Race and Gender-Based Perceptions of Older Septuagenarian Adults
Objectives: Older adults face racism, sexism, and ageism. As the U.S. population ages, it is important to understand how the current population views older adults. Methods: Participants recruited through Amazon's Mechanical Turk provided perceptions of older Black and White models' photogr...
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Published in: | Women's health reports (New Rochelle, N.Y.) Vol. 3; no. 1; pp. 944 - 956 |
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Main Authors: | , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Mary Ann Liebert, Inc., publishers
01-11-2022
Mary Ann Liebert |
Subjects: | |
Online Access: | Get full text |
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Summary: | Objectives:
Older adults face racism, sexism, and ageism. As the U.S. population ages, it is important to understand how the current population views older adults.
Methods:
Participants recruited through Amazon's Mechanical Turk provided perceptions of older Black and White models' photographs. Using mixed-effect models, we assessed interactions between race and gender of participants and models.
Results:
Among Participants of Color and White participants (
n
= 712, 70% non-Hispanic White, 70% women, mean 37.81 years), Black models were perceived as more attractive, less threatening, and sadder than White models, but differences were greater for White participants (race-by-race interaction: attractive
p
= 0.003, threatening
p
= 0.009, sad
p
= 0.016). Each gender perceived their respective gender as more attractive (gender-by-gender interaction
p
< 0.0001). Male and female participants perceived male models as happier than female models, but differences were greater for male participants (
p
= 0.026). Irrespective of participant age group, women were perceived as more threatening (
p
= 0.012). Other perceptions were not significant.
Discussion:
Participants had few biases toward older Black and White models, while gender biases favored men. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 iORCID ID (https://orcid.org/0000-0002-8616-5855). iiORCID ID (https://orcid.org/0000-0001-5397-6419). |
ISSN: | 2688-4844 2688-4844 |
DOI: | 10.1089/whr.2022.0063 |