Artificial neural network prediction of Indonesian mothers' emotional well-being: The role of social support, quality of life, and sharenting behavior

Within the framework of the stress-buffering model and ecological systems theory, the increasing integration of digital engagement into motherhood underscores the need to understand how psychosocial and technological factors relate to maternal mental health. This study examined the associations of demographic factors, social support, quality of life (QoL), and sharenting behavior with Indonesian mothers' emotional well-being (EWB). A cross-sectional survey was conducted with 300 Indonesian mothers aged 21-55 years who had children aged 0-8 years. Pearson correlations were used to examine bivariate associations, and an artificial neural network (ANN) was used to classify participants into below-median and above-median EWB groups based on a median split, using demographic, psychosocial, and sharenting-related predictors. EWB was positively associated with QoL (r = 0.68, p