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Secondary analyses examining potential effect modification by medication use were also conducted.
Medication use was controlled for in these models, with the exception of models examining effect modification by medication use.
We evaluated whether exposure misclassification, effect modification by medication, or differences in particle composition could explain the inconsistencies.
Similar effect modification by medication use and baseline pulmonary function was also found for EC but with smaller effect sizes.
Study limitations include the following: Despite the biological plausibility, effect modification by medication use could have been secondary to other unmeasured characteristics of subjects.
Effect modification by medication use thus seems to explain the lack of associations between PM2.5 and HRV in our previous analysis (Timonen et al. 2006).
Similar(52)
We used interaction terms to evaluate effect modification by prerandomization medication use, namely, diuretics, statins, glucose-lowering medications, and medications that block the RAAS (e.g., ACE inhibitors and angiotensin receptor blockers [ARBs]).
In secondary analyses, we used interaction terms to test for effect modification by sex, medication use, and self-reported comorbidities.
No evidence of effect modification by smoking, medication treatment, menopause, diabetes (results not shown), or Mediterranean diet [see Supplemental Material, Figure S3 (http://dx.doi.org/10.1289/ehp.1205146)] was observed.
In order to evaluate the potential risk modification by these medications with short- or long-term exposure, additional Cox regression models were created by categorizing the patients into various groups of exposure to insulin and to these medications for <2 years or ≥ 2 years.
There was little evidence of effect modification by any other medication group in the present study.
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