Key result
A one standard deviation decrease in heart rate variability (SDNN) increased the odds of developing metabolic syndrome over 12 years by 43% (OR 1.43; 95% CI 1.302-1.572; p<0.001).
Why the study?
Does autonomic imbalance (low heart rate variability and high resting heart rate) predict the development of metabolic syndrome in a community cohort?
Population
1143 offspring cohort participants from the Framingham Heart Study without metabolic syndrome at baseline…
Comparison
Autonomic imbalance vs Higher heart rate variability and lower resting…
Design
Cohort
Follow-up
12 years
Authors
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May inform autonomic risk stratification; hypothesis-generating and requires prospective trials before clinical adoption.
Cohort (n=1,143)
Does autonomic imbalance (low heart rate variability and high resting heart rate) predict the development of metabolic syndrome in a community cohort?
Odds Ratio: 1.43 (95% CI 1.302–1.572)
p-value: p=< .001
Autonomic imbalance, indicated by low heart rate variability and high resting heart rate, is a significant independent predictor of developing metabolic syndrome over 12 years.
Wulsin et al. (2015) conducted a cohort in metabolic syndrome (n=1,143). Autonomic imbalance (decreased heart rate variability and increased resting heart rate) was evaluated on Development of metabolic syndrome within 12 years (OR 1.43, 95% CI 1.302-1.572, p=< .001). A one standard deviation decrease in heart rate variability (SDNN) increased the odds of developing metabolic syndrome over 12 years by 43% (OR 1.43; 95% CI 1.302-1.572; p<0.001).
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