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HUBUNGAN MEKANISME KOPING DENGAN TINGKAT KECEMASAN PENULARAN COVID-19 PADA MASYARAKAT DESA KUDUGEDE

Authors: Lestari, Reza Dewi; Heriana, Cecep; Sudirman, Rany Muliany;

HUBUNGAN MEKANISME KOPING DENGAN TINGKAT KECEMASAN PENULARAN COVID-19 PADA MASYARAKAT DESA KUDUGEDE

Abstract

Background: COVID-19 has affected more than 2-3 million people in 185 countries around the world. Based on the number of COVID-19 cases in Kuningan Regency, there were 16.482 cases and in Kadugede District there were 25 cases. The high rate of transmission of the COVID-19 virus causes anxiety among the public. Coping with anxiety levels well requires a coping mechanism. The purpose of this study was to determine the relationship between coping mechanisms and the level of anxiety regarding the transmission of COVID-19 in the people of Kadugede Village, Kadugede District, Kuningan Regency in 2021. Methods: The type of research used was quantitative analytical cross sectional. The total population in this study was 4521 people with a sample of 98 respondents taken using thetechnique Proportionate Stratified Random Sampling. The instrument used is a questionnaire, with an assessment of thestatistical test Spearman rank. Results: The results showed that most of respondents had maladaptive coping mechanisms (51%) and almost most of the respondents had very severe levels of anxiety (39.8%). The results of statistical tests with the spearman rank test showed pvalue = 0.003. Conclusion: There is a significant relationship between coping mechanisms and the level of anxiety regarding the transmission of COVID-19 in the people of Kadudege Village, Kadugede District, Kuningan Regency in 2021, with p value = 0.003.Suggestion: Are expected that the community can reduce anxiety levels with good coping mechanisms.

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Anxiety Levels, COVID-19, Coping Mechanisms

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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