In secondary analyses, to determine the mortality burden due to the development of ALI, we performed a logistic regression analysis adjusted for ALI development, EDLIPS, and baseline severity of illness (Acute Physiology and Chronic Health Evaluation [APACHE] II score).
No statistically significant variation in the change in mean W/A Z-score and H/A Z-score values was found across the countries in most age groups (Table 6), which suggest the presence of the same weight and height (adjusted for age) developments in the COSI countries.
Unlike earlier studies (11, 12), we attempted to adjust for pubertal development.
To adjust for the development of health expenditures between 2006 and 2009, we calculated domain-specific correction factors as follows.
Previous studies on BMI and FVC and FEV1 in children examined children with a broad age range, for example 6 to 18��years, without considering specific age groups and without adjusting for pubertal development.
At an international level, the relation was significant overall and after adjusting for economic development, but it was not significant after adjusting for race and tropical climate, suggesting that environmental factors other than UV-B may be responsible for the geographic patterns of retinoblastoma.
We fit a multiple linear regression model with age, gender, positive development and resilience, socio-emotional and motor development, adjusted for socio-economic conditions and area of education.
** KIDSCREEN overall score and dimension scores adjusted for baseline HRQoL, pubertal development, and age.
We estimated partial correlation coefficients between the four indicators of pubertal development adjusted for the covariates described above.
When adjusted for age, gender, economic development and health resources distribution, there was still unexplained geographical variation both in hospital admissions and mortality rates.
