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Fast eating or overeating can induce gastrointestinal diseases such as gastritis. However, the association between gastritis and speed of eating is unclear. The aim of this study was to determine whether eating speed is associated with increased risk of endoscopic erosive gastritis (EEG).
We carried out a cross-sectional study involving 10,893 adults who underwent a general health checkup between 2007 and 2009. Two groups, EEG patients and EEG-free patients, were compared by using the t-test and the chi-square test. Multiple logistic regression analyses were performed to investigate the association between eating speed and EEG.
The group with EEG had a higher proportion of males, average age, body mass index, and percentages of current smokers and risky drinkers than those without EEG. After adjusting for anthropometric, social, and endoscopic parameters, the group with the highest eating speed (<5 min/meal) had 1.7 times higher risk for EEG than the group with the lowest eating speed (≥15 min/meal) (odds ratio, 1.71; 95% confidence interval, 1.20-2.45).
High eating speed is an independent risk factor for EEG. Our results indicate the need for further studies to clarify the role of eating speed in gastritis.
Citations
To compare the predictability of the Framingham Risk Score (FRS), United Kingdom Prospective Diabetes Study (UKPDS) risk engine, and the Systematic Coronary Risk Evaluation (SCORE) for carotid atherosclerosis and peripheral arterial disease in Korean type 2 diabetic patients.
Among 1,275 registered type 2 diabetes patients in the health center, 621 subjects with type 2 diabetes participated in the study. Well-trained examiners measured the carotid intima-media thickness (IMT), carotid plaque, and ankle brachial index (ABI). The subject's 10-year risk of coronary heart disease was calculated according to the FRS, UKPDS, and SCORE risk scores. These three risk scores were compared to the areas under the curve (AUC).
The odds ratios (ORs) of all risk scores increased as the quartiles increased for plaque, IMT, and ABI. For plaque and IMT, the UKPDS risk score provided the highest OR (95% confidence interval) at 3.82 (2.36, 6.17) and at 6.21 (3.37, 11.45). For ABI, the SCORE risk estimation provided the highest OR at 7.41 (3.20, 17.18). However, no significant difference was detected for plaque, IMT, or ABI (P = 0.839, 0.313, and 0.113, respectively) when the AUCs of the three risk scores were compared. When we graphed the Kernel density distribution of these three risk scores, UKPDS had a higher distribution than FRS and SCORE.
No significant difference was observed when comparing the predictability of the FRS, UKPDS risk engine, and SCORE risk estimation for carotid atherosclerosis and peripheral arterial disease in Korean type 2 diabetic patients.
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