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Conference Abstract Compendium Examples from the ... - CityMatCH

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2009 <strong>CityMatCH</strong> Urban MCH Leadership <strong>Conference</strong>Mean differences in low birth weight and prematurity was measured using ANOVA. Analysis of <strong>the</strong>dataset was performed using SPSS 13.0.RESULTSAmong <strong>the</strong> underweight women 14.2% had low birth weight babies, as compared to 10.1% for Normalweight women, 9.6% for overweight women, and 11.6% for obese women. There was no significantdifference in low birth weight outcomes between <strong>the</strong> normal and overweight women.Underweight and obese women had a statistically significant greater percentage of premature infants(15.5% and 16.8%) respectively as compared to normal weight women12.8% and overweight women13.4%.LIMITATIONSOne of <strong>the</strong> main limitations to this study is recall bias introduced through self-reported pre-pregnancyweight.CONCLUSIONS/IMPLICATIONSWomen, who were ei<strong>the</strong>r obese or underweight, had statistically significant higher percentages ofpremature and low birth weight infants as compared to women who were normal or overweight prior to<strong>the</strong>ir pregnancy. Most public health messages are geared towards encouraging women to lose weight, but<strong>the</strong>re should a concerted effort to encourage underweight women to achieve a healthy weight as well.86

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