Prehypertension and cardiovascular risk factors in Kursk inhabitants

Objective. To assess the prevalence of prehypertension and its association with cardiovascular risk factors in Kursk citizens. Design and methods. Cross-sectional study was carried out in one of Kursk outpatient departments during 2010, and 170 patients were screened. All subjects were interviewed with special questionnaire about personal data, lifestyle factors, concomitant medical history and therapy. Blood pressure (BP) was measured 3 times at right hand and anthropometrical parameters were assessed. Serum lipids and glucose were measured by Hitachi-902 equipment (Roche reagents). Metabolic syndrome (MS) was diagnosed according to ATP III criteria (2001–2005), IDF 2005 and harmonized criteria JIS 2009. Results. Comparing subjects with optimal BP, prehypertension and arterial hypertension we found that higher BP levels were associated with the higher prevalence of triglyceridemia and higher values of waist circumference, subjects with higher BP were also older. The number of smokers was twice higher among prehypertensive males than in females. Comparing groups of participants with optimal BP, prehypertension and hypertension we found that MS prevalence was higher in subjects with higher BP levels independently of the criteria applied: NCEP-ATP III, IDF, or JIS. The highest MS prevalence was identified when JIS criteria were applied. Males with optimal BP did not have MS. Females had higher MS prevalence independently of MS criteria, and the higher parameters were found in the group of hypertension. The positive statistical correlations were found between following parameters: systolic BP with age and waist (p = 0,001), diastolic BP with waist (p = 0,001). BP level correlated with triglycerides level in males. Conclusions. Our study showed high prevalence of prehypertension and its association with metabolic disturbances. The early diagnosis of prehypertension and cardiovascular risk factors correction should be performed. The prevalence in our population group was similar with world data, the gender and age particularities were detected.

metabolic syndrome, prehypertension, hypertension, risk factors

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