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Mode of delivery, infant birthweight, number of prenatal care visits and socio-demographic characteristics of the participants (Table 1) were also recorded.
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Our primary aim was to assess the association between low birthweight and number of stressful life events and social health issues and consider potential implications for the care of women during pregnancy.
Mr. Ratha discovered two more aspects: By cutting out institutions and (often corrupt) governments, remittances more nimbly addressed needs like raising birthweight or lowering number of school drop-outs.
The US study also found that birthweight increased with number of weeks of pregnancy in prison [ 11].
Other factors are known to have a significant effect on birthweight and a number of customised charts have been developed in recent years.
We propose estimating birthweight-specific mortality within each component of a normal mixture model representing a birthweight distribution, the number of components having been determined from the data rather than fixed a priori.
In order to obtain a more precise estimate of the association between low birthweight and the number of stressful life events and social health issues, we developed the four models shown in Table 5. Maternal smoking status was fitted in all models for a priori reasons based on the known aetiological relationship between maternal smoking and infant birthweight.
The present paper, the second in a two-part series, develops a new and flexible approach to modeling fetal-infant mortality through the estimation of separate birthweight-specific mortality curves within each component of a normal mixture model describing a birthweight distribution, the number of components having been determined from the data rather than fixed a priori.
Considerable differences concerning obstetric risk factors, e.g. preterm birth, low birthweight as well as number and timing of antenatal care visits, could not be observed.
The number of birthweights omitted as possible outliers was small and inspection of the omitted birthweights suggests that most of these could be explained by transcription errors.
Assisted reproductive technology has been reported to account for a disproportionate higher number of low birthweight infants, even in singleton births.
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