Abstract
As primary caregivers of children with mental health problems, mothers face challenges that put them at risk for depression,
which is rarely identified or addressed. The aims of this paper were to (a) identify mean differences among demographic, stressor,
threat, and resource variables specified in a theoretical model and thought to be associated with maternal depressive symptoms
and (b) determine how much variability in depressive symptoms is explained by these variables. High levels and prevalence
of depressive symptoms were found within a quality of life study that these data were drawn from. Of 139 mothers participating
in this study, 58% had a score of 16 or greater on the CES-D indicating moderate to high levels of depressive symptoms. Significant
differences were found between mothers with higher versus lower levels of depressive symptoms for 11 of the 18 variables.
Hierarchical regression was used to examine the variance explained in depressive symptoms based upon the conceptual model
with 4 composite variables. Income (step 1), behavioral problems (step 2), threat appraisal (step 3), and resource appraisal
(step 4) combined explained 42% of the variance.
which is rarely identified or addressed. The aims of this paper were to (a) identify mean differences among demographic, stressor,
threat, and resource variables specified in a theoretical model and thought to be associated with maternal depressive symptoms
and (b) determine how much variability in depressive symptoms is explained by these variables. High levels and prevalence
of depressive symptoms were found within a quality of life study that these data were drawn from. Of 139 mothers participating
in this study, 58% had a score of 16 or greater on the CES-D indicating moderate to high levels of depressive symptoms. Significant
differences were found between mothers with higher versus lower levels of depressive symptoms for 11 of the 18 variables.
Hierarchical regression was used to examine the variance explained in depressive symptoms based upon the conceptual model
with 4 composite variables. Income (step 1), behavioral problems (step 2), threat appraisal (step 3), and resource appraisal
(step 4) combined explained 42% of the variance.
- Content Type Journal Article
- Pages 1-11
- DOI 10.1007/s10826-011-9445-4
- Authors
- Janis E. Gerkensmeyer, Indiana University School of Nursing, Indianapolis, IN 46202, USA
- Susan M. Perkins, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Jennifer Day, Community Health Network, Indianapolis, IN 46219, USA
- Joan K. Austin, Indiana University School of Nursing, Indianapolis, IN 46202, USA
- Eric L. Scott, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Jingwei Wu, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Journal Journal of Child and Family Studies
- Online ISSN 1573-2843
- Print ISSN 1062-1024