Preliminary validation of experienced ageism measures with four populations in the United States

Abstract

Objectives: Ageism appears widely across the globe and poses an important threat to older people's well-being and health. With respect to hearing health, experiences, perceptions, and fear of ageism can delay the diagnosis of hearing loss, reduce pursuit of hearing care, and fuel reluctance to wear a hearing device. Ageism intertwines with hearing loss stigma, which potentially deepens the negative effects of both; however, little evidence exists to quantify the effects of the intersection of ageism and hearing loss stigma. This lack of data on both hearing loss stigma and ageism, and their intersection, may stem from the lack of validated measures for both. Therefore, as part of a parent study to develop and preliminarily validate d/Deaf and hard of hearing stigma measures, we also adapted and preliminarily validated measures of both experienced and observed ageism. Design: We adapted four ageism measures through a literature review, expert discussions, and cognitive interviews and validated them in the United States through self-administered online surveys with convenience samples of (1) people aged 60 and older who became d/Deaf or hard of hearing (d/DHH) after developing language or in adulthood ("acquired" d/DHH), (2) care partners of people aged 60 or older who are d/DHH (acquired), (3) health care providers, and (4) the general population. For each of the scales, we applied exploratory factor analysis and estimated scale reliability with ordinal alpha. Results: For the population of persons over age 60 who are d/DHH (acquired) (N = 146), nine social stigma items and four employment discrimination items loaded well onto two separate factors, one which measures social stigma and one which measures employment discrimination. All loadings were >0.7. The two factors were moderately correlated at 0.428. For care partners of people aged 60 or older who are d/DHH (N = 72), nine items loaded well onto a single factor, with loadings between 0.650 and 0.936 and an ordinal alpha of 0.95. Among the general population (N = 312), 10 items loaded cleanly onto a single factor, with loadings between 0.702 and 0.919 and an ordinal alpha of 0.96. For the health care providers (N = 203), 11 items loaded well onto a single factor, with loadings between 0.541 and 0.874. For these three populations, each of the single factors measure social stigma. Conclusions: Ageism threatens the health and wellbeing of older people in both high- and low-income countries. Validated measures of ageism are necessary to understand the relationship between ageism, d/DHH stigma and the well-being of older adults and to design effective ageism-reduction and mitigation interventions. This preliminary validated set of experienced ageism measures offers a starting point for more studies that not only further validate these measures but are larger in scale, occur in more diverse settings, and provide insights into the experience of ageism and its effects on the health and well-being of older adults.