Dataset Information

Mastication and risk for diabetes in a Japanese population: a cross-sectional study.

ABSTRACT:

Background

Associations between mastication and insufficient nutrient intake, obesity, and glucose metabolism have been shown in previous studies. However, the association between mastication and diabetes has not been clarified. Our objective was to examine the association between mastication, namely masticatory performance or rate of eating, and diabetes in a population-based cohort.

Methods

We conducted a cross-sectional study of the association between mastication and diabetes in the Nagahama Prospective Cohort Study, an ongoing study which recruits citizens of Nagahama City in Shiga Prefecture, central Japan. 2,283 male and 4,544 female residents aged 40-74 years were enrolled from July 2009 to November 2010. Masticatory performance was evaluated by spectrophotometric measurement of color changes after masticating color-changeable chewing gum. Categorical rate of eating (fast, intermediate or slow) was self-assessed using a questionnaire.

Results

177 males (7.7%) and 112 (2.4%) females were diagnosed with diabetes. We divided participants into four groups by quartile of masticatory performance, namely Q1 (lowest), 2, and 3 and 4 (highest). Compared to the lowest performance group, the multivariable adjusted odds ratio (OR) of diabetes was 0.91 (95% confidence interval (CI), 0.58-1.4) in Q2, 0.77 (95% CI, 0.48-1.2) in Q3, and 0.53 (95% CI, 0.31-0.90) in the highest group in males, and 1.2 (95% CI, 0.73-2.0), 0.95 (95% CI, 0.54-1.6) and 0.56 (95% CI, 0.30-1.0) in females. We also estimated ORs of diabetes by rate of eating. Compared to the fast eating group, ORs in males were 0.87 (95% CI, 0.61-1.2) in the intermediate group and 0.38 (95% CI, 0.16-0.91) in the slow group, and ORs in females were 0.92 (95% CI, 0.59-1.4) and 1.5 (95% CI, 0.73-3.0).

Conclusions

These findings support the hypothesis that higher masticatory performance and slow eating prevent the occurrence of diabetes.

SUBMITTER: Yamazaki T

PROVIDER: S-EPMC3674007 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

Mastication and risk for diabetes in a Japanese population: a cross-sectional study.

Yamazaki Toru T Yamori Masashi M Asai Keita K Nakano-Araki Ikuko I Yamaguchi Akihiko A Takahashi Katsu K Sekine Akihiro A Matsuda Fumihiko F Kosugi Shinji S Nakayama Takeo T Inagaki Nobuya N Bessho Kazuhisa K

PloS one 20130605 6

<h4>Background</h4>Associations between mastication and insufficient nutrient intake, obesity, and glucose metabolism have been shown in previous studies. However, the association between mastication and diabetes has not been clarified. Our objective was to examine the association between mastication, namely masticatory performance or rate of eating, and diabetes in a population-based cohort.<h4>Methods</h4>We conducted a cross-sectional study of the association between mastication and diabetes ...[more]

PMID: 23755114

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Project description:BackgroundAn increase in chronic conditions is currently the greatest threat to human health and to the sustainability of health systems. Risk adjustment systems may enable population stratification programmes to be developed and become instrumental in implementing new models of care.The objectives of this study are to evaluate the capability of ACG-PM, DCG-HCC and CRG-based models to predict healthcare costs and identify patients that will be high consumers and to analyse changes to predictive capacity when socio-economic variables are added.MethodsThis cross-sectional study used data of all Basque Country citizens over 14 years of age (n = 1,964,337) collected in a period of 2 years. Data from the first 12 months (age, sex, area deprivation index, diagnoses, procedures, prescriptions and previous cost) were used to construct the explanatory variables. The ability of models to predict healthcare costs in the following 12 months was assessed using the coefficient of determination and to identify the patients with highest costs by means of receiver operating characteristic (ROC) curve analysis.ResultsThe coefficients of determination ranged from 0.18 to 0.21 for diagnosis-based models, 0.17-0.18 for prescription-based and 0.21-0.24 for the combination of both. The observed area under the ROC curve was 0.78-0.86 (identifying patients with a cost higher than P-95) and 0.83-0.90 (P-99). The values of the DCG-HCC models are slightly higher and those of the CRG models are lower, although prescription information could not be used in the latter. On adding previous cost data, differences between the three systems decrease appreciably. Inclusion of the deprivation index led to only marginal improvements in explanatory power.ConclusionThe case-mix systems developed in the USA can be useful in a publicly financed healthcare system with universal coverage to identify people at risk of high health resource consumption and whose situation is potentially preventable through proactive interventions.

Dataset Information

Mastication and risk for diabetes in a Japanese population: a cross-sectional study.

Background

Methods

Results

Conclusions

Publications

Mastication and risk for diabetes in a Japanese population: a cross-sectional study.

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