Prediabetes was associated with more gum bleeding

Summarised from:

Cross-sectional associations of impaired glucose metabolism measures with bleeding on probing and periodontitis
(Journal of Clinical Periodontology; doi: 10.1111/jcpe.12662)

Authors:

Cynthia M Pérez, Francisco Muñoz, Oelisoa M Andriankaja, Christine S Ritchie, Sasha Martínez, José Vergara, José Vivaldi, Lydia López, Maribel Campos, Kaumudi J Joshipura

Summarised by:

Dr Varkha Rattu

Research Topic:

Why does this matter?

Prediabetes means blood glucose is above the usual range but does not meet diabetes criteria. Researchers explored whether it was associated with gum inflammation and more advanced periodontal disease.

What was studied?

The study assessed 1,191 middle-aged Hispanic adults with overweight or obesity who did not have diabetes. Participants had gum examinations and several glucose-related tests, including an estimate of how effectively their bodies responded to insulin.

What did the researchers find?

Prediabetes was associated with higher odds of widespread gum bleeding and severe periodontitis. Insulin resistance was also associated with bleeding. However, an abnormal HbA1c result considered on its own did not show a clear association with either gum outcome. Different glucose tests capture different aspects of metabolism, so those findings are not necessarily contradictory.

What does this mean for me?

The study suggests a connection worth exploring, but it does not mean prediabetes causes gum disease or that gum bleeding diagnoses prediabetes. The reported percentages refer to relative odds, not the proportion of people who will develop disease. Findings from this selected population may not apply equally to other groups. If both gum symptoms and metabolic concerns are present, each can be assessed without assuming that one test explains every part of the picture.

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  |  13.01.17

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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

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Dr Rajeev Raghavan

Periodontitis-Diabetes Hub Position: Diabetes Co-Lead

Team - The Periodontitis-Diabetes Hub

Professor Mark Ide

Periodontitis-Diabetes Hub Position: Periodontology Co-Lead

Team - The Periodontitis-Diabetes Hub

Professor Luigi Nibali

Periodontitis-Diabetes Hub Position: Periodontology Co-Lead

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Dr Dominika Antoniszczak

Periodontitis-Diabetes Hub Position: Education and Support Advisor

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Dr Jasmine Loke

Periodontitis-Diabetes Hub Position: Clinical Content Advisor

Team - The Periodontitis-Diabetes Hub

Dr Mira Shah

Periodontitis-Diabetes Hub Position: Patient Resource Advisor

Team - The Periodontitis-Diabetes Hub

Elaine Tilling

Periodontitis-Diabetes Hub Position: Outreach and Communications Lead

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