Baseline resilience and depression symptoms predict trajectory of depression in dyads of patients and their informal caregivers following discharge from the Neuro-ICU.
Gen Hosp Psychiatry
; 62: 87-92, 2020.
Article
em En
| MEDLINE
| ID: mdl-31887641
OBJECTIVE: To explore the impact of resiliency factors on the longitudinal trajectory of depressive symptoms in patients admitted to the Neuroscience Intensive Care Unit (Neuro-ICU) and their family caregivers. MATERIALS AND METHODS: Patients (N = 102) and family caregivers (N = 103) completed self-report assessments of depressive symptoms (depression subscale of the Hospital Anxiety and Depression Scale; HADS-D) and resiliency factors (i.e., mindfulness and coping) during Neuro-ICU hospitalization. The HADS-D was administered again at 3 and 6 months after discharge. The Actor-Partner Interdependence Model (APIM) was used to assess patient-caregiver interdependence. RESULTS: Baseline rates of clinically significant depressive symptoms were high among patients (23%) and caregivers (19%), and remained elevated through 6-months. Higher depressive symptoms predicted higher levels of symptoms at the subsequent timepoint (ps < 0.05). Higher baseline mindfulness and coping were associated with lower levels of depressive symptoms at all timepoints (ps < 0.001). APIM analysis showed that one's own higher baseline mindfulness was associated with concurrent levels of depressive symptoms in a partner (p < 0.05). CONCLUSIONS: Depressive symptoms in Neuro-ICU patient-caregiver dyads are high through 6 months. Mindfulness is protective against depressive symptoms and interdependent between patients and caregivers. Early, dyadic, mindfulness-based interventions may prevent the development of chronic depression in both patients and caregivers.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article