| Literature DB >> 32738889 |
Trang H T Nguyen1, Bach X Tran2,3, Sau H Nguyen4,5, Carl A Latkin6, Cuong T Nguyen7,8, Son H Nguyen9, Hai Q Pham7,8, Cyrus S H Ho10, Roger C M Ho11,12, Jin-Kyoung Oh13.
Abstract
BACKGROUND: Raising awareness and educating people regarding practices for skin cancer or melanoma prevention are critical in the context of the adversely increasing effects of global climate change. This study aimed to explore the knowledge, attitudes, and practices regarding skin cancer prevention and to determine the associated factors to knowledge, attitudes, and practices among dermatological patients in Vietnam.Entities:
Keywords: Attitudes; Practices; Skin cancer
Mesh:
Year: 2020 PMID: 32738889 PMCID: PMC7395371 DOI: 10.1186/s12199-020-00875-4
Source DB: PubMed Journal: Environ Health Prev Med ISSN: 1342-078X Impact factor: 3.674
Characteristics of the participants who visited a hospital with dermatological issues in Hanoi, Vietnam, 2018
| Characteristics | Thinking he/she has a risk of skin cancer | ||||||
|---|---|---|---|---|---|---|---|
| No | Yes | Total | |||||
| % | % | % | |||||
| Male | 144 | 41.6 | 164 | 70.1 | 308 | 53.1 | < 0.01 |
| Female | 202 | 58.4 | 70 | 29.9 | 272 | 46.9 | |
| Under high school | 54 | 15.3 | 11 | 4.7 | 65 | 11.1 | < 0.01 |
| High school | 75 | 21.2 | 23 | 9.8 | 98 | 16.7 | |
| Vocational colleges | 59 | 16.7 | 23 | 9.8 | 82 | 13.9 | |
| University/postgraduate | 166 | 46.9 | 177 | 75.6 | 343 | 58.3 | |
| Single/divorce/separation | 127 | 35.7 | 59 | 25.2 | 186 | 31.5 | 0.01 |
| Living with a partner | 229 | 64.3 | 175 | 74.8 | 404 | 68.5 | |
| Freelancer | 134 | 37.7 | 35 | 15 | 169 | 28.7 | < 0.01 |
| White collar | 88 | 24.8 | 148 | 63.2 | 236 | 40.1 | |
| Blue collar | 50 | 14.1 | 18 | 7.7 | 68 | 11.5 | |
| Student | 43 | 12.1 | 16 | 6.8 | 59 | 10.0 | |
| Others | 40 | 11.3 | 17 | 7.3 | 57 | 9.7 | |
| Urban | 216 | 60.8 | 92 | 39.3 | 308 | 52.3 | < 0.01 |
| Rural | 139 | 39.2 | 142 | 60.7 | 281 | 47.7 | |
| Yes | 11 | 3.1 | 10 | 4.3 | 21 | 3.6 | 0.46 |
| No | 339 | 96.9 | 222 | 95.7 | 561 | 96.4 | |
| Lowest (0–10.000) | 140 | 41.08 | 54 | 24.43 | 194 | 35.53 | < 0.01 |
| Low (11.000–15.000) | 52 | 16.0 | 118 | 53.39 | 170 | 31.14 | |
| High (16.000–20.000) | 62 | 19.08 | 26 | 11.76 | 88 | 16.12 | |
| Highest (23.000–40.000) | 71 | 21.85 | 23 | 10.41 | 94 | 17.22 | |
| 35.9 | 14 | 34.8 | 9.1 | 35.5 | 12.3 | 0.19 | |
aEmployment: freelancer, people who are self-employed; white collar, office workers; blue collar, manual workers
bFamily income: we calculated the mean monthly household income of each group
Clinical characteristics of the study participants who visited a hospital with dermatological issues in Hanoi, Vietnam, 2018
| Characteristics | Thinking he/she has a risk of skin cancer | ||||||
|---|---|---|---|---|---|---|---|
| No | Yes | Total | |||||
| % | % | % | |||||
| Atopic dermatitis | 99 | 28.3 | 148 | 63.8 | 247 | 42.4 | < 0.01 |
| Contact dermatitis | 77 | 22 | 29 | 12.5 | 106 | 18.2 | < 0.01 |
| Psoriasis | 26 | 7.4 | 4 | 1.7 | 30 | 5.2 | < 0.01 |
| Skin infection | 20 | 5.7 | 1 | 0.4 | 21 | 3.6 | < 0.01 |
| Tinea | 63 | 18 | 21 | 9.1 | 84 | 14.4 | < 0.01 |
| Autoimmune skin disease | 3 | 0.9 | 4 | 1.7 | 7 | 1.2 | 0.45 |
| Urticaria | 49 | 14 | 31 | 13.4 | 80 | 13.7 | 0.83 |
| Warts | 18 | 5.1 | 10 | 4.3 | 28 | 4.8 | 0.65 |
| Zona | 32 | 9.1 | 13 | 5.6 | 45 | 7.7 | 0.12 |
| Herpes simplex | 8 | 2.3 | 5 | 2.2 | 13 | 2.2 | 0.92 |
| STDs | 8 | 2.3 | 5 | 2.2 | 13 | 2.2 | 0.92 |
| Others | 81 | 23.1 | 36 | 15.5 | 117 | 20.1 | 0.03 |
| No | 29 | 8.3 | 6 | 2.6 | 35 | 6.0 | 0.01 |
| Yes | 321 | 91.7 | 226 | 97.4 | 547 | 94.0 | |
| Healthy | 29 | 8.3 | 6 | 2.6 | 35 | 6.0 | < 0.01 |
| One disease | 203 | 58 | 166 | 71.6 | 369 | 63.4 | |
| More than one disease | 118 | 33.7 | 60 | 25.9 | 178 | 30.6 | |
Knowledge, attitudes, and practices for skin cancer prevention among participants in Hanoi, Vietnam, 2018
| Item | Male | Female | ||
|---|---|---|---|---|
| % | % | |||
| Skin cancer is not common in Vietnam | 241 | 78.2 | 177 | 65.1 |
| Skin cancer is benign | 151 | 49.0 | 214 | 78.7 |
| Skin cancer can be deadly | 89 | 28.9 | 114 | 41.9 |
| The risk of skin cancer decreases in cloudy days | 284 | 92.2 | 241 | 88.6 |
| Thinking he/she has a risk of skin cancer | 164 | 53.2 | 70 | 25.7 |
| Thinking his/her occupation increases skin cancer risk | 40 | 13.0 | 41 | 15.1 |
| Hat | 294 | 95.5 | 265 | 97.4 |
| Umbrella | 227 | 73.7 | 227 | 83.5 |
| Sunscreen coat | 258 | 83.8 | 266 | 97.8 |
| Sunscreen trousers | 134 | 43.5 | 250 | 91.9 |
| Sunglasses | 104 | 33.8 | 187 | 68.8 |
| Sunscreen | 40 | 13.0 | 206 | 75.7 |
| Go in the shade | 262 | 85.1 | 241 | 88.6 |
| Take sunscreen pills | 9 | 2.9 | 17 | 6.3 |
Sources of information on skin cancer among participants in Hanoi, Vietnam, 2018
| Characteristics | Thinking he/she has a risk of skin cancer | ||||||
|---|---|---|---|---|---|---|---|
| No | Yes | Total | |||||
| % | % | % | |||||
| Friends/relatives | 78 | 22.2 | 21 | 8.9 | 99 | 16.9 | < 0.01 |
| Poster/banner | 48 | 13.7 | 28 | 11.9 | 76 | 13.0 | 0.53 |
| Internet | 104 | 29.6 | 160 | 68.1 | 264 | 45.1 | < 0.01 |
| SMS/mobile phone | 53 | 15.1 | 24 | 10.2 | 77 | 13.1 | 0.09 |
| Television | 94 | 26.8 | 38 | 16.2 | 132 | 22.5 | < 0.01 |
| Community leader | 52 | 14.8 | 29 | 12.3 | 81 | 13.8 | 0.40 |
| Paper/book | 51 | 14.5 | 29 | 12.3 | 80 | 13.7 | 0.45 |
| Health workers | 82 | 23.4 | 39 | 16.6 | 121 | 20.6 | 0.05 |
| Social network | 82 | 23.4 | 47 | 20.0 | 129 | 22.0 | 0.34 |
| Others | 43 | 12.2 | 15 | 6.4 | 58 | 9.9 | 0.02 |
Factors associated with attitudes and practices for skin cancer prevention among participants in Hanoi, Vietnam, 2018
| Characteristics | Thinking he/she has a risk of skin cancer | Thinking his/her occupation increases skin cancer risk | Prevention for skin cancer | |||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95%CI | Coef | 95% CI | |
| 0.37*** | 0.23; 0.59 | 5.88*** | 5.07; 6.68 | |||
| − 0.04** | − 0.08; − 0.00 | |||||
| Vocational colleges | 1.97* | 0.91; 4.28 | 3.56*** | 1.89; 6.72 | ||
| University/postgraduate | 3.01*** | 1.52; 5.99 | 1.13*** | 0.29; 1.97 | ||
| 0.49** | 0.26; 0.92 | |||||
| White collar | 3.01*** | 1.70; 5.34 | ||||
| Blue collar | 2.73** | 1.21; 6.16 | 2.43** | 1.17; 5.04 | ||
| Student | 0.39 | 0.12; 1.28 | ||||
| Others | 1.86 | 0.85; 4.04 | 0.22** | 0.05; 0.97 | ||
| Low | 1.85** | 1.03; 3.30 | ||||
| Highest | − 1.24** | − 2.30; − 0.18 | ||||
| 1.59* | 0.93; 2.74 | 0.64 | 0.35; 1.20 | − 1.29*** | − 2.17; − 0.40 | |
| 3.57* | 0.83; 15.36 | |||||
| Friends/relatives | 0.40*** | 0.21; 0.75 | ||||
| Poster/banner | 1.78 | 0.83; 3.83 | ||||
| Internet | 4.29*** | 2.57; 7.16 | ||||
| SMS/mobile phone | 1.49** | 0.20; 2.78 | ||||
| Newspaper/magazine | 1.88* | 0.98; 3.62 | 1.73 | 0.84; 3.56 | ||
| Social network | 2.09*** | 1.07; 3.10 | ||||
| 2.16 | 0.78; 5.98 | 2.30 | 0.71; 7.53 | |||
***p < 0.01, **p < 0.05, *p < 0.1
aEmployment: freelancer, people who are self-employed; white collar, office workers; blue collar, manual workers
bFamily income: we calculated the mean monthly household income of each group