Related Experiment Video
Updated: May 7, 2026

06:58
Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
Published on: January 24, 2020
6.3K
Correcting for demographic variables on the modified telephone interview for cognitive status
Kevin Duff1, David Shprecher1, Irene Litvan2
1Department of Neurology, University of Utah, Salt Lake City, UT.
Summary
Demographic factors like age, education, and sex significantly impact cognitive test scores in healthy older adults. This study developed corrected normative data for the modified Telephone Interview for Cognitive Status (mTICS) to improve accuracy.
Area of Science:
- Gerontology
- Cognitive Neuroscience
- Psychometrics
Background:
- Cognitive screening tools are essential for assessing older adults.
- Normative data for cognitive tests should account for demographic variations.
- The modified Telephone Interview for Cognitive Status (mTICS) is a widely used screening instrument.
Purpose of the Study:
- To investigate the influence of demographic variables on mTICS scores in a healthy older adult cohort.
- To establish demographically corrected normative data for the mTICS.
- To enhance the accuracy of cognitive status prediction using telephone-based screening.
Main Methods:
- Observational study design.
- Recruitment of 576 healthy older adults from academic medical centers.
- Administration of the modified Telephone Interview for Cognitive Status (mTICS) for cognitive assessment.
Main Results:
- Age, education level, and sex were found to significantly correlate with mTICS scores.
- No significant differences in mTICS scores were observed based on ethnicity.
- Regression analysis confirmed that age, education, and sex are significant predictors of total mTICS score.
Conclusions:
- Demographically corrected normative data can improve the accuracy of cognitive status prediction with the mTICS.
- The developed corrections offer a more precise interpretation of mTICS results for individual assessment.
- Further clinical validation is recommended to confirm the utility of these corrected norms.

