Exemplos de uso de Other study variables em Inglês e suas traduções para o Português
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
Other study variables.
Secondary results- the other study variables.
However, these findings warrant caution, because the percentage difference was small 7%,as well as that for all other study variables.
When analyzing the scores of the protocol and other study variables, direct correlations p.
The cross-sectional design can also be characterized as a limitation,as it makes identifying the causality between physical inactivity and the other study variables impossible.
Further association with other study variables, such as lifestyle and anthropometric measurements.
There were no significant correlations between the BDI results and the other study variables.
Moreover, since only one investigator had been blinded to all other study variables analyzed the HRV, the results are highly reproducible and reliable.
Score of swallowing dysfunction was developed to establish associations with other study variables.
When eosinophilia on NLC and the other study variables were compared, some of the associations found were statistically significant, as shown in Table 3.
This software was ran by only one duly trained investigator who was blind to the other study variables.
The relationship between the presence of nutritional risk and other study variables, we used rao& scott test and multiple logistic regressions(stepwise forward) with 5% significance level.
All analyses were performed with Kubios HRV software Biosignal Analysis and Medical Imaging Group, Joensuu,Finland by a single evaluator blinded to the other study variables.
The total score by whodas 2.0 was analyzed in relation to other study variables, through the application of statistical tests: mann-whitney, kruskal-wallis test with post hoc dunn and spearman correlation, p.
In addition, the secondary objective was to investigate possible associations with other study variables that were potential determinants.
Other study variables included age 60-64, 65-74, 75 years or older, gender and number of residents in the household lives alone, resides with one person, resides with two or more persons, corresponding to one, two and three or more residents, respectively.
Moreover, because the HRV was analyzed by only one investigator who had been blinded to all other study variables, results are highly reproducible and reliable.
In the capital of Finland, the association between birth weight/gestational age andoverweight of adolescents was observed not to remain after controlling for the other study variables.
The other study variables, not representative of the ASP judging criteria, were: position of the surfer on the board in relation to the wave SPEW frontside: when the surfer faces the wave; or backside: when the back of the surfer is turned to the wave; length of ride; and overall frequency of major maneuvers FM.
Previous studies indicate that enrollment in high school would be a protective factor for deaths by homicide. However,this association was not assessed jointly in the presence of the other study variables.
The other study variables were defined according to the ASP judging criteria: take-off quality exceptional, average or bad, wave exit controlled, fall in the main section of the wave[MSW] or after the MSW; frequency of imbalances IF, percentage of maneuvers in the critical section of the wave MCS; variety of maneuvers VIM; and frequency of each major maneuver.
Initially, a descriptive analysis of the study population was performed,followed by a bivariate analysis to check the association between non-adherence and the other study variables using the chi-square test or Fisher's exact test.
The assessment of factors associated with the prevalence of gingival bleeding and dental calculus used the odds ratio OR and corresponding 95% confidence intervals,as estimated by non-conditional logistic regression analysis and without adjustment for the other study variables.
Still, in the aforementioned study, there was no correlation between the fact that teachers had studied the subject as undergraduates related to learning disabilities and the main aspects of dyslexia with the other study variables, such as the identification, definition, and manifestations of dyslexia.
Following this, researchers with skills in coding and selecting cause of death and morbidity according to international rules assigned codes to the main injury main diagnosis andto the external cause that gave rise to the injury secondary diagnosis, along with the other study variables.
There was no association with the other studied variables.
No significant correlations were found between total cholesterol levels and the other studied variables.
Other studied variables, such as gender and time of use, did not influence the changes observed in the present study. .
No significant association was found between pneumonia and breastfeeding, daycare attendance,passive smoking, and other studied variables.
The analysis of variance ANOVA was used to compare mean values of body composition indices andits corresponding masses with the other studied variables.