Article

Distribution of C-reactive protein and its association with cardiovascular risk factors in a population-based sample of Chinese.

Department of Health Statistics, Second Military Medical University, Shanghai, China.
Disease markers (impact factor: 1.64). 01/2010; 28(6):333-42. DOI:10.3233/DMA-2010-0713 pp.333-42
Source: PubMed

ABSTRACT C-reactive protein (CRP) levels vary remarkably with ethnic status. Its distribution and correlates should be investigated across diverse populations, and these were limited in a representative Chinese population. We investigated 3133 participants aged 18-80 years in Shanghai, which were sampled using a randomized, stratified, multi-stage sampling method. The distribution of CRP was highly skewed toward a lower level. The median CRP was 0.55 mg/L (0.61 mg/L in males, 0.51 mg/L in females). Participants living in urban region had higher CRP levels than those in rural region (0.67 vs. 0.46 mg/L). CRP levels showed significant correlation with traditional cardiovascular risk factors, and it was most strongly correlated with body mass index. Multivariate logistic regression analyses indicated that elevated CRP (being in the top 15 percentile of CRP; CRP > or =2.09 mg/L) was significantly associated with obesity, hypertension, diabetes, low high-density lipoprotein cholesterol, high low-density lipoprotein cholesterol, high triglycerides and cardiovascular disease history. In conclusion, the distribution of CRP in adult Chinese was comparable with that of many other Asian populations but different from that of Western populations. Metabolic impairment was associated with elevated CRP, and CRP levels should be interpreted in conjunction with the lipid profile.

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Keywords

3133 participants
 
Asian populations
 
body mass index
 
C-reactive protein
 
cardiovascular disease history
 
CRP levels
 
diverse populations
 
elevated CRP
 
ethnic status
 
females
 
low high-density lipoprotein cholesterol
 
low-density lipoprotein cholesterol
 
median CRP
 
Multivariate logistic regression analyses
 
representative Chinese population
 
rural region
 
significant correlation
 
top 15 percentile
 
urban region
 
Western populations
 

Yanfang Zhao