Sentences with phrase «logistic regression analyses adjusting»

Not exact matches

A logistic regression analysis was conducted to adjust for the effects of variables identified through the bivariate analysis to be associated with either type of feeding or the presence of infection or sepsis / meningitis.

Logistic regression analysis was used to adjust for potential confounding variables.

Analysis included logistic regression adjusted for predictor variables and standardized perinatal mortality ratios.

Kaplan - Meier and Cox proportional hazards survival analyses were used in unadjusted and adjusted analyses of the effect of pacifier use on breastfeeding duration.19 Logistic regression modeling was used to evaluate the effect of pacifier timing on breastfeeding duration.20 Significance levels were not adjusted for multiple comparisons.

We also applied logistic regression analysis to calculate adjusted odds ratios, 28 in order to control for possible confounding factors.

After examining the unadjusted, bivariate associations with delayed OL, we used logistic regression analysis to estimate the adjusted odds ratio (OR) and 95 % CI in multiple variable models.

the sample size and to provide age - and education - adjusted normative data using a logistic regression analysis.

Adjusted ORs (95 % CIs) from logistic regression analyses of depression incidence according to quintiles of energy partition — adjusted GI and glycemAdjusted ORs (95 % CIs) from logistic regression analyses of depression incidence according to quintiles of energy partition — adjusted GI and glycemadjusted GI and glycemic load1

Adjusted ORs (95 % CIs) from logistic regression analyses of depression incidence according to quintiles of specific measures of energy partition — adjusted carbohydrate consAdjusted ORs (95 % CIs) from logistic regression analyses of depression incidence according to quintiles of specific measures of energy partition — adjusted carbohydrate consadjusted carbohydrate consumption1

Adjusted ORs (95 % CIs) from logistic regression analyses of depression prevalence according to quintiles of energy partition — adjusted GI and glycemAdjusted ORs (95 % CIs) from logistic regression analyses of depression prevalence according to quintiles of energy partition — adjusted GI and glycemadjusted GI and glycemic load1

Using logistic regression analysis, odds ratios, 95 % confidence intervals and significance p values were estimated for association between each outcome and each childhood measure individually and in models including all childhood measures, each adjusted for cohort and gender.

Other risk factors were assessed and adjusted for by multivariable logistic regression analyses.

Multiple logistic regression analyses were used to determine the association between panic attacks during adolescence in 1983 and the risk of personality disorders during young adulthood in 1993, adjusting for differences in sociodemographic characteristics, adolescent personality disorders, and co-morbid depressive and substance use disorders.

Logistic regression analyses were conducted to estimate the effect of maternal IPV on asthma diagnosed by age 36 months while adjusting for potential confounders (child's sex, age, race / ethnicity, low birth weight, maternal education, economic hardship, and tobacco exposure).

The adjusted odds ratios and 95 % confidence intervals reported for these logistic regression analyses represent the increased likelihood of the outcome of interest, compared with having experienced no adversities.

We used ordinal logistic - regression analysis to test the independent effects of each variable, adjusting for demographics, child personality, and parenting style.

To adjust for potential confounding variables and to derive maximal likelihood estimates of combined relative odds with 95 % confidence intervals, multivariate, unconditional, logistic regression analyses were performed for each of the 6 dependent variables.

Second, we conducted multivariate logistic regression analyses in which the association between attachment and mental health symptoms including depression, anxiety and posttraumatic stress symptoms was examined, adjusting for age, gender, orphan status and adverse childhood experiences.