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Logistic regression models were created where maternal ethnicity, age, household structure and income, education, child parity and area deprivation predicted the likelihood of children being cared for by centre, extended family, nanny or home-based care; and the likelihood of having four or more changes in care from birth to 2 years (see Table 3).
The other variables considered were gender of the child, parity, season of birth.
These factors were maternal age at parturition, smoking during pregnancy, sex of the child, parity, vaccination, reviewer of the medical chart, and gestational age.
Sex of the child, parity, anthropometric parameters of the child, and maternal history of pregnancy and delivery were also registered from medical records of the newborn and mother.
The neighborhood SES variable is also a modest predictor of preterm birth, both crudely and after adjustment for maternal age, sex of child, parity and maternal education.
For each child born, the following data were extracted from the MBRN: date of birth of mother and child, parity, present region of residence, exposure to ART, the specific method of ART.
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Table 6 presents providers' self-reported restriction to family planning based on a woman's number of children (parity).
Daniels et al. showed that the significantly lower average number of pregnancies and children (parity), total years breastfeeding, and higher alcohol consumption in non-LDS women were primarily in less religiously active women and those with no religious preference [ 7].
The lower rates among LDS women were likely primarily explained by their having significantly higher average number of pregnancies and children (parity), total years breastfeeding, and lower alcohol consumption [ 7, 13].
Demographic information collected at week 17 included maternal age, marital status (married or cohabitating versus single/widowed/divorced), number of previous children (parity), and level of education (elementary school, completed high school, or higher education).
Changes in reproductive behaviors during the time period of PCB emissions, including changes in average numbers of children (parity), maternal age at birth, and breast-feeding versus not breast-feeding, may further enhance or reduce IGDE.
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