Relationship of the political profile of the current mayors in Cavite to infant mortality rate and maternal mortality rate, S.Y. 2014-2015

Date of Completion


Document Type

Research Project

Degree Name

Community Medicine


Infant Mortality, Maternal Mortality


This study utilized a cross-sectional research design, a type of analytic observational study. Data were collected through review of records and self-administered questionnaire. The political profile of mayors were gathered through the Department of Interior and Local Government-Province of Cavite. The Infant Mortality Rate (IMR) and Maternal Mortality Rate (MMR) were assembled through the Provincial Health of Office in Trece Martires City. Prevalence ratio were calculated to determine the association of political profile of Mayors to IMR and MMR. The study utilized both descriptive and inferential statistics. Frequencies and the central tendecies of the variables were determined. Chi-square was used to determine the association of educational background and length of service to IMR and MMR while ANOVA was used for statistical testing of party lists to IMR and MMR. The municipalities of all mayors with health-related educational background have low IMR and MMR. 94.47% of mayors with non-health educational background have municipalities with low IMR while 84.21% have low MMR. The study concluded that there was no sufficient evidence to conclude that there is a significant difference between the prevalence of low IMR and MMR of the mayors of Cavite with health-related and more than 5 years of service to non-health-related background and less than 5 years of service. On the other hand, there was sufficient evidence to prove that part list of mayors were associated with the prevalence of have a low or high IMR and MMR. It was recommended for future studies to increase the sample size to make the study more statistically significant and prevent systematic errors. Also, this kind of study was recommended to provide sufficient data on the political factors that can affect the health outcomes of the community.

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