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Obesity01:24

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in adipocytes...
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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
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Risk factors and obstetric complications associated with macrosomia.

N E Stotland1, A B Caughey, E M Breed

  • 1Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, CA, USA.

International Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics
|November 19, 2004
PubMed
Summary

Macrosomia, or excessively large babies, is linked to negative maternal health outcomes. This study identified risk factors and complications, highlighting the need for prevention strategies for high birth weight.

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Area of Science:

  • Obstetrics and Gynecology
  • Perinatal Epidemiology
  • Maternal Health

Background:

  • Macrosomia is a significant concern in obstetrics.
  • It is associated with increased risks for both mother and infant.
  • Understanding its epidemiology is crucial for clinical management.

Purpose of the Study:

  • To investigate the epidemiology of macrosomia.
  • To identify risk factors associated with macrosomia.
  • To characterize maternal complications linked to macrosomia.

Main Methods:

  • Analysis of 146,526 live births from 1995-1999.
  • Utilized Kaiser Permanente Medical Care Program's Northern California Region database.
  • Employed bivariate and multivariate statistical analyses.

Main Results:

  • Risk factors for macrosomia included male infant sex, multiparity, maternal age 30-40, white race, diabetes, and gestational age >41 weeks.
  • Macrosomia correlated with increased rates of cesarean birth, chorioamnionitis, shoulder dystocia, severe perineal lacerations, postpartum hemorrhage, and prolonged hospitalization.
  • Statistical significance was observed for all identified associations (p<0.001 for risk factors, p<0.01 for complications).

Conclusions:

  • Macrosomia is definitively associated with adverse maternal outcomes.
  • Further research is warranted to develop effective prevention strategies for complications arising from excessive birth weight.
  • This study underscores the importance of monitoring and managing pregnancies at risk for macrosomia.