Givi, Jerome
(2019)
Factors impacting local obesity rates in Pennsylvania.
Master Essay, University of Pittsburgh.
Abstract
County-level data related to health is critically important for local and state public health departments. This information enables public health professionals to gain a better understanding of the health problems in their county and how they differ from and are like surrounding counties. County-level health-related data enables trends in health outcomes to be observed and enables professionals to elucidate the upstream factors that are related to and may contribute to those outcomes. Once problems are found and their causes are identified, interventions that specifically fit the needs of individual counties can be implemented to resolve those issues.
The Pennsylvania Department of Health (PADOH) has compiled health-related data and integrated them into an Enterprise Data Dissemination Informatics Exchange (EDDIE) tool. This publicly available interactive web tool enables users to organize county-level health-related data so that relationships between these factors can be elucidated. Using this tool, along with other publicly available data sources, I have investigated the relationship between local health-related factors and obesity rates in Pennsylvania counties and created a predictive model using multivariate linear regression (adjusted R2=0.5753) that predicts county obesity rate. The results of my research may aid local public health officials in developing interventions aimed at decreasing obesity rates in the state.
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Details
Item Type: |
Other Thesis, Dissertation, or Long Paper
(Master Essay)
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Status: |
Unpublished |
Creators/Authors: |
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Contributors: |
Contribution | Contributors Name | Email | Pitt Username | ORCID  |
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Committee Chair | Kammerer, Candace | cmk3@pitt.edu | cmk3 | UNSPECIFIED | Committee Member | Van Nostrand, Elizabeth | evannostrand@pitt.edu | evannostrand | UNSPECIFIED |
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Date: |
17 April 2019 |
Date Type: |
Submission |
Number of Pages: |
41 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Public Health > Human Genetics |
Degree: |
MPH - Master of Public Health |
Thesis Type: |
Master Essay |
Refereed: |
Yes |
Date Deposited: |
15 Oct 2019 16:36 |
Last Modified: |
15 Oct 2019 16:43 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/36265 |
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