Statistical Analysis
depression, psychological distress, anxiety
REGRESSION, LITTLE
We used the Little test to assess whether the missing mechanism is completely random. Because the We used the generalized estimated equation with an unstructured working correlation matrix to explore the effect of the digital GSH-MBI on maternal psychological distress, including symptoms of depression, anxiety, and pregnancy-related anxiety. The generalized estimated equation does not require imputing missing values, which is especially advantageous in longitudinal studies with missing data, as all available data are used and no cases are deleted. We followed the intention-to-treat analysis and performed a sensitivity analysis using a mixed-effects modeling approach (We used linear regression to scrutinize the effects of the intervention on infant neuropsychological development. Infant sex, maternal age, maternal education, and average monthly household income were included as covariates in the regression analysis according to previous RCT studies that focused on maternal psychological intervention and child neurodevelopment [We performed further analyses using Amos (version 26.0; IBM Corp) to examine the effects of the intervention on infant neuropsychological development by mitigating maternal psychological distress. The model of mediation was established with an independent variable (X, treatment allocation), a mediating variable (M, maternal psychological distress at T2 or T3), and a dependent variable (Y, infant outcomes). We performed a partial correlation analysis to investigate the relationship between maternal psychological distress at T2 or T3 and infant neuropsychological development after adjusting for psychological distress at T1. We included only maternal psychological distress variables that were significantly correlated with infant neuropsychological development in the mediation analysis.We conducted statistical analyses using SPSS (version 26.0; IBM Corp). We calculated Cohen 