Hostname: page-component-7bb8b95d7b-495rp Total loading time: 0 Render date: 2024-09-29T06:27:55.306Z Has data issue: false hasContentIssue false

178 Gender Differences in Prodromal Symptoms of Dementia

Published online by Cambridge University Press:  15 June 2018

Richard Wallis
Affiliation:
Nurse Practitioner, Psychiatry, Denver Health, Denver, CO
Sheryl Bishop
Affiliation:
Professor, School of Nursing, UTMB, Galveston, TX
Brian Downer
Affiliation:
Assistant Professor, Rehabilitation Sciences, UTMB, Galveston, TX
Thomas Méndez
Affiliation:
Associate Professor, School of Nursing, UTMB, Galveston, TX
Mukaila Raji
Affiliation:
Division Director and Professor, Geriatric Medicine, UTMB, Galveston, TX
Aida Sapp
Affiliation:
Professor, College of Nursing, UMHB, Belton, TX
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Study Objectives

This study proposed to test the postulate that the anxiety and insomnia symptom cluster (A/I) is a predictor of dementia.

Methods

A retrospective data analysis was conducted on the Aging, Demographics, and Memory Study (ADAMS) dataset in order to determine whether A/I symptoms or treatment were associated with subsequent dementia or cognitive impairment (DOCI). The study used logistic regression analysis and comparison of incidence rates on a sample of 249 participants.

Results

There was a significant relationship between A/I symptoms and subsequent DOCI in the male gender that was not found in the total sample or in females. No association with subsequent DOCI was found for benzodiazepine usage or non-benzodiazepine A/I medication usage.

Conclusions

The gender differences identified suggest prodromal dementia phenotypes that are differentially expressed in males and females. By triangulating the approaches from multiple disciplines—such as neuroimaging and genetics—with prodromalsymptoms, it is possible that reliable early prediction may be accomplished.

Funding Acknowledgements

No funding.

Type
Abstracts
Copyright
© Cambridge University Press 2018