| Literature DB >> 30607088 |
Mestawet Getachew1, Tsegaye Tewelde2.
Abstract
BACKGROUND: Cosmetics is applied to human body for cleansing, beautifying, promoting attractiveness or altering appearance. Cosmetics is causing alarming adverse events to its users, yet evidence about its magnitude and cosmetic use among female employees in Ethiopia is limited. Therefore, this study was aimed at determining cosmetic use and its adverse events among female employees of Jimma University.Entities:
Keywords: Cosmetic use; Jimma University; Southwest Ethiopia; adverse events; female employee
Mesh:
Substances:
Year: 2018 PMID: 30607088 PMCID: PMC6308756 DOI: 10.4314/ejhs.v28i6.6
Source DB: PubMed Journal: Ethiop J Health Sci ISSN: 1029-1857
Socio-demographic characteristics and cosmetic use among female employees of Jimma University, Southwest of Ethiopia, 2017 (n=387)
| Cosmetic use | ||||
| Variables | Categories | Yes (%) | No (%) | Frequency (%) |
| Age (in years) | 18–24 | 83(89.2) | 10(10.8) | 93(24) |
| 25–29 | 130(86.1) | 21(13.9) | 151(39) | |
| 30–34 | 45(70.3) | 19(29.7) | 64(16.5) | |
| ≥35 | 52(65.8) | 27(34.2) | 79(20.4) | |
| Educational status | Grade 1–12 | 77(63.1) | 45(36.9) | 122(31.5) |
| Above grade 12 | 233(87.9) | 32(12.1) | 265(68.5) | |
| Personal monthly income | <1000 | 81(64.3) | 45(35.7) | 126(32.6) |
| 1000–3000 | 127(83.6) | 25(16.4) | 152(39.3) | |
| ≥3000 | 102(93.6) | 7(6.4) | 109(28.2) | |
| Working category | Academic staff | 51(96.2) | 2(3.8) | 53(13.7) |
| Health professionals | 34(91.9) | 3(8.1) | 37(9.6) | |
| Administrative staff | 197(81.1) | 46(18.9) | 243(62.8) | |
| Cleaners | 28(51.9) | 26(48.1) | 54(14.0) | |
Current cosmetic product usage related characteristics among female employees of Jimma University, Southwest Ethiopia, 2017 (n=310)
| Variables | Categories | Frequency | Percentage |
| Purpose of using cosmetics | Cleaning | 11 | 3.5 |
| Body protection | 81 | 26.1 | |
| Beautification | 96 | 31.0 | |
| Correcting body odor | 21 | 6.8 | |
| For enjoyment | 8 | 2.6 | |
| Beautification and enjoyment | 93 | 30.0 | |
| Type of cosmetic product used | Toothpaste, lotion, lipstick, and eye make up | 269 | 86.8 |
| Deodorant and perfume | 15 | 4.8 | |
| Body cream and lotion | 10 | 3.2 | |
| Shampoos and conditioner | 6 | 1.9 | |
| Frequency of cosmetic use | Daily | 246 | 79.4 |
| For special occasion | 2 | .6 | |
| Sometimes | 62 | 20.0 | |
| Center for shopping cosmetics | Cosmetic shop | 28 | 9.0 |
| Supermarket | 65 | 21.0 | |
| Pharmacy | 103 | 33.2 | |
| Local shop | 85 | 27.4 | |
| Mixed | 29 | 9.4 | |
| Usually read information from | Yes | 288 | 92.9 |
| No | 22 | 7.1 | |
| Test cosmetics for adverse | Yes | 106 | 34.2 |
| No | 204 | 65.8 | |
| Shared cosmetic products with | Yes | 138 | 44.5 |
| No | 172 | 55.5 | |
| Using traditional cosmetics | Yes | 192 | 61.9 |
| No | 118 | 38.1 | |
| Adding water/other agent to | Yes | 112 | 36.1 |
| No | 198 | 63.9 |
Demographic and cosmetic related predictors for cosmetic adverse events among female employees of Jimma University, Southwest Ethiopia, 2017 (n=310)
| Cosmetic adverse events | COR(95%CI) | P-value | AOR(95%CI) | |||
| Variables | Categories | Yes (%) | No (%) | |||
| Age (in years) | 18–24 | 11(13.3) | 72(86.7) | 1.00 | .415 | |
| 25–29 | 29(22.3) | 101(77.7) | 1.9(.9, 4.0) | .102 | ||
| 30–34 | 8(17.8) | 37(82.2) | 1.4(.5, 3.8) | .493 | ||
| ≥35 | 11(21.2) | 41(78.8) | 1.8(.7, 4.4) | .230 | ||
| Educational status | Grade | 1–12 | 12(15.6) | 65(84.4) | 1.00 | |
| > grade 12 | 47(20.2) | 186(79.8) | 1.4(.7, 2.7) | .375 | ||
| <1000 | 7(8.6) | 74(97.4) | 1.00 | .029 | ||
| 1000–3000 | 29(22.8) | 98(77.2) | 3.1(1.3, 7.5) | .011 | 3.4(1.4, 8.4) | |
| ≥3000 | 23(22.5) | 79(77.5) | 3.1(1.2, 7.6) | .015 | 4.7(1.8,12.2) | |
| Daily use of cosmetics | Yes | 51(20.7) | 195(79.3) | 1.8(.8, 4.1) | .140 | |
| No | 8(12.5) | 56(87.5) | ||||
| Usual number of | 1–2 | 8(10) | 72(90) | .056 | ||
| 3 | 18(20.2) | 71(79.8) | 2.3(.9, 5.6) | .071 | ||
| ≥4 | 33(23.4) | 108(76.6) | 2.8(1.2, 6.3) | .017 | ||
| Usual shopping center | Local shop | 13(15.3) | 72(84.7) | 1.00 | .043 | |
| Supermarket | 8(12.3) | 57(87.7) | .8(.3, 2.0) | .602 | ||
| Pharmacy | 20(19.4) | 83(80.6) | 1.3(.6, 2.9) | .460 | ||
| Cosmetic | 11(39.3) | 17(60.7) | 3.6(1.4, 9.4) | .009 | ||
| Mixed | 7(24.1) | 22(75.9) | 1.8(.6, 5.0) | .284 | ||
| Yes | 49(25.5) | 143(74.5) | 3.7(1.8, 7.6) | .001 | 4.5(2.1, 9.6) | |
| No | 10(8.5) | 108(91.5) | 1.00 | |||
| Ever added water or other | Yes | 21(18.8) | 91(81.2) | .97(.5, 1.6) | .924 | |
| No | 38(19.2) | 160(80.8) | 1.00 | |||
| Shared cosmetics with | Yes | 29(21) | 109(79) | 1.3(.7, 2.2) | .426 | |
| No | 30(17.4) | 142(82.6) | 1.00 | |||
| Yes | 26(24.5) | 80(75.5) | 1.7(.9, 3.0) | .077 | .6(.3, 1.1) | |
| No | 33(16.2) | 171(73.8) | 1.00 | 1.00 | ||
variable remained within the final model but not statistically significant
variables significant in final model