The Importance of DS-14 and HADS Questionnaires in Quantifying Psychological Stress in Type 2 Diabetes Mellitus

Associations Between Psychological Factors and Adherence to Health Behaviors After Percutaneous Coronary Intervention: The Role of Cardiac Rehabilitation

BACKGROUND

Cardiac rehabilitation (CR) participation after percutaneous coronary intervention (PCI) for coronary heart disease lowers the disease burden and risk of recurrent cardiac events. Examining psychological factors may improve post-PCI health behavior adherence.

PURPOSE

To determine whether psychological factors are associated with post-PCI health behavior adherence, and the role of CR participation.

METHODS

Data from 1,682 patients (22.1% female, Mage = 64.0, SDage = 10.5 years) from the THORESCI cohort were included. Adjusted mixed models were used to examine associations between psychological factors and the 1-year course of health behaviors, using interactions to test for moderation by CR participation.

RESULTS

Psychological factors were associated with the trajectories of adherence to medical advice, exercise, and diet. The strongest association found was between optimism and the trajectory of dietary adherence (B: = -0.09, p = .026). Patients with high optimism levels had a worse trajectory of dietary adherence compared to patients with low to middle optimism levels. Participation in CR buffered the associations of high anxiety, pessimism, and low to middle resilience, but strengthened the associations of high stress in the past year with the probability of smoking.

CONCLUSIONS

Psychological factors are associated with post-PCI health behavior adherence, but the pattern of associations is complex. Patients with high levels of anxiety, pessimism, and low to middle resilience levels may disproportionately benefit from CR. Cardiac rehabilitation programs could consider this to improve post-PCI health behavior adherence.

CLINICAL TRIALS REGISTRATION #

NCT02621216.

Evaluating anxiety in elective coronary angiography study: rationale, design, and study methodology

AIMS

Prevalence of anxiety disorder in coronary artery disease reaches up to 15% and about half of patients with coronary artery disease have anxiety or depression comorbidity. Prevalence of anxiety in patients undergoing percutaneous coronary intervention ranges 24-72%. Depression can often overlap with anxiety symptoms and the evaluation of anxiety in elective coronary angiography study (ANGST) aims to determine the prevalence of anxiety by excluding patients with comorbid depressive symptoms. ANGST also aims to determine how anxiety correlates with psychological parameters (personality traits, coping strategies) and with outcome of elective coronary angiography (ECA).

METHODS

We will conduct a prospective single-center cross-section study in patients undergoing ECA. Anxiety will be evaluated at four time points using self-rating questionnaires: 14 days prior to ECA; 2-4 h before ECA; 24 h after ECA, but prior to discharge; and 4-6 weeks after discharge. The primary outcome of ANGST is the burden of anxiety experienced by patients without depressive symptoms and a correlation of anxiety with ECA outcome.

CONCLUSION

Our study aims to provide evidence on which personality traits and coping strategies affect the levels of anxiety. We will also determine psychometric properties of the two questionnaires used in our study. The results will have implications for improvement of interventions designed to recognize anxiety and will offer future research of psychological and/or pharmacological interventions to reduce the burden of anxiety.

THE EFFECT OF ANXIETY LEVELS OF TYPE 2 DIABETES MELLITUS PATIENTS ON THEIR TREATMENT ADHERENCE IN THE COVID-19 PANDEMIC PERIOD

This study was conducted to investigate the effects of the anxiety levels of Diabetes Mellitus (DM) patients on their treatment adherence in the COVID-19 pandemic period. The sample of this descriptive and cross-sectional study consisted of 313 DM patients who presented to the internal medicine outpatient clinic between 01.01.2021 and 01.02.2021. The data were collected using a Personal Information Form, the Coronavirus Anxiety Scale (CAS), and the Morisky Medication Adherence Scale (MMAS-8). Descriptive statistics, Mann-Whitney U test, Kruskal-Wallis test and Spearman’s correlation test were used to analyze the data. The mean CAS score of the DM patients was 7.89±3.87, while their mean total MMAS-8 score was 4.06±1.56. It was determined that the patients who were using oral antidiabetic medications, those adhering to their medication and diet treatment, and those who were not COVID-19 had higher levels of anxiety. There was a negative significant relationship between the MMAS-8 and CAS scores of the patients (p

Assessment of the Impact of Alcohol Consumption Patterns on Heart Rate Variability by Machine Learning in Healthy Young Adults

Background and Objectives: Autonomic nervous system (ANS) dysfunction is present in early stages of alcohol abuse and increases the likelihood of cardiovascular events. Given the nonlinear pattern of dynamic interaction between sympathetic nervous system (SNS) and para sympathetic nervous system (PNS) and the complex relationship with lifestyle factors, machine learning (ML) algorithms are best suited for analyzing alcohol impact over heart rate variability (HRV), because they allow the analysis of complex interactions between multiple variables. This study aimed to characterize autonomic nervous system dysfunction by analysis of HRV correlated with cardiovascular risk factors in young individuals by using machine learning. Materials and Methods: Total of 142 young adults (28.4 ± 4.34 years) agreed to participate in the study. Alcohol intake and drinking patterns were assessed by the AUDIT (Alcohol Use Disorders Identification Test) questionnaire and the YAI (Yearly Alcohol Intake) index. A short 5-min HRV evaluation was performed. Post-hoc analysis and machine learning algorithms were used to assess the impact of alcohol intake on HRV. Results: Binge drinkers presented slight modification in the frequency domain. Heavy drinkers had significantly lower time-domain values: standard deviation of RR intervals (SDNN) and root mean square of the successive differences (RMSSD), compared to casual and binge drinkers. High frequency (HF) values were significantly lower in heavy drinkers (p = 0.002). The higher low-to-high frequency ratio (LF/HF) that we found in heavy drinkers was interpreted as parasympathetic inhibition. Gradient boosting machine learner regression showed that age and alcohol consumption had the biggest scaled impact on the analyzed HRV parameters, followed by smoking, anxiety, depression, and body mass index. Gender and physical activity had the lowest impact on HRV. Conclusions: In healthy young adults, high alcohol intake has a negative impact on HRV in both time and frequency-domains. In parameters like HRV, where a multitude of risk factors can influence measurements, artificial intelligence algorithms seem to be a viable alternative for correct assessment.

How the COVID-19 outbreak affected patients with diabetes mellitus?

Background

Global COVID-19 outbreak has been such a stressful experience for most of the people. Using a web-based cross-sectional study, we aimed to evaluate the acute stress response, depression, and anxiety in patients with diabetes mellitus (DM) during the COVID-19 pandemic, and to examine the effect of these psychiatric problems on diet habits and glycemic controls of patients.

Methods

This web-based survey of COVID-19 was sent to the patients through the Whatsapp platform. All participants reported their demographic data, diabetes-related information, changes in self-monitoring blood glucose measurements, physical parameters, and eating habits after COVID-19, then completed Hospital Anxiety and Depression Scale (HADS) and the Impact of Event Scale, Revised (IES-R) questionnaires which assessed acute stress sypmtoms, anxiety, and depression.

Results

Three hundred and four patients with DM [(141 type 1 DM (T1D) and 163 type 2 (T2D)] were included in the study. In our study, female gender, higher BMI and weight, decreased in financial income after outbreak, presence of diabetic complications and comorbid diseases (i.e., retinopathy, neuropathy, diabetic foot, hypertension, dyslipidemia), worsened glycemic levels, increased carbohydrate consumption, and snacking were associated with higher anxiety and depression scores. Depression was higher in patients with T2D and duration of illness was correlated with acute stress level.

Conclusions

It is important to be aware of the possibility of acute stress, depression, and anxiety after pandemic in patients with DM whose glycemic control is impaired. Psychological problems should not be ignored beyond physical inactivity and worsening eating habits.

The Relationship Between Type D Personality and the Complexity of Coronary Artery Disease

PURPOSE

The relationship between personality traits and cardiovascular disease has gathered sustained interest over the last years, type -D personality (TDP) being significantly associated with coronary artery disease (CAD). However, data regarding the connection between the TDP and the severity of CAD disease is scarce. The aim of our study was to assess the relationship between TDP and the complexity of CAD, and to compare it with other sociodemographic and clinical features.

PATIENTS AND METHODS

We conducted a cross-sectional case-control clinical-based study on 221 consecutive hospitalized patients with chest pain (60 ± 10.2 years; 131 men), referred for coronary angiography.

RESULTS

TDP was identified in 42 (19%) patients, using the DS 14 scale. Symptomatology profile was evaluated using the SCL-90 scale. Syntax score was greater in the subgroup of patients with TDP in comparison to non-TDP subgroup (26.21±12.03 vs 15.49±8.89, respectively, p<0.001), and most of SCL-90 symptom dimensions have significantly higher levels in the subgroup of TDP with CAD patients (all p < 0.05). Smoking (β=0.132, p=0.037), dyslipidemia (β=0.149, p=0.013), Diabetes Mellitus (β=232, p<0.001), NA dimension of TDP (β=0.255, p<0.001) and SI (β=0.279, p<0.001) dimension of TDP have a significant contribution to the complexity of CAD assessed by Syntax score.

CONCLUSION

TDP was associated with a more complex CAD assessed by Syntax score, and may represent a dynamic interface between the biological and psychological vulnerabilities and the symptoms of CAD.