Why the study?
How do gender, age, smoking, and physical training level affect the spectral components of short-term RR interval variability in healthy subjects?
Population
104 healthy subjects aged 40-77 years
Design
Cross-sectional
Follow-up
24 hours
Authors
Loading...
These covariates require adjustment in HRV analyses; leaves open their prognostic relevance and needs prospective validation.
How do gender, age, smoking, and physical training level affect the spectral components of short-term RR interval variability in healthy subjects?
Gender, age, smoking, and physical training level significantly impact the power and centre frequency of HF and LF components of RR interval variability, which must be accounted for in autonomic balance investigations.
Mølgaard et al. (1994) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: