Comparing Cognitive Tests and Smartphone‐Based Assessment in 2 US Community‐Based Cohorts

Author:

De Anda‐Duran Ileana1ORCID,Sunderaraman Preeti234ORCID,Searls Edward5,Moukaled Shirine1ORCID,Jin Xuanyi1,Popp Zachary5ORCID,Karjadi Cody5ORCID,Hwang Phillip H.6ORCID,Ding Huitong35,Devine Sherral35ORCID,Shih Ludy C.2ORCID,Low Spencer5ORCID,Lin Honghuang7ORCID,Kolachalama Vijaya B.89ORCID,Bazzano Lydia1ORCID,Libon David J.1011ORCID,Au Rhoda345ORCID

Affiliation:

1. Department of Epidemiology Tulane University School of Public Health and Tropical Medicine New Orleans LA USA

2. Department of Neurology Boston University Chobanian & Avedisian School of Medicine Boston MA USA

3. Framingham Heart Study Boston University Chobanian & Avedisian School of Medicine Boston MA USA

4. Boston University Alzheimer’s Disease Research Center Boston University Chobanian & Avedisian School of Medicine Boston MA USA

5. Department of Anatomy and Neurobiology Boston University Chobanian & Avedisian School of Medicine Boston MA USA

6. Department of Epidemiology Boston University School of Public Health Boston MA USA

7. University of Massachusetts Chan Medical School Worcester MA USA

8. Department of Medicine Boston University Chobanian & Avedisian School of Medicine Boston MA USA

9. Department of Computer Science Boston University Boston MA USA

10. Department of Psychology Rowan University Mullica Hill NJ USA

11. New Jersey Institute of Successful Aging Rowan University School of Osteopathic Medicine Stratford NJ USA

Abstract

Background Smartphone‐based cognitive assessments have emerged as promising tools, bridging gaps in accessibility and reducing bias in Alzheimer disease and related dementia research. However, their congruence with traditional neuropsychological tests and usefulness in diverse cohorts remain underexplored. Methods and Results A total of 406 FHS (Framingham Heart Study) and 59 BHS (Bogalusa Heart Study) participants with traditional neuropsychological tests and digital assessments using the Defense Automated Neurocognitive Assessment (DANA) smartphone protocol were included. Regression models investigated associations between DANA task digital measures and a neuropsychological global cognitive Z score (Global Cognitive Score [GCS]), and neuropsychological domain‐specific Z scores. FHS participants’ mean age was 57 (SD, 9.75) years, and 44% (179) were men. BHS participants' mean age was 49 (4.4) years, and 28% (16) were men. Participants in both cohorts with the lowest neuropsychological performance (lowest quartile, GCS1) demonstrated lower DANA digital scores. In the FHS, GCS1 participants had slower average response times and decreased cognitive efficiency scores in all DANA tasks ( P <0.05). In BHS, participants in GCS1 had slower average response times and decreased cognitive efficiency scores for DANA Code Substitution and Go/No‐Go tasks, although this was not statistically significant. In both cohorts, GCS was significantly associated with DANA tasks, such that higher GCS correlated with faster average response times ( P <0.05) and increased cognitive efficiency (all P <0.05) in the DANA Code Substitution task. Conclusions Our findings demonstrate that smartphone‐based cognitive assessments exhibit concurrent validity with a composite measure of traditional neuropsychological tests. This supports the potential of using smartphone‐based assessments in cognitive screening across diverse populations and the scalability of digital assessments to community‐dwelling individuals.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

Reference45 articles.

1. 2022 Alzheimer's disease facts and figures

2. Dementia. World Health Organization. Accessed September 15 2023. https://www.who.int/news‐room/fact‐sheets/detail/dementia

3. 2017 National population projections tables: main series. United States Census Bureau. 2017. Accessed August 13 2023. https://www.census.gov/data/tables/2017/demo/popproj/2017‐summary‐tables.html

4. Biomarkers for the diagnosis of Alzheimer’s disease, dementia Lewy body, frontotemporal dementia and vascular dementia

5. Blood-based biomarkers for Alzheimer's disease: towards clinical implementation

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