BMC Public Health (Jun 2024)

Impact of health literacy, social support, and socioeconomic position on the serum uric acid level in asymptomatic hyperuricaemia patients in China: a structural equation model

  • Yunfang Jing,
  • Lilai Ma,
  • Yuanfan Zhang,
  • Xiaohong Li,
  • Jun Jiang,
  • Jie Long,
  • Ling Ma

DOI
https://doi.org/10.1186/s12889-024-19085-6
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 12

Abstract

Read online

Abstract Background Hyperuricaemia (HUA) poses a significant public health challenge on a global scale. It is mostly asymptomatic hyperuricemia (AHU) with unsatisfactory recognition and control rates. The role of health literacy in influencing health outcomes is of utmost importance, and enhancing health literacy is helpful for patients in managing risk factors. Additionally, social support and socioeconomic position (SEP) have been identified as potential factors influencing health. However, the exact relationships between these factors and AHU remain unclear. This study aimed to investigate the status of health literacy among patients with AHU and explore the relationships between health literacy, social support, SEP, and serum uric acid (SUA) levels. Methods A cross-sectional study was conducted among 349 participants with AHU in Luzhou, China. The research instruments included a sociodemographic characteristics questionnaire, the Health Literacy Scale for Chronic Patients (HLSCP), and the Social Support Scale (SSRS). The construction of the SEP index was achieved through the application of principal component analysis. Univariate and hierarchical regression analyses were used to evaluate the associations between SEP, social support, health literacy, and SUA levels. Furthermore, structural equation modelling (SEM) was utilized to examine these associations. Results (1) Most patients exhibited low health literacy (90.18 ± 15.11), and only 44.4% possessed basic health literacy. (2) SEP was positively correlated with SUA levels (β = 4.086, P < 0.001), and health literacy was negatively related to SUA levels (β = -0.399, P < 0.001). There was no significant relationship between social support and SUA levels (β = 0.051, t = 1.085). (3) Health literacy mediated the association between SEP and SUA levels (β = -0.490, 95% CI: -0.620 to -0.382). SEP had a direct positive effect on SUA levels (β = 0.723) and health literacy (β = 0.696), and the total effect of SEP on SUA levels was 0.233. Conclusions The findings indicate a low level of health literacy among patients with AHU and suggest that health literacy might play a mediating role in the relationship between SEP and SUA levels. Consequently, future initiatives are recommended to prioritize health literacy and devise appropriate intervention strategies to enhance the self-management capabilities of patients with AHU.

Keywords