The objective of this study is to understand the relationships between prepregnancy obesity and excessive gestational weight gain (GWG) and adverse maternal and fetal outcomes. Pregnancy risk assessment monitoring system (PRAMS) data from Maine for 2000-2010 were used to determine associations between demographic, socioeconomic, and health behavioral variables and maternal and infant outcomes. Multivariate logistic regression analysis was performed on the independent variables of age, race, smoking, previous live births, marital status, education, BMI, income, rurality, alcohol use, and GWG.
View Article and Find Full Text PDFRural Remote Health
October 2016
Introduction: Rural residents may face health challenges related to geographic barriers to care, physician shortages, poverty, lower educational attainment, and other demographic factors. In maternal and child health, these disparities may be evidenced by the health risks and behaviors of new mothers, the health of infants born to these mothers, and the care received by both mothers and infants.
Methods: To determine the impact of rurality on maternal and child health in Maine, USA, 11 years of data (2000-2010) for the state of Maine from the Pregnancy Risk Assessment Monitoring System (PRAMS) project were analyzed.
The objective of this study is to understand health and demographic trends among mothers and infants in Maine relative to the goals of Healthy People 2020. Pregnancy risk assessment monitoring system (PRAMS) data from Maine for 2000-2010 were used to determine yearly values of pregnancy-related variables. Means (for continuous variables) and percentages (for categorical variables) were calculated using the survey procedures in SAS.
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