In models excluding the subjective burden variable, the objective burden variable intensity of care giving reached statistical significance (i.e. days per week for anticipated Pt and hours per week for realized Pt).
For this study, participants were asked whether they experienced any of 41 different somatic symptoms with the sum representing the "illness burden" variable in the analysis.
We performed a series of linear regressions to evaluate the association of our composite symptom burden variable with biomarker concentrations, controlling for BMI, race, chemotherapy status, NSAID use, and age.
Participants were asked to report any longstanding illnesses prior to surgery; responses were counted to compute a chronic illness burden variable to capture the number of illnesses a participant had in addition to their coronary artery disease.
Generalized estimating equations were used to estimate the contribution of disease and treatment burden variables on HRQOL, while adjusting for the multi-center sampling frame and patient demographics, including: age in years (measured continuously), sex, race/ethnicity, parent education, and disease duration in years (measured continously).
In the latter case, it was not possible to calculate the total expenditures and financial burden variables.
First, the financial burden variables consider OOPHE that can include those of other household members; however, it seems reasonable to assume that older adults spent more for healthcare than younger household members.
The limitation of this study is that financial burden variables consider household out-of-pocket health-related expenditures that can include those of other household members; however, it seems reasonable to assume that older adults spent more for healthcare than younger household members.
The PCV, eosinophilia, FEC, body weight, and parasite burden variables were analyzed by using PROC MIXED of SAS (v. 9.1, SAS Inst. Inc., Cary, NC, USA, 2003) considering the challenges (challenges 1 and 2), the genetic status and their interactions as fixed effects.
The 'variable disease selection' hypothesis assumes that specific infectious diseases impose different metabolic burdens, favoring variable responses in terms of fat distribution and cytokine biology (Wells, 2009a).
Although infectivity was similar between all strains at 4 weeks post-inoculation, bacterial burdens were variable in some tissues, as determined by qPCR (Fig. 6B).
