Conventional and robust norming in identifying preclinical dementia

Area of Science:

• Neuroscience
• Gerontology
• Cognitive Psychology

Background:

• Early detection of preclinical dementia is crucial for timely intervention.
• Memory tests are vital tools in assessing cognitive decline in older adults.
• Normative data are essential for interpreting test scores accurately.

Purpose of the Study:

• To compare four norming approaches for two memory tests in older adults.
• To evaluate the effectiveness of these approaches in detecting preclinical dementia.
• To determine the optimal norming strategy for identifying early cognitive impairment.

Main Methods:

• Participants aged over 70 from the Einstein Aging Study were followed for 5 years.
• Two norming samples were derived: conventional and robust (excluding dementia cases).
• The picture version of the Free and Cued Selective Reminding Test with Immediate Recall (pFCSRT+IR) and Logical Memory (LM) tests were used.

Main Results:

• The robust normative sample yielded higher cut-scores and improved sensitivity for detecting preclinical dementia compared to the conventional sample.
• This improvement in detection sensitivity persisted regardless of age and education adjustments.
• The pFCSRT+IR demonstrated higher sensitivity than the LM test in identifying incident dementia cases.

Conclusions:

• Robust norming procedures enhance the accuracy of detecting preclinical dementia using both pFCSRT+IR and LM tests.
• These findings underscore the importance of employing rigorous norming strategies in cognitive assessments for older adults.
• The study provides evidence for improved diagnostic capabilities in identifying individuals at risk for dementia.