Evaluation of oral health related to body mass index
Article first published online: 1 MAY 2012
© 2012 John Wiley & Sons A/S
Volume 18, Issue 8, pages 748–755, November 2012
How to Cite
Benguigui, C., Bongard, V., Ruidavets, J.-B., Sixou, M., Chamontin, B., Ferrières, J. and Amar, J. (2012), Evaluation of oral health related to body mass index. Oral Diseases, 18: 748–755. doi: 10.1111/j.1601-0825.2012.01940.x
- Issue published online: 26 SEP 2012
- Article first published online: 1 MAY 2012
- Accepted manuscript online: 5 APR 2012 01:53PM EST
- Received 30 September 2011; revised 14 February 2012; accepted 15 March 2012
- body mass index;
- periodontal status;
- plaque index;
Oral Diseases (2012) 18, 748–755
Objective: Poor oral health has previously been related to high body mass index (BMI). We aimed at exploring the link between BMI and several oral health markers, after adjustment for dietary patterns and plasma insulin, both of which could act as mediators.
Subjects and Methods: Dental examination was performed in a sample of 186 French subjects aged 35–64 years and selected from the general population to assess number of missing teeth, periodontitis, clinical attachment loss (CAL), probing pocket depth (PD), gingival index (GI) and plaque index (PI). Data collection also included a food-frequency questionnaire. BMI (considered as outcome variable) was categorized into quartiles, and as BMI<25; 25 ≤BMI<30; and BMI ≥ 30 kg m−2.
Results: After adjustment for age, gender, education level, smoking, physical activity, energy intake and C-reactive protein, BMI was statistically associated with missing teeth, PD and PI, but not with CAL, GI or periodontitis. After additional adjustment for ‘high-carbohydrate’ diet and plasma insulin or HOMA (homeostasis model assessment) index for insulin resistance, the statistical relationship between BMI and oral variables remained significant only for PD and PI.
Conclusions: Plaque index, reflecting dental plaque, and PD, closely linked with periodontal inflammation and infection, are statistically associated with high BMI and obesity, independently of dietary patterns and insulin resistance.