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Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students

There have been numerous studies on the relationship between sleep and depression, as well as the relationship between sleep and depression, and heart rate variability (HRV), respectively. Even so, few studies have combined 24-h HRV analysis to study sleep quality and depressive symptoms. The purpos...

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Autores principales: Guo, Xiansheng, Su, Tiehong, Xiao, Haoran, Xiao, Rong, Xiao, Zhongju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763843/
https://www.ncbi.nlm.nih.gov/pubmed/35058822
http://dx.doi.org/10.3389/fpsyt.2021.781673
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author Guo, Xiansheng
Su, Tiehong
Xiao, Haoran
Xiao, Rong
Xiao, Zhongju
author_facet Guo, Xiansheng
Su, Tiehong
Xiao, Haoran
Xiao, Rong
Xiao, Zhongju
author_sort Guo, Xiansheng
collection PubMed
description There have been numerous studies on the relationship between sleep and depression, as well as the relationship between sleep and depression, and heart rate variability (HRV), respectively. Even so, few studies have combined 24-h HRV analysis to study sleep quality and depressive symptoms. The purpose of this cross-sectional study was to investigate the relationship between depressed symptoms, sleep quality, and 24-h HRV in medical students. The particiants were all students at a medical university in Guangdong province, China. A total of 74 college students participated. They were asked to complete a questionnaire that included the Pittsburgh Sleep Quality Index (PSQI), the Beck Depression Inventory-II (BDI-II), the Positive and Negative Affect Scale (PANAS), and 24-h ECG monitoring. The results showed that 41.7% of the medical students had poor sleep quality, with higher levels of depressive symptoms and more negative emotions, and there was no difference in 24-h HRV indices between the low PSQI group and the high one. Correlation analysis showed that there was a significant relationship between sleep quality and depressive symptoms (r = 0.617), but the relationship between 24-h HRV indices and PSQI global scores, BDI scores were not significant. However, the correlation analysis of PSQI components and 24-h HRV showed that sleep disturbance was significantly negatively correlated with SDNN and LF in waking period (r = −0.285, −0.235), and with SDNN in sleeping period (r = −0.317). In general, the sleep disturbance in PSQI components can sensitively reflect the relationship between sleep quality and 24-h HRV of medical students. Individuals with higher sleep disturance may have lower SDNN during awake period and bedtime period, and lower LF in awake period. Twenty-four hour HRV has certain application value in clinical sleep quality monitoring, and its sensitivity and specificity in clinical application and daily life are still worth further investigation.
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spelling pubmed-87638432022-01-19 Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students Guo, Xiansheng Su, Tiehong Xiao, Haoran Xiao, Rong Xiao, Zhongju Front Psychiatry Psychiatry There have been numerous studies on the relationship between sleep and depression, as well as the relationship between sleep and depression, and heart rate variability (HRV), respectively. Even so, few studies have combined 24-h HRV analysis to study sleep quality and depressive symptoms. The purpose of this cross-sectional study was to investigate the relationship between depressed symptoms, sleep quality, and 24-h HRV in medical students. The particiants were all students at a medical university in Guangdong province, China. A total of 74 college students participated. They were asked to complete a questionnaire that included the Pittsburgh Sleep Quality Index (PSQI), the Beck Depression Inventory-II (BDI-II), the Positive and Negative Affect Scale (PANAS), and 24-h ECG monitoring. The results showed that 41.7% of the medical students had poor sleep quality, with higher levels of depressive symptoms and more negative emotions, and there was no difference in 24-h HRV indices between the low PSQI group and the high one. Correlation analysis showed that there was a significant relationship between sleep quality and depressive symptoms (r = 0.617), but the relationship between 24-h HRV indices and PSQI global scores, BDI scores were not significant. However, the correlation analysis of PSQI components and 24-h HRV showed that sleep disturbance was significantly negatively correlated with SDNN and LF in waking period (r = −0.285, −0.235), and with SDNN in sleeping period (r = −0.317). In general, the sleep disturbance in PSQI components can sensitively reflect the relationship between sleep quality and 24-h HRV of medical students. Individuals with higher sleep disturance may have lower SDNN during awake period and bedtime period, and lower LF in awake period. Twenty-four hour HRV has certain application value in clinical sleep quality monitoring, and its sensitivity and specificity in clinical application and daily life are still worth further investigation. Frontiers Media S.A. 2022-01-04 /pmc/articles/PMC8763843/ /pubmed/35058822 http://dx.doi.org/10.3389/fpsyt.2021.781673 Text en Copyright © 2022 Guo, Su, Xiao, Xiao and Xiao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Guo, Xiansheng
Su, Tiehong
Xiao, Haoran
Xiao, Rong
Xiao, Zhongju
Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students
title Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students
title_full Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students
title_fullStr Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students
title_full_unstemmed Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students
title_short Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students
title_sort using 24-h heart rate variability to investigate the sleep quality and depression symptoms of medical students
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763843/
https://www.ncbi.nlm.nih.gov/pubmed/35058822
http://dx.doi.org/10.3389/fpsyt.2021.781673
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