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Updated: Jan 8, 2026

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
Published on: August 22, 2012
Public Health
Brittany Intzandt1,2, Joel Ramirez1,2,3,4,5,6, Benjamin Lam3,6,7
1Sunnybrook Research Institute, Toronto, ON, Canada.
Dementia risk factors show distinct network patterns between males and females, despite similar overall network structures. Understanding these sex-specific differences is crucial for developing targeted dementia prevention strategies.
Area of Science:
- Neuroscience
- Public Health
- Gerontology
Background:
- Dementia incidence is rapidly increasing globally, particularly among females.
- Identifying modifiable and non-modifiable risk factors (RF) is critical for dementia prevention.
- Sex-specific RF and their interactions require further investigation due to higher dementia prevalence in females.
Purpose of the Study:
- To analyze common RF for cognitive decline (CD) using network analysis.
- To compare sex-specific networks of RF for dementia.
- To identify unique RF and interactions influencing dementia risk in males and females.
Main Methods:
- Network analysis was performed on data from 411 individuals with CD.
- Sex-specific networks were created to examine RF, including non-modifiable (e.g., age) and modifiable (e.g., sleep, alcohol use) factors.
- Node centrality was assessed to determine the relative importance of each RF.
Main Results:
- No significant difference in overall network structure between male and female CD groups.
- Male networks exhibited higher global strength (greater connectivity) than female networks.
- Key central nodes differed: systolic blood pressure, diagnosis, age, and sleep quality in females; memory and cognitive medication use in males.
Conclusions:
- Unique sex-specific network patterns of RF for CD were identified.
- Differences in RF connectivity and central nodes highlight the need for sex-disaggregated analyses.
- Further research integrating biomarkers is needed to understand sex-specific RF influence on dementia risk.
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