Revealing Hidden Patterns: Harnessing Correspondence Analysis to Explore Maternal Lifestyle Profiles and Gestational Weight Gain.

Background/Objectives: Inadequate gestational weight gain (GWG), encompassing both low and excessive, is a significant concern because of its association with adverse maternal and neonatal health outcomes. The relationships between maternal lifestyle factors, such as diet, physical activity, prepregnancy body mass index (BMI), and GWG, are complex. This study aims to explore these associations via correspondence analysis (CA), a method that visualizes the relationships between categorical variables. Methods: A CA was conducted using baseline data from the ongoing LIMIT (Lifestyle and Microbiome Interaction Early Adiposity Rebound in Children) prospective cohort study. The analysis included 162 subjects whose complete maternal characteristic data were available to explore associations between maternal features and GWG. Results: The results were visualized through a two-dimensional graphical representation, with the related statistical measures. The horizontal axis of the CA map captures 63.4% of the total inertia of the data, and the vertical axis captures 36.6%. Maternal profiles with lower education, smoking, high meat consumption, and prepregnancy overweight or obesity showed a higher prevalence of excess GWG than did the average profile. Compared with the average profile, medium Mediterranean diet adherence was associated with a greater prevalence of low GWG and underweight and obese mothers with adequate GWG. Conclusions: This study identifies maternal lifestyle factors, such as diet and physical activity, as key determinants of GWG, with excess GWG linked to unhealthy behaviors. Tailored interventions focusing on prepregnancy BMI and dietary habits could optimize pregnancy outcomes. Personalized prenatal care is essential for managing GWG and improving maternal health.