Covid Fear and Its Impact on Worry Assignment Sample

Introduction OfCovid Fear and Its Impact on Worry

Whether Covid Fear Continues To Predict Worry Intolerance Of Uncertainty And Impaired Sleep Among Ug Students After The Pandemic

The fear of covid is being evaluated in this assignment, different parameters are taken into consideration when the effect of the fear of covid is being evaluated. The parameters of uncertainty and impaired sleep amount the students are being evaluated with concerns to the fear of covid. The fear of covid has arisen since the pandemic, and the impact of the fear on the parameters is being evaluated in the software SPSS. Graphical and statistical methods are being employed to evaluate the impact of covid fear on the students' sleep. The impact of the factor of gender is also being kept as a key to evaluate effective matters of depression and problems of sleep that are being faced.

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Discussion

Covid-19 was the pandemic which is the most disastrous pandemic which was ever seen by the human race. The college and all the workstations were being shut and the world was moving through dark and gloomy days. The pandemic was faced in the form of several waves and the expectations and fears of the people gradually changed and raised with time. There were huge losses of life and this caused much panic in the society. The research is being done to evaluate the impact of the fears of covid on the factors that can harm the mental peace and sleep of the students at the undergraduate level. The effect of gender is also being evaluated and analysed in the software to find the impact of gender on the mental peace of the people (Dodsworth et al, 2021). The difference between the independent and the dependent variables from the research are being analysed and the impacts of the individual factors are presented in the form of data tables and curves to present the trend and to mark the parameters of the data. The use of statistical tests such as ANOVA is being used to evaluate the parameter of the data set. The single factor ANOVA is being used to statistically define the data and to statistically visualise the effect of the fears of the pandemic. The survey of the factors is being done to collect the responses which can be used to evaluate the curves of the data. The ANOVA test is being used to analyse these survey data that are collected extensively and to rank the fear of covid. The test of ANOVA techniques is being used to evaluate whether the fear of covid affects the uncertainty, the level of sleep, and the worry of the students. These are all essential parameters which are evaluated in the form of statistical graphs and curves. The effect of fear of covid factor has affected the uncertainty of the students and it is observed in the form of data trend that when the life of the students are uncertain, students don't feel motivated, the life of the students are said to be unorganized and the student is growing intolerable for the quality of life. The data table is used to evaluate the different parameters which are rising in the students because of the effect of fear of covid (Yuniardi et al, 2021). The factors that determine whether the students are motivated to take the medicines or if they are motivated to take a sound sleep or if they are facing sleep-related issues are all evaluated to check the effect of the fear of covid. The independent variables of the research that are being affected and are evaluated for the extent of the effect of covid fear or intolerance of uncertainty, the level of worry of the students and the sleep quality of the students. Then the effect of gender on these independent parameters of the minds of the students are also evaluated to predict and evaluate any probable influence of the factors of fear of covid or gender or ethnicity of the students.

Analysis

Effect of Covid Fear on Uncertainty

The uncertainty of the students are being impacted by the parameter of covid fear. The impact of the factor is very grave and dangerous for the students. The curve is being generated in the software which will evaluate the effect of the fear of covid on the parameter of the uncertainty of the students. The uncertainty of the students can give rise to the feelings of being stressed, powerless, anxious, and can make the students unmotivated in the present times. The opinion of the students can be changed as the avoid fear can prevent the students from having a firm individual opinion. The curve of uncertainty expresses the impact of the fear of covid on the data to show the stress and uneasiness and anxiety of the students is used to analyse the impact of the latter of the emotions of the students in times of uncertainty (Varghese, 2021). The curve to evaluate the impact of covid fear on the vulnerability and happiness of the students are always evaluated in the form of the curve. The trends are observed and evaluated, and it is also observed that the students have believed that the fear of covid has caused uncertainty of many students and the fear is high causing the students to feel that their lives are intolerable and due to this they have lost their lives to live a motivated and healthy life without the fear.

ANOVA
Sum of Squares	df	Mean Square	F	Sig.
Worry	Between Groups	8791.568	25	351.663	1.015	.491
Within Groups	7279.283	21	346.633
Total	16070.851	46
Uncertainty	Between Groups	14243.267	24	593.469	.892	.610
Within Groups	13977.450	21	665.593
Total	28220.717	45
Sleep	Between Groups	2790.438	25	111.618	2.700	.012
Within Groups	868.200	21	41.343
Total	3658.638	46

Table 1: One Way Anova of Covid Fear and Uncertainty

(Source: self-created in SPSS)

The rising of uncertainty of the students because of the fear of covid are being expressed in the form of data tables. The parameter of uncertainty is being evaluated with the help of the factors where the uncertainty level of the students are being evaluated from the answers obtained from the survey. The question of Uncertainty makes life intolerable, uncertainty makes the lives of people vulnerable and uncertainty makes life of students unhappy, anxious and unhappy. These factors are being evaluated with respect to degree of freedom, sum of squares and other factors which are useful to evaluate the effect of covid fear on the uncertainty of the students.

Effect of Covid fear on Worry

The effect of worry is being evaluated by a number of parameters which are evaluated with the help of the SPSS software. The data trends that are obtained are used to evaluate the impact of Covid fear on several parameters of worries. The students are under constant worry to make them safe from the covid. The survey record contains data of the level of worrying that is exhibited by the students. The students are worried highly, they are washing their hands and taking preventive measures in an active manner to protect themselves from the effects of covid. The students are constantly getting worried and are aware of the news that are regarding the covid situations. These activities express the level of worrying that is being expressed by the students of the undergraduate levels. The level of worry is such that the majority of the students have stocked all the essential materials to ensure the safety of the students from covid (Godoy et al, 2019). The impact of covid fear on worries is estimated to be high with the help of the analysis and the evaluation of the data using the ANOVA single-way technique of data evaluation. The students are further worried about the safety of their families too, the contact between people are eliminated to minimise the risks. The students are worried that the corona virus is more harmful and fatal than the seasonal flu faced by them, and these worries have caused them to worry more on the fears of covid. The students think that the government is not helping much to tackle covid, these rising fears of the covid situation has caused the students to think much more on the dangers which are not faced even and are harming the normal working of the students.

ANOVA
Sum of Squares	df	Mean Square	F	Sig.
Worry	Between Groups	8791.568	25	351.663	1.015	.491
Within Groups	7279.283	21	346.633
Total	16070.851	46
Uncertainty	Between Groups	14243.267	24	593.469	.892	.610
Within Groups	13977.450	21	665.593
Total	28220.717	45
Sleep	Between Groups	2790.438	25	111.618	2.700	.012
Within Groups	868.200	21	41.343
Total	3658.638	46

Table 2: ANOVA Test of Covid fear and Worries

(Source: self-created in SPSS)

The effect of covid fear on the worries of the students are being evaluated similarly using ANOVA test where a number of factors are taken in consideration which are evaluated in a collective manner. The factors where the students are so worried that they have stocked up materials to stay in quarantine, the students are very worried to keep themselves and their family members safe from the pandemic of covid. All the values of these question are being evaluated in the ANOVA test and the sum of squares, mean square, and degree of freedom of these parameters are being evaluated within the group, in between the groups and in total to evaluate and analyse the effect on fears of covid on the worries of the students.

Effect of Covid Fear on Sleep Quality

The situation of covid has raised the fears of the students at the undergraduate level. This fear of covid is responsible for a number of parameters. The lack of sleep is one of the parameters that is because of the fear of covid situations. The fear of covid has caused the degradation in the quality of the sleep. The funds are being evaluated in the SPSS software with the help of the data collected by survey (Li et al, 2021). The data are used to draw the curves using the data trends which have evaluated that the severity of the virus was taken in a very serious manner by the students. The students are very much worried about them and their family members and to make them safe from the widespread virus. The students are very uncertain of their activities that are to be done to ensure a healthy lifestyle in these times of pandemic. The mental peace of the students are being affected since the students are thinking too much to make them safe from the infection of the virus. The students are facing active issues of sleep because of the fears of covid which are affecting their quality of life in an active manner. The data of the survey and the evaluation of the data in the software using the one way ANOVA testing of the data has evaluated the different factors which have expressed that the students are facing highly by the fears of covid on the sleep quality of the students. It is evaluated that the students are facing heavy issues of sleep where the students are not getting long sleep or quality sleep. The students have rated that in the past months, their sleep quality has degraded, and the students have resorted to extreme measures such as taking caffeine and alcohol to get quality sleep. The students haven't even taken a nap in between the days and the use of medicines to get sleep is commonly being done by the students. Because the students are not getting enough and ample sleep in the nighttime because of the worries and uncertainties in the covid times, the students are feeling extremely sleepy in the times of day (Yang and Wang, 2023). The cases where sleep was not possible due to physical discomfort is less compared to the students which have avoided sleep because of the horrors of covid. The fears of covid have caused the students to face many traumas where the students have expressed that they are worrying on matters which are not to be worried of, they are thinking extensively on the dangers that can happen to them. These fears of the coming situations have also caused the students to lose sleep at night and the students have faced issues where their sleep was interrupted and they could not go back to sleep again after they woke up.

ANOVA
Sum of Squares	df	Mean Square	F	Sig.
Worry	Between Groups	8791.568	25	351.663	1.015	.491
Within Groups	7279.283	21	346.633
Total	16070.851	46
Uncertainty	Between Groups	14243.267	24	593.469	.892	.610
Within Groups	13977.450	21	665.593
Total	28220.717	45
Sleep	Between Groups	2790.438	25	111.618	2.700	.012
Within Groups	868.200	21	41.343
Total	3658.638	46

Table 3: ANOVA Table of Covid fear and the parameters of sleep quality

(Source: self-created in SPSS)

The data set that is being obtained from the survey is being evaluated in the SPSS software and the data table generated from the ANOVA test is being used to evaluate and analyse the effect of covid fear on the quality of sleep of the students. Different factors are kept in focus to evaluate the quality of sleep of the students. The factors such as whether the students are getting a quality and sound sleep at night, whether the students are feeling any difficulties when their sleeps are interrupted, whether the students are having issues in the daytime because of lack of sleep, whether the need of caffeine and alcohol is being seen in the students’ with lack of sleep. These factors are being evaluated and the ANOVA test is used to analyse the values of these parameters with respect to the mean squares, degree of freedom and sum of squares in between the groups, within the groups and in total to state the effect of covid fear on the quality of sleep obtained by the students.

Results

The different dependent and the independent variables of this research are being compared and correlated in the form of data tables and data visualizations. The different variables which are independent in this research are fear of covid, Gender of the students and the ethnicity of the students. The effect of gender is not much on the data and it is evaluated that the students living close and with other people are more susceptible for the infections of covid.

Descriptive Statistics
N	Minimum	Maximum	Mean	Std. Deviation
Covidfear	47	9.00	35.00	22.8936	7.09021
Worry	47	26.00	97.00	64.6383	18.69134
Uncertainty	46	40.00	140.00	91.6304	25.04250
Sleep	59	.00	46.00	23.2881	14.17994
What is your gender?	56	1	2	1.68	.471
Valid N (listwise)	46

Table 4: Table of Descriptive statistics

(Source: self-created in SPSS)

The descriptive statistics of the data set is being generated where the mean and standard deviation of the data is being calculated. The factors which are evaluated in this process are the independent variables of the assignment which are the uncertainty, worry, and quality of sleep and the fear of covid for the students. The mean and standard deviation is the highest for uncertainty. The mean is 91.6304 which denotes that the effect of covid fear is maximum in the case of uncertainty of students and this has caused the students to lose their mental peace and the students are being anxious, unhappy and loosing motivation to proceed in life. The students are not feeling a happy and healthy life style because of the rise in uncertainty. The times of covid are being evaluated and the times of covid have posed many constraints in the minds of the students. The fears of covid are there and the fears have caused serious damage to the mental peace for the students (Maleku et al, 2023). The students have faced uncertain times and there are many factors which have occurred in the students because of uncertainties faced by the students because of the fears of covid. The times of covid have caused the fears to make the students to think more on the issues that are harmful for their health and also for their family members. The students are facing issues where they are worrying about matters which are not to be worried about. The students are increasingly worrying on matters that are yet to happen and the students are conscious about their steps so that they don’t get infected from the pandemic (Bmcpsychiatry.biomedcentral.com (2019)). The data that is being collected by the use of surveys from the undergraduate children are being used to analyse and evaluate the trends that are obtained from the data sets.

The effect of fear of covid is also evaluated where it is obtained that the sleep quality is also getting affected by these fears of covid. The sleep of the students are degraded because of the constant worries from the uncertainties of covid pandemic times. These harmful effects due to the fears of covid times are evaluated in the form of curves and graphs and data sets that are generated when the high or low factors of the fears of covid are being analysed and visualised in the SPSS software (Duong, 2023). The data tables which contain the essential evaluation of the data parameters with the help of a one-way ANOVA test are being stored and used to analyse the independent and dependent variables and their relations in between them. The effects of the fears of covid are evaluated and analysed in the students of the undergraduate level and the effects are expressed in the form of curves and graphs, insights are being derived from these curves with the help of the software SPSS. The test of single way ANOVA is being conducted to evaluate the data and to rank the fear of covid which is ranked high in the case of students from the undergraduate levels.[Refer to appendix 2]

Conclusion

The assignment is done to evaluate the data that is being collected from the students in the undergraduate levels. The data are being evaluated to analyse the probable impact of horrors of covid in the minds of the students which have caused the rise of uncertainty and rise of worries in the minds of the students. These have been accused of the degradation of the quality of sleep for the people. Apart from fears of covid, the gender influence and the influence of ethnicity on the students and the fears of covid are also analysed and evaluated with the help of the survey data that is obtained. The impacts of fears of covid are evaluated on the students in the form of statistical curves and data tables of one-way ANOVA test.

References

Books

• Dodsworth, L., 2021.A state of fear: How the UK government weaponised fear during the Covid-19 pandemic. Pinter & Martin. Accessed from: https://onlinelibrary.wiley.com/doi/abs/10.1002/pa.2162[Accessed on 18.04.2023]

Journals

• Yuniardi, M.S., Cant, M. and Akhtar, H., 2021. INTOLERANCE OF UNCERTAINTY, ANXIETY AND DEPRESSION IN THE CONTEXT OF COVID-19 IN INDONESIA.Journal of Evidence-Based Psychotherapies,21(2).
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• Ta?ören, A.B. and BURHAN, S., 2022. The role of emotional distress in the relationship between COVID-19 burnout and academic burnout in university students.OPUS Journal of Society Research,19(46), pp.1-1.
• Malerba, A., Iannattone, S., Casano, G., Lauriola, M. and Bottesi, G., 2022. The Trap of the COVID-19 Pandemic: Italian Adolescents Fare Well at First, Maybe Thanks to Protective Trait Expression.Children,9(11), p.1631.
• Maleku, A., Kim, Y.K., Kirsch, J., Um, M.Y., Haran, H., Yu, M. and Moon, S.S., 2022. The hidden minority: Discrimination and mental health among international students in the US during the COVID?19 pandemic.Health & Social Care in the Community,30(5), pp.e2419-e2432.

Article

• Duong, C.D., 2021. The impact of fear and anxiety of Covid-19 on life satisfaction: Psychological distress and sleep disturbance as mediators.Personality and Individual Differences,178, p.110869. Accessed from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8251196/[Accessed on 18.04.2023]

Website

• Bmcpsychiatry.biomedcentral.com (2019). Prevalence and factors associated with insomnia among medical students in China during the COVID-19 pandemic: characterization and associated factors. [Accessed from 18.04.2023]