Associations between the lipid profile and the development of hypertension in young individuals - the preliminary study

The prevalence, disability-adjusted life years, and mortality of hypertensive heart disease and its attributable risk factors: results from the Global Burden Disease study 2019

Introduction

No survey has evaluated hypertensive heart disease (HHD) burden with statistics from the Risk Factors Study, Injuries, and the Global Burden of Diseases (GBD) 2019.

Material and methods

The evaluated annual percentage changes (EAPCs) were obtained to assess the trend in prevalence standardized by age, mortality rates standardized by age, and DALYs standardized by age between 1990 and 2019. We also evaluated the contribution of risk factors to HHD-associated DALYs and mortality.

Results

Between 1990 and 2019, the worldwide prevalence rate standardized by age increased (EAPC = 0.17; 95% confidence interval (CI) 0.15 to 0.18), but the death rate standardized by age (EAPC = -0.74; 95% CI: -0.91 to -0.57) and DALYs standardized by age rate decreased (EAPC = -1.02; 95% CI: -1.18 to -0.86). The prevalence rate of HHD standardized by age increased the most in the high-middle areas of SDI (EAPC = 0.43). The biggest increases in the prevalence rate standardized by age were in Andean Latin America (EAPC = 0.43), Western Sub-Saharan Africa (EAPC = 0.30), and the Middle East and North Africa (EAPC = 0.24). The largest decrease in mortality that could be attributed to rate and DALYs in both sexes between 1990 and 2019 was consistent with a high BMI.

Conclusion

The worldwide prevalence rate standardized by age increased during 1990-2019, especially in Andean Latin America, North Africa, the Middle East, and Western Sub-Saharan Africa. Future HHD prevention tactics should be focused on males, high-risk areas, and control of high BMI.

Association and Risk Factors for Hypertension and Dyslipidemia in Young Adults from Poland

Hypertension and dyslipidemia are major risk factors for cardiovascular disease. Studies on the association between abnormal levels of lipids and hypertension have yielded inconsistent results. The aim of this study was to examine the prevalence of hypertension and dyslipidemia and its risk factors in young Polish adults. Furthermore, the association between plasma lipid levels and the risk of hypertension was determined. A cross-sectional study was conducted among 115 volunteer participants. Blood pressure was measured using an automated oscillometric sphygmomanometer. Blood lipids were analyzed from a fasting blood sample received by finger prick. Body fat percentage was assessed using a bioelectrical impedance analysis device. Socioeconomic and lifestyle factors (age, date of birth, place of residence, screen time, and tobacco use) were self-reported by the participant. The prevalence of hypertension was higher in men than in women (61.5 vs. 21.3%). The prevalence of elevated TC, TG, high LDL, and low HDL was 22.6%, 7.8%, 38.3%, and 13.9%, respectively. Spending more than 2 h daily in front of a computer was identified as a significant predictor of hypertension and elevated TG levels (p < 0.05). A high number of cigarettes smoked daily was a significant risk factor for hypertension (p = 0.047). Hypertension contributed to a higher risk of abnormal values of TC (OR = 5.89), LDL (OR = 5.38), and TG (OR = 9.75). Participants with hypertension were more likely than normotensive subjects to have elevated levels of TC, LDL, and TG. The prevalence of hypertension was significantly higher in young men than in women. BMI was associated with the prevalence of hypertension and elevated TC levels. Spending more than 2 h per day in front of a computer contributed to the prevalence of hypertension and elevated TG levels. Participants with hypertension smoked a higher number of cigarettes daily compared to those with normotension.

Integrating Health Data-Driven Machine Learning Algorithms to Evaluate Risk Factors of Early Stage Hypertension at Different Levels of HDL and LDL Cholesterol

Purpose: Cardiovascular disease (CVD) is a major worldwide health burden. As the risk factors of CVD, hypertension, and hyperlipidemia are most mentioned. Early stage hypertension in the population with dyslipidemia is an important public health hazard. This study was the application of data-driven machine learning (ML), demonstrating complex relationships between risk factors and outcomes and promising predictive performance with vast amounts of medical data, aimed to investigate the association between dyslipidemia and the incidence of early stage hypertension in a large cohort with normal blood pressure at baseline. Methods: This study analyzed annual health screening data for 71,108 people from 2005 to 2017, including data for 27 risk-related indicators, sourced from the MJ Group, a major health screening center in Taiwan. We used five machine learning (ML) methods—stochastic gradient boosting (SGB), multivariate adaptive regression splines (MARS), least absolute shrinkage and selection operator regression (Lasso), ridge regression (Ridge), and gradient boosting with categorical features support (CatBoost)—to develop a multi-stage ML algorithm-based prediction scheme and then evaluate important risk factors at the early stage of hypertension, especially for groups with high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) levels within or out of the reference range. Results: Age, body mass index, waist circumference, waist-to-hip ratio, fasting plasma glucose, and C-reactive protein (CRP) were associated with hypertension. The hemoglobin level was also a positive contributor to blood pressure elevation and it appeared among the top three important risk factors in all LDL-C/HDL-C groups; therefore, these variables may be important in affecting blood pressure in the early stage of hypertension. A residual contribution to blood pressure elevation was found in groups with increased LDL-C. This suggests that LDL-C levels are associated with CPR levels, and that the LDL-C level may be an important factor for predicting the development of hypertension. Conclusion: The five prediction models provided similar classifications of risk factors. The results of this study show that an increase in LDL-C is more important than the start of a drop in HDL-C in health screening of sub-healthy adults. The findings of this study should be of value to health awareness raising about hypertension and further discussion and follow-up research.

Association of Lipid Levels With the Prevalence of Hypertension in Chinese Women: A Cross-Sectional Study Based on 32 Health Check Centers

BACKGROUND

Dyslipidemia is strongly associated with the development of hypertension. In our previous study, it was shown that elevated TC, LDL-c, and non-HDL-c were associated with the prevalence of hypertension in Chinese men, whereas the relationship between HDL-c and hypertension shifted from no association to a positive association after adjusting for the BMI. To further accumulate epidemiological evidence in Asian women, this study aimed to investigate the relationship between lipid profile and prevalence of hypertension in Chinese adult women.

METHODS

This is a cross-sectional study including 54,099 Chinese women aged>20 years at 32 health screening centers in 11 cities from 2010-2016. The original data were obtained from DATADRYAD database (www.datadryad.org). Besides, the overall women were classified into non-hypertensive and hypertensive groups based on baseline blood pressure levels. Differences between the two groups were examined by Man-Whitney test or Chi-square test. Spearman's correlation coefficient was employed to evaluate the correlation between systolic blood pressure (SBP), diastolic blood pressure (DBP) and lipid profiles. Multivariate logistic regression was performed to estimate the relationship between different lipid levels and the prevalence of hypertension. Odds ratios (ORs) and 95% confidence intervals (CIs) indicated the risk of lipid and hypertension. Bayesian model (BN) model was constructed to further assess the relationship between baseline characteristics and the prevalence of hypertension, as well as the importance of each variable for the prevalence of hypertension.

RESULTS

Compared to the non-hypertensive population, the hypertensive population was older, and had the higher body mass index (BMI), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), serum creatinine (Scr), fasting blood glucose (FPG), blood urea nitrogen (BUN), alanine aminotransferase (ALT), aspartate aminotransferase (AST), and non-high-density lipoprotein cholesterol (non-HDL-c), but HDL-c and the presence concerning the family history of diabetes were lower. Multivariate logistic regression analysis revealed that TC, LDL-c, and non-HDL-c showed a positive trend with hypertension risk (p for trend < 0.05) whereas TC and HDL-c were not significantly associated with hypertension prevalence. Moreover, each 1 mg/dl increase in TC, LDL, and non-HDL hypertension prevalence increased by 0.2% [1.002 (1.000-1.003)], 0.2% [1.002 (1.000-1.004)], and 0.2% [1.002(1.001-1.004)], respectively. BN suggested that the importance of age, BMI, FPG, non-HDL-c on the prevalence of hypertension was 52.73%, 24.98%, 11.22%, and 2.34%, respectively.

CONCLUSION

Overall, in Chinese adult women, TC, LDL-c and non-HDL-c levels were higher and HDL-c level was lower in the hypertensive population, whereas TG did not differ significantly from the non-hypertensive population. Meanwhile, TC, LDL-c, and non-HDL-c were positively associated with prevalence of hypertension, and HDL-c was negatively associated with prevalence of hypertension but became nonsignificant after full adjustment for variables. Moreover, BN model suggested that age, BMI, FPG, and non-HDL-c had a greater effect on the development of hypertension.