| Literature DB >> 32658859 |
Xi Chen1, Stephen X Zhang2, Asghar Afshar Jahanshahi3, Aldo Alvarez-Risco4, Huiyang Dai5, Jizhen Li5, Verónica García Ibarra6.
Abstract
BACKGROUND: During the coronavirus disease (COVID-19) pandemic, social media platforms have become active sites for the dissemination of conspiracy theories that provide alternative explanations of the cause of the pandemic, such as secret plots by powerful and malicious groups. However, the association of individuals' beliefs in conspiracy theories about COVID-19 with mental health and well-being issues has not been investigated. This association creates an assessable channel to identify and provide assistance to people with mental health and well-being issues during the pandemic.Entities:
Keywords: 2019-nCoV; COVID-19; Latin America; conspiracy; coronavirus; health care worker; mental health; prediction; psychiatric identification; social media; well-being
Mesh:
Year: 2020 PMID: 32658859 PMCID: PMC7375774 DOI: 10.2196/20737
Source DB: PubMed Journal: JMIR Public Health Surveill ISSN: 2369-2960
Descriptive findings and predictors of health care workers’ mental health and well-being by regression analyses (N=252).
| Variable | n (%) | Anxiety | Psychological distress | Life satisfaction | Job satisfaction | ||||||
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| ORa (95% CI) | OR (95% CI) | |||||||
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| Not sure | 104 (41.3) | Reference | N/Ac | Reference | N/A | Reference | N/A | Reference | N/A | |
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| Developed intentionally | 61 (24.2) | 4.76 (2.29 to 9.90) | 0.000 | 2.44 (1.20 to 4.98) | 0.014 | –0.20 (–0.34 to –0.07) | 0.004 | –0.15 (–0.29 to 0.00) | 0.036 | |
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| Occurred naturally | 52 (20.6) | 1.62 (0.73 to 3.59) | 0.239 | 1.08 (0.51 to 2.29) | 0.834 | 0.01 (–0.10 to 0.13) | 0.839 | 0.00 (–0.13 to 0.13) | 0.944 | |
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| Created accidentally | 35 (13.9) | 1.12 (0.42 to 3.00) | 0.827 | 0.93 (0.39 to 2.21) | 0.877 | –0.08 (–0.21 to 0.05) | 0.216 | –0.09 (–0.23 to 0.06) | 0.213 | |
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| Not married | 137 (54.4) | Reference | N/A | Reference | N/A | Reference | N/A | Reference | N/A | |
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| Married | 115 (45.6) | 1.16 (0.63 to 2.14) | 0.636 | 0.74 (0.41 to 1.32) | 0.307 | 0.15 (0.04 to 0.27) | 0.010 | 0.04 (–0.09 to 0.17) | 0.522 | |
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| 1.27 (0.91 to 1.76) | 0.163 | 1.24 (0.89 to 1.71) | 0.202 | 0.12 (–0.01 to 0.24) | 0.076 | 0.04 (–0.10 to 0.19) | 0.533 | |||
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| High school | 11 (4.4) |
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| Technical | 9 (3.6) |
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| Undergraduate | 159 (63.1) |
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| Master | 43 (17.1) |
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| Specialty | 30 (11.9) |
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| 0.98 (0.94 to 1.01) | 0.237 | 0.97 (0.94 to 1.01) | 0.127 | 0.09 (–0.06 to 0.25) | 0.233 | 0.21 (0.05 to 0.36) | 0.006 | |||
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| 18-24 | 26 (10.3) |
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| 25-34 | 125 (49.6) |
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| 35-44 | 61 (24.2) |
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| 45-54 | 32 (12.7) |
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| 55-69 | 8 (3.2) |
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| Female | 165 (65.5) | Reference | N/A | Reference | N/A | Reference | N/A | Reference | N/A | |
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| Male | 87 (34.5) | 1.44 (0.78 to 2.65) | 0.244 | 0.96 (0.55 to 1.70) | 0.897 | 0.10 (–0.02 to 0.22) | 0.089 | 0.02 (–0.11 to 0.15) | 0.751 | |
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| 0.84 (0.69 to 1.01) | 0.069 | 0.91 (0.77 to 1.07) | 0.234 | 0.15 (0.04 to 0.26) | 0.009 | 0.11 (–0.02 to 0.24) | 0.075 | |||
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| 0 | 90 (35.7) |
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| 1 | 78 (31.0) |
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| 2 | 27 (10.7) |
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| 3 | 24 (9.5) |
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| 4 | 8 (3.2) |
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| 5 | 10 (4.0) |
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| ≥6 | 15 (6.0) |
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| Unsure | 70 (27.8) | Reference | N/A | Reference | N/A | Reference | N/A | Reference | N/A | |
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| No | 181 (71.8) | 0.60 (0.31 to 1.31) | 0.113 | 0.60 (0.33 to 1.12) | 0.110 | 0.14 (0.03 to 0.26) | 0.016 | 0.11 (–0.03 to 0.25) | 0.096 | |
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| Yes | 1 (0.4) | N/A | N/A | N/A | N/A | –0.02 (–0.04 to 0.00) | 0.084 | –0.06 (–0.09 to –0.03) | 0.000 | |
aOR: odds ratio.
bCOVID-19: coronavirus disease.
cN/A: not applicable.