# Age And Other Individual Difference Variables Predict Ageism Awareness

## TL;DR

The study finds that age and sex influence how people view ageism, with older individuals and women perceiving it as a more significant issue.

## Contribution

The study identifies age and sex as key predictors of ageism awareness in a diverse sample.

## Key findings

- Age and sex uniquely predict how prominent people believe ageism to be.
- Lower hostile ageism is associated with a higher perception of ageism as an issue.
- Benevolent ageism does not significantly affect perceptions of ageism.

## Abstract

One in every two people endorses ageist attitudes (WHO, 2021). Identifying the 50% who do and do not endorse such attitudes may reduce bias in Society. We examined beliefs about ageism among an age-diverse sample, including 231 US-based adults (51.9% female; Mage= 47.51, SD = 16; 67.5% WNH). A hierarchical regression examined how prominent an issue people believe ageism to be (M = 2.38 out of 4, SD = 0.88). In Step 1, age, sex, and race were entered into the model. Results were significant, F (3,227) = 9.13, p < .001, but only 10.8% of the variance in how prominent an issue people believe ageism to be was explained. Age and sex uniquely contributed to the model, (βage = .26, p< .001) and (βsex = .16, p < .05). In Step 2, hostile and benevolent ageism were added to the model to determine if a person’s attitude regarding older adults impacted their perception of ageism as a problem. Results were significant, F (5, 225) = 9.6.40, p < .001, with only 12.4% of the variance in how prominent an issue people believe ageism to be was explained. Lower hostile ageism uniquely contributed to the model (β = -0.12, p < .05), while benevolent ageism was nonsignificant (β = .07, p = .26). Results of the current study call attention to ageism as a problem and draw attention to the impact it has on older adults is a step forward in combatting stereotypes, prejudice, and discrimination.

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Source: https://tomesphere.com/paper/PMC12761109