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.
There were no significant differences by group
on any sociodemographic variables.
Not exact matches
After determining that the 2 groups were similar
on all measured
sociodemographic variables using χ2 tests, data obtained at the 12 - week follow - up observation point were analyzed.
No differences in anthropometric,
sociodemographic, or perinatal
variables were found between the groups who had (n = 345) or who lacked (n = 20) data
on breast feeding.
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.
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).
We will describe the
sociodemographic variables in our sample and will compare them with those of other studies
on psychopathology with Moroccan - Dutch participants.
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.
Although there was a lower response among families of minority groups (70 %) than among white families (84 %), (p <.01), t - tests and chi - square analyses indicated that minority - group respondents did not differ from minority - group nonrespondents
on any birth status or
sociodemographic variable (p >.05).
Associations between the outcome
variables and
sociodemographic and smoking
variables were assessed using logistic regression to generate odds ratios (ORs) and P values based
on Wald tests.
There was strong evidence of a relationship between
sociodemographic variables and missing data
on depressive symptoms (S2 Table).