Abstract

Ageism refers to stereotyping (how we think), prejudice (how we feel), and discrimination (how we act) against people based on their age. It is a serious public health issue that can negatively impact older people’s health and quality of life. The present protocol has several goals: (1) adapt the Ambivalent Ageism Scale for the general Portuguese population and healthcare professionals; (2) assess the factorial invariance of the questionnaire between general population vs. healthcare professionals; (3) evaluate the level of ageism and its predictors in the general population and evaluate the level of ageism and its predictors in healthcare professionals; (4) compare the levels of ageism between groups and the invariance between groups regarding the explanatory model of predictors of ageism. This quantitative, cross-sectional, descriptive, observational study will be developed in partnership with several Healthcare Professional Boards/Associations, National Geriatrics and Gerontology Associations, and the Universities of the Third Age Network Association. The web-based survey will be conducted on a convenience sample recruited via various social media and institutional channels. The survey consists of three questionnaires: (1) Demographic data; (2) Ambivalent Ageism Scale; (3) Palmore-Neri and Cachioni questionnaire. The methodology of this study will include translation, pilot testing, semantic adjustment, exploratory and confirmatory factor analysis, and multigroup analysis of the Ambivalent Ageism Scale. Data will be treated using International Business Machines Corporation (IBM®) Statistical Package for the Social Sciences (SPSS) software and Analysis of Moment Structures (AMOS). Descriptive analysis will be conducted to assess the level of ageism in the study sample. The ageism levels between the two groups will be compared using the t-student test, and two Structural Equation Modeling will be developed to evaluate the predictors of ageism. Assessing ageism is necessary to allow healthcare professionals and policymakers to design and implement strategies to solve or reduce this issue. Findings from this study will generate knowledge relevant to healthcare and medical courses along with anti-ageism education for the Portuguese population.

Highlights

  • The demographic aging of the population is one of humanity’s greatest triumphs and challenges

  • A term first coined by Robert Butler, refers to stereotyping, prejudice, and discrimination against people by their age [5], has been identified as a serious threat to active aging and a major public health issue [6]

  • These findings suggest that negative stereotypes, prejudice, or discrimination against people by their age can become internalized to such an extent that conscious or unconscious influence the person’s cognitive and/or physical capacity

Read more

Summary

Introduction

The demographic aging of the population is one of humanity’s greatest triumphs and challenges. Numerous studies have verified that ageism negatively impacts older people in several distinct dimensions such as memory and cognitive performance [11,12], health and wellbeing [13], social isolation and loneliness [14], job performance [15], decreased quality of life [13], and even their will-to-live [16]. These findings suggest that negative stereotypes, prejudice, or discrimination against people by their age can become internalized to such an extent that conscious or unconscious influence the person’s cognitive and/or physical capacity. For researchers to measure attitudes toward older adults, allowing us to assess different elements of ageist attitudes and benevolent and hostile ageism [9]

Objective
Sample Size Calculation
Partner Institutions
Data Collection
The Survey
2.10. Ambivalent Ageism Scale Translation and Cultural Validation
2.10.1. Stage I—Forward Translation
2.10.2. Stage II—Back-Translation
2.10.3. Stage III—Questionnaire Pilot Test and Semantic Adjustment
2.11. Data Analysis
2.12. Ethics and Procedures
2.13. Confidentiality and Data Retention
Findings
Discussion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call