By 2015, Africa will be the only continent where the working age percentage of the population will still be growing.
It also gives profiles of 27 neighborhoods, which include information on average age, percentage of families with children and drive times to city landmarks.
Patient characteristics included socio-economic status with the average income quintile from the Census database, average age, percentage of female patients, and health status.
In the multivariable model for hospitalization, older age, percentage of predicted FEV(1), unscheduled clinic/emergency department visits for COPD in the prior year, any cardiovascular comorbidity, and prednisone use at baseline were associated with greater risk.
Meta-regression was applied to explore the source of heterogeneity (e.g., mean age, percentage of females, duration of disease, dominant hand side and follow-up time) if data was available.
In the multivariable model for exacerbation, older age, percentage of predicted FEV(1), duration of COPD, a productive cough, antibiotic or systemic corticosteroid use for COPD in the prior year, hospitalization for COPD in the prior year, and theophylline use at baseline predicted a higher risk.
Attempts were made to explore sources of heterogeneity by considering clinical (i.e., age, percentage of sex, type of AC injury, approach, number of bundle, time of plate removal and duration before surgery) and methodological variables (i.e., type of study) in the meta-regression model.
We applied the random effects meta-analysis to adjust for the differences between studies, and the possible causes of heterogeneity were explored if covariate data at baseline (e.g., age, percentage of sex, type of AC injury, approach, number of bundle, timing of plate removal, duration before surgery and type of studies) were available.
Meta-regression was applied to explore the cause of heterogeneity by fitting a co-variable (i.e., age, percentage of sex, type of AC injury, approach, number of bundle, time of plate removal, duration before surgery and type of studies level), and meta-regression was applied to assess this.
No between-categories significant differences were observed in the rest of the muscular fitness-related variables (maximal isometric force and jumping height) even after accounting for age, percentage of body fat or both (age and percentage of body fat) as covariates.
