Oral diseases are associated with cognitive function in adults over 60 years old

Author:

Gao Chenyi1,Larvin Harriet2,Bishop David Timothy3,Bunce David4,Pavitt Susan1,Wu Jianhua2ORCID,Kang Jing1ORCID

Affiliation:

1. School of Dentistry University of Leeds Leeds UK

2. Centre for Primary Care, Wolfson Institute of Population Health, Queen Mary University of London London UK

3. Leeds Institute of Medical Research, School of Medicine University of Leeds Leeds UK

4. School of Psychology University of Leeds Leeds UK

Abstract

AbstractObjectiveTo investigate the bidirectional association between oral diseases and cognitive function comprehensively.Subjects and MethodsThis cross sectional study utilized data from the National Health and Nutrition Examination Survey. Oral diseases include periodontitis, dental caries, and tooth loss (end point of oral disease resulting in tooth extraction). Cognitive function included three domains: memory, processing speed, and executive function. A global cognitive score was then derived from sum of the three cognitive domains. Oral cognition associations were examined using various statistical models: (1) Regress oral disease on cognitive function; (2) Regress cognitive function on oral disease; and (3) Structural equation modelling treating cognition and oral disease as latent variables.ResultsThere were 2508 participants aged 60+ who had both oral and cognitive information. Associations between various oral disease and global cognitive score were observed (Odds ratio ORcog‐>periodontitis 0.95, 95% Confidence Interval [0.92, 0.99]; βcog‐>caries −0.13, [−0.23, −0.04]; βcog‐>tooth loss −0.03 [−0.04, −0.01]; βtooth loss‐>cog −0.04 [−0.06, −0.02]; βcaries‐>cog −0.03 [−0.06, −0.01]; βperiodontitis‐>cog −0.39 [−0.69, −0.10]). Significant correlation was also found between these oral disease and cognitive function using structural equation model (r −0.22, [−0.34, −0.10]).ConclusionsThis study found robust bidirectional associations between oral disease and cognitive function using various modelling approaches among the aging population.

Publisher

Wiley

Subject

General Dentistry,Otorhinolaryngology

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