Statistical analysis
The statistical software package SPSS 27 was used to analyze the data.
Missing data analysis indicated that, across variables measured by the
self-report questionnaires, 0-10.3% of values were missing. Missing
data were replaced with expectation maximization algorithm, based on all
variables in the model.
A serial of Chi square and t tests analyses were used to examine
differences between the dyspareunia group and the comparison group in
demographic data, obstetric outcomes, perceptions of birth, and
adjustment following the childbirth.
Finally, to explore the specificity of the effects of dyspareunia on
study variables, Chi square analyses and univariate analyses of variance
(ANOVAs), examined the associations between pain experienced during
pelvic examinations, and obstetric outcomes, perceptions of birth, and
adjustment following the childbirth.