Effects of stress on heart rate complexity--a comparison between short-term and chronic stress

Protective effect of metoprolol on arrhythmia and heart rate variability in healthy people with 24 hours of sleep deprivation

PURPOSE

Sleep deprivation, which is a strong stressor, can greatly affect the cardiovascular system of rescue workers. This study aimed to investigate the effect of 24-h sleep deprivation on heart rate variability (HRV) in young healthy people and the protective effect of metoprolol on arrhythmia.

METHODS

Sixty young, healthy subjects (6 women and 54 men), aged 25 ± 4.5 years, were enrolled in this study. All participants received 24-h continuous ambulatory electrocardiogram monitoring. Arrhythmia, time, and frequency domain parameters were analyzed in subjects at the following three stages: normal sleep stage, sleep deprivation stage, and metoprolol treatment before sleep deprivation stage.

RESULTS

After 24-h sleep deprivation, the high frequency (HF) of HRV was significantly decreased (p < 0.05), low frequency (LF) was remarkably increased (p < 0.05), and LF/HF was significantly increased compared with those in normal sleep (p < 0.05). Some subjects presented with mild palpitation due to premature atrial complexes and premature ventricular complexes. At the metoprolol treatment stage, compared with the sleep deprivation stage, LF and LF/HF were significantly reduced, HF of HRV was elevated (p < 0.05), and the total amount of premature atrial and ventricular complexes was decreased.

CONCLUSION

The underlying mechanism of arrhythmia and HRV alteration after 24-h sleep deprivation could be attributable to lower vagal activity and elevated sympathetic activity. Metoprolol improves the change in autonomic nervous system activity after 24-h sleep deprivation, which may be responsible for its protective role on arrhythmia in healthy subjects undergoing sleep deprivation.

Lower heart rate variability associated with military sexual trauma rape and posttraumatic stress disorder

Low heart rate variability (HRV) can occur with psychological disorders such as posttraumatic stress disorder (PTSD). The purpose of this study was to examine the association between PTSD by trauma type and decreased HRV measures in female veterans with cardiac symptoms. This secondary analysis utilized data from a previous study of female veterans (n = 125) examined for cardiac symptoms by Holter and electrocardiogram recordings at a Veterans Affairs medical center. The mean HRV measure from three 10-s data segments with spontaneous respirations was obtained for each subject. PTSD diagnosis and type of trauma exposure were collected from mental health consult notes. Chi-square was used for frequency of subject characteristics; independent t tests and one-way analysis of variance (ANOVA) compared means of HRV measures between trauma types. Statistical significance was set at p < .05 a priori. By ANOVA, significantly lower log-transformed standard deviation of all normal sinus rhythm R-R intervals (SDNN) and log-transformed square root of the mean of the sum of the squares of differences between adjacent normal sinus rhythm R-R intervals (RMSSD) were found in the PTSD group with documented rape military sexual trauma (MST) compared to other groups including no PTSD, PTSD following MST with rape not specified, combat exposure, and nonmilitary-related trauma; lower HRV measures were not found with other PTSD types of trauma. This study suggests rape MST with concomitant PTSD may be a risk factor for decreased HRV in female veterans examined for cardiac symptoms.

Towards mental stress detection using wearable physiological sensors

Early mental stress detection can prevent many stress related health problems. This study aimed at using a wearable sensor system to measure physiological signals and detect mental stress. Three different stress conditions were presented to a healthy subject group. During the procedure, ECG, respiration, skin conductance, and EMG of the trapezius muscles were recorded. In total, 19 physiological features were calculated from these signals. After normalization of the feature values and analysis of correlations among these features, a subset of 9 features was selected for further analysis. Principal component analysis reduced these 9 features to 7 principal components (PCs). Using these PCs and different classifiers, a consistent classification accuracy between stress and non stress conditions of almost 80% was found. This suggests that a promising feature subset was found for future development of a personalized stress monitor.

Dynamics and association of different acute stress markers with performance during a simulated resuscitation

AIM

Whether mental stress negatively impacts team performance during cardio-pulmonary resuscitation (CPR) remains controversial; this may partly be explained by differences in stress measures used in previous studies. Our aim was to compare self-reported, biochemical and physiological stress measures in regard to CPR performance.

METHODS

This prospective, observational study was conducted at the simulator center of the University Hospital Basel, Switzerland. Self-reported (feeling stressed and overwhelmed [stress/overload]), biochemical (plasma cortisol) and physiological (heart rate, heart rate variability) stress measures were assessed in 28 residents (teams of 2) before, during and after resuscitation. Team performance was defined as time to start CPR and hands-on time during the first 180 s.

RESULTS

At baseline, significant negative correlations of heart rate variability with stress/overload and heart rate, as well as positive correlations of heart rate and cortisol were found. During resuscitation, self-reported, biochemical and physiological stress measures did not correlate significantly. There was no association of baseline stress measures with performance. During CPR, stress/overload was significantly associated with time to start CPR (regression coefficient 12.01 (95% CI 0.65, 23.36), p=0.04), while heart rate was negatively associated with time to start CPR (regression coefficient -0.78 (95% CI -1.44, -0.11), p=0.027) and positively with hands-on time (regression coefficient 2.22 (95% CI 0.53, 3.92), p=0.015).

CONCLUSIONS

Self-reported stress (stress/overload) was the only predictor for low CPR performance. Biochemical measures showed no association, and physiological measures (heart rate) showed an inverse association, which may be due to physical activity, limiting its value as a mental stress marker in this acute setting.

Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination

Background

This study investigates the variations of Heart Rate Variability (HRV) due to a real-life stressor and proposes a classifier based on nonlinear features of HRV for automatic stress detection.

Methods

42 students volunteered to participate to the study about HRV and stress. For each student, two recordings were performed: one during an on-going university examination, assumed as a real-life stressor, and one after holidays. Nonlinear analysis of HRV was performed by using Poincaré Plot, Approximate Entropy, Correlation dimension, Detrended Fluctuation Analysis, Recurrence Plot. For statistical comparison, we adopted the Wilcoxon Signed Rank test and for development of a classifier we adopted the Linear Discriminant Analysis (LDA).

Results

Almost all HRV features measuring heart rate complexity were significantly decreased in the stress session. LDA generated a simple classifier based on the two Poincaré Plot parameters and Approximate Entropy, which enables stress detection with a total classification accuracy, a sensitivity and a specificity rate of 90%, 86%, and 95% respectively.

Conclusions

The results of the current study suggest that nonlinear HRV analysis using short term ECG recording could be effective in automatically detecting real-life stress condition, such as a university examination.

Changes in heart rate variability associated with acute alcohol consumption: current knowledge and implications for practice and research

Alcohol consumption is associated with a broad array of physiologic and behavioral effects including changes in heart rate. However, the physiologic mechanisms of alcohol effects and the reasons for individual differences in the cardiac response remain unknown. Measuring changes in resting heart rate (measured as beats/min) has not been found to be as sensitive to alcohol's effects as changes in heart rate variability (HRV). HRV is defined as fluctuations in interbeat interval length which reflect the heart's response to extracardiac factors that affect heart rate. HRV allows simultaneous assessment of both sympathetic and parasympathetic activity and the interplay between them. Increased HRV has been associated with exercise and aerobic fitness, while decreased HRV has been associated with aging, chronic stress, and a wide variety of medical and psychiatric disorders. Decreased HRV has predictive value for mortality in general population samples and patients with myocardial infarction and used as an indicator of altered autonomic function. A significant inverse correlation was found between HRV and both the severity of depression and the duration of the depressive episode. HRV analysis provides insights into mechanisms of autonomic regulation and is extensively used to clarify relationships between depression and cardiovascular disease. This article will review the methodology of HRV measurements and contemporary knowledge about effects of acute alcohol consumption on HRV. Potential implications of this research include HRV response to alcohol that could serve as a marker for susceptibility to alcoholism. At present however there is almost no research data supporting this hypothesis.

Relationship between malocclusion and heart rate variability indices in young adults: a pilot study

OBJECTIVES

Heart rate variability (HRV) has been used to assess sympathetic and parasympathetic modulation of heart rate. Chronic stress relates to reduced HRV. Malocclusion has effects on quality of life, which can lead to chronic stress. Therefore, we hypothesized that malocclusion, as chronic stress, may contribute to reduced HRV. The aim of this study was to investigate the relationship between malocclusion and HRV indices in healthy young adults.

METHODS

Thirty-seven non-smoking healthy subjects, aged 22 to 25 years, were examined. Malocclusion was defined by Angle classification. HRV indices included root mean square of successive differences, low frequency (LF), high frequency (HF) and ratio of LF to HF. The effects of malocclusion on quality of life and mental health were assessed using self-reported questionnaires, the condition-specific Oral Impacts on Daily Performances index (CS-OIDP) and the Hopkins Symptoms Checklist (HSCL), respectively.

RESULTS

Significantly lower score of HF and higher heart rate (HR) level and CS-OIDP score were observed in subjects with malocclusion (n = 17) compared to those in the control subjects (n = 20) ( P <0.05). There was a positive correlation between HR and score of "anxiety" in HSCL ( P <0.05).

CONCLUSIONS

The data showed an association between malocclusion and lower HRV. Based on our results, orthodontic treatment might contribute not only to improvement of oral esthetic and functional problems but also to improvement of stress and HRV indices.

Heart rate variability and urinary catecholamines from job stress in korean male manufacturing workers according to work seniority

The aim of this study was to evaluate the relationships between job stress and indicators of autonomic nervous system activity in employees of the manufacturing industry. A total of 140 employees from a company that manufactures consumer goods (i.e., diapers and paper towels) were recruited for participation in this study. Job stress was assessed using Karasek's Job Content Questionnaire. Heart rate variability (HRV) was measured using a heart rate monitor, and urinary catecholamines were measured by an HPLC-ECD. Information on demographic characteristics, previous job history, smoking status and alcohol consumption was also collected. Job stress did not have a significant effect on HRV or catecholamines. However, low-frequency HRV was significantly higher in the high-strain group of subjects with a short duration of employment. Low- and high-frequency HRV were higher in the high-strain group than in the low-strain group, but these differences were not statistically significant. The results of the present study indicate that low-frequency HRV was significantly higher in the high-strain group of subjects with a short duration of employment. In addition, the results of this study show that HRV can be used as a potential physiologic indicator of job stress in employees with a short duration of employment.