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Propensity-score matched models further adjusted (age, gender, dose; Adjusted 1) and fully adjusted (steroids, enalaPropensity-score matchedsemodelssulfurtherine, adjustedsurgery procedures ageed; Adjusted 2) yielded IRRs of 0.78 (0.42–1.46) and 0.76 (0.41–1.43), respectively (Table 3).
Subsequent models further adjusted for smoking status and serum cotinine.
Results were similar in models further adjusted for socioeconomic status (Table 3).
Lead models further adjusted for maternal cigarette smoking and sampling season.
Mercury and cadmium models further adjusted for maternal fish consumption and cigarette smoking, respectively.
Additional models further adjusted for household income, physical activity, alcohol consumption, percent body fat, blood lead, and serum selenium.
Similar(43)
Only marginal changes in risk estimates were observed in models further adjusting for different biomarkers.
The relationships between each SES variable and each dietary outcome were similar in additional models further adjusting for financial hardships (FH) (model B).
In models further adjusting for waist circumference, birth weight and CWG birth 48 months were inversely associated with fasting glucose and/or IFG/DM; whereas CWG 24 48 months was not associated.
A final model further adjusted for the impact of victimisation.
The third, considered our primary model, further adjusted for fasting glucose, HDL-C, and triglyceride.
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