TABLE 1.
Descriptive analysis (N = 11,682). Social Disconnectedness and Mental Health Problems During the COVID-19 Pandemic in China: A Moderated Mediation Model, China, 2020.
| Variables | Mean/% | Std. Dev | Min | Max |
|---|---|---|---|---|
| Demographics | ||||
| Age | 28.98 | 11.80 | 14.00 | 94.00 |
| Gender | ||||
| Female | 44.49% | |||
| Male | 55.51% | |||
| Education | ||||
| Primary school or less | 3.39% | |||
| Secondary school | 23.42% | |||
| Junior college | 21.30% | |||
| Undergraduate | 42.00% | |||
| Postgraduate or more | 9.89% | |||
| Place of residence | ||||
| Wuhan | 2.26% | |||
| Hubei Province (other than Wuhan) | 5.55% | |||
| Other than Hubei Province | 92.19% | |||
| Socioeconomic status | ||||
| Upper class | 1.56% | |||
| Upper-middle class | 5.92% | |||
| Middle class | 33.45% | |||
| Middle and lower class | 38.11% | |||
| Lower class | 20.94% | |||
| Occupation type | ||||
| High-risk occupations | 12.59% | |||
| Low-risk occupations | 87.41% | |||
| Residential type | ||||
| Urban area | 35.14% | |||
| County | 28.47% | |||
| Township | 13.57% | |||
| Rural area | 22.82% | |||
| Independent variable | ||||
| Social disconnectedness | 3.21 | 0.54 | 1.00 | 5.00 |
| Mediating variable | ||||
| Perceived isolation | 2.12 | 1.02 | 1.00 | 5.00 |
| Moderating variables | ||||
| COVID 19-related concerns | 3.21 | 0.67 | 1.00 | 5.00 |
| Dependent variable | ||||
| Mental health problems | 2.40 | 1.07 | 1.00 | 5.00 |