Suicidal ideation in patients with cancer: Its prevalence and results of structural equation modelling

Objective Patients with cancer have a higher risk of suicidal ideation (SI) and suicidality than the general population. This study was designed to investigate the prevalence of SI and its association with psychosocial and sociodemographic factors and tumour entity. Methods In this observational cro...

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Veröffentlicht in:European journal of cancer care 2022-11, Vol.31 (6), p.e13650-n/a
Hauptverfasser: Sauer, Christina, Grapp, Miriam, Bugaj, Till J., Maatouk, Imad
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container_title European journal of cancer care
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creator Sauer, Christina
Grapp, Miriam
Bugaj, Till J.
Maatouk, Imad
description Objective Patients with cancer have a higher risk of suicidal ideation (SI) and suicidality than the general population. This study was designed to investigate the prevalence of SI and its association with psychosocial and sociodemographic factors and tumour entity. Methods In this observational cross‐sectional study, 4372 adult patients with different cancer entities were enrolled. We assessed the outcome variables (i.e. SI, depressive and anxiety symptoms, mental and physical fatigue and sociodemographic data) using self‐report questionnaires. Data were analysed via descriptive statistics, binomial logistic regression and structural equation modelling (SEM). Results Among all patients, 627 (14.3%) reported SI, of whom 12.8% reported SI on several days, 0.9% on half of the days and 0.6% nearly every day. Age, anxiety, mental fatigue and the Patient Health Questionnaire‐9 items ‘feeling down, depressed and hopeless’, ‘feeling bad about oneself’ and ‘slowing or agitation’ were significant predictors of SI. SEM, including all significant predictors with a latent depressiveness–demoralisation variable, explained 30.3% variance of SI, showing a good fit. Conclusions Our results showed that a significant number of patients with cancer show SI. Future long‐term studies are needed to address the differential contribution of depression and demoralisation on SI in patients with cancer.
doi_str_mv 10.1111/ecc.13650
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This study was designed to investigate the prevalence of SI and its association with psychosocial and sociodemographic factors and tumour entity. Methods In this observational cross‐sectional study, 4372 adult patients with different cancer entities were enrolled. We assessed the outcome variables (i.e. SI, depressive and anxiety symptoms, mental and physical fatigue and sociodemographic data) using self‐report questionnaires. Data were analysed via descriptive statistics, binomial logistic regression and structural equation modelling (SEM). Results Among all patients, 627 (14.3%) reported SI, of whom 12.8% reported SI on several days, 0.9% on half of the days and 0.6% nearly every day. Age, anxiety, mental fatigue and the Patient Health Questionnaire‐9 items ‘feeling down, depressed and hopeless’, ‘feeling bad about oneself’ and ‘slowing or agitation’ were significant predictors of SI. SEM, including all significant predictors with a latent depressiveness–demoralisation variable, explained 30.3% variance of SI, showing a good fit. Conclusions Our results showed that a significant number of patients with cancer show SI. Future long‐term studies are needed to address the differential contribution of depression and demoralisation on SI in patients with cancer.</description><identifier>ISSN: 0961-5423</identifier><identifier>EISSN: 1365-2354</identifier><identifier>DOI: 10.1111/ecc.13650</identifier><language>eng</language><publisher>Oxford: Hindawi Limited</publisher><subject>Anxiety ; Cancer ; demoralisation ; depression ; Fatigue ; Mathematical models ; Mental depression ; Mental health ; Modelling ; Multivariate statistical analysis ; Population studies ; Questionnaires ; Sociodemographics ; Structural equation modeling ; Suicidal behavior ; Suicidal ideation ; Suicides &amp; suicide attempts ; Tumors</subject><ispartof>European journal of cancer care, 2022-11, Vol.31 (6), p.e13650-n/a</ispartof><rights>2022 The Authors. published by John Wiley &amp; Sons Ltd.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). 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This study was designed to investigate the prevalence of SI and its association with psychosocial and sociodemographic factors and tumour entity. Methods In this observational cross‐sectional study, 4372 adult patients with different cancer entities were enrolled. We assessed the outcome variables (i.e. SI, depressive and anxiety symptoms, mental and physical fatigue and sociodemographic data) using self‐report questionnaires. Data were analysed via descriptive statistics, binomial logistic regression and structural equation modelling (SEM). Results Among all patients, 627 (14.3%) reported SI, of whom 12.8% reported SI on several days, 0.9% on half of the days and 0.6% nearly every day. Age, anxiety, mental fatigue and the Patient Health Questionnaire‐9 items ‘feeling down, depressed and hopeless’, ‘feeling bad about oneself’ and ‘slowing or agitation’ were significant predictors of SI. SEM, including all significant predictors with a latent depressiveness–demoralisation variable, explained 30.3% variance of SI, showing a good fit. Conclusions Our results showed that a significant number of patients with cancer show SI. 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subjects Anxiety
Cancer
demoralisation
depression
Fatigue
Mathematical models
Mental depression
Mental health
Modelling
Multivariate statistical analysis
Population studies
Questionnaires
Sociodemographics
Structural equation modeling
Suicidal behavior
Suicidal ideation
Suicides & suicide attempts
Tumors
title Suicidal ideation in patients with cancer: Its prevalence and results of structural equation modelling
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