TY  - JOUR
AU  - Shimada, Hiroyuki
AU  - Doi, Takehiko
AU  - Tsutsumimoto, Kota
AU  - Makino, Keitaro
AU  - Harada, Kenji
AU  - Tomida, Kouki
AU  - Morikawa, Masanori
AU  - Makizako, Hyuma
PY  - 2025
DA  - 2025/2/14
TI  - A New Computer-Based Cognitive Measure for Early Detection of Dementia Risk (Japan Cognitive Function Test): Validation Study
JO  - J Med Internet Res
SP  - e59015
VL  - 27
KW  - cognition
KW  - neurocognitive test
KW  - dementia
KW  - Alzheimer disease
KW  - aged
KW  - MMSE
KW  - cognitive impairment
KW  - Mini-Mental State Examination
KW  - monitoring
KW  - eHealth
AB  - Background: The emergence of disease-modifying treatment options for Alzheimer disease is creating a paradigm shift in strategies to identify patients with mild symptoms in primary care settings. Systematic reviews on digital cognitive tests reported that most showed diagnostic performance comparable with that of paper-and-pencil tests for mild cognitive impairment and dementia. However, most studies have small sample sizes, with fewer than 100 individuals, and are based on case-control or cross-sectional designs. Objective: This study aimed to examine the predictive validity of the Japanese Cognitive Function Test (J-Cog), a new computerized cognitive battery test, for dementia development. Methods: We randomly assigned 2520 older adults (average age 72.7, SD 6.7 years) to derivation and validation groups to determine and validate cutoff points for the onset of dementia. The Mini-Mental State Examination (MMSE) was used for comparison purposes. The J-Cog consists of 12 tasks that assess orientation, designation, attention and calculation, mental rotation, verbal fluency, sentence completion, working memory, logical reasoning, attention, common knowledge, word memory recall, and episodic memory recall. The onset of dementia was monitored for 60 months. In the derivation group, receiver operating characteristic curves were plotted to determine the MMSE and J-Cog cutoff points that best discriminated between the groups with and without dementia. In the validation group, Cox proportional regression models were developed to predict the associations of the group classified using the cutoff points of the J-Cog or MMSE with dementia incidence. Harrell C-statistic was estimated to summarize how well a predicted risk score described an observed sequence of events. The Akaike information criterion was calculated for relative goodness of fit, where lower absolute values indicate a better model fit. Results: Significant hazard ratios (HRs) for dementia incidence were found using the MMSE cutoff between 23 and 24 point (HR 1.93, 95% CI 1.13-3.27) and the J-Cog cutoff between 43 and 44 points (HR 2.42, 95% CI 1.50-3.93). In the total validation group, the C-statistic was above 0.8 for all cutoff points. Akaike information criterion with MMSE cutoff between 23 and 24 points as a reference showed a poor fit for MMSE cutoff between 28 and 29 points, and a good fit for the J-Cog cutoff between 43 and 44 points. Conclusions: The J-Cog has higher accuracy in predicting the development of dementia than the MMSE and has advantages for use in the community as a test of cognitive function, which can be administered by nonprofessionals. 
SN  - 1438-8871
UR  - https://www.jmir.org/2025/1/e59015
UR  - https://doi.org/10.2196/59015
DO  - 10.2196/59015
ID  - info:doi/10.2196/59015
ER  -