| Literature DB >> 34135649 |
Juan Chen1, Yong-Ran Cheng2, Wen Wen1, Chunyi Wang1, Jie Ni1, Jingjie Jiang1, Xinyan Fu1, Mengyun Zhou3, Lan Ye4, Zhong-Jun Ge5, Han-Xia Tan6, Mingwei Wang1, Zhan-Hui Feng7, Xingwei Zhang1.
Abstract
BACKGROUND: Many people have experienced novel coronavirus pneumonia since the beginning of the COVID-19 pandemic in Wuhan, China. The Chinese government has encouraged people to wear face masks in public places; however, due to the large population, there may be a series of problems related to this recommendation, including shortages of masks and lack of an optimal disposal method for used masks.Entities:
Keywords: COVID-19; epidemic outbreak; mask
Year: 2021 PMID: 34135649 PMCID: PMC8190958 DOI: 10.2147/RMHP.S305748
Source DB: PubMed Journal: Risk Manag Healthc Policy ISSN: 1179-1594
Baseline Characteristics of the Respondents
| Num | Constituent Ratio (%) | |
|---|---|---|
| Gender | ||
| Male | 777 | 38% |
| Female | 1265 | 62% |
| Age group(year) | ||
| <40 | 1398 | 68% |
| ≥40 | 644 | 32% |
| Profession | ||
| Medical staff | 1041 | 51% |
| Non-medical staff | 1001 | 49% |
| Region | ||
| Eastern region | 825 | 40% |
| Western region | 605 | 30% |
| Central region | 612 | 30% |
| Cultural level | ||
| Bachelor degree or above | 1599 | 78% |
| Below undergraduate level | 443 | 22% |
Figure 1Pie chart showing answers. (A) Constituent ratio of reusing masks is 61%; (B) Constituent ratio of obtaining masks at the local pharmacy is 19%; (C) Constituent ratio of buying expensive masks is 32%.
Figure 2Pie chart of answers. (A) Constituent ratio of knowing what to do with the used mask is 86%; (B) Constituent ratio of discarding the used masks by themselves at will is 7%; (C) Constituent ratio of observing others throw away their used masks is 50%.
Differences in Gender, Region and Occupation Between Repeated Use and Non-Repeated Use of Masks. The Number of People with Repeated Use of Masks in Central Region Was More Than These in Eastern Region and Western Region (P<0.05); the Number of Medical Staff with Repeated Use of Masks Was More Than That of Non-Medical Staff (P<0.05). There Was No Difference Between Male and Female (P>0.05)
| Variable | Yes | No | X2 | |
|---|---|---|---|---|
| Sex | 1.01 | 0.31 | ||
| Male | 464(59.7%) | 313(40.3%) | ||
| Female | 785(57.5%) | 580(42.5%) | ||
| Region | 49.28 | P<0.05 | ||
| Eastern region | 483(58.5%) | 342(41.5%) | ||
| Western region | 328(53.6%) | 284(46.4%) | ||
| Central region | 438(72.4%) | 167(27.6%) | ||
| Profession | 100.82 | <0.05 | ||
| Medical staff | 719(69.1%) | 322(30.9%) | ||
| Non-medical staff | 471(47.1%) | 530(52.9%) |
Note: Do you reuse masks? The answer is yes or no.
Differences in Gender, Region and Occupation Between Getting the Masks and Not Getting the Mask in Drugstore. Female, the People Living the Central Region and Medical Staff May Be More Likely to Be Unable to Buy a Mask (P<0.05)
| Variable | Yes | No | X2 | |
|---|---|---|---|---|
| Sex | 16.02 | <0.05 | ||
| Male | 183(23.6%) | 594(76.4%) | ||
| Female | 206(16.3%) | 1059(83.7%) | ||
| Region | 29.245 | <0.05 | ||
| Eastern region | 153 (18.5%) | 673 (81.5%) | ||
| Western region | 156 (25.4%) | 456 (74.6%) | ||
| Central region | 81 (13.4%) | 524(86.6%) | ||
| Profession | 331.04 | <0.05 | ||
| Medical staff | 158 (15.2%) | 883(84.8%) | ||
| Non-medical staff | 231 (23.4%) | 770(76.6%) |
Note: Can you get masks at the local pharmacy? The answer is yes or no.
Differences in Gender, Region and Occupation Between Buying the Expensive Masks and Not Buying Expensive the Mask in Drugstore. Non-Medical Staff May Be More Likely to Be Buy an Expensive Mask (P<0.05)
| Variable | Yes | No | X2 | |
|---|---|---|---|---|
| Sex | 4.00 | 0.05 | ||
| Male | 229 (29.5%) | 548 (70.5%) | ||
| Female | 428 (33.8%) | 837 (66.2%) | ||
| Region | 3.5965 | 0.17 | ||
| Eastern region | 283(34.3%) | 542(65.7%) | ||
| Western region | 195(31.8%) | 417(68.2%) | ||
| Central region | 179(29.6%) | 426(70.4%) | ||
| Profession | 5.8093 | 0.02 | ||
| Medical staff | 309(29.7%) | 732(70.3%) | ||
| Non-medical staff | 348(34.8%) | 653(65.2%) |
Note: Do you buy expensive masks? The answer is yes or no.
Differences in Gender, Region and Occupation Between Knowing to Deal with the Used Masks and Not Knowing to Do That. Female, the People Living in Western Region and Medical Staff May Be More Likely to Know to Deal with the Used Masks Bye the Right Way (P<0.05)
| Variable | Yes | No | X2 | |
|---|---|---|---|---|
| Sex | 42.71 | <0.05 | ||
| Male | 622(80.0%) | 155(20.0%) | ||
| Female | 1143(90.3%) | 122(9.7%) | ||
| Region | 18.53 | <0.05 | ||
| Eastern region | 700(84.9%) | 125(15.1%) | ||
| Western region | 553(91.1%) | 52(8.9%) | ||
| Central region | 512(84.2%) | 100(15.8%) | ||
| Profession | 111.59 | <0.05 | ||
| Medical staff | 982(99.5%) | 59(0.5%) | ||
| Non-medical staff | 783(78.2%) | 218(21.8%) |
Note: A: Do you know how to deal with used masks by the right way? The answer is yes or no.
Differences in Gender, Region and Occupation Between Throwing the Mask at Will by Themselves and Not Throwing the Used Masks at Will. Female, the People in Western Region and Medical Staff May Be More Likely to Be Unable to Throw the Used Masks at Will (P<0.05)
| Variable | Yes | No | X2 | |
|---|---|---|---|---|
| Sex | 6.72 | 0.001 | ||
| Male | 66 (8.5%) | 711 (91.5%) | ||
| Female | 69 (5.5%) | 1196 (94.5%) | ||
| Region | 15.96 | 0.0003 | ||
| Eastern region | 62 (7.5%) | 763 (92.5%) | ||
| Western region | 20(3.3%) | 585(96.7%) | ||
| Central region | 53(8.6%) | 559(91.4%) | ||
| Profession | 14.43 | 0.0001 | ||
| Medical staff | 47(4.5%) | 994 (95.5%) | ||
| Non-medical staff | 88(8.8%) | 913 (91.2%) |
Note: Have you thrown away your used mask at will? The answer is yes or no.
Differences in Gender, Region and Occupation Between Finding Throwing the Used Masks by Others and Not Finding Throwing the Used Masks by Others. Medical Staff May Be More Likely to Find the Others to Throw the Used Masks (P<0.05)
| Variable | Yes | No | X2 | |
|---|---|---|---|---|
| Sex | 0.023 | 0.879 | ||
| Male | 388 (49.9%) | 389 (50.1%) | ||
| Female | 626 (49.4%) | 639 (50.6%) | ||
| Region | 1.74 | 0.43 | ||
| Eastern region | 413(50.6%) | 412(49.4%) | ||
| Western region | 310(51.2%) | 295(48.8%) | ||
| Central region | 291(47.5%) | 321(52.5%) | ||
| Profession | 94.12 | <0.05 | ||
| Medical staff | 627 (60.2%) | 414 (39.8%) | ||
| Non-medical staff | 387 (38.7%) | 614 (61.3%) |
Note: Do you see people throwing masks at will? The answer is yes or no.