The ever-debated question of triage and allocating the life-saving ventilator during the COVID-19 pandemic has been repeatedly raised and challenged within the ethical community after shortages propelled doctors before life and death decisions. The British Medical Association’s ethical guidance highlighted the possibility of an initial surge of patients that would outstrip the health system’s ability to deliver care “to existing standards,” where utilitarian measures have to be applied, and triage decisions need to maximize “overall benefit” In these emergency circumstances, triage (...) that “grades according to their needs and the probable outcomes of intervention” will prioritize or eliminate patients for treatment, and health professionals may be faced with obligations to withhold or withdraw treatments to some patients in favour of others. This piece is a response and extension to articles published on the manner of involvement for ethics and ethicists in pandemic triage decisions, particularly examining the ability and necessity of establishing triage committees to ameliorate scarce allocation decisions for physicians. (shrink)
Tian dao guan shi Zhongguo zhe xue de zhong yao gai nian, ye shi ru jiao de yi ge zhong yao wen ti, ji, shen me shi tian dao? Qi jin wei zhi, ji hu suo you de Zhongguo zhe xue zhu zuo, dou ren wei tian dao jiu shi zi ran gui lü. Ben shu jiang tong guo wen xian zi liao xiang dang dai de du zhe shuo ming, Zhongguo gu dai de tian (...) dao, jiu shi tian zhi dao, shang tian zhi dao. (shrink)
Understanding and solving the psychological health problems of college students have become a focus of social attention. Complex networks have become important tools to study the factors affecting psychological health, and the Gaussian graphical model is often used to estimate psychological networks. However, previous studies leave some gaps to overcome, including the following aspects. When studying networks of subpopulations, the estimation neglects the intrinsic relationships among subpopulations, leading to a large difference between the estimated network and the real network. Because (...) of the high cost, previous psychological surveys often have a small sample size, and the psychological description is insufficient. Here, the intrinsic connections among multiple tasks are used, and multitask machine learning is applied to develop a multitask Gaussian graphical model. The psychological networks of the population and subpopulations are estimated based on psychological questionnaire data. This study is the first to apply a psychological network to such a large-scale college student psychological analysis, and we obtain some interesting results. The model presented here is a dynamic model based on complex networks which predicts individual behavior and provides insight into the intrinsic links among various symptoms. (shrink)
Using Bakhtin's notion of polyphony, this study explored the discussion of the end-of-life issues in the Course on Life and Death Education in one Chinese university. Ethnographic methods were adopted to investigate the collision between the classroom voices and the voices of the mainstream culture on end-of-life in the process of developing students' attitudes toward death. The findings revealed that “to understand death” involved challenging the voice of “strangeness and fear of death”; “honestly facing up to and accepting the feelings (...) of the fear, pain, and helplessness” was the response to “be brave”; and the goal “to die peacefully” resisted the notion of “extending life at any cost.” Through the collision between these voices, students developed their attitudes toward death in facing, understanding, accepting, and choosing how to die. The analysis further revealed that providing only one “answer” to death by the teacher is not sufficient or effective to foster students' attitudes toward death because the students are a diverse group holding different views on the end-of-life issues, which demonstrated the importance of creating dialogues in the life and death education. (shrink)
PurposeThe aims of the study were first to investigate the association between illness perception and psychological distress and second to determine whether mindfulness affects psychological distress via illness perception and perceived stress in patients with lung cancer.MethodsAmong 300 patients with lung cancer who participated in this cross-sectional study, 295 patients made valid responses to distress thermometer, the Five Facet Mindfulness Questionnaire, the Brief Illness Perception Questionnaire, and the Perceived Stress Scale between January and July 2021. The possible pathways of mindfulness (...) affecting psychological distress were analyzed based on the structural equation modeling analysis.ResultsA total of 24.4% patients with lung cancer had DT > 4. Illness perception and perceived stress had a direct effect on psychological distress. Mindfulness had a direct effect on illness perception and mindfulness indirectly influenced psychological distress through affecting illness perception alone or simultaneously affecting both the illness perception and perceived stress in patients with lung cancer.ConclusionLung cancer suffered from varying levels of psychological distress. Mindfulness may alleviate psychological distress by reducing the level of illness perception and perceived stress. We suggest developing a comprehensive factor model to clarify potential mechanisms of mindfulness on psychological distress due to the very low effect of mindfulness on psychological distress via illness perception and perceived stress. (shrink)
ObjectiveThe impact of the mindfulness-based stress reduction program on psychological outcomes and quality of life in lung cancer patients remains unclear. This meta-analysis aimed to evaluate the effectiveness of the MBSR program on psychological states and QoL in lung cancer patients.MethodsEligible studies published before November 2021 were systematically searched from PubMed, EMBASE, Cochrane Library, PsycINFO, China National Knowledge Infrastructure, and Wanfang databases. The risk of bias in eligible studies was assessed using the Cochrane tool. Psychological variables and QoL were evaluated (...) as outcomes. We used the Grading of Recommendations Assessment, Development and Evaluation system to grade the levels of evidence. Statistical analysis was conducted using RevMan 5.4 and STATA 14.0.ResultsA total of 17 studies involving 1,680 patients were included for meta-analysis eventually. MBSR program significantly relieved cancer-related fatigue and negative psychological states, enhanced positive psychological states, and improved quality of sleep. Evidence on MBSR programs' overall treatment effect for QoL revealed a trend toward statistical significance.ConclusionBased on our findings, the MBSR program shows positive effects on psychological states in lung cancer patients. This approach should be recommended as a part of the rehabilitation program for lung cancer patients.Systematic Review Registrationhttps://archive.org/details/osf-registrations-mwvbq-v1, identifier: 10.17605/OSF.IO/MWVBQ. (shrink)
This study aims to explore the current situation and strategy formulation of sports psychology teaching in colleges and universities following adaptive learning and deep learning under information education. The informatization in physical education, teaching methods, and teaching processes make psychological education more scientific and efficient. First, the relevant theories of adaptive learning and deep learning are introduced, and an adaptive learning analysis model is implemented. Second, based on the deep learning automatic encoder, college students’ sports psychology is investigated and the (...) test results are predicted. Finally, the current situation and development strategy of physical education in colleges and universities are analyzed. The results show that when the learning rate is 1, 0.1, and 0.01, there is no significant change in the analysis factors of recall, ndcg, item_coverage, and sps. When the learning rate is 1, their analysis factors change obviously, and it is calculated that the optimal learning rate of the model is 1. And the difficulty of the recommended test questions by using the sports psychology teaching method based on adaptive learning and deep learning is relatively stable. The test questions include various language points of sports psychology. Compared with others methods, adaptive learning and deep learning can provide comprehensive test questions for sports psychology teaching. This study provides technical support for the reform of sports psychology teaching in colleges and universities and contributes to optimizing the information-based teaching mode. (shrink)
Background: Interpersonal sensitivity is a prominent mental health problem facing college students today. Trait mindfulness is a potential positive factor that may influence interpersonal relationships. However, the precise relationship between trait mindfulness and interpersonal sensitivity remains elusive, which limits the optimization and further application of mindfulness-based intervention schemes targeting interpersonal sensitivity. This study aimed to explore whether negative emotions mediate the relationship between trait mindfulness and interpersonal sensitivity and whether the relationship among trait mindfulness, negative emotions, and interpersonal sensitivity is (...) moderated by effectiveness/authenticity. We hypothesize that negative emotions mediate the relationship between trait mindfulness and interpersonal sensitivity, and effectiveness/authenticity moderates the indirect association between trait mindfulness and interpersonal sensitivity through negative emotions.Methods: One thousand four hundred nineteen Chinese college students, aged from 17 to 23, participated in this study. Their trait mindfulness, negative emotions, the effectiveness/authenticity, and interpersonal sensitivity were measured using well-validated self-report questionnaires.Results: Correlational analyses indicated that both trait mindfulness and effectiveness/authenticity were significantly and negatively associated with interpersonal sensitivity. Mediation analyses uncovered a partial mediating role of negative emotions in the relationship between trait mindfulness and interpersonal sensitivity. Moderated mediation analyses showed that in college students with high effectiveness/authenticity, the relationship between trait mindfulness and negative emotions was stronger, whereas the relationship between negative emotions and interpersonal sensitivity was weaker.Conclusion: Negative emotion is a mediator of the relationship between trait mindfulness and interpersonal sensitivity, which in turn is moderated by effectiveness/authenticity. These findings suggest a potential mechanism through which trait mindfulness influences interpersonal sensitivity. Mindfulness-based interventions have the potential to decrease interpersonal sensitivity and offer a basis for predicting individual differences in response to mindfulness-based interventions among individuals. (shrink)
