ORAL HEALTH DISPARITIES IN DEMENTIA AND MARGINALIZED COMMUNITIES - Determinants and Interventions

Sep 28, 2026

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This symposium examines oral health disparities among older adults, emphasizing people living with dementia and members of marginalized communities. It covers research using machine learning (XGBoost) to identify social and physical environmental determinants of edentulism across 38,379 census tracts, and findings on oral health-related quality of life among Chinese American dementia caregivers, linking financial hardship and fewer natural teeth to worse outcomes. It also evaluates partner-assisted coaching and a smart toothbrush trial, with and without personalized coaching, showing sustained improvements in plaque and gingival indices. Results support tailored, community-based interventions and evidence to guide policy and practice.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages1

Reading Time3 min

AccessFree to download

Symposium overview

Determinants of edentulism using machine learning

Oral health-related quality of life in dementia caregivers

Care partner-assisted coaching intervention

Smart toothbrush randomized controlled trial

Implications for interventions and oral health equity

FAQs

What populations are the symposium focused on?

The symposium focuses on older adults, particularly those with dementia and people from marginalized communities.

How were determinants of edentulism analyzed in the first presentation?

Machine learning using XGBoost was used to analyze social and physical environmental determinants across 38,379 census tracts.

What intervention approaches were evaluated for oral health improvement?

The symposium evaluated a care partner-assisted behavioral change coaching approach and a smart toothbrush randomized controlled trial, including coaching-enhanced conditions.

Sep 28, 2026

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