[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-423884-105":3,"detail-sidebar-cat-0-en-105":80,"doc-detail-423884-en":130},{"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":73,"head_meta":75,"extra_data":77,"updated_unix":79},105,"en","factors-predicting-gaps-in-access-to-health-promoting-resources-among-rural-older-adults","FACTORS PREDICTING GAPS IN ACCESS TO HEALTH-PROMOTING RESOURCES AMONG RURAL OLDER ADULTS","","Many older adults living in rural communities have limited access to health-promoting resources, and the factors behind disparities for specific resources remain unclear. This study identified sociodemographic predictors of gaps in access to transportation, social support, food security, healthcare, and safe housing among rural older adults (N=795) using multivariate logistic regressions among Rural Aging Action Network (RAAN) users. Income-restricted adults had markedly higher odds of gaps across resources, with especially large increases for food security and social support. Older adults of color showed elevated gaps in transportation and food security, while veterans had higher housing gaps but lower social support gaps.",{"@graph":14,"@context":72},[15,34,55],{"@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/factors-predicting-gaps-in-access-to-health-promoting-resources-among-rural-older-adults/423884/",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/factors-predicting-gaps-in-access-to-health-promoting-resources-among-rural-older-adults/423884.png","ImageObject",300,407,{"name":42,"@type":43},"Quinn Holloway","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-09-30","2026-09-28",true,{"@type":52,"interactionType":53,"userInteractionCount":22},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What resources were analyzed for access gaps among rural older adults?","Question",{"text":62,"@type":63},"The study examined gaps in access to transportation, social support, food security, healthcare, and safe housing.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"How were the predictors of access gaps evaluated?",{"text":67,"@type":63},"Multivariate logistic regressions tested sociodemographic predictors of gaps among Rural Aging Action Network (RAAN) users.",{"name":69,"@type":60,"acceptedAnswer":70},"Which groups had the highest likelihood of gaps in safe housing and healthcare?",{"text":71,"@type":63},"Income-restricted older adults were about twice as likely to have gaps in safe housing and healthcare compared with those with adequate income.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},423884,1790739950,{"code":4,"msg":81,"data":82},"success",[83,87,91,95,100,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":92,"show_sort_weight":93,"slug":94},"Exam",70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":96,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":22,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":22,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":30},2336474466712,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","816 Innovation in Aging, 2025, Vol. 9, No. S2  \nMolly Wylie1, Verena Cimarolli1, Robyn Stone1,  \nRegan McManus2, and Ashley Washington2, 1. LeadingAge, Washington, District of Columbia, United States, 2. Lutheran Services in America, Washington, District of Columbia, United States  \nMany older adults living in rural communities have limited access to resources that promote health. Yet, little is known about the factors contributing to disparities in access to specific resources. Therefore, this study identified sociodemographic predictors of gaps in access to five resources (transportation, social support, food security, healthcare, and safe housing) among rural older adults (N = 795) . Data was collected as part of an evaluation of the Rural Aging Action Network (RAAN) - a national collaborative that mobilizes existing and recruits new community-based services and supports. Multivariate logistic regressions examined sociodemographic predictors of gaps in resource access among RAAN users. Income-restricted older adults were twice as likely to have gaps in safe housing (95% CI [1.16, 4.78]), transportation (95% CI [1.11, 4.09]), or healthcare (95% CI [1.20, 4.25]), over three times more likely to have a food security gap (95% CI [1.44, 7.39]), and almost four times as likely to have a social support gap (95% CI [1.85, 8.37]) compared to those with adequate income. Older adults of color were over twice as likely to have a transportation gap (95% CI [1.12, 6.14]) and over three times as likely to have a food security gap (95% CI [1.30, 8.28]) compared to Whites. Veterans were over twice as likely to have a housing gap (95% CI,[1.04, 6.57]), yet 81% less likely to have a social support gap (95% CI [0.04, 0.88]) compared to non-veterans. Study findings can help providers identify rural older adults with greatest service needs.  \nAbstract citation ID: igaf122.2767  \nFACTORS PREDICTING GAPS IN ACCESS TO  \nHEALTH-PROMOTING RESOURCES AMONG RURAL  \nOLDER ADULTS","cbCaibitrV2bHpuF","https://ap.wps.com/l/cbCaibitrV2bHpuF","pdf",732945,"English","# Study purpose and context\n## Resources examined and data source\n# Methods\n## Multivariate logistic regression\n# Key findings\n## Income-restricted adults\n## Race/ethnicity differences\n## Veteran status differences\n# Implications","[{\"question\":\"What resources were analyzed for access gaps among rural older adults?\",\"answer\":\"The study examined gaps in access to transportation, social support, food security, healthcare, and safe housing.\"},{\"question\":\"How were the predictors of access gaps evaluated?\",\"answer\":\"Multivariate logistic regressions tested sociodemographic predictors of gaps among Rural Aging Action Network (RAAN) users.\"},{\"question\":\"Which groups had the highest likelihood of gaps in safe housing and healthcare?\",\"answer\":\"Income-restricted older adults were about twice as likely to have gaps in safe housing and healthcare compared with those with adequate income.\"}]","FACTORS PREDICTING GAPS IN ACCESS TO HEALTH-PROMOTING RESOURCES AMONG RURAL OLDER ADULTS | PDF",1790632261]