Association between osteoarthritis with Parkinson's disease in the US (NHANES 2011-2020)

Yang Liu; Xue Zhou; Chunhai Chen; Xuefeng Li; Ting Pan; Ziqi Liu; Dalong Wu; Xinhua Chen

doi:10.3389/fnins.2024.1393740

Association between osteoarthritis with Parkinson's disease in the US (NHANES 2011-2020)

Front Neurosci. 2024 Aug 21:18:1393740. doi: 10.3389/fnins.2024.1393740. eCollection 2024.

Authors

Yang Liu^#¹, Xue Zhou^#¹, Chunhai Chen², Xuefeng Li¹, Ting Pan², Ziqi Liu¹, Dalong Wu², Xinhua Chen²

Affiliations

¹ Changchun University of Chinese Medicine, Changchun, China.
² The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, China.

^# Contributed equally.

Abstract

Objected: To evaluate the association between osteoarthritis (OA) and Parkinson's disease (PD) in adults in the United States.

Methods: Using 2011-2020 NHANES data, a cross-sectional study of 11,117 adults over the age of 40 was conducted. Univariate logistic regression and multivariate logistic regression were used to analyze the relationship between arthritis and PD. In addition, stratified analysis was used to examine whether the relationship between arthritis and PD was interactive with age, gender, race, education, BMI.

Results: In this study, a total of 11,117 participants were included, and we found that osteoarthritis was positively correlated with the development of PD compared with non-arthritis patients [1.95 (1.44 ~ 2.62)] (p < 0.001). After adjusting the covariates, the results are still stable.

Conclusion: PD patients were positively correlated with OA. Among people with OA, there was a 95% increased risk of PD compared to people without arthritis. Therefore, when treating OA, attention should be paid to the increased risk of PD. In the meantime, further studies are needed to explore the link between OA and PD patients.

Keywords: NHANES; Parkinson’s disease; cross-sectional study; neurodegenerative disease; osteoarthritis.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Science and Technology Project of Jilin Provincial Department (20220204006YY) and Development and Reform Commission of Jilin Provincial (2022C041-2).