Mental Health Impact of COVID-19 on Quarantine Hotel Employees in China

Figures & data

Table 1 Demographic Characteristics of Participants

Variables	Categories	Frequencies	Percentage (%)
Gender	Male	71	41.8
	Female	99	58.2
Age	Gen Z (born 1996+)	32	18.8
	Millennials (born 1977–1995)	90	53.0
	Gen X (born 1965–1976)	48	28.2
Education level	Middle school and below	20	11.8
	Senior high school/vocational school	47	27.6
	Junior college	57	33.5
	Undergraduate and above	46	27.1
Monthly income RMB	6000 and below	128	75.3
	6001 and above	29	17.1
	I do not want to talk about it	13	7.6

Table 2 Different Degrees of Depression, Anxiety and Stress Among Quarantine Hotel Employees

Severity Level	Depression		Anxiety		Stress
	Frequencies	%	Frequencies	%	Frequencies	%
Normal	66	38.8	43	25.3	135	79.4
Mild	30	17.6	11	6.5	21	12.4
Moderate	68	40.0	93	54.7	8	4.6
Severe	3	1.8	14	8.2	3	1.8
Extremely severe	3	1.8	9	5.3	3	1.8

Table 3 Prevalence of Stress, Anxiety and Depression Among Quarantine Hotel Employees

Characteristics	Category	Frequencies (%)
Depression symptoms	No (<14)	96 (56.5)
	Yes (≥14)	74 (43.5)
Anxiety symptoms	No (<10)	54 (31.8)
	Yes (≥10)	116 (68.2)
Stress symptoms	No (<19)	156 (91.8)
	Yes (≥19)	14 (8.2)

Table 4 Sociodemographic of Quarantine Hotel Employees’ Depression, Anxiety, and Stress

Characteristics	Total (n;%)	Depression			Anxiety			Stress
		No (n;%)	Yes (n;%)	χ^2 (p-value)	No (n;%)	Yes (n;%)	χ^2 (p-value)	No (n;%)	Yes (n;%)	χ^2 (p-value)
Overall		96 (56.5)	74 (43.5)		54 (31.8)	116 (68.2)		156 (91.8)	14 (8.2)
Gender				0.431(0.511)			0.727(0.394)			3.182(0.074)
Male	71 (41.8)	38 (22.4)	33 (19.4)		20 (11.8)	51 (30.0)		62 (36.5)	9 (5.3)
Female	99 (58.2)	58 (34.1)	41 (24.1)		25 (14.7)	74 (43.5)		94 (55.3)	5 (2.9)
Age				0.215(0.898)			5.353(0.069)			1.880(0.391)
Gen Z (born 1996+)	32 (18.8)	19 (11.2)	13 (7.6)		11 (6.5)	21 (12.4)		29 (17.1)	3 (1.8)
Millennials (born 1977–1995)	90 (52.9)	51 (30.0)	39 (22.9)		34 (20.0)	56 (32.9)		83 (48.8)	7 (4.1)
Gen X (born 1965–1976)	48 (28.2)	26 (15.3)	22 (12.9)		9 (5.3)	39 (22.9)		44 (25.8)	4 (2.4)
Education level				2.923(0.404)			17.860(0.000)			0.081(0.961)
Middle school and below	20 (11.8)	12 (7.1)	8 (4.7)		4(2.4)	16 (9.4)		15 (8.8)	5 (3.0)
Senior high school/vocational school	47 (27.6)	22 (12.9)	25 (14.7)		5 (2.9)	42 (24.7)		33 (19.4)	14 (8.2)
Junior college	57 (33.5)	36 (21.2)	21 (12.3)		24 (14.1)	33 (19.4)		48 (28.2)	9 (5.3)
Undergraduate and above	46 (27.1)	26 (15.3)	20 (11.8)		21(12.4)	25 (14.7)		39 (23.0)	7 (4.1)
Monthly income				4.880(0.087)			1.498(0.473)			2.671(0.263)
6000 and below	128 (75.3)	70 (41.2)	58 (34.1)		38 (22.4)	90 (52.9)		115 (67.6)	13 (7.6)
6001 and above	29 (17.1)	21 (12.4)	8 (4.7)		12 (7.1)	17 (10.0)		28 (16.5)	1 (0.6)
I do not want to talk about it	13 (7.6)	5 (2.9)	8 (4.7)		4 (2.4)	9 (5.3)		13(7.6)	0 (0.0)

Table 5 Logistic Regression Analysis for Factors Associated with Depression and Anxiety Regarding COVID-19

Characteristics	Depression		Anxiety
	OR (95% CI)	P-value	OR (95% CI)	P-value
Gender (Reference: Male)
Female	1.052 (0.544,2.038)	0.879	0.977 (0.463,2.064)	0.952
Age (Reference: Gen Z)
Millennials	0.637 (0.187,1.618)	0.278	1.471 (0.569,3.804)	0.426
Gen X	0.550 (0.257,1.578)	0.330	0.753 (0.224,2.533)	0.647
Education (Reference: Middle school and below)
Senior high school/vocational school	1.630 (0.481,5.520)	0.433	0.363 (0.090,1.462)	0.154
Junior college	0.871 (0.350,2.166)	0.766	0.151 (0.047,0.484)	0.001
Undergraduate and above	1.382 (0.598,3.194)	0.449	0.877 (0.387,1.987)	0.753
Monthly income (Reference: Do not want to talk about it)
6000 and below	2.114 (0.596,7.496)	0.246	1.203 (0.301,4.818)	0.794
6001 and above	4.987 (1.084,22.949)	0.039	1.268 (0.255,6.307)	0.771
Hosmer–Lemeshow goodness of fit statistic	4.679	0.791	1.555	0.980
Nagelkerke R^2 value	6.5%		17.1%