Nutrition, blood glucose and gum bone loss in rural Java

Summarised from:

Java project on periodontal diseases: periodontal bone loss in relation to environmental and systemic conditions
(Journal of Clinical Periodontology; doi: 10.1111/jcpe.12381)

Authors:

Amaliya A, Laine ML, Delanghe JR, Loos BG, Van Wijk AJ, Van der Velden U

Summarised by:

Dr Varkha Rattu

Research Topic:

Why does this matter?

Nutrition and access to care may affect both general and dental health. Researchers studied a rural Indonesian community to explore how these factors related to bone supporting the teeth.

What was studied?

Ninety-eight adults aged thirty-nine to fifty had dental X-rays, blood tests and dietary interviews. The community had limited access to regular dental care. Researchers compared existing bone loss with bacteria, inflammation, body size, vitamins and HbA1c.

What did the researchers find?

More bone loss was associated with higher levels of one periodontal bacterium and a blood inflammation marker. Lower body mass index and less frequent guava consumption were also associated with more damage. HbA1c and blood vitamin C or D levels did not show clear associations. Many participants had prediabetes-range glucose, but only a few had diabetes-range values.

What does this mean for me?

The findings do not show that eating guava prevents gum disease or that a higher body weight protects teeth. The lowest-weight participants were all male smokers, so several influences overlapped. Current diet and blood tests also cannot represent every exposure during years of bone loss. This study highlights the complexity of nutrition and dental health, without establishing a specific food or vitamin supplement as periodontal treatment.

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  |  12.02.15

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