Congruence of Three Risk Indices for Obesity in a Population of Adults with Mental Retardation

1994 ◽  
Vol 11 (4) ◽  
pp. 396-403 ◽  
Author(s):  
James H. Rimmer ◽  
David Braddock ◽  
Glenn Fujiura
Keyword(s):  
At Risk ◽  
Mental Retardation ◽  
Body Fat ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Weight Percent ◽  
Excess Weight ◽  
Lipoprotein Cholesterol ◽  
Percent Body Fat

A body mass index (BMI) greater than 27 has been cited as a risk factor for heart disease and diabetes mellitus resulting from excess weight. The purpose of this study was to determine the association between BMI (>27) and two other obesity indices–height-weight and percent body fat–as well as to investigate the relationship between BMI and three blood lipid parameters–total cholesterol, low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) in 329 adults with mental retardation (MR). Males were significantly taller and heavier than females, but females had a significantly higher BMI. Kendall’s Tau-C revealed a significant association between BMI and each of the following: height-weight, percent body fat, LDL-C, and HDL-C. However, there were a significant number of false negatives and false positives on each of the criteria. The congruence between at-risk BMI and two other obesity parameters (height-weight and percent body fat) in a population of adults with MR is not strong. Professionals should employ the BMI along with skinfold measures to assess a person’s at-risk status for excess weight.

scholarly journals ASSOCIATION BETWEEN BLOOD LIPID PROFILE AND BLOOD GLUCOSE LEVELS IN MEN WITH CORONARY HEART DISEASE, METABOLIC SYNDROME, AND TYPE 2 DIABETES MELLITUS

2013 ◽  
Vol 12 (5) ◽  
pp. 29-33
Author(s):  
S. A. Matveeva
Keyword(s):  
Blood Glucose ◽  
Lipid Profile ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Lipoprotein Cholesterol ◽  
Blood Lipid Profile ◽  
Glucose Levels ◽  
Blood Glucose Levels

Aim.To study the associations between blood lipid profile and blood glucose levels in men with coronary heart disease (CHD), stable effort angina (SEA), metabolic syndrome (MS), and Type 2 diabetes mellitus (DM-2).Material and methods.The study included 82 men (mean age 50,5±0,9 years) with CHD, Functional Class I–III SEA, MS, and DM-2. The following lipid profile parameters were assessed: total cholesterol (TCH), triglycerides (TG), low-density lipoprotein cholesterol (LDL–CH), very low-density lipoprotein cholesterol (VLDL–CH), high-density lipoprotein cholesterol (HDL–CH), atherogenic index (AI), and triglyceride index (TGI), together with fasting blood glucose.Results.There were positive (direct) associations between higher levels (>90th percentile) of lipid profile parameters (TCH, TG, LDL–CH, VLDL– CH, HDL–CH, AI, TGI) and blood glucose, as well as between lower levels (≤10th percentile) of lipid profile parameters (TCH, TG, LDL–CH, VLDL– CH, AI, TGI) and blood glucose. At the same time, there were negative (inverse) associations between lower lipid levels (≤10th percentile of TCH, TG, LDL–CH, VLDL–CH, HDL–CH, AI, TGI) and higher glucose levels (>90th percentile), as well as between higher lipid levels (>90th percentile of TCH, TG, LDL–CH, VLDL–CH, HDL–CH, AI, TGI) and lower glucose levels (≤10th percentile).Conclusion.Dyslipidemia and hyperglycemia demonstrate synergetic proatherogenic effects in patients with CHD, SEA, MS, and DM-2, as suggested by significant heterogeneous (direct and inverse) associations between lipid profile parameters and fasting blood glucose. The results obtained provide an opportunity for the assessment of risk levels, prognosis, and need for pharmacological prevention and treatment in patients with combined cardiovascular pathology. 

Effect of Curcumin on the Level of Blood Lipid and Blood Glucose in Diabetic Rat Model

2014 ◽  
Vol 1051 ◽  
pp. 419-422
Author(s):  
Ming San Miao ◽  
Lin Guo ◽  
Shuo Tian ◽  
Tan Wang
Keyword(s):  
Blood Glucose ◽  
Rat Model ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Lipoprotein Cholesterol ◽  
Diabetic Rat ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Diabetic Rat Model

Objective: To investigate the effects of curcumin on blood lipid and blood glucose levels and its mechanism in diabetic rat model. Method: After streptozotocin (STZ) induced diabetic rat model, large, medium and small doses of curcumin group were partly given curcumin solution 400,200,100mg·kg-1, administered once a day, continuously 30 days. In 30 th day, determine blood glucose (BG) value, after the last injection , determine the serum total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) levels. Results: Compared with the model group rats, each dose of curcumin group rats’ BG, TC, TG and LDL-C levels were significantly decreased, HDL-C levels was increased significantly. Conclusion: Curcumin has a certain impact on blood lipids and blood glucose in diabetic rat model.

scholarly journals The Effects of Different Levels of Dietary Protein and L-Carnitine on Blood Sugar and Lipids of the New GIFT Strain of Juvenile Nile Tilapia (Oreochromis niloticus)

2009 ◽  
Vol 9 ◽  
pp. 1197-1205 ◽  
Author(s):  
Gang Chen ◽  
Minghui Zhang ◽  
Jiandong Zhang ◽  
Hongbiao Dong ◽  
Hui Zhou ◽  
...  
Keyword(s):  
Blood Sugar ◽  
Dietary Protein ◽  
Nile Tilapia ◽  
Low Density Lipoprotein ◽  
Interactive Effect ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Lipoprotein Cholesterol ◽  
Genetically Improved ◽  
Different Levels

The new GIFT (Genetically Improved Farmed Tilapia) strain of Nile tilapia is a popular cultivated fish in Asia, but intensive aquaculture using nutritionally imbalanced feed has led to disorder of lipid metabolisms. An 8-week feeding experiment was conducted in order to assess the effects of different levels of L-carnitine (0, 200, 400, 600, and 800 mg/kg) and dietary protein (22, 25, and 28%) on blood sugar and blood lipid contents of the new juvenile GIFT strain of Nile tilapia. Results showed that dietary protein and L-carnitine had significant influences on glucose (GLU), high-density lipoprotein–cholesterol (HDL-C), total cholesterol (TC), triglyceride (TG), and low-density lipoprotein–cholesterol (LDL-C) in the blood serum. The contents of GLU and HDL-C increased with the increases in dietary protein and L-carnitine levels, while the contents of TC, LDL-C, and TG decreased with the increases in dietary protein and L-carnitine levels. The interactive effect of both dietary protein and L-carnitine was most significant on GLU (p= 0.0001), followed by TG (p= 0.001), TC (p= 0.005), HDL-C (p= 0.056), and LDL-C (p= 0.109). These results suggested that high levels of dietary protein and L-carnitine supplementation reduce blood lipids and the burden of the fish liver.

scholarly journals Optimal cut-off points after a daily meal corresponding to fasting goal levels of LDL-C and non-HDL-C in Chinese patients with coronary heart disease

2020 ◽  
Author(s):  
Li-Ling Guo ◽  
Yan-qiao Chen ◽  
Qiu-zhen Lin ◽  
Feng Tian ◽  
Qun-Yan Xiang ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Lipoprotein Cholesterol ◽  
Chinese Patients ◽  
C Statistic ◽  
Blood Lipid Levels

Abstract Background: Although the detection of non-fasting blood lipids has been recommended in patients with coronary heart disease (CHD), the non-fasting cut-off points corresponding to the fasting goals of LDL-C < 1.8 mmol/Land non-HDL-C < 2.6 mmol/L, respectively, have not been explored. Methods: This study enrolled 397 inpatients with CHD. One hundred and ninety-seven patients took statins for < 1 month (m) or did not take any statin before admission (i.e. CHD1 group), while 204 patients took statins for ≥ 1 m before admission (i.e. CHD2 group). Blood lipid levels were measured at 0 h, 2 h, and 4 h after a daily breakfast. Results: Non-fasting low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels significantly decreased after a daily meal ( P < 0.05). Both fasting and non-fasting LDL-C or non-HDL-C levels were significantly lower in the CHD2 group. The percent attainment of LDL-C < 1.8 mmol/L at 2 h or 4 h after a daily breakfast was significantly higher than that of its fasting point ( P < 0.05), whereas that of non-HDL-C < 2.6 mmol/L was significantly higher only at 4 h ( P < 0.05). Analysis of c-statistic showed that non-fasting cut-off points for LDL-C and non-HDL-C were 1.5 mmol/L and 2.4 mmol/L, corresponding to their fasting goal levels of 1.8 mmol/L and 2.6 mmol/L, respectively. When postprandial LDL-C and non-HDL-C goal attainments were re-evaluated by non-fasting cut-off points, there were no significant differences in percent attainment between fasting and non-fasting states. Conclusions: Determination ofnon-fasting cut-off points is important to evaluate the efficacy of cholesterol-lowering therapy if blood lipids are detected after a daily meal.

scholarly journals Comparison Between Fasting and Non-Fasting Cut-Off Values of Triglyceride in Diagnosing High Triglyceride in Chinese Hypertensive Outpatients

2021 ◽  
Author(s):  
Yingying Xie ◽  
Peiliu Qu ◽  
Tie Wen ◽  
Ling Liu ◽  
Xiao Du ◽  
...  
Keyword(s):  
Blood Lipids ◽  
Statistical Significance ◽  
Low Density Lipoprotein ◽  
Venous Blood ◽  
Density Lipoprotein ◽  
Direct Methods ◽  
Blood Lipid ◽  
Serum Levels ◽  
Lipoprotein Cholesterol ◽  
Fasting State

Abstract Background: Hypertension (HBP) often occurs together with hypertriglyceridemia that indicates elevated triglyceride (TG) and remnant cholesterol (RC) levels. Non-fasting (i.e. postprandial) blood lipid test after a daily meal has been recommended by the European Atherosclerosis Society (EAS). However, little is known about the difference between fasting and non-fasting cut-off values in assessing high TG (HTG) and high RC (HRC) in HBP outpatients.Methods: Two hundred and twenty-five Chinese outpatients with HBP were enrolled in this study. According to the time of blood lipid test, they were divided into two groups, i.e. the fasting group (n=119) and the non-fasting group (n=139). Non-fasting levels of blood lipids at 2 h after a daily breakfast were also tested in 33 patients among the fasting group. Venous blood samples were collected. Serum levels of blood lipids were measured by the enzymatic and direct methods on a HITACHI 7170A analyzer or estimated via related formulas. Results: The non-fasting group had significantly higher levels of TG and RC while lower levels of total cholesterol, low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol than the fasting group (P＜0.05). According to TG and RC cut-off values of the EAS, the percentages of HTG and HRC in the non-fasting group were 67.6% and 65.6%, respectively, while those in the fasting group were 57.1% and 52.9%, respectively. However, the percentages of HTG in the fasting state and at 2 h after a daily breakfast in 33 outpatients did not reach statistical significance (57.6% v.s. 51.5%). So did the fasting and at 2 h non-fasting percentages of HRC in them.Conclusion: Non-fasting blood lipid test could find more HBP outpatients with HTG in Chinese outpatients with HBP. However, the percentage of HTG at 2h after a daily breakfast seemed to be close to that in the fasting state.

The Impact of Physical Activity on Lipids, Lipoproteins, and Blood Pressure in Preadolescent Girls

PEDIATRICS ◽  
1996 ◽  
Vol 98 (3) ◽  
pp. 389-395
Author(s):  
Suzanne B. Craig ◽  
Linda G. Bandini ◽  
Alice H. Lichtenstein ◽  
Ernst J. Schaefer ◽  
William H. Dietz
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Energy Expenditure ◽  
Body Fat ◽  
Resting Metabolic Rate ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Percent Body Fat ◽  
Apo B

Objective. Inconsistent findings reported for the effect of physical activity on lipids, lipoproteins, and blood pressure in children may be due to errors inherent in the methods used to measure physical activity, lack of control for other cardiovascular risk factors, or both. The purpose of this study was to evaluate the association between physical activity assessed using direct measures of energy expenditure and cardiovascular risk factors, controlling for dietary intake and percent body fat. Methods. Nonresting energy expenditure was determined in 49 8- to 11-year-old girls from measurements of daily energy expenditure (using doubly-labeled water, 2H218O) and resting metabolic rate (using indirect calorimetry). Self-reported recall of the hours of participation in physical activities of at least moderate intensity (energy expenditure at least four times the resting metabolic rate, METS ≥4) during the previous year was also obtained. Percent body fat was estimated from the measurement of total body water with H218O. Concentrations of total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (apo B), apo A-I, lipoprotein (a), insulin, and estradiol, as well as the waist-to-hip ratio, systolic blood pressure, diastolic blood pressure, and dietary intake from 7-day food records were measured Data were analyzed using Pearson product-moment correlation and stepwise multiple regression. Results. Self-reported hours of participation in activities with METS (metabolic equivalents) of 4 or greater significantly predicted LDL-C and apo B concentrations, even after adjustment for percent body fat and percentage of dietary energy from saturated fat. Nonresting energy expenditure adjusted for weight, a measure of the energy spent on physical activity, did not predict LDL-C or high-density lipoprotein cholesterol concentrations. Body mass index and insulin concentration predicted systolic and diastolic blood pressure, respectively. Conclusions. These findings suggest that the intensity of physical activity may be a more important determinant of LDL-C in children than the energy spent on physical activity.

The Relationship Between Intensity of Physical Activity and HDL Cholesterol in 272 Women

2005 ◽  
Vol 2 (3) ◽  
pp. 333-344 ◽  
Author(s):  
James D. LeCheminant ◽  
Larry A. Tucker ◽  
Bruce W. Bailey ◽  
Travis Peterson
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Low Density Lipoprotein ◽  
Strong Association ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Lipoprotein Cholesterol ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Measured Intensity

Purpose:To determine objectively measured intensity of physical activity (iPA) and its relationship to high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and the LDL/HDL ratio in women.Methods:Two hundred seventy-two women (40.1 y) wore CSA-MTI model 7164 accelerometers to index intensity and volume of physical activity for 7 d. Blood lipids were measured at a certified laboratory.Results:HDL-C was 52.1 ± 10.1, 52.2 ± 9.7, and 56.1 ± 11.1 mg/dL for the low, medium, and high intensity groups (P = 0.040), LDL-C differences were not significant (P = 0.23). LDL/HDL differences were observed (P = 0.030) with specific differences between the low and high iPA groups (P = 0.006). For HDL-C and LDL/HDL, significant relationships remained with control of dietary fat and age but not body fat percentage or volume of activity.Conclusions:High iPA had higher HDL-C levels and lower LDL/HDL ratios than low and medium iPA. The iPA was predictive of HDL-C partly due to its strong association with volume of activity and body fat percentage.

Sign in / Sign up

Export Citation Format

Share Document