Ageism and lookism as stereotypes of health disparity in intensive care units in Iran: a critical ethnography.

BACKGROUND: The intensive care unit presents structural complexities, and the prevailing power imbalance between patients and staff can lead to health disparities. Hence, unveiling the underlying factors that give rise to and reinforce these disparities can contribute to their prevention. This study aims to shed light on the stereotypes linked to ageism and lookism, which perpetuate health disparities within the intensive care unit setting in Iran. METHODS: This critical ethnographic study employed Carsepkan's approach and was carried out in intensive care units in the west of Iran from 2022 to 2023. The data collection and analysis were conducted through three interconnected stages. In the initial stage, more than 300 h of observations were made at the research site. In the subsequent stage, a horizon analysis was performed. Conversations with 14 informants were conducted in the final stage to enrich the dataset further. Then the analysis process was carried out as in the previous step to uncover an implicit culture of health disparity. To verify the validity and reliability of the study, credibility, conformability, dependability, and transferability were all taken into account. FINDINGS: The ageism and lookism stereotypes emerged from seven main themes; youth-centric; negative ageism; age-friendliness; age-related priority; centered care for pediatric patients and families; appearance-centeredness; and a contradiction between belief and behavior. CONCLUSION: This critical study showed that ageism and lookism stereotypes permeated the intensive care unit's culture. These stereotypes have the potential to influence equality dynamics, as well as to foster and support health disparity in the intensive care unit.

Carving and making space through dance - Older people using dance to experience their ageing body and challenge ageist discourse.

Drawing on qualitative data from a study of older adults' participation in a contemporary dance group, this paper asks what can be gained from new materialist concepts of the older body, and how they can expand cultural gerontological thinking about embodiment. This paper examines the connections between the older body, movement, thoughts, words and spaces, arguing that dance demonstrates that there is a spatial dimension to embodiment. In drawing from models of materiality emerging in gerontology, this paper provides insights about the experience of age, questioning fundamental categorizations promoted in Western culture, and re-thinks agency in relation to the body and space. Emphasising the importance of the material world in the production of the social has important implications in terms of understanding the experience of ageing within an ageist society.

Representation of older adults in Turkish newspaper reports during the COVID-19 pandemic.

This research investigates the representation of older adults in Turkish newspaper reports during the first national lockdown due to the COVID-19 pandemic in Turkey in order to understand the representation and reinforcement of ageism in this context. To this end, fifty newspaper reports from five top-selling Turkish newspapers at the time were selected randomly and analysed using critical discourse analysis for the text producers' linguistic choices in the representations of older adults. The findings show that the older adults were represented predominantly in relation to the lockdown measures and as members of a homogeneous group. They were mainly evaluated negatively as a vulnerable, passive, and at risk group who lacked truthfulness and exhibited unusual behaviour. They were also found to be not among the intended readers of the newspaper reports. This resulted in the infantilisation of older adults and the removal of their agency. Our findings point to the linguistic choices realising these discursive practices in the Turkish context. We argue that these findings follow a trend of representation of older adults in discursive practices and that these practices are instrumental in forming ageist stereotypes and reinforcing age-related bias.

Hattie and Sammler: Saul Bellow's older woman and older man.

Hattie in Saul Bellow's "Leaving the Yellow House" and Sammler in Bellow's Mr. Sammler's Planet are both elderly characters. This article intends to compare the two characters from a gender perspective, to illustrate how these characters appear to experience and respond to old age and how other characters in these two fictions respond to the old age of their respective elderly characters. The comparison of these two characters in the fiction of Saul Bellow gives rise to the observation that old age is not merely a phase of negative changes but also of positive ones; ageism claims victims among both men and women whose suffering is aggravated by other kinds of injustice, such as racism and sexism.

Ageism and the digital divide in Switzerland during COVID-19: Lessons for the post-pandemic world.

The COVID-19 pandemic erupted in early 2020. The Swiss Federal Council implemented a semi-lockdown in March 2020, asking people, particularly older adults, to stay at home to limit the transmission of the disease and to use digital tools to maintain their social relations and activities. This study inquired how older adults confronting precarity experienced these restrictions, how digital tools functioned in this context, and what learning could therefore be imbibed for the post-pandemic era. We conducted semi-structured telephone interviews with adults aged between 66 and 90 years living in a rural and mountainous Swiss region. The obtained data were subsequently thematically analyzed. The results revealed that the respondents experienced ageism during the semi-lockdown and reported limited or non-existent opportunities to use digital tools to maintain online social contact. This predicament increased their sense of loneliness and amplified their feelings of rejection by the outside world. These observations elucidate the need for the enhancement of non-ageist social support for older people, including individuals with limited social and material resources. We advocate the adoption of innovative initiatives in the post-pandemic era to better include precarious older people in our localities and neighborhoods.

Fairer AI in ophthalmology via implicit fairness learning for mitigating sexism and ageism.

The transformative role of artificial intelligence (AI) in various fields highlights the need for it to be both accurate and fair. Biased medical AI systems pose significant potential risks to achieving fair and equitable healthcare. Here, we show an implicit fairness learning approach to build a fairer ophthalmology AI (called FairerOPTH) that mitigates sex (biological attribute) and age biases in AI diagnosis of eye diseases. Specifically, FairerOPTH incorporates the causal relationship between fundus features and eye diseases, which is relatively independent of sensitive attributes such as race, sex, and age. We demonstrate on a large and diverse collected dataset that FairerOPTH significantly outperforms several state-of-the-art approaches in terms of diagnostic accuracy and fairness for 38 eye diseases in ultra-widefield imaging and 16 eye diseases in narrow-angle imaging. This work demonstrates the significant potential of implicit fairness learning in promoting equitable treatment for patients regardless of their sex or age.

The shifts in intergenerational relations in Cameroon and their potential impact on the health of older adults.

INTRODUCTION: Africa is experiencing a gradual demographic shift due to rising life expectancy and increasing urbanisation. In sub-Saharan Africa, elderly individuals typically reside with their children. The rise in life expectancy by almost a decade and the prevalence of precarious living conditions raise concerns about the sustainability of the healthcare system, which has traditionally relied on intergenerational solidarity. METHODS: The research aims to analyse the evolving role of older adults in Cameroonian society and to examine the potential impact of this change on intergenerational relationships and the health of older adults. A qualitative methodology was employed, using intergenerational focus groups in Cameroon. RESULTS: Traditionally, older adults held a central role in knowledge transmission through discourse. However, the modernisation of society is challenging this position.The emergence of new technologies, particularly communication tools, is leading to a questioning of older adults' experiential knowledge. Societal changes are contributing to a decline in respect for older adults in discourse. Older adults deplore these societal changes and fear for their place in society while young people are questioning the central role of older people in society. DISCUSSION: These changes could reduce the sense of usefulness of older people, with negative consequences for their health. Several studies have highlighted the impacts of ageism on the health of older adults in industrialised countries. However, there are little data on the impact of the marginalisation of older adults on their health in industrialising societies. Further research is needed to study the impact on the health of older adults.

Professional attractiveness among long-term care workers in nursing homes in China: a cross-sectional study.

BACKGROUND: The population aging trend and the shortage of elderly care workers require the long-term care profession to become more attractive. However, the professional attractiveness among long-term care workers has yet to be extensively studied. This study aims to identify the factors that influence the attractiveness of the long-term care profession for nursing home (NH) care workers.. METHODS: A cross-sectional study was conducted in more than 50 NHs. Perception of professional attractiveness among long-term care workers and potential associated factors were measured using the Attractive Work Questionnaire (AWQ) and structural instruments including the Fraboni Scale of Ageism (FSA) and the Maslach Burnout Inventory (MBI). A multiple linear regression method was employed to explore the influence of potential independent variables on professional attractiveness. RESULTS: The overall response rate was 99%. The results showed the score of professional attractiveness (185.37 ± 20.034), as well as the scores of each component (99.26 ± 11.258 for work condition, 30.13 ± 3.583 for work content, and 55.99 ± 7.074 for job satisfaction). Findings of multiple linear regression analysis indicated that age(ß = 0.129, p<.05), years of work(ß = 0.156, p<.05), 12-hour shifts(ß = 0.185, p<.05), and training times per year(ß = 0.148, p<.05) positively associated with long-term care workers perceived professional attractiveness. Whereas only ageism(ß=-0.267, p<.05) significantly and negatively influenced professional attractiveness. CONCLUSIONS: The perceived professional attractiveness of long-term care workers in NHs was acceptable. Age, years of work, shifts, training opportunities, and ageism contributed to the professional attractiveness of nursing home care workers in China. Target intervention measures should be taken to enhance the attractiveness of long-term care careers so as to avoid the shortage of long-term care workers.

Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review.

BACKGROUND: Research suggests that digital ageism, that is, age-related bias, is present in the development and deployment of machine learning (ML) models. Despite the recognition of the importance of this problem, there is a lack of research that specifically examines the strategies used to mitigate age-related bias in ML models and the effectiveness of these strategies. OBJECTIVE: To address this gap, we conducted a scoping review of mitigation strategies to reduce age-related bias in ML. METHODS: We followed a scoping review methodology framework developed by Arksey and O'Malley. The search was developed in conjunction with an information specialist and conducted in 6 electronic databases (IEEE Xplore, Scopus, Web of Science, CINAHL, EMBASE, and the ACM digital library), as well as 2 additional gray literature databases (OpenGrey and Grey Literature Report). RESULTS: We identified 8 publications that attempted to mitigate age-related bias in ML approaches. Age-related bias was introduced primarily due to a lack of representation of older adults in the data. Efforts to mitigate bias were categorized into one of three approaches: (1) creating a more balanced data set, (2) augmenting and supplementing their data, and (3) modifying the algorithm directly to achieve a more balanced result. CONCLUSIONS: Identifying and mitigating related biases in ML models is critical to fostering fairness, equity, inclusion, and social benefits. Our analysis underscores the ongoing need for rigorous research and the development of effective mitigation approaches to address digital ageism, ensuring that ML systems are used in a way that upholds the interests of all individuals. TRIAL REGISTRATION: Open Science Framework AMG5P; https://osf.io/amg5p.

Attitudes and perceptions about ageism among nursing students: a scoping review.

OBJECTIVE: to map scientific knowledge on nursing students' attitudes and perceptions regarding ageism. METHOD: scoping review according to the recommendations of the Joanna Briggs Institute. The study question was: What are scientific evidence available on the attitudes and perceptions of nursing students regarding ageism? The search was conducted in 12 databases using the Rayyan application and the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. The studies were selected by two reviewers using a data extraction tool. RESULTS: of the 4,595 files, 46 that were published between 1984 and 2022 were selected, and the quantitative method was the most used. The most commonly used instrument was the Kogan's Attitudes Toward Old People Scale. Positive, negative, mixed, neutral, and inconclusive attitudes and perceptions were identified. CONCLUSION: attitudes and perceptions about ageism are diverse and not conclusive. Future intervention studies are recommended to detect changes in the behavior of nursing students in the face of ageism. BACKGROUND: (1) Attitudes and perceptions about ageism are diverse and not conclusive. BACKGROUND: (2) Importance of discussing ageism in the training of nursing students. BACKGROUND: (3) Intervention studies to identify paradigm shifts in nursing students.

Age differences in emotional reactions to ageist memes and changes in age of one's Best Self.

Memes on social media can carry ageist messages and can elicit reactions that are both emotional and self-evaluative. The present study investigates age-related differences in nine discrete emotions and in the evaluation of when individuals have been or will be their best selves. Participants (n = 360) representing young (m = 26 years), middle-aged (m = 39 years) and older adults (m = 63 years) were randomly assigned to view either non-ageist (animals) or ageist (e.g., incompetent older people) memes. After viewing memes, we assessed nine emotional reactions (i.e., fear, anger, sadness, happiness, anxiety, discomfort, disgust, surprise, enjoyment) and Best Self evaluations. Younger and middle-aged people reported more intense emotional reactions to memes than older people, with the exception that older people reported more discomfort and disgust in response to ageist versus non-ageist memes. Younger adults were less surprised by ageist memes (vs. non-ageist) and for all age groups ageist memes (vs. non-ageist) elicited less happiness and enjoyment and were less likely to be shared. With respect to evaluations of one's Best Self, older individuals were more likely to report being their best selves in the past, while after viewing ageist memes, younger individuals were more likely to report being their best selves in the future. Emotions of disgust and discomfort were related to identifying one's Best Self as further in the past. The current study adds to the literature on the impact of ageism by examining age-related differences in the emotions and self-evaluations experienced when confronted with memes on social media.

Effects of workplace ageism on negative perception of aging and subjective well-being of older adults according to gender and employment status.

AIM: According to stereotype embodiment theory, workplace ageism can worsen older adults' self-perceptions of aging and subjective well-being. However, there has been little research on gender differences in this regard. This study examined the effects of workplace ageism on attitudes toward aging and subjective well-being according to gender and employment status. METHODS: We carried out an online survey of 600 participants aged 60-74 years in October 2021. Participants were equally divided into women who had worked full-time, women who had worked part-time and men who had worked full-time, and further divided by current employment status, forming a total of six groups for comparison. RESULTS: A total of 75% of the participants perceived some form of workplace ageism. Structural equation modeling showed that, for men and women in full-time employment, workplace ageism was associated with a negative self-perception of aging and poor subjective well-being, the effect of which was strong among those currently employed and weak among those who had retired. For women working part-time, the impact of workplace ageism on subjective well-being was stronger among those who were currently unemployed. CONCLUSION: Workplace ageism exacerbates older adults' self-perception of aging and decreases their subjective well-being. Women working part-time might quit their jobs when their subjective well-being worsens due to workplace ageism. Therefore, it is necessary to create a workplace environment that is comfortable for older workers and free of ageism. Geriatr Gerontol Int 2024; 24: 259-265.

[Negative stereotypes of old age in new resident medical interns]. / Estereotipos negativos de la vejez en los nuevos médicos internos residentes.

OBJECTIVES: To determine the presence of negative stereotypes of old age in new medical intern residents (MIR) of the Community of Madrid. MATERIAL AND METHODS: A descriptive cross-sectional survey study of first year MIRs was carried out anonymously during the process of registration at the Madrid College of Physicians between 25/03 and 26/05 of 2023. The Questionnaire of Negative Stereotypes towards Old Age (CENVE) and the Let's Fight All Together Against Ageism (LTJCE) survey were used. RESULTS: A total of 829 new MIRs were included, with a mean age of 26.0 (standard deviation [SD]=3.5) years. According to the LTJCE survey, 29.1% consider that in general older people are similar to each other; 47.5%, that deterioration of health in old age is inevitable, 26.8% that old age begins at 60 years; 30.5%, that age per se is a determinant when making clinical decisions and 31.0%, that aging is an obstacle that we must overcome in order to lead a healthy life. The mean total score of the CENVE scale (range 15-60) was 28.3 (SD=7.0) and the means of the different factors (range 5-20) were 8.6 (SD=2.8) for health; 9.8 (SD=2.6) for motivational-social; 10.0 (SD=2.7) for character-personality. CONCLUSIONS: Most new MIRs do not present old age-related stereotypes.