Association between prevalence of hypertension and components of metabolic syndrome: the data from Kailuan community

Abstract

This study aimed to investigate the potential association between prevalence of hypertension and components of metabolic syndrome (MetS) in general population of North China. A cross-section survey was conducted from September to December 2013 in Kailuan community of a Northern China city, Tangshan. Anthropometric measurements, blood tests and questionnaire surveys were administered to a total of 4675 subjects enrolled in this study. In this study, hypertension was defined as blood pressure>140/90 mmHg or medication for previously diagnosed hypertension. The definition of MetS adapted the IDF/AHA/NHLBI criteria. The prevalence of hypertension among population with or without individual or clustered components of MetS was compared and the respective contribution of every component of MetS to prevalence of hypertension was analyzed using multivariate logistic analysis. The overall prevalence of hypertension was 31.6% in enrolled subjects. People with components of MetS such as central obesity, elevated TG, high blood pressure, and abnormal glucose metabolism had a higher prevalence of hypertension compared with those without. The prevalence of hypertension in people with 0, 1, 2, 3, 4, and 5 components of MetS was 18.4%, 27.8%, 32.6%, 35.6%, 43.9%, and 54.7% (p < 0.05), respectively. After adjusting for age, gender, BMI, smoking and alcohol drinking, the prevalence of hypertension was significantly correlated with the following component of MetS including central obesity (OR 1.23 (1.04–1.46), p < 0.05), elevated TG (OR 1.21 (1.03–1.43), p < 0.05), high blood pressure (OR 3.34 (2.86–3.90), p < 0.05), and abnormal glucose metabolism (OR 1.23 (1.04–1.45), p < 0.05). Components of MetS could significantly contribute to the development of hypertension. Overall lifestyle improvement and control of metabolic associated risk factors should be the cornerstone of hypertension control in China.

• Chinese
• hypertension
• metabolic syndrome
• prevalence
• risk factors

Acknowledgements

We have to express special gratitude to Professor Qin Tang from China Medical Association for her kind help in the conduction of this study.

Declaration of interest

The authors report that they have no conflicting interests. This study was supported by National Key Clinical Specialties Construction Program of China and the 12th Five-Year Science and Technology Support Program of the Ministry of Science and Technology of China (2013BAI06B02).