Researchers are commonly faced with the problem of missing data. This article presents theoretical and empirical information for the selection and application of approaches for handling missing data on a single variable. An actual data set of 492 cases with no missing values was used to create a simulated yet realistic data set with missing at random (MAR) data. The authors compare and contrast five approaches (listwise deletion, mean substitution, simple regression, regression with an error term, and the expectation maximization [EM] algorithm) for dealing with missing data, and compare the effects of each method on descriptive statistics and correlation coefficients for the imputed data (n = 96) and the entire sample (n = 492) when imputed data are inculded. All methods had limitations, although our findings suggest that mean substitution was the least effective and that regression with an error term and the EM algorithm produced estimates closest to those of the original variables.

This study used the resiliency model of family stress, adjustment, and adaptation as the framework to examine the main and moderating effects of social support and resourcefulness in the relationship between family life stresses and strain and depressive symptoms in grandmothers raising grandchildren, grandmothers in multigenerational homes, and noncaregivers to grandchildren. A sample of 486 Ohio grandmothers, recruited using random and supplemental convenience methods, completed mailed surveys. Analysis of variance was used to examine differences in family life stresses and strain, resourcefulness, support, and depressive symptoms across the three groups of grandmothers. Hierarchical multiple regression analyses were used to examine whether family stresses and strains affected the grandmother's depressive symptoms and whether social support and resourcefulness moderated the relationship between family stresses and strain and grandmothers' mental health. Grandmothers raising grandchildren reported more depressive symptoms, but in multiple regression analyses of the full sample that controlled for demo-graphics, primary caregiving status was not related to depressive symptoms. More strain and less subjective support and resourcefulness were associated with higher depressive symptoms for all grandmothers, with 33% to 54% explained variances of such symptoms for each caregiving group and the full sample. Subjective support moderated the effects of strain and instrumental support moderated the effects of family life stresses on depressive symptoms. Social support and resourcefulness may help protect grandmothers from the effects of family stresses and strain, and interventions to enhance these factors may assist grandmother caregivers to achieve better mental health.

Recommendations for research and for practice, especially during times of caregiving transition or for grandmothers raising grandchildren, are discussed.

Chronic illness with its accompanying physical stressors poses a risk factor for loneliness and depression in later life. Testing a model of stress and coping, we examined the effects of three types of coping resources (religious coping; Selection, Optimization, and Compensation [SOC] adaptive strategies; and perceived social support) on the deleterious effects of chronic illness among older women. Community-dwelling older women ( N = 138) with at least one chronic illness ( M = 3.9, SD = 2.1) completed mailed questionnaires. Respondents reported multiple morbidities and 90% reported interference with daily life. Social support was associated with less loneliness and depression and mediated the relationship between physical health and loneliness. Our study demonstrates two distinct pathways to depressive symptoms: one through physical symptoms, pain, and disability, and another through the experience of loneliness. Findings support intervention approaches that address disability-related issues and loneliness, and assist older women with chronic illness in identifying and marshaling social support.

Background Grandmothers living with grandchildren face stressors that may increase depressive symptoms, but cognitive-behavioral strategies, such as resourcefulness, may reduce the effects of stressors on mental health. Purpose This analysis examined the contemporaneous and longitudinal relationships among intra-family strain, resourcefulness and depressive symptoms in 240 grandmothers, classified by caregiving status to grandchildren. Methods Grandmothers raising grandchildren, grandmothers living in multigenerational homes, and non-caregivers to grandchildren reported on intra-family strain, resourcefulness, and depressive symptoms using mailed questionnaires at three time points over five years. Structural equation modeling was used to evaluate the mediating effects of resourcefulness and the relationships between variables. Discussion Grandmother caregiver status had significant effects on depressive symptoms and intra-family strain, but not resourcefulness. At all waves, higher resourcefulness was associated with fewer depressive symptoms, which reduced appraisals of intra-family strain. Conclusions Interventions focused on strengthening resourcefulness could reduce depressive symptoms over time.