• DocumentCode
    3258018
  • Title

    The Impact of Body Mass Index on Low Birth Weight

  • Author

    Abdollahian, Mehrnaz

  • Author_Institution
    Sch. of Math. & Geospatial Sci., RMIT Univ., Melbourne, VIC, Australia
  • fYear
    2013
  • fDate
    15-17 April 2013
  • Firstpage
    567
  • Lastpage
    572
  • Abstract
    It is well-documented that low birth weight (LBW) is the most significant factor influencing Neonatal mortality rate (NMR). Over recent decades, accumulating evidence around the world has suggested that LBW may be associated with an increased risk of subsequent development of a variety of complications in adulthood including cardiovascular disease, non-insulin-dependent diabetes mellitus, hypertension, and dyslipidemia. Neonatal birth weight is determined by several criteria such as, maternal age, pre-pregnancy Body Mass Index (BMI), gestation age and neonatal gender. This paper deploys regression analysis to explore the effect of pre-pregnancy BMI and other characteristics on the weight of low birth weight babies. The results indicate that the inclusion of the BMI in the regression model can improve the coefficient of the determination significantly.
  • Keywords
    cardiovascular system; diseases; gender issues; paediatrics; regression analysis; LBW; NMR; adulthood; cardiovascular disease; dyslipidemia; gestation age; hypertension; low birth weight babies; maternal age; neonatal birth weight; neonatal gender; neonatal mortality rate; noninsulin-dependent diabetes mellitus; prepregnancy BMI; prepregnancy body mass index; regression analysis; regression model; weight characteristics; Data models; Gaussian distribution; Indexes; Pediatrics; Predictive models; Pregnancy; Time series analysis; Body Mass Index multivariate normal distribution; Normality test; simulation and multi-regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations (ITNG), 2013 Tenth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-0-7695-4967-5
  • Type

    conf

  • DOI
    10.1109/ITNG.2013.71
  • Filename
    6614366