Prevalence of dyslipidemia and associated risk factors among adults aged ≥35 years in northern China: a cross-sectional study

Abstract

Background: Cardiovascular disease (CVD) prevalence has increased continuously over the last 30 years in China. Dyslipidemia is an important modifiable risk factor in CVD. We aimed to collect current data on the prevalence of dyslipidemia in northern China and explore potential influencing factors. Methods: In this cross-sectional study, we selected a representative sample of 65,128 participants aged ≥35 years in Inner Mongolia during 2015-2017. All participants completed a questionnaire and were examined for risk factors. Dyslipidemia was defined according to 2016 Chinese guidelines for adults. The associated factors for dyslipidemia were estimated by multivariate logistic regression analysis. Results: The age-standardized prevalence of dyslipidemia was 31.2% overall, with 4.3, 2.4, 14.7, and 17.4% for high total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and low high-density lipoprotein cholesterol (HDL-C), respectively. The dyslipidemia prevalence was significantly higher in men than women (37.9% vs. 27.5%, P < 0.001), but postmenopausal women had a higher prevalence of dyslipidemia components (except low HDL-C). Compared with Han participants, Mongol participants had a lower prevalence of dyslipidemia (29.1% vs. 31.4%, P < 0.001). Male sex, living in urban areas, Han ethnicity, smoking, obesity, central obesity, hypertension, and diabetes were all positively correlated with dyslipidemia; alcohol consumption was linked to lower risk of dyslipidemia. Conclusions: Our study revealed that dyslipidemia is a health problem in northern China. Greater efforts to prevent and manage dyslipidemia, especially in men under age 55 years, postmenopausal women, and people with unhealthy lifestyles or chronic diseases.

Treatment and control of modifiable cardiovascular risk factors among patients with diabetes mellitus and hypertension in Inner Mongolia: A cross‐sectional study

“…In fact, one of the characteristics of dyslipidemia in the Chinese population is that the rate of abnormal TG levels is particularly high whereas the rate of abnormal LDL-C levels is particularly low. 30 Therefore, we found a high control rate for LDL-C in this study. Additionally, we found urban-rural and ethnic differences in the treatment and/or control of FPG among groups according to residence and ethnicity.…”

“…In the calculation process, the control of dyslipidemia was obtained only based on LDL‐C. In fact, one of the characteristics of dyslipidemia in the Chinese population is that the rate of abnormal TG levels is particularly high whereas the rate of abnormal LDL‐C levels is particularly low 30 . Therefore, we found a high control rate for LDL‐C in this study.…”

The Association of Healthy Behaviors and Metabolic Factors With Dyslipidemia Among Miao Adults:&nbsp;The&nbsp;China&nbsp;Multi-Ethnic&nbsp;Cohort&nbsp;(CMEC)&nbsp;Study

“…Compared with the studies of Guangxi, Jiangsu, Beijing and other locations [17][18][19][20] , dyslipidemia and its abnormal lipid components among Miao adults were relatively low, the reasons for which may be due to differences in genetic background, socioeconomic level and lifestyle of the subjects. Guizhou belongs to a mountainous karst landform plateau, and the ethnic minority residents live in a special environment.…”

Health behaviors and metabolic risk factors are associated with dyslipidemia in ethnic Miao Chinese adults: the China multi-ethnic cohort study

“…This is the first study to systematically evaluated the prevalence of dyslipidemia among the ethnic Miao adult population of southwest China. Our analysis describes a dyslipidemia prevalence of 32.8%, which is lower than the national average of 40.4% [17], was also slightly lower than that reported in Guangxi, Jiangsu, Beijing [21][22][23]. Although formal comparisons have not been made, differences between populations may be related to genetic predisposition, and socioeconomic conditions of the participants [8,24].…”