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Citations : 4829

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Research Article - ASEAN Journal of Psychiatry (2023)

A STUDY TO ASSESS THE LEVEL OF ANXIETY AMONG COVID-19 RECOVERED PATIENT IN COMMUNITY AREA

Department of Biochemistry, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India

*Corresponding Author:

Alfred Solomon D, Department of Biochemistry, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India, Email: Solomonalfred88@gmail.com

Received: 28-Sep-2022, Manuscript No. AJOPY-22-76165; Editor assigned: 30-Sep-2022, Pre QC No. AJOPY-22-76165 (PQ); Reviewed: 14-Oct-2022, QC No. AJOPY-22-76165; Revised: 03-Jan-2023, Manuscript No. AJOPY-22-76165 (R); Published: 10-Jan-2023, DOI: 10.54615/2231- 7805.47292

Abstract

A new strain of the coronavirus, SARS-CoV-2, was identified as the cause by the Chinese authorities and the World Health Organization (WHO). At the time, it was referred to as a coronavirus disease 2019 and is now commonly referred to as COVID-19. Gamil Ghaleb Alrubaiee and associates 2020) coronaviruses are a family of enveloped RNA viruses that get their name from the outer edge of their envelope proteins that look like crowns ('corona' in Latin). The purpose of this study was to determine how anxious COVID-19 recovered patients in a specific community area were. A quantitative strategy with a descriptive study design for the research. Purposive sampling is used to collect 50 samples from COVID-19 recovered patients for this study. The average anxiety score among COVID-19 recovered patients was 26.76, with a standard deviation of 5.76 and a minimum anxiety score of 13.0 and a maximum anxiety score of 40.0. In patients who had recovered from COVID-19, the analysis showed that none of the demographic variables had a statistically significant relationship with the level of anxiety. ASEAN Journal of Psychiatry, Vol. 24 (1) January, 2023; 1-8.

Keywords

At Madhuravoyal, COVID-19 Recovered Patients, Community Members, Level of Anxiety, Purposive Sampling

Introduction

On December 12, 2019, a cluster of pneumonia cases with no known origin or cause was reported in Wuhan, China. The majority of the 41 initial cases that were reported came from vendors and dealers working in the Wuhan human seafood market. A new strain of the coronavirus, SARS-CoV-2, was identified as the cause by the World Health Organization (WHO) and Chinese authorities [1-5]. At the time, it was referred to as a coronavirus disease 2019 and is now commonly referred to as COVID-19. Coronaviruses are a family of enveloped RNA viruses [6-10]. Their name comes from the outer edge of their envelope proteins, which look like crowns ('corona' in Latin).

SARS-CoV-2 initially spread rapidly within China before rapidly spreading to other nations worldwide [11-15]. On eleventh walk 2020, WHO pronounced the flare up of coronavirus as a worldwide pandemic? Over 28,329,790 people have contracted the virus since 12 September 2020, resulting in 911,877 deaths in 216 nations. Services and goods have been halted as a result of the lockdown that has been in effect in numerous regions of the world that are significant contributors to the global economy. This has caused a disruption in global supply chains, which has had a devastating impact on the global economy.

To cut down on people coming into contact with one another, the government issued a ban on public events that had more than 500 attendees in the outdoors and 100 or more at indoor events. To prevent the pandemic from spreading further, the government imposed a nationwide lockdown on March 27 for two weeks beginning on March 28.All other businesses and educationalestablishments remained closed with theexception of petrol stations and drug stores. Afurther week long extension was announced on April 16. Because COVID-19 is a new disease with the worst effects anywhere in the world, the public's confusion, anxiety, and fear are caused by its emergence and spread. Hatred and stigma thrive in environments of fear. As certain populations (Indians from the north-east) are targeted as the source of this outbreak, social stigma has developed. It is crucial to stay away from this disgrace as it can make individuals conceal their ailment and not look for medical services immediately. In order to assist people in managing fear, stigma, and discrimination during COVID-19, WHO is providing expert guidance and responses to public questions. As research into COVID-19 continues, a lot of the facts keep changing, and many myths regarding the infection's prevention and management are also prevalent in the general population. These myths and fake news about corona are also spreading quickly now that social media is so widely used. For some, these can sometimes be extremely upsetting. As a result, a number of websites, including WHO, are providing accurate information and busting myths. People are also being urged by governments not to share these messages without verifying their authenticity [16].

Literature Review

In addition to the possibility of infection and death, an epidemic places enormous psychological strain on individuals all over the world. The short and long term effects of epidemics on the social and psychological well being of the population have been the subject of numerous studies. Even after they have recovered, people who have been tested positive for a disease continue to face discrimination and social exclusion. “Longer quarantine duration, infection fears, frustration, limited supplies, insufficient communication, financial loss, and stigma” were among the psychological stressors experienced by those who were quarantined. Expect severe post-traumatic stress symptoms, confusion, and rage from COVID-19. Health anxiety is one of the most prevalent forms of anxiety [17]. It describes how people think and act about their health and how they perceive any health-related threats or concerns. Wellbeing nervousness is progressively conceptualized as existing on a range and as a versatile sign that assists with creating endurance situated ways of behaving. It also happens to almost everyone at some point in their lives, and when it happens too much, it can be quite harmful. On the extreme end of the spectrum is illness anxiety, also known as hypochondriasis. It affects a person's life when it causes them to misinterpret their somatic sensations, leading them to believe they have an underlying condition. Health anxiety is an important topic because both its increase and decrease can lead to problems. Health anxiety is a broad category that can range from high to low. Some people may avoid seeking medical attention at healthcare facilities in order to avoid contracting infections, for example, while others may exhibit higher levels of worry and checking behaviours and place a burden on healthcare facilities by making excessive visits (such as frequent visits that are not necessary). A lower level of health anxiety may result in lower compliance with pandemic control regulations. Every individual is impacted in varying ways by the social anxiety and concerns. Anxiety, rage, confusion, and symptoms of Post Traumatic Stress Disorder (PTSD) have all been linked to isolation and quarantine, according to recent research. It is anticipated that public knowledge and attitudes will have a significant impact on the level of compliance with personal protective measures and, ultimately, the clinical outcome. As a result, it is crucial to investigate these domains within the Indian population [18]. During this epidemic, mental health issues are another major health concern that is expected to get worse on a daily basis. During this pandemic, very little research has looked at the issues with mental health. It was intended to evaluate the community's knowledge, attitude, anxiety, and perceived mental healthcare needs during the coronavirus pandemic in India, taking into account the significance of each of the aforementioned aspects. High quality publications have been published as a result of our group's extensive research and knowledge (11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, and 24).

Materials and Methods

The quantitative exploration with engaging review research configuration was utilized in this review. The populace what all's identity is recuperated from Coronavirus patients at chose local area region was taken for this review. The people who met the inclusion criteria lived in the selected area, were available at the time of the study, were able to write or read in Tamil and English, and were willing to participate in this study.

Discussion

The people who met the exclusion criteria were unable to participate in this study because they did not know Tamil or English. There are 50 samples in total. Hamilton anxiety rating scale and demographic variables are the tools [19]. Assessment of the anxiety level of COVID-19 recovered patients over the course of six days is the purpose of this study [20].

Organization of the data

Section A: A description of the demographic characteristics of the COVID-19 recovered patients.

Section C: The relationship between various demographic variables and anxiety levels (Table 1).

The Table 1 shows that, most of the patients recovered from COVID-19 24 (48%) were aged more than 35 years, 28 (56%) were male, 35 (70%) were Hindus, 21 (42%) had higher secondary school, 17 (34%) were daily wages and private employees respectively, 29 (58%) were married, 28 (56%) were residing in urban area and 25 (50%) belonged to nuclear and joint family respectively (Figure 1 and Table 2).

Table 1. Frequency and percentage distribution of demographic variables of patients recovered from COVID-19.

Demographic variables No. %
Age
Below 18 years 5 10
18 to 35 years 21 42
More than 35 years 24 48
Sex
Male 28 56
Female 19 38
Others 3 6
Religion 
Hindu 35 70
Christian 4 8
Muslim 11 22
Others - -
Education
Primary school 19 38
Secondary school 10 20
Higher secondary school 21 42
Graduate - -
Occupation
Daily wages 17 34
Farmer 6 12
Private employee 17 34
Government employee 10 20
Marital status
Married 29 58
Unmarried 19 38
Divorced 2 4
Place of residence
Rural 14 28
Urban 28 56
Semi-rural 8 16
Semi-urban - -
Type of family
Nuclear family 25 50
Joint family 25 50
psychiatry-circle

Figure 1. Percentage distribution of age of the patients recovered with COVID-19

Table 2. Frequency and percentage distribution of level of anxiety among patients recovered from COVID-19.
Level of anxiety No. %
Mild (≤ 50%) 31 62
Moderate (51-75%) 19 38
Severe (>75%) - -

The above Table 2 shows that 31 (62%) had mild anxiety and 19 (38%) had moderate level of anxiety among patients recovered from COVID-19 (Figure 2 and Table 3).

psychiatry-oval

Figure 2. Percentage distribution of level of anxiety among patients recovered from COVID-19.

Table 3. Assessment of anxiety scores among patients recovered from COVID-19

Level of anxiety Mean
Minimum Score 13
Maximum Score 40
Mean 26.76
Standard Deviation 5.76

The Table 3 portrays that the mean score of anxiety among patients recovered from COVID-19 was 26.76 with standard deviation 5.76 with minimum score of 13.0 and maximum score of 40.0 (Table 4) [21-24].

Table 4. Association of level of anxiety among patients recovered from COVID-19 with their selected demographic variables.

Demographic variables Mild Moderate Severe Chi-square value
No. % No. % No. %  
Age X2=3.270 d.f=3 p=0.194 N.S
Below 18 years 3 6 2 4 - -
18 to 35 years 16 32 5 10 - -
More than 35 years 12 24 12 24 - -
Sex   X2=1.399 d.f=2 p=0.497 N.S
Male 17 34 11 22 - -
Female 13 26 6 12 - -
Others 1 2 2 4 - -
Religion X2=1.770 d.f=2 p=0.413 N.S
Hindu 23 46 12 24 - -
Christian 3 6 1 2 - -
Muslim 5 10 6 12 - -
Others - - - - - -
Education X2=3.538 d.f=2 p=0.170 N.S
Primary school 9 18 10 20 - -
Secondary school 6 12 4 8 - -
Higher secondary school 16 32 5 10 - -
Graduate - - - - - -
Occupation X2=4.967 d.f=3 p=0.174 N.S
Daily wages 7 14 10 20 - -
Farmer 4 8 2 4 - -
Private employee 13 26 4 8 - -
Government employee 7 14 3 6 - -
Marital status X2=0.595 d.f=2 p=0.743 N.S
Married 17 34 12 24 - -
Unmarried 13 26 6 12 - -
Divorced 1 2 1 2 - -
Place of residence X2=0.734 d.f=2 p=0.693 N.S
Rural 8 16 6 12 - -
Urban 17 34 11 22 - -
Semi-rural 6 12 2 4 - -
Semi-urban - - - - - -
Type of family X2=0.085 p=0.771 N.S
Nuclear family 15 30 10 20 - -
Joint family 16 32 9 18 - -
N.S: Not Significant

The Table 4 shows that none of the demographic variables had shown statistically significant association with level of anxiety among patients recovered from COVID-19.

Conclusion

The analysis revealed that majority of the COVID-19 had mild to moderate anxiety. The findings of the study can help design such interventions so that people who have seen their psychological health diminished during the pandemic can better cope with this difficult situation around the world.

Acknowledgement

Authors would like to appreciate all the study participants for their cooperation to complete the study successfully.

Conflict of Interest

Author declares no conflict of interest.

References

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