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Using a high-power 5% sample of the Medicare population, the study evaluates joint effects of AD/ADRD risk-related diseases and low income (dual Medicare eligibility) on clinical diagnosis. Cox models identify nine key diseases and estimate predictive multivariable models, then compute population attributable fractions for older adults and race- and sex-specific groups.",{"@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/population-attributable-fractions-associated-with-alzheimers-disease-risk-factors-abstract/427868/",{"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/population-attributable-fractions-associated-with-alzheimers-disease-risk-factors-abstract/427868.png","ImageObject",300,407,{"name":92,"@type":93},"Quinn Holloway","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-22","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":29},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What question does the study address about Alzheimer’s disease risk?","Question",{"text":112,"@type":113},"It examines how multiple AD/ADRD risk-related conditions and low income together influence the risk of clinical diagnosis.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What data and population are used in the analysis?",{"text":117,"@type":113},"The study uses a high-power 5% sample of the Medicare population and analyzes outcomes related to AD/ADRD clinical diagnosis.",{"name":119,"@type":110,"acceptedAnswer":120},"Which diseases contribute most to the population attributable fractions, and how does this vary across groups?",{"text":121,"@type":113},"Hypertension, stroke, and depression provide the strongest contributions across subpopulations, with specific patterns by sex and race—for example, hypertension accounts for about 45–50% of total PAF in Black, Asian, and Hispanic groups.","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},427868,1790716874,{"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":29,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"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":24},2336474466712,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Innovation in Aging, 2025, Vol. 9, No. S2 743  \nAbstract citation ID: igaf122.2529  \nPOPULATION ATTRIBUTABLE FRACTIONS  \nASSOCIATED WITH ALZHEIMER’S DISEASE  \nRISK FACTORS  \nIgor Akushevich1, Arseniy Yashkin1, Svetlana Ukraintseva1, Anatoliy Yashin1, and Julia Kravchenko2, 1. Duke University, Durham, North Carolina, United States, 2. Duke University School of Medicine, Durham, North Carolina, United States  \nAlthough numerous risk factors for Alzheimer’s disease (AD) and related dementias (ADRD) have been identified, their combined influence on risk remains uncertain. In this study, we leverage a high-power 5%-sample of the Medicare population to assess the joint impact of AD/ADRD risk-related diseases and low income—as indicated by dual Medicare eligibility—on the risk of clinical diagnosis of AD/ADRD. We  \n744 Innovation in Aging, 2025, Vol. 9, No. S2  \nleveraged the univariable and multivariable Cox models for estimating AD/ADRD risks, identified most powerful predictors, and constructed predictive multivariable models for AD/ ADRD risks, and evaluated their population attributable fractions (PAFs) for the general populations of older adults and race- and sex-specific subpopulations. The identified model included nine diseases—heart failure, hypertension, arrhythmia, stroke, hypotension, renal disease, depression, traumatic brain injury, and diabetes mellitus—as primary determinants of variation in AD/ADRD risk. The fraction of the total PAF explained by the predictors increased with age. The decomposition of the total PAF in terms of disease-specific PAFs showed that hypertension, stroke, and depression provided the strongest contribution for all subpopulations: Hypertension reached 45-50% of total PAF for Black, Asian, and Hispanic subpopulations. Stroke was the primary contributor for males (>30%); depression was highest among females and White individuals (approximately 30%) . Hypertension and depression were the leading contributors for Native Americans (both approximately 30%) . Heart Failure was the fourth strongest contributor for all subpopulations, with the contribution exceeding 5% for Native American individuals. Additional noteworthy contributors with PAFs exceeding 3% included hypotension (males), diabetes (Asian, Hispanic), arrhythmia (males), and TBI (Black, Asian) .","cbCaibfYSZ6FwWjb","https://ap.wps.com/l/cbCaibfYSZ6FwWjb","pdf",1294867,"English","# Abstract\n## Study design and data source\n## Statistical modeling and predictors\n## Population attributable fractions (PAFs)\n## Key disease contributions by age, race, and sex","[{\"question\":\"What question does the study address about Alzheimer’s disease risk?\",\"answer\":\"It examines how multiple AD/ADRD risk-related conditions and low income together influence the risk of clinical diagnosis.\"},{\"question\":\"What data and population are used in the analysis?\",\"answer\":\"The study uses a high-power 5% sample of the Medicare population and analyzes outcomes related to AD/ADRD clinical diagnosis.\"},{\"question\":\"Which diseases contribute most to the population attributable fractions, and how does this vary across groups?\",\"answer\":\"Hypertension, stroke, and depression provide the strongest contributions across subpopulations, with specific patterns by sex and race—for example, hypertension accounts for about 45–50% of total PAF in Black, Asian, and Hispanic groups.\"}]","POPULATION ATTRIBUTABLE FRACTIONS ASSOCIATED WITH ALZHEIMER’S DISEASE RISK FACTORS - Abstract | PDF",1790645021]