This research primarily investigates the role of different menstrual products on pregnancy conditions, and any possible complications, by corroborating it with the IABR dataset in NFHS-4 and NFHS-5. The attributes that stood out surrounded the different components of menstruation, pregnancy complications, birth issues, hemoglobin levels, mother’s age, and delivery costs and circumstances are used to find associations between menstrual products (like cloth, sanitary napkins, tampons, menstrual cups, local prepping, none) and pregnancy complications (vaginal bleeding, convulsions, prolonged labor, severe abdominal pain, high blood pressure). In order to draw insightful conclusions from our datasets we performed clustering, to explain the distribution of period products over different chosen clusters and association rule mining, to establish association rules for the attributes of interest. Temporal analysis was also performed using regression to understand the behavior according to the variations in the attributes over time.