{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T12:04:29Z","timestamp":1777550669703,"version":"3.51.4"},"reference-count":52,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["DIGITAL HEALTH"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Cognitive assessment is essential to detect early cognitive decline and guide interventions. Self-administered computerized assessment is a promising option for periodic cognitive screening in the general population. One of the most critical challenges to implementing cognitive screening in at risk populations is participants\u2019 adherence. However, there is insufficient evidence to determine which factors are essential for adherence to long-term digital cognitive screening.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>This study aims to investigate potential sociodemographic and health predictors of adherence to a self-administered web-based cognitive monitoring, the Brain on Track (BoT), in the general population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Participants (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009347) were recruited from the general community. The participants were asked to perform one BoT test every 3 months for cognitive screening and were followed at two time points, namely, 1-year and 3- to 6-year follow-up. Regression models were used to investigate sociodemographic and health predictors of adherence to BoT use at 1 year and up to 6 years.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Being older positively affects adherence to periodic cognitive screening for both follow-up periods. Being a female, having more years of formal education, presenting more BoT baseline correct answers and fewer BoT baseline incorrect answers, and reporting memory complaints positively affect adherence to periodic screening at 3 to 6 years of follow-up but not at 1-year follow-up.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>The identified determinants of adherence can be considered when planning long-term cognitive screening protocols to increase adherence. Specific strategies could be helpful to improve the adherence of participants who adhere less.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20552076251332774","type":"journal-article","created":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T09:49:51Z","timestamp":1744278591000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Sociodemographic and health predictors of adherence to self-administered computerized cognitive assessment"],"prefix":"10.1177","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1581-8350","authenticated-orcid":false,"given":"Marisa","family":"Magno","sequence":"first","affiliation":[{"name":"Department of Medical Sciences, University of Aveiro, Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5220-0528","authenticated-orcid":false,"given":"Ana Isabel","family":"Martins","sequence":"additional","affiliation":[{"name":"Center for Health Technology and Services Research \u2013 CINTESIS@RISE, School of Health Sciences, University of Aveiro, Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4663-8184","authenticated-orcid":false,"given":"Joana","family":"Pais","sequence":"additional","affiliation":[{"name":"EPIUnit \u2013 Institute of Public Health, Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal"},{"name":"Neuroinova, Lda., Vila Nova de Gaia, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5333-4771","authenticated-orcid":false,"given":"V\u00edtor Tedim","family":"Cruz","sequence":"additional","affiliation":[{"name":"EPIUnit \u2013 Institute of Public Health, Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal"},{"name":"Local Health Unit of Matosinhos, EPE, Hospital Pedro Hispano, Matosinhos, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4386-5851","authenticated-orcid":false,"given":"Anabela G","family":"Silva","sequence":"additional","affiliation":[{"name":"Center for Health Technology and Services Research \u2013 CINTESIS@RISE, School of Health Sciences, University of Aveiro, Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3801-7249","authenticated-orcid":false,"given":"Nelson Pacheco","family":"Rocha","sequence":"additional","affiliation":[{"name":"IEETA \u2013 Institute of Electronics and Informatics Engineering of Aveiro, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal"}]}],"member":"179","published-online":{"date-parts":[[2025,4,10]]},"reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"publisher","DOI":"10.1176\/appi.books.9780890425596"},{"key":"e_1_3_5_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2012.11.006"},{"key":"e_1_3_5_4_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12877-020-01863-7"},{"key":"e_1_3_5_5_2","article-title":"Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the global burden of disease study 2019","volume":"7","author":"GBD 2019 Dementia Forecasting Collaborators","year":"2022","unstructured":"GBD 2019 Dementia Forecasting Collaborators. 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