Exact(5)
The maternal factors related to prenatal use of indoor insecticides were parity, country of birth, educational level, region of residence, having a garden or yard with plants, and living near an agricultural area.
The following general data were collected: age, sex, parity, country of origin, previous UTI, previous history of pyelonephritis, previous stone disease.
For model 2 we considered potential confounding by maternal race/ethnicity, age, parity, country of birth, BMI, triglycerides, total cholesterol, preeclampsia, and gestational weight gain.
(C i,…, C P i) is the subset of the covariates considered for the ith fetus: maternal and paternal height, maternal and paternal weight or body mass index (BMI), maternal age, parity, country of origin, and fetal sex.
The initial model included parity, country of origin (Germany or others), maternal age, pre-pregnancy weight, weight gain, marital status (single, married, widowed, divorced) as well as the mother's employment status (employed or unemployed).
Similar(55)
During the analyses, adjustments were made for: maternal educational attainment, age, single motherhood, parity, maternal country of birth, and child's gender.
This may be attributable to the strong correlation between parity and country of origin.
There were no differences in the educational levels of the mothers or the fathers, in parity or country of origin.
In our study there was a strong correlation between parity and country of origin (distribution percentage for parity: in the Swedish population, parity 1, 51%; parity 2, 34%; parity ≥ 3, 16%; for any other country group within Sweden, 26%, 23%, and 51%, respectively).
10 We analysed and adjusted for several maternal factors known to affect pregnancy and vascular disease outcome such as age, calendar year of delivery, body mass index, parity, smoking, country of birth, marital status, and education.
This puzzling observation reflects a general phenomenon that is also seen when birth weight- and gestational age-specific perinatal mortality curves are contrasted across race, plurality, maternal smoking status, parity, altitude, country, and other determinants of birth weight and gestational age [ 2- 14].
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