Sex-specific patterns and differences in dementia and Alzheimer’s disease using informatics approaches
Bibliographic Data
| ID | 20393334 |
|---|---|
| Authors | Jay G Ronquillo (0000-0002-0438-7172, corresponding author), Merritt Rachel Baer, William Lester (0000-0003-4086-9280, Harvard University), William T Lester |
| Year | 2016 |
| Volume | 28 |
| Issue | 5 |
| Pages | 403-411 |
| Publication date | 2016-09-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Women & Aging (JOURNAL) |
| Journal identifiers | ISSN: 0895-2841 • E-ISSN: 1540-7322 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/08952841.2015.1018038 |
| PMID | 27105335 |
| OpenAlex | W2338471433 |
| Language | EN |
| Citations received | 1 |
| References cited | 25 |
The National Institutes of Health Office of Research on Women's Health recently highlighted the critical need for explicitly addressing sex differences in biomedical research, including Alzheimer's disease and dementia. The purpose of our study was to perform a sex-stratified analysis of cognitive impairment using diverse medical, clinical, and genetic factors of unprecedented scale and scope by applying informatics approaches to three large Alzheimer's databases. Analyses suggested females were 1.5 times more likely than males to have a documented diagnosis of probable Alzheimer's disease, and several other factors fell along sex-specific lines and were possibly associated with severity of cognitive impairment
Alzheimer's disease · Cognition · Cognitive impairment · Dementia · Disease · Informatics · Pathology · Psychiatry · Clinical Psychology · Cognitive Abilities and Testing · Computer Science · Dementia and Cognitive Impairment Research · Medicine · Psychology · Sex and Gender in Healthcare · Gerontology
| Citations per year | 0.17 |
|---|---|
| Citation span | 2020 - 2020 (1) |
| Highly cited | No |