Influence of Heart Rate, Age, and Gender on Heart Rate Variability in Adolescents and Young Adults

Author(s):  
Mario Estévez-Báez ◽  
Claudia Carricarte-Naranjo ◽  
Javier Denis Jas-García ◽  
Evelyn Rodríguez-Ríos ◽  
Calixto Machado ◽  
...  
2015 ◽  
Vol 30 (3) ◽  
pp. 260-271
Author(s):  
Michiel A. van Zyl ◽  
Christina Studts ◽  
Kathryn Pahl

Pain ◽  
2017 ◽  
Vol 158 (8) ◽  
pp. 1509-1516 ◽  
Author(s):  
Lynn S. Walker ◽  
Amanda L. Stone ◽  
Craig A. Smith ◽  
Stephen Bruehl ◽  
Judy Garber ◽  
...  

2013 ◽  
Vol 45 (2) ◽  
pp. 277-284 ◽  
Author(s):  
Christoph Randler ◽  
Christian Vollmer ◽  
Şenol Beşoluk ◽  
İsmail Önder ◽  
Mehmet Barış Horzum

Author(s):  
Aimée R. Caillet ◽  
Alexandra C. Russell ◽  
Marcus G. Wild ◽  
Sari Acra ◽  
Leonard A. Bradshaw ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259385
Author(s):  
Mallory R. Taylor ◽  
Michelle M. Garrison ◽  
Abby R. Rosenberg

Background Heart Rate Variability (HRV) is a valid, scalable biomarker of stress. We aimed to examine associations between HRV and psychosocial outcomes in adolescents and young adults (AYAs) with cancer. Methods This was a secondary analysis of baseline data from a randomized trial testing a resilience intervention in AYAs with cancer. Two widely used HRV metrics, the standard deviation of normal to normal beats (SDNN) and root mean square of successive differences (RMSSD), were derived from electrocardiograms. Patient-reported outcome (PRO) survey measures included quality of life, anxiety, depression, distress, and resilience. Linear regression models were used to test associations between HRV and PRO scores. The Wilcoxon rank sum test was used to test differences in median HRV values among participant subgroups. Results Among the n = 76 patients with available electrocardiograms, the mean age was 16 years (SD 3y), 63% were white, and leukemia/lymphoma was the most common diagnosis. Compared to healthy adolescents, AYAs with cancer had lower median HRV (SDNN [Females: 31.9 (12.8–50.7) vs 66.4 (46.0–86.8), p<0.01; Males: 29.9 (11.5–47.9) vs 63.2 (48.4–84.6), p<0.01]; RMSSD [Females: 28.2 (11.1–45.5) vs 69.0 (49.1–99.6), p<0.01; Males: 27.9 (8.6–48.6) vs 58.7 (44.8–88.2), p<0.01]). There was no statistically significant association between PRO measures and SDNN or RMSSD in either an unadjusted or adjusted linear regression models. Conclusion In this secondary analysis, we did not find an association between HRV and psychosocial PROs among AYAs with cancer. HRV measures were lower than for healthy adolescents. Larger prospective studies in AYA biopsychosocial research are needed.


1998 ◽  
Vol 84 (2) ◽  
pp. 576-583 ◽  
Author(s):  
Tomi Laitinen ◽  
Juha Hartikainen ◽  
Esko Vanninen ◽  
Leo Niskanen ◽  
Ghislaine Geelen ◽  
...  

Laitinen, Tomi, Juha Hartikainen, Esko Vanninen, Leo Niskanen, Ghislaine Geelen, and Esko Länsimies. Age and gender dependency of baroreflex sensitivity in healthy subjects. J. Appl. Physiol. 84(2): 576–583, 1998.—We evaluated the correlates of baroreflex sensitivity (BRS) in healthy subjects. The study consisted of 117 healthy, normal-weight, nonsmoking male and female subjects aged 23–77 yr. Baroreflex control of heart rate was measured by using the phenylephrine bolus-injection technique. Frequency- and time-domain analysis of heart rate variability and an exercise test were performed. Plasma norepinephrine, epinephrine, insulin, and arginine vasopressin concentrations and plasma renin activity were measured. In the univariate analysis, BRS correlated with age ( r = −0.65, P < 0.001), diastolic blood pressure ( r = −0.47, P < 0.001), exercise capacity ( r = 0.60, P < 0.001), and the high-frequency component of heart rate variability ( r= 0.64, P < 0.001). There was also a significant correlation between BRS and plasma norepinephrine concentration ( r = −0.22, P < 0.05) and plasma renin activity ( r = 0.32, P < 0.001). According to the multivariate analysis, age and gender were the most important physiological correlates of BRS. They accounted for 52% of interindividual BRS variation. In addition, diastolic blood pressure and high-frequency component of heart rate variability were significant independent correlates of BRS. BRS was significantly higher in men than in women (15.0 ± 1.2 vs. 10.2 ± 1.1 ms/mmHg, respectively; P < 0.01). Twenty-four percent of women >40 yr old and 18% of men >60 yr old had markedly depressed BRS (<3 ms/mmHg). We conclude that physiological factors, particularly age and gender, have significant impact on BRS in healthy subjects. In addition, we demonstrate that BRS values that have been proposed to be useful in identifying postinfarction patients at high risk of sudden death are frequently found in healthy subjects.


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