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A predictive model of anxiety and depression symptoms after a lower limb amputation

A predictive model of anxiety and depression symptoms after a lower limb amputation

Pedras, Carla Susana Abreu

;

Carvalho, Rui

; Pereira, M. Graça
| 2018 | DOI

Artigo de Jornal

Patients with Diabetic Foot Ulcer (DFU) show high levels of depression and anxiety symptoms. The loss of a limb is undoubtedly a devastating experience and several studies have shown that anxiety and depression symptoms are a common reaction after a lower limb amputation (LLA). However, no study has focused on the immediate emotional reactions to LLA as a personal factor based on the ICF Model. Objective: This study focused on the characterization of anxiety and depression levels, before and after surgery, differences in levels of depression and anxiety before and after surgery and the predictors of anxiety and depression one month after surgery, in a sample of patients with DFU. Methods: This was a longitudinal study with 179 patients with Diabetes Mellitus Type 2 and DFU indicated for amputation, screened for the presence of anxiety and depression symptoms during the hospitalization that preceded amputation and one month after surgery, during a follow-up consultation. Results: The results showed a significant effect of anxiety and depression symptoms at pre-surgery in the prediction of anxiety and depression symptoms one month after LLA. Patients showed higher levels of anxiety than depression symptoms at pre-surgery, although anxiety significantly decreased on month after surgery. Both anxiety and depression symptoms contributed to depression after LLA, although
anxiety at pre-surgery was the only predictor of anxiety at post-surgery. Conclusions: Tailored multidisciplinary interventions need to be developed providing support before and after an amputation surgery, in order to reduce anxiety and depression symptoms and promote psychological adjustment to limb loss.
POCI-01-0145-FEDER-007653. Portuguese Foundation for Science and Technology and the Portuguese Ministry of Science, Technology and Higher Education through national funds and cofinanced by FEDER through COMPETE2020 under the PT2020 Partnership Agreement (POCI-01-0145-FEDER-007653). This work was supported by a grant (SFRH/BD/87704/2012) from the Portuguese Foundation for Science and Technology

Publicação

Ano de Publicação: 2018

Editora: Elsevier

Identificadores

ISSN: 1936-6574