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        ©The Author(s) 2025.
    
    
        World J Psychiatry. Feb 19, 2025; 15(2): 97971
Published online Feb 19, 2025. doi: 10.5498/wjp.v15.i2.97971
Published online Feb 19, 2025. doi: 10.5498/wjp.v15.i2.97971
            Table 1 Demographic characteristics and Beck Depression Inventory scores of the respondents classified into various sub-samples (n = 2001)
        
    | Demographic factors | n (%) | 
| Gender | |
| Male | 740 (36.98) | 
| Female | 1261 (63.02) | 
| Age (years old) | |
| 13-30 | 1177 (58.82) | 
| 31-50 | 770 (38.48) | 
| > 50 | 54 (2.70) | 
| Education level | |
| High school or below | 309 (15.44) | 
| College or above | 1692 (84.56) | 
| Marital status | |
| Unmarried | 874 (43.68) | 
| Married | 1057 (52.82) | 
| Divorced/widow | 70 (3.50) | 
| Occupation | |
| Health professional | 384 (19.19) | 
| The others | 1617 (80.81) | 
| Location of residence | |
| High epidemic areas | 577 (28.84) | 
| Low epidemic areas | 1424 (71.16) | 
| Quarantine status | |
| No | 1965 (98.20) | 
| Yes | 36 (1.80) | 
| Preventative measures taken | |
| Yes | 1828 (91.35) | 
| No | 173 (8.65) | 
| If returned to work | |
| Yes | 1621 (81.01) | 
| No | 380 (18.99) | 
            Table 2 Beck Depression Inventory scores of respondents classified into various sub-samples, n (%)
        
    | Sub-samples | BDI scores | |||||
| 0-13 | 14-19 | 20-28 | 29-63 | χ2 | P value | |
| Gender | 4.417 | 0.220 | ||||
| Male (n = 740) | 441 (59.59) | 81 (10.95) | 137 (18.51) | 81 (10.95) | ||
| Female (n = 1261) | 748 (59.32) | 174 (13.80) | 205 (16.26) | 134 (10.63) | ||
| Age (years old) | 32.143 | < 0.001 | ||||
| 13-30 (n = 1177) | 730 (62.02) | 156 (13.25) | 200 (16.99) | 91 (7.73) | ||
| 31-50 (n = 770) | 425 (55.19) | 91 (11.82) | 138 (17.92) | 116 (15.06) | ||
| > 50 (n = 54) | 34 (62.96) | 8 (14.81) | 4 (7.41) | 8 (14.81) | ||
| Education level | 106.745 | < 0.001 | ||||
| High school or below (n = 309) | 125 (40.45) | 31 (10.03) | 75 (24.27) | 78 (25.24) | ||
| College or above (n = 1692) | 1064 (62.88) | 224 (13.24) | 267 (15.78) | 137 (8.10) | ||
| Marital status | 247.439 | < 0.001 | ||||
| Unmarried (n = 874) | 558 (63.84) | 119 (13.62) | 146 (16.70) | 51 (5.84) | ||
| Married (n = 1057) | 621 (58.75) | 132 (12.49) | 186 (17.60) | 118 (11.16) | ||
| Divorced/widow (n = 70) | 10 (14.29) | 4 (5.71) | 10 (14.29) | 46 (65.71) | ||
| Occupation | 26.911 | < 0.001 | ||||
| Health professional (n = 384) | 188 (48.96) | 51 (13.28) | 84 (21.88) | 61 (15.89) | ||
| The others (n = 1617) | 1001 (61.90) | 204 (12.62) | 258 (15.96) | 154 (9.52) | ||
| Location of residence | 9.508 | 0.023 | ||||
| High epidemic areas (n = 577) | 324 (56.15) | 70 (12.13) | 122 (21.14) | 61 (10.57) | ||
| Low epidemic areas (n = 1424) | 865 (60.74) | 185 (12.99) | 220 (15.45) | 154 (10.81) | ||
| Quarantine status | 65.600 | < 0.001 | ||||
| No (n = 1965) | 1186 (60.36) | 252 (12.82) | 328 (16.69) | 199 (10.13) | ||
| Yes (n = 36) | 3 (8.33) | 3 (8.33) | 14 (38.89) | 16 (44.44) | ||
| If preventative measures taken | 426.533 | < 0.001 | ||||
| Yes (n = 1828) | 1169 (63.95) | 244 (13.35) | 294 (16.08) | 121 (6.62) | ||
| More than seven (n = 173) | 20 (11.56) | 11 (6.36) | 48 (27.75) | 94 (54.34) | ||
| If returned to work | 46.804 | < 0.001 | ||||
| Yes (n = 1621) | 1003 (61.88) | 208 (12.83) | 271 (16.72) | 139 (8.57) | ||
| No (n = 380) | 186 (48.95) | 47 (12.37) | 71 (18.68) | 76 (20.00) | ||
            Table 3 The predictors of Beck Depression Inventory scores using multiple linear regression analysis
        
    | R2 = 0.201 | Beta | P value | 
| Gender | 0.256 | 0.584 | 
| Age | -1.209 | 0.020 | 
| Education level | -2.928 | < 0.001 | 
| Marital status | 1.778 | 0.001 | 
| Location of residence | -0.757 | 0.125 | 
| Occupation | -1.900 | 0.001 | 
| Quarantine status | 9.091 | < 0.001 | 
| If preventative measures taken | 13.193 | < 0.001 | 
| If returned to work | 1.144 | 0.064 | 
            Table 4 Logistic regression analysis of factors affecting depression levels
        
    | Variables | OR | 95%CI | P value | 
| Gender | 0.993 | 0.812-1.214 | 0.942 | 
| Age (years old) | 0.157 | ||
| 13-30 | 1.887 | 0.949-3.753 | 0.070 | 
| 31-50 | 1.926 | 0.988-3.756 | 0.054 | 
| > 50 | |||
| Education level | 1.623 | 1.227-2.148 | 0.001 | 
| Marital status | 0.002 | ||
| Unmarried | 0.239 | 0.109-0.523 | < 0.001 | 
| Married | 0.259 | 0.121-0.552 | < 0.001 | 
| Divorced/widow | |||
| Occupation | 1.580 | 1.242-2.011 | < 0.001 | 
| Location of residence | 1.211 | 0.981-1.494 | 0.074 | 
| Quarantine status | 0.106 | 0.031-0.363 | < 0.001 | 
| If take preventative measures taken | 0.116 | 0.070-0.192 | < 0.001 | 
| If returned to work | 0.866 | 0.658-1.141 | 0.307 | 
- Citation: Qiu QM, Xiao Y. Depression levels of the general public increases during the COVID-19 pandemic in China: A web-based cross-sectional survey. World J Psychiatry 2025; 15(2): 97971
 - URL: https://www.wjgnet.com/2220-3206/full/v15/i2/97971.htm
 - DOI: https://dx.doi.org/10.5498/wjp.v15.i2.97971
 
