Unmet need for family planning of married women in rural areas of Kalaburagi: an application of multiple logistic regression model

ABSTRACT

Background: Unmet need for family planning, which refers to the condition in which there is the desire to avoid or post-pone child bearing, without the use of any means of contraception, has been a core concept in the field of international population. This study aimed to determine the factors affecting for unmet need for family planning among married women in the age group of 15-49 years of rural areas of Kalaburagi. By multiple logistic regression model and stepwise forward logistic regression model to estimate the parameters of the model, odds ratios and log likelihood values are computed. Testing of hypothesis of goodness of fit of the model is carried out by Hosmer and Lemeshow test.Methods: 600 married women in the age group of 15-49 years were the study participants who were selected randomly from the 7 taluks of rural areas by using multistage sampling techniques.Results: Total of 26 explanatory variables are included in the model, in which only 5 explanatory variables (19.00%) are found to be significant regression coefficients i.e., education of married women, abortion, physical deformities baby, ideal gap between children, contraceptive used in past normal level of significance (p<0.05).Conclusions: The test statistic of all five models, only model 4 and model 5 fit well with response variable for the rural sample data.