Mood symptoms and personality dimensions as determinants of health-related quality of life in patients with coronary artery disease

Relation between personality dimensions and symptomatology of depression in skin cancer patients

BACKGROUND

Environmental psychological factors such as mood states can modify and trigger an organic response; depressive disorder is considered a risk factor for oncological development, leading to alterations both in the genesis and in the progression of the disease. Some authors have identified that personality relates to mood since a high score in neuroticism is associated with intense and long-lasting emotions of stress and therefore with the development of depressive behaviors. The objective of this study was to analyze the relationship between personality and depression in skin cancer patients.

METHODS

A total of forty-seven clinically and histopathologically diagnosed patients were scheduled for an hour-long interview, during which they provided informed consent and sociodemographic information. The psychological questionnaires applied were the revised Eysenck Personality Questionnaire and the clinical questionnaire for the diagnosis of the depressive syndrome.

RESULTS

The patient's mean age was 66.5 years (SD ± 12.4) and the majority were diagnosed with basal cell carcinoma (70.2%). The frequency of anxious/depressive symptoms was 42.5%, with an increase in depression scores in the female gender (p < 0.001). Furthermore, a difference was found in the neuroticism dimension related to gender, with higher values in women (p = 0.002). Depressive symptomatologic portraits were correlated with the dimensions of neuroticism (p < 0.001, r = 0.705), psychoticism (p = 0.003, r = 0.422) and lying (p = 0.028, r = - 0.321).

CONCLUSIONS

Our results support the hypothesis that personality dimensions are related to the presence of anxiety/depressive symptomatology in patients with skin cancer, especially in the female gender. Highlighting the need for future research that delves into the implications at the psychological level, the quality of life, and the biological mechanisms that link personality and depressive symptoms in the development and evolution of skin cancer.

Validation of the Multidimensional Fatigue Inventory with Coronary Artery Disease Patients

BACKGROUND

Fatigue is a common distressing symptom in patients with coronary artery disease (CAD). The Multidimensional Fatigue Inventory (MFI) is used for measuring fatigue in various clinical settings. Nevertheless, its multidimensional structure has not been consistent across studies. Thus, we aimed to psychometrically evaluate the MFI in patients with CAD.

METHODS

In sum, 1162 CAD patients completed questionnaires assessing their subjective fatigue level (MFI-20), mental distress symptoms (HADS, STAI), and health-related quality of life (SF-36). Participants also completed exercise capacity (EC) testing.

RESULTS

Confirmatory factor analysis of the four-factor model, showed acceptable fit (CFI = 0.905; GFI = 0.895; NFI = 0.893, RMSEA = 0.077). After eliminating four items, confirmatory factor analysis testing showed improvement in the four-factor model of the MFI-16 (CFI = 0.910; GFI = 0.909; NFI = 0.898, RMSEA = 0.077). Internal consistency values were adequate for the total score and four MFI-16 subscales: General fatigue, physical fatigue, reduced activity, and mental fatigue with Cronbach's α range: 0.60-0.82. The inadequate value (Cronbach's α = 0.43) was received for the subscale of reduced motivation in both MFI-20 and MFI-16. Correlations between the MFI-16 and HADS, STAI, SF-36, and EC measures were statistically significant (all p's < 0.001).

CONCLUSIONS

The Lithuanian version of the modified MFI of 16 items showed good factorial structure and satisfactory psychometric characteristics, except for reduced motivation subscale.

Mental Distress Factors and Exercise Capacity in Patients with Coronary Artery Disease Attending Cardiac Rehabilitation Program

PURPOSE

There is still insufficient data on mental distress factors contributing to exercise capacity (EC) improvement before and after cardiac rehabilitation (CR) in patients with coronary artery disease (CAD). The aim of our study was to evaluate the associations between various mental distress factors and EC before and after exercise-based CR (EBCR).

METHODS

Over 12 months, 223 CAD patients (70% men, mean age 58 ± 9 years) were evaluated for socio-demographic, clinical, and mental distress symptoms as measured by the Hospital Anxiety and Depression scale (HADS), Beck Depression Inventory-II (BDI-II), and Spielberger State-Trait Anxiety Inventory (STAI). Patients were tested for EC at baseline and after EBCR.

RESULTS

In a multivariate linear regression model, EC before EBCR was associated with HADS anxiety subscale (β = -.186, p = .002) and BDI-II somatic/affective subscale (β = -.249, p < .001). EC after EBCR was associated with HADS anxiety and depression subscales (β = -.198, p < .001; β = -.170, p = .002, respectively) and BDI-II (β = -.258, p < .001). The BDI-II somatic/affective subscale was the best predictor of reduced EC before and after EBCR.

CONCLUSIONS

Mental distress and somatic/affective symptoms of depression are strongly associated with EC both at the beginning and after EBCR. Analysis of possible mediating or moderating factors was beyond the scope of our study. Future studies should focus on comprehensive evaluation of EC risk factors including other mental distress characteristics, subjectively experienced fatigue, and post-operative CAD symptoms.

A Community Perspective on Resilience Analytics: A Visual Analysis of Community Mood

Social networks are ubiquitous in everyday life. Although commonly analyzed from a perspective of individual interactions, social networks can provide insights about the collective behavior of a community. It has been shown that changes in the mood of social networks can be correlated to economic trends, public demonstrations, and political reactions, among others. In this work, we study community resilience in terms of the mood variations of the community. We have developed a method to characterize the mood steady-state of online social networks and to analyze how this steady-state is affected under certain perturbations or events that affect a community. We applied this method to study community behavior for three real social network situations, with promising results.

Impact of left ventricular function on health-related quality of life in coronary artery disease patients

OBJECTIVE

The aim of the study was to investigate the relation between health-related quality of life (HRQoL) and left ventricular systolic and diastolic function parameters in stable coronary artery disease (CAD) patients with mild and moderate heart failure.

MATERIALS AND METHODS

This study included 758 CAD patients. Left ventricular ejection fraction (LVEF) and ratio of peak velocities of early (E) and late (A) diastolic mitral inflow, ratio E/A, deceleration time, isovolumic relaxation time were assessed. Patients completed the SF-36 questionnaire.

RESULTS

There were no strong and significant associations between echocardiographic measures and HRQoL in NYHA I-II class patients. In NYHA III class in univariate linear regression analyses significant associations were found between LVEF and physical functioning (β=0.230, P=0.009) and role limitations due to physical problems (β=0.230, P=0.009) and these associations remain significant after adjustment for age, gender, hypertension, angina pectoris class, nitrate, ACE inhibitors and diuretics use. E/A ratio was significantly associated only with mental health domain (β=0.188, P=0.048), and this association remains significant after all adjustments.

CONCLUSIONS

In stable CAD patients with NYHA I-II functional class HRQoL was not strongly associated with left ventricular function; in NYHA III functional class patients' greater systolic function mainly was associated with better physical health and better diastolic function, with better mental health.

Relationship of health-related quality of life with fatigue and exercise capacity in patients with coronary artery disease

OBJECTIVE

The study objective was to evaluate the relationship of health-related quality of life (HRQoL) with fatigue and exercise capacity in coronary artery disease (CAD) patients.

METHODS

A total of 1072 consecutive CAD patients on admission to a cardiac rehabilitation program were evaluated for HRQoL (36-item Short Form Medical Outcome Questionnaire; SF-36), body mass index, clinical characteristics (New York Heart Association (NYHA) class, angina pectoris class, coronary interventions, treatment with beta blockers, hypertension and diabetes), symptoms of depression and anxiety (Hospital Anxiety and Depression Scale), fatigue (Multidimensional Fatigue Inventory-20; MFI-20), and exercise capacity (bicycle ergometer test).

RESULTS

In univariate regression analyses lower scores on all SF-36 domains were associated with greater scores on all MFI-20 subscales. Exercise capacity was associated with all SF-36 domains, except for social functioning and mental health domains. In multivariate regression analyses, after adjusting for age, gender, body mass index, NYHA class, angina pectoris class, hypertension, diabetes, coronary interventions, treatment with betablockers, and symptoms of depression and anxiety, greater limitation due to physical and due to emotional problems, poor social functioning, decreased energy/vitality, worse general health perception, reduced mental component summary and lower global SF-36 score were independently associated with higher MFI-20 general fatigue score. Reduced physical functioning, greater pain, and reduced physical component summary SF-36 scores were associated with greater MFI-20 physical fatigue score. Lower SF-36 mental health score was associated, with greater MFI-20 mental fatigue score.

CONCLUSION

In CAD patients undergoing rehabilitation, poor HRQoL is associated with greater fatigue and decreased exercise capacity independently from mental distress and CAD severity score.

Screening for anxiety disorders in patients with coronary artery disease

Background

Anxiety disorders are prevalent and associated with poor prognosis in patients with coronary artery disease (CAD). However, studies examining screening of anxiety disorders in CAD patients are lacking. In the present study we evaluated the prevalence of anxiety disorders in patients with CAD and diagnostic utility of self-rating scales for screening of anxiety disorders.

Methods

Five-hundred and twenty-three CAD patients not receiving psychotropic treatments at initiation of rehabilitation program completed self-rating scales (Hospital Anxiety and Depression Scale or HADS; Spielberger State-Anxiety Inventory or SSAI; and Spielberger Trait-Anxiety Inventory or STAI) and were interviewed for generalized anxiety disorder (GAD), social phobia, panic disorder and agoraphobia (Mini-International Neuropsychiatric Interview or MINI).

Results

Thirty-eight (7%) patients were diagnosed with anxiety disorder(s), including GAD (5%), social phobia (2%), agoraphobia (1%) and panic disorder (1%). Areas under the ROC curve of the HADS Anxiety subscale (HADS-A), STAI and SSAI for screening of any anxiety disorder were .81, .80 and .72, respectively. Optimal cut-off values for screening of any anxiety disorders were ≥8 for the HADS-A (sensitivity = 82%; specificity = 76%; and positive predictive value (PPV) = 21%); ≥45 for the STAI (sensitivity = 89%; specificity = 56%; and PPV = 14%); and ≥40 for the SSAI (sensitivity = 84%; specificity = 55%; PPV = 13%). In a subgroup of patients (n = 340) scoring below the optimal major depressive disorder screening cut-off value of HADS-Depression subscale (score <5), the HADS-A, STAI and SSAI had moderate-high sensitivity (range from 69% to 89%) and low PPVs (≤22%) for GAD and any anxiety disorders.

Conclusions

Anxiety disorders are prevalent in CAD patients but can be reliably identified using self-rating scales. Anxiety self-rating scales had comparable sensitivities but the HADS-A had greater specificity and PPV when compared to the STAI and SSAI for screening of anxiety disorders. However, false positive rates were high, suggesting that patients with positive screening results should undergo psychiatric interview prior to initiating treatment for anxiety disorders and that routine use of anxiety self-rating scales for screening purposes can increase healthcare costs. Anxiety screening has incremental value to depression screening for identifying anxiety disorders.