Long-term glucose patterns and gum health before diabetes

Summarised from:

Association of hyperglycaemia with periodontal status: Results of the Northern Finland Birth Cohort 1966 study.
(Journal of Clinical Periodontology; doi: 10.1111/jcpe.13388)

Authors:

Paula Tegelberg, Tellervo Tervonen, Matti Knuuttila, Jari Jokelainen, Sirkka Keinänen-Kiukaanniemi, Juha Auvinen, Pekka Ylöstalo

Summarised by:

Dr Varkha Rattu

Research Topic:

Why does this matter?

Researchers wanted to know whether modest glucose changes, below the diabetes range, were associated with later gum findings. This may help explain early links between metabolic and dental health.

What was studied?

The analysis involved 647 never-smokers from a Finnish birth cohort without diagnosed diabetes. Blood glucose measurements at ages thirty-one and forty-six were compared with a gum and dental X-ray assessment at forty-six.

What did the researchers find?

Some patterns of slightly raised or worsening glucose were associated with deeper gum pockets or greater bone loss. Results depended on how glucose groups were defined; not every comparison involving prediabetes showed a clear difference. Because gum disease was not measured in the same detail at both ages, the analysis could not directly demonstrate how each person’s periodontal condition progressed.

What does this mean for me?

The study suggests that glucose changes may be relevant before a diabetes diagnosis, but it does not provide a personal glucose target for preventing gum disease. The participants were a selected group of never-smokers, and the pattern was not simple or uniform. It also does not show that treating gums reverses prediabetes. Dental and medical assessments can address both concerns without assuming one measurement explains the other.

What should I keep in mind?

Following people over time helps researchers study the order of events, but it does not remove all uncertainty. People with different health or dental histories may also differ in medicines, smoking, access to care and other influences. Some participants may be missing from later assessments. Statistical adjustments cannot fully account for everything. The results describe patterns in the people studied, not a personal forecast. They should be considered alongside other research and your own clinical findings when discussing their relevance to you.

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Research  |  13.10.20

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