How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning

The influence of hope and optimism on trajectories of COVID-19 stress, health anxiety, and wellbeing during the COVID-19 pandemic

INTRODUCTION

The COVID-19 pandemic posed a threat to public health and psychological functioning, with early studies documenting higher rates of psychopathology within the United States and globally. Hope and optimism promote adjustment and are associated with positive physical and mental health outcomes. Thus, individual differences in hope and optimism may also foster resilience during a global health crisis.

AIMS

The current study examined how hope and optimism influenced longitudinal health-focused distress and wellbeing during the pandemic.

METHODS

Data were collected from 788 American adults across three periods during Spring-Summer 2020 using MTurk. Latent growth curve modeling examined whether hope and optimism predicted COVID stress, health anxiety, and wellbeing trajectories.

RESULTS

COVID stress and health anxiety decreased after the onset of the pandemic, whereas wellbeing was stable. Individually, hope and optimism predicted lower initial COVID stress and health anxiety, along with greater initial wellbeing. When examining the combined influence of hope and optimism, optimism was more strongly related to health-focused distress, though both were strong predictors of wellbeing.

CONCLUSIONS

These findings indicate that Americans were resilient and positive expectancies, particularly optimism, predicted better initial adjustment to the early phases of the pandemic. Thus, positive expectancies appear to be protective during a global health crisis.

Resilience among Turkish adolescents: A multi-level approach

The objective of this study is to determine the components that contribute to psychological resilience in adolescents and to determine if physical exercise, emotion control, or self-efficacy are more effective predictors of resilience. Data from participants was collected through a personal information form, the International Physical Activity Questionnaire-Short Form, the Self-Efficacy Scale for Children, the Emotion Regulation Scale for Children and Adolescents, and the Psychological Resilience Scale for Children and Adolescents. The data were gathered online from 16 out of the 81 provinces in Turkey, representing 7 different regions, using convenience sampling. The study sample comprised 505 adolescents, with 309 females and 196 males. The average age of the participants was 15.66 years, with a standard deviation of 1.34. The data obtained from the students was analyzed using SPSS 27.0 statistical software. The Chi-Square test was employed to establish the correlation between the demographic features of adolescents and their levels of physical activity. The relationship between the independent variables and the dependent variable was determined using correlation analysis and hierarchical regression analysis. According to the analyzed results, there was a substantial positive correlation between physical activity and resilience, reappraisal and resilience, and self-efficacy and resilience. In addition, it was noted that physical activity alone explains 4.8% of the overall variation in resilience and is a significant predictor of resilience. The inclusion of reappraisal in the model resulted in a partial prediction of resilience by physical activity. However, the primary strength of the model was attributed to reappraisal. The inclusion of self-efficacy in the model resulted in a significant prediction of resilience, accounting for 36.8% of the total variance. The self-efficacy variable had a higher impact level compared to the other variables. Furthermore, the inclusion of self-efficacy in the model resulted in the elimination of the influence of physical activity on resilience. The research conclusions point out that self-efficacy has a greater impact on psychological resilience compared to physical activity and emotion regulation.

Exploring the interplay of emotional intelligence, psychological resilience, perceived stress, and life satisfaction: A cross-sectional study in the Turkish context

BACKGROUND

Emotional intelligence and life satisfaction are essential components for good psychological well-being. Studies examining the elements contributing to emotional intelligence and its relationships with different psychological constructs are likely to positively contribute to mental health. Therefore, the present study examined the mediating roles of perceived stress and psychological resilience in the relationship between emotional intelligence and life satisfaction.

METHODS

The study sample comprised 780 university students (62.3% females) studying at universities in different regions of Türkiye. An online survey included the Emotional Intelligence Scale, Satisfaction with Life Scale, Psychological Resilience Scale, and Perceived Stress Scale. A multifactorial complex predictive correlational design was used.

RESULTS

The results showed that emotional intelligence was (i) positively correlated with life satisfaction and psychological resilience, and (ii) negatively correlated with perceived stress. In the final model, perceived stress and psychological resilience played a mediating role in the relationship between emotional intelligence and life satisfaction. The findings suggest that higher emotional intelligence may lower perceived stress and appears to have a positive effect in relation to life satisfaction and psychological resilience.

CONCLUSION

Individuals working in the field of mental health need to help individuals increase their level of EI, which may help reduce the level of perceived stress and increase psychological resilience and life satisfaction.

The impact of epidemic infectious diseases on the relationship between subjective well-being and social class identity in older adults: The mediating role of Self-rated health

BACKGROUND

The purpose of this paper is to explore the relationship between subjective well-being, social class identity, and Self-rated health among older persons,. Focusing on the mediating role of health and the impact of epidemic infectious diseases on these relationships.

METHODS

Based on the 2018 and 2021 China General Social Survey (CGSS) databases, the data were screened, and processed. Using Stata17, we employed ordered probit regression to examine the relationships among variables and Bootstrap methods to assess mediation effects, and the CGSS data for 2018 and 2021 were compared and analyzed.

RESULTS

Our results revealed that factors such as social class identity, health status, and personal income significantly positively impact older persons' subjective well-being (P<0.01). Notably, there was a partial mediating effect of health status between the subjective well-being of the elderly and social class identity. And findings showed that when older adults were affected by epidemic diseases, their subjective well-being, social class identity, and Self-rated health remained significantly positively correlated. Subjective well-being, social class identity. What is more noteworthy is that when affected by epidemic infectious diseases, older adults' subjective well-being, social class identity, and Self-rated health remained significantly positively correlated. The mediating role of self-rated health in older adults' subjective well-being and social class identity increased from 9.6% to 12.4%.

CONCLUSIONS

In the face of epidemic infectious diseases, we need to pay more attention to the Self-rated health of the elderly, and the Chinese government should take effective measures to improve their health level, which will in turn improve the subjective well-being of the elderly and realize the goal of healthy aging.

The relationship between earthquake risk perceptions, religious orientation, spiritual well-being in individuals with and without earthquake experience: a cross-sectional study

The physical and psychological effects of earthquakes on individuals with their experience dimension are important. This study aimed to examine the relationship between earthquake risk perception, religious orientation, and spiritual well-being among individuals with and without earthquake experience. The data collection instruments included a socio-demographic information questionnaire, earthquake risk perception scale, religious orientation scale, and three-factor spiritual well-being scale. Statistical evaluations were performed using independent samples t test, one-way ANOVA test, Mann-Whitney U test, Kruskal-Wallis test (Levene), Pearson correlation, and multiple linear regression analyses. About 59.9% of the participants had experienced an earthquake. Individuals with earthquake experience scored 33.04 ± 7.80 on the earthquake risk perception scale, 100.65 ± 20.80 on the religious orientation scale, and 119.66 ± 18.87 on the three-factor spiritual well-being scale. Those without earthquake experience scored 31.57 ± 7.74, 96.70 ± 18.46, and 114.09 ± 18.04 on the respective scales. The average scores on the earthquake risk perception scale were found to be statistically significant with respect to gender, while the average scores on the religious orientation scale and the three-factor spiritual well-being scale were found to be statistically significant with respect to both gender and substance use. The regression analysis revealed that religious orientation and three-factor spiritual well-being significantly predicted 13.5% of the variance in earthquake risk perception. Studies to increase individuals' risk perception are important in minimizing the destructive effects of earthquakes in countries in the earthquake zone.

Relationship among post-traumatic growth, spiritual well-being, and perceived social support in Chinese women with gynecological cancer

This study aimed to examine the correlation between post-traumatic growth (PTG), spiritual well-being (SWB), perceived social support (PSS), and demographic and clinical factors in Chinese gynecological cancer patients. Through convenience sampling, we conducted a cross-sectional study of 771 adult patients with gynecological cancer. The European Organization for Research and Treatment for Cancer Quality of Life Questionnaire-Spiritual Well-being 32 (EORTC QLQ-SWB32), Post-traumatic Growth Inventory (PTGI), and Multidimensional Scale of Perceived Social Support (MSPSS) were used to measure SWB, PTG, and PSS. A Multiple Linear Regression Model was used to determine the possible factors contributing to PTG. The subscale with the highest centesimal score in the PTGI was the Appreciation of Life Scale, and the lowest was New Possibility. Gynecologic cancer patients with younger ages (B =  - 0.313, P = 0.002), perceived more family support (B = 1.289, P < 0.001), had more existential (B = 0.865, P = 0.010), and had religious belief (B = 5.760, P = 0.034) may have more PTG. Spiritual well-being, perceived social support, younger age, and religious beliefs are associated with post-traumatic growth in gynecological cancer patients. Healthcare staff could provide more professional support to younger patients with religious beliefs. Promoting social support and spiritual well-being could potentially serve as effective interventions for boosting PTG among gynecological cancer.

Relationship between work-family conflict and anxiety/depression among Chinese correctional officers: a moderated mediation model of burnout and resilience

BACKGROUND

Correctional officers tend to have high levels of work-family conflict (WFC). WFC has been found associated with various forms of psychological distress and to affect the overall well-being of correctional officers. Burnout and resilience may affect the relationship between WFC and psychological distress, however, this association still remains unclear. This study aimed to examine the mediating effect of burnout on the relationship between WFC and anxiety/depression and the moderating role of resilience, within the context of correctional officers.

METHODS

A cross-sectional online survey was conducted in China from October 2021 to January 2022. WFC, burnout, resilience, anxiety, and depression were evaluated using the Work-Family Conflict Scale (WFCS), Maslach Burnout Inventory-General Survey (MBI-GS), 10-item Connor-Davidson Resilience Scale (CD-RISC-10), and the Depression Anxiety Stress Scale (DASS). Mediation and moderation models were then tested using the PROCESS macro in SPSS, with burnout being a mediator and resilience playing a moderating role in the relationship between WFC and anxiety/depression.

RESULTS

A total of 472 correctional officers were included. Burnout was found to mediate the relationship between WFC and anxiety (b = 0.14, 95%CI [0.10, 0.19]) and the relationship between WFC and depression (b = 0.23, 95%CI [0.18, 0.28]). Additionally, resilience played a moderating role in the direct effect of WFC on anxiety (b = - 0.02, p < 0.01) and the first half of the indirect effect of WFC on anxiety (b = - 0.007, p < 0.05). Furthermore, resilience was also found to moderate the first half of the indirect effect of WFC on depression (b = - 0.02, p < 0.01), but not the direct effect of WFC on depression (b = - 0.005, p > 0.05).

CONCLUSION

The findings of the present study may improve our understanding by elucidating the fundamental mechanisms of the connection between WFC and psychological distress among correctional officers. The results have significant implications for policymakers and individuals, as they suggest that diverse interventions may help promote the mental well-being of correctional officers.

Disability risk prediction model based on machine learning among Chinese healthy older adults: results from the China Health and Retirement Longitudinal Study

Background

Predicting disability risk in healthy older adults in China is essential for timely preventive interventions, improving their quality of life, and providing scientific evidence for disability prevention. Therefore, developing a machine learning model capable of evaluating disability risk based on longitudinal research data is crucial.

Methods

We conducted a prospective cohort study of 2,175 older adults enrolled in the China Health and Retirement Longitudinal Study (CHARLS) between 2015 and 2018 to develop and validate this prediction model. Several machine learning algorithms (logistic regression, k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, and XGBoost) were used to assess the 3-year risk of developing disability. The optimal cutoff points and adjustment parameters are explored in the training set, the prediction accuracy of the models is compared in the testing set, and the best-performing models are further interpreted.

Results

During a 3-year follow-up period, a total of 505 (23.22%) healthy older adult individuals developed disabilities. Among the 43 features examined, the LASSO regression identified 11 features as significant for model establishment. When comparing six different machine learning models on the testing set, the XGBoost model demonstrated the best performance across various evaluation metrics, including the highest area under the ROC curve (0.803), accuracy (0.757), sensitivity (0.790), and F1 score (0.789), while its specificity was 0.712. The decision curve analysis (DCA) indicated showed that XGBoost had the highest net benefit in most of the threshold ranges. Based on the importance of features determined by SHAP (model interpretation method), the top five important features were identified as right-hand grip strength, depressive symptoms, marital status, respiratory function, and age. Moreover, the SHAP summary plot was used to illustrate the positive or negative effects attributed to the features influenced by XGBoost. The SHAP dependence plot explained how individual features affected the output of the predictive model.

Conclusion

Machine learning-based prediction models can accurately evaluate the likelihood of disability in healthy older adults over a period of 3 years. A combination of XGBoost and SHAP can provide clear explanations for personalized risk prediction and offer a more intuitive understanding of the effect of key features in the model.

Gastrointestinal manifestations of long-term effects after COVID-19 infection in patients with dialysis or kidney transplantation: An observational cohort study

BACKGROUND

Prolonged symptoms after corona virus disease 2019 (Long-COVID) in dialysis-dependent patients and kidney transplant (KT) recipients are important as a possible risk factor for organ dysfunctions, especially gastrointestinal (GI) problems, during immunosuppressive therapy.

AIM

To identify the characteristics of GI manifestations of Long-COVID in patients with dialysis-dependent or KT status.

METHODS

This observational, prospective study included patients with COVID-19 infection, confirmed by reverse transcription polymerase chain reaction, with the onset of symptoms between 1 January 2022 and 31 July 2022 which was explored at 3 mo after the onset, either through the out-patient follow-up or by telephone interviews.

RESULTS

The 645 eligible participants consisted of 588 cases with hemodialysis (HD), 38 patients with peritoneal dialysis (PD), and 19 KT recipients who were hospitalized with COVID-19 infection during the observation. Of these, 577 (89.5%) cases agreed to the interviews, while 64 (10.9%) patients with HD and 4 (10.5%) cases of PD were excluded. The mean age was 52 ± 11 years with 52% women. The median dialysis duration was 7 ± 3 and 5 ± 1 years for HD and PD groups, respectively, and the median time post-transplantation was 6 ± 2 years. Long-COVID was identified in 293/524 (56%) and 21/34 (62%) in HD and PD, respectively, and 7/19 (37%) KT recipients. Fatigue was the most prevalent (96%) of the non-GI tract symptoms, whereas anorexia (90.9%), loss of taste (64.4%), and abdominal pain (62.5%) were the first three common GI manifestations of Long-COVID. Notably, there were 6 cases of mesenteric panniculitis from 19 patients with GI symptoms in the KT group.

CONCLUSION

Different from patients with non-chronic kidney disease, there was a high prevalence of GI manifestations of Long-COVID in dialysis-dependent patients and KT recipients. An appropriate long-term follow-up in these vulnerable populations after COVID-19 infection is possibly necessary.

COVID-19 pandemic in the intensive care unit: Psychological implications and interventions, a systematic review

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic produced changes in intensive care units (ICUs) in patient care and health organizations. The pandemic event increased patients’ risk of developing psychological symptoms during and after hospitalisation. These consequences also affected those family members who could not access the hospital. In addition, the initial lack of knowledge about the virus and its management, the climate of fear and uncertainty, the increased workload and the risk of becoming infected and being contagious, had a strong impact on healthcare staff and organizations. This highlighted the importance of interventions aimed at providing psychological support to ICUs, involving patients, their relatives, and the staff; this might involve the reorganisation of the daily routine and rearrangement of ICU staff duties.

AIM

To conduct a systematic review of psychological issues in ICUs during the COVID-19 pandemic involving patients, their relatives, and ICU staff.

METHODS

We investigated the PubMed and the ClinicalTrials.gov databases and found 65 eligible articles, upon which we commented.

RESULTS

Our results point to increased perceived stress and psychological distress in staff, patients and their relatives and increased worry for being infected with severe acute respiratory syndrome coronavirus-2 in patients and relatives. Furthermore, promising results were obtained for some psychological programmes aiming at improving psychological measures in all ICU categories.

CONCLUSION

As the pandemic limited direct inter-individual interactions, the role of interventions using digital tools and virtual reality is becoming increasingly important. All considered, our results indicate an essential role for psychologists in ICUs.

Predictive Modeling of Stress in the Healthcare Industry During COVID-19

There was a substantial medicine shortage and an increase in morbidity due to the second wave of the COVID-19 pandemic in India. This pandemic has also had a drastic impact on healthcare professionals' psychological health as they were surrounded by suffering, death, and isolation. Healthcare practitioners in North India were sent a self-administered questionnaire based on the COVID-19 Stress Scale (N = 436) from March to May 2021. With 10-fold cross-validation, extreme gradient boosting (XGBoost) was used to predict the individual stress levels. XGBoost classifier was applied, and classification accuracy was 88%. The results of this research show that approximately 52.6% of healthcare specialists in the dataset exceed the severe psychiatric morbidity standards. Further, to determine which attribute had a significant impact on stress prediction, advanced techniques (SHAP values), and tree explainer were applied. The two most significant stress predictors were found to be medicine shortage and trouble in concentrating.

The Role of Spirituality and Religiosity in Healthcare During the COVID-19 Pandemic: An Integrative Review of the Scientific Literature

The pandemic caused by the new coronavirus SARS-CoV-2 has been affecting populations globally since the end of 2019. Previous studies have indicated that spirituality in these times of crisis serves as a source of hope and well-being that helps people get through the day. This study investigated the role of spirituality and religiosity in healthcare during the COVID-19 pandemic. An integrative review of the scientific literature available on PubMed, Scopus, and Web of Science databases and a review of the gray literature in the Information System on Gray Literature in Europe (OpenGrey) were carried out. From a total of 1,338 articles searched; 25 articles were included in this review (22 quantitative observational, 2 qualitative and one randomized controlled trial). Our findings revealed the importance of including spirituality in clinical practice for both health professionals and patients. On the one hand, spirituality can be considered a good coping strategy used by healthcare professionals to promote mental health and well-being during the COVID-19 pandemic and resulting in greater patient satisfaction with the care given. On the other hand, addressing spiritual needs of individuals leads to a reduction in stress, anxiety, depression, and an increase in resilience and hope among patients.