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\u27s Mechanical Turk provided perceptions of older Black and White models\u27 photographs. Using mixed-effect models, we assessed interactions between race and gender of participants and models.
RESULTS: Among Participants of Color and White participants (
DISCUSSION: Participants had few biases toward older Black and White models, while gender biases favored men

Breathett, Khadijah

Calhoun, Elizabeth

Hebdon, Megan C Thomas

Herrera-Theut, Kathryn

Knapp, Shannon M

Luy, Luis

Melton, Forest

Palmer, Kelly

Pool, Natalie

Solola, Sade

Sweitzer, Nancy

Yee, Erika

Yee, Ryan

Zabala, Leanne

Women s Health Reports

English

PubMed

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

Knapp, Shannon M.

Thomas Hebdon, Megan C.

IUPUIScholarWorks

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' 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.  © Forest Melton et al., 2022.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu

Melton, F.

Palmer, K.

Solola, S.

Luy, L.

Herrera-Theut, K.

Zabala, L.

Knapp, S.M.

Yee, R.

Yee, E.

Calhoun, E.

Hebdon, M.C.T.

Pool, N.

Sweitzer, N.

Breathett, K.

The University of Arizona

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

Hebdon, Megan C. Thomas

PubMed Central

Digital Commons@Becker

Race and gender-based perceptions of older septuagenarian adults

Forest Melton

Kelly Palmer

Sade Solola

Luis Luy

Kathryn Herrera-Theut

Leanne Zabala

Shannon M. Knapp

Ryan Yee

Erika Yee

Elizabeth Calhoun

Megan C. Thomas Hebdon

Natalie Pool

Nancy Sweitzer

Khadijah Breathett

Crossref

ScholarWorks  IU Indianapolis

https://www.liebertpub.com/doi/full-xml/10.1089/whr.2022.0063

Race and gender-based perceptions of older septuagenarian adults

Abstract

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IUPUIScholarWorks

The University of Arizona

PubMed Central

Digital Commons@Becker

Crossref

ScholarWorks IU Indianapolis