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卒中患者颈痛和腰痛的患病率及相关因素:来自 CHARLS 的见解。

The prevalence and factors associated with neck and low back pain in patients with stroke: insights from the CHARLS.

机构信息

School of Exercise and Health, Shanghai University of Sport, Shanghai, 200438, China.

Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.

出版信息

BMC Public Health. 2024 Aug 30;24(1):2362. doi: 10.1186/s12889-024-19847-2.

DOI:10.1186/s12889-024-19847-2
PMID:39215249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11365250/
Abstract

BACKGROUND

Although stroke is prevalent among Chinese, individuals with stroke may become more disabling if they have concomitant neck pain (NP) and low back pain (LBP). However, the prevalence and factors associated with post-stroke spinal pain among Chinese remain unknown. The current study used the 2018 cohort data from the China Health and Aged Care Tracking Survey (CHARLS) to determine the prevalence and factors associated with increased post-stroke NP and LBP in China.

METHODS

The CHARLS study was conducted on four cohorts of nationally representative samples of individuals aged 45 years and above from 30 provincial-level administrative units in China. We used data from the 2018 cohort of the CHARLS survey to determine the prevalence and factors associated with NP and LBP in the non-stroke and post-stroke populations. Participants aged 45 years or older who reported to have NP, and/or LBP were identified. The study was statistically analyzed using t-test, and ANOVA analysis of variance. A multiple logistic regression model was used to identify factors significantly associated with NP and/or LBP in the non-stroke and post-stroke populations.

RESULTS

A total of 19,816 individuals participated in the 2018 survey. The final inclusion of 17,802 subjects who met the criteria included 16,197 non-stroke and 885 stroke participants. The prevalence of NP and LBP in non-stroke population was 17.80% (95% CI: 17.21-18.39) and 37.22% (95% CI: 36.47-37.96), respectively. The prevalence of NP and LBP in the target stroke population was 26.44% (95% CI: 23.53-29.35) and 45.42% (95% CI: 42.14-48.71), respectively, and the difference was statistically significant (p < 0.05). Factors associated with increased post-stroke NP included female, short sleep duration, long lunch break, physical dysfunction, and depression. Factors associated with increased post-stroke LBP included female, comorbidities of two or more chronic diseases, physical dysfunction, and depression.

CONCLUSION

The current study highlighted the high prevalence of post-stroke neck pain (26.44%) and LBP (45.42%) in China. While slightly different associated factors were found to be associated with a higher prevalence of post-stroke NP and LBP, female and individuals with more physical dysfunction or depression were more likely to experience post-stroke spinal pain. Clinicians should pay more attention to vulnerable individuals and provide pain management measures.

摘要

背景

尽管中风在中国很常见,但如果中风患者同时患有颈部疼痛(NP)和下背部疼痛(LBP),他们可能会变得更加残疾。然而,中国人中风后脊柱疼痛的患病率和相关因素仍不清楚。本研究使用 2018 年中国健康与养老追踪调查(CHARLS)的队列数据,确定中国中风后 NP 和 LBP 增加的患病率和相关因素。

方法

CHARLS 研究对来自中国 30 个省级行政单位的四个全国代表性 45 岁及以上人群的队列进行了研究。我们使用 CHARLS 调查 2018 年队列的数据,确定非中风和中风人群中 NP 和 LBP 的患病率和相关因素。确定报告有 NP 和/或 LBP 的 45 岁或以上参与者。使用 t 检验和方差分析(ANOVA)对研究进行统计学分析。使用多因素逻辑回归模型确定非中风和中风人群中与 NP 和/或 LBP 显著相关的因素。

结果

共有 19816 人参加了 2018 年的调查。最终纳入了符合标准的 17802 名受试者,其中包括 16197 名非中风和 885 名中风患者。非中风人群 NP 和 LBP 的患病率分别为 17.80%(95%CI:17.21-18.39)和 37.22%(95%CI:36.47-37.96)。目标中风人群 NP 和 LBP 的患病率分别为 26.44%(95%CI:23.53-29.35)和 45.42%(95%CI:42.14-48.71),差异有统计学意义(p<0.05)。与中风后 NP 增加相关的因素包括女性、睡眠不足、午餐时间长、身体功能障碍和抑郁。与中风后 LBP 增加相关的因素包括女性、两种或两种以上慢性病合并症、身体功能障碍和抑郁。

结论

本研究强调了中国中风后颈部疼痛(26.44%)和下背部疼痛(45.42%)的高患病率。虽然发现略有不同的相关因素与较高的中风后 NP 和 LBP 患病率相关,但女性和身体功能障碍或抑郁更严重的个体更有可能经历中风后脊柱疼痛。临床医生应更加关注高危人群,并提供疼痛管理措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b117/11365250/76d649c54d10/12889_2024_19847_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b117/11365250/a199e32d0775/12889_2024_19847_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b117/11365250/2bbcb4fcc4d9/12889_2024_19847_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b117/11365250/76d649c54d10/12889_2024_19847_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b117/11365250/a199e32d0775/12889_2024_19847_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b117/11365250/2bbcb4fcc4d9/12889_2024_19847_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b117/11365250/76d649c54d10/12889_2024_19847_Fig3_HTML.jpg

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