Abstract
Session presented on Monday, November 9, 2015 and Tuesday, November 10, 2015:
Gestational Diabetes (GD) is a serious condition that affects approximately 9% of pregnancies and is characterized by an insufficient response of blood glucose to the actions of insulin. In early pregnancy, GD can result in birth defects, over-nutrition, and large babies that increase risks of childbirth. The offspring are more likely to develop obesity and diabetes within their lifetimes. The risks of these disorders perpetuate a transgenerational cycle of obesity and diabetes, underscoring the need for effective interventions that reduce maternal obesity and GD. The current standard of care involves testing for GD during month six of pregnancy, however earlier prediction of GD could lead to earlier lifestyle intervention and a better outcome for both mother and baby. Obesity and inactivity are major modifiable risk factors for GD. It is unknown which of these risk factors is most predictive of insulin resistance during pregnancy. This interdisciplinary study involving nursing and exercise science examines which early measures of obesity and inactivity can serve as early clinical predictors of gestational insulin resistance or GD. First time pregnant women, aged 18 to 34, are recruited during their first prenatal visit. Participants receive body composition measurements in the exercise science laboratory and complete a physical activity questionnaire. Participants also wear an accelerometer to collect motion data. At 24-28 weeks, fasting plasma glucose and insulin levels are collected to compute the homeostasis model assessment of insulin resistance (HOMA-IR). Preliminary data on the impact of early measures of obesity and inactivity on gestational insulin resistance and GD in primigravida women will be presented. Predicting GD early in pregnancy will provide healthcare workers an opportunity to intervene in order to prevent or delay the onset of this disease. The goal of this collaborative project is to create a predictive model for early identification and prevention of GD.
Sigma Membership
Mu Phi at-Large
Type
Poster
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Gestational Diabetes, Obesity, Inactivity in Pregnant Women
Recommended Citation
Amason, Janeen S.; Shabo, Rebecca L.; and Ingram, Katherine H., "An interdisciplinary study to examine obesity and inactivity as early predictors of gestational diabetes" (2016). Convention. 141.
https://www.sigmarepository.org/convention/2015/posters_2015/141
Conference Name
43rd Biennial Convention
Conference Host
Sigma Theta Tau International
Conference Location
Las Vegas, Nevada, USA
Conference Year
2015
Rights Holder
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Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
An interdisciplinary study to examine obesity and inactivity as early predictors of gestational diabetes
Las Vegas, Nevada, USA
Session presented on Monday, November 9, 2015 and Tuesday, November 10, 2015:
Gestational Diabetes (GD) is a serious condition that affects approximately 9% of pregnancies and is characterized by an insufficient response of blood glucose to the actions of insulin. In early pregnancy, GD can result in birth defects, over-nutrition, and large babies that increase risks of childbirth. The offspring are more likely to develop obesity and diabetes within their lifetimes. The risks of these disorders perpetuate a transgenerational cycle of obesity and diabetes, underscoring the need for effective interventions that reduce maternal obesity and GD. The current standard of care involves testing for GD during month six of pregnancy, however earlier prediction of GD could lead to earlier lifestyle intervention and a better outcome for both mother and baby. Obesity and inactivity are major modifiable risk factors for GD. It is unknown which of these risk factors is most predictive of insulin resistance during pregnancy. This interdisciplinary study involving nursing and exercise science examines which early measures of obesity and inactivity can serve as early clinical predictors of gestational insulin resistance or GD. First time pregnant women, aged 18 to 34, are recruited during their first prenatal visit. Participants receive body composition measurements in the exercise science laboratory and complete a physical activity questionnaire. Participants also wear an accelerometer to collect motion data. At 24-28 weeks, fasting plasma glucose and insulin levels are collected to compute the homeostasis model assessment of insulin resistance (HOMA-IR). Preliminary data on the impact of early measures of obesity and inactivity on gestational insulin resistance and GD in primigravida women will be presented. Predicting GD early in pregnancy will provide healthcare workers an opportunity to intervene in order to prevent or delay the onset of this disease. The goal of this collaborative project is to create a predictive model for early identification and prevention of GD.
Description
43rd Biennial Convention 2015 Theme: Serve Locally, Transform Regionally, Lead Globally.