Sapna S Mishra, Hritik Gupta, Tapan K Gandhi, Bharat B Biswal
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Chi-square analysis revealed that both the groups differ significantly from each other in terms of self-reported major symptoms experienced (MSEs) (<i>p</i> < 0.001) and major life spheres being affected by fatigue (MLSA) (<i>p</i> = 0.008). Further, in Study 2, we explore predictive models for these symptoms as reported by 57 of the CRIs (15 Females; 31.28 ± 10.50 years) using logistic regression and receiver operator characteristic (ROCs) information, with unrefreshing sleep, hospitalization status, and sex as the predictors for LCS. Statistical analysis reveals unrefreshing sleep as an important predictor of attention issues (odds ratio (OR) = 6.25, <i>p</i> = 0.003), anxiety issues (OR = 7.75, <i>p</i> = 0.018), and fatigue (OR = 5.83, <i>p</i> = 0.018) but was found non-significant for memory issues (OR = 1.86, <i>p</i> = 0.513) among CRIs. Hospitalization status and sex were not found to significantly affect these reported symptoms.</p>","PeriodicalId":54535,"journal":{"name":"Psychology Health & Medicine","volume":" ","pages":"1-16"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Psychological symptoms and risk factors associated with long COVID: a study on the Indian cohort.\",\"authors\":\"Sapna S Mishra, Hritik Gupta, Tapan K Gandhi, Bharat B Biswal\",\"doi\":\"10.1080/13548506.2025.2496831\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The long-term neurological effects of COVID-19, such as lack of concentration, loss of memory, and anxiety, present major concerns for COVID-19 Recovered Individuals (CRIs). Our study aims at understanding these long-term COVID-19 symptoms (LCS) and associated risk factors among the Indian cohort. In this two-part study, we analyze self-reported symptom information such as fatigue in different life spheres, symptoms experienced in past months, hospitalization status, and sex of Healthy Controls (HCs) and CRIs. In Study 1, we compare the symptoms of 62 CRIs (16 Females; 30.60 ± 10.34 years) with 36 hCs (11 Females; 27.53 ± 7.3 years). Chi-square analysis revealed that both the groups differ significantly from each other in terms of self-reported major symptoms experienced (MSEs) (<i>p</i> < 0.001) and major life spheres being affected by fatigue (MLSA) (<i>p</i> = 0.008). Further, in Study 2, we explore predictive models for these symptoms as reported by 57 of the CRIs (15 Females; 31.28 ± 10.50 years) using logistic regression and receiver operator characteristic (ROCs) information, with unrefreshing sleep, hospitalization status, and sex as the predictors for LCS. 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引用次数: 0
摘要
COVID-19的长期神经系统影响,如注意力不集中、记忆力丧失和焦虑,是COVID-19康复个体(cri)关注的主要问题。我们的研究旨在了解印度队列中的这些长期COVID-19症状(LCS)和相关危险因素。在这个由两部分组成的研究中,我们分析了自我报告的症状信息,如不同生活领域的疲劳、过去几个月的症状、住院情况和健康对照组(hc)和cri的性别。在研究1中,我们比较了62例cri的症状(16例女性;30.60±10.34岁),36例hcc(女性11例;(27.53±7.3岁)。卡方分析显示,两组在自我报告的经历过的主要症状(MSEs)方面存在显著差异(p p = 0.008)。此外,在研究2中,我们探索了57名cri报告的这些症状的预测模型(15名女性;(31.28±10.50)岁),采用logistic回归和roc信息,以不清醒睡眠、住院情况和性别作为LCS的预测因素。统计分析显示,不清醒的睡眠是cri中注意力问题(比值比(OR) = 6.25, p = 0.003)、焦虑问题(OR = 7.75, p = 0.018)和疲劳问题(OR = 5.83, p = 0.018)的重要预测因子,但对记忆问题(OR = 1.86, p = 0.513)的影响不显著。没有发现住院状况和性别对这些报告的症状有显著影响。
Psychological symptoms and risk factors associated with long COVID: a study on the Indian cohort.
The long-term neurological effects of COVID-19, such as lack of concentration, loss of memory, and anxiety, present major concerns for COVID-19 Recovered Individuals (CRIs). Our study aims at understanding these long-term COVID-19 symptoms (LCS) and associated risk factors among the Indian cohort. In this two-part study, we analyze self-reported symptom information such as fatigue in different life spheres, symptoms experienced in past months, hospitalization status, and sex of Healthy Controls (HCs) and CRIs. In Study 1, we compare the symptoms of 62 CRIs (16 Females; 30.60 ± 10.34 years) with 36 hCs (11 Females; 27.53 ± 7.3 years). Chi-square analysis revealed that both the groups differ significantly from each other in terms of self-reported major symptoms experienced (MSEs) (p < 0.001) and major life spheres being affected by fatigue (MLSA) (p = 0.008). Further, in Study 2, we explore predictive models for these symptoms as reported by 57 of the CRIs (15 Females; 31.28 ± 10.50 years) using logistic regression and receiver operator characteristic (ROCs) information, with unrefreshing sleep, hospitalization status, and sex as the predictors for LCS. Statistical analysis reveals unrefreshing sleep as an important predictor of attention issues (odds ratio (OR) = 6.25, p = 0.003), anxiety issues (OR = 7.75, p = 0.018), and fatigue (OR = 5.83, p = 0.018) but was found non-significant for memory issues (OR = 1.86, p = 0.513) among CRIs. Hospitalization status and sex were not found to significantly affect these reported symptoms.
期刊介绍:
Psychology, Health & Medicine is a multidisciplinary journal highlighting human factors in health. The journal provides a peer reviewed forum to report on issues of psychology and health in practice. This key publication reaches an international audience, highlighting the variation and similarities within different settings and exploring multiple health and illness issues from theoretical, practical and management perspectives. It provides a critical forum to examine the wide range of applied health and illness issues and how they incorporate psychological knowledge, understanding, theory and intervention. The journal reflects the growing recognition of psychosocial issues as they affect health planning, medical care, disease reaction, intervention, quality of life, adjustment adaptation and management.
For many years theoretical research was very distant from applied understanding. The emerging movement in health psychology, changes in medical care provision and training, and consumer awareness of health issues all contribute to a growing need for applied research. This journal focuses on practical applications of theory, research and experience and provides a bridge between academic knowledge, illness experience, wellbeing and health care practice.