| Literature DB >> 33109228 |
Li Zhang1, Min Ma2, Danfeng Li3, Ziqiang Xin2.
Abstract
BACKGROUND: The influence of COVID-19 on mental health problems has received considerable attention. However, only a few studies have examined the relationship between exposure to COVID-19 and mental health problems, and no empirical study has tested the mechanisms between them.Entities:
Keywords: Coping efficacy; Exposure to COVID-19; Mental health problems; Perceived threat; Psychological typhoon eye
Mesh:
Year: 2020 PMID: 33109228 PMCID: PMC7590565 DOI: 10.1186/s12992-020-00626-8
Source DB: PubMed Journal: Global Health ISSN: 1744-8603 Impact factor: 4.185
Fig. 1Proposed model of exposure level, risk perception and mental health problems
Correlations among epidemic severity indicators during COVID-19
| 1 | 2 | 3 | |
|---|---|---|---|
| 1. accumulative number of confirmed | – | ||
| 2. accumulative number of deaths | 1.00*** | – | |
| 3. incidence rate | 0.99*** | 0.99*** | – |
| 4. case fatality rate | 0.85*** | 0.85*** | 0.85** |
**p < 0.01, ***p < 0.001
Accumulated confirmed cases in different provinces on March 2, 2020
| Province | Sample size | Number of cases | Province | Sample size | Number of cases |
|---|---|---|---|---|---|
| Hubei | 399 | 67,217 | Guangxi | 83 | 252 |
| Guangdong | 294 | 1350 | Shaanxi | 33 | 245 |
| Henan | 252 | 1272 | Yunnan | 22 | 174 |
| Zhejiang | 85 | 1213 | Hainan | 4 | 168 |
| Hunan | 71 | 1018 | Guizhou | 15 | 146 |
| Anhui | 77 | 990 | Tianjin | 108 | 136 |
| Jiangxi | 63 | 935 | Shanxi | 155 | 133 |
| Shandong | 248 | 758 | Liaoning | 72 | 125 |
| Jiangsu | 162 | 631 | Hongkong | 3 | 100 |
| Chongqing | 33 | 576 | Jilin | 59 | 93 |
| Sichuan | 78 | 538 | Gansu | 20 | 91 |
| Heilongjiang | 38 | 480 | Xinjiang | 7 | 76 |
| Beijing | 187 | 414 | Neimeng | 39 | 75 |
| Shanghai | 93 | 338 | Ningxia | 23 | 74 |
| Hebei | 131 | 318 | Taiwan | 1 | 41 |
| Fujian | 132 | 296 |
Items, and validity assessments of perceived threat and coping efficacy
| Items | loading | VIFa |
|---|---|---|
| “I think the COVID-19 epidemic in China is very serious” | 0.77 | 1.85 |
| “I think the COVID-19 epidemic is very serious abroad” | 0.74 | 2.32 |
| “I am concerned about the increase of imported COVID-19 cases” | 0.73 | 2.10 |
| “I think I am very close to the epidemic in Wuhan” | 0.80 | 1.35 |
| “I have a great deal of uncertainty about when the epidemic will end” | 0.78 | 1.70 |
| “I continue to closely monitor the information released by the authorities” | 0.35 | 1.23 |
| “I think the COVID-19 epidemic will be effectively controlled” | 0.88 | 2.61 |
| “I am optimistic about the situation of this epidemic” | 0.88 | 2.61 |
| “I believe that I can effectively deal with the COVID-19 epidemic” | 0.88 | 2.55 |
| “I believe we can effectively deal with the COVID-19 epidemic” | 0.91 | 2.99 |
aVIF: variance inflation factor
bCR: composite reliability
cAVE: average variance explained
Discriminant validity using Fornell-Larcker criterion
| Coping efficacy | Perceived threat | |
|---|---|---|
| Coping efficacy | 0.88 | - a |
| Perceived threat | 0.07 | 0.71 |
aNot available
Fig. 2Exposure level and mental health problems in 31 provinces
Correlations among exposure level, risk perception and mental health problems during COVID-19
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| 1.Exposure level | – | |||
| 2.Perceived threat | 0.18** | – | ||
| 3.Coping efficacy | 0.11** | 0.20** | – | |
| 4.Mental health problems | −0.09** | 0.30** | −0.27** | – |
**p < 0.001
Indirect and direct effects in structural model
| Relationships between variables | β | |||
|---|---|---|---|---|
| Direct Effects | Exposure level →Mental health problems | − 0.15 | 10.43 | < 0.001 |
| Perceived threat →Mental health problems | 0.45 | 31.70 | < 0.001 | |
| Coping efficacy→ Mental health problems | −0.28 | 19.45 | < 0.001 | |
| Exposure level →Perceived threat | 0.22 | 11.33 | < 0.001 | |
| Exposure level→ Coping efficacy | 0.11 | 6.53 | < 0.001 | |
| Indirect Effects | Exposure level→ Perceived threat → Mental health | 0.10 | 10.60 | < 0.001 |
| Exposure level→ Coping efficacy→ Mental health | −0.03 | 6.27 | < 0.001 | |
Fig. 3Models among exposure level, perceived threat and mental health problems during COVID-19