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182297 Factors affecting achievement of ideal weight gain during pregnancy -- Preliminary findings from 2007 Los Angeles Mommy and Baby (LAMB) ProjectWednesday, October 29, 2008
Objective: Appropriate weight gain during pregnancy can improve birth outcomes. We examined risk factors and racial disparity associated with gaining ideal weight according to the 1990 Institute of Medicine (IOM) recommendations.
Methods: LAMB is a biennial, population-based survey modeled after the Pregnancy Risk Assessment Monitoring System. IOM weight gain recommendation ranges from 15 to 40 lbs according to four body mass index (BMI) categories. Racial disparity in weight gain outside recommended ranges was examined using chi-square test. Logistic regression was used to examine the relationship between prepregnancy BMI, medical advice on weight gain, and ideal weight gain, adjusting for race, age, education level and marital status. Results: Preliminary data from the project are presented here. Among the 721 women who completed the survey, about one-third of the mothers achieved ideal weight gain, 40% of mothers had excessive weight gain, and 25% of mothers gained too little. Gaining excessive weight was more prevalent among White (45%, p<.05) and African American (47%, p<0.05) mothers, and mothers who are overweight and obese (50%, p<.05). Mothers who did not receive medical recommendations (OR=1.7, CI=1.1,2.6), or said to receive recommendations that were not ideal (OR=2.3, CI=1.5,3.8) were more likely to fall outside recommended range. Conclusion: Only one in three women surveyed adhered to the ideal weight gain recommendations, and compliance varied among racial/ethnic populations. Efforts need to be made to include accurate weight gain recommendations in prenatal care visits, particularly for mothers with high body mass index.
Learning Objectives: Keywords: Prenatal Care, Health Disparities
Presenting author's disclosure statement:
Not Answered
See more of: Improving pregnancy outcomes Poster Session 2: Public Health without Borders
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