Blood glucose predicted small later changes in gum pockets

Summarised from:

Longitudinal association between periodontal condition and glycaemic status in middle-aged adults: A cross-lagged panel analysis.
(Journal of Clinical Periodontology; doi: 10.1111/jcpe.13809)

Authors:

Dewi L. I. Nasution, Michiko Furuta, Huihua Li, Myrna Nurlatifah Zakaria, Toru Takeshita, Marco A. Peres, Yoshihisa Yamashita

Summarised by:

Dr Mira Shah

Research Topic:

Why does this matter?

The relationship between diabetes and gum disease may operate in both directions. This study tested whether earlier blood glucose measurements predicted later gum changes, and whether the reverse was also seen.

What was studied?

Researchers analysed dental and medical assessments over five years in 2,198 adults with complete data. Gum measurements covered selected sites on each tooth. The analysis considered smoking, dental attendance, body size and other factors.

What did the researchers find?

Higher starting HbA1c was associated with slightly deeper gum pockets at follow-up. The average difference was very small. Earlier gum measurements did not clearly predict later glucose levels in this analysis. Many people were excluded because of missing data, and those excluded tended to have less favourable dental and metabolic health.

What does this mean for me?

The findings support investigating the influence of blood glucose on gum tissues, but they do not show a strong two-way effect in this particular population. A small average statistical association is not a forecast of how much an individual’s gums will change. The study also does not test whether lowering glucose by a particular amount prevents periodontal damage. Both dental and diabetes monitoring remain distinct parts of assessing health over time.

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.

Read the full article Back to Research

Research  |  19.03.23

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