Constructing Normalcy and Discrepancy Indexes for Birth Weight and Gestational Age Using a Threshold Regression Mixture Model

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Constructing normalcy and discrepancy indexes for birth weight and gestational age using a threshold regression mixture model.

Birth weight and gestational age are important measures of a newborn's intrinsic health, serving both as outcome measures and explanatory variables in health studies. The measures are highly correlated but occasionally inconsistent. We anticipate that health researchers and other scientists would be helped by summary indexes of birth weight and gestational age that give more precise indications...

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Relationship of Gestational Weight Gain with Cesarean Delivery Risk, Perinatal Birth Weight, and Gestational Age in Overweight and Obese Women

Background: Gestational weight gain (GWG) is an important issue for all pregnant women due to its effect on pregnancy outcomes. Regarding this, the aim of the present study was to assess the relationship of GWG with cesarean section, birth weight, and gestational age at birth in the women with a pre-pregnancy body mass index (BMI) of ≥ 25 kg/m2. Methods: This cross-sectional study was conducte...

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Implausible birth weight for gestational age.

Various rules have been proposed to identify and exclude live births with implausible values of birth weight for gestational age from large perinatal data sets. The authors carried out a preliminary evaluation of common rules by examining the frequency and nature of rule-based exclusions among live births in Canada (excluding Ontario) between 1992 and 1994. There were 625 (0.09%), 133 (0.02%), ...

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Evaluating The Impact of Risk Factors on Birth Weight and Gestational Age: A Multilevel Joint Modeling Approach

Objective Abnormalities in birth weight and gestational age cause several adverse maternal and infant outcomes. Our study aims to determine the potential factors that affect birth weight and gestational age, and their association. MaterialsAndMethods We conducted this cross-sectional study of 4415 pregnant women in Tehran, Iran, from July 6-21, 2015. Joint multilevel multiple logistic regressio...

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ژورنال

عنوان ژورنال: Biometrics

سال: 2011

ISSN: 0006-341X

DOI: 10.1111/j.1541-0420.2011.01648.x