Evidence map›Paper›PMID 40323527›Full record

ArticleCancer causes & control : CCC2025

Prediction of suicidal ideation and rumination based on illness perception and social support in cancer patients: A cross-sectional study.

Mohammadsoroush Agah, Abdol-Azim Seddighi Pashaki, Zahra Taslimi, Behnaz Alafchi, Arya Haddadi, Saeid Yazdi-Ravandi

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Article in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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6 authors.

Mohammadsoroush AgahDepartment of Psychology, Faculty of Humanities, Hamadan Branch, Islamic Azad University, Hamadan, Iran.
Abdol-Azim Seddighi PashakiCancer Research Centre, Hamadan University of Medical Sciences, Hamadan, Iran.
Zahra TaslimiBehavioral Disorders and Substance Abuse Research Center, Institute of Neuroscience and Mental Health, Hamadan University of Medical Sciences, Hamadan, Iran, Hamadan, Iran.
Behnaz AlafchiModeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Islamic Republic of Iran.
Arya HaddadiBehavioral Disorders and Substance Abuse Research Center, Institute of Neuroscience and Mental Health, Hamadan University of Medical Sciences, Hamadan, Iran, Hamadan, Iran.
Saeid Yazdi-RavandiBehavioral Disorders and Substance Abuse Research Center, Institute of Neuroscience and Mental Health, Hamadan University of Medical Sciences, Hamadan, Iran, Hamadan, Iran. Yazdiravandi@umsha.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccording to the World Health Organization, cancer is the second leading cause of death globally after cardiovascular diseases and the third leading cause of death in Iran. It is generally accepted that suicidal thoughts and rumination affect the treatment process of cancer. As the rate of suicide in the first 6 months after cancer diagnosis has been reported seven times compared to the general population. On the other hand, it seems that patients' perception of their disease and social support are predictors of suicidal thoughts and rumination in these patients. In this study, we investigated the impact of disease perception and social support on the level of suicidal thoughts and rumination in cancer patients.

methodsThis descriptive-analytical cross-sectional study was conducted on the adult cancer patients of Hamadan city in 2024. A total of 250 patients were selected through convenience sampling. Data were collected using the Beck Scale for Suicidal Ideation (BSSI), the Nolen-Hoeksema and Morrow Rumination Questionnaire, the Brief Illness Perception Questionnaire (BIPQ), and the Social Support Questionnaire (SS-A). Data analysis was performed using Pearson correlation coefficient and regression analysis with the application of SPSS-26 software.

resultsThe findings indicate that social support (β = - 0.458, p < 0.001 (and disease perception (β = 0.168, p = 0.003) are significant predictors of suicidal thoughts. Additionally, increased disease perception (β = 0.242, p = 0.000) can lead to increased rumination (β = - 0.379, p = 0.000), while social support (β = - 0.379, p = 0.000) plays a protective role in reducing rumination. DISCUSSION: The results of this study show that disease perception and social support can predict suicidal thoughts and rumination in cancer patients. Clinically, the findings emphasize the necessity of considering psychological factors such as disease perception and social support in the treatment process of cancer patients.

Indexed as

NeoplasmsRumination, CognitiveSocial SupportSuicidal IdeationAdultAgedCross-Sectional StudiesFemaleHumansIranMaleMiddle AgedSurveys and QuestionnairesDisease perceptionNeoplasmsRuminationSocial supportSuicidal thoughts

Identifiers

PMID40323527

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.