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Quantitative Data Analysis Of Multiple Factors Associated With Low Birth Weight In Bibb County, Georgia, Haley D. Jackson, Yudan Wei, Fan Chen Oct 2008

Quantitative Data Analysis Of Multiple Factors Associated With Low Birth Weight In Bibb County, Georgia, Haley D. Jackson, Yudan Wei, Fan Chen

Journal of the Georgia Public Health Association

Objective: This study aims to identify and evaluate significant risk factors associated with low birth weight in Bibb County, Georgia.

Methods: Data used in this study was obtained from the Georgia Department of Human Resources’ Vital Records Offices. The sample consists of 2,346 white and black or African American women giving birth in Bibb County, Georgia in 2005. Logistic regression was used to analyze the risk factors associated with low birthweight in Bibb County, Georgia. The multiple factors analyzed as independent variables included maternal race, maternal education, maternal age group, socioeconomic status, marital status, maternal tobacco use during pregnancy, maternal …


Social, Economic And Health Costs Of Unintended Teen Pregnancy: The Circle Of Care Intervention Program In Troup County, Georgia, Andrea M. Brace, Michael Hall, Barry P. Hunt Oct 2008

Social, Economic And Health Costs Of Unintended Teen Pregnancy: The Circle Of Care Intervention Program In Troup County, Georgia, Andrea M. Brace, Michael Hall, Barry P. Hunt

Journal of the Georgia Public Health Association

Unintended teenage pregnancy in the United States is a public health concern with ramifications that include a variety of social, economic and health costs. It has been estimated that adolescents giving birth before the age of 18 cost the United States at least $9.1 billion dollars annually (NCPTUP, 2008). Latest available national data indicate a slight increase in rates of unintended teen pregnancy after a 15 year period of steady decline. The unintended teen pregnancy rate in Troup County, Georgia in 2006 was 51.9/1,000 which was higher than the national average of 41.9/1,000(Kids Count, 2008). The purpose of this study …


Assessing The Validity Of Statistical Inferences In Public Health Research: An Evidence-Based, ‘Best-Practices’ Approach, Karl E. Peace, Anthony V. Parrillo, Charles J. Hardy Oct 2008

Assessing The Validity Of Statistical Inferences In Public Health Research: An Evidence-Based, ‘Best-Practices’ Approach, Karl E. Peace, Anthony V. Parrillo, Charles J. Hardy

Journal of the Georgia Public Health Association

Like many fields, public health has embraced the process of evidence-based practice to inform practice decisions and to guide policy development. Evidence-based practice is typically dependent upon generalizations made on the bases of the existing body of knowledge – assimilations of the research literature on a particular topic. The potential utility of scientific evidence for guiding policy and practice decisions is grounded in the validity of the research investigations upon which such decisions are made. However, the validity of inferences made from the extant public health research literature requires more than ascertaining the validity of the statistical methods alone; for …


Impact Of Chlamydia And Gonorrhea In Georgia: An Urban / Rural Comparison (2000-2004), Swati Raychowdhury, Stuart H. Tedders, Sarah K. Jones Oct 2008

Impact Of Chlamydia And Gonorrhea In Georgia: An Urban / Rural Comparison (2000-2004), Swati Raychowdhury, Stuart H. Tedders, Sarah K. Jones

Journal of the Georgia Public Health Association

Background: In 2005, 33,562 cases of chlamydia and 15,860 cases of gonorrhea were reported in the State of Georgia, respectively corresponding to 3.4% and 4.7% of all cases reported nationally (CDC, 2005). Disparities of infection with respect to race and gender are evident for both diseases. The objective of this study was to determine the magnitude of chlamydia and gonorrhea in rural Georgia compared to urban areas of the state.

Methods: County level data necessary for analysis were acquired using the Georgia Division of Public Health’s Online Analytical Statistical Information System database (GDHR, 2007). Rates of infection by gender and …