The general characteristics of study participants across quartiles categories of each dietary pattern scores were calculated. Data are presented as mean ± SD for continuous variables or sum (percentages) for categorical variables. We used analysis of variance (ANOVA) to describe mean differences in continuous variables and the chi-squared test to assess the difference in categorical variables. Analysis of covariance was used to compare the difference of systolic blood pressure (SBP) and diastolic blood pressure (DBP) in the highest categories compared with the lowest categories of four dietary patterns. After adjusting for age, smoking status, economic income, educational level, physical activity level, body mass index, and total energy intake, log-binomial regression analysis was used to investigate the relationship between dietary patterns and the risk of hypertension. All statistical analyses were performed using the SPSS software package version 20.0 for Windows (SPSS Inc., Chicago, IL, USA). Two-sided p-values < 0.05 were considered statistically significant.
Spss software package version 20.0 for windows
Manufactured by IBM
Sourced in United States
SPSS software package version 20.0 for Windows is a statistical analysis software tool. It provides a range of data analysis and statistical functions to help users analyze and interpret data. The software is designed to work on the Windows operating system.
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Lab products found in correlation
2 protocols using spss software package version 20.0 for windows
1
Dietary Patterns and Hypertension Risk
2
Serum Uric Acid and NAFLD
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Data were generally analyzed by gender. Data were expressed as the mean and standard deviation (SD) for continuous variables and as sum (proportions) for categorical variables. The Chi-square test was used for categorical variables, while the independent samples t test or Mann–Whitney U test was used for continuous variables. Pearson bivariate correlation was performed to analyze the relation between SUA levels and other variables. Multivariable-adjusted logistic regression analysis was used to determine the effect of SUA and hyperuricemia on progression of NAFLD. The statistical significance of NAFLD for gender was evaluated using the Wald test.
Statistical analyses were performed using the SPSS software package version 20.0 for Windows (SPSS, Inc., Chicago, IL). Two-sided P-values <.05 were considered statistically significant.
Statistical analyses were performed using the SPSS software package version 20.0 for Windows (SPSS, Inc., Chicago, IL). Two-sided P-values <.05 were considered statistically significant.
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