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Enregistrement W3018706490

Examining consequences of ageism on older adults and how ageist attitudes differ across cultural and socio-economic contexts

2017· article· en· W3018706490 sur OpenAlexaboutno aff
Manon Marquet

Notice bibliographique

RevueORBi (University of Liège) · 2017
Typearticle
Langueen
DomainePsychology
ThématiqueAging and Gerontology Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychologySociologySocial psychology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background: While stereotype threat has been shown to have deleterious effects on older adults’ cognitive performance, studies demonstrating effects on physical function and subjective age are scarce. Moreover, while negative self-perceptions of aging may also have detrimental effects on older adults’ mental and physical health over time, they have been rarely considered as a moderator of stereotype threat effects. Therefore, the first aim of the present thesis was to examine stereotype threat effects on memory, physical performance, and subjective age. In addition, we investigated the assumption that older people would be particularly vulnerable to stereotype threat when they had more negative self-perceptions of aging while more positive self-perceptions could have reduced stereotype threat effects. Then, considering the negative consequences of ageism on older adults, the second aim of this thesis was to investigate attitudes toward them among their social partners. In particular, by examining whether there were differences in attitudes toward older people among people living in different countries, we aimed to better understand how attitudes vary in different socioeconomic and cultural contexts. Studies: Regarding the first aim of the thesis, we first present a review in French that focuses on the effects of age stereotypes on cognitive performances. Then, in Study 1, we present the validation of the French version of the Attitude to Ageing Questionnaire that we used as an indicator of self-perceptions of aging in the two subsequent studies. In Study 2, we examined the effects of stereotype threat and self-perceptions of aging on older adults’ memory and subjective age, and we considered perceived threat as a mediator. Contrary to our expectation, positive age stereotypes and self-perceptions of aging did not reduce the effects of stereotype threat on memory, subjective age or perceived threat in the high-threat condition in comparison to the low-threat condition. We only found an effect in the high-threat group: the more positive age stereotypes held by older people, the more they perceived threat, which in turn decreased their memory performance and made them feel mentally older. We hypothesized that age-group identity is stronger in people with more positive age stereotypes, which lead them to perceive more threat. In line with this study, in Study 3, we investigated the effects of stereotype threat on physical performance and subjective age. While stereotype threat effects on physical performance were not consistent across the different tasks, older people in the stereotype threat condition felt physically older than people in the control condition, and these effects were more pronounced among participants with more negative self-perceptions. Effects of threat on mental subjective age were also present, but they were not as strong. Then, in Studies 4 and 5, we examined attitudes toward older people among people living in different countries. In Study 4, we examined attitudes toward older people among psychology students in Belgium and Quebec. Indeed, even if these populations share relatively similar culture and economic development, older people’s participation in paid and volunteer work is higher in Quebec than in Belgium, which is related to more positive attitudes toward them. Accordingly, the findings showed that students in Belgium are overall more negative toward older people. In Study 5, in order to more deeply examine how attitudes vary in different socio-economic and cultural contexts, we compared attitudes among people living in Burundi and in Belgium. As hypothesized, we found that the lack of government spending on older people (pension and healthcare systems) in Burundi contribute to their younger counterparts perceiving them more negatively than in Belgium, despite stronger cultural traditions of familial solidarity in Burundi. Conclusion: Studies conducted among older people extended previous research by simultaneously examining the effects of stereotype threat and self-perceptions of aging on older adults’ memory, physical performance, and subjective age. Across the studies, effects of threat on subjective age are particularly worrying. Indeed, even in the absence of direct and/ or consistent effects on tasks (i.e., physical tasks), repeated exposure to age stereotypes (regarding one’s cognitive or physical aging), by making older people feel closer to their chronological age and even older, could have a detrimental effect on cognitive and physical functioning over time, even if there is no direct effect. Regarding studies that aimed to compare attitudes toward older people in different countries, they extend previous research by showing that attitudes toward older people are overall rather negative. They also emphasize the importance of socioeconomic conditions in order to understand why attitudes toward older people may differ across countries. Taking into account the effects of stereotypes on older adults’ health and on the attitudes of their social partners toward them, it is important to produce solutions that can improve attitudes toward older people.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,840

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,074
Tête enseignante GPT0,350
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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