[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-427127-105":59,"doc-detail-427127-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","predictors-of-health-related-quality-of-life-in-older-adults-after-a-flood","Predictors of Health-Related Quality of Life in Older Adults After a Flood","","Study examines health-related quality of life in older adults following multiple severe weather disasters, using the SF-36 Health Survey across two testing waves. Flood exposure groups were compared: non-flooded controls, single-disaster (2016) participants, and double-disaster (2005 and 2016) participants. Regression analyses indicate that age and prior lifetime trauma predict later physical health, while intolerance of uncertainty at Wave 1 relates to risk for post-disaster distress during long-term flood recovery. Mental health is additionally linked to agency when accounted for.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/predictors-of-health-related-quality-of-life-in-older-adults-after-a-flood/427127/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/predictors-of-health-related-quality-of-life-in-older-adults-after-a-flood/427127.png","ImageObject",300,407,{"name":92,"@type":93},"MrHarris58","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-23","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What tool measured health-related quality of life in this study?","Question",{"text":112,"@type":113},"The SF-36 Health Survey was used to assess health-related quality of life across two waves of testing.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were participants grouped according to flood exposure?",{"text":117,"@type":113},"Participants were grouped into non-flooded controls, single-disaster exposure (flooded in 2016), and double-disaster exposure (flooded in 2005 and again in 2016).",{"name":119,"@type":110,"acceptedAnswer":120},"Which factors predicted physical and mental health outcomes?",{"text":121,"@type":113},"Age, prior lifetime trauma, and intolerance of uncertainty at Wave 1 predicted physical health at Wave 2, though intolerance of uncertainty became non-significant after agency was added. For mental health, age and intolerance of uncertainty remained significant when agency was considered.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},427127,1790792327,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":81},687212988360,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","576 Innovation in Aging, 2025, Vol. 9, No. S2  \ntheir scores improved somewhat by the second wave of testing. Regression analyses confirmed that age, prior lifetime trauma, and intolerance of uncertainty (IUS) at Wave 1 predicted physical health at Wave 2, although IUS lost its significance when agency was added as a predictor. In contrast, age and IUS predicted mental health and these variables held their significance when agency was accounted for. These data show that persons who experience difficulty tolerating ambiguous or uncertain situations may be at greater risk for post-disaster distress when navigating the challenges of long-term flood recovery.  \nAbstract citation ID: igaf122.1975  \nPREDICTORS OF HEALTH-RELATED QUALITY OF LIFE  \nIN OLDER ADULTS AFTER A FLOOD  \nKatie Cherry, Piper Bordes, Luke Miller, Matthew Calamia, and Emily Elliott, Louisiana State University, Baton Rouge, Louisiana, United States  \nMultiple severe weather events may threaten health and well-being for those who live in disaster-impacted communities.  \nIn 2005, coastal residents of south Louisiana experienced catastrophic damage in Hurricane Katrina which forced many to permanently relocate inland to higher and presumably safer ground. In August of 2016, historic flooding brought widespread destruction across a 22-parish (county) area, creating additional loss for those who had moved to Baton Rouge, Louisiana after Katrina. This study is part of a larger longitudinal research project on health indicators after multiple disasters. Here we examined health-related quality of life assessed by the SF-36 Health Survey (Ware & Sherbourne, 1992) . Three flood exposure groups were compared across two waves of testing: non-flooded (controls), single disaster (flooded in 2016) and double disaster (flooded in 2005 and again in 2016). The flood exposure groups did not differ in physical health. Mental health was poorer for those whose homes flooded compared to the non-flooded controls, although","cbCairenvKjhrYIH","https://ap.wps.com/l/cbCairenvKjhrYIH","pdf",533699,"English","# Study Overview\n## Disaster Background and Study Design\n## Measurement Tool and Exposure Groups\n## Key Findings and Predictive Factors","[{\"question\":\"What tool measured health-related quality of life in this study?\",\"answer\":\"The SF-36 Health Survey was used to assess health-related quality of life across two waves of testing.\"},{\"question\":\"How were participants grouped according to flood exposure?\",\"answer\":\"Participants were grouped into non-flooded controls, single-disaster exposure (flooded in 2016), and double-disaster exposure (flooded in 2005 and again in 2016).\"},{\"question\":\"Which factors predicted physical and mental health outcomes?\",\"answer\":\"Age, prior lifetime trauma, and intolerance of uncertainty at Wave 1 predicted physical health at Wave 2, though intolerance of uncertainty became non-significant after agency was added. For mental health, age and intolerance of uncertainty remained significant when agency was considered.\"}]","Predictors of Health-Related Quality of Life in Older Adults After a Flood | PDF",1790642911]