1.Clinical value of arterial stiffness assessment on risk prediction of vascular stiffness in the octogenarian elderly.
Yu Jia WANG ; Zheng Hui GU ; Xue Ping WU ; Zhi Yi FANG ; Tian Hu WANG ; Shan GAO ; Xue YANG ; Xiao Ying SHEN ; Ting Yu ZHOU ; Qi ZHANG ; Jun Xia LI ; Feng CAO
Chinese Journal of Cardiology 2023;51(10):1069-1074
		                        		
		                        			
		                        			Objective: This study aimed to analyze clinical factors related to arterial stiffening and establish a risk prediction nomogram of arterial stiffening in the octogenarian(≥80 years). Methods: This study was a retrospective cross-sectional study, which enrolled the octogenarian elderly who underwent physical examination and secondary prevention intervention in the outpatient department of Chinese People's Liberation Army General Hospital from April 2022 to August 2022. Clinical data including demographics, biochemical indicators and medical history were collected. Brachial-ankle pulse wave velocity (baPWV) was detected during the clinical visit. Participants were divided into the control group (baPWV≤1 800 cm/s) and vascular sclerosis group (baPWV>1 800 cm/s). The risk factors of arterial stiffness were analyzed by univariate and logistic regression analysis, and the nomogram model was constructed by R programming language. The predictive effect of the nomogram model was evaluated by the receiver operating characteristic curve (ROC). Results: The median age of the 525 participants was 87.0 (82.0, 92.0) years, 504 (96.0%) were male, 82 in the control group, 443 in the vascular sclerosis group. The baPWV, age, systolic blood pressure, mean arterial pressure and diastolic blood pressure were significantly lower in the control group than those in the vascular sclerosis group (all P<0.05). Logistic regression analysis showed that high-density lipoprotein cholesterol, alanine aminotransferase and amylase were protective factors, and alkaline phosphatase and creatinine were risk factors of arterial stiffening (all P<0.05). The combined nomogram model scores including age, mean arterial pressure and the above five laboratory indicators indicated that mean arterial pressure and serum creatinine levels were strongly correlated with vascular sclerosis. The ROC curve suggested that the nomogram model had good prediction ability. Conclusions: Age, mean arterial pressure, high-density lipoprotein cholesterol, alanine aminotransferase, alkaline phosphatase, amylase and creatinine are independently determinants for increased vascular stiffness. The combined prediction model in this study can provide reference for individualized clinical risk prediction of vascular sclerosis in the octogenarian elderly.
		                        		
		                        		
		                        		
		                        			Aged, 80 and over
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Ankle Brachial Index
		                        			;
		                        		
		                        			Vascular Stiffness/physiology*
		                        			;
		                        		
		                        			Octogenarians
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			Alanine Transaminase
		                        			;
		                        		
		                        			Alkaline Phosphatase
		                        			;
		                        		
		                        			Creatinine
		                        			;
		                        		
		                        			Sclerosis
		                        			;
		                        		
		                        			Pulse Wave Analysis
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Amylases
		                        			;
		                        		
		                        			Lipoproteins, HDL
		                        			;
		                        		
		                        			Cholesterol
		                        			
		                        		
		                        	
2.Clinical value of arterial stiffness assessment on risk prediction of vascular stiffness in the octogenarian elderly.
Yu Jia WANG ; Zheng Hui GU ; Xue Ping WU ; Zhi Yi FANG ; Tian Hu WANG ; Shan GAO ; Xue YANG ; Xiao Ying SHEN ; Ting Yu ZHOU ; Qi ZHANG ; Jun Xia LI ; Feng CAO
Chinese Journal of Cardiology 2023;51(10):1069-1074
		                        		
		                        			
		                        			Objective: This study aimed to analyze clinical factors related to arterial stiffening and establish a risk prediction nomogram of arterial stiffening in the octogenarian(≥80 years). Methods: This study was a retrospective cross-sectional study, which enrolled the octogenarian elderly who underwent physical examination and secondary prevention intervention in the outpatient department of Chinese People's Liberation Army General Hospital from April 2022 to August 2022. Clinical data including demographics, biochemical indicators and medical history were collected. Brachial-ankle pulse wave velocity (baPWV) was detected during the clinical visit. Participants were divided into the control group (baPWV≤1 800 cm/s) and vascular sclerosis group (baPWV>1 800 cm/s). The risk factors of arterial stiffness were analyzed by univariate and logistic regression analysis, and the nomogram model was constructed by R programming language. The predictive effect of the nomogram model was evaluated by the receiver operating characteristic curve (ROC). Results: The median age of the 525 participants was 87.0 (82.0, 92.0) years, 504 (96.0%) were male, 82 in the control group, 443 in the vascular sclerosis group. The baPWV, age, systolic blood pressure, mean arterial pressure and diastolic blood pressure were significantly lower in the control group than those in the vascular sclerosis group (all P<0.05). Logistic regression analysis showed that high-density lipoprotein cholesterol, alanine aminotransferase and amylase were protective factors, and alkaline phosphatase and creatinine were risk factors of arterial stiffening (all P<0.05). The combined nomogram model scores including age, mean arterial pressure and the above five laboratory indicators indicated that mean arterial pressure and serum creatinine levels were strongly correlated with vascular sclerosis. The ROC curve suggested that the nomogram model had good prediction ability. Conclusions: Age, mean arterial pressure, high-density lipoprotein cholesterol, alanine aminotransferase, alkaline phosphatase, amylase and creatinine are independently determinants for increased vascular stiffness. The combined prediction model in this study can provide reference for individualized clinical risk prediction of vascular sclerosis in the octogenarian elderly.
		                        		
		                        		
		                        		
		                        			Aged, 80 and over
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Ankle Brachial Index
		                        			;
		                        		
		                        			Vascular Stiffness/physiology*
		                        			;
		                        		
		                        			Octogenarians
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			Alanine Transaminase
		                        			;
		                        		
		                        			Alkaline Phosphatase
		                        			;
		                        		
		                        			Creatinine
		                        			;
		                        		
		                        			Sclerosis
		                        			;
		                        		
		                        			Pulse Wave Analysis
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Amylases
		                        			;
		                        		
		                        			Lipoproteins, HDL
		                        			;
		                        		
		                        			Cholesterol
		                        			
		                        		
		                        	
3.Components and lipid-lowering effect of total saponins from underground part of Gynostemma pentaphyllum.
Fei TENG ; Xiang-Wei LI ; Min LI ; Dong-Dong FAN ; Jing-Jing ZHU ; Hui-Min GAO ; Zhi-Min WANG
China Journal of Chinese Materia Medica 2022;47(18):5022-5031
		                        		
		                        			
		                        			The saponins in different parts of Gynostemma pentaphyllum were analyzed via UPLC-Q-TOF-MS~E. A total of 46 saponins were identified, and the underground part had 26 saponins more than the aboveground part, most of which were trisaccharide saponins. The rat model of hyperlipidemia was established with high-fat diet. This study explored the lipid-lowering activity of total saponins in the underground part of G. pentaphyllum, so as to provide a theoretical basis for the comprehensive utilization of the underground part of G. pentaphyllum. A total of 99 healthy SD rats were randomly assigned into a blank group, a model group, a positive drug group, an aboveground total saponins group, and low-, medium-, and high-dose underground total saponins groups. Except the blank group, the other groups were fed with high-fat diet for 6 weeks. Then, the blood was collected from the orbital cavity to determine whether the modeling was successful according to the serum levels of total cholesterol(TC) and triglyceride(TG). After intragastric administration of the corresponding agents for 30 continuous days, the physical state of the rats were observed, and the body weight and liver specific gravity were measured. Furthermore, the levels of TC, TG, low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), alanine transaminase(ALT), aspartate transaminase(AST), bilirubin, and total bile acids in serum, as well as the levels of superoxide dismutase(SOD), malondialdehyde(MDA), peroxidase proliferator-activated receptor(PPAR-γ) in the liver tissue, were determined. The pathological changes of liver was observed via HE staining. The results showed that the aboveground total saponins and medium-and high-dose underground total saponins can treat hepatocyte steatosis, lower TC, TG, LDL-C, ALT, AST, total bilirubin, MDA, and PPAR-γ levels, and increase HDL-C and SOD levels in the model rats. The effect tended to be more obvious with the increase in dosage. Therefore, the total saponins in the underground part of G. pentaphyllum have good pharmacological effect of reducing blood lipid, which provides a theoretical basis for the comprehensive utilization of the underground part of G. pentaphyllum.
		                        		
		                        		
		                        		
		                        			Alanine Transaminase/analysis*
		                        			;
		                        		
		                        			Animals
		                        			;
		                        		
		                        			Aspartate Aminotransferases/analysis*
		                        			;
		                        		
		                        			Bile Acids and Salts/blood*
		                        			;
		                        		
		                        			Bilirubin/blood*
		                        			;
		                        		
		                        			Cholesterol, LDL/blood*
		                        			;
		                        		
		                        			Diet, High-Fat/adverse effects*
		                        			;
		                        		
		                        			Gynostemma/chemistry*
		                        			;
		                        		
		                        			Hypolipidemic Agents/therapeutic use*
		                        			;
		                        		
		                        			Lipoproteins, HDL/blood*
		                        			;
		                        		
		                        			Liver/metabolism*
		                        			;
		                        		
		                        			Malondialdehyde/analysis*
		                        			;
		                        		
		                        			Peroxisome Proliferator-Activated Receptors/analysis*
		                        			;
		                        		
		                        			Rats
		                        			;
		                        		
		                        			Rats, Sprague-Dawley
		                        			;
		                        		
		                        			Saponins/therapeutic use*
		                        			;
		                        		
		                        			Superoxide Dismutase
		                        			;
		                        		
		                        			Triglycerides/blood*
		                        			;
		                        		
		                        			Trisaccharides/therapeutic use*
		                        			
		                        		
		                        	
4.Higher High Density Lipoprotein 2 (HDL2) to Total HDL Cholesterol Ratio Is Associated with a Lower Risk for Incident Hypertension
You Cheol HWANG ; Wilfred Y FUJIMOTO ; Steven E KAHN ; Donna L LEONETTI ; Edward J BOYKO
Diabetes & Metabolism Journal 2019;43(1):114-122
		                        		
		                        			
		                        			BACKGROUND: Recent studies have suggested that high density lipoprotein (HDL) cholesterol is inversely associated with the development of hypertension. We aimed to determine the association between different HDL cholesterol subclasses and risk of future hypertension. METHODS: A total of 270 Japanese Americans (130 men, 140 women) without hypertension between the ages of 34 to 75 years were enrolled. Blood pressure was measured with a mercury sphygmomanometer, and average blood pressure was calculated. Incident hypertension was determined 5 to 6 and 10 to 11 years after enrollment. HDL2, HDL3, and total HDL cholesterol were measured at baseline. RESULTS: During 10 years of follow-up, the cumulative incidence of hypertension was 28.1% (76/270). In univariate analysis, age, diabetes, waist circumference, systolic and diastolic blood pressure, fasting glucose, insulin resistance index, total and low density lipoprotein cholesterol, and visceral adipose tissue were significant predictors for incident hypertension. Among the HDL cholesterol subclass, HDL2 cholesterol was inversely associated with hypertension incidence, but both total and HDL3 cholesterol were not. In addition, HDL2/HDL cholesterol was inversely associated with future hypertension risk. In multivariate analysis, age (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.26 to 2.31; P=0.001), systolic blood pressure (OR, 1.83; 95% CI, 1.31 to 2.56; P < 0.001), and HDL2/HDL cholesterol (OR, 0.71; 95% CI, 0.52 to 0.98; P=0.035), were associated with future development of hypertension. CONCLUSION: A higher proportion of HDL2 cholesterol among total HDL cholesterol predicted a lower risk for incident hypertension. However, concentrations of total HDL, HDL2, and HDL3 cholesterol were not independent predictors of incident hypertension.
		                        		
		                        		
		                        		
		                        			Asian Americans
		                        			;
		                        		
		                        			Blood Pressure
		                        			;
		                        		
		                        			Cholesterol
		                        			;
		                        		
		                        			Cholesterol, HDL
		                        			;
		                        		
		                        			Cholesterol, LDL
		                        			;
		                        		
		                        			Fasting
		                        			;
		                        		
		                        			Follow-Up Studies
		                        			;
		                        		
		                        			Glucose
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Hypertension
		                        			;
		                        		
		                        			Incidence
		                        			;
		                        		
		                        			Insulin Resistance
		                        			;
		                        		
		                        			Intra-Abdominal Fat
		                        			;
		                        		
		                        			Lipoproteins
		                        			;
		                        		
		                        			Lipoproteins, HDL2
		                        			;
		                        		
		                        			Lipoproteins, HDL3
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Multivariate Analysis
		                        			;
		                        		
		                        			Sphygmomanometers
		                        			;
		                        		
		                        			Waist Circumference
		                        			
		                        		
		                        	
5.Correlation of serum androgen levels with lipid metabolism in middle-aged and elderly men in Zunyi, Guizhou.
Xu-Bo SHEN ; Shi-Min XIONG ; Fang-Wei LIU ; Yong-Jun SHI ; Qin YU ; Quan LI ; Lian-Bo SHEN ; Yuan-Zhong ZHOU
National Journal of Andrology 2018;24(4):311-316
ObjectiveTo investigate the relationship of the levels of serum androgens with lipid metabolism in middle-aged and elderly men in Zunyi, Guizhou.
METHODSUsing the stratified cluster sampling method, we conducted a questionnaire investigation and physical examinations among 437 men in Zunyi City. We divided the subjects into a middle-aged (40-64 [53.20 ± 7.41] years, n = 269) and an elderly group (=≥65 [70.63 ± 4.66] years, n = 168) and collected fasting elbow venous blood samples from them for measuring the levels of total testosterone (TT), sex hormone-binding globulin (SHBG), luteinizing hormone (LH), total cholesterol (TCH), triglyceride (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), calculated free testosterone (cFT), free testosterone index (FTI), and testosterone secretion index (TSI).
RESULTSCompared with the elderly group, the middle-aged males showed significantly lower SHBG, LH, HDL and LDL, and higher cFT, FTI, TSI, TG and TCH (all P < 0.05). TT and SHBG were negatively correlated with TG, TCH, HDL and LDL, while cFT was positively correlated with TCH, and so was FTI with TG, TCH with LDL, and TSI with TCH, HDL and LDL (all P < 0.05), but LH was negatively correlated with TG, TCH and LDL (all P < 0.05). Multivariate linear regression analysis showed that TT and SHBG were negatively correlated with TG, TCH, HDL and LDL, and so was LH with TCH, HDL and LDL (all P < 0.05).
CONCLUSIONSIn the middle-aged and elderly men in Zunyi, low concentrations of TT, SHBG and LH were associated with the increased risk of high-TCH and -LDL dyslipidemia, low concentrations of TT and SHBG with that of high-TG dyslipidemia, while high concentrations of TT, SHBG and LH with that of low-HDL dyslipidemia.
Adult ; Aged ; Androgens ; blood ; China ; Cholesterol ; blood ; Dyslipidemias ; etiology ; Humans ; Lipid Metabolism ; Lipoproteins, HDL ; blood ; Lipoproteins, LDL ; blood ; Luteinizing Hormone ; Male ; Middle Aged ; Multivariate Analysis ; Sex Hormone-Binding Globulin ; Testosterone ; blood ; Triglycerides ; blood
6.Association between Metabotropic Glutamate Receptor 1 Polymorphism and Cardiovascular Disease in Korean Adults.
Yoonjin SHIN ; Jaehyun PARK ; Sungho WON ; Yangha KIM
Journal of Lipid and Atherosclerosis 2017;6(1):29-38
		                        		
		                        			
		                        			OBJECTIVE: The mGluR1 (metabotropic glutamate receptor 1) gene, a G protein–coupled receptor, is known to mediate perceptions of umami tastes. Genetic variation in taste receptors may influence dietary intake, and in turn have an impact on nutritional status and risk of chronic disease. We investigated the association of mGluR1 rs2814863 polymorphism with lipid profiles and cardiovascular disease (CVD) risk, together with their modulation by macronutrient intake in Korean adults. METHODS: The subjects consisted of 8,380 Koreans aged 40-69 years participating in the Anseong and Ansan Cohort Study, which was a part of the Korean Genome Epidemiology Study (KoGES). Data was collected using self-administered questionnaires, anthropometric measurements, and blood chemical analysis. RESULTS: Carriers of C allele at mGluR1 rs2814863 was associated with decreased high density lipoprotein cholesterol (HDL-C) and increased triglyceride as compared to carriers of TT. Also, carriers of the C allele showed higher fat intake and lower carbohydrate intake than those with carriers of TT. After adjustment for multiple testing using false-discovery rate method, the significant difference of HDL-C, triglyceride, dietary fat, and carbohydrate across genotypes disappeared. Gene-diet interaction effects between rs2814863 and macronutrients intake were not significantly associated with HDL-C and triglyceride levels. However, carriers of C allele demonstrated significantly higher odds of CVD {odds ratio=1.13, 95% CI=1.02-1.25} compared with carriers of TT. CONCLUSIONS: Our findings support significant associations between the mGluR1 rs2814863 genotype and CVD-related variables in Korean adults. However, these associations are not modified by macronutrient intake.
		                        		
		                        		
		                        		
		                        			Adult*
		                        			;
		                        		
		                        			Alleles
		                        			;
		                        		
		                        			Blood Chemical Analysis
		                        			;
		                        		
		                        			Cardiovascular Diseases*
		                        			;
		                        		
		                        			Cholesterol, HDL
		                        			;
		                        		
		                        			Chronic Disease
		                        			;
		                        		
		                        			Cohort Studies
		                        			;
		                        		
		                        			Dietary Fats
		                        			;
		                        		
		                        			Epidemiology
		                        			;
		                        		
		                        			Genes, vif
		                        			;
		                        		
		                        			Genetic Variation
		                        			;
		                        		
		                        			Genome
		                        			;
		                        		
		                        			Genotype
		                        			;
		                        		
		                        			Gyeonggi-do
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Methods
		                        			;
		                        		
		                        			Nutritional Status
		                        			;
		                        		
		                        			Polymorphism, Single Nucleotide
		                        			;
		                        		
		                        			Receptors, Glutamate
		                        			;
		                        		
		                        			Receptors, Metabotropic Glutamate*
		                        			;
		                        		
		                        			Triglycerides
		                        			
		                        		
		                        	
7.Lipid Abnormalities in Type 2 Diabetes Mellitus Patients with Overt Nephropathy.
Sabitha PALAZHY ; Vijay VISWANATHAN
Diabetes & Metabolism Journal 2017;41(2):128-134
		                        		
		                        			
		                        			BACKGROUND: Diabetic nephropathy is a major complication of diabetes and an established risk factor for cardiovascular events. Lipid abnormalities occur in patients with diabetic nephropathy, which further increase their risk for cardiovascular events. We compared the degree of dyslipidemia among type 2 diabetes mellitus (T2DM) subjects with and without nephropathy and analyzed the factors associated with nephropathy among them. METHODS: In this retrospective study, T2DM patients with overt nephropathy were enrolled in the study group (n=89) and without nephropathy were enrolled in the control group (n=92). Both groups were matched for age and duration of diabetes. Data on total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), urea and creatinine were collected from the case sheets. TG/HDL-C ratio, a surrogate marker for small, dense, LDL particles (sdLDL) and estimated glomerular filtration rate (eGFR) were calculated using equations. Multivariate analysis was done to determine the factors associated with eGFR. RESULTS: Dyslipidemia was present among 56.52% of control subjects and 75.28% of nephropathy subjects (P=0.012). The percentage of subjects with atherogenic dyslipidemia (high TG+low HDL-C+sdLDL) was 14.13 among controls and 14.61 among nephropathy subjects. Though serum creatinine was not significantly different, mean eGFR value was significantly lower among nephropathy patients (P=0.002). Upon multivariate analysis, it was found that TC (P=0.007) and HDL-C (P=0.06) were associated with eGFR among our study subjects. CONCLUSION: Our results show that dyslipidemia was highly prevalent among subjects with nephropathy. Regular screening for dyslipidemia may be beneficial in controlling the risk for adverse events among diabetic nephropathy patients.
		                        		
		                        		
		                        		
		                        			Biomarkers
		                        			;
		                        		
		                        			Cholesterol
		                        			;
		                        		
		                        			Cholesterol, HDL
		                        			;
		                        		
		                        			Cholesterol, LDL
		                        			;
		                        		
		                        			Creatinine
		                        			;
		                        		
		                        			Diabetes Mellitus, Type 2*
		                        			;
		                        		
		                        			Diabetic Nephropathies
		                        			;
		                        		
		                        			Dyslipidemias
		                        			;
		                        		
		                        			Glomerular Filtration Rate
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Mass Screening
		                        			;
		                        		
		                        			Multivariate Analysis
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Triglycerides
		                        			;
		                        		
		                        			Urea
		                        			
		                        		
		                        	
8.The Association between Symptoms of Dry Eye Syndrome and Metabolic Outcome in a General Population in Korea.
Journal of Korean Medical Science 2016;31(7):1121-1126
		                        		
		                        			
		                        			Dry eye syndrome (DES) is recognized as a public health concern. One of the pathophysiologies in the development of DES is inflammation, and metabolic syndrome (MetS), which is highly prevalent in the general population, is a well-known chronic and systemic inflammatory condition. Despite the increasing interest regarding a relationship between DES and MetS, information is lacking on the association between DES and MetS and its individual components. We investigated the association between DES symptoms and MetS and its components among adults aged ≥ 19 years using population-based data from the Korea National Health and Nutrition Examination Survey V. A sample group of 15,294 adults (42.67% men and 57.33% women) completed household interviews in which they provided blood (for high-density lipoprotein cholesterol, triglyceride, and glucose) and anthropometric measurements (including waist circumference, weight, and height) to define MetS. We also collected information regarding sociodemographic and behavioral risk factors. The survey results showed that 11.50% of men and 22.35% of women experienced DES and 5.30% of patients had both DES and diagnosis of MetS, including 204 men and 606 women. Thus, no significant difference was observed between DES and the diagnosis of MetS according to sex (P = 0.4008 in men; P = 0.0804 in women); however, a significant association was observed between DES and hypertriglyceridemia in women (OR, 1.13; 95% CI, 1.01-1.29). Therefore, hypertriglyceridemia might be an important factor in the association between DES and MetS. Further longitudinal research is needed to evaluate this relationship.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Blood Glucose/analysis
		                        			;
		                        		
		                        			Body Height
		                        			;
		                        		
		                        			Body Weight
		                        			;
		                        		
		                        			Cholesterol, HDL/blood
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			Dry Eye Syndromes/complications/*diagnosis/epidemiology
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Hypertriglyceridemia/complications/diagnosis
		                        			;
		                        		
		                        			Interviews as Topic
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Metabolic Syndrome X/complications/*diagnosis/epidemiology
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Nutrition Surveys
		                        			;
		                        		
		                        			Prevalence
		                        			;
		                        		
		                        			Republic of Korea/epidemiology
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Sex Factors
		                        			;
		                        		
		                        			Triglycerides/blood
		                        			;
		                        		
		                        			Waist Circumference
		                        			;
		                        		
		                        			Young Adult
		                        			
		                        		
		                        	
9.Diagnostic Utility of Serum Glycated Albumin for Diabetes Mellitus and Its Correlation With Hyperlipidemia.
Sholhui PARK ; Wookeun LEE ; Hae Sun CHUNG ; Ki Sook HONG
Annals of Laboratory Medicine 2016;36(4):306-312
		                        		
		                        			
		                        			BACKGROUND: Glycated albumin (GA) is a better marker of short-term glycemic control than glycated hemoglobin (A1c). Dyslipidemia is the main cause of cardiovascular complications in diabetes mellitus (DM). Studies on the correlation of GA with lipid indices are sparse. We investigated the diagnostic utility of GA for DM and its relationship with serum lipid profiles compared with that of A1c. METHODS: The GA enzymatic method was used to determine the diagnostic utility of GA for DM by using samples from 163 normal subjects (group 1) and 102 patients newly diagnosed with type 2 DM (T2DM; group 2). To analyze the lipid profiles, 263 patients with T2DM receiving treatment (group 3) were recruited. RESULTS: GA correlated with A1c (r=0.934, P<0.0001). Linear regression analysis indicated that GA levels were about 2.48 folds those of A1c. In the ROC analysis for GA to diagnose DM, the areas under the curve (0.988, 95% confidence interval 0.972-1.004) was excellent. HDL levels were significantly lower in groups 2 and 3. In group 1, positive correlations were observed between A1c and triglyceride (TG), total cholesterol (TC), LDL, TG/HDL, TC/HDL, and LDL/HDL levels. A negative correlation was observed between HDL and A1c levels. In group 3, HDL levels (P=0.0124 and P=0.0141, respectively) were significantly higher and LDL levels tended to be lower, not statistically significant, in the well-controlled group categorized using the A1c and GA cut-off values. CONCLUSIONS: GA is a potential diagnostic tool for DM. Compared with A1c, GA seems less relevant to dyslipidemia.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Area Under Curve
		                        			;
		                        		
		                        			Blood Glucose/analysis
		                        			;
		                        		
		                        			Cholesterol, HDL/blood
		                        			;
		                        		
		                        			Cholesterol, LDL/blood
		                        			;
		                        		
		                        			Chromatography, High Pressure Liquid
		                        			;
		                        		
		                        			Diabetes Mellitus, Type 2/complications/*diagnosis/drug therapy
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Hyperlipidemias/complications/*diagnosis
		                        			;
		                        		
		                        			Hypoglycemic Agents/therapeutic use
		                        			;
		                        		
		                        			Linear Models
		                        			;
		                        		
		                        			Lipids/blood
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			ROC Curve
		                        			;
		                        		
		                        			Serum Albumin/*analysis
		                        			
		                        		
		                        	
10.Change in the prevalence of obesity phenotypes and cardiometabolic disorders among children aged 6- 17 in Beijing during 2004- 2013.
Yinkun YAN ; Hong CHENG ; Xiaoyuan ZHAO ; Junting LIU ; Dongqing HOU ; Zhongjian SU ; Guimin HUANG ; Wenqing DING ; Qin LIU ; Jie MI
Chinese Journal of Preventive Medicine 2016;50(1):34-39
OBJECTIVETo examine the prevalence of obesity phenotypes and cardiometablic disorders (CDs) among children aged 6- 17 in Beijing from 2004 to 2013.
METHODSData were obtained from two cross-section surveys, which were conducted in 2004 and 2013. In 2004, by using stratified cluster sampling design, 20 primary or middle schools were selected from 7 districts (Xicheng, Dongcheng, Chaoyang, Haidian, Daxing, Pinggu, and Yanqing) in Beijing, and 20 554 school children aged 6-17 were recruited, with weight, height, waist circumference and blood pressure measured. Fasting plasma glucose (FPG), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), and low density lipoprotein cholesterol (LDL-C) were measured in 962 subjects from one school. In 2013, by using the same sampling design, 7 211 students from two districts (Haidian and Dongcheng) were surveyed with weight, height, waist circumference and blood pressure measured, and fasting plasma glucose and lipid profile (TC, TG, HDL-C, LDL-C) were measured for 1 344 subjects in the same school measured in 2004. Student's-t test was used to analyze the difference in body mass index(BMI), WC, and waist to height ratio (WHtR) among children between 2004 and 2010. Chi-square test was used to analyze the difference of hypertension, impaired fasting glucose(IFG), dyslipidemia, and metabolic disorders clustering between 2004 and 2010, and among different types of obesity; logistic regression model was used to analyze the association between three types of obesity and risks of cardiovascular metabolic disorders.
RESULTSIn boys, BMI ((20.3 ± 4.4) vs (19.4 ± 4.2) kg/m(2), t=11.18, P<0.001), WC ((70.6 ± 12.8) vs (66.7 ± 11.8) cm, t=17.20, P<0.001) and WHtR (0.451 ± 0.064 vs 0.437 ± 0.059, t=11.64, P<0.001) were significantly higher in 2013 than those in 2004. Similarly in girls, BMI ((18.9 ± 3.6) vs (18.7 ± 3.7) kg/m(2), t=12.21, P<0.001), WC ((64.5 ± 9.6) vs (63.0 ± 9.3) cm, t=8.15, P<0.001) and WHtR (0.430 ± 0.047 vs 0.423 ± 0.047, t=14.13, P<0.001) were also significantly higher in 2013 than those in 2004. The prevalence of combined obesity rose from 8.27% (1 697/20 526) in 2004 to 10.74% (774/7 209) in 2013, and central obesity from 3.08% (632/20 526) to 4.44% (320/7 209). The prevalence of hypertension (10.78%(313/1 344) vs 4.29% (42/962), χ(2)=36.76, P<0.001), IFG(49.54%(664/1 344) vs 6.45%(63/962), χ(2)=506.61, P<0.001), high TC(11.53%(155/1 344) vs 5.03%(49/962), χ(2)=28.31, P< 0.001), high TG(7.51%(101/1 344) vs 3.59%(35/962), χ(2)=29.59, P<0.001) were significantly higher in 2013 than those in 2004. Subjects with combined obesity had higher risks of hypertension (OR=5.88, 95% CI: 4.42-7.82), high TG (OR=7.12, 95%CI: 4.35-11.64), low HDL-C (OR=3.04, 95%CI: 1.55-5.95), high LDL-C (OR=2.27, 95% CI: 1.22-4.02), CDs≥2 (OR=3.07, 95% CI: 2.09-4.50), comparing to children without obesity.
CONCLUSIONThe prevalence of types of obesity and obesity-related metabolic disorders, except for low HDL-C and high HDL-C, were significantly higher in 2013 than those 2004 among chlildren aged 6-17 year in Beijing. Children with combined obesity had higher prevalence of metabolic disorders.
Adolescent ; Beijing ; Blood Glucose ; analysis ; Blood Pressure ; Body Mass Index ; Body Weight ; Cardiovascular Diseases ; epidemiology ; Child ; Cholesterol, HDL ; blood ; Cholesterol, LDL ; blood ; Cross-Sectional Studies ; Dyslipidemias ; epidemiology ; Female ; Humans ; Hypertension ; epidemiology ; Lipids ; blood ; Logistic Models ; Male ; Obesity, Abdominal ; epidemiology ; Pediatric Obesity ; epidemiology ; Phenotype ; Prevalence ; Triglycerides ; blood ; Waist Circumference
            
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