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- All Subjects: Physiology
- Creators: Lee, Chong
2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers, but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.
Methods: This study used an observational design to explore the relationships and characterize responses to the Mindfulness Eating Questionnaire (MEQ) in 75 overweight women (BMI > 25) who self-reported a history of weight cycling using a weight cycling index (WCI). The participants were divided into three groups: non-cyclers (NC) less than three cycles of 10 lbs; moderate cyclers (MC) at least three weight cycles of 10lbs; and severe cyclers (SC) at least three weight cycles of at least 20lbs. Results: NC were significantly (p < 0.05) younger and had lower BMI than the MC and SC groups. There were no significant differences in any of the MEQ subscores based on WCI groups. There were no significant relationships between WCI and any of the MEQ subscores. Conclusion: The Mindful Eating Questionnaire (MEQ), was an insufficient discriminatory measure for use in an observational study on a complex behavior such as weight cycling. Further research to understand eating behavior domains, mindful awareness skills, and risk of weight cycling is needed.