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What happens when we forget our own narrative: Transgender dementia case study
Elyssa A Scharaga1,2,3, Annie Chang2,4, Joseph F Kulas1,2
1Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
The Clinical Neuropsychologist
|May 26, 2020
Summary
Neuropsychological evaluations for transgender individuals face challenges due to limited normative data. A case study showed cognitive decline in an 85-year-old transgender woman, with scores not differing significantly using binary gender norms.
Area of Science:
- Neuropsychology
- Gerontology
- Transgender Health
Background:
- Geriatric neuropsychological evaluations present challenges due to health, psychiatric, and lifestyle factors impacting cognition.
- Evaluating elderly transgender individuals is a novel challenge, lacking specific normative data in neuropsychological assessments.
- Current neuropsychological scoring often relies on binary gender categorization, potentially limiting accurate interpretation for transgender individuals.
Observation:
- This article details a case study of an 85-year-old transgender female referred for neuropsychological evaluation due to cognitive and functional decline.
- The patient exhibited significant decline across multiple cognitive domains during the evaluation.
Findings:
- When applying binary male and female normative data, the patient's neuropsychological scores did not show statistically significant differences across most cognitive domains.
- The marked cognitive impairment in the patient made it challenging to discern nuanced gender-related differences.
Implications:
- The findings suggest a need to re-evaluate the significance of gender as a normative factor in neuropsychological assessments, particularly in geriatric populations.
- Further research with less cognitively impaired transgender individuals may be necessary to explore potential gender-specific cognitive differences.
- This case highlights the importance of developing inclusive neuropsychological assessment tools and normative data for diverse populations.
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