We will describe
the sociodemographic variables in our sample and will compare them with those of other studies on psychopathology with Moroccan - Dutch 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.
Sociodemographic variables included sex, race / ethnicity, grade level, and participation
in competitive sport within the past 12 months.
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.
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.
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.
Sociodemographic variables were measured
in the NSHAP using standard self - report items.
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).
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.
However, academic difficulties
in children of depressed mothers were not mediated by parental IQ,
sociodemographic variables or the mother's mental health after the postpartum depressive episode.
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.
Second, t - tests or chi - square tests were conducted to examine ethnic differences
in sociodemographic, relationship quality, and illness
variables.
At the end of this session, each parent received a set of self - report questionnaires, including
sociodemographic variables, as well as the questionnaire measuring depressive symptoms
in parents (see Measures subsection below).