Spss for windows v 17

Data were analyzed using SPSS for Windows v.17.0 software (SPSS Inc., Chicago, IL, USA). The χ² test was used to analyze the distribution of general characteristics among different job strain groups and evaluate Hardy-Weinberg equilibrium. Hardy-Weinberg equilibrium (HWE) is assumed when observed genotype and allele frequencies between parents and their offspring are in equilibrium in a population. When p > 0.05, the research object is representative of the general population. Job strain scores of different genotypes and social support groups were analyzed as continuous variables and evaluated by one-way analysis of variance. Odds ratios (ORs) and 95% confidence intervals (CIs) were determined for risk associated with job strain by ordinal logistic regression. The tests were two-tailed and the significance level was set at p < 0.05.

The SPSS for Windows v.17.0 software was used in all statistical analyses. The data are expressed as mean ± SD. The distribution of the variables and the relationship between them were evaluated with the independent samples t-test. The intergroup elastography measurements, age, creatinine, and global sclerosis were analyzed with one-way analysis of variance (ANOVA). The chi-square test was used for the analysis of the nominal data, while Pearson’s correlation test was used to evaluate the correlation between the numerical variables. The statistical significance level was set at p < .05.

The association of each variable, including age, gender and oipA “on” status with the H. pylori-associated diseases (dependent variable) was tested in univariate analysis. All variables with a P-value of 0.20 or less were included in the full model of logistic regression. Odds ratio (OR) and 95% confidence interval (CI) were used as an estimate of the risk. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the fit of models. Correlations were evaluated by Pearson or Spearman’s correlations. Data were analysed with the software SPSS for Windows, v. 17.0 (SPSS Inc., Chicago, IL). The level of significance was set at P ≤ 0.05.

In order to obtain feedback about the utility of the patient reports, 210 GPs in the Newham Clinical Commissioning Group were surveyed, using SurveyMonkey software (SurveyMonkey, Palo Alto, California, USA). They were provided with three samples of anonymised patient reports and paired dictated letters and invited to complete the survey by answering questions about their preferences. A paper-based survey was also conducted of 53 patients who were invited to answer questions after their consultation on receipt of their patient report. Participation in both surveys was voluntary and all responses were anonymised. The survey questions are shown in online supplementary tables A1 and A2. An ordinal logistic regression model was used to test whether or not a patient’s gender or age group could predict a patient’s thoughts on the utility of the patient report compared with the conventional dictated clinic letter. The data were analysed using SPSS for Windows V.17.0 software.