Association of handgrip strength asymmetry with prodromal and incident Parkinson's disease: A prospective cohort study.

IF 5.9 3区 医学 Q2 NEUROSCIENCES
Min Cai, Xiao Chen, Sheng Zhuang, Yaqi Li, Fan Chen, Xiang Gao
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引用次数: 0

Abstract

BackgroundAsymmetry symptoms are well recognized in Parkinson's disease (PD). However, whether handgrip strength (HGS) asymmetry can prospectively predict incident PD remains unknown.ObjectivesTo prospectively examine the association between HGS asymmetry and subsequent risk of incident PD.MethodsIncluded were 497,100 participants without PD at baseline from the UK Biobank. HGS asymmetry index was calculated by dividing the absolute inter-hand difference in HGS by the average HGS of the two hands. The primary outcome was incident PD identified through hospital admissions, death registries, and self-reported data. As secondary outcome, prodromal PD was defined as the presence of ≥3 out of 8 prodromal PD features assessed through self-reported data, hospital admission records and primary care data. The associations were evaluated using Cox regression models. Several lag analyses were conducted to examine how many years in advance could HGS asymmetry predict incident PD.ResultsDuring a median follow-up of over 13 years, 2868 participants developed PD. HGS asymmetry (highest vs. lowest quartile) was associated with higher risk of developing PD (HR = 1.23; 95% CI: 1.10, 1.37) (P-trend < 0.001). Lag analysis suggested that HGS asymmetry could even predict incident PD in 8 years. Significant association between HGS asymmetry and prodromal PD risk was also observed. The significant associations between HGS asymmetry and PD risk persisted when further excluding those with low HGS or prodromal PD.ConclusionsHigher HGS asymmetry was associated with a higher risk of incident PD, suggesting the potential of HGS asymmetry as an early indicator for PD.

握力不对称与帕金森病前驱和发病的关系:一项前瞻性队列研究。
背景:不对称症状在帕金森病(PD)中得到了很好的认识。然而,手握强度(HGS)不对称是否可以预测PD的发生尚不清楚。目的探讨HGS不对称与PD发病风险的关系。方法纳入来自UK Biobank的497,100名基线时无PD的参与者。HGS不对称指数的计算方法是用双手间HGS的绝对差值除以双手平均HGS值。主要结局是通过住院、死亡登记和自我报告数据确定的PD事件。作为次要结局,通过自我报告数据、住院记录和初级保健数据评估的8个前驱PD特征中,前驱PD被定义为存在≥3个。使用Cox回归模型评估相关性。进行了几项滞后分析,以检验HGS不对称可以提前多少年预测PD的发生。结果在平均超过13年的随访期间,2868名参与者发展为帕金森病。HGS不对称(最高四分位数vs最低四分位数)与患PD的高风险相关(HR = 1.23; 95% CI: 1.10, 1.37) (p趋势)
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来源期刊
CiteScore
8.40
自引率
5.80%
发文量
338
审稿时长
>12 weeks
期刊介绍: The Journal of Parkinson''s Disease (JPD) publishes original research in basic science, translational research and clinical medicine in Parkinson’s disease in cooperation with the Journal of Alzheimer''s Disease. It features a first class Editorial Board and provides rigorous peer review and rapid online publication.
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