[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-428668-105":59,"doc-detail-428668-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","integrating-digital-health-technologies-with-physical-and-mental-health-for-motivating-low-income-older-adults","INTEGRATING DIGITAL HEALTH TECHNOLOGIES WITH PHYSICAL AND MENTAL HEALTH FOR MOTIVATING LOW-INCOME OLDER ADULTS","","Digital health technology can transform overall well-being and improve the accuracy of frailty prediction while enhancing physical activity and mental health outcomes across chronic conditions. Limited research suggests benefits for populations facing health disparities by increasing accessibility and engagement. This study examined links among digital health technologies, physical function, and depression in low-income older adults aged 60+ using NIH-funded clinical trial data.",{"@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":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/integrating-digital-health-technologies-with-physical-and-mental-health-for-motivating-low-income-older-adults/428668/",{"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/integrating-digital-health-technologies-with-physical-and-mental-health-for-motivating-low-income-older-adults/428668.png","ImageObject",300,407,{"name":92,"@type":93},"Muffet","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"How did the study define digital health technologies?","Question",{"text":112,"@type":113},"It used sensor-based tools including BTrackS for static balance, wearable accelerometers (ActiGraph) for physical activity, and a mobile application with ecological momentary assessment using a single slider-style motivation question.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which factors were found to predict motivation for physical activity?",{"text":117,"@type":113},"Both physical function measures (Timed Up and Go, Sit-to-Stand) predicted motivation, and depression significantly predicted motivation as well.",{"name":119,"@type":110,"acceptedAnswer":120},"Did frailty correlate with motivation for physical activity?",{"text":121,"@type":113},"No. Frailty did not significantly correlate with physical activity motivation based on the reported p-value.","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},428668,1790759982,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":39,"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,"preview_page_count":4},962090768927,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Innovation in Aging, 2025, Vol. 9, No. S2 339  \nAbstract citation ID: igaf122.1146  \nINTEGRATING DIGITAL HEALTH TECHNOLOGIES WITH PHYSICAL AND MENTAL HEALTH FOR  \nMOTIVATING LOW-INCOME OLDER ADULTS  \nLadda Thiamwong1, Chitra Banarjee1, Kworweinski Lafontant1, Jethro Raphael Suarez2, Abigail Tice1, Dahee Kim1,  \nMichael Dino3, and Rui Xie1, 1. University of Central Florida, Orlando, Florida, United States, 2. University of Central Florida, Florida, United States, 3. University of Central Florida, University of Central Florida, Florida, United States  \nDigital health technology can play a transformative role in improving overall well-being and the accuracy of frailty  \n340 Innovation in Aging, 2025, Vol. 9, No. S2  \nprediction. Digital health interventions enhance physical activity (PA) across various chronic conditions and improve depression.  \nand mental health outcomes. However, limited research indicated that digital health technology may benefit populations experiencing health disparities by enhancing accessibility and engagement, which can reduce adverse outcomes. We examined the associations among digital health technologies, physical function, and depression in low-income older adults aged 60+ using data from our clinical trial study funded by NIH (R01MD018025) .  \nDigital health technologies, including sensor-based technologies (Balance Tracking System/BTrackS for static balance (SB), wearable accelerometers (ActiGraph) for physical activity (PA), anda mobile application with Ecological Momentary Assessment (EMA) to measure motivation for PA using a single slider-style question. Physical function was assessed using dynamic balance (Timed Up and Go: TUG) and lower limb strength (Sit-to-Stand:  \nSTS) . Depression was assessed using Patient Health Questionnaire-9 (PHQ-9), and frailty was measured using the FRAIL questionnaire. We found both measures of physical function (TUG and STS) predicted motivation for PA (pTUG \u003C 0.001, pSTS = 0.054) . We also found that depression significantly predicted motivation for PA (pPHQ \u003C 0.001), suggesting that motivation for PA is driven by both physical capabilities and mental health. On the other hand, frailty did not significantly correlate with PA motivation (p = 0.471) . Integrating digital health technologies that offer reminders and progress tracking can motivate low-income older adults to stay active and enhance physical function and mental health.","cbCaicy4baUi0e5A","https://ap.wps.com/l/cbCaicy4baUi0e5A","pdf",669370,"English","# Background\n# Study Design and Measures\n# Key Findings\n# Implications","[{\"question\":\"How did the study define digital health technologies?\",\"answer\":\"It used sensor-based tools including BTrackS for static balance, wearable accelerometers (ActiGraph) for physical activity, and a mobile application with ecological momentary assessment using a single slider-style motivation question.\"},{\"question\":\"Which factors were found to predict motivation for physical activity?\",\"answer\":\"Both physical function measures (Timed Up and Go, Sit-to-Stand) predicted motivation, and depression significantly predicted motivation as well.\"},{\"question\":\"Did frailty correlate with motivation for physical activity?\",\"answer\":\"No. Frailty did not significantly correlate with physical activity motivation based on the reported p-value.\"}]","INTEGRATING DIGITAL HEALTH TECHNOLOGIES WITH PHYSICAL AND MENTAL HEALTH FOR MOTIVATING LOW-INCOME OLDER ADULTS | PDF",1790647265]