Poster Topical Area: Nutritional Epidemiology
Location: Hall D
Poster Board Number: 753
Objectives: To build a multisite de-identified database of female adolescents, aged 12-21 years, and their subsequent offspring through 24 months of age from electronic health records (EHRs). To test the following hypotheses: 1) Obese adolescents will exhibit poorer health status and pregnancy outcomes when compared to non-obese adolescents; 2) Babies born to obese adolescents exhibit worse outcomes when compared to babies born to non-obese adolescents.
Methods: We created a community-academic partnership that included New York City Community Health Centers (n=4) and Hospitals (n=4), The Rockefeller University, The Sackler Institute for Nutrition Science and Clinical Directors Network (CDN). We used the Community-Engaged Research Navigation model to establish a multisite de-identified database extracted from electronic health records (EHRs) of female adolescents aged 12-21 years (January 2011 – December 2012) and their offspring through 24 months of age. These patients received their primary care between 2011 and 2015.
Results: The analysis included all female adolescents (n=122,556) and a subset of pregnant adolescents with offspring data available (n=2,917).Patients were mostly from the Bronx; 43% of all adolescent females were overweight (22%) or obese (21%) and showed higher systolic and diastolic blood pressure, blood glucose levels, hemoglobin A1c, total cholesterol, and triglycerides levels compared to normal-weight adolescent females (p<0.05). This analysis was also performed looking at the non-pregnant females and the pregnant females separately. There was a statistically significant association between the BMI status of mothers and infants' birth weight, with underweight/normal-weight mothers having more low birth weight (LBW) babies and overweight/obese mothers having more large babies.
Conclusion: This EHR database uses available measures from routine clinical care as a "rapid assay" to explore potential associations, and may be useful to detect the presence and direction of associations. This partnership has engaged community clinicians, laboratory and clinical investigators, and funders in study design and analysis, as demonstrated by the collaborative development and testing of hypotheses relevant to service delivery.
New York Academy of Sciences
New York, New York