Literature DB >> 33402174

Analysis of personal and national factors that influence depression in individuals during the COVID-19 pandemic: a web-based cross-sectional survey.

Ji Ho Lee1,2, Hocheol Lee1,2, Ji Eon Kim1,2, Seok Jun Moon3, Eun Woo Nam4,5.   

Abstract

BACKGROUND: The World Health Organization (WHO) declared coronavirus disease (COVID-19) a pandemic on March 11, 2020. Previous studies of infectious diseases showed that infectious diseases not only cause physical damage to infected individuals but also damage to the mental health of the public. Therefore this study aims to analyze the factors that affected depression in the public during the COVID-19 pandemic to provide evidence for COVID-19-related mental health policies and to emphasize the need to prepare for mental health issues related to potential infectious disease outbreaks in the future.
RESULTS: This study performed the following statistical analyses to analyze the factors that influence depression in the public during the COVID-19 pandemic. First, to confirm the level of depression in the public in each country, the participants' depression was plotted on a Boxplot graph for analysis. Second, to confirm personal and national factors that influence depression in individuals, a multi-level analysis was conducted. As a result, the median Patient Health Questionnaire-9 (PHQ-9) score for all participants was 6. The median was higher than the overall median for the Philippines, Indonesia, and Paraguay, suggesting a higher level of depression. In personal variables, depression was higher in females than in males, and higher in participants who had experienced discrimination due to COVID-19 than those who had not. In contrast, depression was lower in older participants, those with good subjective health, and those who practiced personal hygiene for prevention. In national variables, depression was higher when the Government Response Stringency Index score was higher, when life expectancy was higher, and when social capital was higher. In contrast, depression was lower when literacy rates were higher.
CONCLUSIONS: Our study reveals that depression was higher in participants living in countries with higher stringency index scores than in participants living in other countries. Maintaining a high level of vigilance for safety cannot be criticized. However, in the current situation, where coexisting with COVID-19 has become inevitable, inflexible and stringent policies not only increase depression in the public, but may also decrease resilience to COVID-19 and compromise preparations for coexistence with COVID-19. Accordingly, when establishing policies such as social distancing and quarantine, each country should consider the context of their own country.

Entities:  

Keywords:  COVID-19; Depression; Government response stringency index; Mental health

Year:  2021        PMID: 33402174      PMCID: PMC7783293          DOI: 10.1186/s12992-020-00650-8

Source DB:  PubMed          Journal:  Global Health        ISSN: 1744-8603            Impact factor:   4.185


  17 in total

1.  Social capital: an individual or collective resource for health?

Authors:  Wouter Poortinga
Journal:  Soc Sci Med       Date:  2005-07-15       Impact factor: 4.634

2.  The evolving concept of health literacy.

Authors:  Don Nutbeam
Journal:  Soc Sci Med       Date:  2008-10-25       Impact factor: 4.634

Review 3.  Sex and depression.

Authors:  P E Bebbington
Journal:  Psychol Med       Date:  1998-01       Impact factor: 7.723

4.  Validation and calibration of the patient health questionnaire (PHQ-9) in Argentina.

Authors:  María Urtasun; Federico Manuel Daray; Germán Leandro Teti; Fernando Coppolillo; Gabriela Herlax; Guillermo Saba; Adolfo Rubinstein; Ricardo Araya; Vilma Irazola
Journal:  BMC Psychiatry       Date:  2019-09-18       Impact factor: 3.630

5.  First COVID-19 suicide case in Bangladesh due to fear of COVID-19 and xenophobia: Possible suicide prevention strategies.

Authors:  Mohammed A Mamun; Mark D Griffiths
Journal:  Asian J Psychiatr       Date:  2020-04-07

6.  Vicarious traumatization in the general public, members, and non-members of medical teams aiding in COVID-19 control.

Authors:  Zhenyu Li; Jingwu Ge; Meiling Yang; Jianping Feng; Mei Qiao; Riyue Jiang; Jiangjiang Bi; Gaofeng Zhan; Xiaolin Xu; Long Wang; Qin Zhou; Chenliang Zhou; Yinbing Pan; Shijiang Liu; Haiwei Zhang; Jianjun Yang; Bin Zhu; Yimin Hu; Kenji Hashimoto; Yan Jia; Haofei Wang; Rong Wang; Cunming Liu; Chun Yang
Journal:  Brain Behav Immun       Date:  2020-03-10       Impact factor: 7.217

7.  Mental health affects future employment as job loss affects mental health: findings from a longitudinal population study.

Authors:  Sarah C Olesen; Peter Butterworth; Liana S Leach; Margaret Kelaher; Jane Pirkis
Journal:  BMC Psychiatry       Date:  2013-05-24       Impact factor: 3.630

8.  Social isolation, loneliness and depression in young adulthood: a behavioural genetic analysis.

Authors:  Timothy Matthews; Andrea Danese; Jasmin Wertz; Candice L Odgers; Antony Ambler; Terrie E Moffitt; Louise Arseneault
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2016-02-03       Impact factor: 4.328

9.  The relationship between trends in COVID-19 prevalence and traffic levels in South Korea.

Authors:  Hocheol Lee; Sung Jong Park; Ga Ram Lee; Ji Eon Kim; Ji Ho Lee; Yeseul Jung; Eun Woo Nam
Journal:  Int J Infect Dis       Date:  2020-05-14       Impact factor: 3.623

10.  Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China.

Authors:  Cuiyan Wang; Riyu Pan; Xiaoyang Wan; Yilin Tan; Linkang Xu; Cyrus S Ho; Roger C Ho
Journal:  Int J Environ Res Public Health       Date:  2020-03-06       Impact factor: 3.390

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  4 in total

1.  Health-related quality of life and mental well-being of healthy and diseased persons in 8 countries: Does stringency of government response against early COVID-19 matter?

Authors:  Di Long; Juanita A Haagsma; Mathieu F Janssen; John N Yfantopoulos; Erica I Lubetkin; Gouke J Bonsel
Journal:  SSM Popul Health       Date:  2021-09-01

2.  Application of the Balance Model in the Analysis of Factors Responsible for Depressive Disorders among Women in the COVID-19 Pandemic.

Authors:  Ewa Dobiała; Anna Gulczyńska; Rafał Małecki; Polina Efremova; Joanna Ławicka; Ewa Karmolińska-Jagodzik; Ivan Kirillov
Journal:  Int J Environ Res Public Health       Date:  2022-06-15       Impact factor: 4.614

3.  Perceived Epidemic Risk and Depression Symptoms during the COVID-19 Pandemic: The Mediating Role of Security and the Moderation Role of Perceived Discrimination.

Authors:  Yunjun Hu; Lingling Shu; Huilin Zhang; Chen Wang; Chengfu Yu; Guanyu Cui
Journal:  Int J Environ Res Public Health       Date:  2022-06-09       Impact factor: 4.614

4.  The effect of cyberchondria on anxiety, depression and quality of life during COVID-19: the mediational role of obsessive-compulsive symptoms and Internet addiction.

Authors:  Federica Ambrosini; Roberto Truzoli; Matteo Vismara; Daniele Vitella; Roberta Biolcati
Journal:  Heliyon       Date:  2022-05-14
  4 in total

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