中老年人手握力减弱和不对称与日后疼痛风险的关系:四个前瞻性队列的结果

IF 2.2 Q3 GERIATRICS & GERONTOLOGY
Aging Medicine Pub Date : 2024-10-10 DOI:10.1002/agm2.12365
Yuanpeng Zhu, Haoran Zhang, Terry Jianguo Zhang, Nan Wu
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引用次数: 0

摘要

目标 中老年人的疼痛负担相当沉重,大大增加了医疗支出。我们旨在研究手握力(HGS)的弱点和不对称在预测四个具有全国代表性的队列中的疼痛方面所起的作用。 方法 这项纵向研究利用了四项主要调查的数据:健康与退休研究(HRS);英国老龄化纵向研究(ELSA);欧洲健康、老龄化与退休调查(SHARE);以及中国健康与退休纵向研究(CHARLS)。采用多变量立方回归样条直观地探讨了每个队列中 HGS 与疼痛之间的非线性关系。采用 Cox 比例危险模型分析 HGS 弱性和不对称与疼痛风险之间的独立和组合关系。 结果 我们在最终分析中纳入了 41 171 名参与者,平均随访时间为 4.68 ± 2.61 年(50.7% 为女性,平均年龄为 64.3 ± 9.3 岁)。HGS 与疼痛发生率之间未发现非线性关系(ELSA 和 SHARE 的非线性 p 为 0.05;CHARLS 和 HRS 的非线性 p 为 0.05)。经调整后,在所有队列中,与最低四分位组相比,最高四分位组的疼痛风险明显降低,危险比分别为:CHARLS:0.81 (0.74, 0.89);HRS:0.86 (0.77, 0.97);ELSA:0.88 (0.77, 0.98);SHARE:0.78 (0.73, 0.84)。HGS 正常的参与者与 HGS 较弱的参与者相比,疼痛风险降低了约 20%。HGS 每增加 5 千克,疼痛的危险比就会降低:CHARLS 为 0.95 (0.93, 0.97),HRS 为 0.97 (0.94, 0.99),ELSA 为 0.96 (0.94, 0.99),SHARE 为 0.94 (0.92, 0.95)。HGS 不对称与疼痛风险之间的关系仅在少数队列中显著(HRS 为 10%,1.10 (1.03, 1.18);SHARE 为 30%,1.12 (1.05, 1.21))。没有观察到 HGS 弱化和不对称对疼痛风险的交互作用(所有交互作用的 p 值均为 0.05)。 结论 我们的研究结果表明,在欧洲、美国和中国的中老年人群中,HGS 可作为疼痛的独立预测指标。然而,我们的结果并不支持将 HGS 不对称作为疼痛风险的独立预测指标。有必要在不同人群中建立适当的 HGS 不对称标准。使用弱 HGS 和不对称作为健康结果的预测指标需要在更多样化的人群中进一步验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Association of handgrip strength weakness and asymmetry with later life pain risk in middle-aged and older individuals: Results from four prospective cohorts

Association of handgrip strength weakness and asymmetry with later life pain risk in middle-aged and older individuals: Results from four prospective cohorts

Objectives

The burden of pain in middle-aged and older adults is considerable and significantly increases healthcare expenditures. We aimed to investigate the roles of handgrip strength (HGS) weakness and asymmetry in predicting pain across four nationally representative cohorts.

Methods

This longitudinal study utilized data from four major surveys: the Health and Retirement Study (HRS); the English Longitudinal Study of Ageing (ELSA); the Survey of Health, Ageing and Retirement in Europe (SHARE); and the China Health and Retirement Longitudinal Study (CHARLS). Multivariable cubic regression splines were employed to visually explore the nonlinear associations between HGS and pain in each cohort. The Cox proportional hazard model was applied to analyze the independent and combined relationship between HGS weakness and asymmetry and pain risk.

Results

We included 41,171 participants in the final analysis, with a mean follow-up period of 4.68 ± 2.61 years (50.7% female, mean age 64.3 ± 9.3 years). No nonlinear relationship was found between HGS and pain incidence (nonlinear p < 0.05 in ELSA and SHARE; >0.05 in CHARLS and HRS). After adjustment, the highest quartile groups had a significantly reduced risk of pain compared to the lowest quartile groups across all cohorts, with hazard ratios of 0.81 (0.74, 0.89) in CHARLS, 0.86 (0.77, 0.97) in HRS, 0.88 (0.77, 0.98) in ELSA, and 0.78 (0.73, 0.84) in SHARE. Participants with normal HGS had approximately 20% lower risk of pain compared to those with weak HGS. Each 5 kg increase in HGS was associated with decreased hazard ratios for pain: 0.95 (0.93, 0.97) in CHARLS, 0.97 (0.94, 0.99) in HRS, 0.96 (0.94, 0.99) in ELSA, and 0.94 (0.92, 0.95) in SHARE. The association between HGS asymmetry and pain risk was significant only in a few cohorts (HRS at 10%, 1.10 (1.03, 1.18); SHARE at 30%, 1.12 (1.05, 1.21)). No interaction effect between HGS weakness and asymmetry on pain risk was observed (all p-values for interaction >0.05).

Conclusions

Our findings suggest that HGS can be used as an independent predictor of pain in middle-aged and older European, American, and Chinese populations. However, our results do not support the use of HGS asymmetry as an independent predictor of pain risk. It is necessary to establish appropriate criteria for HGS asymmetry across different populations. The use of both weak HGS and asymmetry as predictors of health outcomes requires further validation in more diverse populations.

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来源期刊
Aging Medicine
Aging Medicine Medicine-Geriatrics and Gerontology
CiteScore
4.10
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