Longitudinal Modeling of the Relationship between Age and Maximal Heart Rate
Abstract
A retrospective analysis of maximal graded exercise test (GXT) results for members participating in a university-based health-assessment/fitness center between 1978 and 2003 was undertaken in 2006. Records were examined from individuals (N = 132) of both sexes who represented a broad range of age and fitness levels and who had multiple GXT (total N = 908) conducted over 25 years. HRmax-prediction equations based on participants' age and HRmax elicited during the tests were developed using a linear mixed-models statistical analysis approach.
Clinical measurements obtained during the administration of the GXT included in this longitudinal study resulted in the generation of a univariate prediction model: HRmax = 207 - 0.7 x age. Model parameters were highly statistically significant (P
Citation impact
- FWCI
- 8.22
- Percentile
- 100%
- References
- 34
Authors
6Topics & keywords
- Medicine
- Heart rate
- Longitudinal study
- Univariate
- Univariate analysis
- Mathematics
- Internal medicine
- Statistics
- Good health and well-being