Sentences with phrase «for sociodemographic variables»

Symptoms of mental health problems in 10th grade predicted use of medical benefits at follow - up (tables 3 and 4), adjusted for sociodemographic variables and for health behaviour.

Assessed families who attended 4 of 4 visits had significantly increased parental involvement in developmental advancement and parental verbal responsivity compared with those with fewer visits in the unadjusted (ES, 0.51 and 0.39, respectively) and multiple regression analyses adjusting for all sociodemographic variables (0.51 and 0.40, respectively).

Physical Punishment, Childhood Abuse and Psychiatric Disorders Afifi, Brownridge, Cox, & Sareen Child Abuse & Neglect: The International Journal, 30 (10), 2006 View Abstract Compares the childhood experience of physical punishment or physical abuse and whether it was associated with adult psychopathology, after adjusting for sociodemographic variables and parent - child attachment type.

Five self - report questionnaires will be used at baseline and, except for the sociodemographic variables, after the intervention is completed (12, 18 and 24 months later) to evaluate the short - term and long - term effects of the intervention on primary (health) and secondary (social participation, life satisfaction and healthcare services utilisation) outcomes and to describe the participants (table 1).

The results were adjusted for sociodemographic variables.

Not exact matches

Separate logistic models were used to calculate P values for the interaction between levels of each sociodemographic variable and seriousness of psychological distress to assess whether these AORs differed across strata.

A logistic regression model was fit to evaluate the effects of each sociodemographic variable level on odds of screening positive for depression controlling for each of the other sociodemographic variables.

Coyne discusses the limits of self reported distress among college students as an analogue for clinical depression.5 Secondly, participants in analogue studies differ from clinical populations in important sociodemographic variables such as age, social class, and educational level.

Similarly, the size of between - group differences in depressive symptoms may vary between studies that used groups matched on sociodemographic variables and studies that did not control for these between - group differences, because the lack of control for demographic variables may cause unsystematic bias rather than a general overestimation or underestimation of between - group differences in depressive symptoms.

Weighted bivariate and multivariate logistic analyses were used to assess the relationship between maternal depressive symptoms (trichotomized to depression at both time points, at 1 time point, and at neither time point) and parental prevention practices, while controlling for a wide variety of sociodemographic variables.

To account for missing poverty data, we used UVIS (univariate imputation sampling) in Stata version 10,15 which imputes a variable using logit regression with sociodemographic variables having significant statistical association with nonmissing poverty data (child age, maternal obesity, maternal education, and race / ethnicity).

Symptoms of distress, depression, anxiety and stress were significantly higher and levels of well - being were significantly lower in trainees compared with consultants, and this was not accounted for by differences in sociodemographic variables.

After controlling for the role of sociodemographic variables, poorer self - reported vision was independently associated with more functional limitations, feelings of social isolation, and depressive symptomatology and poorer visual acuity predicted more functional limitations.

The results for Step 1 (examining the role of sociodemographic variables) and Step 2 (examining the direct role of the vision and marital quality variables) were identical across the models focusing on self - reported vision and visual acuity; the results for Step 3 (the test of moderation) varied across these models.

A series of follow - up regressions examined the moderating effects of adolescent age, gender, race, ethnicity, and household status by creating a series of interaction terms for each of the family and school / community variables that involved, separately, each of these sociodemographic variables.

Associations between group status and parent - reported outcomes were assessed via regression analyses controlling for sociodemographic and health status variables.

We examined associations between variables in our main community sample using either simple logistic regression or multiple logistic regression (adjusted for sociodemographic and other variables) to generate odds ratios and Wald tests.

Mean levels of psychological well - being by parental status, controlling for sociodemographic background variables.