Improvident maternity and its associated factors in urban slums of Chandigarh
Journal Title: International Journal of Advanced Community Medicine - Year 2018, Vol 1, Issue 3
Abstract
Background: Population explosions in developing countries are the major problem which neutralizes all the gains and developments achieved in the country. High fertility levels and undesired births existing in India lead to improvident maternity. Objective: To estimate the prevalence of improvident maternity and to investigate its socio- demographic, cultural and reproductive correlates. Method: A two-stage systematic random sample design was adopted in the present cross sectional study. Couples having wife in the reproductive age willing to participate in the study were selected. Results: Overall prevalence of improvident maternity was 43.6% which was 56.8% among those couples having no desire for child by wife. Improvident maternity rate was 44.9% among those having no son preference as compared 23.1% among those having son preference. Illiteracy of women, migratory population, age above 25 years, early age at marriage below 18 years, first delivery before 18 years of age, awareness of contraceptives, having no future desire of child, having no male child, having more daughters than sons were significant risk factors of improvident maternity. Conclusions and Suggestions: Improvident maternity rate in the studied area is very high. It is associated with socio-demographic and reproductive characteristics of couples. There is an urgent need of adopting some strategies for changing reproductive behavior of couples for reduction in improvident maternity rate for averting births and attaining desired outcomes. Strengths and Weaknesses 1.Efforts have been made to address issues related with differentials in fertility behavior of women and their spouses. 2.It suggests some potential solutions for reducing improvident maternity. 3.Correlates of improvident maternity observed in the present survey may be helpful in developing strategies for aversion of unwanted births by improving reproductive behavior. This study represents only slum population and results suffer regional bias. There is possibility of some more factors influencing the outcomes.
Authors and Affiliations
Dr. Dinesh Kumar, Meenu Kalia, Naveen K Goel, Munesh K Sharma
Keywords
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