Analyses were performed using Statistical Analysis
Software 9.1. Estradiol levels on the day of human
chorionic gonadotropin administration were expressed
as multivariable adjusted means with 95%
confidence intervals (CIs) calculated using the least
squares method. Multivariable adjusted Poisson regression
was used to calculate the expected mean
number of oocytes and embryos with 95% CI. Poisson
regression was also used to examine the relation
between BMI and markers of embryo morphology
while adjusting for potential confounders. Multivariable-
adjusted logistic regression models were used to
estimate the association between BMI and dichotomous
clinical outcomes such as failed fertilization,
clinical pregnancy, and live birth. Results of the
logistic regression analyses were expressed as adjusted
odds ratios (ORs) with 95% CI using normalweight
women as the referent. To test for linear trend,
models were run using an ordinal exposure, defined
as the median BMI in each category.21 Effect modification
was evaluated by comparing the likelihood
ratios for the model with both main effects and
interaction terms to the model with main effects only.
All P values were two-sided, and statistical significance
was defined as P.05. Graphs were produced
using restricted cubic regression splines with knots specified
at BMI cut points of 18.5, 24.9, 29.9, and 34.9.22,23
Analyses were performed using Statistical AnalysisSoftware 9.1. Estradiol levels on the day of humanchorionic gonadotropin administration were expressedas multivariable adjusted means with 95%confidence intervals (CIs) calculated using the leastsquares method. Multivariable adjusted Poisson regressionwas used to calculate the expected meannumber of oocytes and embryos with 95% CI. Poissonregression was also used to examine the relationbetween BMI and markers of embryo morphologywhile adjusting for potential confounders. Multivariable-adjusted logistic regression models were used toestimate the association between BMI and dichotomousclinical outcomes such as failed fertilization,clinical pregnancy, and live birth. Results of thelogistic regression analyses were expressed as adjustedodds ratios (ORs) with 95% CI using normalweightwomen as the referent. To test for linear trend,models were run using an ordinal exposure, definedas the median BMI in each category.21 Effect modificationwas evaluated by comparing the likelihoodratios for the model with both main effects andinteraction terms to the model with main effects only.All P values were two-sided, and statistical significancewas defined as P.05. Graphs were producedusing restricted cubic regression splines with knots specifiedat BMI cut points of 18.5, 24.9, 29.9, and 34.9.22,23
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Analyses were performed using Statistical Analysis
Software 9.1. Estradiol levels on the day of human
chorionic gonadotropin administration were expressed
as multivariable adjusted means with 95%
confidence intervals (CIs) calculated using the least
squares method. Multivariable adjusted Poisson regression
was used to calculate the expected mean
number of oocytes and embryos with 95% CI. Poisson
regression was also used to examine the relation
between BMI and markers of embryo morphology
while adjusting for potential confounders. Multivariable-
adjusted logistic regression models were used to
estimate the association between BMI and dichotomous
clinical outcomes such as failed fertilization,
clinical pregnancy, and live birth. Results of the
logistic regression analyses were expressed as adjusted
odds ratios (ORs) with 95% CI using normalweight
women as the referent. To test for linear trend,
models were run using an ordinal exposure, defined
as the median BMI in each category.21 Effect modification
was evaluated by comparing the likelihood
ratios for the model with both main effects and
interaction terms to the model with main effects only.
All P values were two-sided, and statistical significance
was defined as P.05. Graphs were produced
using restricted cubic regression splines with knots specified
at BMI cut points of 18.5, 24.9, 29.9, and 34.9.22,23
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