However, in the multivariate model gender was not significantly associated with obesity and the multiplication interaction between gender and sleep was not significant.
In the multivariate model, gender was the only independent factor associated with survival (HR: 4.76, 95% CI 1.35 to 16.66, p=0.015 for male gender).
While other factors were held constant in the multivariate model, gender and age remained statistically significant factors affecting patient survival after hip fracture.
The following factors were included in the multivariate model: gender, time to clinic, satisfaction with past B12 injections, several perceived disadvantages of injections (shots are painful, frequent visits to see MD/nurse, cost to health care system), and one perceived disadvantage of pills (won't see MD/nurse as often).
The following variables collected at ICU admission were considered for the multivariate model: gender, SAPSII, co-morbidities, severe sepsis, septic shock, invasive mechanical ventilation, glucocorticoid therapy, time to initial antibiotic therapy, hemodialysis-hemofiltration, bacteremia and pathogens with P <0.20 by univariate analysis.
* Not Applicable Table 2 shows data on glycemic control by age group, after adjustment in multivariate models for gender, educational level, race, marital status, and duration of diabetes.
In multivariate models, age, gender and factors that showed significant association in univariate analysis (pN and grade of differentiation) were included.
Multivariate models using gender, age, ethnic origin, residence, site of infection, status (new or relapse), drug resistance, BCG status, chest x-ray and cavity were analyzed and potential interactions were assessed for significance.
Finally, to elucidate the potential influence of gender on correlates of frailty, we stratified the multivariate model by gender.
Adjusted RR are presented: adjusted for country of recruitment only; multivariate model including gender, age, membership in support groups, and country of recruitment.
