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Cardiovascular age of aviation personnel: based on principal component analysis of heart rate and blood pressure variability

Cardiovascular age of aviation personnel: based on principal component analysis of heart rate and blood pressure variability
Cardiovascular age of aviation personnel: based on principal component analysis of heart rate and blood pressure variability
Objective: To introduce a method to calculate cardiovascular age, a new, accurate and much simpler index for assessing cardiovascular autonomic regulatory function, based on statistical analysis of heart rate and blood pressure variability (HRV and BPV) and baroreflex sensitivity (BRS) data.
Methods: Firstly, HRV and BPV of 89 healthy aviation personnel were analyzed by the conventional autoregressive (AR) spectral analysis and their spontaneous BRS was obtained by the sequence method. Secondly, principal component analysis was conducted over original and derived indices of HRV, BPV and BRS data and the relevant principal components, Pciorig and Pcideri (I=1, 2, 3,...) were obtained. Finally, the equation for calculating cardiovascular age was obtained by multiple regression with the chronological age being assigned as the dependent variable and the principal components significantly related to age as the regressors.
Results: The first four principal components of original indices accounted for over 90? of total variance of the indices, so did the first three principal components of derived indices. So, these seven principal components could reflect the information of cardiovascular autonomic regulation which was embodied in the 17 indices of HRV, BPV and BRS exactly with a minimal loss of information. Of the seven principal components, PC2orig, PC4orig and PC2deri were negatively correlated with the chronological age (P<0.05), whereas the PC3orig was positively correlated with the chronological age (P<0.01). The cardiovascular age thus calculated from the regression equation was significantly correlated with the chronological age among the 89 aviation personnel (r=0.73, P<0.01).
Conclusion: The cardiovascular age calculated based on a multi-variate analysis of HRV, BPV and BRS could be regarded as a comprehensive indicator reflecting the age dependency of autonomic regulation of cardiovascular system in healthy aviation personnel.
1000-1948
64-70
Niu, Y.G.
6a8db407-776b-4a5f-a074-b4bb4bc48075
Wang, S.
8bce5bdb-420c-4b22-b009-8f4ce1febaa8
Zhang, Y.H.
2d5df3ce-7171-4f49-b2bc-9e52937005c3
Wang, X.B.
c381d6f4-2bb0-4f53-b1e7-51612c6feaa3
Zhang, L.F.
cdce1da7-7727-4595-b114-dc85c571d9ce
Niu, Y.G.
6a8db407-776b-4a5f-a074-b4bb4bc48075
Wang, S.
8bce5bdb-420c-4b22-b009-8f4ce1febaa8
Zhang, Y.H.
2d5df3ce-7171-4f49-b2bc-9e52937005c3
Wang, X.B.
c381d6f4-2bb0-4f53-b1e7-51612c6feaa3
Zhang, L.F.
cdce1da7-7727-4595-b114-dc85c571d9ce

Niu, Y.G., Wang, S., Zhang, Y.H., Wang, X.B. and Zhang, L.F. (2004) Cardiovascular age of aviation personnel: based on principal component analysis of heart rate and blood pressure variability. Journal of Medical Colleges of PLA, 19 (1), 64-70.

Record type: Article

Abstract

Objective: To introduce a method to calculate cardiovascular age, a new, accurate and much simpler index for assessing cardiovascular autonomic regulatory function, based on statistical analysis of heart rate and blood pressure variability (HRV and BPV) and baroreflex sensitivity (BRS) data.
Methods: Firstly, HRV and BPV of 89 healthy aviation personnel were analyzed by the conventional autoregressive (AR) spectral analysis and their spontaneous BRS was obtained by the sequence method. Secondly, principal component analysis was conducted over original and derived indices of HRV, BPV and BRS data and the relevant principal components, Pciorig and Pcideri (I=1, 2, 3,...) were obtained. Finally, the equation for calculating cardiovascular age was obtained by multiple regression with the chronological age being assigned as the dependent variable and the principal components significantly related to age as the regressors.
Results: The first four principal components of original indices accounted for over 90? of total variance of the indices, so did the first three principal components of derived indices. So, these seven principal components could reflect the information of cardiovascular autonomic regulation which was embodied in the 17 indices of HRV, BPV and BRS exactly with a minimal loss of information. Of the seven principal components, PC2orig, PC4orig and PC2deri were negatively correlated with the chronological age (P<0.05), whereas the PC3orig was positively correlated with the chronological age (P<0.01). The cardiovascular age thus calculated from the regression equation was significantly correlated with the chronological age among the 89 aviation personnel (r=0.73, P<0.01).
Conclusion: The cardiovascular age calculated based on a multi-variate analysis of HRV, BPV and BRS could be regarded as a comprehensive indicator reflecting the age dependency of autonomic regulation of cardiovascular system in healthy aviation personnel.

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Published date: 2004
Organisations: Human Sciences Group

Identifiers

Local EPrints ID: 49607
URI: http://eprints.soton.ac.uk/id/eprint/49607
ISSN: 1000-1948
PURE UUID: 7d21680d-e7d2-46c1-8a39-8e7771d7ed08

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Date deposited: 22 Nov 2007
Last modified: 04 Oct 2022 16:53

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Contributors

Author: Y.G. Niu
Author: S. Wang
Author: Y.H. Zhang
Author: X.B. Wang
Author: L.F. Zhang

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