Background: Several previous studies have reported that dyslipidemia is associated
with the risk of hypertension, but these studies are mainly conducted in European and
US populations, with a very few studies in the Asian population. Moreover, the effects
of atherosclerotic indices, including atherogenic coefficient (AC) and atherogenic risk of
plasma (AIP), on hypertension in Asians have not been well described so far.
Methods: From 2010 to 2016, altogether 211,833 Chinese adults were ultimately
recruited at the health centers in 11 Chinese cities (including Shanghai, Beijing,
Nanjing, Suzhou, Shenzhen, Changzhou, Chengdu, Guangzhou, Hefei, Wuhan, and
Nantong). Differences in continuous variables between the two groups were analyzed
by the Mann–Whitney test, while those in categorical variables were examined by the
Chi-squared test. Logistic regression was applied to evaluate the association between
lipid profiles and the risk of hypertension. The predictive values of AC and AIP for the
incidence of hypertension were analyzed using the area under the receiver operating
characteristic (ROC) curve. Meanwhile, Bayesian network (BN) models were performed
to further analyze the associations between the different covariates and the incidence
of hypertension.
Results: A total of 117,056 participants were included in the final analysis. There
were significant differences in baseline characteristics between normotension and
hypertension groups (p < 0.001). In multivariate logistic regression, the risk of
hypertension increased by 0.2% (1.002 [1.001–1.003]), 0.2% (1.002 [1.001–1.003]), and
0.2% (1.002 [1.001–1.003]) per 1 mg/dl increase in total cholesterol (TC), low-density
lipoprotein (LDL), and non-high-density lipoprotein cholesterol (non-HDL-c), respectively.
However, after adjusting for body mass index (BMI), an increase in HDL level was
associated with a higher risk of hypertension (p for a trend < 0.001), and the risk of
hypertension increased by 0.6% per 1 mg/dl increase in HDL-c (1.006 [1.003–1.008]).
In women, AC had the highest predictive value for the incidence of hypertension with
an area under the curve (AUC) of 0.667 [95% confidence interval (CI): 0.659–0.674].
BN models suggested that TC and LDL were more closely related to the incidence
of hypertension.
Conclusions: Overall, lipid profiles were significantly abnormal in the hypertensive
population than in the normotensive population. TC and LDL were strongly associated
with the incidence of hypertension. TC, LDL, and non-HDL-c levels show a positive
association, HDL-c shows a negative association, while TG is not significantly associated
with the risk of hypertension. After adjusting for BMI, HDL-c turns out to be positively
associated with the risk of hypertension. In addition, AC has a good predictive value for
the incidence of hypertension in women.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:86356 |
| Date | 03 July 2023 |
| Creators | Cheng, Wenke, Wang, Lili, Chen, Siwei |
| Publisher | Frontiers Media |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 2297-055X, 887067 |
Page generated in 0.002 seconds