Raised glucose and gum disease: findings became uncertain after adjustment

Summarised from:

The association between undiagnosed glycaemic abnormalities and cardiometabolic risk factors with periodontitis: results from 2007-2009 Canadian Health Measures Survey
(Journal of Clinical Periodontology; doi: 10.1111/jcpe.12684)

Authors:

Aleksandra Zuk, Carlos Quiñonez, Michael Lebenbaum, Laura C Rosella  

Summarised by:

Dr Varkha Rattu

Research Topic:

Why does this matter?

Researchers examined whether people with unrecognised glucose abnormalities were more likely to have periodontitis. They also considered whether social circumstances changed that relationship.

What was studied?

The study used Canadian health survey data, including a fasting blood-test subgroup. Gum support was assessed on selected teeth. Analyses considered age, smoking, body size and other factors, then added household income and education.

What did the researchers find?

Raised fasting glucose was associated with more periodontitis before the fullest adjustment. Once income and education were included, the estimate was similar but no longer statistically clear. Prediabetes, undiagnosed diabetes and raised HbA1c considered separately did not show clear associations in the fully adjusted analyses. Some estimates were imprecise because relatively few participants had the relevant condition.

What does this mean for me?

The findings do not establish gum disease as a reliable sign of undiagnosed diabetes. They also do not prove that social factors explain the entire relationship. Research uncertainty can reflect limited numbers as well as the influence of other characteristics. A medical decision about glucose testing should use the whole clinical picture, while dental findings should be evaluated for their own significance rather than treated as a blood test result.

What should I keep in mind?

This study provides a snapshot rather than showing what happened first. People in the comparison groups may differ in ways the researchers could not fully measure, such as other health conditions, medicines or access to care. Statistical adjustment helps, but cannot remove every difference. A relationship seen across a group is also not a forecast for one person. The findings are best viewed as a reason for further research, not proof that changing one measurement will prevent or treat another condition.

Read the full article Back to Research

Research  |  24.01.17

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Periodontitis-Diabetes Hub Position: Founder & Periodontology Co-Lead

Team - The Periodontitis-Diabetes Hub

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Periodontitis-Diabetes Hub Position: Diabetes Co-Lead

Team - The Periodontitis-Diabetes Hub

Dr Rajeev Raghavan

Periodontitis-Diabetes Hub Position: Diabetes Co-Lead

Team - The Periodontitis-Diabetes Hub

Professor Mark Ide

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Team - The Periodontitis-Diabetes Hub

Professor Luigi Nibali

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Dr Dominika Antoniszczak

Periodontitis-Diabetes Hub Position: Education and Support Advisor

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Team - The Periodontitis-Diabetes Hub

Elaine Tilling

Periodontitis-Diabetes Hub Position: Outreach and Communications Lead

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