association with arthritis outcomes, with arthritis prevalence decreasing as the score increases. poorer Smoke and Physical Exercise Time components and intermediate Blood Glucose scores may be arthritis risk factors. The LE8 may help identify arthritis risk early and reduce its burden.

Indexed as

ArthritisAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedNutrition SurveysRisk AssessmentRisk FactorsUnited StatesYoung AdultArthritisCardiovascular healthGradient Boosting Decision TreeLife’s essential 8United States

Identifiers

PMID40140776
PMCPMC11948913

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.