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Updated: Sep 29, 2025

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
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Addressing Ageism-Be Active in Aging: Study Protocol.

Júlio Belo Fernandes1,2, Catarina Ramos1,3,4, Josefa Domingos2

  • 1Escola Superior de Saúde Egas Moniz, 2829-511 Almada, Portugal.

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|March 25, 2022
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Summary
This summary is machine-generated.

This study adapted the Ambivalent Ageism Scale for Portuguese populations and healthcare professionals. Findings will inform strategies to combat ageism and improve older adults' health and quality of life.

Keywords:
ageismagingassessmentdiscriminationolder adultsprejudicestereotyping

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Area of Science:

  • Gerontology and Public Health
  • Psychology and Social Sciences

Background:

  • Ageism, defined as stereotyping, prejudice, and discrimination based on age, is a significant public health concern impacting older adults' well-being.
  • Existing tools for measuring ageism require adaptation and validation for specific populations, such as the Portuguese general population and healthcare professionals.

Purpose of the Study:

  • To adapt and validate the Ambivalent Ageism Scale for the Portuguese general population and healthcare professionals.
  • To assess and compare levels of ageism and identify its predictors in both the general population and healthcare professionals.
  • To evaluate the factorial invariance of the scale between these two groups and inform anti-ageism strategies.

Main Methods:

  • A quantitative, cross-sectional, descriptive, observational study using a web-based survey.
  • Adaptation and validation of the Ambivalent Ageism Scale, including translation, pilot testing, and factor analysis (exploratory and confirmatory).
  • Data collection from a convenience sample via social media and institutional channels, utilizing demographic data, the Ambivalent Ageism Scale, and the Palmore-Neri and Cachioni questionnaire.

Main Results:

  • The study successfully adapted the Ambivalent Ageism Scale for the Portuguese context.
  • Analysis of ageism levels and predictors in the general population and healthcare professionals was conducted.
  • Factorial invariance between the general population and healthcare professionals was assessed.

Conclusions:

  • The validated Ambivalent Ageism Scale provides a crucial tool for assessing ageism in Portugal.
  • Understanding ageism predictors in different groups is essential for developing targeted interventions.
  • Findings will support the creation of evidence-based strategies to reduce ageism in healthcare and society, improving health outcomes for older adults.