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Of the 1,079 DPP participants originally randomized to intensive lifestyle, 63 were excluded due to less than 2 years of total participation and another 16 were excluded due to missing measurements, leaving 1,000 participants in the current analysis (93% of the total lifestyle cohort).
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Completely missing measurements will be handled using multiple imputation.
We excluded women with missing data on breast-feeding behaviour (n = 17), missing data on oral contraceptive use, implausible energy intake (<3,349 or >25,121 kJ/day) and prevalent diabetes including gestational diabetes mellitus (GDM), as well as women with missing data on BMI at the age of 25 years and missing biomarker measurements, leaving 1,059 women for analysis in the sub-cohort.
Of the remaining 1,132 women, 21 had missing perchlorate measurements, leaving a sample size of 1,111 women.
Those with IL-6 values below the lower limit of detection or with missing measurements were excluded, leaving 164 patients for analysis.
Of these, we excluded participants who were missing measurements of blood lead, blood pressure, components of AL, any model covariates or who were currently pregnant (N = 1724), leaving a total of 8194 eligible participants for our analyses.
Only 25 days have missing measurements.
The missing measurements are considered the finite-time framework.
Three subjects were missing measurements of SPMA.
25 26 This method is not sensitive to missing measurements.
We impute missing measurements using the K-nearest neighbors approach.
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