Skip to main content
. 2020 Sep 18;117(38):625–632. doi: 10.3238/arztebl.2020.0625

eTable 1. Extraction table for survey studies on psychological effects of the SARS-CoV-2 pandemic (as of April 16, 2020).

Country; participants; female (%); age (M ± SD) [alternative information] Subgroup; assessment; survey period Assessment tools or questions asked Psychological distress Stress/ other outcomes Moderating factors
Anxiety, fear, worries Depressive symptoms Posttraumatic stress Sleep-related symptoms
General Population
Cao et al. (2020) (e16) China; 7,143; 4,975 (69.65%); NR Medical students from Changzhi Medical College; Internet, no details on recruitment, cross-sectional; NR GAD-7 24.9% affected; 0.9% severe, 2.7% moderate, 21.3% mild symptoms NR NR NR NR for anxiety:
infection of loved ones (+);
worries about economic impact of the epidemic (+);
concerns about study related disadvantages (+);
influence of the epidemic on daily life (+);
stability of family income (–);
living in a urban area (–);
living with parents (–);
social support (–)
Liu et al. (2020) (e7) China; 285; 155 (54.4%); NR [47.7%<35] Current (n=124) or previous (n=188) stay in Wuhan; internet, no details on recruitment; January 30 - February 08, 2020 PCL-5, PSQI NR NR 7% according to PCL-5 (higher than norm data1) NR NR For PTSD:
Female sex (+);
Risk groups (+);
no current / previous stay in Wuhan (–);
poor subjective sleep quality (+);
sleep latency (+)
Qiu et al. (2020) (e4) China, Hong Kong, Taiwan, Macao; 52,730; 34,131 (64.73%), NR GP; internet, recruitment with QR code via Siuvo Intelligent Psychological Assessment Platform, cross-sectional; January 31 – February 10, 2020 CPDI NR NR NR NR 35% CPDI>27 for psychological distress:
female (+); age < 18 (–); migrant workers (+); being from hubei (+)
Roy et al. (2020) (e17) India; 662; 339 (51.2%); 29.09±8.83 GP; internet, snowball sampling method via e-mail, WhatsApp, other social media, cross-sectional; March 22 – 24, 2020 multiple-choice-questions on awareness, attitudes, fear 82.2% preoccupations about COVID-19; 37.8 % hypochondriac fear NR NR 12.5% sleep disorders due to worries NR NR
Wang, C. et al. (2020) (16) China; 1,210; 814 (67.3%); NR [53.1% age 21.4-30.8] GP; internet, via snowball sampling to students, cross-sectional; January 31 - February 2, 2020 IES-R, DASS-21 28.8% >9 in DASS-21 anxiety subscale 16.5% >12 in DASS-21 depression subscale 53.8% > 33 im IES-R; M±SD: 32.98± 15.42 NR Stress: 8.1%>18 in DASS-21stress subscale For PTSD:
male sex (–);
students (+);
respiratory symptoms (+);
chronic diseases (+);
discontent with information about COVID-19 (+);
concerns about children (+);
hygiene behavior (–);
For stress: students (+);
reduced perceived health (+);
chronic diseases (+); discontent with information on COVID-19 (+);
information about increase in cured (–);
no trust in the doctor (+); low perceived risk of infection (–); perceived risk of death from infection (+);
concerns about family (+);
hygiene behavior (–)

For fear:
students (+);
doctor's visits (+);
hospital stays (+);
reduced perceived health (+);
chronic diseases (+);
contact to person with COVID-19 (+);
no confidence in the doctor (+);
low perceived risk (–) of infection;
concerns about children (+);
hygiene behavior (–)

for depressive symptoms:
low educational level (+);
reduced perceived health (+);
chronic diseases (+);
discontent with information on COVID-19 (+);
information about increase in the number of people cured (–);
no trust in the doctor (+);
hygiene behavior (–)
Wang, Y et al. (2020) (e18) China; 600; 333 (55.5%); 34 ± 12 GP; internet, no details on recruitment, cross-sectional; February 6 - 9, 2020; SAS, SDS 0.67% SAS> 59 (36.92 ± 7.33) 2.83% SDS>62 (40.50 ± 11.31) NR NR NR for anxiety:
female sex (+);
age > 40 (+)
Zhang, Y. et al. (2020) (e19) China; 263; 157 (60%); 37.7± 14.0 GP from Liaoning; internet, recruitment via WeChat, cross-sectional; January 28 – 5, 2020 i. a. IES NR NR 7.6% IES > 25 (13.6±7.7) NR NR for PTSS:
(–) rest
Healthcare Workers
Cai et al. (2020) (e1) China; 534; 367 (68.7%); 36.4 (16.18) physicians (n=233), nurses (n=248) in Hunan; no details on recruitment, cross-sectional; January –March, 2020 Custom-built: emotions during COVID-19 outbreak, stressors, protective factors, coping and others 40.6% > 1 (anxious+ nervous) NR NR NR NR for stress:

concerns about infecting family
Huang, JZ. et. al. (2020) (e9) China; 230; 187 (81.30%); NR [53% age 30-39] physicians (n=70), nurses (n=160) (all in frontline position); institutional survey, no details on recruitment, cross-sectional; February 7- 14, 2020 SAS, PTSD-SS 11.63% of the 43 men,

25.67% of the 187 women SAS>49; (together 23.04 %)
NR 18.60% of the 43 men, 29.41% der 187 women PTSD-SS>49; (together 27.39%) NR NR for anxiety:

male sex (–);
medical profession (–);
low professional position (+)

for post-traumatic stress:
male sex (–)
Kang et al. (2020) (e20) China; 994; 850 (85.5%); NR [63.4% age 30-40] physicians (n=183), nurses (n=811); interent, recruitment via Wenjuanxing, cross-sectional; January 29 - February 04, 2020 PHQ-9, GAD-7, ISI, IES-R; K-means-clustering-method for all of the measuring tools > mental health 22.4% with GAD-7 mean value 8.2; 6.2% with GAD-7-M 15.1 22.4% with PHQ-9 mean value 9; 6.2% PHQ-9-M 15.1 22.4% with IES-R-mean value 39.9; 6.2% with IES-R mean value 60.0 22.4% with ISI mean value 10.4; 6.2% with ISI mean value 15.6 NR For mental health:

exposure to COVID-19 (+);
use of
psychoeducational materials (–)
Lai et al. (2020) (6) China; 1,257; 964(76.7%); NR[64.7% age 26 - 40] subgroups: nurses (n= 764), physicians (n=493), from Wuhan (n=760), direct contact with COVID-19 patients (n=522); no details on recruitment, cross-sectional; January 29 – March 1, 2020 PHQ-9, GAD-7, ISI, IES 44.6% GAD-7 > 6 50.4% PHQ-9 > 8 71.5% IES-R > 25 34% ISI > 14 NR for depressive symptoms:

Nursing staff(+);
female sex (+);
work at secondary hospital(+);
middle professional position(+);
direct patient contact(+)

for fear:
female sex (+);
middle professional position (+);
work at secondary hospital (+);
direct patient contact (+)

for sleep-related symptoms:
direct patient contact (+)

for stress:
female sex (+);
middle professional position(+);
direct patient contact (+);
work outside Hubei (–)
Mo et al. (2020) (e2) China; 180; 162 (90%); 129 (71.7%); 32.71 ± 6.52 nurses from Guangxi in Wuhan; internet, via computer/ smartphone, QR-Code, cross-sectional; end of February, 2020 SOS, SAS SAS: M±SD 32.19±7.56 NR NR NR SOS: stress:
22.22%> 50;

(M±SD
39.91±12.92)
for stress:
siblings (–);
workload(+) anxiety (+);
high professional qualification(+);
poor sleep quality (+);
severity of the patient's condition (+);
lack of adaptation to daily diet (+)
Xiao et al. (2020) (e3) China; 180; 129 (71.7%); 32.31±4.88 physicians (n=82), nurses (n=98) from Wuhan; no details on recruitment, cross-sectional; January –February, 2020 SAS, GSES, SASR, PSQI, SSRS SAS: M±SD 55.256±
14.183 (SAS)
NR NR PSQI: M±SD 8.583±4.567 (higher than norm data2) stress: M±SD
77.589±
29.525 (SASR)

self-efficacy:
GSES: M±SD
2.267±0.767

social support:
SSRS: M±SD 34.172 ± 10.263
for sleep-related symptoms:
anxiety (+);
stress (+);
self-efficacy (–);
for anxiety:
social support (–);
for stress:
social support (–);
anxiety (+)
Mixed Groups
Huang, Y. et al. (2020) (e6) China; 7,236; 3,952 (54.6%); 35.3 ± 5.6 GP, subgroup HCW (n = 2,250); internet, recruitment via WeChat, cross-sectional; February 3 - 17, 2020 GAD-7, CES-D, PSQI, knowledge about COVID-19 and time spent thinking about COVID-19 35.1% GAD-7 > 9 (higher than norm data3); healthcare workers 35.6% (34.9% = mean of the remaining) 20.1% CES-D > 28 (higher than norm data); HCW 19.8% (GP 20.2% =mean of the remaining) NR 18.2% PSQI > 7; HCW 23.8%
(GP 15.67% = mean of the remaining)
NR for depressive symptoms:
age <35 (+);
health profession+ >3h/d thinking about COVID-19(+)

for sleep related symptoms:
health profession(+);
health profession+>3h/d thinking about COVID-19(+)
Li et al. (2020) (e8) China; 740; 128 (59.81%); 25 [IQR: 22–38.3] GP (n=214) + nurses (n= 526), contact with COVID-19 (n=234); App-based, recruitment via WeChat, cross-sectional; February 17 - 21, 2020 Vicarious Traumatization Questionnaire NR NR Vicarious Traumatization Questionnaire: Median (IQR) GP 75.5 (62–88.3), nurses with contact 64 (52–75), without contact 75.5 (63–92) NR NR for vicarious traumatization:
general population or nursing staff without direct contact with COVID-19 (+)
Lu et al. (2020) (e21) China; 2,299; 1,785 (77.6%); NR [78% age <40] HCW (n=2,042), administrative staff (n=257); internet, no details on recruitment, cross-sectional; February 25 – 26, 2020 NRS on fear, HAMA, HAMD HCW: 70.6%>3 in NRS on fear, 25.5% >6 in HAMA; administrative staff: 58.4%> 3 in NRS on fear; 18.7% >6 in HAMA HCW: 12.1% >6 in HAMD;
administrative staff: 8.2% >6 in HAMD
NR NR NR for fear:
health professional (+);
high risk contact (+);
for depressive symptoms: high-risk contact (+)
Yuan et al. (2020) (e22) China; 939; 582 (61.98%); NR [71.5% age 18-39] HCW (n=249); students (n=312); internet, no details on recruitment, longitudinal; 2 assessments in February, 2020 SRQ, PSQI NR NR NR NR (change in M of the PSQI-items: –0.148) NR (SRQ: change in M of the emotional state: 0.392; M-change in somatic responses: 0.014) NR
Zhang, W. et al. (2020) (e23) China; 2,182; 1,401 (64.2%); NR [96.3% age 18-60] HCW (n=927), GP (n=1,255); internet, recruitment via Wenjuanxing, cross-sectional; February 19 – March 6, 2020 ISI, SCL-90-R, PHQ-4(GAD-2+PHQ-2) 10.4% GAD-2>2; HCW 13%; GP 8.5% 10.6% PHQ-2>2; HCW 12.2%; GP 9.5% NR 33.9% ISI>7 (9.5%>14); HCW: 38.4% (10.5%); GP 30.5% (8.8%) somatization:
0.9% SCL-90-R subscore>2; HCW 1.6%, GP 0.4%

Zwang:
3.5% SCL-90-R subscore>2; HCW 5.3%; GP 2.2%

phobic anxiety:
2.9% SCL-90-R subscore>2; HCW 3.6%; GP 2.4%
for anxiety:
health profession (+);
female sex (+);
being married (+);
risk of contact with COVID-19 patients in the hospital (+);
organic diseases (+);
for depressive symptoms:

health profession (+);
living in rural areas (+);
living with family (+);
organic diseases (+)
for sleep related symptoms:
health profession (+);
living in rural areas (+);
living with family (+);
risk of contact with COVID-19 patients in the hospital (+);
organic diseases (+)

Abbreviations:

GP: general population; HCW: healthcare workers; M: mean value; NR: not reported; SD: standard deviation

(+): positive correlation; (-): negative correlation; CES-D: Center for Epidemiologic Studies Depression Scale to assess depressive symptoms; CPDI: COVID-19 Peritraumatic Distress Index; DASS-21: Depression, Anxiety and Stress Scale; GAD-7: Generalized Anxiety Disorder Scale-7 to assess generalized anxiety disorders; GSES: General Self-Efficacy Scale to assess self-efficacy; HAMA: Hamilton Anxiety Scale to assess anxiety symptoms; HAMD: Hamilton Depression Scale to assess depressive symptoms; IES-R: Impact of Event Scale - Revised to assess post-traumatic symptoms; ISI: Insomnia Severity Index to assess sleep disorders; NRS: Numeric Rating Scale; PCL-5: Posttraumatic Stress Disorder Checklist for DSM-5 for post-traumatic stress symptoms; PCL-C: Posttraumatic Stress Disorder Checklist- Civialians for posttraumatic stress symptoms; PHQ-4: Personal Health Questionnaire-4 to assess anxiety and depressive symptoms; PHQ-9: Personal Health Questionnaire 9 to assess depressive symptoms; PSQI: Pittsburgh Sleep Quality Index to assess sleep quality; PTSD: PTSD-SS: PTSD Self-rating Scale to assess post-traumatic stress symptoms; SAS: Self-Rating Anxiety Scale for recording anxiety symptoms; SASR: Stanford Acute Stress Reaction Questionnaire to assess stress reactions; SCL-90-R: Symptom Checklist 90-Revised to assess mental stress; SDS: Self-Rating Depression Scale; SE: Self-developed questionnaire; SOS: Stress Overload Scale to assess stress; SRQ: Stress Response Questionnaire to assess emotional situation, somatic reactions and behavior; SSRS: Social Support Rate Scale to assess social support; Vicarious Traumatization Questionnaire to assess secondary traumatization, based on TSIB (Traumatic Stress Institute Belief Scale), VTS (Vicarious Trauma Scale) and IES

1 prevalence: 7% vs 3.7%

2 M ± SD: 32.19±7.56 vs 29.78±0.46; t=4.27; p<0.001

3 prevalence: 35.1% vs 5.0%

4 prevalence: 20.3% vs 3.6%