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 |
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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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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.</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 & 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 & Sons Ltd.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3840-d0c14691cf60eb4030ad1614c6e9db6d2b8b26d65a064cd4d8fc59512e9a77173</citedby><cites>FETCH-LOGICAL-c3840-d0c14691cf60eb4030ad1614c6e9db6d2b8b26d65a064cd4d8fc59512e9a77173</cites><orcidid>0000-0003-3628-9056</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fecc.13650$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fecc.13650$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Sauer, Christina</creatorcontrib><creatorcontrib>Grapp, Miriam</creatorcontrib><creatorcontrib>Bugaj, Till J.</creatorcontrib><creatorcontrib>Maatouk, Imad</creatorcontrib><title>Suicidal ideation in patients with cancer: Its prevalence and results of structural equation modelling</title><title>European journal of cancer care</title><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.</description><subject>Anxiety</subject><subject>Cancer</subject><subject>demoralisation</subject><subject>depression</subject><subject>Fatigue</subject><subject>Mathematical models</subject><subject>Mental depression</subject><subject>Mental health</subject><subject>Modelling</subject><subject>Multivariate statistical analysis</subject><subject>Population studies</subject><subject>Questionnaires</subject><subject>Sociodemographics</subject><subject>Structural equation modeling</subject><subject>Suicidal behavior</subject><subject>Suicidal ideation</subject><subject>Suicides & suicide attempts</subject><subject>Tumors</subject><issn>0961-5423</issn><issn>1365-2354</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp1kMFLwzAUxoMoOKcH_4OAFz10S9okbbzJmDoYeFDPIU1eNaNru6R17L83s54E3-U9Pn7v4-ND6JqSGY0zB2NmNBOcnKDJcSdpxtkpmhApaMJZmp2jixA2hNCMSjZB1evgjLO6xs6C7l3bYNfgLl7Q9AHvXf-JjW4M-Hu8ikLn4UvXEAWsG4s9hKGOclvh0PvB9IOPVrAbRqtta6GuXfNxic4qXQe4-t1T9P64fFs8J-uXp9XiYZ2YrGAkscRQJiQ1lSBQMpIRbamgzAiQthQ2LYsyFVZwTQQzltmiMlxymoLUeU7zbIpuR9_Ot7sBQq-2LpiYQTfQDkGlooicTCWJ6M0fdNMOvonpVJpnkheU5TxSdyNlfBuCh0p13m21PyhK1LFxFRtXP41Hdj6ye1fD4X9QLReL8eMbPcyCbg</recordid><startdate>202211</startdate><enddate>202211</enddate><creator>Sauer, Christina</creator><creator>Grapp, Miriam</creator><creator>Bugaj, Till J.</creator><creator>Maatouk, Imad</creator><general>Hindawi Limited</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>ASE</scope><scope>FPQ</scope><scope>FR3</scope><scope>K6X</scope><scope>K9.</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3628-9056</orcidid></search><sort><creationdate>202211</creationdate><title>Suicidal ideation in patients with cancer: Its prevalence and results of structural equation modelling</title><author>Sauer, Christina ; Grapp, Miriam ; Bugaj, Till J. ; Maatouk, Imad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3840-d0c14691cf60eb4030ad1614c6e9db6d2b8b26d65a064cd4d8fc59512e9a77173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anxiety</topic><topic>Cancer</topic><topic>demoralisation</topic><topic>depression</topic><topic>Fatigue</topic><topic>Mathematical models</topic><topic>Mental depression</topic><topic>Mental health</topic><topic>Modelling</topic><topic>Multivariate statistical analysis</topic><topic>Population studies</topic><topic>Questionnaires</topic><topic>Sociodemographics</topic><topic>Structural equation modeling</topic><topic>Suicidal behavior</topic><topic>Suicidal ideation</topic><topic>Suicides & suicide attempts</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sauer, Christina</creatorcontrib><creatorcontrib>Grapp, Miriam</creatorcontrib><creatorcontrib>Bugaj, Till J.</creatorcontrib><creatorcontrib>Maatouk, Imad</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Engineering Research Database</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of cancer care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sauer, Christina</au><au>Grapp, Miriam</au><au>Bugaj, Till J.</au><au>Maatouk, Imad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Suicidal ideation in patients with cancer: Its prevalence and results of structural equation modelling</atitle><jtitle>European journal of cancer care</jtitle><date>2022-11</date><risdate>2022</risdate><volume>31</volume><issue>6</issue><spage>e13650</spage><epage>n/a</epage><pages>e13650-n/a</pages><issn>0961-5423</issn><eissn>1365-2354</eissn><abstract>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.</abstract><cop>Oxford</cop><pub>Hindawi Limited</pub><doi>10.1111/ecc.13650</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-3628-9056</orcidid><oa>free_for_read</oa></addata></record> |
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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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