Table S1.
Study level characteristics
Study | Country | Population | Sample size | Anxiety prevalence (%) | Depression prevalence (%) | Stress prevalence (%) | Insomnia prevalence (%) |
---|---|---|---|---|---|---|---|
Cao W | China | Medical students | 7143 | 24.86 | NR | NR | NR |
Wang C | China | General population | 1210 | 36.36 | 30.33 | 32.15 | NR |
Lai J | China | Healthcare workers in fever clinic and COVID-19 wards | 1257 | 44.55 | 50.44 | 71.52 | 33.97 |
Wang Y | China | General population | 600 | 6.33 | 17.17 | NR | NR |
Huang JZ | China | Medical-staff involved in COVID-19 | 230 | 23.04 | NR | NR | NR |
Qui J | China, Hongcong, Macau, Taiwan | General population | 52730 | NR | NR | 34.43 | NR |
Lu W | China | Medical workforce fighting COVID-19 and administrative staff | 2299 | 25.51a, 18.68c | 12.1a, 8.17c | NR | NR |
Nguyen HC | Viatnam | People visiting OPD of a hospital | 3947 | NR | 7.45 | NR | NR |
Zhang WR | China | Medical as well as nonmedical health worker | 2182 | 10.45 | 10.63 | NR | 33.87 |
Zhang Y | China | Local people | 263 | NR | NR | 7.6 | NR |
Ahmed MZ | China | Wechat users | 1074 | 28.96 | 37.15 | NR | NR |
Chen Y | China | Peadiatric medical staff working at high risk place | 105 | 18.1 | 29.52 | NR | NR |
Chew NWS | Singapore-India | Health care workers | 906 | 15.67 | 10.6 | 5.19 | NR |
Lei L | China | General population | 1593 | 8.35 | 14.69 | NR | NR |
Moghanibasi AM | Iran | General population | 10754 | 50.88 | NR | NR | NR |
Sacham M | Israel | Dentist and dental hygienist | 338 | NR | NR | 11.54 | NR |
Tan W | Singapore | Working population | 673 | 6.09 | 5.94 | 3.27 | 14.56 |
Yuvan S | China | General population | 939 | NR | NR | NR | 56.12 |
Zhu S | China | Health care workers frontline as well as nonfrontline | 2279 | 19.69a, 22c | 21.25a, 21.69c | NR | NR |
Li J | China | General population (no psychiatric history) included few COVID-cases | 5033 | 20.45 | 20.45 | NR | NR |
Zhou SJ | China | Adolecent | 8079 | 37.38 | 43.73 | NR | NR |
Liang L | China | Young general people | 584 | NR | NR | 14.38 | NR |
Zhang J | China | COVID-19 infected, quarantined patients and general population | 57 | 43.88c, 26.31d, 10e | 62.24c, 36.84d, 12e | NR | NR |
Hao F | China | Healthy subjects | 109 | 6.42 | 1.83 | 0.92 | 25.69 |
Jahanshahi AA | Iran | Iranian adults | 1058 | NR | NR | 61.06 | NR |
Ren Y | China | General population | 1172 | 13.31 | 18.77 | 7.00 | 7.25 |
Xingxing Li | China | Frontline healthcare | 948 | NR | NR | NR | 32.81 |
González-Sanguino C | Spain | General population | 3484 | 21.58 | 18.69 | 15.79 | NR |
Du J | China | Frontline healthcare workers | 310 | 9.03 | 5.48 | NR | NR |
Voitsidis P | Greece | Elderly population | 2363 | NR | NR | NR | 37.62 |
Odriozola-González P | Spain | Students and workers of a Spanish university | 3,707 | 35.18 | 48.10 | 40.33 | NR |
Abdessater M | France | Frontline g French urologists in training | 275 | NR | NR | 91.64 | NR |
Sherman A. Lee | USA | MTurk workers | 1237 | 35.97 | 40.02 | NR | NR |
Chen-Yun Liu | China | Frontline healthcare workers | 512 | 12.50 | NR | NR | NR |
Ferit Durankus | Turkey | Pregnant women | 260 | NR | 35.38 | NR | NR |
Tawfiq Choudhury | England | Frontline healthcare workers | 65 | 60.98 | 53.85 | NR | NR |
Nicola Cellini | Italy | General population | 1310 | 32.60 | 24.20 | 50.15 | NR |
Selçuk Özdin | Turkey | General Population | 343 | 45.19 | 23.62 | NR | NR |
Junling Gao | China | General population | 4872 | 22.60 | 48.30 | NR | NR |
Naiara Ozamiz-Etxebarria | Spain | General population | 976 | 26.02 | 18.85 | 23.67 | NR |
Michael Y Ni | China | General population and health professonals | 1791 | 21.96b, 23.84c | 19.59 | NR | NR |
Andrea Amerio | Italy | Frontline general practitioners | 131 | NR | 22.90 | NR | NR |
Chenxi Zhang | China | Frontline medical staffs | 1563 | 44.72 | 50.67 | NR | 36.08 |
Juhong Zhu | China | Frontline healthcare workers | 165 | 20.00 | 44.24 | NR | NR |
Cristina Mazza | Italy | General population | 2766 | 18.69 | 32.75 | 27.19 | NR |
Ugo Consolo | Italy | Dental practitioners | 356 | 57.30 | NR | NR | NR |
Yun Li | China | General population | 3637 | 27.50 | 31.21 | 17.60 | 33.71 |
Huang Y | China | General population and health care workers | 7236 | 35.64b, 34.85c | 19.82b, 20.21c | NR | 19.82b, 15.76c |
a Frontline Health Care Worker, bNonfrontline Healthcare Worker, cGeneral Population, dCOVID-19 patients, eQuarantined. NR: Not reported, COVID-19: Coronavirus disease-2019, OPD: Outpatient department