| Literature DB >> 35642175 |
Ning Liu1, Min Ye2, Qinya Zhu2, Dingchao Chen3, Mingmin Xu4, Jia He5, Qian Li4, Jie Li6.
Abstract
Background: Coronavirus disease 2019 (COVID-19) has developed into a worldwide pandemic, which presents several challenges for frontline health-care workers (HCWs). HCWs are highly prone to various skin diseases due to prolonged use of personal protective equipment (PPE). The most frequently used type of PPE is facemasks. To effectively control adverse skin reactions, there is an urgent need for a range of preventive practices.Entities:
Keywords: COVID-19; coronavirus; dermatitis; facemask; health care; protective equipment; skin care
Year: 2022 PMID: 35642175 PMCID: PMC9148581 DOI: 10.2147/CCID.S365390
Source DB: PubMed Journal: Clin Cosmet Investig Dermatol ISSN: 1178-7015
The Sociodemographic Characteristics and Facemask Characteristics of the Participants (n = 1090)
| Characteristic | Classification | Total Participants (%) | Adverse Reactions (%) | No Adverse Reactions (%) | |
|---|---|---|---|---|---|
| Age (years) | 20–35 | 632(57.98%) | 559(88.45%) | 73(11.55%) | 0.230 |
| 35–45 | 347(31.83%) | 311(89.63%) | 36(10.37%) | ||
| 45–55 | 100(9.17%) | 93(93.00%) | 7(7.00%) | ||
| > 55 | 11(1.01%) | 10(90.91%) | 1(9.09%) | ||
| Gender | Male | 233(21.38%) | 213(91.42%) | 20(8.58%) | 0.237 |
| Female | 857(78.62%) | 760(88.68%) | 97(11.32%) | ||
| Occupation | Doctor | 454(41.65%) | 427(94.05%) | 27(5.95%) | <0.001* |
| Nurse | 636(58.3%) | 546(85.85%) | 90(14.15%) | ||
| Department | General outpatient clinic (including medical technicians) | 387(35.50%) | 355(91.73%) | 32(8.27%) | 0.013* |
| Emergency ward | 56(5.14%) | 52(92.86%) | 4(7.14%) | ||
| General ward | 489(44.86%) | 433(88.55%) | 56(11.45%) | ||
| Operation room | 86(7.89%) | 68(79.07%) | 18(20.93%) | ||
| ICU | 56(5.14%) | 49(87.50%) | 7(12.50%) | ||
| Fever outpatient | 7(0.64%) | 7(100.00%) | 0(0%) | ||
| Other | 9(0.83%) | 9(100.00%) | 0(0%) | ||
| Skin allergy history | Yes | 231(21.19%) | 220(95.24%) | 11(4.76%) | 0.082 |
| No | 734(66.42%) | 628(86.74%) | 96(13.26%) | ||
| Unsure | 135(12.39%) | 125(92.59%) | 10(7.41%) | ||
| Hospital rank | Primary hospital | 35(3.21%) | 35(87.50%) | 5(12.50%) | 0.004* |
| Secondary hospital | 659(60.46%) | 605(91.81%) | 54(8.19%) | ||
| Tertiary hospital | 396(36.33%) | 338(85.35%) | 58(14.65%) | ||
| Facemask type | N 95 | 19(1.74%) | 19(100.00%) | 0(0%) | 0.153 |
| Surgical mask | 1071(98.26%) | 954(89.08%) | 117(10.92%) | ||
| Facemask model | Hanging ear | 871(79.91%) | 789(90.59%) | 82(9.41%) | 0.007* |
| Strains | 219(20.09%) | 184(84.02%) | 35(15.98%) | ||
| Discriminating size code | Yes | 56(5.14%) | 45(80.36%) | 11(19.64%) | 0.042* |
| No | 1034(94.86%) | 928(89.75%) | 106(10.25%) | ||
| Duration of mask wear# | 4–6 hours | 324(29.72%) | 264(81.48%) | 60(18.51%) | <0.001* |
| 6–8 hours | 356(32.66%) | 319(89.61%) | 37(10.39%) | ||
| 8–10 hours | 260(23.85%) | 248(95.38%) | 12(4.62%) | ||
| 10–12 hours | 52(4.77%) | 50(96.15%) | 2(3.85%) | ||
| > 12 hours | 98(8.99%) | 92(93.88%) | 6(6.12%) |
Notes: P values were obtained using the Mann–Whitney U-test; #Health care workers wore facemasks for more than 4 hours a day; *P ≤ 0.05.
Abbreviation: ICU, intensive care unit.
Associations Between Facemask Types and ADRs Types
| Characteristic | Surgical Facemask (n = 954) | N95 Facemask (n = 136) | ||
|---|---|---|---|---|
| Upper respiratory symptoms | 73 (7.65%) | 16 (11.76%) | 2.685 | 0.101 |
| Chest tightness and shortness of breath | 363 (38.05%) | 57 (41.91%) | 6.626 | 0.010* |
| Nose pain and indentation | 217 (22.75%) | 40 (29.41%) | 2.935 | 0.088 |
| Damaged skins on nose | 136 (14.26%) | 22 (16.18%) | 0.354 | 0.552 |
| Ear pain and indentation | 754 (79.04%) | 110 (80.88%) | 0.247 | 0.619 |
| Facial skin pain and indentation | 358 (37.53%) | 47 (34.56%) | 0.449 | 0.503 |
| Face eczema | 209 (21.91%) | 43 (31.62%) | 6.314 | 0.012* |
| Damaged facial skin | 57 (5.97%) | 12 (8.82%) | 1.629 | 0.202 |
| Other ADRs | 91 (9.54%) | 10 (7.35%) | 0.676 | 0.411 |
| No significant ADRs | 136 (14.26%) | 18 (13.24%) | 0.102 | 0.749 |
Notes: P values were obtained using the Mann–Whitney U-test; *P ≤ 0.05.
Abbreviation: ADRs, adverse reactions.
Associations Between Facemask Models and ADRs Types
| Characteristic | Hanging Ear (n = 871) | Strains (n = 219) | ||
|---|---|---|---|---|
| Upper respiratory symptoms | 70 (8.04%) | 19 (8.68%) | 0.095 | 0.758 |
| Chest tightness and shortness of breath | 261 (29.97%) | 69 (31.51%) | 0.197 | 0.657 |
| Nose pain and indentation | 210 (24.11%) | 52 (23.74%) | 0.013 | 0.910 |
| Damaged skins on nose | 125 (14.35%) | 33 (15.06%) | 0.073 | 0.788 |
| Ear pain and indentation | 730 (83.81%) | 134 (61.19%) | 54.504 | <0.001* |
| Facial skin pain and indentation | 323 (37.08%) | 82 (37.44%) | 0.010 | 0.922 |
| Face eczema | 204 (23.42%) | 48 (21.92%) | 0.223 | 0.637 |
| Damaged facial skin | 54 (6.20%) | 15 (6.85%) | 0.124 | 0.724 |
| Other ADRs | 42 (4.82%) | 25 (11.42%) | 13.188 | <0.001* |
| No significant ADRs | 104 (11.94%) | 50 (22.83%) | 17.108 | <0.001* |
Notes: P values were obtained using the Mann–Whitney U-test; *P ≤ 0.05.
Abbreviation: ADRs, adverse reactions.
Associations Between Facemask Discriminating Size Code and ADRs Types
| Characteristic | Discriminating Size Code (n = 56) | Undiscriminating Size Code (n = 1034) | ||
|---|---|---|---|---|
| Upper respiratory symptoms | 6 (10.71%) | 63 (6.09%) | 1.967 | 0.157 |
| Chest tightness and shortness of breath | 21 (37.50%) | 403 (38.97%) | 0.049 | 0.826 |
| Nose pain and indentation | 15 (26.79%) | 241 (23.31%) | 0.358 | 0.550 |
| Damaged skins on nose | 8 (14.28%) | 150 (14.51%) | 0.002 | 0.963 |
| Ear pain and indentation | 38 (67.86%) | 826 (79.88%) | 4.675 | 0.031* |
| Facial skin pain and indentation | 19 (33.93%) | 386 (37.33%) | 0.263 | 0.608 |
| Face eczema | 11 (19.64%) | 240 (23.21%) | 0.381 | 0.537 |
| Damaged facial skin | 6 (10.71%) | 63 (6.09%) | 1.913 | 0.160 |
| Other ADRs | 5 (8.93%) | 97 (9.38%) | 0.013 | 0.910 |
| No significant ADRs | 12 (21.43%) | 142 (13.73%) | 2.593 | 0.107 |
Notes: P values were obtained using the Mann–Whitney U-test; *P ≤ 0.05.
Abbreviation: ADRs, adverse reactions.
Associations Between Durations of Mask Use and ADRs Types
| 4–6 Hours (n = 324) | 6–8 Hours (n = 356) | 8–10 Hours (n = 260) | 10–12 Hours (n = 52) | > 12 Hours (n = 98) | |||
|---|---|---|---|---|---|---|---|
| Upper respiratory symptoms | 17 (5.25%) | 24 (6.74%) | 28 (10.77%) | 6 (11.54%) | 14 (14.29%) | 32.246 | <0.001* |
| Chest tightness and shortness of breath | 98 (30.25%) | 138 (38.76%) | 113 (43.46%) | 48 (92.31%) | 47 (47.96%) | 75.545 | <0.001* |
| Nose pain and indentation | 51 (15.74%) | 83 (23.31%) | 69 (26.54%) | 15 (28.85%) | 36 (36.73%) | 22.676 | <0.001* |
| Damaged skins on nose | 33 (10.18%) | 42 (11.80%) | 42 (16.54%) | 12 (23.08%) | 29 (29.59%) | 22.036 | <0.001* |
| Ear pain and indentation | 229 (70.68%) | 285 (80.06%) | 220 (84.62%) | 46 (88.46%) | 84 (85.71%) | 24.354 | <0.001* |
| Facial skin pain and indentation | 89 (27.47%) | 121 (33.99%) | 110 (42.31%) | 24 (46.15%) | 51 (52.04%) | 28.511 | <0.001* |
| Face eczema | 51 (15.74%) | 56 (15.73%) | 67 (25.77%) | 10 (19.23%) | 37 (37.76%) | 32.085 | <0.001* |
| Damaged facial skin | 20 (6.17%) | 21 (5.90%) | 18 (6.92%) | 5 (9.62%) | 5 (5.10%) | 1.475 | 0.807 |
| Other ADRs | 30 (9.26%) | 25 (7.02%) | 30 (11.54%) | 1 (1.92%) | 12 (12.24%) | 8.219 | 0.072 |
| No significant ADRs | 76 (23.46%) | 48 (13.48%) | 20 (7.69%) | 3 (5.77%) | 7 (7.14%) | 39.175 | <0.001* |
Notes: P values were obtained using an r × c chi-square test; *P ≤ 0.05.
Abbreviation: ADRs, adverse reactions.