However if disease severity were the main predictor of both respiratory failure and readmission we would have expected this difference to reduce more markedly when adjusted for FEV1.
In the UK GPRD, T1DM was associated with a markedly increased adjusted HR for major CHD events compared with the general population during 4.7 years of follow-up in both men (adjusted HR, 3.6; 95% confidence interval [CI], 2.8 4.6) and women (adjusted HR, 9.6; 95% CI, 6.4 14.5) (8), similar to the RR of CHD associated with T2DM.
These relations remained highly significant, but were slightly diluted after controlling for a wide range of potential confounders associated with body adiposity, most markedly when adjusted for genetic and lifestyle confounders, and all dietary factors or individual food items that are associated with TV viewing.
These associations were not altered markedly after adjusting for potential confounders.
Compared to changes in wealth coefficients, education coefficients changed more markedly when adjusting for both education and wealth.
Some studies have found higher sickness absence from MSD among women except the diagnosis of low back pain [ 31, 32], but the gender differences decreased markedly after adjusting for sociodemographic factors, job characteristics and income [ 10].
In the unadjusted regression analysis, essentially all quintiles of U-As at 18 months were significantly inversely associated with concurrent and subsequent attained weights, but these associations decreased markedly after adjusting for child sex and maternal BMI and SES (Table 6).
However, our regression coefficients did not change markedly when we adjusted for these variables.
Furthermore, relative risks from occupational exposure were underestimated and were markedly increased when adjusted for residential distance.
In contrast to vitamin C and the carotenoids, vitamin A and E showed no strong association with markers of adult or childhood socioeconomic position, and this did not markedly change in fully adjusted models.
The unadjusted model did not differ markedly from a model adjusted for possible non-independent confounding factors such as living conditions, parental unemployment, ethnicity, socioeconomic status, BMI, and exercise habits.
