Table 1.
Characteristics of Included Studies
| Study | Citation | Country | Study Design | Response Rate (%) | Sample Size (n) | Male (%) | Age (mean ± SD) | Screening Tools and Cutoff Values | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Depression | Anxiety | Sleep Disturbances | ||||||||
| 2020 Amatori | (Amatori et al., 2020) | Italy | Cross-Sectional | 64 | 159 | 58 | 23.0 ± 4.0 | PHQ-9 ≥ 5 | - | - |
| 2020 Aslan | (Aslan et al., 2020) | Turkey | Cross-Sectional | 3 | 358 | 42 | 23.0 | PHQ-8 ≥ 10 | GAD-7 ≥ 10 | - |
| 2020 Aylie | (Aylie et al., 2020) | Ethiopia | Cross-Sectional | 98 | 314 | 37 | 22.6 ± 2.8 | DASS-21D ≥ 10 | DASS-21A ≥ 8 | - |
| 2020 Benham | (Benham, 2020) | USA | Repeated Cross-Sectional | - | 450 (T1), 345 (T2) | 27 | 21.1 ± 4.4 (T1), 22.7 ± 6.0 (T2) | - | - | PSQI > 5 |
| 2020 Biber | (Biber et al., 2020) | USA | Cross-Sectional | 50 | 1640 | 39 | - | - | GAD-7 ≥ 5 | - |
| 2020 Bourion-Bédès | (Bourion-Bédès et al., 2021) | France | Cross-Sectional | - | 3936 | 29 | 21.7 ± 4.0 | - | GAD-7 ≥ 5 | - |
| 2020 Chang | (Chang et al., 2020) | China | Cross-Sectional | 91 | 3881 | 37 | 20a | PHQ-9 ≥ 5 | GAD-7 ≥ 5 | - |
| 2020 Chen | (Chen et al., 2020) | China | Cross-Sectional | 89 | 323489 | 40 | - | PHQ-9 ≥ 10 | - | - |
| 2020 Chi | (Chi et al., 2020) | China | Cross-Sectional | 96 | 2038 | 37 | 20.6 ± 1.9 | PHQ-9 ≥ 10 | SAS ≥ 50 | - |
| 2020 Deng A | (B. Deng et al., 2020b) | China | Cross-Sectional | 99 | 517 | 26 | - | - | SAS ≥ 50 | - |
| 2020 Deng B | (C.-H. Deng et al., 2020a) | China | Cross-Sectional | 96 | 1607 | 65 | - | DASS-21D ≥ 10 | DASS-21A ≥ 7 | - |
| 2020 Dhar | (Dhar et al., 2020) | Bangladesh | Cross-Sectional | - | 15543 | 67 | - | - | GAD-7 ≥ 5 | - |
| 2020 Díaz-Jiménez | (Díaz-Jiménez et al., 2020) | Spain | Cross-Sectional | 20 | 365 | 10 | 23.2 ± 6.2 | - | DASS-21A ≥ 8 | - |
| 2020 Ding | (Ding and Hu, 2020) | China | Cross-Sectional | 95 | 3055 | 46 | - | Custom Questionnaire | Custom Questionnaire | - |
| 2020 Dong | (Dong, 2020) | China | Cross-Sectional | 97 | 4085 | 23 | 18.9 ± 0.6 | SCL-90 (Depression Domain) ≥ 2 | SCL-90 (Anxiety Domain) ≥ 2 | - |
| 2020 Dratva | (Dratva et al., 2020) | Switzerland | Cross-Sectional | 18 | 2223 | 33 | 26.4 ± 5.6 | - | GAD-7 ≥ 10 | - |
| 2020 Du | (Du et al., 2020) | China, Ireland, Malaysia, Taiwan, South Korea, Netherlands, USA | Cross-Sectional | - | 2254 | 31 | 22.5 ± 5.5 | - | GAD-7 ≥ 10 | PSQI > 5 |
| 2020 Essadek | (Essadek and Rabeyron, 2020) | France | Cross-Sectional | 13 | 8004 | 33 | 21.7 | PHQ-9 ≥ 10 | GAD-7 ≥ 7 | - |
| 2020 Fan A | (Fan et al., 2020) | China | Cross-Sectional | 97 | 4148 | 27 | 20.6 ± 1.5 | - | SAS ≥ 50 | - |
| 2020 Fan B | (Fan and Yu, 2020a) | China | Cross-Sectional | 93 | 932 | 47 | - | - | - | PSQI > 7 |
| 2020 Fan C | (Fan and Yu, 2020b) | China | Longitudinal | - | 406 | - | - | - | SAS ≥ 50 | - |
| 2020 Fawaz | (Fawaz and Samaha, 2020) | Lebanon | Cross-Sectional | 84 | 520 | 39 | 21.0 ± 2.7 | DASS-21D ≥ 10 | DASS-21A ≥ 8 | - |
| 2020 Feltz-Cornelis | (Van Der Feltz-Cornelis et al., 2020) | UK | Cross-Sectional | 5 | 925 | 26 | 27.5 | PHQ-9 ≥ 10 | GAD-7 ≥ 10 | - |
| 2020 Fu | (Fu et al., 2021b) | China | Cross-Sectional | - | 89588 | 44 | - | - | GAD-7 ≥ 5 | - |
| 2020 Gavurova | (Gavurova et al., 2020) | Slovakia | Cross-Sectional | 84 | 1523 | 36 | - | PHQ-9 ≥ 5 | - | - |
| 2020 Ge | (Ge et al., 2020) | China | Cross-Sectional | 80 | 2009 | 49 | - | - | GAD-7 ≥ 7 | ISI > 14 |
| 2020 Ghazawy | (Ghazawy et al., 2020) | Egypt | Cross-Sectional | - | 1335 | 38 | - | DASS-21D ≥ 10 | DASS-21A ≥ 8 | - |
| 2020 Graupensperger | (Graupensperger et al., 2020) | USA | Cross-Sectional | 58 | 135 | 37 | 19.8 ± 1.4 | PROMIS-8D T-Score ≥ 55 | - | - |
| 2020 Gritsenko | (Gritsenko et al., 2020) | Russia, Belarus | Cross-Sectional | - | 939 | 19 | 21.8 ± 5.4 | FCV-19S | - | - |
| 2020 Han | (Han et al., 2020) | China | Cross-Sectional | 93 | 405 | 33 | - | DASS-21D ≥ 10 | DASS-21A ≥ 8 | - |
| 2020 Islam | (Islam et al., 2020) | Bangladesh | Cross-Sectional | 95 | 476 | 67 | - | PHQ-9 ≥ 5 | GAD-7 ≥ 5 | - |
| 2020 Ji | (Ji et al., 2020) | China | Cross-Sectional | 98 | 515 | 24 | - | - | - | PSQI ≥ 8 |
| 2020 Jiang | (Jiang and Li, 2020) | China | Cross-Sectional | 96 | 472 | 42 | - | - | SCL-90 (Anxiety Domain) ≥ 2 | - |
| 2020 Khoshaim | (Khoshaim et al., 2020) | Saudi Arabia | Cross-Sectional | 8 | 400 | 25 | - | - | SAS ≥ 45 | - |
| 2020 Lai | (A. Y.-K. Lai et al., 2020) | UK, USA | Cross-Sectional | - | 124 | 36 | - | - | - | ISI ≥ 15 |
| 2020 Li | (Li et al., 2020) | China | Cross-Sectional | 96 | 1000 | - | 21.8 ± 2.5 | - | SAS ≥ 50 | - |
| 2020 Lian | (Lian et al., 2020) | China | Cross-Sectional | 96 | 1437 | 55 | - | SCL-90 (Depression Domain) ≥ 2 | SCL-90 (Anxiety Domain) ≥ 2 | - |
| 2020 Liang | (Liang et al., 2020) | China | Cross-Sectional | 1 | 4164 | 52 | - | PHQ-9 ≥ 5 | - | - |
| 2020 Lin A | (Lin et al., 2020b) | China | Cross-Sectional | - | 625 | 35 | 20.2 ± 1.9 | CES-D ≥ 16 | - | - |
| 2020 Lin B | (Lin and Xu, 2020) | China | Cross-Sectional | 98 | 1297 | 44 | - | PHQ-9 ≥ 5 | GAD-7 ≥ 5 | - |
| 2020 Liu | (Liu, 2020) | China | Cross-Sectional | 96 | 191 | - | - | SCL-90 (Depression Domain) ≥ 2 | SCL-90 (Anxiety Domain) ≥ 2 | - |
| 2020 Ma A | (L. Ma et al., 2020) | China | Cross-Sectional | 97 | 516 | 53 | 20.8 ± 1.4 | SCL-90 (Depression Domain) ≥ 2 | SCL-90 (Anxiety Domain) ≥ 2 | - |
| 2020 Ma B | (Z. Ma et al., 2020b) | China | Cross-Sectional | 91 | 746217 | 44 | - | PHQ-9 ≥ 7 | GAD-7 ≥ 7 | - |
| 2020 Naser | (Naser et al., 2020) | Jordan | Cross-Sectional | - | 1165 | 46 | - | PHQ-9 ≥ 5 | GAD-7 ≥ 5 | - |
| 2020 Nurunnabi | (Nurunnabi et al., 2020) | China | Cross-Sectional | - | 559 | 40 | - | - | Custom Questionnaire | - |
| 2020 Ozamiz-Etxebarria | (Ozamiz-Etxebarria et al., 2020) | Spain | Longitudinal | 92 | 44 | 16 | 19.5 | - | GAD-7 ≥ 7 | - |
| 2020 Pavithra | (Pavithra and Dheepak Sundar, 2020) | India | Cross-Sectional | - | 396 | 46 | - | - | - | Custom Questionnaire |
| 2020 Perz | (Perz et al., 2020) | USA | Cross-Sectional | - | 237 | 27 | 30.3 ± 10.2 | - | GAD-7 ≥ 5 | - |
| 2020 Qiu | (Qiu et al., 2020) | China | Cross-Sectional | 98 | 1100 | 29 | - | - | GAD-7 ≥ 5 | - |
| 2020 Ren | (Ren et al., 2020) | China | Cross-Sectional | - | 4560 | 27 | 21.1 ± 1.4 | SDS ≥ 53 | - | - |
| 2020 Rogowska A | (Rogowska et al., 2020b) | Ukraine | Cross-Sectional | 98 | 1512 | 31 | - | PHQ-9 ≥ 10 | GAD-7 ≥ 10 | - |
| 2020 Rogowska B | (Rogowska et al., 2020a) | Poland | Cross-Sectional | 100 | 914 | 57 | 23.0 ± 2.6 | - | GAD-7 ≥ 10 | - |
| 2020 Rudenstine | (Rudenstine et al., 2020) | USA | Cross-Sectional | 62 | 1821 | 27 | -b | PHQ-9 ≥ 5 | GAD-7 ≥ 5 | - |
| 2020 Saddik | (Saddik et al., 2020) | UAE | Longitudinal | 93 | 1090 | 28 | 20.5 ± 2.3 | - | GAD-7 ≥ 10 | - |
| 2020 Salman | (Salman et al., 2020) | Pakistan | Cross-Sectional | - | 1134 | 30 | 21.7 ± 3.5 | PHQ-9 ≥ 10 | GAD-7 ≥ 10 | - |
| 2020 Sañudo | (Sañudo et al., 2020) | Spain | Cross-Sectional | 14 | 20 | 55 | 22.6 ± 3.4 | - | - | PSQI > 5 |
| 2020 Sayeed | (Sayeed et al., 2020) | Bangladesh | Cross-Sectional | - | 589 | 66 | - | DASS-21D ≥ 10 | DASS-21A ≥ 7 | - |
| 2020 Scotta | (Scotta et al., 2020) | Argentina | Cross-Sectional | - | 584 | 18 | 22.5 ± 6.3 | - | - | ISI ≥ 15 |
| 2020 Sundarasen | (Sundarasen et al., 2020) | Malaysia | Cross-Sectional | 93 | 983 | 34 | - | - | SAS ≥ 45 | - |
| 2020 Tang | (Tang et al., 2020) | China | Cross-Sectional | 69 | 2485 | 39 | 19.8 ± 1.6 | PHQ-9 ≥ 10 | - | - |
| 2020 Tasnim | (Tasnim et al., 2020) | Bangladesh | Cross-Sectional | 98 | 3331 | 59 | 21.4 ± 1.9 | DASS-21D > 14 | DASS-21A > 10 | Custom Questionnaire |
| 2020 Thahir | (Thahir et al., 2020) | Indonesia | Cross-Sectional | - | 1044 | 17 | 21.1 ± 2.4 | KADS-6 ≥ 6 | - | - |
| 2020 Verma | (Verma, 2020) | India | Cross-Sectional | - | 131 | 48 | - | PHQ-9 ≥ 5 | GAD-7 ≥ 5 | - |
| 2020 Wang A | (Wang, 2020) | China | Cross-Sectional | 100 | 3178 | 28 | - | - | HAM-A ≥ 7 | - |
| 2020 Wang B | (Wang and Zhao, 2020) | China | Cross-Sectional | 95 | 3611 | 40 | - | - | SAS ≥ 50 | - |
| 2020 Wang C | (Z.-H. Wang et al., 2020) | China | Cross-Sectional | 80 | 44447 | 45 | 21.0 ± 2.4 | CES-D ≥ 28 | SAS ≥ 50 | - |
| 2020 Wang D | (S. Wang et al., 2020c) | China | Cross-Sectional | - | 1365 | 40 | -c | - | SAS ≥ 50 | - |
| 2020 Wang E | (X. Wang et al., 2020) | China | Cross-Sectional | - | 3092 | 34 | - | - | GAD-7 ≥ 5 | SRSS ≥ 23 |
| 2020 Wang F | (C. Wang et al., 2020b) | China | Longitudinal | 31 | 1172 | 39 | - | - | SAS ≥ 50 | - |
| 2020 Wang G | (Y. Wang et al., 2020d) | China | Cross-Sectional | 89 | 3179 | 30 | - | PHQ-9 ≥ 5 | GAD-7 ≥ 5 | - |
| 2020 Wathelet | (Wathelet et al., 2020) | France | Cross-Sectional | 4 | 69054 | 28 | -d | BID-13 ≥ 16 | STAI ≥ 56 | - |
| 2020 Wu A | (B. B. Wu et al., 2020) | China | Cross-Sectional | 95 | 807 | 51 | - | SCL-90 (Depression Domain) ≥ 2 | SCL-90 (Anxiety Domain) ≥ 2 | - |
| 2020 Wu B | (T. H. Wu et al., 2020) | China | Cross-Sectional | - | 11787 | 43 | 20.5 ± 1.8 | - | GAD-7 ≥ 5 | - |
| 2020 Xia | (Xia and Li, 2020) | China | Cross-Sectional | 100 | 1186 | 17 | - | - | EAS ≥ 40 | - |
| 2020 Xiang | (Xiang et al., 2020) | China | Cross-Sectional | 60 | 1396 | 63 | 20.7 ± 1.8 | SDS ≥ 50 | SAS ≥ 50 | - |
| 2020 Xiao | (Xiao et al., 2020) | China | Cross-Sectional | 100 | 3966 | 40 | - | PHQ-9 ≥ 5 | - | - |
| 2020 Xu | (Xu and Li, 2020) | China | Cross-Sectional | 97 | 6891 | 31 | - | SDS ≥ 53 | SAS ≥ 50 | - |
| 2020 Yang A | (Y. Y. Yang et al., 2020) | China | Cross-Sectional | 93 | 1667 | 48 | 20.6 ± 2.0 | PQEEPH | PQEEPH | - |
| 2020 Yang B | (X. J. Yang et al., 2020) | China | Cross-Sectional | 94 | 4139 | 35 | - | PHQ-9 ≥ 5 | GAD-7 ≥ 5 | - |
| 2020 Ye | (Ye et al., 2020) | China | Cross-Sectional | 96 | 5532 | 56 | - | Custom Questionnaire | Custom Questionnaire | Custom Questionnaire |
| 2020 Yi | (Yi et al., 2020) | China | Cross-Sectional | 91 | 393 | 31 | 21.7 ± 0.9 | SDS ≥ 53 | SAS ≥ 50 | - |
| 2020 Yue | (Yue et al., 2020) | China | Cross-Sectional | 100 | 737 | 29 | - | - | Custom Questionnaire | - |
| 2020 Zhang A | (Y. Zhang et al., 2020) | China | Longitudinal | 100 | 66 | 38 | 20.7 ± 2.1 | DASS-21D ≥ 10 | DASS-21A ≥ 8 | PSQI > 5 |
| 2020 Zhang B | (L. L. Zhang et al., 2020) | China | Cross-Sectional | - | 7833 | 27 | 19.8 ± 1.9 | PHQ-9 ≥ 5 | GAD-7 ≥ 5 | - |
| 2020 Zhang C | (X. Y. Zhang et al., 2020) | China | Cross-Sectional | 97 | 1409 | 52 | - | SDS ≥ 53 | SAS ≥ 50 | - |
| 2020 Zhang D | (B. Zhang et al., 2020) | China | Repeated Cross-Sectional | 99 (T1), 98 (T2) | 2504 (T1), 2647 (T2) | 27 | - | - | Custom Questionnaire | Custom Questionnaire |
| 2020 Zhang E | (J. Zhang et al., 2020) | China | Cross-Sectional | 91 | 312 | 21 | 19.6 ± 2.0 | PHQ-9 ≥ 5 | - | - |
| 2020 Zhao A | (Zhao, 2020) | China | Cross-Sectional | - | 376 | 19 | - | Custom Questionnaire | Custom Questionnaire | - |
| 2020 Zhao B | (Zhao et al., 2020) | Korea, China, Japan | Cross-Sectional | 99 | 821 | 37 | 23.1 ± 4.8 | PHQ-9 ≥ 5 | - | - |
Cells containing “-“ indicate that the study author did not provide any relevant information for that column.
Abbreviations: USA United States of America, UAE United Arab Emirates, UK United Kingdom, SD standard deviation, PHQ-9 Patient Health Questionnaire-9, GAD-7 General Anxiety Disorder 7-item scale, SAS Zung Self-Rating Anxiety Scale, DASS-21D Depression Anxiety Stress Scales depression subscale, DASS-21A Depression Anxiety Stress Scales anxiety subscale, PSQI Pittsburgh Sleep Quality Index, ISI Insomnia Severity Index, PROMIS-8D Patient-Reported Outcomes Measurement Information System Depression-8, FCV-19S Fear of COVID-19 Scale, SCL-90 Symptom Checklist-90, HAM-A Hamilton Anxiety Rating Scale, CES-D Center for Epidemiologic Studies Depression Scale, EAS Existence of Anxiety Scale, PQEEPH Psychological Questionnaires for Emergent Events of Public Health, SRSS Self-Rating Scale of Sleep, KADS Kutcher Adolescent Depression Scale, BID-13 13-item Beck Depression Inventory, STAI State-Trait Anxiety Inventory, PHQ-8 Patient Health Questionnaire-8.
The interquartile range was 19-22.
The median age was 26.2 with a range of 18-77.
The age range was 18-28.
The median age was 20.0 with an interquartile range of 18-22.