Niu Mixue, Xing Xiuya, Fu Lianguo, Zhang Luan, Chen Yeji, Wang Huadong, Xu Jingqiao, Liu Zhirong. Prevalence of dyslipidemia and influencing factors in residents aged 35–75 years in Anhui[J]. Disease Surveillance, 2023, 38(6): 741-746. DOI: 10.3784/jbjc.202210190458
Citation: Niu Mixue, Xing Xiuya, Fu Lianguo, Zhang Luan, Chen Yeji, Wang Huadong, Xu Jingqiao, Liu Zhirong. Prevalence of dyslipidemia and influencing factors in residents aged 35–75 years in Anhui[J]. Disease Surveillance, 2023, 38(6): 741-746. DOI: 10.3784/jbjc.202210190458

Prevalence of dyslipidemia and influencing factors in residents aged 35–75 years in Anhui

  •   Objective  To investigate the prevalence of dyslipidemia in residents aged 35−75 years and risk factors in Anhui province, and provide evidence for the management of dyslipidemia.
      Methods  The data of the study were from the early screening and comprehensive intervention program in population at high risk for cardiovascular disease in Anhui from 2016 to 2021. A total of 114 873 local residents aged 35−75 years were selected for questionnaire survey, physical examination and laboratory testing, and χ2 test and trend χ2 test were used for comparative analysis, the factors affecting the dyslipidemia prevalence were identified using a multivariable logistic regression model.
      Results  In 114 873 local residents aged 35−75 years, 31 267 dyslipidemia cases were found (27.21%), and the standardized prevalence rate was 27.71%. Multivariate logistic regression analysis showed that high education level junior high school: odds ratio(OR)=1.173, 95% confidence interval (CI): 1.134−1.213; senior high school: OR=1.449, 95%CI: 1.375−1.527; college and above: OR=1.547, 95%CI: 1.440−1.661, marriage (OR=1.102, 95%CI: 1.051−1.156), high annual income of family (10 000−50 000 yuan: OR=1.108, 95%CI: 1.065−1.153, >50 000 yuan: OR=1.346, 95%CI: 1.283−1.412) obesity (OR=1.392, 95%CI: 1.347−1.439), overweight (OR=1.539, 95%CI: 1.468−1.613), central obesity (OR=1.357, 95%CI: 1.312−1.403), and smoking (OR=1.160, 95%CI: 1.119−1.203) were associated with high risk for dyslipidemia. Living in urban area (OR=0.871, 95%CI: 0.845−0.898), low body weight (OR=0.578, 95%CI: 0.509−0.656), alcohol drinking (OR=0.745, 95%CI: 0.715−0.777), living in central Anhui (OR=0.820, 95%CI: 0.791−0.849), and living in southern Anhui (OR=0.852, 95%CI: 0.823−0.883) were associated with low risk for dyslipidemia, the differences were significant (all P<0.05).
      Conclusion  The prevalence rate of dyslipidemia in Anhui was relatively low, but it is still necessary to pay attention to the prevention and control of dyslipidemia. Body weight control and smoking cessation are promoted and surveillance for dyslipidemia and targeted intervention should be conducted in rural residents, people with high education level and high family annual income.
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