| Literature DB >> 35333869 |
Anthonieta Looman Mafra1, Caio S A Silva1, Marco A C Varella1, Jaroslava V Valentova1.
Abstract
Women wearing makeup are perceived by others as more attractive, competent, dominant, and more socially prestigious. Individuals differ in how much and how frequently they use makeup. Some studies show that women with lower self-esteem use more makeup, probably to hide imperfections. However, women with higher self-esteem can also use makeup to attract attention. This study verified whether social and general self-esteem and body image are associated with makeup usage in Brazilian women. We collected data from 1,483 women (Mage = 31.08; SD = 11.15) about body image (appearance orientation and appearance evaluation), social self-esteem, general self-esteem, and makeup usage (frequency of makeup usage, time spent applying makeup per day, and money spent on makeup per month). Appearance orientation positively predicted frequency of makeup usage, time spent applying makeup, and money spent on makeup, whereas appearance evaluation inversely predicted money spent on makeup per month. Social self-esteem and general self-esteem also positively predicted money spent on makeup, but in different directions. The results suggest that the significance given to appearance and social interactions are importantly associated with makeup usage in women.Entities:
Mesh:
Year: 2022 PMID: 35333869 PMCID: PMC8956164 DOI: 10.1371/journal.pone.0265197
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Kendall correlations between makeup usage, social self-esteem, general self-esteem, body image, and sociodemographic variables.
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** Correlation is significant at the 0.01 level (2 ends).
* The correlation is significant at the 0.05 level (2 ends).
Categorical regressions.
| R | Adjusted R2 | F | df | p | Factor | B | p | |
|---|---|---|---|---|---|---|---|---|
|
| .536 | .274 | 22.891 | 984 | ≤.001 | |||
| General | .155 | |||||||
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| .0331 | .624 | ||||||
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| .487 | ≤.001 | ||||||
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| .048 | .386 | ||||||
| Age | .181 | ≤.001 | ||||||
| Family income | .052 | .065 | ||||||
| Educational level | .019 | .704 | ||||||
|
| .461 | .195 | 12.152 | 1014 | ≤.001 | |||
| General | -.084 | .009 | ||||||
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| .087 | ≤.001 | ||||||
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| .393 | ≤.001 | ||||||
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| -.073 | .013 | ||||||
| Age | 0.195 | ≤.001 | ||||||
| Family income | 0.115 | ≤.001 | ||||||
| Educational level | -.078 | .380 | ||||||
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| .477 | .214 | 17.266 | 17, 997 | ≤.001 | |||
| General | -.119 | .119 | ||||||
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| .021 | .873 | ||||||
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| .455 | ≤.001 | ||||||
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| .054 | .295 | ||||||
| Age | .074 | .011 | ||||||
| Family income | -.044 | .205 | ||||||
| Educational level | -.078 | .315 |