Sentences with phrase «logistic regression analysis»

Multiple logistic regression analyses showed that the high level of self - reported musculoskeletal pain was highly associated with strenuous physical and psychosocial work conditions.

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

The effects of relationship dissatisfaction, life events, emotional distress, and demographic variables on the risk of relationship dissolution were examined using logistic regression analyses.

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.

Results from logistic regression analysis indicate that marital status differentially affects mortality, but not in a social vacuum.

Research question 1 was investigated by multinomial logistic regression analyses with bootstrapping.

Multivariate logistic regression analyses indicated that past adolescent conduct disorder, being younger and male, symptoms of Akathisia (movement disorder, most often develops as a side effect of antipsychotic medications), and particularly drug abuse increase the risk for CJS involvement.

We examined independent associations by using multivariable logistic regression analysis.

The associations between the level of maternal relationship satisfaction and infectious disease in the group of < 6 - month - old infants were first tested by performing separate bivariate logistic regression analyses for each of the eight infectious diseases as the dependent variable, using the level of relationship satisfaction as the predictor variable.

Mixed effect logistic regression analyses revealed that adolescent volunteering was associated with an increased likelihood of volunteering in young adulthood (Odds Ratio [OR] 1.29; 95 % Confidence Interval [CI] 1.20 — 1.39; N = 2,648) and of Grade 12 completion (OR 1.14; CI 1.03 — 1.28; N = 2,648), after controlling for family socioeconomic status and adolescent school adjustment.

In investigating research question 2, indirect paths from the significant T1 predictors through T2 / T3 relationship satisfaction and child - rearing conflicts to late dissolutions were tested by logistic regression analyses using the SPSS Macro Process (Hayes [2013]-RRB-.

Separate logistic regression analyses for each disease and age group showed that prenatal relationship dissatisfaction and stressful life events were significantly associated with all reported categories of infectious disease.

As shown in Tables 1 and 2, the results from the bivariate logistic regression analyses showed a significant association with all eight infectious diseases in both age groups of infants.

Univariate logistic regression analyses showed that the incidence of MDD was associated with family cohesion in the previous year and with the total CES - D scores at baseline.

Unadjusted and adjusted binary logistic regression analyses of associations between risk factors and disorders (n = 219)

In multivariate analysis, stepwise logistic regression analysis demonstrated that FAB (odds ratio [OR] = 0.79, 95 % confidence interval [CI] = 0.66 — 0.94) and the use of CCB (OR = 2.72, 95 % CI = 1.09 — 6.77) were significantly associated with UI at 1 year.

We assessed the association between onlineoffline partner dating and UAI, using random - effects logistic regression analysis..

Binomial logistic regression analyses revealed that early institutional rearing was associated with increased rates of attention and social problems, but not problems in either the internalizing or externalizing domains.

Statistical methodology: logistic regression analyses adjusting for sex, social class and teenage mental health problems.

Logistic regression analyses find that mothers with a varying work schedule, those who work more than 40 hours per week, those with more education, and those in families with the father as main child care provider are more likely to use multiple care arrangements.

Multivariate logistic regression analyses examined parity progression by birth order, while multinomial logistic regression was used to identify associations between sex composition and use of permanent, temporary and traditional contraceptive methods.

Results from hierarchical logistic regression analyses indicate that caregiver need for the intervention and family systems variables significantly predicted initial engagement in the intervention, while demographic variables, stressful life circumstances, and family stress failed to significantly influence engagement.

After adjusting for education and economic indicators logistic regression analysis showed that, children were more likely to be given formula if their mother recalled advertising messages, or a doctor, or mother or relative recommended it.

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

The above classification of MPs then formed the basis of the ordinal logistic regression analyses [5] used to determine common traits among the out camp.

This is the first study reporting the use of this technology, called logistic regression analysis, to predict which chemical groups are best for making chiral molecules.

«Machine learning offers new way of designing chiral crystals: Logistic regression analysis model predicts ideal chiral crystal.»

We then examined the interaction between gender and BIS - 11 among logistic regression analyses to see whether the relationship between impulsivity and DSH / SA was moderated by gender (model 5).26 Logistic regression was used to analyse the role of impulsivity and all other sociodemographic, clinical and personality trait variables with DSH / SA between genders (model 6).

Stepwise backward logistic regression analyses were performed with dichotomised FSS score at contact 2 as dependent variable.

LRA Logistic regression analysis, GEE generalized estimating equations, CBCL child behavior checklist

These decomposition analyses were conducted as single - predictor logistic regression analyses to determine which aspect or aspects of the parent — facilitator relationship quality at the initial contact most strongly predicted engagement.

Logistic Regression Analysis Predicting Lifetime Dignosis in Youth by Maternal Depression to Age 10 Years

In addition, logistic regression analyses providing risk estimates for health behaviours with respect to the first diagnosis of internalizing disorders were similar, though less pronounced, as those presented in Table 3.

Multiple logistic regression analysis explored the association between incident infection and perceived parental supervision and perceived parental communication while controlling for relevant demographic and behavioral factors (age, religious involvement, school enrollment, a 2 - parent household, having a main sex partner, and having concurrent sex partners).

Multinominal logistic regression analysis of bullying behaviour in 3918 students in schools in New South Wales.

In multivariable logistic regression analyses, we found that negative early breastfeeding experiences were associated with depressive symptoms at 2 months postpartum.