High sensitivity C-reactive protein associated with different health predictors in middle-aged and oldest old Chinese.

Journal Article (Journal Article)

OBJECTIVE: To describe the distribution of plasma high sensitivity C-reactive protein (hsCRP) and explore the relationship between hsCRP and metabolic risk factors among residents living in longevity areas of China. METHODS: 268 individuals aged between 40 and 59 years and 506 individuals aged over 90 years were selected from 5 longevity areas of China to participate in a cross section longitudinal cohort study. The participants were interviewed with general health related questionnaire to collect their demographic, behavioral and lifestyle data, as well as their chronic conditions, and meanwhile their physical and biomedical parameters including waist circumference (WC), blood pressure (BP), hsCRP, plasma lipids, and fasting blood glucose (FBG) were measured. RESULTS: The median of hsCRP was 0.99 mg/L in the middle-aged group and 1.76 mg/L in the oldest old group. No significant gender difference was observed between the above two groups. Among the oldest old individuals, 36.56% had an hsCRP level >3.0 mg/L. The prevalence of high hsCRP was 16.79% in the middle-aged group. The results of stepwise multiple linear regression analyses showed that HDL-C was independently associated with ln (hsCRP) concentration in the middle-aged group, whereas ln (TG), HDL-C and FBG were correlated after adjustment for gender, study site, smoking, drinking, education and BMI in the oldest old group. CONCLUSION: HDL-C is a stronger predictor of elevated hsCRP than other metabolic factors in the middle-aged population. For the oldest old persons, high TG, low HDL-C, and FBG predict elevated plasma hsCRP.

Full Text

Duke Authors

Cited Authors

  • Zhai, Y; Shi, XM; Fitzgerald, SM; Qian, HZ; Kraus, VB; Sereny, M; Hu, P; Yin, ZX; Xu, JW; Zeng, Y

Published Date

  • June 2012

Published In

Volume / Issue

  • 25 / 3

Start / End Page

  • 257 - 266

PubMed ID

  • 22840575

Pubmed Central ID

  • PMC4579244

International Standard Serial Number (ISSN)

  • 0895-3988

Digital Object Identifier (DOI)

  • 10.3967/0895-3988.2012.03.002


  • eng

Conference Location

  • China