Differentiation of Overweight from Normal Weight Young Adults by Postprandial Heart Rate Variability and Systolic Blood Pressure
Introduction: Obesity and cardiovascular disease are inextricably linked and the health community’s response to the current epidemic of adolescent obesity may be improved by the ability to target adolescents at highest risk for developing cardiovascular disease in the future. Overweight manifest...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JCDR Research and Publications Private Limited
2016-08-01
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| Series: | Journal of Clinical and Diagnostic Research |
| Subjects: | |
| Online Access: | https://jcdr.net/articles/PDF/8343/20410_CE[Ra1]_F(GH)_PF1(ROAK)_PFA(P)_PF2(PAG).pdf |
| Summary: | Introduction: Obesity and cardiovascular disease are
inextricably linked and the health community’s response to the
current epidemic of adolescent obesity may be improved by
the ability to target adolescents at highest risk for developing
cardiovascular disease in the future. Overweight manifests early
as autonomic dysregulation and current methods do not permit
differentiation of overweight adolescents or young adults at
highest risk for developing cardiovascular disease.
Aim: This study was designed to test the hypothesis that
scaling exponents motivated by nonlinear fractal analyses of
Heart Rate Variability (HRV) differentiate overweight, otherwise
healthy adolescent/young adult subjects at risk for developing
prehypertension, the primary forerunner of cardiovascular
disease.
Materials and Methods: The subjects were 18-20year
old males with Body Mass Index (BMI) 20.1-42.5kg/m2
.
Electrocardiographic inter-beat (RR) intervals were measured
during 3h periods of bed rest after overnight fasting and ingestion
of 900Cal high-carbohydrate and high-fat test beverages on
separate days. Detrended Fluctuation Analysis (DFA), k-means
cluster and ANOVA analyses of scaling coefficients α, α1
, and
α2
, showed dependencies on hourly measurements of systolic
blood pressure and on premeasured BMI.
Results: It was observed that α value increased during the
caloric challenge, appears to represent metabolically-induced
changes in HRV across the participants. An ancillary analysis
was performed to determine the dependency on BMI without
BMI as a parameter. Cluster analysis of the high-carbohydrate
test beverage treatment and the high-fat treatment produced
grouping with very little overlap. ANOVA on both clusters
demonstrated significance at p<0.001. We were able to
demonstrate increased sympathetic modulation of our study
group during ingestion and metabolism of isocaloric highcarbohydrate and high-fat test beverages.
Conclusion: These findings demonstrate significantly different
clustering of α, α1, and α2 and Systolic Blood Pressure (SBP)
with respect to normal, overweight and obese BMI. |
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| ISSN: | 2249-782X 0973-709X |