Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Aggregate level association between prenatal care and infant mortality rate

Huang, Yongxu (2012) Aggregate level association between prenatal care and infant mortality rate. Master Essay, University of Pittsburgh.

[img] Microsoft Word
Available under License : See the attached license file.

Download (4MB)
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Objectives: The objectives of this study include understanding the association between adequate prenatal care and the infant mortality rate (IMR) at the aggregate level and studying the effects of other factors, such as race and income, on the association. Methodology: IMR and the rate of pregnant women who receive prenatal care during the first trimester (PNC) were examined. Annual state-level aggregate data from 1997 to 2005 were extracted. Covariance of IMR and PNC was calculated. Scatterplots of IMR versus PNC were drawn. Two-variable and multivariable regressions were used to study the effects of several factors, including PNC on IMR. Results: Substantial differences were observed in IMR and PNC across states within the US. An insignificant inverse association between PNC and IMR was observed at the aggregate level for data from 1997 to 2005. Significant inverse associations were observed between IMR and the percentage of Non-Hispanic White population, the percentage of Hispanic population, and income level. Conclusions: Differences in IMR and PNC across states were observed. PNC has a modest effect on reducing IMR. Race and income level may have more significant impacts on IMR. Public health relevance: High infant mortality leads to high social and economic costs. Previous studies suggested that inadequate prenatal care is associated with adverse birth outcomes, such as preterm birth and infant mortality. It is possible that ensuring the availability of early prenatal care during the first trimesters could help reduce IMR. In addition, reducing health disparities between different racial and income groups could help reduce the IMR in the US.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Other Thesis, Dissertation, or Long Paper (Master Essay)
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Huang, Yongxuyoh18@pitt.eduYOH18
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
Committee ChairRoberts, Mark Smroberts@pitt.eduMROBERTSUNSPECIFIED
Committee MemberTerry, Martha Amaterry@pitt.eduMATERRYUNSPECIFIED
Committee MemberDriessen, Juliadriessen@pitt.eduDRIESSENUNSPECIFIED
Date: December 2012
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Publisher: University of Pittsburgh
Institution: University of Pittsburgh
Schools and Programs: School of Public Health > Health Policy & Management
Degree: MPH - Master of Public Health
Thesis Type: Master Essay
Refereed: No
Date Deposited: 08 Feb 2013 14:31
Last Modified: 01 Sep 2023 10:55
URI: http://d-scholarship.pitt.edu/id/eprint/16991

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item