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Prevalence of depression in a cohort of 400 patients with pancreatic neoplasm attending day hospital for major surgery: Role on depression of psychosocial functioning and clinical factors
Author(s) -
Del Piccolo Lidia,
Marinelli Veronica,
Mazzi Maria Angela,
Danzi Olivia Purnima,
Bonamini Deborah,
Secchettin Erica,
Tuveri Massimiliano,
Bassi Claudio,
Rimondini Michela,
Salvia Roberto
Publication year - 2021
Publication title -
psycho‐oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.41
H-Index - 137
eISSN - 1099-1611
pISSN - 1057-9249
DOI - 10.1002/pon.5607
Subject(s) - psychosocial , medicine , social support , cohort , coping (psychology) , depression (economics) , distress , psychiatry , clinical psychology , psychology , economics , psychotherapist , macroeconomics
Abstract Objective (1) To determine the prevalence and type of depressive symptoms at day‐hospital clinical evaluation, before undergoing major surgery in patients diagnosed with pancreatic neoplasm. (2) To analyze the association between depression and sociodemographic, clinical, and psychosocial variables. (3) To understand how coping strategies, perceived social support, and self‐efficacy might affect depressive symptoms in this cohort of patients. Methods Secondary data analysis collected during the baseline phase of a randomized controlled trial performed at the Pancreas Institute of the University Hospital of Verona, Italy, between June 2017 and June 2018. Results 18.5% of pancreatic patients had a PHQ‐9 score ≥10 (cut‐off). Depressed patients were basically more often female ( p = 0.07), younger ( p = 0.06), and married/with a partner ( p = 0.02). Depression was associated to high trait anxiety ( p < 0.01), the use of anxiolytics ( p < 0.01), sleep‐inducing drugs ( p < 0.01), and painkillers ( p < 0.01). Among psychosocial variables, depressed patients showed lower perceived self‐efficacy ( p < 0.01) and family and friends’ social support ( p < 0.01) and used significantly more often dysfunctional coping strategies ( p < 0.01), compared to nondepressed. A logistic multivariate model using psychosocial variables as explanatory and depression as dependent was calculated and post hoc analyses were conducted to describe the contribution of each psychosocial variable on depression. Conclusions Our study advocates the need for screening for distress and depression in cancer surgery units and recommends to strengthen patients' adaptive coping, social support, and sense of effectiveness in facing the challenges related to the medical condition and treatment process.