Prevalence of hyperuricemia and its influencing factors in comorbidities with hypertension, diabetes, and dyslipidemia among adults in Hebei Province
10.3969/j.issn.1006-2483.2026.04.007
- VernacularTitle:河北省成人高尿酸血症及其合并高血压糖尿病和血脂异常的影响因素
- Author:
Jingjing ZHAO
1
;
Yajing CAO
1
;
Dongsheng JIANG
1
;
Tiantian GUO
1
;
Yuhuan LIU
1
;
Fujuan YUE
1
;
Xiaoli LIU
1
Author Information
1. Department of Chronic Non-communicable Diseases Control and Prevention , Hebei Province Center for Disease Control and Prevention , Shijiazhuang, Hebei 050021, China
- Publication Type:Journal Article
- Keywords:
Hyperuricemia;
Hypertension;
Diabetes;
Dyslipidemia
- From:
Journal of Public Health and Preventive Medicine
2026;37(4):31-35
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the prevalence of hyperuricemia (HUA) among adults in Hebei Province and its influencing factors related to comorbidities with “three highs”, and to provide a theoretical basis for the prevention and control of HUA and multi-disease co-management. Methods Data were derived from the 2018 China Chronic Disease and Risk Factors Surveillance program conducted in Hebei Province. A multi-stage stratified cluster random sampling method was used to select permanent residents aged ≥18 years. All statistical analyses were adjusted for complex weighting. Design-based logistic regression was employed to analyze factors influencing HUA prevalence, and ordinal logistic regression was used to analyze the influencing factors of HUA patients and their comorbidity with “three highs”. Results The prevalence of HUA among adults in Hebei Province was 10.42%, with males showing higher rates than females (P<0.05). The highest prevalence of HUA was observed in the 18-39 age group, followed by a declining trend, and a resurgence in those aged ≥70 (P<0.05). Among HUA patients with comorbidities, isolated HUA, 1 comorbidity, 2 comorbidities, and 3 comorbidities accounted for 13.94%, 33.33%, 39.17%, and 13.56%, respectively. HUA combined with hypertension and dyslipidemia represented the highest proportion (31.07%). Analysis of the influencing factors of HUA revealed that higher education levels, obesity, central obesity, and dyslipidemia increased the risk of HUA (P<0.05). Ordinal logistic regression analysis of HUA combined with three highs showed that HUA patients aged ≥50 years, overweight individuals, and those with chronic kidney disease had a higher number of patients with three highs (P<0.05). Conclusion HUA exhibits insidious onset, and it is recommended to include uric acid testing in routine physical examinations. Targeted prevention measures, such as early uric acid testing and health education, should be implemented by Hebei authorities for populations with higher education levels, obesity, central obesity, and dyslipidemia to reduce HUA incidence. Additionally, health education and regular medical check-ups are recommended for overweight HUA patients and those with chronic kidney disease to prevent comorbidities and alleviate disease burden.