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代谢综合征及其成分与帕金森病的关联:一项横断面研究。

Association of metabolic syndrome and its components with Parkinson's disease: a cross-sectional study.

机构信息

Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Meishan Hospital of Traditional Chinese Medicine, Meishan, China.

出版信息

BMC Endocr Disord. 2024 Jun 19;24(1):92. doi: 10.1186/s12902-024-01623-3.

Abstract

BACKGROUND

The interrelation between metabolic syndrome (MetS) and Parkinson's disease (PD) likely arises from shared pathological mechanisms. This study thus aims to examine the impact of MetS and its components on PD.

METHODS

This study utilized data extracted from the National Health and Nutrition Examination Survey database spanning 1999 to 2020. The random forest algorithm was applied to fill in the missing data. Propensity score optimal full matching was conducted. The data were adjusted by total weights derived from both sampling and matching weights. The weighted data were utilized to create multifactor logistic regression models. Odds ratios (ORs) and average marginal effects, along with their corresponding 95% confidence intervals (CIs), were calculated.

RESULTS

MetS did not significantly affect the risk of PD (OR: 1.01; 95% CI: 0.77, 1.34; P = 0.92). Hypertension elevated the risk of PD (OR: 1.33; 95% CI: 1.01, 1.76; P = 0.045), accompanied by a 0.26% increased probability of PD occurrence (95% CI: 0.01%, 0.52%; P = 0.04). Diabetes mellitus (DM) had a 1.38 times greater likelihood of developing PD (OR:1.38; 95% CI: 1.004, 1.89; P = 0.046), corresponding to a 0.32% increased probability of PD occurrence (95% CI: -0.03%, 0.67%; P = 0.07). Nevertheless, no correlation was observed between hyperlipidemia, waist circumference and PD.

CONCLUSION

MetS does not affect PD; however, hypertension and DM significantly increase the risk of PD.

摘要

背景

代谢综合征 (MetS) 和帕金森病 (PD) 之间的相互关系可能源于共同的病理机制。因此,本研究旨在探讨 MetS 及其成分对 PD 的影响。

方法

本研究利用了 1999 年至 2020 年期间从国家健康和营养检查调查数据库中提取的数据。应用随机森林算法填补缺失数据。采用倾向评分最优完全匹配法进行匹配。数据经过总权重调整,总权重由抽样权重和匹配权重得出。利用加权数据创建多因素逻辑回归模型。计算比值比 (OR) 和平均边际效应及其相应的 95%置信区间 (CI)。

结果

MetS 不会显著影响 PD 的发病风险(OR:1.01;95%CI:0.77,1.34;P=0.92)。高血压增加 PD 的发病风险(OR:1.33;95%CI:1.01,1.76;P=0.045),发生 PD 的概率增加 0.26%(95%CI:0.01%,0.52%;P=0.04)。糖尿病患 PD 的可能性增加 1.38 倍(OR:1.38;95%CI:1.004,1.89;P=0.046),发生 PD 的概率增加 0.32%(95%CI:-0.03%,0.67%;P=0.07)。然而,高脂血症和腰围与 PD 之间没有相关性。

结论

MetS 不会影响 PD,但高血压和糖尿病会显著增加 PD 的发病风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4138/11186221/dbb9ef030506/12902_2024_1623_Fig1_HTML.jpg

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