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Sociodemographic and health predictors of adherence to self-administered computerized cognitive assessment.

作者信息

Magno Marisa, Martins Ana Isabel, Pais Joana, Cruz Vítor Tedim, Silva Anabela G, Rocha Nelson Pacheco

机构信息

Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.

Center for Health Technology and Services Research - CINTESIS@RISE, School of Health Sciences, University of Aveiro, Aveiro, Portugal.

出版信息

Digit Health. 2025 Apr 10;11:20552076251332774. doi: 10.1177/20552076251332774. eCollection 2025 Jan-Dec.


DOI:10.1177/20552076251332774
PMID:40290274
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12032462/
Abstract

INTRODUCTION: 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' adherence. However, there is insufficient evidence to determine which factors are essential for adherence to long-term digital cognitive screening. AIMS: 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. METHODS: Participants ( = 347) 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. RESULTS: 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. DISCUSSION: 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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea9/12032462/0103e24baef9/10.1177_20552076251332774-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea9/12032462/0103e24baef9/10.1177_20552076251332774-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea9/12032462/0103e24baef9/10.1177_20552076251332774-fig1.jpg

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本文引用的文献

[1]
New Opportunities for the Early Detection and Treatment of Cognitive Decline: Adherence Challenges and the Promise of Smart and Person-Centered Technologies.

BMC Digit Health. 2023

[2]
Cognitive stimulation to improve cognitive functioning in people with dementia.

Cochrane Database Syst Rev. 2023-1-31

[3]
Digital health and patient adherence: A qualitative study in older adults.

Digit Health. 2024-1-12

[4]
Association of Anemia with Cognitive Function and Dementia Among Older Adults: The Role of Inflammation.

J Alzheimers Dis. 2023

[5]
Investigating the Role of Individual Differences in Adherence to Cognitive Training.

J Cogn. 2023-8-22

[6]
2023 Alzheimer's disease facts and figures.

Alzheimers Dement. 2023-4

[7]
The relationship between midlife dyslipidemia and lifetime incidence of dementia: A systematic review and meta-analysis of cohort studies.

Alzheimers Dement (Amst). 2023-3-8

[8]
Worldwide prevalence of mild cognitive impairment among community dwellers aged 50 years and older: a meta-analysis and systematic review of epidemiology studies.

Age Ageing. 2022-8-2

[9]
Thyroid Disorders and Dementia Risk: A Nationwide Population-Based Case-Control Study.

Neurology. 2022-8-16

[10]
Correlates of Adherence of Multimodal Non-pharmacological Interventions in Older Adults With Mild Cognitive Impairment: A Cross-Sectional Study.

Front Psychiatry. 2022-6-3

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