There was strong evidence of a relationship
between sociodemographic variables and missing data on depressive symptoms (S2 Table).
There was strong evidence of a relationship
between sociodemographic variables and trajectories of conduct problems (S1 Table).
Responders and non-responders did not differ with respect to the prevalence rates of psychopathology and associations
between sociodemographic variables and mental health outcomes [11].
To assess potential confounding, we examined group differences
between sociodemographic variables and basic needs at baseline.
Finally, we examined the association
between sociodemographic variables (child age, sex, race / ethnicity, maternal obesity, maternal education, poverty) and prevalence of having a chronic condition during any part of the 6 - year study period in multivariate logistic regression models that included all participants.
Not exact matches
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.
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.
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.
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.
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.
However, these findings are not robust, as other studies have found no associations
between EE status and experience or training, 12,21,27,28 or associations
between age and other
sociodemographic variables.12, 21,28