1. Development of a short-form version of the Reading the Mind in the Eyes Test for assessing theory of mind in older adults
- Author
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Chander, RJ, Grainger, SA, Crawford, JD, Mather, KA, Numbers, K, Cleary, R, Kochan, NA, Brodaty, H, Henry, JD, Sachdev, PS, Chander, RJ, Grainger, SA, Crawford, JD, Mather, KA, Numbers, K, Cleary, R, Kochan, NA, Brodaty, H, Henry, JD, and Sachdev, PS
- Abstract
Background: The Reading the Mind in the Eyes test (RMET) is a 36-item assessment for theory of mind (ToM) performance. While this measure has been shown to be sensitive to age-related ToM difficulties, there are no established cutoffs or guidelines currently available that are specific to older adults. This article seeks to validate a short-form version of the RMET appropriate for use in such populations. Methods: Cross-sectional data from 295 participants (mean age 86 years) from the Sydney Memory and Ageing Study, a longitudinal community observational cohort. Participants underwent an assessment battery that included the RMET. Individuals who scored >1SD below the RMET scores of cognitively normal participants were deemed to have below average RMET scores. Various model-building methods were used to generate short-form solutions of the RMET, which were compared with previously validated versions in their predictive power for below average full RMET performance. Results: Individuals with below average RMET performance tended to be older and have poorer global cognition. Of the eight short-form solutions, the 21-item version generated using genetic algorithm exhibited the best classification performance with an area under the receiver operating curve (AUROC) of 0.98 and had 93.2% accuracy in classifying individuals with below average ToM. A shorter 10-item solution derived by ant colony optimization also had acceptable performance. Conclusion: We recommend the 21-item version of the RMET for use in older adult populations for identifying individuals with impaired ToM. Where an even shorter version is needed with a trade-off of slightly reduced performance, the 10-item version is acceptable.
- Published
- 2020