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Periodontitis is not associated with metabolic risk during the fourth decade of life.


ABSTRACT:

Aim

To examine associations between periodontitis and developmental trajectories of glycated haemoglobin (HbA1c) during the third and fourth decades in an initially healthy sample.

Materials and methods

HbA1c data collected at ages 26, 32 and 38 in the prospective Dunedin Multidisciplinary Health and Development Study were used to assign study members (n = 893) to trajectories applying group-based trajectory modelling (GBTM). The model allowed the statistical linking of baseline demographic, smoking and waist-height ratio covariates to group membership probability; and added a time-varying covariate (periodontitis) to the trajectories themselves to examine whether events that occurred during the course of the trajectory altered its course.

Results

Three HbA1c trajectory groups were identified: "Low" (n = 98, 11.0%); "Medium" (n = 482, 54.0%); and "High" (n = 313, 35.0%) with mean HbA1c of 29.6, 34.1 and 38.7 mmol/mol, respectively, at age 38. Having periodontitis at 32 and 38 was associated with an upward shift in the trajectories. However, none of the associations were statistically significant.

Conclusions

Periodontitis was not found to be associated with dysglycaemia over 12 years from early adulthood into early middle age. This suggests that any influence periodontitis may have on dysglycaemia develops later in life.

SUBMITTER: Shearer DM 

PROVIDER: S-EPMC6547373 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Publications

Periodontitis is not associated with metabolic risk during the fourth decade of life.

Shearer Dara M DM   Thomson W Murray WM   Broadbent Jonathan M JM   Mann Jim J   Poulton Richie R  

Journal of clinical periodontology 20161205 1


<h4>Aim</h4>To examine associations between periodontitis and developmental trajectories of glycated haemoglobin (HbA1c) during the third and fourth decades in an initially healthy sample.<h4>Materials and methods</h4>HbA1c data collected at ages 26, 32 and 38 in the prospective Dunedin Multidisciplinary Health and Development Study were used to assign study members (n = 893) to trajectories applying group-based trajectory modelling (GBTM). The model allowed the statistical linking of baseline d  ...[more]

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