In a nested case-control study using food diaries, Dahm et al. (2010) discovered that intakes of absolute fiber and fiber intake density were significantly inversely associated with the risk of colorectal cancer in both age-adjusted models and multivariable models that adjusted for age, anthropomorphic and socioeconomic factors, and dietary intakes of folate, alcohol, and energy.
To that end, we developed a series of analyses that modelled one variable at the time followed by a set of combined models that adjusted for age and income.
In multilevel, multivariable models that adjusted for the clustering of rear occupants traveling in the same vehicles, rear passenger restraint use was associated with a 67% reduction in total mortality (Table 3).
Even models that adjusted deposition estimates based on deposition measurements to reduce bias or that spatially-interpolated measurement data, had bias that approached or exceeded critical loads at some locations.
Lastly, those who reported that their Latino peers do not find smoking acceptable were significantly less likely to be current smokers compared to those who said their Latino peers were ambivalent about smoking (do not care either way) in crude models, and in models that adjusted for age, sex, generational status, language spoken, and SEP.
In our models that adjusted for the propensity score or for other covariates we created dummy variables for missing race, obesity status, and income to minimize the number of observations that needed to be removed for missing data.
Five laboratory test results: albumin, sodium, blood urea, uric acid and WBC were significantly related to 30-day and one-year mortality, as a group and individually, in unadjusted models as well as in models that adjusted for baseline clinical and demographic characteristics and for baseline medications.
These results remained relatively unchanged in models that adjusted for gestational week at enrollment and fish categories.
These were lessened in models that adjusted for metals as well, but this could reflect some overadjustment.
The dose response coefficients were derived from well-documented regression models that adjusted for age, maternal education, and other important factors.
We assessed HIV infection's independent association with HOMA by forward stepwise selection in multivariable linear regression models that adjusted for age, BMI and WHR (table 3).
