Sentences with phrase «in multivariable analysis»

Indeed, it seems unreasonable to expect that volunteers would successfully identify adolescents with depressive symptoms when professionals so often fail to.37, 38 Our findings of continued poor mental health and possibly increased support need by participants could be explained by bias from differential dropout rates, although this was controlled for in the multivariable analysis.

In multivariable analysis, the main factor associated with «spin» in press releases was the presence of «spin» in the article abstract conclusion.

In the multivariable analysis, we further adjusted for several potential dietary and lifestyle confounding factors, including multivitamin use, smoking status, pack - years of smoking, body mass index, physical activity, alcohol consumption, history of hypertension diagnosis, glycemic index, and intake of whole grains, total fiber, fruits, and vegetables.

An HIV diagnosis during pregnancy, initiation of antiretroviral therapy in the third trimester, plasma viral load of ≥ 500 copies / mL, and delivery between 37 and 40 weeks were correlated with increased likelihood of HIV - indicated cesarean delivery in multivariable analysis.

In the multivariable analysis, the only variables that remained significantly associated with an increased risk of ischaemic stroke were age (hazard ratio [HR] 1.06, 95 % confidence interval [CI] 1.05 - 1.08, p < 0.001 per incremental year) and alcohol related hospitalisation (HR 2.01, 95 % CI 1.45 — 2.79, p < 0.001).

In multivariable analysis, compared to women in the lowest quartile of whole body fat mass, women in the highest quartile had approximately a doubling in the risk for ER - positive breast cancer.

* Pregnancy risk status was included in the multivariable analysis via the inclusion of a number of individual risk factors as model covariates (see «Definitions» section and Table 3).

In all multivariable analyses, we included all of the covariates already described plus the conception season (winter, fall, spring, and summer) to control for influenza infection and vaccination seasonality.

Results: In multivariable analyses, higher intakes of total protein and 7 potentially cardioprotective AAs were associated with lower cSBP, MAP, and PWV.

The same procedure was used to test the associations between prenatal stressful life events and infectious diseases in the offspring, except that maternal relationship satisfaction was included as a control variable in the multivariable analyses.

Not exact matches

In the analysis, we considered multiple covariates that may confound the association between early breastfeeding experience and postpartum depression based on the published literature and included these covariates in our multivariable logistic regression modelIn the analysis, we considered multiple covariates that may confound the association between early breastfeeding experience and postpartum depression based on the published literature and included these covariates in our multivariable logistic regression modelin our multivariable logistic regression models.

In multivariable Cox regression analysis, better overall survival was independently associated with the absence of HCC but not with cirrhosis or gender, while better liver - related survival was associated only with the absence of HCC.

In a multivariable - adjusted analysis, overall dietary changes among the 120,877 men and women in the three cohorts were based on the sum of changes in the intake of fruits, vegetables, whole grains, nuts, refined grains, potatoes or french fries, potato chips, butter, yogurt, sugar - sweetened beverages, 100 % - fruit juice, sweets and desserts, processed meats, unprocessed red meats, trans fat, fried foods consumed at home, and fried foods consumed away from homIn a multivariable - adjusted analysis, overall dietary changes among the 120,877 men and women in the three cohorts were based on the sum of changes in the intake of fruits, vegetables, whole grains, nuts, refined grains, potatoes or french fries, potato chips, butter, yogurt, sugar - sweetened beverages, 100 % - fruit juice, sweets and desserts, processed meats, unprocessed red meats, trans fat, fried foods consumed at home, and fried foods consumed away from homin the three cohorts were based on the sum of changes in the intake of fruits, vegetables, whole grains, nuts, refined grains, potatoes or french fries, potato chips, butter, yogurt, sugar - sweetened beverages, 100 % - fruit juice, sweets and desserts, processed meats, unprocessed red meats, trans fat, fried foods consumed at home, and fried foods consumed away from homin the intake of fruits, vegetables, whole grains, nuts, refined grains, potatoes or french fries, potato chips, butter, yogurt, sugar - sweetened beverages, 100 % - fruit juice, sweets and desserts, processed meats, unprocessed red meats, trans fat, fried foods consumed at home, and fried foods consumed away from home.

However, our results are robust to the multivariable adjustment and propensity score analysis, and any confounding effect may have been minimized in our stratified analysis according to lifestyle profile.

The results from the longitudinal multivariable analyses for GI and glycemic load on the basis of available carbohydrate are shown in Table 4.

aChild Behavior Checklist for 4 - 18 years; bChildren who are currently visiting their father who used to perpetrate intimate partner violence and already separated from their mothers; cInternalizing problems = Withdrawn + Somatic complaints + Anxious / depressed; dExternalizing problems = Delinquent behavior + Aggressive behavior; Total problems = the sum of the scores of all the nine subscales of the CBCL; eAdjusted odds ratios calculated by multivariable logistic regression analysis; fThe dependent variable: 0 = non - clinical, 1 = clinical; gp values calculated by multivariable logistic regression analysis; hStandardized regression coefficients calculated by multivariable regression analysis; ip values calculated by multivariable regression analysis; jVariance Inflation Factor; k0 = non-visiting, 1 = visiting; lThe score of the subscale (anxiety) of the Hospital Anxiety and Depression Scale; mThe score of the subscale (depression) of the Hospital Anxiety and Depression Scale; nThe number of years the child lived with the father in the past; oAdjusted R2 calculated by multivariable regression analysis.

Significant differences were identified in the bivariate and multivariable analyses employing factor loadings, regression analysis p values, and, where applicable, comparisons of 95 % confidence intervals (z set to 1.96).

Other strengths of our analysis include its large nationally representative and diverse sample, as well as the rich availability of covariates for inclusion in multivariable models.

As in the univariate analyses, the decreases in total, physical, and social PedsQL scores with increasing weight category remained significant for responses from both children and parent - proxies even after multivariable adjustment.

As a result, and together with incomplete data in some variables across subjects, the sample sizes for variables in the bivariate and multivariable analyses were less than those for the completed number of cross-sectional and registration - linked ACE score profiles.

Variables identified as significant in univariate analysis were included in multivariable regression models.

Multivariable analyses were used to assess group differences in outcomes, controlling for baseline measures.

In the final analysis, two multivariable logistic models were fitted based on the study hypotheses.

In order to assess the unique contribution of the level of relationship satisfaction, multivariable logistic regression analyses were performed with the following independent control variables: stressful life events, maternal age, level of education, income, marital status, social support, breastfeeding, smoking during pregnancy, maternal depression and the sex of the offspring.

Stealth Listings - Developing a superb Buyer Brokerage Program which results in listings in the future Extensive non-linear multivariable regression analysis of 17 different market areas continues to prove one thing - 100 % of the closing in the United States involve a buyer.