[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-427605-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-427605-en":131},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","age-and-other-individual-difference-variables-predict-ageism-awareness-poster-ageism","AGE AND OTHER INDIVIDUAL DIFFERENCE VARIABLES PREDICT AGEISM AWARENESS - Poster - Ageism","","Ageism can shape bias and reduce fairness in society, yet individuals differ in whether they endorse ageist attitudes. This poster examined beliefs about ageism in an age-diverse sample of 231 U.S.-based adults. A hierarchical regression tested how prominent ageism was perceived, first using age, sex, and race, then adding hostile and benevolent ageism. Age and sex uniquely predicted perceived prominence, while hostile ageism also contributed; benevolent ageism was not significant.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/age-and-other-individual-difference-variables-predict-ageism-awareness-poster-ageism/427605/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/age-and-other-individual-difference-variables-predict-ageism-awareness-poster-ageism/427605.png","ImageObject",300,407,{"name":42,"@type":43},"Mia  ","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-19","2026-09-29",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",12,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What was the main goal of the study?","Question",{"text":63,"@type":64},"To examine beliefs about ageism and determine which individual difference variables predict ageism awareness (how prominent people believe ageism to be).","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Who participated in the research?",{"text":68,"@type":64},"An age-diverse sample of 231 U.S.-based adults, with reported demographics including sex and age-related statistics.",{"name":70,"@type":61,"acceptedAnswer":71},"Which variables significantly predicted ageism awareness?",{"text":72,"@type":64},"In the model, age and sex contributed uniquely, and when hostile and benevolent ageism were added, lower hostile ageism contributed uniquely while benevolent ageism was not significant.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},427605,1790742752,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,111,115,120,123,127],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":25,"category_name":108,"show_sort_weight":109,"slug":110},7,"Healthcare",40,"healthcare",{"id":112,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":113,"slug":114},8,30,"research-report",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":117,"show_sort_weight":118,"slug":119},9,"Religion & Spirituality",20,"religion-spirituality",{"id":118,"doc_module":4,"doc_module_name":25,"category_name":121,"show_sort_weight":118,"slug":122},"World Cup","world-cup",{"id":124,"doc_module":4,"doc_module_name":25,"category_name":125,"show_sort_weight":124,"slug":126},10,"Lifestyle","lifestyle",{"id":128,"doc_module":4,"doc_module_name":25,"category_name":129,"show_sort_weight":97,"slug":130},19,"General","general",{"code":4,"msg":82,"data":132},{"doc_id":79,"user_id":133,"nickname":42,"user_avatar":134,"doc_module":4,"category_id":112,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":26,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":97},687207024478,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","642 Innovation in Aging, 2025, Vol. 9, No. S2  \nSESSION 7005 (POSTER)  AGEISM  \nAbstract citation ID: igaf122.2196  \nAGE AND OTHER INDIVIDUAL DIFFERENCE  \nVARIABLES PREDICT AGEISM AWARENESS  \nCarly Pullen, and Julie Hicks-Patrick, West Virginia University, Morgantown, West Virginia, United States  \nOne in every two people endorses ageist attitudes (WHO, 2021) . Identifying the 50% who do and do not endorse such attitudes may reduce bias in Society. We examined beliefs about ageism among an age-diverse sample, including 231 US-based adults (51.9% female; Mage= 47.51, SD = 16; 67.5% WNH) .  \nInnovation in Aging, 2025, Vol. 9, No. S2 643  \nA hierarchical regression examined how prominent an issue people believe ageism to be (M = 2.38 out of 4, SD = 0.88). In Step 1, age, sex, and race were entered into the model. Results were significant, F (3,227) = 9.13, p \u003C .001, but only 10.8% of the variance in how prominent an issue people believe ageism to be was explained. Age and sex uniquely contributed to the model,(βage = .26, p\u003C .001) and (βsex = .16, p \u003C .05). In Step 2, hostile and benevolent ageism were added to the model to determine if a person’s attitude regarding older adults impacted their perception of ageism as a problem. Results were significant, F (5, 225) = 9.6.40, p \u003C .001, with only 12.4% of the variance in how prominent an issue people believe ageism to be was explained. Lower hostile ageism uniquely contributed to the model (β = -0.12, p \u003C .05), while benevolent ageism was nonsignificant (β = .07, p = .26) . Results of the current study call attention to ageism as a problem and draw attention to the impact it has on older adults is a step forward in combatting stereotypes, prejudice, and discrimination.","cbCaiiEIhXSbuYTz","https://ap.wps.com/l/cbCaiiEIhXSbuYTz","pdf",1155135,"English","# Session 7005 (Poster) - Ageism\n## Abstract citation ID\n## Participants and measures\n## Hierarchical regression results\n## Implications","[{\"question\":\"What was the main goal of the study?\",\"answer\":\"To examine beliefs about ageism and determine which individual difference variables predict ageism awareness (how prominent people believe ageism to be).\"},{\"question\":\"Who participated in the research?\",\"answer\":\"An age-diverse sample of 231 U.S.-based adults, with reported demographics including sex and age-related statistics.\"},{\"question\":\"Which variables significantly predicted ageism awareness?\",\"answer\":\"In the model, age and sex contributed uniquely, and when hostile and benevolent ageism were added, lower hostile ageism contributed uniquely while benevolent ageism was not significant.\"}]","AGE AND OTHER INDIVIDUAL DIFFERENCE VARIABLES PREDICT AGEISM AWARENESS - Poster - Ageism | PDF",1790644330]