Spss ver 14

Pearson chi-square test and a linear regression model were used to describe the relationship between the variables. Statistical significance was considered at p<0.05. All statistical analyses were performed by using SPSS ver. 14.0 (SPSS Inc., Chicago, IL, USA).

Data are presented as the mean ± standard deviation unless otherwise specified in the text. Differences were analyzed using the SPSS ver. 14.0 (SPSS Inc., Chicago, IL, USA) and Medcalc ver. 14.8.1 (Medcalc, Ostend, Belgium). Correlations between continuous variables were analyzed using the Pearson correlation test and linear regression. The ratio of males and females according to age group was compared using the chi-square test. The paired t-test was used to compare pairs of dependent groups, and Student's t-test for two independent groups. Two-sided p-values <0.05 were considered statistically significant.

Mann-Whitney U-test was used to compare the differences of Penh, cellular pattern in BAL fluid, and GST activity between OVA-model and sham model. All statistical analyses were performed using SPSS ver. 14.0 (SPSS Inc., Armonk, NY, USA). A p < 0.05 was considered to be statistically significant.

Statistical analysis was performed using SPSS ver. 14.0 (SPSS Inc., Chicago, IL, USA). The Student t-test and Mann-Whitney test were used to compare continuous variables between the 2 groups for each parametric and nonparametric variable. Categorical data were expressed as percentages and were compared using the chi-square test or Fisher exact test. We considered a P-value of 0.05 or less to be statistically significant.

The study was designed to assess the association between lifestyle factors and bowel preparation. The characteristics of subjects with optimal and suboptimal bowel preparation were compared using Student t-tests for continuous variables and chi-square tests for categorical variables. Daily nutrition and food intake were categorized by quartiles. Regression models were used to assess associations of daily nutrition with food intake and bowel preparation quality. Odds ratios (ORs) and 95% confidence intervals (CI) were estimated using logistic regression, both in the crude model and in the multivariate model. The multivariate model was adjusted for age, sex, smoking status, and alcohol consumption. Tests for trends were derived from logistic regression with a single term representing the medians of each quartile. A 2-sided P-value less than 0.05 was regarded as statistically significant. All statistical analyses were performed using SAS 9.3 (SAS Institute Inc., Cary, NC, USA) and SPSS ver. 14.0 (SPSS Inc., Chicago, IL, USA).