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Studying the psychology of coping negative emotions during COVID-19: a quantitative analysis from India
Environmental Science and Pollution Research Pub Date : 2021-09-16 , DOI: 10.1007/s11356-021-16002-x
Vishal Pandey 1 , Amogh Talan 2 , Mandeep Mahendru 3, 4 , Umer Shahzad 5
Affiliation  

The outbreak of the COVID-19 virus adversely affected the material and mental well-being of the infected individuals and their families. The poor health system combined with lack of fear of infection has created significant negative health effects for people. The present research consider the notable models of coping with negative emotions, including ‘3Cs’ and ‘direct action and palliation approach’. With the observation method’s help, a detailed perspective was found on people’s coping processes, categorized as psychological, control, coherence, and connectedness coping. The present study considers the notable models of dealing with negative feelings, including ‘3Cs’ and ‘direct intervention and palliation strategy’. With the observation method’s support, a detailed viewpoint was found on people’s coping mechanisms, categorized as neurological, regulation, coherence, and connectedness coping. Using the ANOVA and t-tests, a significant augmentation in people’s negative emotions was found since the beginning of the pandemic. Using GMM regression technique, ‘avoidance’, ‘proactive preparedness’, ‘emotional resilience’, ‘entertainment’, and ‘spiritualism’ were highly significant techniques in curbing the negative emotions during the COVID-19 pandemic. Meanwhile, the LOGIT regression found cumulative negative emotions and emotions about negative career outlooks to be the most significant to bring negative emotions to normalcy. The study suggests that policymakers design a national-level strategy to strengthen the mental health systems to boost mental well-being.



中文翻译:

研究 COVID-19 期间应对负面情绪的心理:来自印度的定量分析

COVID-19 病毒的爆发对感染者及其家人的物质和精神健康造成了不利影响。糟糕的卫生系统加上对感染的恐惧对人们的健康造成了严重的负面影响。目前的研究考虑了应对负面情绪的著名模型,包括“3C”和“直接行动和缓解方法”。在观察方法的帮助下,人们的应对过程得到了一个详细的视角,分为心理、控制、连贯和联系应对。本研究考虑了处理负面情绪的著名模型,包括“3C”和“直接干预和缓解策略”。在观察方法的支持下,对人们的应对机制找到了详细的观点,分类为神经,调节、连贯性和连通性应对。使用方差分析和 t 检验,发现自大流行开始以来人们的负面情绪显着增加。使用 GMM 回归技术,“回避”、“主动准备”、“情绪弹性”、“娱乐”和“招魂术”是在 COVID-19 大流行期间抑制负面情绪的非常重要的技术。同时,LOGIT 回归发现累积的负面情绪和关于负面职业前景的情绪是使负面情绪恢复正常的最重要因素。该研究表明,政策制定者应设计一项国家级战略来加强心理健康系统,以促进心理健康。自大流行开始以来,人们的负面情绪显着增加。使用 GMM 回归技术,“回避”、“主动准备”、“情绪弹性”、“娱乐”和“招魂术”是在 COVID-19 大流行期间抑制负面情绪的非常重要的技术。同时,LOGIT 回归发现累积的负面情绪和关于负面职业前景的情绪是使负面情绪恢复正常的最重要因素。该研究表明,政策制定者应设计一项国家级战略来加强心理健康系统,以促进心理健康。自大流行开始以来,人们的负面情绪显着增加。使用 GMM 回归技术,“回避”、“主动准备”、“情绪弹性”、“娱乐”和“招魂术”是在 COVID-19 大流行期间抑制负面情绪的非常重要的技术。同时,LOGIT 回归发现累积的负面情绪和关于负面职业前景的情绪是使负面情绪恢复正常的最重要因素。该研究表明,政策制定者应设计一项国家级战略来加强心理健康系统,以促进心理健康。和“招魂术”是在 COVID-19 大流行期间抑制负面情绪的非常重要的技术。同时,LOGIT 回归发现累积的负面情绪和关于负面职业前景的情绪是使负面情绪恢复正常的最重要因素。该研究表明,政策制定者应设计一项国家级战略来加强心理健康系统,以促进心理健康。和“招魂术”是在 COVID-19 大流行期间抑制负面情绪的非常重要的技术。同时,LOGIT 回归发现累积的负面情绪和关于负面职业前景的情绪是使负面情绪恢复正常的最重要因素。该研究表明,政策制定者应设计一项国家级战略来加强心理健康系统,以促进心理健康。

更新日期:2021-09-17
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