| Literature DB >> 36159238 |
Yu Li1,2,3,4, Wei Hua1,2,3,4, Jie Tang1,3,4, Lidan Xiong1,3,4, Li Li1,2,3,4.
Abstract
Background: The incidence of cosmetics-associated dermatoses is on the rise recently while the awareness and knowledge about proper utilization of cosmetics are insufficient in both the public and specialists due to limited education about cosmetics.Entities:
Keywords: cosmetics; education; massive open online course; public health promotion; skin care
Mesh:
Year: 2022 PMID: 36159238 PMCID: PMC9507002 DOI: 10.3389/fpubh.2022.951481
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Information about Appreciation and Analysis of Cosmetics.
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| Enrollment | 39,593 | 55,795 | 49,213 | 45,426 | 29,651 | 26,658 | 27,367 | 40,023 | 35,257 | 35,392 | 56,133 | 36,879 | 20,359 | 19,250 | 21,217 | 5,38,213 |
| Drop-out (%) | 3.59 | 1.56 | 2.05 | 3.27 | 2.60 | 3.27 | 2.13 | 1.89 | 1.81 | 9.63 | 10.01 | 9.54 | 9.65 | 9.91 | 6.43 | 4.87 |
| Learners taking the final exam | 465 | 322 | 109 | 195 | 379 | 299 | 891 | 422 | 633 | 416 | 1,214 | 1,347 | 346 | 103 | 192 | 7,333 |
| Pass rate (%) | 2.97 | 5.91 | 3.43 | 4.42 | 5.63 | 10.75 | 26.31 | 12.64 | 20.82 | 15.90 | 22.61 | 27.59 | 18.06 | 6.18 | 18.24 | 13.20 |
| Qualified (score ≥60) | 65 | 202 | 68 | 126 | 169 | 220 | 655 | 381 | 574 | 378 | 691 | 740 | 186 | 49 | 62 | 4,566 |
| Excellent (score: 85–100) | 7 | 10 | 7 | 11 | 11 | 26 | 35 | 83 | 188 | 212 | 436 | 520 | 88 | 33 | 22 | 1,699 |
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| Manufactures (5) | 4.55 | 4.64 | 4.62 | 4.72 | 4.55 | 4.61 | 4.55 | 4.55 | 4.64 | 4.6 | 4.55 | 4.55 | 4.47 | 4.13 | 4.33 | 4.57 |
| Functions (5) | 4.35 | 4.42 | 4.37 | 4.34 | 4.28 | 4.3 | 4.27 | 4.35 | 4.35 | 4.33 | 4.32 | 4.21 | 4.15 | 3.89 | 4.19 | 4.31 |
| Cosmetic-associated dermatology (5) | 5.00 | 4.9 | 4.9 | 5.00 | 4.9 | 4.9 | 4.8 | 4.9 | 4.9 | 4.9 | 4.8 | 4.8 | 4.9 | 4.9 | 4.7 | 4.87 |
| Final exam (100) | 69.95 | 73.49 | 72.66 | 70.9 | 70.25 | 74.18 | 77.54 | 77.61 | 76.77 | 79.96 | 87.21 | 93.52 | 85.56 | 87.35 | 81.64 | 81.35 |
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| Number of posts | 1,164 | 779 | 507 | 826 | 1,565 | 581 | 547 | 437 | 762 | 446 | 412 | 258 | 31 | 28 | 40 | 8,383 |
| Number of replies | 7,191 | 3,486 | 2,172 | 3,539 | 11,009 | 2,447 | 3,286 | 2,523 | 5,613 | 6,048 | 9,433 | 8,925 | 3,578 | 1,204 | 2,560 | 73,014 |
Figure 1The number of enrolled and drop-out participants from 1 to 15 semesters.
Demographic information of respondents (N = 645).
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| Female | 565 | 87.60 |
| Male | 80 | 12.40 |
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| 17–18 | 12 | 1.86 |
| 19–25 | 412 | 63.88 |
| 26–30 | 110 | 17.05 |
| 31–40 | 80 | 12.40 |
| 41–50 | 21 | 3.26 |
| 51–55 | 10 | 1.55 |
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| ≤High school students | 6 | 0.93 |
| High school degree | 22 | 3.41 |
| Bachelor degree | 484 | 75.04 |
| ≥Master degree | 133 | 20.62 |
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| Yes | 294 | 45.58 |
| No | 351 | 54.42 |
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| 1 week | 75 | 21.37 |
| 2 weeks | 72 | 20.51 |
| 1 month | 105 | 29.91 |
| 2 months | 67 | 19.09 |
| 3 months | 32 | 9.12 |
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| I didn't have enough time | 178 | 50.71 |
| Lack of practice | 35 | 9.97 |
| Lack of atmosphere | 22 | 6.27 |
| Unappealing teaching methods | 14 | 3.99 |
| Lack of face-to-face discussion | 14 | 3.99 |
| The knowledge was too technical to understand | 9 | 2.56 |
| Other reasons | 36 | 10.26 |
The questionnaire about cosmetics-related knowledge before and after attending the course.
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| 1. Absolutely not | 16 | 1 | 35 | 12 | 0.021 |
| 2. Partially know how to distinguish, but sometimes judge incorrectly | 134 | 35 | 175 | 114 | |
| 3. Partially know how to distinguish, and haven't misjudged so far | 113 | 224 | 120 | 196 | |
| 4. Have enough knowledge and understanding and can make correct judgments | 31 | 34 | 21 | 29 | |
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| 1. Absolutely no idea | 33 | 1 | 46 | 18 | <0.001 |
| 2. Roughly know the types but have no idea of their specific functions and risks | 178 | 26 | 183 | 118 | |
| 3. Exactly know the types and roughly know specific functions and risks, but unable to use them in practice. | 62 | 180 | 89 | 157 | |
| 4. Exactly know the types and specific functions, and able to use them in practice. | 21 | 87 | 33 | 58 | |
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| 1. Absolutely no idea | 96 | 6 | 124 | 27 | <0.001 |
| 2. Roughly know the types but have no idea of specific functions and risks | 147 | 57 | 170 | 161 | |
| 3. Exactly know the types and roughly know specific functions and risks | 40 | 181 | 50 | 135 | |
| 4. Exactly know the types and specific functions | 11 | 50 | 7 | 28 | |
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| 1. Absolutely not | 47 | 2 | 71 | 27 | <0.001 |
| 2. Know which type of products suit me, but unable to choose the specific product | 145 | 58 | 191 | 147 | |
| 3. Can pick up several candidates but cannot find out the best option | 84 | 170 | 72 | 139 | |
| 4. Can choose the products that suit me most | 18 | 64 | 17 | 38 | |
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| 1. Absolutely not | 51 | 6 | 56 | 21 | <0.001 |
| 2. Roughly know the definitions of what the advertisements advocate but have no idea of their truth or falsity | 129 | 37 | 166 | 107 | |
| 3. Roughly know the mechanisms of what the advertisements advocate, but cannot determine whether the benefits of the product outweigh the price | 89 | 183 | 112 | 172 | |
| 4. Exactly know the mechanisms and the actual value of what the advertisements advocate | 25 | 68 | 17 | 51 | |
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| 1. Absolutely not | 46 | 5 | 71 | 26 | <0.001 |
| 2. Roughly know what the logic behind those tips is but I have no idea of their truth or falsity | 141 | 56 | 166 | 133 | |
| 3. Can roughly judge the truth or falsity though I don't know the mechanisms well | 88 | 164 | 97 | 157 | |
| 4. Exactly know the mechanisms work and can clearly judge the truth or falsity of such tips | 19 | 69 | 17 | 35 | |
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| 1. Almost no changes (<10%) | 15 | 57 | <0.001 | ||
| 2. Mild changes (10–30%) | 104 | 183 | |||
| 3. Moderate changes (30–50%) | 135 | 94 | |||
| 4. Most attitudes and habits have been changed (>50%) | 40 | 17 | |||
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| 1. Getting worse | 3 | 4 | <0.001 | ||
| 2. Almost no changes | 112 | 201 | |||
| 3. Mild changes (<20%), such as getting smoother, white, soft or flexible | 156 | 131 | |||
| 4. Obvious positive changes (>20%) | 23 | 15 | |||
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| 1. Never recommend it to anyone | 3 | 11 | 0.001 | ||
| 2. It depends | 63 | 103 | |||
| 3. Might recommend it | 91 | 109 | |||
| 4. I will recommend it to everyone around me | 137 | 128 | |||
Figure 2(A) The Spearman correlation co-efficients of completed MOOC participants' skin care practice changes and skin improvements correlated with their post total scores are 0.406 and 0.393 respectively, and the correlation co-efficient of the correlation between scores of skin care changes and skin improvements is 0.306 (p = 0.000). (B) The Spearman correlation co-efficients of uncompleted MOOC participants' skin care practice changes and skin improvements correlated with their post-total scores are 0.502 and 0.463 respectively, and the correlation co-efficient of the correlation between scores of skin care changes and skin improvements is 0.434 (p = 0.000). (C) The Spearman correlation co-efficients of uncompleted MOOC participants' skin care practice changes and skin improvements correlated with their length of study time are 0.258 and 0.202 respectively (p = 0.000). ***: p = 0.0001. ****: p < 0.0001. MOOC, massive open online course.