INTRODUCTION: The elderly population grows globally every day, and along with it the incidence of high blood pressure also grows, following these data scientists seek tools to improve the health of this population, a widely used tool for assessing cardiovascular function is the heart rate variability(HRV), that is a mecanism that allows the investigation of oscillations in the intervals between consecutive heart beats (RR intervals). There are already studies on the autonomic nervous system in the elderly population, however, these studies investigated normotensive patients and there is little research in hypertensive patients. AIM: To compare the cardiac autonomic modulation between healthy elderly and hypertensive elderly. METHOD: The total sample was 80 elderly people- 40 healthy elderly and 40 elderly (HBP). Anthropometric data, HRV analysis and IPAQ questionnaire were collected. For the analysis of cardiac modulation data in the time domain (pNN50, SDNN and RMSSD) and frequency domain (LF and HF). The geometric analysis (RRtri, TINN, SD1, SD2 and SD1/SD2 ratios). RESULTS: In the time domain the MeanRR index presented a HAS increase 832.35 ± 104.46 ms vs control 782.73 ± 112.78 ms (p = 0.040). In the SDNN, there was a 58.35ms decrease vs the SAH 43.15 ms (p = 0.030). In the frequency domain, HF decreased control 247.00 ms2 vs HAS 157.00 ms2 (p = 0.002). In the geometric, the TINN and SD2 in the HAS group decreased in relation to the control from 203.38 ± 80.26 ms to 161.83 ± 53.25 ms (p = 0.018) and from 71.95 ms to 59.40 ms (p = 0.051). The mean SD1/SD2 ratio showed an increase between the Control and SAH groups from 0.22 ± 0.10 to 4.09 ± 1.18 and there was a statistical difference (p = 0.001). CONCLUSION: Hypertensive elderly patients present decreased heart rate variability and decreased parasympathetic modulation when compared to normotensive elderly.
INTRODUCTION: The elderly population grows globally every day, and along with it the incidence of high blood pressure also grows, following these data scientists seek tools to improve the health of this population, a widely used tool for assessing cardiovascular function is the heart rate variability(HRV), that is a mecanism that allows the investigation of oscillations in the intervals between consecutive heart beats (RR intervals). There are already studies on the autonomic nervous system in the elderly population, however, these studies investigated normotensive patients and there is little research in hypertensivepatients. AIM: To compare the cardiac autonomic modulation between healthy elderly and hypertensive elderly. METHOD: The total sample was 80 elderly people- 40 healthy elderly and 40 elderly (HBP). Anthropometric data, HRV analysis and IPAQ questionnaire were collected. For the analysis of cardiac modulation data in the time domain (pNN50, SDNN and RMSSD) and frequency domain (LF and HF). The geometric analysis (RRtri, TINN, SD1, SD2 and SD1/SD2 ratios). RESULTS: In the time domain the MeanRR index presented a HAS increase 832.35 ± 104.46 ms vs control 782.73 ± 112.78 ms (p = 0.040). In the SDNN, there was a 58.35ms decrease vs the SAH 43.15 ms (p = 0.030). In the frequency domain, HF decreased control 247.00 ms2 vs HAS 157.00 ms2 (p = 0.002). In the geometric, the TINN and SD2 in the HAS group decreased in relation to the control from 203.38 ± 80.26 ms to 161.83 ± 53.25 ms (p = 0.018) and from 71.95 ms to 59.40 ms (p = 0.051). The mean SD1/SD2 ratio showed an increase between the Control and SAH groups from 0.22 ± 0.10 to 4.09 ± 1.18 and there was a statistical difference (p = 0.001). CONCLUSION:Hypertensive elderly patients present decreased heart rate variability and decreased parasympathetic modulation when compared to normotensive elderly.
Authors: Mauro J D Morais; Rodrigo D Raimundo; Fabiano S Oliveira; Luiz C de Abreu; Italla M P Bezerra; Romeu P M Silva; Alliny S Rodrigues; Vitor E Valenti; Andrés R Pérez-Riera Journal: Medicine (Baltimore) Date: 2019-06 Impact factor: 1.817
Authors: Lina T Al Kury; Stephanie Chacar; Eman Alefishat; Ali A Khraibi; Moni Nader Journal: Front Endocrinol (Lausanne) Date: 2022-07-07 Impact factor: 6.055
Authors: Letícia Santana de Oliveira; Anne Michelli G G Fontes; Ana Laura Ricci Vitor; Franciele M Vanderlei; David M Garner; Vitor E Valenti Journal: Sci Rep Date: 2020-01-22 Impact factor: 4.379
Authors: Glaucylara Reis Geovanini; Enio Rodrigues Vasques; Rafael de Oliveira Alvim; José Geraldo Mill; Rodrigo Varejão Andreão; Bruna Kim Vasques; Alexandre Costa Pereira; Jose Eduardo Krieger Journal: Glob Heart Date: 2020-10-21
Authors: Valentin Brusseau; Igor Tauveron; Reza Bagheri; Ukadike Chris Ugbolue; Valentin Magnon; Jean-Baptiste Bouillon-Minois; Valentin Navel; Frédéric Dutheil Journal: Int J Environ Res Public Health Date: 2022-03-18 Impact factor: 3.390