{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T14:16:50Z","timestamp":1782483410352,"version":"3.54.5"},"reference-count":65,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:00:00Z","timestamp":1700179200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background and Objectives<\/jats:title>\n                  <jats:p>The number of older adults diagnosed with dementia is expected to more than double by mid-century. Monitoring older adults\u2019 cognitive functioning is essential for the early detection of dementia, which can increase treatment efficacy and slow the disease progression. Current approaches to detect preclinical dementia are expensive, invasive, and are not accessible to everyone. This study aimed to determine whether technology use patterns could be used as an indicator of cognitive change.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Research Design and Methods<\/jats:title>\n                  <jats:p>Using 6 waves (2015\u20132020) from the National Health and Aging Trends Study, we examined within-person and between-person effects of stopping 4 types of technology use on 4 cognitive outcomes.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Our analyses showed that stopping the use of the Internet, computers, and tablets, and sending texts and e-mails were related to cognitive decline.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Discussion and Implications<\/jats:title>\n                  <jats:p>These results suggest that monitoring technology use patterns may be an innovative approach that is economical and efficient to identify individuals at risk of cognitive decline.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/geront\/gnad158","type":"journal-article","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T13:25:20Z","timestamp":1700227520000},"source":"Crossref","is-referenced-by-count":9,"title":["Can Changes in Older Adults\u2019 Technology Use Patterns Be Used to Detect Cognitive Decline?"],"prefix":"10.1093","volume":"64","author":[{"given":"Reza","family":"Ghaiumy Anaraky","sequence":"first","affiliation":[{"name":"Department of Technology Management and Innovation, Tandon School of Engineering, New York University , New York City, New York , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4472-0283","authenticated-orcid":false,"given":"Amy M","family":"Schuster","sequence":"additional","affiliation":[{"name":"Department of Psychology, Clemson University , 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