Associations of Metabolic Variables with Electrocardiographic Measures of Sympathovagal Balance in Healthy Young Adults
| Autor: | Mark D. Hatcher, Kim L. Goring, Rachel E. Austin, Richard M. Millis, Vernon Bond |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
education.field_of_study
medicine.medical_specialty business.industry Population 030209 endocrinology & metabolism 030204 cardiovascular system & hematology medicine.disease Obesity 3. Good health 03 medical and health sciences 0302 clinical medicine Internal medicine Power ratio Breathing Cardiology Medicine Heart rate variability Young adult business education A determinant Balance (ability) |
| Zdroj: | Advances in Electrocardiograms-Methods and Analysis |
| Popis: | Although obesity affects African-Americans disproportionately to their representation in the U.S. population, few studies have been performed to elucidate the mechanisms of maintaining body fat stores in healthy adolescent or young adult African-Americans with low and high percentages of body fat, before they have developed obesity-related diseases. Research has suggested some explanations, such as distrust and hesitancy about invasive procedures, to account for the sparse representation of African-Americans as subjects in research (Hamilton et al., 2006; Farmer et al., 2007; Braunstein et al., 2008). Indeed, advances in our knowledge of the obese phenotype have been impeded by the lack of noninvasive technologies for measuring the impact of body fat on physiological regulatory mechanisms. However, this impediment has effectively been overcome by the advent of heart rate variability analyses for elucidating autonomic mechanisms (Lucini et al., 2002). Such analyses make it possible to differentiate a wide variety of conditions with common autonomic etiologies (Vanninen et al., 1996; Narkiewicz et al., 1998; Salo et al., 2000; Gutierrez et al., 2002; Pichon et al., 2004). Previous studies have shown correlations between increments in vagal signaling and high frequency heart rate variability spectral power during controlled (paced) breathing (De Meersman et al., 1995; Sanderson et al., 1996; Badra, 2001). Although the percentage of body fat may be a determinant of heart rate variability spectral power measured at rest (Nagai et al., 2003; Chen et al., 2008), the influence of body fat on heart rate variability measurements was found to be nil when performed at rest and significant only during an autonomic challenge (Matsumoto et al., 1999). We have demonstrated positive correlations of the low frequency/high frequency heart rate variability spectral power ratio with the respiratory quotient before and after feeding (Millis et al., 2009) and negative correlations with the |
| Databáze: | OpenAIRE |
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