Exact(2)
Warfarin dose requirement, which varies 20-fold, is influenced by factors such as intake of vitamin K, ethnicity, illness, age, gender, concurrent medication, body mass index and genetic factors (Loebstein et al. 2001; Takahashi and Echizen 2003; Wadelius et al. 2004).
In summary, this review focuses on comparing problem behavior in children with a chronically ill parent with control/norm groups and examines whether child characteristics (gender, age), parent characteristics (gender, age, SES, single parenthood, ethnicity), illness characteristics (duration, variability in diagnosis, typology) and assessment type moderate group differences.
Similar(58)
At last, patients will be more than the product of their age, sex, ethnicity, illnesses and bad habits; treatments will be aimed like a laser at their personal genetic particulars, and if those genes are not quite what they should be, then those genes will be fixed.
Age, gender, ethnicity, duration of illness, mycobacterial species (M. tuberculosis 69.1%, M. africanum 30.3%, M. bovis 0.6%), and recruitment site were included as potentially relevant co-variates.
Previously suggested predictors include gender, age, ethnicity, employment, mental illness and certain physical diagnosis.
Participants with any criminal justice system encounter did not significantly differ from those without encounters on gender, ethnicity, uninsured status, illness severity per PANSS total score, and on physical level of functioning.
Since there were differences between men and women in severity of illness, ethnicity, comorbid conditions, pre-ICU length of stay, pre-ICU location and hospital teaching status, we controlled for these covariates.
Information will be gathered at baseline on demographic characteristics (age, gender, education level, marital status, work and ethnicity), history of illness, current medication use and diagnostic characteristics (DSM-IV Axis II by means of the Structured Clinical Interview for DSM-IV Personality Disorders (SCID-II) [ 59], the other axes are obtained from the medical records).
29 31 Multivariate models were developed to identify factors associated with the presence of significant depressive symptoms, incorporating potential confounders including socioeconomic status, ethnicity, comorbid medical illnesses and relevant biological measurements.
Demographic and clinical characteristics were collected at baseline and included age, gender, ethnicity, diagnosis, duration of illness, and employment status.
These related to gender, age, ethnicity, diagnosis, duration of illness, response to treatment and NMDA-R auto-antibody status.
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