OBJECTIVE: Body composition analysis is useful technique for assessing hydration, nutritional status and predicting clinical outcomes. Bioimpedance analysis (BIA) is a cheap and noninvasive tool for monitoring body composition but needs some improvements regarding measurement methods. We aimed to fi nd out if body position has an effect on the BIA results. MATERIAL and METHODS: Personal characteristics including age, gender, height, weight and blood pressure were recorded. Hydration and nutritional status measured by body composition monitor in supine and standing positions consequently for each individual. RESULTS: Two hundred and one populations from various region in Turkey, 61% (n: 123) male, mean age was 46.3±12 years (18-76) of age, participated in this crossectional study. From supine to standing positions overhydration and extracellular water (ECW) were increased from 0.04±1.08 and 17.69±2.92 to 0.46±1.05 L and 17.84±2.90 L while intracellular water (ICW) decreased from 22.55±4.35 to 22.04±4.28 L signifi cantly. Systolic and diastolic blood pressures were 131.3±18.1 and 75.1±12 decreased to 127.0±16.0 and 72.2±9.0 mmHg in supine to standing positions (p> 0.05). CONCLUSION: Supine and standing positions could affect the volume parameters of BIA due to shift of ECW and ICW by gravity but nutritional parameters also changes signifi cantly. Protocols should be re evaluated in order to get more accurate results in bioimpedance measurements.

Objectives. Hypertension and hypervolemia relationship was proven among renal disease, although it is not known in normal population. Present study determines the fluid distribution defects in relation to blood pressure. Material and Methods. In a population-based survey in Turkey demographics, height, weight, blood pressure, urine analysis, and serum creatinine measurements were recorded. Bioimpedance measured with the Body Composition Monitor. Results. Total 2034 population of 71.6% male, mean age 47 ± 12.6 (18–89) years, systolic blood pressure (SBP) 134.7 ± 20, diastolic blood pressure 77.9 ± 11.6 mmHg. Body mass index (BMI) was 28.5 ± 4.5 (15.8–50.6) kg/m2; overhydration was 0.05 ± 1.05 L. There was a correlation between extracellular water (ECW)/height and SBP (r = 0.21, P < 0.001). Receiver operating characteristic (ROC) curve with the performance of 0.60 (P < 0.001) that showed cut-off value of ECW/height was 10.06 L/m, with the 69% sensitivity and 45% specificity for SBP: 140 mmHg values. Risk factors for high SBP were increase of ECW/Height, age, BMI and presence of diabetes. ECW/height, SBP, and fat tissue index (FTI) increased in BMI categories (low, normal, and obese) and in diabetics. SBP and FTI were lower in smokers. Conclusions. High blood pressure may be accompanied by increased extracellular volume indices. In the future volume status assessment could be of use in evaluating the effectiveness of pharmacological intervention in the treatment of hypertension.

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