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 [DOI: 10.5498/wjp.v15.i2.97971]
Corresponding Author of This Article
Yu Xiao, Psychosomatic Medical Center, The Fourth People’s Hospital of Chengdu, No. 8 Huli West Lane 1, Yingmenkou Road, Chengdu 610036, Sichuan Province, China. xiaoy3@outlook.com
Research Domain of This Article
Psychiatry
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
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World J Psychiatry. Feb 19, 2025; 15(2): 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