# Identifying dementia risk profiles for targeted interventions: A latent class analysis of at‐risk middle‐aged Australians

**Authors:** Muhammad Rehan Sarwar, Amanda J. Cross, Kali Godbee, Gopisankar Mohanannair Geethadevi, Parker Magin, Mary Tullipan, Amanda L. Baker, Billie Bonevski, Stephanie A. Ward, Ajay Mahal, Vincent Versace, J. Simon Bell, Kevin Mc Namara, Sharleen L. O'Reilly, Dennis Thomas, Elizabeth Manias, Kaarin J. Anstey, Marlien Varnfield, Rajiv Jayasena, Rohan A. Elliott, Cik Y. Lee, Andrea Hernan, Denise van den Bosch, Catherine Ferreira, Johnson George

PMC · DOI: 10.1002/alz.70888 · Alzheimer's & Dementia · 2025-11-07

## TL;DR

This study identifies three distinct dementia risk profiles in middle-aged Australians to guide personalized prevention strategies.

## Contribution

The study introduces a novel approach to dementia risk profiling using latent class analysis for targeted interventions.

## Key findings

- Three distinct dementia risk profiles were identified: High Cardiometabolic Burden, High Behavioral and Psychosocial Risk, and Low Risk with Healthy Behaviors.
- Participants had a median of five modifiable dementia risk factors, with significant correlations between behavioral and clinical risk factors.
- Tailored multidomain interventions are suggested to improve dementia risk profiles and broader health outcomes.

## Abstract

This study aimed to identify distinct dementia risk profiles in middle‐aged adults with two or more potential dementia risk factors, to inform targeted prevention strategies.

Cross‐sectional analysis of baseline sociodemographic, clinical, and dementia‐risk data from the HAPPI MIND trial. Dementia risk was assessed using the Australian National University Alzheimer's Disease Risk Index. Risk profiles were identified using latent class analysis (LCA).

Among 403 participants (mean age 56.4 ± 5.7 years, 62.5% female), the median number of dementia risk factors was 5.0; hyperlipidaemia (92.5%), low cognitive activity (72.5%), obesity (57.6%), and hypertension (52.7%) were the most prevalent. Several risk factors showed significant positive correlations. LCA identified three distinct classes: 1−High Cardiometabolic Burden; 2−High Behavioural and Psychosocial Risk; and 3−Low Risk with Healthy Behaviours.

The identified latent classes highlight heterogeneity of dementia risk profile in midlife. Tailored, multidomain interventions addressing each group's specific needs may improve dementia risk profiles and support broader health outcomes.

Middle‐aged Australians who participated in the HAPPI MIND dementia risk reduction trial had a median of five modifiable risk factors.Significant positive correlations were observed between behavioral and clinical risk factors, such as depression, along with poor diet, social isolation, and smoking.Latent class analysis revealed three distinct profiles: High Cardiometabolic Burden; High Behavioral and Psychosocial Risk; and Low Risk with Healthy Behaviors.The findings suggest there is a need for personalized, multidomain prevention strategies tailored to individual risk profiles in primary care.

Middle‐aged Australians who participated in the HAPPI MIND dementia risk reduction trial had a median of five modifiable risk factors.

Significant positive correlations were observed between behavioral and clinical risk factors, such as depression, along with poor diet, social isolation, and smoking.

Latent class analysis revealed three distinct profiles: High Cardiometabolic Burden; High Behavioral and Psychosocial Risk; and Low Risk with Healthy Behaviors.

The findings suggest there is a need for personalized, multidomain prevention strategies tailored to individual risk profiles in primary care.

## Linked entities

- **Diseases:** dementia (MONDO:0001627), obesity (MONDO:0011122), hyperlipidaemia (MONDO:0001336), depression (MONDO:0002050)

## Full-text entities

- **Diseases:** Dementia (MESH:D003704), depression (MESH:D003866), Alzheimer's Disease (MESH:D000544), hypertension (MESH:D006973), obesity (MESH:D009765)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12592938/full.md

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12592938/full.md

## References

59 references — full list in the complete paper: https://tomesphere.com/paper/PMC12592938/full.md

---
Source: https://tomesphere.com/paper/PMC12592938