Risk and protective factors of depression in the general population during the COVID-19 epidemic in Korea

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Abstract

Background

The risk of depression has risen in the general population during the COVID-19 epidemic. This study was conducted to explore risk and protective factors associated with depression among the general population uninfected by COVID-19.

Methods

A cross-sectional study was conducted with 1,500 representative South Korean citizens aged 19–65 years through an anonymous online survey. Depression was defined as a Patient Health Questionnaire-9 score of 10 or higher. Other questionnaires included one measuring psycho-behavioural and social changes, and stress, due to COVID-19, a six-item version of the Gratitude Questionnaire (GQ-6), and a three-item version of the UCLA loneliness scale.

Results

Of the 1492 participants not infected by COVID-19, 312 (20.9%) exhibited depression. Multiple logistic regression analysis revealed that depression was positively associated with COVID-19-related stress and psycho-behavioural variables such as disturbances in eating and sleeping, younger age, smoking, underlying mental illness, and loneliness scale scores. In contrast, exercise three or more times per week and GQ-6 scale scores were inversely associated with depression.

Conclusion

During the COVID-19 pandemic, maintaining daily routines including eating, sleeping, and regular exercise and focusing on gratitude may be important for the prevention of depression. In addition, more attention should be paid to vulnerable populations, including young people, those with mental illnesses, and smokers, who might be more susceptible to depression.

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Most cited references 51

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The PHQ-9: validity of a brief depression severity measure.

K Kroenke, R L Spitzer, J. Williams (2001)

While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.

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Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysis

Nader Salari, Amin Hosseinian-Far, Rostam Jalali … (2020)

Background The COVID-19 pandemic has had a significant impact on public mental health. Therefore, monitoring and oversight of the population mental health during crises such as a panedmic is an immediate priority. The aim of this study is to analyze the existing research works and findings in relation to the prevalence of stress, anxiety and depression in the general population during the COVID-19 pandemic. Method In this systematic review and meta-analysis, articles that have focused on stress and anxiety prevalence among the general population during the COVID-19 pandemic were searched in the Science Direct, Embase, Scopus, PubMed, Web of Science (ISI) and Google Scholar databases, without a lower time limit and until May 2020. In order to perform a meta-analysis of the collected studies, the random effects model was used, and the heterogeneity of studies was investigated using the I2 index. Moreover. data analysis was conducted using the Comprehensive Meta-Analysis (CMA) software. Results The prevalence of stress in 5 studies with a total sample size of 9074 is obtained as 29.6% (95% confidence limit: 24.3–35.4), the prevalence of anxiety in 17 studies with a sample size of 63,439 as 31.9% (95% confidence interval: 27.5–36.7), and the prevalence of depression in 14 studies with a sample size of 44,531 people as 33.7% (95% confidence interval: 27.5–40.6). Conclusion COVID-19 not only causes physical health concerns but also results in a number of psychological disorders. The spread of the new coronavirus can impact the mental health of people in different communities. Thus, it is essential to preserve the mental health of individuals and to develop psychological interventions that can improve the mental health of vulnerable groups during the COVID-19 pandemic.

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COVID-19 pandemic and mental health consequences: systematic review of the current evidence

Nina Vindegaard, Michael Eriksen Benros (2020)

Highlights • COVID-19 patients displayed high levels of PTSS and increased levels of depression. • Patients with preexisting psychiatric disorders reported worsening of psychiatric symptoms. • Higher levels of psychiatric symptoms were found among health care workers. • A decrease in psychological well-being was observed in the general public. • However, well conducted large-scale studies are highly needed.

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Author and article information

Contributors

Sung-Wan Kim: swkim@chonnam.ac.kr

Jae-Min Kim: jmkim@chonnam.ac.kr

Journal

Journal ID (nlm-ta): BMC Psychiatry

Journal ID (iso-abbrev): BMC Psychiatry

Title: BMC Psychiatry

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-244X

Publication date (Electronic): 8 September 2021

Publication date PMC-release: 8 September 2021

Publication date Collection: 2021

Volume: 21

Electronic Location Identifier: 445

Affiliations

[1 ]GRID grid.14005.30, ISNI 0000 0001 0356 9399, Department of Psychiatry, , Chonnam National University Medical School, ; 42 Jebong-ro, Dong-gu, Gwangju, 61469 Republic of Korea

[2 ]Gwangju Mental Health Commission, Gwangju, Korea

[3 ]GRID grid.13063.37, ISNI 0000 0001 0789 5319, Care Policy and Evaluation Centre, Department of Health Policy, , London School of Economics and Political Science, ; London, United Kingdom

Article

Publisher ID: 3449

DOI: 10.1186/s12888-021-03449-y

PMC ID: 8425318

PubMed ID: 34496823

SO-VID: 21ecacba-4551-40d1-9194-54390aa91ff3

License:

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