Sentence examples for multivariate analysis children from inspiring English sources

According to the result of the multivariate analysis, children of mothers who had no education had about two times higher odds of diarrhea than children whose mothers' had primary and above education [AOR: 1.81, 95% CI (1.12, 2.76)].

On multivariate analysis, children with a history of weight loss during the illness (OR = 2.75; 95% CI = 1.27 5.95), presence of pulmonary crackles (OR = 3.63; 95% CI = 1.40 9.45), and white blood cell (WBC) count greater than 15,000 cells/μL (OR = 2.21; 95% CI = 1.09 4.47) were more likely to have bacteremia (Table 1).

In the multivariate analysis, children who had low birth weight (Adjusted OR, 2.65 [95 % CI, 1.09-6.45], p = 0.032) or showed evidence of developmental delay (Adjusted OR, 12.09 [95 % CI, 2.68-54.57], p = 0.001) were associated with higher odds of malnutrition (Table  5).

In multivariate analysis, children's age, sex, knowledge score and their parents' attitudes (i.e., forbid to play with affected children) remained statistically significant (Table 3).

Table 6 shows the final model of the multivariate analysis for children living in urban areas.

By multivariate analysis in children who received ART, predictors for greater increase of CD4% from baseline were lower baseline CD4% (p<0.01) and higher baseline Zn level (p=0.02).

This association remained statistically significant in the multivariate analysis for children with admission PRISM score ≤5 (OR = 2.41, 95% CI = 1.08 to 5.37, P = 0.032).

Based on multivariate logistic analysis, children with CHD who had low haemoglobin levels were six times more likely to be malnourished, and so the high prevalence of anaemia may be a consequence of the moderate to severe malnutrition.

In the multivariate analysis, higher Child-Pugh score, active alcoholism, and no antibiotic prophylaxis were significant predictors of infection development.

By adjusting for potential confounders (age, gender, race, if having public assistance), the multivariate analysis showed that children receiving applications were about 2.1 times more likely to be insured than children in the control group, by transforming the OR the authors reported to the RR (OR 3.8, 95% CI 1.7 to 8.6 to RR 2.13, 95% CI 1.42 to 2.75).

Furthermore, results from the multivariate analysis indicate that children in the lowest economic category used inpatient care to a much greater extent than better-off children for problems considered potentially avoidable through primary prevention or through timely outpatient care.