Construction on stochastic models help in accommodating the effect of uncertainty in life science, In this study stochastic models are constructed for the family building components which shows random variation during the time of pregnancy. Such variables selected are Viz: Hemoglobin, Blood pressure upper, Blood pressure lower and Blood sugar. For each one the upper and lower level were obtained from experts and the difference is equally spaced and the Markov-Transition Probability matrix is constructed for each one. The result indicated coincidence between the duration of pregnancy and the convergence of the Markov Transition Probability matrix, For substantiation additional variables Viz: gestation period baby weight were included and a linear multiple regression equation is estimated. The study reveals that Blood pressure (B.P) and Blood sugar control bring cheers in child health.