Effects of depression on heart rate variability in elderly patients with stable coronary artery disease

Luo, Ying; Zhang, Shaomin; Zheng, Rongrong; Xu, Lian; Wu, Jiarui

doi:10.1111/jebm.12310

Cited by 25 publications

(16 citation statements)

References 19 publications

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“…Depression is an emotional disturbance that leads to a deterioration of the abilities and activities of daily living; it is a public health problem ranked among the diseases that weigh most on individuals, families, and society 1 . In addition, depression is linked to many negative consequences, including an increase in morbidity and mortality attributable to health problems and a decrease in the quality of life 2‐4 …”

Section: Introductionmentioning

confidence: 99%

Factors associated with depression among the Lebanese population: Results of a cross‐sectional study

Obeïd

Lahoud

Haddad

et al. 2020

Perspect Psychiatr Care

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Objective: The aim of this study was to assess factors associated with depression in a representative sample of the Lebanese population. Design/Methods: A cross-sectional study, conducted between November 2017 and March 2018, enrolled 789 participants. Depression was measured using the Arabic version of the Hamilton Depression Scale. Results: The participants' mean age was 30.30 ± 12.52 years (54.8% males). More than half of the participants had depressive symptoms (59.7%). Anxiety (β = .457), alcohol dependence (β = .290), suicidal ideation (β = 1.427), high socioeconomic status (β = 1.910), being widowed (β = 4.564), and physical work fatigue (β = .090) were significantly associated with higher depression. Higher social emotional awareness was significantly associated with lower depression (β = −.176).

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Section: Introductionmentioning

confidence: 99%

Factors associated with depression among the Lebanese population: Results of a cross‐sectional study

Obeïd

Lahoud

Haddad

et al. 2020

Perspect Psychiatr Care

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“…We identified a total of 6750 articles through database searches. After reviewing titles, abstracts and full texts, and excluding duplicates and ineligible studies, 22 articles23–44 remained for analysis, representing 6344 participants. Thirteen studies23 28 31 32 34–39 42–44 were approved by the ethics committees of their institutions.…”

Section: Resultsmentioning

confidence: 99%

Meta-analysis on inflammation and autonomic nervous system of coronary heart disease combined with depression

Li,

Zhang,

Liu

2024

BMJ Open

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ObjectivesThis meta-analysis aimed to explore the association between inflammatory factors, heart rate variability (HRV) and the coexistence of coronary heart disease (CHD) and depression.DesignSystematic review and meta-analysis. Complying with the Meta-analysis Of Observational Studies in Epidemiology statement.Data sourcesWe searched PubMed, Web of Science and EMBASE for the data from the inception date to 16 March 2023.Eligibility criteriaWe included cross-sectional and cohort studies with inclusion criteria: (1) patients with CHD; (2) depression measurement and (3) including inflammatory factors or cardiac biomarkers or HRV.Data extraction and synthesisTwo authors searched the databases independently. The effect estimates and heterogeneity were synthesised by Review Manager V.5.3. Sensitivity analysis and publication bias were analysed by STATA software. The quantitative synthesis outcomes were presented by mean difference (MD) or standard MD (SMD) with 95% CI.ResultsBy searching the databases, we identified a total of 6750 articles. There were 22 articles left after selection, including 6344 participants. This meta-analysis indicated that patients with CHD with depression had higher levels of C reaction protein (CRP) (SMD 0.50, 95% CI (0.19 to 0.81), p=0.001), high-sensitivity C reactive protein (hs-CRP) (SMD 0.28, 95% CI (0.07 to 0.48), p=0.008), IL-6 (SMD 0.49, 95% CI (0.05 to 0.92), p=0.03) and a lower level of the mean RR interval and the SD of all RR intervals (SMD −0.64, 95% CI (−1.11 to –0.17), p=0.008), SD of the 5 min averages of all normal RR intervals (MD −12.77 ms, 95% CI (–21.20 to –4.33), p=0.003), overage of the SD of all normal RR intervals for each 5 min segment (MD −13.83 ms, 95% CI (–15.94 to –11.72), p<0.00001), root mean square of successive differences (MD: −8.02 ms, 95% CI (–13.62 to –2.43), p=0.005), proportion of adjacent cycles differing by >50 ms (pNN50) (SMD −0.86, 95% CI (−1.41 to –0.31), p=0.002), than those without depression.ConclusionsThis study underscores the association between elevated CRP, hs-CRP, IL-6 and lower HRV in patients with CHD with depression. It emphasises the importance of clinicians assessing CRP, hs-CRP, IL-6 and HRV in patients with CHD to potentially identify depressive conditions.

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“…Because depression can be long-lasting or recurrent and lead to suicide ( Stringaris, 2017 ; Liu et al, 2020 ), the World Health Organization (WHO) ranks it as a major contributor to the global burden of disease ( Bhatti et al, 2016 ). In addition, patients with major depressive disorder have increased risks of developing cardiovascular disease and increased morbidity and mortality ( Seligman and Nemeroff, 2015 ; Luo et al, 2018 ). Although depression incurs huge psychological and physical harm to human beings, people who are depressed are often not accurately identified and treated.…”

Section: Introductionmentioning

confidence: 99%

Research on the Method of Depression Detection by Single-Channel Electroencephalography Sensor

Lei

Guo

et al. 2022

Front. Psychol.

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Depression is a common mental health illness worldwide that affects our quality of life and ability to work. Although prior research has used EEG signals to increase the accuracy to identify depression, the rates of underdiagnosis remain high, and novel methods are required to identify depression. In this study, we built a model based on single-channel, dry-electrode EEG sensor technology to detect state depression, which measures the intensity of depressive feelings and cognitions at a particular time. To test the accuracy of our model, we compared the results of our model with other commonly used methods for depression diagnosis, including the PHQ-9, Hamilton Depression Rating Scale (HAM-D), and House-Tree-Person (HTP) drawing test, in three different studies. In study 1, we compared the results of our model with PHQ-9 in a sample of 158 senior high students. The results showed that the consistency rate of the two methods was 61.4%. In study 2, the results of our model were compared with HAM-D among 71 adults. We found that the consistency rate of state-depression identification by the two methods was 63.38% when a HAM-D score above 7 was considered depression, while the consistency rate increased to 83.10% when subjects showed at least one depressive symptom (including depressed mood, guilt, suicide, lack of interest, retardation). In study 3, 68 adults participated in the study, and the results revealed that the consistency rate of our model and HTP drawing test was 91.2%. The results showed that our model is an effective means to identify state depression. Our study demonstrates that using our model, people with state depression could be identified in a timely manner and receive interventions or treatments, which may be helpful for the early detection of depression.

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Effects of depression on heart rate variability in elderly patients with stable coronary artery disease

Abstract: Depression is an important risk factor for heart rate variability in elderly patients with CAD. Clinicians should pay attention for evaluation of depressive patients with CAD.

Cited by 25 publications

References 19 publications

Factors associated with depression among the Lebanese population: Results of a cross‐sectional study

Factors associated with depression among the Lebanese population: Results of a cross‐sectional study

Meta-analysis on inflammation and autonomic nervous system of coronary heart disease combined with depression

Research on the Method of Depression Detection by Single-Channel Electroencephalography Sensor

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