Authors
Hamid R. Sohrabi, Edith Cowan UniversityFollow
Kristyn A. Bates
Michael Weinborn
Romola S. Bucks
Stephanie R. Rainey-Smith, Edith Cowan University
Mark A. Rodrigues, Edith Cowan University
Sabine M. Bird
Belinda M. Brown
John Beilby
Matthew Howard
Arthur Criddle
Megan Wraith
Kevin Taddei, Edith Cowan UniversityFollow
Georgia Martins, Edith Cowan University
Athena Paton, Edith Cowan University
Tejal Shah, Edith Cowan University
Satvinder S. Dhaliwal
Pankaj D. Mehta
Jonathan K. Foster
Ian J. Martins, Edith Cowan UniversityFollow
Nicola T. Lautenschlager
Francis Mastaglia
Simon LawsFollow
Ralph Martins, Edith Cowan UniversityFollow
Author Identifier
Hamid Reza Sohrabi
https://orcid.org/0000-0001-8017-8682
Kevin Taddei
https://orcid.org/0000-0002-8106-7957
Tejal Shah
https://orcid.org/0000-0002-3069-3835
Ralph Martins
Document Type
Journal Article
Publisher
Frontiers Research Foundation
Faculty
Faculty of Health, Engineering and Science
School
School of Medical Sciences
RAS ID
19875
Funders
National Health and Medical Research Council
Grant Number
NHMRC Number : 324100
Abstract
Cognitive decline and dementia due to Alzheimer's disease (AD) have been associated with genetic, lifestyle, and environmental factors. A number of potentially modifiable risk factors should be taken into account when preventive or ameliorative interventions targeting dementia and its preclinical stages are investigated. Bone mineral density (BMD) and body composition are two such potentially modifiable risk factors, and their association with cognitive decline was investigated in this study. 164 participants, aged 34–87 years old (62.78 ± 9.27), were recruited for this longitudinal study and underwent cognitive and clinical examinations at baseline and after 3 years. Blood samples were collected for apolipoprotein E (APOE) genotyping and dual energy x-ray absorptiometry (DXA) was conducted at the same day as cognitive assessment. Using hierarchical regression analysis, we found that BMD and lean body mass, as measured using DXA were significant predictors of episodic memory. Age, gender, APOE status, and premorbid IQ were controlled for. Specifically, the List A learning from California Verbal Learning Test was significantly associated with BMD and lean mass both at baseline and at follow up assessment. Our findings indicate that there is a significant association between BMD and lean body mass and episodic verbal learning. While the involvement of modifiable lifestyle factors in human cognitive function has been examined in different studies, there is a need for further research to understand the potential underlying mechanisms.
DOI
10.3389/fnagi.2015.00016
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Sohrabi, H. R., Bates, K. A., Weinborn, M., Bucks, R. S., Rainey-Smith, S. R., Rodrigues, M. A., ... & Martins, R. N. (2015). Bone mineral density, adiposity, and cognitive functions. Frontiers in Aging Neuroscience, 7, 16. https://doi.org/10.3389/fnagi.2015.00016