Statistical analysis
For data analysis, a database was being built on the Microsoft Excel
spreadsheet that was being exported to the Minitab 18® statistical
program (version 18, Minitab, LLC, State College, Pennsylvania, USA)
(Minitab®) and also to OriginPro® 9 (DPR Group, Inc., Northampton,
Massachusetts, USA) (Moberly, Bernards, Waynant, 2018). TheKolmogorov-Smirnov test for normality was used to confirm the
normal distribution of the variables. The results are presented as mean
± standard deviation for numerical variables and absolute numbers
(percentage) for categorical variables. A paired Student’s t test was
used for comparisons between values obtained at the baseline and at the
end of the treatment and non paired t test for comparisons between
patients that did the balloon upward adjustment and those that didn’t.
Comparisons between different reductions in Total Weight Loss and Excess
Weight Loss, with and without Spatz3® adjustment, were made with One-Way
and variance (ANOVA) analysis. Multivariate analysis (Dendogram) was
also performed to find out the degree of similarity (%) between the
mean of %TWL and %EWL groups. In all statistical analyzes, a
p-value<0.05 was considered to be significant.