OBJECTIVE: To identify trajectories of cognitive-affective depressive symptoms among acutely hospitalized older patients and whether trajectories are related to prognostic baseline factors and three-month outcomes such as functional decline, falls, unplanned readmissions, and mortality.METHODS: Prospective multicenter cohort of acutely hospitalized patients aged ≥ 70. Depressive trajectories were based on Group Based Trajectory Modeling, using the Geriatric Depression Scale-15. Outcomes were functional decline, falls, unplanned readmission, and mortality within three months post-discharge.RESULTS: The analytic sample included 398 patients (mean age = 79.6 years; SD = 6.6). Three distinct depressive symptoms trajectories were identified: minimal (63.6%), mild persistent (25.4%), and severe persistent (11.0%). Unadjusted results showed that, compared to the minimal symptoms group, the mild and severe persistent groups showed a significantly higher risk of functional decline (mild: OR = 3.9, p < .001; severe: OR = 3.0, p = .04), falls (mild: OR = 2.0, p = .02; severe: OR = 6.0, p < .001), and mortality (mild: OR = 2.2, p = .05; severe: OR = 3.4, p = .009). Patients with mild or severe persistent symptoms were more malnourished, anxious, and functionally limited and had more medical comorbidities at admission.CONCLUSION: Nearly 40% of the acutely hospitalized older adults exhibited mild to severe levels of cognitive-affective depressive symptoms. In light of the substantially elevated risk of serious complications and the fact that elevated depressive symptoms was not a transient phenomenon identification of these patients is needed. This further emphasizes the need for acute care hospitals, as a point of engagement with older adults, to develop discharge or screening procedures for managing cognitive-affective depressive symptoms.
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Depression is a highly prevalent and seriously impairing disorder. Evidence suggests that music therapy can decrease depression, though the music therapy that is offered is often not clearly described in studies. The purpose of this study was to develop an improvisational music therapy intervention based on insights from theory, evidence and clinical practice for young adults with depressive symptoms. The Intervention Mapping method was used and resulted in (1) a model to explain how emotion dysregulation may affect depressive symptoms using the Component Process Model (CPM) as a theoretical framework; (2) a model to clarify as to how improvisational music therapy may change depressive symptoms using synchronisation and emotional resonance; (3) a prototype Emotion-regulating Improvisational Music Therapy for Preventing Depressive symptoms (EIMT-PD); (4) a ten-session improvisational music therapy manual aimed at improving emotion regulation and reducing depressive symptoms; (5) a program implementation plan; and (6) a summary of a multiple baseline study protocol to evaluate the effectiveness and principles of EIMT-PD. EIMT-PD, using synchronisation and emotional resonance may be a promising music therapy to improve emotion regulation and, in line with our expectations, reduce depressive symptoms. More research is needed to assess its effectiveness and principles.
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OBJECTIVE: Depression among older adults predicts mortality after acute hospitalization. Depression is highly heterogeneous in its presentation of symptoms, whereas individual symptoms may differ in predictive value. This study aimed to investigate the prevalence of individual cognitive-affective depressive symptoms during acute hospitalization and investigate the predictive value of both overall and individual cognitive-affective depressive symptoms for mortality between admission up to 3-month postdischarge among older patients.METHODS: A prospective multicenter cohort study enrolled 401 acutely hospitalized patients 70 years and older (Hospitalization-Associated Disability and impact on daily Life Study). The predictive value of depressive symptoms, assessed using the Geriatric Depression Scale 15, during acute hospitalization on mortality was analyzed with multiple logistic regression.RESULTS: The analytic sample included 398 patients (M (SD) = 79.6 (6.6) years; 51% men). Results showed that 9.3% of participants died within 3 months, with symptoms of apathy being most frequently reported. The depression total score during hospitalization was associated with increased mortality risk (admission: odds ratio [OR] = 1.2, 95% confidence interval [CI] = 1.2-1.3; discharge: OR = 1.2, 95% CI = 1.2-1.4). Stepwise multiple logistic regression analyses yielded the finding that feelings of hopelessness during acute hospitalization were a strong unique predictor of mortality (admission: OR = 3.6, 95% CI = 1.8-7.4; discharge: OR = 5.7, 95% CI = 2.5-13.1). These associations were robust to adjustment for demographic factors, somatic symptoms, and medical comorbidities.CONCLUSIONS: Symptoms of apathy were most frequently reported in response to acute hospitalization. However, feelings of hopelessness about their situation were the strongest cognitive-affective predictor of mortality. These results imply that this item is important in identifying patients who are in the last phase of their lives and for whom palliative care may be important.
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