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Confounding was investigated by comparing the magnitude of the estimates from age-adjusted and further adjusted models.
In further adjusted models, we tested the robustness of these associations, also accounting for waist and arm circumferences, and we performed Sobel-Goodman mediation tests [7] to quantify the percentage of the total effect of dementia severity that was mediated by these anthropometric measures.
After matching, IRR analyses comparing MMX mesalazine to comparators were conducted without further adjustment (i.e., propensity-score matched only) and also using two further adjusted models (to control for propensity-score matchednding).
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We also further adjusted model 3 for weight change between the baseline and follow-up postal questionnaire in 2004.
When we further adjusted Model 3 for HDL-cholesterol and use of antihypertensive drugs, the association between change in HbA1c and CVD events was attenuated (HR 1.06; 95% CI 0.97, 1.15).
For ages 6, 24, and 36 months, multiple regression models of each BSID II cluster, MDI, PDI, and BRS were adjusted for maternal age, maternal education, log-transformed income, parity, maternal BMI, birth weight, concurrent age at BSID assessment, infant weight, and HOME score (Model 1) and log As levels was further adjusted (Model 2).
Model #4, further adjusts model #3 by adding two additional control variables: BMI and physical activity.
Finally, a fourth model is added where we further adjust model #3 for BMI and physical activity.
Further, estimates of effect generally increased when temporally adjusted models further accounted for mobility.
In sensitivity analyses, we further adjusted all models by misreporting of energy intake.
We further adjusted our models to obesity and the results did not change significantly following all those adjustments.
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