ABSTRACT
Introduction: Few studies have explored the correlations between personality traits and mental health during the outbreak period of the COVID-19 pandemic. Students' academic success, interpersonal interactions, and propensity for mental illnesses are all impacted by their sleep quality. One of the recognised elements influencing a person's sleep design is their personality. Medical students' personality and academic success are both negatively impacted by poor sleep quality. Aim(s): The current research looked into the connection between personality traits and sleep quality among medical students in Post Covid-19 Pandemic Lockdown in Erode, Tamil Nadu. Material(s) and Method(s): 288 undergraduate medical students participated in a cross-sectional study that was performed on an institutional level. Structured questionnaires that were administered by interviewers were used to gather the data. Medical students learning in Erode had their personality and sleep quality evaluated using the NEO personality inventory (NEO-PI) and Pittsburgh Sleep Quality Index (PSQI). Result(s): 226 (78.5%) of the 288 medical students said they had poor sleep. The results of our study demonstrate a significant correlation between neuroticism and the global PSQI score (P< 0.05). Students who slept poorly scored more highly on the neuroticism scale. The findings show that, among students during the COVID-19 outbreak, personality characteristics were risk factors for psychological disorders. Our findings might serve as a guide for those conducting psychological disorder screenings. Conclusion(s): In the Post Covid-19 Pandemic Lockdown, medical students who don't get enough sleep become neurotic. Medical students' mental health and academic success are impacted by COVID-19. The findings show that, among students during the COVID-19 outbreak, personality characteristics were risk factors for psychological disorders. Future research on these personality traits may help to better understand how sleep disorders affect academic achievement.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.
ABSTRACT
Background: The fear of COVID-19 has become a social problem during the pandemic. Fear is a reaction that has the power to impact many aspects of one's life and health. There have been severe physical, social, behavioural, and psychological effects connected to fear during the Covid-19 pandemic. Aim and Objectives: The present study to find out the prevalence of fear of COVID-19 among members of the general public and examines various factors associated with the fear of COVID-19. Methodology: Data were gathered from cross-sectional population-based studies conducted in June to July 2021 with adults from Tamilnadu from south India. The Fear of Covid-19 scale was used to evaluate fear of Covid19. Exposure variables were socioeconomic, demographic, health and pandemic-related factors. Result(s): A total of 937 subjects were assessed. Higher fear of Covid-19 was found among 69.48% (651) of young adults. The mean score of fear on the Covid-19 scale was 16.91+/- 6.90., 40.34% & 7.36% of them having moderate & high level of fear score respectively. Family member who died due to Covid19 infections are having more fear than others (p<0.05). Conclusion(s): Greater fear of the COVID-19 among the young adults in Tamilnadu, south Indian suggests that during unprecedented times such as the current pandemic, the psychological needs of younger adults should be prioritized. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
ABSTRACT
The COVID-19 pandemic has forced the public health authorities to impose a lockdown as an epidemiological containment strategy. Due to COVID-19, the world is facing an unprecedented challenge that has changed people's lifestyles. This study aimed to evaluate how the COVID-19 pandemic lockdown affected students in Tamilnadu in terms of changes to their eating habits, sleeping patterns, and level of physical activity. A cross-sectional study was conducted using a random representative sample of 263 undergraduate students (mean age 19.63+ 1.86 years, males 33.46%) from Tamilnadu voluntarily filling out an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) and The International Physical Activity Questionnaires, Eating Attitude Test (EAT-26) were used to assess sleep quality, Physical Activity, and Eating Attitude disorder, respectively. The prevalence of poor sleep quality among participants was 43.3% (males: 44.32% and females: 42.86%). The mean score of the participants' EAT-26 score was found to be 10.92 +/- 8.63. Students' high body weight and BMI risk factors for eating disorders (chi(2)=9.68 p=0.02, chi(2)=9.59 p=0.02). 46% of students did not do any physical activity. There is no significant correlation between sleep and Eating attitude scores (p=0.21). 66.16% of participants experienced Psychological stress due to lock down. Findings from this study indicate that a lockdown period due to COVID-19 negatively impacted young undergraduate adults' physical activity levels and sleep quality. Finally, body weight, BMI, monthly family income, and poor physical activity with excess eating during the COVID 19 lockdown were the common exposures that are significantly associated with a higher risk of developing sleep disturbances and eating disorders. Several efficient strategies, programs, and coordinated efforts must be rigorously executed to encourage a seamless transition between school and daily life.
ABSTRACT
Background: All government and private educational institutions around the world have adopted online learning. There are a few advantages and disadvantages of this online learning. There are different level groups of students and instructors in the educational system. Objectives: To investigate the advantages and disadvantages of online learning among the various groups of undergraduate students. To statistically analyze the response obtained from the students to identify the significant and non-significant variables related to online learning.
ABSTRACT
In recent years, one of the largest causes of death in human beings is liver tumor and cancer. In the current scenario, identifying the cancer tumor manually is very difficult and takes a lot of time as the world is battling with COVID-19. The doctors and physicians are busy in serving and curing them. To predict the stage of liver tumor and plan the treatment, the segmentation is done from CT scanned images. In this research, two-stage automatic liver segmentation and tumor identification framework using a fully connected convolutional neural network (FC-CNN) model is proposed. During the first stage, the liver region is segmented using level set method from the preprocessed (OTSU thresholding) CT images. The features are extracted and utilized to detect the liver tumor in the second stage. The developed FC-CNN is trained and tested using the extracted second order statistical textural features to classify the tumor affected and normal image. The proposed FC-CNN model is trained and tested with 3D-IRCADb-01 and Kaggle datasets. The tested results prove that the proposed FC-CNN model outperforms other reported methods. From the performance analysis, it is observed that it achieves a good accuracy and sensitivity rate of 99.11% and 98.10%, respectively. © 2022 John Wiley & Sons, Ltd.
ABSTRACT
Introduction: The new Coronavirus Disease 2019 (COVID-19) has put a strain on healthcare workers, and the virus offers major personal and professional threats. Mental health has been affected by the COVID-19 epidemic, causing them to be fear of becoming sick. During the COVID-19 pandemic, health care professionals have been psychologically impacted including fear, anxiety, and depression. Aim: To determine the level of COVID-19 fear among hospital nurses in tertiary hospital care hospital, Erode dristrict, Tamil Nadu. Materials and Methods: This cross-sectional survey study was conducted among employees of Government Erode Medical College Hospital and nearby Hospitals in Erode district, Tamil Nadu, India, from July 2020 to August 2020, to evaluated the fear of COVID-19 using the Fear of COVID-19 Scale (FCV-19S). It used a self-administered questionnaire (online Google form survey). It consisted of two parts, first was socio-demographic details and second was fear of COVID-19 Scale (FCV-19S). The inclusion criteria of participants were all staff nurses working in COVID-19 ward, for minimum of three months in Erode district and willingness to participate. One-way Analysis of Variance (ANOVA) F-test and student Independent t-test analysis was performed to examine the relationship between demographic characteristics and fear levels. results: The study included a total of 277 staff nurses. The participant's mean age was 32.25±6.45 years, with females accounting for 93.5% of the total. The scale's internal reliability was excellent, with a Cronbach's alpha of 0.902. Overall, the mean COVID-19 fear score was (59.3%) 20.8 out of 35. The maximum fear score was for the statement "I am most afraid of Corona" (65%) and the minimum fear score was for "I cannot sleep because I am worried about getting Corona" (51.8%). Fear levels were higher in females (p-value=0.02), overweight people (p-value=0.001), those living in joint families (p-value=0.01), married individuals (p-value=0.03), participants with two children (p-value=0.001), and Primary Healthcare Center (PHC) staff (p-value=0.001). conclusion: The survey found a high level of fear in staff nurses who work in COVID-19 wards. Steps must be taken to preserve their health, by providing adequate resources to relieve their worries and anxiety, enabling them to carry out their frontline duties in the face of the COVID-19 epidemic.
ABSTRACT
Medical students have found distance learning to be a difficult challenge as a result of the coronavirus disease 2019 (COVID-19) pandemic. This study investigated the correlation between academic performance, sleep quality, and burnout among Medical students who participated in distance learning during the COVID-19 pandemic. The study included 154 Medical students at Government Erode Medical College in Tamilnadu, data were collected in June 2021. The survey was conducted using a Google Forms containing informed consent along with Demographic Details, self-rated sleep quality, academic performance, and The Maslach Burnout Inventory –Student Survey burnout questionnaire. Correlation between academic performances, sleep quality, Emotional Exhaustion, Cynicism, and Academic Efficacy was analyzed using Karl Pearson correlation method. 18% of students experienced severe burnout during distance learning. 60% of students don’t like online classes. More than 60 % internal mark scored students (P=0.02) are having significantly high Academic Efficacy Scores. Cronbach’s Alpha is 0.7498. Distance learning was reported a significant negative impact on their academic performance. To develop a favourable learning environment for medical students, medical instructors should consider creative learning methodologies.
ABSTRACT
Coronavirus disease 2019 (COVID-19) is an emerging respiratory infection caused by a novel corona virus called Severe Acute Respiratory Syndrome corona virus 2 (SARS-CoV-2). The symptoms of COVID-19 illness range from very mild fever and cough to severe pneumonia, severe acute respiratory syndrome with a mortality rate around 4%. Assessment of the knowledge and information sources of COVID-19 infection among adults. A total of 560 participants were included in the study, with a gender ratio of 3:1 (females: males). 55.5% of people Age between 30-40 Years, 64% of school educated, 70.6% of unskilled workers and 66.7% Upper Class people are having Inadequate knowledge about Covid 19. Association of knowledge with age (p<0.05) educational qualification (p<0.01), employment status and monthly family income (p<0.001) are significant. Policymakers must implement strategies to keep the common people informed about the emerging public health emergencies. People should be properly guided to use reliable sources of information such as government websites and scientific literature for up-to-date information.