Depressive Cognitions Impact On A Latent Growth Curve Model Of Depressive Symptoms In Caregiving Grandmothers

Grandmothers caring for grandchildren have elevated levels of depressive symptoms compared to grandmothers who do not provide care. While the CES-D measures the somatic, positive and negative affect, and interpersonal strain symptoms experienced with depression, the Depressive CognitionScale © captures the change in cognitive thinking that often precedes depression. Depressive symptoms, on the other hand, are state like in nature and describe depressive symptoms that have happened recently. While depressive cognitions, according to Beck’s theory of depression, are the first negative thought processes to appear, these typically lead to other, more serious symptoms of depression. Specifically, depressive cognitions reflect negative thinking patterns and not depression. Data were collected on 343 participants in a longitudinal nationwide online research study of caregiving grandmothers. A latent growth curve model was used to track the trajectory of depressive symptoms at four time points (baseline, 2 weeks, 12 weeks, and 24 weeks). As depressive cognitions are the precursor to the development of depressive symptoms, a latent growth curve model was tested to gain an understanding of how depressive cognitions impacts the trajectory of depressive symptoms over time. The model fit the data well (Chi Square=21.025; df=9; p=.013; TLI=.976; CFI=.985; RMSEA=.063). Baseline depressive cognitions had a strong impact on the intercept (Standardized Beta=.76, p<.001) and the slope of depressive symptoms (Standardized Beta=-.67, p<.001). The continued impact of depressive cognitions over 24 weeks indicates the need for potential interventions to further address depressive cognitions as a way to decrease depressive symptoms in grandmother caregivers.

Effects of Postpartum Fatigue and Depressive Cognitions on Life Satisfaction and Quality of Life in Arab Postpartum Women: The Intervening Role of Resourcefulness

The purpose of this study is to explore the relationships among postpartum fatigue (PPF), depressive cognitions, resourcefulness, quality of life, and life satisfaction in Arab postpartum mothers. A conceptual framework is used in this study based on the middle range theory of resourcefulness, which Zauszniewski developed in 2006. The study is a cross-sectional descriptive design with 123 postpartum women who had given birth within the past six months. used WhatsApp and Facebook for recruitment. developed the self-administered online survey in Qualtrics and collected data from 6 January 2017, to 6 February 2017. Correlation analysis is used to address the research aim and used the P value of 0.05 to determine the significance of the results. There were significant correlations among depressive cognitions and resourcefulness, life satisfaction, and quality of life; there were also significant correlations between PPF and life satisfaction, as well as among resourcefulness, quality of life, and life satisfaction. The results of this study emphasized the importance of assessing depressive symptoms and PPF in mothers early in the postpartum period. The results may contribute to designing future intervention studies aimed toward decreasing the risk of mothers with PPF developing more serious depressive symptoms.

Clinical Depression, Depressive Symptoms, and Depressed Cognition in Caregiving Grandmothers

Grandmothers living with or raising grandchildren have elevated levels of depressive symptoms compared to grandmothers who do not provide care. While the CES-D measures the somatic, positive and negative affect, and interpersonal strain symptoms experienced with depression, the Depressive Cognitions Scale captures the change in cognitive thinking that often precedes clinical depression. Our aim was to compare depressive symptoms and depressed cognitions between grandmother caregivers with a diagnosis of depression and those without in a nationwide sample of 342 grandmother caregivers. In the questionnaire, participants were asked whether they had a diagnosis of depression amongst other health conditions and also completed the CES-D and the Depressed Cognitions Scale. A score of 16 or greater on the CESD or a score above 7 on the Depressed Cognitions Scale can be used to identify individuals who may be at risk for depression. Grandmothers who had a diagnosis of depression were more likely to have CES-D scores 16 and above (79.7 %) as compared to those who were not (39.2%) (Chi Square=54.55, p<.001); and more likely to have higher depressed cognition scores 7 and above (71.3 %) as compared to those who did not (42.9%) (Chi Square=26.68, p<.001). Additionally, grandmothers who had depressed cognitions were more likely to have CES-D scores 16 and above (74.1 %) as compared to those who were not (33.1%) (Chi Square=57.56, p<.001). The elevated scores in participants who already have a diagnosis of depression indicates the need for potential interventions to further address depressive symptoms in grandmother caregivers.

Relationship between migration-stressors and self-reported symptoms of depression in an outpatient sample of Vietnamese migrants in Germany

IntroductionVietnamese migrants under the influence of migration-related stressors (MRS) represent a vulnerable group within the mental health care system in Germany.AimsFirst study examining the relationship between the quantity of experienced MRS and the severity of self-reported symptoms of depression in a Vietnamese outpatient-sample.Methods137 first-generation Vietnamese migrants diagnosed with depression were asked to complete the BDI-II and 24 questions about stressful experiences related to the migration process. Linear regression models was performed to examine the influence of the MRS-quantity on BDI-II total score and on BDI-II subscales (Buckley et al., 2001).ResultsA higher number of experienced MRS was found to be related to a higher BDI-II total score, as well as to a higher score on the cognitive subscale in particular. Regarding the cognitive depression-dimension the BDI-II items pessimism, past failure, guilt feelings, punishment feelings and suicidal thoughts were positively related to the MRS-quantity.Discussion and conclusionA dose-response-relationship was found, with a higher number of MRS being related to a higher severity level of self-reported depressiveness as well as to a higher level of cognitive depression-symptoms in particular. The increase in suicidal ideations in the light of MRS-exposure is in line with findings from other migrant populations. Therapeutic interventions may focus (more) on depressive cognitions as a result of recurring MRS-experiences. Special attention should be placed on suicidal thoughts being boosted by MRS.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Conceptual and Empirical Scrutiny of Covarying Depression Out of Suicidal Ideation

Depression and suicidal ideation are highly intertwined constructs. A common practice in suicide research is to control for depression when predicting suicidal ideation, yet implications of this practice have not been subjected to sufficient empirical scrutiny. We explore what, precisely, is represented in a suicidal ideation variable with depression covaried out. In an adult psychiatric outpatient sample ( N = 354), we computed two variables—depression with suicidal ideation covaried out, and suicidal ideation with depression covaried out—and examined correlations between these residuals, three factors comprising a variegated collection of psychological correlates of suicidal ideation, psychiatric diagnoses, and past suicidal behavior. Findings indicated that suicidal ideation with depression covaried out appears to be characterized by fearlessness about death, self-sacrifice, and externalizing pathology. We propose that suicidal ideation may comprise two distinct components: desire for death (passive ideation and depressive cognitions) and will (self-sacrifice, fearlessness, externalizing behavior). Implications, limitations, and future directions are discussed.

Outcomes of Depression in Black Single Mothers

Despite suggestions in the literature that depression has serious consequences, few studies have examined specific health and psychosocial outcomes of depression in Black single mothers. The purpose of this study was to estimate paths in a just-identified theoretical model of outcomes of depression for Black single mothers based on theoretical propositions and empirical findings. The model included the variables, depressive cognitions, depressive symptomatology, perceived social support, and positive health practices. Five direct and two indirect hypothesized relationships were estimated using structural equation modeling. A nonprobability sample of convenience of 159 Black single mothers aged 18 to 45 years was recruited for the study. This study used a cross-sectional correlational design. The participants responded in person or via the U.S. mail to the Center for Epidemiologic Studies–Depression scale, the Depressive Cognition Scale, the Personal Resource Questionnaire 85–Part 2, and the Personal Lifestyle Questionnaire. Beta and Gamma path coefficients were statistically significant for four out of five hypothesized direct relationships within the model ( p < .01). The direct path between depressive cognitions and positive health practices was not supported (Gamma = −.11, p > .05). The two indirect paths were weak but statistically significant ( p < .01). Depressive symptoms and perceived social support were outcomes of depressive cognitions. Positive health practices was not a direct outcome of depressive cognitions. Perceived social support and positive health practices were outcomes of depressive symptoms.

Biofeedback in Grandmothers Raising Grandchildren: Correlations Between Subjective and Objective Measures

Research shows that 20% of grandmothers raising grandchildren experience stress and depression. Heart rate variability (HRV) biofeedback may help grandmothers track and regulate their physiological response to stress. This study therefore examined correlations between coherence scores reflecting HRV and self-report measures of stress, negative emotions, and depressive cognitions in 20 grandmothers raising grandchildren. Higher coherence scores were inversely and significantly correlated with self-report measures, suggesting the need to examine the effects of HRV biofeedback on biomarkers reflecting stress and depression.