scholarly journals Correlation between C-reactive protein levels with leading risk factors for cardiovascular disease in men

2008 ◽  
Vol 61 (3-4) ◽  
pp. 164-168 ◽  
Author(s):  
Bosa Mirjanic-Azaric ◽  
Mirjana Djeric ◽  
Maja Vrhovac ◽  
Ljiljana Males-Bilic

Introduction The aim of this study was to estimate the correlation between C-reactive protein levels and leading risk factors for cardiovascular disease in men. Material and methods The study included 183 working capable men chosen randomly from the regular systematical check-up in Health Centre Banja Luka in 2006. Standard laboratory methods were used to establish the following: total cholesterol, triglyceride and HDL-cholesterol level and LDL-cholesterol level was calculated. . High sensitive C-reactive protein level was measured by immunuturbidimetric method CRP (Latex) HS Roche Diagnostic. Results Average values of high sensitive C-reactive protein for the whole group was 1.69 mg/L, total cholesterol 5.73 mmol/L, HDL-cholesterol 1.38 mmol/L, LDL-cholesterol 3.40 mmol/L. The average value for the systolic blood pressure was 132.9 mmHg, dyastolic blood pressure 85.4 mmHg, and body mass index 28.47 kg/m2. Out of the overall number of examinees, 74 were smokers (40.4%) and 109 (59.6%) nonsmokers. The statistical analysis showed that there was a statistically significant difference between C-reactive protein level in the group with dyastolic blood pressure below 90 mmHg and above (p<0.05); as well as statistically significant difference between the group with desirable body mass index and the group with increased BMI(p<0.05). Discussion The results of our study show that there is a significant correlation between CRP levels and high blood pressure, and in persons with increased body mass index. However, there was no correlation between CRP levels and total cholesterol HDL and LDL cholesterol levels. Conclusion High sensitive CRP screening is useful in early detection and prevention of cardiovascular diseases.

2016 ◽  
Vol 27 (6) ◽  
pp. 1083-1089 ◽  
Author(s):  
Maíra Ribas Goulart ◽  
Daniela Schneid Schuh ◽  
David W. Moraes ◽  
Sandra Mari Barbiero ◽  
Lucia Campos Pellanda

AbstractBackgroundThe prevalence of overweight in children with CHD is about 26.9%. Increase in adipose tissue is related to the secretion of proinflammatory markers such as C-reactive protein. Assuming that children with CHD are exposed to other inherent risk factors for heart disease, our objective was to evaluate the correlation between levels of C-reactive protein and body mass index in children and adolescents with CHD.MethodsA cross-sectional study with 377 children and adolescents with CHD in a clinical setting of a reference hospital was carried out. C-reactive protein data were collected after 12 hours of fasting. Nutritional status was classified according to body mass index. The patients were divided into three groups: cyanotic, acyanotic, and minimal heart defects (controls).ResultsThe mean age was 9.9±4.2 years, and 53.6% of the sample included males. The cyanotic group represented 22.3%, acyanotic 42.2%, and minimal defects 35.5% of the sample. The average body mass index percentile was 57.23±32.06. The median values of C-reactive protein were as follows: cyanotic 0.340, acyanotic with clinical repercussion 0.203, and minimal defects 0.128. There was a significant difference between the minimal defects and the cyanotic groups (p=0.023). There was a significant correlation between C-reactive protein and body mass index percentile (r=0.293, p<0.01). C-reactive protein levels were higher in girls (p=0.034). There were no significant correlations between C-reactive protein and age or birth weight.ConclusionThe correlation between body mass index percentile and C-reactive protein was confirmed in this population. The prevention of overweight is paramount to avoid overlapping modifiable risk factors to those already inherent to the CHD.


2003 ◽  
Vol 29 (2) ◽  
pp. 133-138 ◽  
Author(s):  
L Piéroni ◽  
JP Bastard ◽  
A Piton ◽  
L Khalil ◽  
B Hainque ◽  
...  

2020 ◽  
Vol 20 (8) ◽  
pp. 1268-1281 ◽  
Author(s):  
Giovanni De Pergola ◽  
Roberta Zupo ◽  
Luisa Lampignano ◽  
Caterina Bonfiglio ◽  
Gianluigi Giannelli ◽  
...  

Background: Identifying predictive factors that contribute to changes in body weight may well be an interesting approach to the management of obesity. Objective: This study was firstly aimed at examining the effect of a one-year lifestyle program based on improvements in the habitual diet and increased levels of physical activity on weight loss. Secondly, it was focused on identifying anthropometric, and serum hormonal, metabolic and haematochemical factors which can be associated with the degree of weight loss in Kg. Methods: 488 overweight or obese subjects, 383 women and 105 men, aged 18-67 years, were enrolled in the study. Body mass index, waist circumference, serum blood glucose, lipids, uric acid, creatinine, insulin, TSH, FT3, FT4, and 24-h urine catecholamines were measured. Results: Weight loss was positively associated with BMI (P < 0.01), waist circumference (P < 0.01), uric acid (P < 0.01), creatinine (P < 0.05), smoking (P < 0.01), and negatively correlated with age (P < 0.01), total cholesterol (P < 0.05), LDL-cholesterol (P < 0.01), HDL cholesterol (P < 0.05). In a multiple regression model considering weight loss as a dependent variable, and smoking, age, BMI, uric acid, creatinine, total cholesterol, LDL-cholesterol and HDL cholesterol as independent variables, weight loss maintained a direct independent relationship with BMI (P < 0.001), uric acid (P < 0.05), LDL-cholesterol (P < 0.05), and HDL-cholesterol (P < 0.05), and an inverse independent association with cholesterol (P < 0.01). Conclusions: This study suggests that higher BMI and uric acid levels, and lower total cholesterol concentrations are associated with a greater potential to lose weight.


2016 ◽  
Vol 52 (3) ◽  
pp. 419-427 ◽  
Author(s):  
J. L. Ebersole ◽  
R. J. Kryscio ◽  
C. Campbell ◽  
D. F. Kinane ◽  
J. McDevitt ◽  
...  

2010 ◽  
Vol 35 (2) ◽  
pp. 300-308 ◽  
Author(s):  
N J Timpson ◽  
B G Nordestgaard ◽  
R M Harbord ◽  
J Zacho ◽  
T M Frayling ◽  
...  

2012 ◽  
Vol 11 (3) ◽  
pp. 2258-2267 ◽  
Author(s):  
E. Flores-Alfaro ◽  
G. Fernández-Tilapa ◽  
E. Salazar-Martínez ◽  
M. Cruz ◽  
B. Illades-Aguiar ◽  
...  

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