The effect of preoperative depression and anxiety on heart rate variability in women with breast cancer

Breast Cancer ◽  
2020 ◽  
Vol 27 (5) ◽  
pp. 912-918
Author(s):  
Arash Farbood ◽  
Mohammad Ali Sahmeddini ◽  
Shiva Bayat ◽  
Nazanin Karami
Keyword(s):  
Breast Cancer ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Depression And Anxiety

scholarly journals Stress Markers for Mental States and Biotypes of Depression and Anxiety: A Scoping Review and Preliminary Illustrative Analysis

2021 ◽  
Vol 5 ◽  
pp. 247054702110003
Author(s):  
Megan Chesnut ◽  
Sahar Harati ◽  
Pablo Paredes ◽  
Yasser Khan ◽  
Amir Foudeh ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Skin Conductance ◽  
Neural Circuit ◽  
Current Knowledge ◽  
Mental States ◽  
Classification Model ◽  
Depression And Anxiety ◽  
Stress Markers ◽  
Physiological Markers

Depression and anxiety disrupt daily function and their effects can be long-lasting and devastating, yet there are no established physiological indicators that can be used to predict onset, diagnose, or target treatments. In this review, we conceptualize depression and anxiety as maladaptive responses to repetitive stress. We provide an overview of the role of chronic stress in depression and anxiety and a review of current knowledge on objective stress indicators of depression and anxiety. We focused on cortisol, heart rate variability and skin conductance that have been well studied in depression and anxiety and implicated in clinical emotional states. A targeted PubMed search was undertaken prioritizing meta-analyses that have linked depression and anxiety to cortisol, heart rate variability and skin conductance. Consistent findings include reduced heart rate variability across depression and anxiety, reduced tonic and phasic skin conductance in depression, and elevated cortisol at different times of day and across the day in depression. We then provide a brief overview of neural circuit disruptions that characterize particular types of depression and anxiety. We also include an illustrative analysis using predictive models to determine how stress markers contribute to specific subgroups of symptoms and how neural circuits add meaningfully to this prediction. For this, we implemented a tree-based multi-class classification model with physiological markers of heart rate variability as predictors and four symptom subtypes, including normative mood, as target variables. We achieved 40% accuracy on the validation set. We then added the neural circuit measures into our predictor set to identify the combination of neural circuit dysfunctions and physiological markers that accurately predict each symptom subtype. Achieving 54% accuracy suggested a strong relationship between those neural-physiological predictors and the mental states that characterize each subtype. Further work to elucidate the complex relationships between physiological markers, neural circuit dysfunction and resulting symptoms would advance our understanding of the pathophysiological pathways underlying depression and anxiety.

Abstract 13500: Association Between Breast Cancer and Cardiac Autonomic Function as Measured by Heart Rate Variability in the Women’s Health Initiative

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Mary Branch ◽  
Christopher L Schaich ◽  
Daniel Beavers ◽  
Elsayed Z Soliman ◽  
Kerryn Reding ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Women's Health ◽  
Rr Intervals ◽  
Women's Health Initiative ◽  
Women’S Health Initiative ◽  
Health Initiative ◽  
Incident Breast Cancer ◽  
The Women’S Health Initiative

Background: Autonomic dysfunction (AD) as measured by heart rate variability (HRV) is associated with increased risk of cardiovascular disease (CVD) and breast cancer. No study has utilized a large prospective multi-center cohort of diverse women to assess differences in HRV associated with incident breast cancer. Objectives: To identify heart rate variability changes in women with breast cancer compared to controls in the Women’s Health Initiative (WHI). Methods: In a retrospective cohort study, we utilized 5,031 women in the WHI CT cohort who were breast cancer free at baseline and compared 1) those with incident breast cancer v. 2) those who were breast cancer free during the ECG follow-up period as controls. HRV was calculated utilizing 10-second ECG with two measures of two-domain HRV: standard deviation of all normal-to-normal RR intervals (SDNN) and the root mean square of successive differences in normal-to-normal RR intervals (rMSSD). HRV was measured from ECGs collected at baseline, years 3, 6, and 9 in the comparison groups. An adjusted mixed linear model was used to evaluate the differences in SDNN and rMSSD comparing women with incident breast cancer to controls. Cardiovascular risk factors utilized in the adjusted model were determined via questionnaire at baseline. Results: At baseline, women with incident breast cancer diagnosed by years 3, 6, or 9 were significantly older (median age 63 vs. 61, P<0.0001) and had a higher prevalence of hypertension (35% vs. 32%, P=0.02). SDNN at years 3 and 6 in women with breast cancer compared to controls was significantly lower (P=0.0002, P=0.03 respectively). As well, rMSSD was significantly lower at year 3 compared to controls (P<0.0001) ( Figure 1 ). Conclusions: HRV as a measure of AD is significantly lower in women with incident breast cancer compared to women without breast cancer. Reduction in HRV is associated with CVD outcomes in the literature. Our study suggests HRV may predict CVD in breast cancer patients.

scholarly journals Heart rate variability measure in breast cancer patients and survivors: A systematic review

2016 ◽  
Vol 68 ◽  
pp. 57-68 ◽  
Author(s):  
Claudia Arab ◽  
Daniel Penteado Martins Dias ◽  
Renata Thaís de Almeida Barbosa ◽  
Tatiana Dias de Carvalho ◽  
Vitor Engrácia Valenti ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Heart Rate Variability Measure

scholarly journals Features of heart rate variability in breast cancer survivors with various types of attitude to the disease

2018 ◽  
Vol 32 (3) ◽  
pp. 5-9
Author(s):  
Evgen Prystupa ◽  
Tetiana Odynets ◽  
Yuriy Briskin ◽  
Iryna Svistelnyk
Keyword(s):  
Breast Cancer ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cancer Survivors ◽  
Breast Cancer Survivors

Resonance breathing is associated with improvements in depression and anxiety symptoms during heart rate variability biofeedback sessions

2021 ◽  
Author(s):  
Adam Khan Pettitt ◽  
Benjamin W Nelson ◽  
Richard Gevirtz ◽  
Paul Lehrer ◽  
Kristian Ranta ◽  
...  
Keyword(s):  
Mental Health ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Resonance Frequency ◽  
Treatment Protocol ◽  
Anxiety Symptoms ◽  
Adjunctive Treatment ◽  
Depression And Anxiety ◽  
Heart Rate Variability Biofeedback ◽  
Item Scale

Heart rate variability (HRV) appears to be a transdiagnostic biomarker for health and disease. Although initial studies using HRV biofeedback (HRVB) to regulate HRV as a potential adjunctive treatment to gold-standard interventions seem promising, more research is needed to determine which aspects of HRVB training provide the most clinical benefits to those suffering from mental health symptoms. In the current study, we sought to investigate whether time spent in resonance, between-person differences in resonance frequency, and/or within-person resonance frequency trajectory across repeated HRVB sessions were related to changes in depression and/or anxiety symptoms during a 12-week digital mental health intervention that contains HRVB as part of the treatment protocol. We used a retrospective cohort study to examine these associations among 387 participants in the Meru Health Program. For depression, we found that average resonance time per HRVB session, but not total time in resonance, was significantly associated with decreased depression as measured by the Patient Health Questionnaire 9-item scale (PHQ-9) across treatment (b=-0.38, 95% CI [-0.76,-0.01], t(377)=-1.99, p=.047). For anxiety symptoms as measured by the Generalized Anxiety Disorder 7-item scale (GAD-7), we found neither association significant. Within-person effects were significant for both depression and anxiety, with steeper slopes of time spent in resonance significantly related to reductions in PHQ-9 and GAD-7 symptoms, respectively. Between-person effects were not significant for either depression or anxiety. Our results demonstrate that improvements in resonance efficiency over time in treatment, independent of how each participant starts, are related to reductions in depression and anxiety symptoms.

scholarly journals Association between Anxiety Disorders and Heart Rate Variability in The Netherlands Study of Depression and Anxiety (NESDA)

2009 ◽  
Vol 71 (5) ◽  
pp. 508-518 ◽  
Author(s):  
Carmilla M. M. Licht ◽  
Eco J. C. de Geus ◽  
Richard van Dyck ◽  
Brenda W. J. H. Penninx
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
The Netherlands ◽  
Anxiety Disorders ◽  
Depression And Anxiety

scholarly journals Differences in Heart Rate Variability and Body Composition in Breast Cancer Survivors and Women Without Cancer

2021 ◽  
Author(s):  
Daniel Escutia-Reyes ◽  
José Garduño-García ◽  
Gerardo López-Chávez ◽  
Ángel Gómez-Villanueva ◽  
Adriana Pliego-Carrillo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Body Composition ◽  
Cancer Survivors ◽  
Visceral Fat ◽  
Breast Cancer Survivors ◽  
Cardiac Activity ◽  
Poincaré Plot ◽  
Linear And Nonlinear

Abstract Purpose: To explore cardiac autonomic changes assessed by linear and nonlinear indexes of heart rate variability (HRV) and body composition modifications in breast cancer survivors and cancer-free control women. Methods: Women who were breast cancer survivors (BCS, n=27) and cancer-free control participants with similar characteristics (Control, n=31) were enrolled in the Regional General Hospital No. 251 of the Mexican Institute of Social Security (Metepec, Mexico). We processed five minutes of R-R interval time series, and we calculated relevant linear and nonlinear parameters of HRV such as mean RR interval (RRave), the Root Mean Square of the Successive Differences (RMSSD), the Poincaré plot measures SD1, SD2, SD1/SD2, and the sample entropy (SampEn). Additionally, we indirectly assessed body composition measures such as body weight, fat mass, visceral fat rating (VFR), normalized VRF (nVFR), muscle mass, metabolic age, and total body water.Results: We found that diverse HRV indexes and only one body composition measure showed statistical differences (p<0.05) between the BCS and Control groups: RRave: 729 (648–802) vs. 795 (713–852) ms; RMSSD: 16.5 (8.9–27.0) vs. 19.7 (14.2–28.5) ms; SD1: 11.6 (6.3–19.0) vs. 13.9 (10.0–20.1) ms; SD1/SD2: 2.5 (2.1–3.3) vs. 2.2 (1.9–2.7), SampEn: 1.5 (1.3–1.8) vs. 1.7 (1.5–1.8), and nVFR 0.12 (0.11–0.13) vs.0.10 (0.08–0.12) points/kg, respectively. The nVFR was significantly correlated to several indexes of HRV.Conclusions: BCS exhibit a lower parasympathetic cardiac activity and changes in HRV patterns than controls, likely because of the concomitant increase of visceral fat.

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