title: Association between inflammatory markers and cardiovascular risk factors in women from Kolkata, W.B, India.
abstract: BACKGROUND
  Recent research has focused on the use of inflammatory biomarkers in the prediction of cardiovascular risk. However, information is scant regarding the association between these inflammatory markers with other cardiovascular risk factors in Asian Indians, particularly in women.
  
  
  OBJECTIVE
  To explore the association between inflammatory markers such as high-sensitivity C-reactive protein (hs-CRP) and white blood cell (WBC) count and cardiovascular risk factors such as overall and central adiposity, blood pressure, lipid and lipoprotein variables and fasting glucose.
  
  
  METHODS
  We conducted a cross-sectional analysis on 100 women aged 35-80 years. Participants were selected following cluster sampling methodology from 12 different randomly selected urban wards of Kolkata Municipal Corporation.
  
  
  RESULTS
  Hs-CRP has a significant association with body mass index (BMI) ( p < 0.001) and waist circumference (WC) (p = 0.002). Significant inverse associations were observed between high-density lipoprotein cholesterol (HDL-C) and both inflammatory markers, hs-CRP (p = 0.031) and WBC count, (p = 0.014). Apolipoprotein A1 (Apo A1) was also negatively associated with hs-CRP. WBC count has significant correlation with fasting glucose and total cholesterol (TC) /HDL-C ratio. Using logistic regression, adjusting for age, BMI (odds ratio/OR, 1.186; confidence interval/CI, 1.046-1.345; p = 0.008) and WC (OR, 1.045; CI, 1.005-1.087; p = 0.027) were the covariates significantly associated with hs-CRP.
  
  
  CONCLUSIONS
  In the present study, risk factors like BMI, WC, and HDL-C and apo A1 show significant association with hs-CRP. WBC count was significantly correlated with HDL-C, fasting glucose, TC/HDL-C ratio in women.
authors.affiliation: Department of Physiology, University College of Science and Technology, University of Calcutta, West Bengal, India.
authors.forename: Debdutta
authors.initials: D
authors.lastname: Ganguli
authors.forename: Nilanjan
authors.initials: N
authors.lastname: Das
authors.forename: Indranil
authors.initials: I
authors.lastname: Saha
authors.forename: Krishna Rao
authors.initials: KR
authors.lastname: Sanapala
authors.forename: Debnath
authors.initials: D
authors.lastname: Chaudhuri
authors.forename: Saurabh
authors.initials: S
authors.lastname: Ghosh
authors.forename: Sanjit
authors.initials: S
authors.lastname: Dey
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016632:Apolipoprotein A-I / Q000097:blood*; D015415:Biomarkers / Q000097:blood; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000032:analysis*; D002318:Cardiovascular Diseases / Q000097:blood*; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007194:India; D007958:Leukocyte Count; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D055105:Waist Circumference; D044465:White People
chemical_list: D016632:Apolipoprotein A-I; D015415:Biomarkers; D008076:Cholesterol, HDL; D002097:C-Reactive Protein; D002784:Cholesterol