Dataset Information

Anxiety and depression symptoms in older adults during coronavirus disease 2019 pandemic: A community-based cross-sectional study.

ABSTRACT:

Objectives

The coronavirus disease 2019 pandemic has caused high morbidity and mortality in older adults over the world. Because the coronavirus disease 2019 pandemic greatly affects older adults who have a preexisting health condition, they are generally susceptible to a high incidence of severe symptoms of anxiety and depression. Therefore, we aimed to assess the prevalence of anxiety and depression symptoms in older adults during the coronavirus disease 2019 pandemic.

Methods

Community-based cross-sectional study was completed in August 2020. Standardized and pretested General Anxiety Disorder-7 and Geriatric Depression Scale were used to screen the symptoms of anxiety and depression, respectively. Data were entered into EpiData (version 4.3.2) and transferred to SPSS (version 24) for further analysis. Bivariate and multivariate logistic regression analyses were carried out to determine the significantly associated variables with a 95% confidence interval at p < 0.05.

Results

Of the total older adults interviewed, 68.7% had developed symptoms of anxiety and 59.9% had symptoms of depression during the coronavirus disease 2019 pandemic. Female participants, having a chronic disease and poor knowledge of the coronavirus disease 2019 pandemic, were significantly associated with anxiety symptoms. Age category of 81 to 90 and above 90, lack of social support, and having a chronic disease were significantly associated with symptoms of depression.

Conclusion

The symptoms of anxiety and depression among older adults in the North Shoa Zone during coronavirus disease 2019 were higher than before the coronavirus disease 2019 happened. The results were evidence points for developing a psychological intervention to tackle the older adults' mental health needs in the community during and after the coronavirus disease 2019 pandemic.

SUBMITTER: Jemal K

PROVIDER: S-EPMC8381461 | biostudies-literature |

REPOSITORIES: biostudies-literature

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