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Skip search results from other journals and go to results- 4 JMIR Aging
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The term ageism, coined by Robert Butler in 1969, refers to age-based stereotyping, prejudice, and discrimination [34]. Self-perception of aging is another emergent concept related to ageism [35]. Ageism is global and prevalent in daily life [34,36,37], health care systems [34,38], and the news media [39,40]. It is present in various medicine specialties such as oncology [41] and cardiology [42] and was persistent during the COVID-19 pandemic [43,44].
JMIR Form Res 2025;9:e63494
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Distinguishing ageism from carefully reasoned clinical decisions can be challenging [6]. Health care professionals such as medical doctors, public health workers, nurses, dentists, pharmacists, and nutritionists may inadvertently perpetuate ageism, as it can be deeply embedded in daily procedures. As a result, older adults may not receive the same level of care as younger patients [7].
JMIR Res Protoc 2024;13:e62654
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Age Platform Europe, a network lobbying for the rights of older adults, began the #Ageing Equal campaign in 2018 to raise awareness of ageism [50]. More recently, the World Health Organization started the hashtag #AWorld4 All Ages in a bid to encourage individuals to build a more age-inclusive world [51]. Moving forward, age advocacy organizations could consider embedding their tweets with more hashtags to improve the visibility of their content.
JMIR Aging 2024;7:e49608
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Youth is Prized in Medicine, Old Age is Valued in Law: Analysis of Media Narratives Over 200 Years
The issue of youth-directed ageism is beyond the ambit of this study. Nevertheless, it cannot go unacknowledged that narratives on younger lawyers have become increasingly negative. Over the years, clarion calls have been sounded for bullying in the legal profession to end. In 2018, the International Bar Association surveyed 7000 lawyers from 135 countries on the topic of bullying and sexual harassment in the profession [55].
J Med Internet Res 2024;26:e45855
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Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review
When data are measured or gathered using improper tools or techniques, the resulting evaluation of the data by an ML model does not reflect the relevant variables within the data [5,9]
Digital ageism is a form of ageism perpetuated through the development, use, and deployment of technology and ML models [10,11].
JMIR Aging 2024;7:e53564
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Examining Public Awareness of Ageist Terms on Twitter: Content Analysis
Ageism has been defined as the “ideas, attitudes, beliefs, and practices on the part of individuals that are biased against persons or groups based on their age” [1] and “stereotyping and discrimination against individuals or groups based on their age” [2]. Ageism stems from everyday language that portrays older adults as a burden on society.
JMIR Aging 2023;6:e41448
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Understanding Intersectional Ageism and Stigma of Dementia: Protocol for a Scoping Review
Ageism and stigma reduce the quality of life of marginalized older adults, including those living with dementia. Research shows that ageism and stigma are associated with higher rates of discrimination, lifetime victimization, social exclusion, and poorer physical and mental health [1]. Older adults are often stigmatized because of stereotypes and negative beliefs associated with old age. This type of stigma related to aging is often referred to as age stigma or ageism [2].
JMIR Res Protoc 2023;12:e46093
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Ageism and Artificial Intelligence: Protocol for a Scoping Review
The World Health Organization recently published a policy brief entitled “Ageism in Artificial Intelligence in Health” [8]. However, ageism in AI extends beyond the confines of health care and health-related data and has been described as digital ageism [9]. Ageist attitudes, beliefs, and practices may be overt or covert; for example, these conditions may be created through the bias of omission or exclusion [10].
JMIR Res Protoc 2022;11(6):e33211
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Using Twitter to Examine Stigma Against People With Dementia During COVID-19: Infodemiology Study
Recently, an emerging body of literature has identified COVID-19-related stigma and ageism against older adults in social media discourse [12,13]. Ageism reflects how we think, feel, and act toward others or oneself based on age [14].
JMIR Aging 2022;5(1):e35677
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Yet, the specific influence of age-based stereotypes and ageism on the use and adoption of DT in care and health care, and the effect of social comparison and stereotype activation on health care professionals’ attitudes toward older adults in relation to DT, have not been investigated.
Ageism comprises stereotypes, prejudice, and discrimination toward a person based on their age [11].
J Med Internet Res 2021;23(4):e26232
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