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

• Published in: BMC public health Vol. 24; no. 1; pp. 1 - 14
• Main Authors: Ren, Siqiang, Jiang, Xue, Wang, Siya, Wong, Arnold Yu Lok, Bi, Xia, Wang, Xueqiang
• Format: Journal Article
• Language: English
• Published: London BioMed Central Ltd 30.08.2024; BioMed Central; BMC
• Subjects: Activities of daily living; Age groups; Backache; Care and treatment; Chronic diseases; Chronic illnesses; Comorbidity; Demographics; Depression, Mental; Females; Health insurance; Low back pain; Neck; Neck pain; Pain; Population; Population (statistical); Population-based study; Prevalence; Prevalence studies (Epidemiology); Quality of life; Questionnaires; Regression analysis; Regression models; Rural areas; Statistical analysis; Stroke; Stroke patients; Surveys; Variance analysis; China
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-024-19847-2

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. Keywords: Stroke, Neck pain, Low back pain, Population-based study, Prevalence