Hypertension is an easily diagnosed and eminently modifiable risk factor for the development of all clinical manifestations of atherosclerosis. Despite the availability of a simple, non-invasive, and rather accurate method of measuring blood pressure (BP), and overwhelming evidence that reducing BP effectively prevents cardiovascular events, hypertension at the population level is not managed optimally. In 1997/ 1998 and 2000/2001, two surveys for cardiovascular risk factors were conducted in nine districts of the Czech Republic, involving a 1% population random sample aged 25-64 years in each district. In concordance with the MONICA Project, the present study confirms a high prevalence of hypertension in the Czech population, detecting an increase in prevalence for the male population over a period of 3 years (males from 38.8 in
Central blood pressure (BP) has been shown to be a better predictor of target organ damage and cardiovascular events than brachial BP. Whether central BP is a better predictor of left ventricular hypertrophy (LVH) determined by electrocardiography (ECG) is not known. Radial applanation tonometry and ECG were performed in 728 subjects from the Czech Post-MONICA Study (a randomly selected 1% population sample). LVH was determined using the Sokolow-Lyon index and Cornell product; central pressure was derived from radial pulse. Of 657 subjects included in the analysis, 17 (9.4%) below 45 years and 43 (9%) over 45 years had LVH. In multiple linear regression analysis, the Sokolow-Lyon index in younger individuals was only associated with male sex and low BMI, with no association with BP found. In older individuals, LVH was associated with higher central and brachial BP. In separate binary logistic regression analyses adjusted for covariates, the odds ratio for central systolic pressure was higher than those for brachial systolic and pulse pressure in LVH prediction. Noninvasively determined central pressure in subjects over 45 years is more strongly related to ECG LVH than brachial pressure. This further supports a closer association of central pressure with target organ damage. Voltage criteria of LVH are not independently associated with central or brachial BP in younger individuals.
The role of the FTO gene in obesity development is well established in populations around the world. The NYD-SP18 variant has been suggested to have a similar effect on BMI, but the role of this gene in determining BMI has not yet been verified. The objective of our study was to confirm the association between NYD-SP18 rs6971019 SNP and BMI in the Slavic population and to analyze i) the gender-specific effects of NYD-SP18 on BMI and ii) the simultaneous effect of FTO rs17817449 and NYD-SP18 on BMI. We analyzed a sample of a large adult population based on the post-MONICA study (1,191 males and 1,368 females). Individuals were analyzed three times over 9 years. NYD-SP18 rs6971019 SNP is related to BMI in males (2000/1 GG 28.3±3.7 kg/m 2 vs. +A 27.5±3.7 kg/m 2 P<0.0005; in other examinations P<0.05 and <0.005), but not in females (all P values over 0.48 in all three examinations). Further analysis revealed the significant additive effect (but not the interaction) of FTO and NYD-SP18 SNPs on BMI in males (all P<0.01). These results suggest that association between NYD-SP18 rs6971019 SNP and BMI may be restricted to males.Furthermore, variants within NYD-SP18 and FTO genes revealed a significant additive effect on BMI values in males.
Some studies have suggested that there could be an association
between the duration of sleep in humans and development of the
obesity. We have analyzed the group of the probands (n = 3970,
2038 males and 1932 females, aged 18-65 years), with
permanent address in the Central or South Bohemia. We
ascertained the relationship between the duration of their sleep
(obtained per questionnaire) and body mass index, weight,
height, the value of systolic and diastolic blood pressure, heart
rate, waist and hip circumference, the values of total-, high
density- and low density- cholesterol, thyroid hormone and body
exercise performed. The optimal values of the body mass index
(and optimal body weight) were associated with the duration of
sleep 7 hours per night (P < 0.001). This association was found
both in males and females and in both districts. Other
anthropometrical and biochemical parameters were not
associated with the sleep duration.
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