Zhongguo quanke yixue (Oct 2023)

Prevalence of Dyslipidemia and Its Influencing Factors among Elderly Community Residents

  • HUANG Qixian, WEN Yanting, HUANG Jun, LI Weibin, XU Yongneng, LIN Xiayi, WANG Haoxiang, WENG Fan, YANG Lianping

DOI
https://doi.org/10.12114/j.issn.1007-9572.2022.0808
Journal volume & issue
Vol. 26, no. 28
pp. 3520 – 3525

Abstract

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Background Dyslipidemia is the most important and causal independent risk factor for atherosclerotic cardiovascular disease (ASCVD) . The prevalence of dyslipidemia in elderly residents in Guangdong Province is high, and it is urgent to analyze the specific prevalence of dyslipidemia and its influencing factors among the elderly, and to carry out targeted preventive and control measures for dyslipidemia. Objective To investigate the epidemiological status of dyslipidemia and its risk factors among elderly residents included in the national basic public health service in Yuexiu District, Guangzhou. Methods A total of 41 469 elderly residents aged 65 years and above with complete important variables were selected as subjects from the information system of community health service center in Yuexiu District, Guangzhou City in 2020, the 2020 health checkup data was used to describe the epidemiological characteristics of the included patients such as basic information, BMI and blood lipid levels. Restricted cubic spline (RCS) fitting Logistic regression model was used to analyze the relationship between age, BMI and the prevalence of dyslipidemia. Results The prevalence of dyslipidemia in 41 469 elderly residents was 53.65% (22 247/41 469) , with a standardized prevalence of 53.89%. The prevalence of hypercholesterolemia (HTC) , hypertriglyceridemia (HTG) , mixed hyperlipidemia and low high-density lipoprotein cholesterol was 21.43%, 16.50%, 14.51% and 3.80%, with the standardized prevalence of 21.57%, 16.53%, 14.61%, 3.78%, respectively. Multivariate Logistic regression analysis showed that gender, age, education level, exercise status, and BMI were all influencing factors for dyslipidemia in elderly residents, among which female, low age group, and high BMI were risk factors for dyslipidemia in elderly residents (P<0.05) . The results of RCS fitting showed a non-linear relationship between age, BMI and the prevalence of dyslipidemia in elderly residents. The overall prevalence of dyslipidemia in elderly residents showed a decreasing trend with the increase of age. The risk of dyslipidemia showed on increasing and then decreasing trend with the increase of BMI, the OR increased significantly at low BMI, while decreased at high BMI. Conclusion The prevalence of dyslipidemia is relative high among elderly residents aged 65 years and above included in the national basic public health services in Yuexiu District, Guangzhou. The prevalence of dyslipidemia in the elderly group tends to decrease with the increase of age, and the risk of dyslipidemia prevalence tends to increase and then decrease with the increase of BMI, suggesting special features in the management of dyslipidemia among the elderly, the analysis of risk factors for dyslipidemia in the elderly should be focused on and early preventive and control measures should be carried out.

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