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.