Depression, Anxiety, Perceived Stress, and Their Changes Predict Greater Decline in Physical Health Functioning over 12 Months Among Patients with Coronary Heart Disease

Could an increased risk of obstructive sleep apnoea be one of the determinants associated with disability in individuals with cardiovascular and cerebrovascular diseases?

PURPOSE

To investigate a possible association between the risk of obstructive sleep apnoea (OSA) and disability in individuals with cardiovascular or cerebrovascular diseases.

METHODS

Cross-sectional study was conducted with 373 individuals (313 with cardiovascular or cerebrovascular diseases and 60 healthy). Disability was assessed by the 12-item World Health Organization Disability Assessment Schedule (WHODAS), and the risk of OSA was assessed by STOP-BANG. Anxiety and depression symptoms, daytime sleepiness, and cognition were assessed by the Hospital Anxiety and Depression Scale (HADS), Epworth Sleepiness Scale (ESS), and Mini Mental State Examination (MMSE).

RESULTS

Greater disability was found in individuals with intermediate or high risk of OSA, considering healthy individuals (p=0.03), or individuals diagnosed with arrhythmia (p<0.01) or coronary artery disease (p=0.04). A high risk of OSA and higher WHODAS scores was significant among women as well as between OSA risk categories (p<0.01). Cognitive deficit and level of education also showed differences between OSA risk categories. Age, depression, and sleepiness were also associated with the subjects' disability (p<0.01). Gamma regression model showed higher WHODAS scores in female, in those with intermediate and high risk of OSA, and in those with depressive symptoms and cognitive deficit. Age also showed a correlation with higher WHODAS scores. The presence of all investigated cardio and cerebrovascular diseases showed an increase in the WHODAS score, implying a greater disability compared to healthy individuals.

CONCLUSION

Moderate and high risk of OSA is associated with disability, as well as gender, age, depressive symptoms, cognitive deficit, and cardiovascular diseases.

An exploration of proactive health oriented symptom patterns in patients undergoing percutaneous coronary intervention with stent implantation: A mixed-methods study protocol

BACKGROUND

Coronary Heart Disease (CHD) is one of the most prevalent chronic diseases worldwide. Currently, percutaneous coronary intervention (PCI) with stent implantation is the main clinical treatment for CHD, and patients can achieve better outcomes after stenting. However, adverse cardiovascular events continue to recur, ultimately failing to yield good results. Several symptoms exist after stenting and are associated with health outcomes. Little is known about the symptom patterns of patients during the different postoperative periods. Therefore, this study aims to explore the dynamics of symptoms and clarify the experiences of post-stenting in patients during different periods, which may help the delivery of more specific patient management and improve survival outcomes in the future.

METHODS

A mixed method (quantitative/qualitative) design will be adopted. Longitudinal research, including surveys regarding three different periods, will be sued to describe the symptom patterns of patients undergoing PCI with stent implantation, clarifying their focused symptom problems during different time periods or in populations with different features. Qualitative individual interviews aim to understand the feelings, experiences, opinions, and health conditions of patients post-stenting, which can explain and supplement quantitative data. Quantitative data will be analyzed using descriptive statistics, latent class analysis (LCA), and latent translation analysis (LTA). Qualitative data will be analyzed using content analysis.

DISCUSSION

This study is the first study to explore the symptom patterns and experiences of patients in various domains after stent implantation using a novel design including quantitative and qualitative methods, which will help the delivery of more specific patient management, reduce the recurrence of adverse cardiovascular events, and improve survival outcomes in the future. It is also meaningful to use PROMIS profile-57 to help patients to proactively focus on their health problems, promote health literacy, and incorporate active patient participation into health management, which is a successful transition from passive medical treatment to active management.

Using artificial intelligence to identify the top 50 independent predictors of subjective well-being in a multinational sample of 37,991 older European & Israeli adults

Subjective well-being (SWB) is widely recognized as an important health outcome, but its complexity, myriad predictors, and analytic requirements pose significant challenges to identifying the relative order and impact of SWB determinants. This study involved a representative sample of 37,991 older adults from 17 European countries and Israel. An aggregate index of SWB was developed and compared across countries, and machine-learning algorithms were used to rank-order the strongest 50 (of an initial 94) SWB predictors from 15 categories. General Additive Modeling (GAM) and low-degree polynomials (i.e., splines) were used to determine the independent effect sizes and significance levels for each of these top-50 SWB predictors. Of the 18 countries included in this study, Denmark had the highest mean SWB, while Greece had the lowest. The two top-ranked SWB predictors (loneliness, social activity satisfaction) were social factors, which also had the highest overall group ranking, followed by physical health, demographics, financial status and personality. Self-reported health was the strongest health-related predictor, neuroticism was the strongest personality predictor, and women reported higher SWB than men. SWB decreased with age, and increased with income up to 350,000 euros/year, after which it declined. Social factors were of primary importance for subjective well-being in this research, while childhood experiences and healthcare status exerted the smallest effects. The vast majority of the top 50 SWB predictors were statistically significant, with the notable exceptions of body mass index and most health behaviors, which may impact SWB indirectly through their effects on physical health. Future multivariate modeling is recommended to clarify the mechanisms for these and other observed relationships.

Identifying pathways between psychiatric symptoms and psychosocial functioning in the general population

The present study aims to identify pathways between psychiatric network symptoms and psychosocial functioning and their associated variables among functioning clusters in the general population. A cross-sectional web-based survey was administered in a total of 3,023 individuals in Brazil. The functioning clusters were derived by a previous study identifying three different groups based on the online Functioning Assessment Short Test. Networking analysis was fitted with all items of the Patient-Reported Outcomes Measurement Information System for depression and for anxiety (PROMIS) using the mixed graphical model. A decision tree model was used to identify the demographic and clinical characteristics of good and low functioning. A total of 926 (30.63%) subjects showed good functioning, 1,436 (47.50%) participants intermediate functioning, and 661 (21.86%) individuals low functioning. Anxiety and uneasy symptoms were the most important nodes for good and intermediate clusters but anxiety, feeling of failure, and depression were the most relevant symptoms for low functioning. The decision tree model was applied to identify variables capable to discriminate individuals with good and low functioning. The algorithm achieved balanced accuracy 0.75, sensitivity 0.87, specificity 0.63, positive predictive value 0.63 negative predictive value 0.87 (p<0.001), and an area under the curve of 0.83 (95%CI:0.79-0.86, p<0.01). Our results show that individuals who present psychological distress are more likely to experience poor functional status, suggesting that this subgroup should receive a more comprehensive psychiatric assessment and mental health care.

Loneliness predicts physical and mental health-related quality of life over 9 months among patients with coronary heart disease

This study investigated whether loneliness would predict physical and mental health-related quality of life (HRQoL) over 9 months and examined whether medical adherence would mediate their associations in patients with coronary heart disease (CHD). The overall design is a three-wave longitudinal study. A sample of 255 outpatients with CHD was recruited from a community-based cardiac rehabilitation programme. Participants, with a mean age of 63 years, completed measures assessing loneliness, depression and physical and mental HRQoL at baseline. Medical adherence was assessed at 3 months, and physical and mental HRQoL were reassessed at 9 months. A total of 88% of participants reported moderate or high loneliness. Baseline loneliness predicted physical and mental HRQoL at 9 months after adjusting for baseline physical and mental HRQoL, respectively. The effects remained significant when depression was also adjusted. Medical adherence at 3 months partially mediated the associations of baseline loneliness with 9-month physical and mental HRQoL. Findings underline the necessity of assessing loneliness for CHD patients to promote long-term medical adherence and further improve physical and mental HRQoL.

Effect of Psychological Intervention on Perceived Stress and Positive Psychological Traits Among Nursing Students: Findings During the COVID-19 Pandemic

High levels of perceived stress and deterioration of positive psychological traits concomitant with the coronavirus disease 2019 pandemic have endangered the health and academic achievement of nursing students. Effective intervention research in this area should be performed as soon as possible. In the current study, a 15-month trial involving nursing students recruited from a medical university was conducted, in which an experimental group (n = 126) received the Three Good Things exercise based on social network groups. Two follow ups were performed. There was no intervention in the control group. During the intervention period, there were significant differences in perceived stress, self-efficacy, resilience, and optimism between the two groups (p < 0.05). Perceived stress in the experimental group was significantly reduced throughout the follow-up period (p < 0.001). Postintervention analysis of optimism showed maintenance of the improvement trend over a 3-month period (p < 0.01). There was no significant difference in hope between groups. The Three Good Things exercise had a short-term effect on decreasing perceived stress and increasing optimism among nursing students. [Journal of Psychosocial Nursing and Mental Health Services, xx(xx), xx-xx.].

Knowledge, attitudes, and barriers related to medication adherence of older patients with coronary heart disease in China

OBJECTIVES

To investigate the knowledge, attitudes, and barriers related to medication adherence in older patients with coronary heart disease (CHD).

METHODS

A total of 272 older patients with CHD were investigated by the Chinese version of the Medication Adherence Scale. The score ranges for the knowledge, attitudes, and barrier subscales were 0-30, 0-30, and 0-110, respectively. Higher scores indicate more knowledge, positive attitudes, and more barriers related to medication adherence.

RESULTS

The median scores of knowledge, attitudes and barriers were 25.5, 28, and 8, respectively. Having stents, living alone, good financial status and fewer chronic diseases were related to more knowledge. Younger age, having no stent, and more chronic diseases were associated with more barriers. Patients with good financial status and higher age had more positive attitudes.

CONCLUSIONS

Understanding older patients' knowledge, attitudes, and barriers related to medication adherence and their associated factors can help develop tailored interventions in medication adherence studies.

Psychosocial Risk Factors in Cardiac Rehabilitation: Time to Screen Beyond Anxiety and Depression

Background

Although it is well acknowledged that psychosocial risk factors (PSRF) such as low socio-economic status, stress, social isolation, negative emotions and negative personality patterns may contribute to the development and adverse outcome of cardiovascular disease (CVD), screening for PSRF in CVD patients is usually limited to anxiety and depression, mainly for feasibility reasons. We therefore aimed to develop a user-friendly screening battery for routine assessment of PSRFs and to evaluate this instrument regarding feasibility of application, PSRF results and attendance of psychological counselling if recommended to cardiac rehabilitation (CR) patients.

Methods

This is a prospective single center cohort study including 609 consecutive CR patients. We first developed a screening instrument based on seven validated scales for the most relevant PSRFs with totally 90 questions presented in a uniform graphical design to facilitate completion called Psychocardiogram® (PCG) and applied the instrument in consecutive patients attending CR. Patients with positive screening results were invited to a psychological counseling session.

Results

Six hundred and nine consecutive patients, aged 34 to 86 years (mean 60.7 years), 85% men, entering the CR program at the Bern University Hospital with ischemic heart failure (CHF), coronary artery disease (CAD) or peripheral artery disease, were included in this study. Eighty-three point three percent of the patients completed the PCG within 40 minutes. Vital exhaustion and Type-D personality were the most prevalent PSRFs (56.9% and 51.1%, respectively), whereas low social support (14.4%) and elevated depressive symptoms (15.9%), were the least prevalent ones. After screening, 120 patients (52.86%) with at least one PSRF made use of psychological counseling.

Conclusions

We found the PCG to be a useful screening tool for PSRF in CR patients with the potential to get new insights into the prevalence of particular PSRF in specific populations and to better study their impact on occurrence and outcome of CVD.

A randomized controlled trial on the comparative effectiveness of mindfulness-based cognitive therapy and health qigong-based cognitive therapy among Chinese people with depression and anxiety disorders

BACKGROUND

The goal of this study was to investigate treatment outcome and related intervention processes of mindfulness-based cognitive therapy versus health qigong-based cognitive therapy versus waitlist control among individuals with mood disorders.

METHODS

A total of 187 individuals with mood disorders were randomized and allocated into mindfulness-based cognitive therapy, health qigong-based cognitive therapy, or waitlist control groups. All participants were assessed at three time points with regard to depressive and anxiety symptoms, physical and mental health status, perceived stress, sleep quality, and self-efficacy. Linear mixed models analysis was used to test the individual growth model by studying the longitudinal data.

RESULTS

Mindfulness-based cognitive therapy and health qigong-based cognitive therapy both produced greater improvements on all outcome measures as compared with waitlist control. Relatively, more reductions of mood symptoms were observed in the health qigong-based cognitive therapy group as compared with the mindfulness-based cognitive therapy group. Health qigong-based cognitive therapy is more conducive to physical health status whereas mindfulness-based cognitive therapy has more favorable mental health outcomes. Individual growth curve models indicated that alterations in perceived stress was the common predictor of mood changes in both intervention groups.

CONCLUSIONS

The predominant emphasis on physical health in health qigong-based cognitive therapy makes it more acceptable and effective than mindfulness-based cognitive therapy as applied in Chinese individuals with mood disorders. The influence of Chinese culture is discussed.

TRIAL REGISTRATION

HKU Clinical Trials Registry. Identifier: HKUCTR-2558 . Registered 21st Nov 2018.

COVID-19-Related Factors Associated with Sleep Disturbance and Suicidal Thoughts among the Taiwanese Public: A Facebook Survey

Coronavirus disease 2019 (COVID-19) pandemic has impacted many aspects of people's lives all over the world. This Facebook survey study aimed to investigate the COVID-19-related factors that were associated with sleep disturbance and suicidal thoughts among members of the public during the COVID-19 pandemic in Taiwan. The online survey recruited 1970 participants through a Facebook advertisement. Their self-reported experience of sleep disturbance and suicidal thoughts in the previous week were collected along with a number of COVID-19-related factors, including level of worry, change in social interaction and daily lives, any academic/occupational interference, levels of social and specific support, and self-reported physical health. In total, 55.8% of the participants reported sleep disturbance, and 10.8% reported having suicidal thoughts in the previous week. Multiple COVID-19-related factors were associated with sleep disturbance and suicidal thoughts in the COVID-19 pandemic. Increased worry about COVID-19, more severe impact of COVID-19 on social interaction, lower perceived social support, more severe academic/occupational interference due to COVID-19, lower COVID-19-specified support, and poorer self-reported physical health were significantly associated with sleep disturbance. Less handwashing, lower perceived social support, lower COVID-19-specified support, poorer self-reported physical health, and younger age were significantly associated with suicidal thoughts. Further investigation is needed to understand the changes in mental health among the public since the mitigation of the COVID-19 pandemic.