We first estimated the crude OR selleck catalog according to category of hs-CRP and then adjusted for age (20�C39, 40�C49, 50�C59, 60�C69, and ��70 years) and sex (model I). We further performed multivariate analysis to additionally adjust for potential confounding risk factors, which were identified by consulting the relevant literature. These risk factors included BMI (<25, ��25 kg/m2), abdominal obesity (men, ��90 or <90 cm; women, ��80 or <80 cm), diabetes, hypertension, dyslipidemia, aspirin use, smoking, alcohol consumption, and exercise (model II). Model III was additionally adjusted for BMI, abdominal obesity, diabetes, hypertension, dyslipidemia, aspirin use, smoking, alcohol consumption, exercise, education level, and monthly income.

During this analysis, we dichotomized exercise into active (��3 sessions/week) versus inactive, drinker (��4 drinks/week) versus nondrinker, education level (��12 vs <12 years), and monthly income (��2500 vs <2500 US dollars). Analyses evaluated all-cancer risk and the risks for some major primary sites and pathologic types. Likelihood ratio tests were used to assess linear trends in ORs with respect to hs-CRP tertile, which yielded quantitative scores for all levels (1, 2, and 3). We also estimated the associations between hs-CRP and the risk of cancer after excluding cancers detected within 1 year of health examination. All statistical tests and corresponding P values were 2-sided, and a P value less than 0.05 was considered statistically significant. We analyzed data using the statistical software package SAS version 9.1 (SAS Institute, Cary, NC, USA).

RESULTS The demographic characteristics of the study participants are presented in Table Table1.1. A total of 80 052 non-cases, 729 cancer cases with 88 subgroup cancer annotation were included. The mean age of cases and non-cases was 55.1 and 47.6 years, respectively. As compared with non-cases, cases were older (P < 0.01), more physically active (P < 0.01), less educated (P < 0.01), and more likely to be aspirin users (P = 0.0002). Cases were also more likely to have comorbid conditions (hypertension, diabetes, or dyslipidemia). Cases and non-cases had similar distributions of sex, smoking status, alcohol consumption, and income. Table 1. Demographic characteristics of study subjects The anthropometric and laboratory characteristics of the study participants are shown in Table Table2.

2. As compared with non-cases, Brefeldin_A cases had a higher BMI (P = 0.047), larger waist circumference (P < 0.01), higher blood pressure (P < 0.01), higher serum fasting glucose (P < 0.01), lower HDL cholesterol (P < 0.01), and a higher prevalence of metabolic syndrome (P < 0.01). Serum triglyceride levels were not significantly different between cases and non-cases. Mean serum hs-CRP level was significantly higher among cases (2.9 mg/L) than non-cases (1.4 mg/L; P < 0.