Short-term heart rate variability--influence of gender and age in healthy subjects. 2015

Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Jena, Germany.

In the recent years, short-term heart rate variability (HRV) describing complex variations of beat-to-beat interval series that are mainly controlled by the autonomic nervous system (ANS) has been increasingly analyzed to assess the ANS activity in different diseases and under various conditions. In contrast to long-term HRV analysis, short-term investigations (<30 min) provide a test result almost immediately. Thus, short-term HRV analysis is suitable for ambulatory care, patient monitoring and all those applications where the result is urgently needed. In a previous study, we could show significant variations of 5-min HRV indices according to age in almost all domains (linear and nonlinear) in 1906 healthy subjects from the KORA S4 cohort. Based on the same group of subjects, general gender-related influences on HRV indices are to be determined in this study. Short-term 5-min HRV indices from linear time and frequency domain and from nonlinear methods (compression entropy, detrended fluctuation analysis, traditional and segmented Poincaré plot analysis, irreversibility analysis, symbolic dynamics, correlation and mutual information analysis) were determined from 782 females and 1124 males. First, we examined the gender differences in two age clusters (25-49 years and 50-74 years). Secondly, we investigated the gender-specific development of HRV indices in five age decade categories, namely for ages 25-34, 35-44, 45-54, 55-64 and 65-74 years. In this study, significant modifications of the indices according to gender could be obtained, especially in the frequency domain and correlation analyses. Furthermore, there were significant modifications according to age in nearly all of the domains. The gender differences disappeared within the last two age decades and the age dependencies disappeared in the last decade. To summarize gender and age influences need to be considered when performing HRV studies even if these influences only partly differ.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D004562 Electrocardiography Recording of the moment-to-moment electromotive forces of the HEART as projected onto various sites on the body's surface, delineated as a scalar function of time. The recording is monitored by a tracing on slow moving chart paper or by observing it on a cardioscope, which is a CATHODE RAY TUBE DISPLAY. 12-Lead ECG,12-Lead EKG,12-Lead Electrocardiography,Cardiography,ECG,EKG,Electrocardiogram,Electrocardiograph,12 Lead ECG,12 Lead EKG,12 Lead Electrocardiography,12-Lead ECGs,12-Lead EKGs,12-Lead Electrocardiographies,Cardiographies,ECG, 12-Lead,EKG, 12-Lead,Electrocardiograms,Electrocardiographies, 12-Lead,Electrocardiographs,Electrocardiography, 12-Lead
D005260 Female Females
D006339 Heart Rate The number of times the HEART VENTRICLES contract per unit of time, usually per minute. Cardiac Rate,Chronotropism, Cardiac,Heart Rate Control,Heartbeat,Pulse Rate,Cardiac Chronotropy,Cardiac Chronotropism,Cardiac Rates,Chronotropy, Cardiac,Control, Heart Rate,Heart Rates,Heartbeats,Pulse Rates,Rate Control, Heart,Rate, Cardiac,Rate, Heart,Rate, Pulse
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm

Related Publications

Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
July 1997, Acta physiologica Scandinavica,
Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
August 1994, Clinical science (London, England : 1979),
Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
April 2011, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme,
Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
July 2013, Anaesthesia,
Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
January 2015, Polish journal of veterinary sciences,
Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
December 2015, Applied psychophysiology and biofeedback,
Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
January 2023, Frontiers in neuroscience,
Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
January 2007, Arquivos brasileiros de oftalmologia,
Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
January 2006, Psychosomatic medicine,
Andreas Voss, and Rico Schroeder, and Andreas Heitmann, and Annette Peters, and Siegfried Perz
April 2001, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas,
Copied contents to your clipboard!