| Literature DB >> 35991375 |
Hossein Abdolrahimzadeh Fard1, Roham Borazjani1, Amir Hossein Shams1, Vala Rezaee1, Shiva Aminnia2, Maryam Salimi2, Mahsa Ahadi1, Shahram Paydar1, Shahram Bolandparvaz1, Nikta Rabiei2, Sanaz Zare3, Leila Shayan1, Mina Sadeghi1.
Abstract
Objective: To evaluate the presence/severity of depression, anxiety, and stress among health care workers (HCWs) who work on the specially allocated COVID-19 ward (Group A) and HCWs on the other wards (Group B).Entities:
Keywords: Anxiety; COVID-19; Healthcare workers; Pandemic; Pneumonia; Stress
Year: 2022 PMID: 35991375 PMCID: PMC9373054 DOI: 10.30476/BEAT.2022.94720.1344
Source DB: PubMed Journal: Bull Emerg Trauma ISSN: 2322-2522
Patterns of distribution of DASS parameters between two study groups
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| Depression | 0.354 | ||
| Normal (0-9) | 21 (63.6%) | 83 (43.9%) | |
| Mild (10-13) | 2 (6.1%) | 17 (9.0%) | |
| Moderate (14-20) | 4 (12.1%) | 34 (18.0%) | |
| Severe (21-27) | 4 (12.1%) | 36 (19.0%) | |
| Extremely Severe (+28) | 2 (6.1%) | 19 (10.1%) | |
| Anxiety | 0.061 | ||
| Normal (0-7) | 21 (63.6%) | 75 (39.7%) | |
| Mild (8-9) | 2 (6.1%) | 11 (5.8%) | |
| Moderate (10-14) | 5 (15.2%) | 28 (14.8%) | |
| Severe (15-19) | 1 (3.0%) | 28 (14.8%) | |
| Extremely Severe (+20) | 4 (12.1%) | 47 (24.9%) | |
| Stress | 0.093 | ||
| Normal (0-14) | 20 (60.6%) | 70 (37.0%) | |
| Mild (15-18) | 5 (15.2%) | 27 (14.3%) | |
| Moderate (19-25) | 4 (12.1%) | 58 (30.7%) | |
| Severe (26-33) | 3 (9.1%) | 24 (12.7%) | |
| Extremely Severe (+34) | 1 (3.0%) | 10 (5.3%) |
aGroup A: Respondents working on COVID-19 designated wards; bGroup B: Participants working on the other wards; cDASS: Depression-Anxiety-Stress Score; dChi-square test.
Socio-demographic characteristics of the respondents by the working wards (n=222)
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| Age+ | 31.37±5.96 | 29.75±5.57 | 31.72±6.35 | 0.102d |
| Sex | 0.667c | |||
| Male | 56 (25.2%) | 7 (21.2%) | 49 (25.9%) | |
| Female | 166 (74.8%) | 26 (78.8%) | 140 (74.1%) | |
| Last academic degree | 0.387c | |||
| Academic | 197 (88.7%) | 31 (93.9%) | 166 (87.8%) | |
| Non-academic | 25 (11.3%) | 2 (6.1%) | 23 (12.1) | |
| Marital Status | 0.005c | |||
| Single | 105 (47.3%) | 23 (69.7%) | 82 (43.4%) | |
| married | 117 (52.7%) | 10 (30.3%) | 107 (56.6%) | |
| Service duratione | 8.78± 4.23 | 9.31±6.63 | 8.57±5.04 | 0.565d |
| Psychiatric problem | 1.000c | |||
| Yes | 5 (2.3%) | 0 (0.0%) | 5 (2.6%) | |
| No | 217 (97.7%) | 33 (100.0%) | 184 (97.4%) | |
| Psychiatric drug | 1.000c | |||
| Yes | 25 (11.3%) | 3 (9.1%) | 22 (11.6%) | |
| No | 197 (88.7%) | 30 (90.9%) | 167 (88.4%) |
aGroup A: Respondents working on COVID-19 designated wards; bGroup B: Participants working on the other wards; cChi-square test; dIndependent t-test; e Mean±Standard deviation.
Comparison of different DASS parameters between two study groups
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| Depression | 8.27 ± 10.60 | 13.60 ± 10.95 | 0.102 |
| Anxiety | 7.51± 8.44 | 12.57 ± 9.78 | 0.006 |
| Stress | 12.09 ±10.38 | 17.31±9.79 | 0.006 |
aGroup A: Respondents working on COVID-19 designated wards; bGroup B: participants working on the other wards; cDASS: Depression-Anxiety-Stress Score; dSD: Standard Deviation; eIndependent t-test.