scholarly journals The association of lipid ratios with hyperuricemia in a rural Chinese hypertensive population

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yu Yu ◽  
Tian Lan ◽  
Dandan Wang ◽  
Wangsheng Fang ◽  
Yu Tao ◽  
...  
Keyword(s):  
Low Density Lipoprotein ◽  
Multiple Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Smooth Curve ◽  
Lipoprotein Cholesterol ◽  
Continuous Variables ◽  
Lipid Ratios ◽  
Hypertensive Population ◽  
High Lipid ◽  
The Relationship

Abstract Background Current studies support lipid ratios [the total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C) ratio; the triglyceride (TG)/HDL-C ratio; the low-density lipoprotein cholesterol (LDL -C)/HDL-C ratio; and non-HDL-C] as reliable indicators of cardiovascular disease, stroke, and diabetes. However, whether lipid ratios could serve as markers for hyperuricemia (HUA) remains unclear due to limited research. This study aimed to explore the association between lipid ratios and HUA in hypertensive patients. Methods The data from 14,227 Chinese hypertensive individuals in the study were analyzed. Multiple logistic regression analysis and smooth curve fitting models examined the relationship between lipid ratios and HUA. Results The results showed positive associations between the lipid ratios and HUA (all P < 0.001). Furthermore, lipid ratios were converted from continuous variables to tertiles. Compared to the lowest tertile, the fully adjusted ORs (95 % CI) of the TC/HDL-C ratio, the TG/HDL-C ratio, the LDL-C/HDL-C ratio, and non-HDL-C in the highest tertile were 1.79 (1.62, 1.99), 2.09 (1.88, 2.32), 1.67 (1.51, 1.86), and 1.93 (1.74, 2.13), respectively (all P < 0.001). Conclusions The study suggested that high lipid ratios (TC/HDL-C ratio, TG/HDL-C ratio, LDL-C/HDL-C ratio, and non-HDL-C) are associated with HUA in a Chinese hypertensive population. This study’s findings further expand the scope of the application of lipid ratios. These novel and essential results suggest that lipid ratio profiles might be potential and valuable markers for HUA. Trial registration No. ChiCTR1800017274. Registered July 20, 2018.

scholarly journals Contribution of Nontraditional Lipid Profiles to Hyperuricemia in Rural Chinese Hypertensive Population: Findings From the China Hypertension Registry Study

2020 ◽  
Author(s):  
Yu Yu ◽  
Tian Lan ◽  
Dandan Wang ◽  
Wangsheng Fang ◽  
Yu Tao ◽  
...  
Keyword(s):  
Low Density Lipoprotein ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Smooth Curve ◽  
Lipid Profiles ◽  
Lipoprotein Cholesterol ◽  
Lipid Lowering ◽  
Continuous Variables ◽  
Hypertensive Population ◽  
The Relationship

Abstract Background: Current studies support nontraditional lipid profiles [total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C) ratio, triglyceride (TG)/HDL-C ratio, low-density lipoprotein cholesterol (LDL -C)/HDL-C ratio, non-HDL-C] as reliable indicators of cardiovascular disease, stroke and diabetes. However, whether nontraditional lipid profiles can be used as reliable markers for hyperuricemia (HUA) remains unclear due to limited research. The present study investigated the relationship of nontraditional lipid profiles with HUA in hypertensive patients.Methods: We analyzed data from 13,721 Chinese hypertensive population untreated with lipid-lowering drugs. The relationship between non-traditional lipid profiles and HUA was examined by multivariate logistic regression analysis and smooth curve fitting (penalized spline method).Results: The results showed that there were positive associations of TC/HDL-C ratio, TG/HDL-C ratio, LDL-C/HDL-C ratio, and non-HDL-C with HUA, respectively (all P <0.001). Furthermore, nontraditional lipid profiles were converted from continuous variables to tertiles. Compared with lowest tertile, the multivariate adjusted ORs (95% CI) of TC/HDL-C ratio, TG/HDL-C ratio, LDL-C/HDL-C ratio and non-HDL-C in highest tertile were 1.79 (1.62, 1.99), 2.09 (1.88, 2.32), 1.67 (1.51, 1.86), 1.93 (1.74, 2.13), respectively (all P <0.001).Conclusions: In Chinese hypertensive population, there were positive associations between nontraditional lipid profiles (TC/HDL-C ratio, TG/HDL-C ratio, LDL-C/HDL-C ratio, and non-HDL-C) and HUA. Our findings further expand the scope of application of nontraditional lipid profiles. These novel and important results suggest that nontraditional lipid profiles can be used as potential and valuable indicators of HUA, and provide a new strategy for the prevention and treatment of HUA.

scholarly journals Association Between Different Lipid Ratios and Diabetes in Chinese Adults With H-type Hypertension

2020 ◽  
Author(s):  
yu tao ◽  
Yu Yu ◽  
Huihui Bao ◽  
Xiaoshu Cheng
Keyword(s):  
Characteristic Curve ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Smooth Curve ◽  
Lipoprotein Cholesterol ◽  
Atherogenic Index ◽  
Chinese Adults ◽  
Lipid Ratios ◽  
Adjusted Model ◽  
The Relationship

Abstract Background: Previous studies have shown that lipid ratios [total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C), atherogenic index of plasma (AIP, lg [triglyceride (TG)/HDL-C]), low-density lipoprotein cholesterol (LDL-C)/HDLC, non-HDL-C/HDL-C] were associated with the risk of diabetes in non-hypertension population. However, the relationship between different lipid ratios and diabetes is unclear in the H-type hypertension population. The purpose of this study is to investigate the relationship between lipid ratios and diabetes in Chinese adults with H- type hypertension.Methods: The current study included 13,581 H-type hypertension participants from the China hypertension registry study. Logistic regression analysis and smooth curve fitting were used to assess the association between different lipid ratios and diabetes.Results: Prevalence of diabetes was 17.8%. All lipid ratios (TC/HDL-C, AIP, LDL-C/HDL-C, and non-HDL-C/HDL-C) were positively and independently associated with diabetes. In the fully adjusted model, AIP manifested the largest ORs of diabetes (OR:2.84, 95%CI:2.37-3.41). However, the fully adjusted ORs (95%CI) of TC/HDL-C, LDL-C/HDL-C and non-HDL-C/HDL-C ratio was only 1.34 (1.27, 1.43), 1.40 (1.29, 1.51), 1.42 (1.35, 1.50), respectively. Comparing the area under receiver-operating characteristic curve (AUC), we found that AIP had the stronger ability to identify diabetes.Conclusions: all lipid ratios (TC/HDL-C, AIP, LDL-C/HDL-C, and non-HDL-C/HDL-C) were independently and positively correlated with the risk of diabetes in the Chinese population with H-type hypertension. Compared with other lipid ratios (TC/HDL-C, LDL-C/HDL-C, and non-HDL-C/HDL-C), AIP was superior in discriminating diabetes.

scholarly journals Association Between Different Lipid Ratios and Diabetes in Chinese Adults With H-type Hypertension

2020 ◽  
Author(s):  
yu tao ◽  
yu jiang ◽  
yu yu ◽  
huihui bao
Keyword(s):  
Characteristic Curve ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Smooth Curve ◽  
Atherogenic Index ◽  
Chinese Adults ◽  
Atherogenic Index Of Plasma ◽  
Lipid Ratios ◽  
Adjusted Model ◽  
The Relationship

Abstract Background: Previous studies have shown that lipid ratios [total cholesterol (TC)/high-densitylipoprotein cholesterol (HDL-C), atherogenic index of plasma (AIP, lg [triglyceride (TG)/HDL-C]), low-density lipoprotein cholesterol (LDL-C)/HDLC, non-HDL-C/HDL-C] were associated with the risk of diabetes in non-hypertension population. However, the relationship between different lipid ratios and diabetes is unclear in the H-type hypertension population. The purpose of this study is to investigate the relationship between lipid ratios and diabetes in Chinese adults with H- type hypertension.Methods: The current study included 13,581 H-type hypertension participants from the China hypertension registry study. Logistic regression analysis and smooth curve fitting were used to assess the association between different lipid ratios and diabetes.Results: Prevalence of diabetes was 17.8%. All lipid ratios (TC/HDL-C, AIP, LDL-C/HDL-C, and non-HDL-C/HDL-C) were positively and independently associated with diabetes. In the fully adjusted model, AIP manifested the largest ORs of diabetes (OR:2.84, 95%CI:2.37-3.41). However, the fully adjusted ORs (95%CI) of TC/HDL-C, LDL-C/HDL-C and non-HDL-C/HDL-C ratio was only 1.34 (1.27, 1.43), 1.40 (1.29, 1.51), 1.42 (1.35, 1.50), respectively. Comparing the area under receiver-operating characteristic curve (AUC), we found that AIP had the stronger ability to identify diabetes.Conclusions: all lipid ratios (TC/HDL-C, AIP, LDL-C/HDL-C, and non-HDL-C/HDL-C) were independently and positively correlated with the risk of diabetes in the Chinese population with H-type hypertension. Compared with other lipid ratios (TC/HDL-C, LDL-C/HDL-C, and non-HDL-C/HDL-C), AIP was superior in discriminating diabetes.

scholarly journals Dietary phytochemical index associated with cardiovascular risk factor in patients with type 1 diabetes mellitus

2021 ◽  
Author(s):  
Saeideh Delshad Aghdam ◽  
Fereydoun Siassi ◽  
Ensieh Nasli Esfahani ◽  
Mostafa Qorbani ◽  
Asadollah Rajab ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Lipoprotein Cholesterol ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Cross Sectional ◽  
The Relationship

Abstract Background Dietary phytochemical index (DPI) is useful and inexpensive method to identify the role of phytochemicals on cardiovascular disease (CVD) risk factors. This study aimed to assess the relationship between DPI and CVD risk factors in patients with type1 diabetes mellitus (T1DM). Methods A total of 261 participants aged 18–35 years with T1DM were enrolled in this cross-sectional study to assess the relationship between DPI and CVD risk factors. Anthropometric measurements, blood lipids, glucose, and antioxidant level were measured. Food intakes were determined using a food frequency questionnaire to calculate DPI. Logistic regression was used. Results The mean age of participants was 25 years. After adjustment for potential confounders, participants in the highest tertile of DPI had 88% lower chance of hyperglycemia (P for trend = 0.020), 81% lower chance of low high-density lipoprotein cholesterol (HDL-C) (P for trend = 0.030) and 98% lower chance of high low-density lipoprotein cholesterol to HDL-C ratio (P for tend = 0.040). There were no relationships between DPI and other CVD risk factors. Conclusions Although higher intake of phytochemical-rich foods had a beneficial effect on some risk factors of CVD, more studies more studies are warranted to corroborate the present findings.

scholarly journals Are Caveolin-1 minor alleles more likely to be risk alleles in IR mechanisms in metabolic diseases?

2021 ◽  
Author(s):  
Faezeh Abaj ◽  
Said Abdul Ghafour Saeedy ◽  
Khadijeh Mirzaei
Keyword(s):  
Metabolic Diseases ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Obese Women ◽  
Caveolin 1 ◽  
Risk Alleles ◽  
Fat Composition ◽  
Fat Level ◽  
The Relationship

Abstract Objectives Associations are present between insulin resistance (IR) and dyslipidemia and cardiometabolic factors. Caveolin-1 (CAV1) is involved in glucose/lipid homeostasis and may modulate IR signaling. We investigated the relationship between CAV1 and IR signaling in modulating dyslipidemia and fat composition in overweight and obese women with a prevalent variant in the CAV1 gene. Results There were no statistical differences in FPG, plasma insulin, and HOMA-IR (p > 0.05) between CAV1 variants. Individuals with AA and AG alleles were slightly older and had higher BMI, FMI, and VLF values; and tended to have lower total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) (p < 0.05). HOMA-IR levels predicted fat mass index (FMI) 0.47 (0.08,0.87), visceral fat level (VFL) 0.65 (0.23,1.07), TC 6.82 (1.76,11.88) and HDL-C -1.663 (-3.11, -0.214) only between minor allele carriers in unadjusted and adjusted models. (, CI (P < 0.01). Our r

scholarly journals The Relationship Between Tri-ponderal Mass Index and Metabolic Syndrome and Its Components in Youth Aged 10–20 Years

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Young Suk Shim
Keyword(s):  
Metabolic Syndrome ◽  
Low Density Lipoprotein ◽  
Standard Deviation Score ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Analysis Of Covariance ◽  
Lipoprotein Cholesterol ◽  
Elevated Glucose ◽  
Overweight Group ◽  
The Relationship

Abstract The current study aimed to evaluate the distribution of the tri-ponderal mass index (TMI) according to sex and age and the relationship of obesity groups according to sex- and age-specific TMI with metabolic syndrome (MetS) and its components. A total of 8,464 subjects aged 10–20 years were classified into 4 groups according to sex- and age-specific TMI: (i) underweight, (ii) normal weight, (iii) overweight, and (iv) obese. The range of the 50th percentiles of TMI was from 13.24 kg/m3 at 10 years to 12.94 kg/m3 at 20 years among males and from 12.19 kg/m3 to 12.84 kg/m3 among females. In the analysis of covariance, obesity groups according to sex- and age-specific TMI were positively correlated with waist circumference (WC) standard deviation score; systolic blood pressure (BP); diastolic BP; and levels of glucose, total cholesterol, triglycerides (TGs), and low-density lipoprotein cholesterol, but for both sexes, the obesity groups were negatively related to high-density lipoprotein cholesterol (HDL-C). In the multiple logistic regression, subjects in the overweight group had higher odds ratios (ORs) for elevated WC (29.18), elevated BP (1.33), elevated TGs (2.55), reduced HDL-C (2.31), and MetS (8.93) than those with normal weight. Participants in the obesity group had increased ORs for elevated WC (154.67), elevated BP (2.22), elevated glucose (3.54), elevated TGs (4.12), reduced HDL-C (3.69), and MetS (25.57) compared to participants with normal weight after adjustment for confounders. Our results suggest that sex- and age-specific TMI may be applicable in the clinical setting as a useful screening tool.

Relationship between copper and lipids and atherogenic indices soon after birth in Japanese preterm infants of 32–35 weeks

2016 ◽  
Vol 8 (2) ◽  
pp. 256-260 ◽  
Author(s):  
H. Shoji ◽  
N. Ikeda ◽  
C. Kojima ◽  
T. Kitamura ◽  
H. Suganuma ◽  
...  
Keyword(s):  
Preterm Infants ◽  
Intrauterine Growth Restriction ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
Apolipoprotein A1 ◽  
Lipoprotein Cholesterol ◽  
Stepwise Multiple Regression ◽  
Atherogenic Indices ◽  
The Relationship

Several studies have reported association of altered levels of lipids and some trace elements with risk factors for cardiovascular disease development in adulthood. Accordingly, the present study aimed to determine the relationship among the serum levels of copper (Cu), zinc (Zn), lipids, lipoproteins and apolipoproteins in preterm infants through an assessment of atherogenic indices shortly after birth. Blood samples were collected within 20 min of birth from 45 preterm infants with gestational ages ranging from 32 to 35 weeks. Serum Cu, Zn, total cholesterol (TC), low-density lipoprotein cholesterol (LDLc), high-density lipoprotein cholesterol (HDLc), apolipoprotein-A1 (apoA1) and apolipoprotein-B (apoB) levels were measured, and the TC/HDLc, LDLc/HDLc and apoB/apoA1 ratios were calculated. Upon determining the correlation between the levels of Cu, Zn and these indices of lipid metabolism, triglyceride (TG) and Cu were found to correlate negatively with birth weight (BW) and the standard deviation (s.d.) score for body weight. Furthermore, Cu levels correlated positively with the TG level and TC/HDLc, LDLc/HDLc and apoB/apoA1 ratios and negatively with the HDLc level and HDLc/apoA1 ratios. However, a stepwise multiple regression analysis indicated that the s.d. score for BW and TG level were significant independent determinants of the Cu level. In contrast, Zn did not correlate with any of these indices. In conclusion, intrauterine growth restriction and the TG level at birth influence Cu levels in preterm infants, whereas atherogenic indices do not affect this parameter.

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