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Jing Y, Ma L, Zhang Y, Li X, Jiang J, Long J, Ma L. 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. BMC Public Health 2024; 24:1606. [PMID: 38886726 PMCID: PMC11181562 DOI: 10.1186/s12889-024-19085-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 06/07/2024] [Indexed: 06/20/2024] Open
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.
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Affiliation(s)
- Yunfang Jing
- Suining First People's Hospital, Sichuan Province, Suining, 629000, China
| | - Lilai Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Southwest Medical University, Sichuan Province, Luzhou, 646000, China
| | - Yuanfan Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Southwest Medical University, Sichuan Province, Luzhou, 646000, China
| | - Xiaohong Li
- Health Management Center, The Affiliated Hospital, Southwest Medical UniversitySichuan Province, Luzhou, 646000, China
| | - Jun Jiang
- Suining First People's Hospital, Sichuan Province, Suining, 629000, China
| | - Jie Long
- Suining First People's Hospital, Sichuan Province, Suining, 629000, China
| | - Ling Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Southwest Medical University, Sichuan Province, Luzhou, 646000, China.
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Li N, Cui L, Shu R, Song H, Wang J, Chen S, Tse G, Zhang N, Yang X, Xu W, Wu S, Liu T. Distinct uric acid trajectories are associated with incident cardiac conduction block. Arthritis Res Ther 2024; 26:59. [PMID: 38413980 PMCID: PMC10898057 DOI: 10.1186/s13075-024-03288-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 02/16/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND The association of longitudinal uric acid (UA) changes with cardiac conduction block risk is unclear. We aimed to identify the trajectories of UA and explore its association with cardiac conduction block. METHODS A total of 67,095 participants with a mean age of 53.12 years were included from the Kailuan cohort in Tangshan, China, who were free of cardiac conduction block and with repeated measurements of UA from 2006 to 2012. UA trajectories during 2006 to 2012 were identified by group-based trajectory modeling. Cox proportional hazard regression models were used to assess the association of UA trajectories with cardiac conduction block. RESULTS We categorized three observed discrete trajectories of UA during 2006-2012 period: low-stable, moderate-stable, and high-stable. Over a median follow-up of 6.19 years, we identified 1405 (2.09%) incident cardiac conduction block. Compared to those in the low-stable trajectory, the adjusted hazard ratios (HRs) (95% confidence interval [CI]) of cardiac conduction block in the moderate-stable and high-stable trajectory were 1.30 (1.16-1.47) and 1.86 (1.56-2.22), and HRs of atrioventricular block were 1.39 (1.12-1.72) and 2.90 (2.19-3.83), and HRs of bundle branch blocks were 1.27 (1.10-1.47) and 1.43 (1.13-1.79). Notably, although the average UA level in the moderate-stable UA trajectory group is within the normal range, the risk of cardiac conduction block has increased. CONCLUSIONS The moderate-stable and high-stable trajectories are associated with increased risk for new-onset cardiac conduction block. Monitoring UA trajectories may assist in identifying subpopulations at higher risk for cardiac conduction block.
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Affiliation(s)
- Na Li
- Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, No. 23, Pingjiang Road, Hexi District, Tianjin, 300211, People's Republic of China
- Department of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China
| | - Liufu Cui
- Department of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China
| | - Rong Shu
- Department of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China
| | - Haicheng Song
- Department of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China
| | - Jierui Wang
- Department of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China
| | - Gary Tse
- Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, No. 23, Pingjiang Road, Hexi District, Tianjin, 300211, People's Republic of China
- School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China
| | - Nan Zhang
- Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, No. 23, Pingjiang Road, Hexi District, Tianjin, 300211, People's Republic of China
| | - Xuemei Yang
- School of Clinical Medicine, North China University of Science and Technology, Tangshan, Hebei, China
| | - Wenqi Xu
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
| | - Tong Liu
- Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, No. 23, Pingjiang Road, Hexi District, Tianjin, 300211, People's Republic of China.
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Zhang T, Liu L, Chen Q, Wang Y, Gao X, Ma X, Yan P. Comparative Assessment of In Vitro Xanthine Oxidase and α-Glucosidase Inhibitory Activities of Cultured Cambial Meristematic Cells, Adventitious Roots, and Field-Cultivated Ginseng. Nutrients 2024; 16:443. [PMID: 38337727 PMCID: PMC10857066 DOI: 10.3390/nu16030443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024] Open
Abstract
Panax ginseng, a traditional Chinese medicine with a history spanning thousands of years, faces overexploitation and challenges related to extended growth periods. Tissue-cultured adventitious roots and stem cells are alternatives to wild and field-cultivated ginseng. In this study, we assessed the in vitro xanthine oxidase and α-glucosidase inhibitory activities of saponin extracts among cultured cambial meristematic cells (CMC), adventitious ginseng roots (AGR), and field-cultivated ginseng roots (CGR). The xanthine oxidase (XO) and α-glucosidase inhibitory activities were determined by uric acid estimation and the p-NPG method, respectively. Spectrophotometry and the Folin-Ciocalteu, aluminum nitrate, and Bradford methods were employed to ascertain the total saponins and phenolic, flavonoid, and protein contents. The calculated IC50 values for total saponin extracts against XO and α-glucosidase were 0.665, 0.844, and >1.6 mg/mL and 0.332, 0.745, and 0.042 mg/mL for AGR, CMC, CGR, respectively. Comparing the total saponin, crude protein, and total phenolic contents revealed that AGR > CMC > CGR. To the best of our knowledge, this study presents the first report on the in vitro comparison of xanthine oxidase and α-glucosidase inhibitory activities among AGR, CMC, and CGR. The findings offer valuable insights into the development of hypoglycemic and antihyperuricemic medicinal, nutraceutical, and functional products utilizing AGR and CMC.
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Affiliation(s)
- Tianhe Zhang
- School of Marine Science and Technology, Harbin Institute of Technology, Weihai 264209, China; (T.Z.); (Q.C.)
| | - Lijun Liu
- School of Marine Science and Technology, Harbin Institute of Technology, Weihai 264209, China; (T.Z.); (Q.C.)
| | - Qiqi Chen
- School of Marine Science and Technology, Harbin Institute of Technology, Weihai 264209, China; (T.Z.); (Q.C.)
| | - Yifei Wang
- School of Marine Science and Technology, Harbin Institute of Technology, Weihai 264209, China; (T.Z.); (Q.C.)
| | - Xiujun Gao
- School of Marine Science and Technology, Harbin Institute of Technology, Weihai 264209, China; (T.Z.); (Q.C.)
| | - Xingyi Ma
- School of Science, Harbin Institute of Technology, Shenzhen 518055, China
- Biosen International, Jinan 250117, China
- Briteley Institute of Life Sciences, Yantai 264003, China
- Shandong Key Laboratory of Biochemical Analysis, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China
| | - Peisheng Yan
- School of Marine Science and Technology, Harbin Institute of Technology, Weihai 264209, China; (T.Z.); (Q.C.)
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