Submitted:
05 July 2024
Posted:
05 July 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Variables and Instruments
- Pain: evaluated using the Bodily Pain subscale of the Short Form 36 Health Survey (SF-36) [36]. The SF-36 measures various aspects of health-related quality of life, including pain intensity and its limitations. The Bodily Pain subscale is scored from 0 to 100, where higher scores indicate less pain and fewer limitations due to pain. The Cronbach's alpha for the SF-36 ranges from 0.71 to 0.94 across subscales [37]. In a review with a Spanish population, including cancer patients, the scales exceeded the proposed reliability standard (α ≥ 0.70) [38]. In this study, the observed internal consistency of the bodily pain subescale was α = .87.
- Perception of Threat: Measured using the Brief Illness Perception Questionnaire (B-IPQ) [39,40]. This questionnaire comprises 9 items that evaluate cognitive and emotional perceptions of illness threat. The first 8 items correspond to factors such as consequences, duration, personal control, treatment control, identity, concern, emotional response, and understanding. These are rated on a Likert scale from 0 to 10, with higher scores indicating a greater perception of threat. The final item is an open question about the perceived main causes of the illness. Overall scores are calculated by reversing items 3, 4, and 7, and summing them with items 1, 2, 5, 6, and 8. Higher total scores indicate a greater perceived threat of illness [41,42]. The B-IPQ has shown adequate psychometric properties, with internal consistency indices ranging from α = 0.67 to 0.98 [42,43,44,45]. In this study, Cronbach's alpha was α = .67.
- Emotional Distress: Assessed using the Hospital Anxiety and Depression Scale (HADS)[46]. This scale measures anxiety and depression symptoms without considering somatic symptoms, making it suitable for individuals with medical diagnoses. The HADS comprises 14 items forming two subscales: anxiety (HADS-A) and depression (HADS-D). Each item is rated on a Likert scale from 0 (minimum) to 3 (maximum presence of symptoms). Items 1, 3, 6, 8, 10, 11, and 13 are reversed. Total scores for each subscale indicate levels of anxiety and depression. Additionally, a total Emotional Distress score can be obtained by summing both subscales. The interpretation of HADS scores is as follows: 0-7 indicates normal anxiety and depression symptoms, 8-10 probable case of anxiety or depression, and >10 clinical problem. Regarding emotional distress ≥ 20 scores indicated a clinical problem [47]. For this study, Cronbach’s alpha was α = .90.
- Suicide Risk: Assessed using the Plutchik Suicide Risk Scale [48,49]. This instrument measures the level of suicide risk and feelings related to depression and hopelessness. It consists of 15 dichotomous items (yes/no), with one point awarded for each affirmative answer, resulting in a maximum score of 15. Higher scores indicate a higher risk of suicide, with scores of six or more indicating significant risk [50]. The Spanish version demonstrated adequate psychometric properties, with an internal consistency of α = 0.90 [49,51]. In this study, Cronbach's alpha was α = 0.71.
2.3. Procedure
2.4. Design
2.5. Analysis
3. Results
3.1. Descriptive Analysis
| B-IPQ Factors | M | SD |
|---|---|---|
| Consequences | 4.51 | 3.27 |
| Timeline | 4.17 | 2.48 |
| Personal control | 6.49 | 3.50 |
| Treatment control | 1.71 | 1.98 |
| Indentity | 3.35 | 3.38 |
| Concern | 5.71 | 3.17 |
| Understanding | 2.30 | 2.84 |
| Emotional response | 4.84 | 3.30 |
3.2. Correlational Analysis
| Pain | Threat perception | Emotional distress | Suicide risk | |
| Pain | 1 | |||
| Threat perception | .46** | 1 | ||
| Emotional distress | .40** | .49** | 1 | |
| Suicide risk | .51** | .45** | .60** | 1 |
3.3. Predictive Analysis
| Suicide risk in CRC | ||||||||
| Predictors | ∆R2 | ∆F | β | t | ||||
| Step 1 | .31*** | 12.73*** | ||||||
| Pain | .30 | 2.61* | ||||||
| Illness threat perception | .27 | 2.30* | ||||||
| Step 2 | .11*** | 10.77** | ||||||
| Emotional distress | .34 | 3.28** | ||||||
| Durbin-Watson | 2.46 | |||||||
| R2ajd | .39*** | |||||||
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Public Involvement Statement
Guidelines and Standards Statement
Use of Artificial Intelligence
Acknowledgments
Conflicts of Interest
References
- Organización Mundial de La Salud (OMS). Available online: https://www.who.int/es/news-room/fact-sheets/detail/cancer (accessed on 26 June 2024).
- Tambo-Lizalde, E.; Aréjula-Tarongi, C.; Ramos-Jiménez, N. Prevención Del Cáncer y Factores de Riesgo. Available online: https://revistasanitariadeinvestigacion.com/prevencion-del-cancer-y-factores-de-riesgo/ (accessed on 26 June 2024).
- National Cancer Institute (NCI). Available online: https://www.cancer.gov/espanol/cancer/naturaleza/que-es (accessed on 26 June 2024).
- Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 2021, 71, 209–249. [Google Scholar] [CrossRef]
- Xi, Y.; Xu, P. Global Colorectal Cancer Burden in 2020 and Projections to 2040. Transl Oncol 2021, 14. [Google Scholar] [CrossRef]
- Guerrero Alcedo, J.M.; Prepo Serrano, A.R.; Loyo Álvarez, J.G. Autotrascendencia, Ansiedad y Depresión En Pacientes Con Cáncer En Tratamiento. Revista Habanera de Ciencias Médicas 2016, 15, 297–309. [Google Scholar]
- Hernández Silva, M.A.; Ruíz Martínez, A.O.; González Escobar, S.; González-Celis Rangel, A.L.M. Ansiedad, Depresión y Estrés Asociados a La Calidad de Vida de Mujeres Con Cáncer de Mama. Acta Investig Psicol 2020, 10, 102–111. [Google Scholar] [CrossRef]
- Falk, S.; Bannister, K.; Dickenson, A.H. Cancer Pain Physiology. Br J Pain 2014, 8, 154–162. [Google Scholar] [CrossRef]
- Bennett, M.I.; Kaasa, S.; Barke, A.; Korwisi, B.; Rief, W.; Treede, R.D. The IASP Classification of Chronic Pain for ICD-11: Chronic Cancer-Related Pain. Pain 2019, 160, 38–44. [Google Scholar] [CrossRef]
- Zielińska, A.; Włodarczyk, M.; Makaro, A.; Sałaga, M.; Fichna, J. Management of Pain in Colorectal Cancer Patients. Crit Rev Oncol Hematol 2021, 157. [Google Scholar] [CrossRef]
- Walling, A.M.; Weeks, J.C.; Kahn, K.L.; Tisnado, D.; Keating, N.L.; Dy, S.M.; Arora, N.K.; Mack, J.W.; Pantoja, P.M.; Malin, J.L. Symptom Prevalence in Lung and Colorectal Cancer Patients. J Pain Symptom Manage 2015, 49, 192–202. [Google Scholar] [CrossRef]
- Brown, M.R.D.; Ramirez, J.D.; Farquhar-Smith, P. Pain in Cancer Survivors. Br J Pain 2014, 8, 139–153. [Google Scholar] [CrossRef]
- Paice, J.A.; Portenoy, R.; Lacchetti, C.; Campbell, T.; Cheville, A.; Citron, M.; Constine, L.S.; Cooper, A.; Glare, P.; Keefe, F.; et al. Management of Chronic Pain in Survivors of Adult Cancers: American Society of Clinical Oncology Clinical Practice Guideline. Journal of Clinical Oncology 2016, 34, 3325–3345. [Google Scholar] [CrossRef]
- Cheng, V.; Oveisi, N.; McTaggart-Cowan, H.; Loree, J.M.; Murphy, R.A.; De Vera, M.A. Colorectal Cancer and Onset of Anxiety and Depression: A Systematic Review and Meta-Analysis. Curr Oncol 2022, 29, 8751–8766. [Google Scholar] [CrossRef]
- Peng, Y.N.; Huang, M.L.; Kao, C.H. Prevalence of Depression and Anxiety in Colorectal Cancer Patients: A Literature Review. Int J Environ Res Public Health 2019, 16. [Google Scholar] [CrossRef]
- Mols, F.; Schoormans, D.; de Hingh, I.; Oerlemans, S.; Husson, O. Symptoms of Anxiety and Depression among Colorectal Cancer Survivors from the Population-Based, Longitudinal PROFILES Registry: Prevalence, Predictors, and Impact on Quality of Life. Cancer 2018, 124, 2621–2628. [Google Scholar] [CrossRef]
- Belloch, A.; Sandín, B.; Ramos, F. Manual de Psicopatología, Volumen II.; McGraw Hill: Madrid, España, 2020. [Google Scholar]
- Bernal García, P.; Muñoz Algar, M.J. Tratamiento Farmacológico de La Depresión En Cáncer. Psicooncologia (Pozuelo de Alarcon) 2016, 13, 249–270. [Google Scholar] [CrossRef]
- World Health Organization (WHO) Suicide Worldwide in 2019: Global Health Estimates; Geneva, 2021.
- Amiri, S.; Behnezhad, S. Cancer Diagnosis and Suicide Mortality: A Systematic Review and Meta-Analysis. Archives of Suicide Research 2020, 24, S94–S112. [Google Scholar] [CrossRef]
- Heinrich, M.; Hofmann, L.; Baurecht, H.; Kreuzer, P.M.; Knüttel, H.; Leitzmann, M.F.; Seliger, C. Suicide Risk and Mortality among Patients with Cancer. Nat Med 2022, 28, 852–859. [Google Scholar] [CrossRef]
- Innos, K.; Rahu, K.; Rahu, M.; Baburin, A. Suicides among Cancer Patients in Estonia: A Population-Based Study. Eur J Cancer 2003, 39, 2223–2228. [Google Scholar] [CrossRef]
- Björkenstam, C.; Edberg, A.; Ayoubi, S.; Rosén, M. Are Cancer Patients at Higher Suicide Risk than the General Population? A Nationwide Register Study in Sweden from 1965 to 1999. Scand J Public Health 2005, 33, 208–214. [Google Scholar] [CrossRef]
- Fang, F.; Mittleman, M.A.; Sparén, P.; Ye, W.; Adami, H.-O.; Valdimarsdóttir, U. Suicide and Cardiovascular Death after a Cancer Diagnosis. N Engl J Med 2012, 366, 1310–1318. [Google Scholar] [CrossRef]
- Du, L.; Shi, H.Y.; Yu, H.R.; Liu, X.M.; Jin, X.H.; Yan-Qian; Fu, X. L.; Song, Y.P.; Cai, J.Y.; Chen, H.L. Incidence of Suicide Death in Patients with Cancer: A Systematic Review and Meta-Analysis. J Affect Disord 2020, 276, 711–719. [Google Scholar] [CrossRef]
- Larsson, C.; de la Croix, H.; Grönkvist, R.; Park, J.; Rosenberg, J.; Tasselius, V.; Angenete, E.; Haglind, E. Suicide after Colorectal Cancer—a National Population-Based Study. Colorectal Disease 2024, 1–8. [Google Scholar] [CrossRef]
- Lacomba-Trejo, L. Factores Psicosociales y de Adaptación En Adolescentes Con Enfermedad Crónica y Sus Familias, Universitat de València: Valencia, 2022.
- Cameron, L.; Leventhal, E.A.; Leventhal, H. Symptom Representations and Affect as Determinants of Care Seeking in a Community-Dwelling, Adult Sample Population. Health Psychology 1993, 12, 171–179. [Google Scholar] [CrossRef]
- Diefenbach, M.A.; Leventhal, H. The Common-Sense Model of Illness Representation: Theoretical and Practical Considerations. J Soc Distress Homeless 1996, 5, 11–38. [Google Scholar] [CrossRef]
- Gage-Bouchard, E.A.; Pailler, M.; Devine, K.A.; Flores, T. Optimizing Patient-Centered Psychosocial Care to Reduce Suicide Risk and Enhance Survivorship Outcomes Among Cancer Patients. J Natl Cancer Inst 2021, 113, 1129–1130. [Google Scholar] [CrossRef] [PubMed]
- The Lancet Oncology The Importance of Nurses in Cancer Care. Lancet Oncol 2015, 16, 737. [CrossRef]
- East, L.; Knowles, K.; Pettman, M.; Fisher, L. Advanced Level Nursing in England: Organisational Challenges and Opportunities. J Nurs Manag 2015, 23, 1011–1019. [Google Scholar] [CrossRef]
- Kerr, H.; Donovan, M.; McSorley, O. Evaluation of the Role of the Clinical Nurse Specialist in Cancer Care: An Integrative Literature Review. Eur J Cancer Care (Engl) 2021, 30. [Google Scholar] [CrossRef] [PubMed]
- Young, A.M.; Charalambous, A.; Owen, R.I.; Njodzeka, B.; Oldenmenger, W.H.; Alqudimat, M.R.; So, W.K.W. Essential Oncology Nursing Care along the Cancer Continuum. Lancet Oncol 2020, 21, 555–563. [Google Scholar] [CrossRef]
- Castañ Navarro, I.; Castañ Navarro, A.M. Análisis de La Aplicación de Gramgea En La Práctica Diaria y Su Evolución En Los 2017 al 2022. Ocronos 2023, 6, 318. [Google Scholar]
- Ware, J.E.; Sherbourne, C.D. The MOS 36-Item Short-Form Health Survey (SF-36): I. Conceptual Framework and Item Selection. Med Care 1992, 30, 473–483. [Google Scholar] [CrossRef] [PubMed]
- Alonso, J.; Prieto, L.; Jm, A. La Versión Española Del SF-36 Health Survey (Cuestionario de Salud SF-36): Un Instrumento Para La Medida de Los Resultados Clínicos. Med Clin 1995, 104, 771–776. [Google Scholar]
- Vilagut, G.; Ferrer, M.; Rajmil, L.; Rebollo, P.; Permanyer-Miralda, G.; Quintana, J.M.; Santed, R.; Valderas, J.M.; Ribera, A.; Domingo-Salvany, A.; et al. El Cuestionario de Salud SF-36 Español: Una Década de Experiencia y Nuevos Desarrollos. Gac Sanit 2005, 19, 135–150. [Google Scholar] [CrossRef]
- Weinman, J.; Petrie, K.J.; Moss-Morris, R.; Horne, R. The Illness Perception Questionnaire: A New Method for Assessing the Cognitive Representation of Illness. Psychol Health 1996, 11, 431–445. [Google Scholar] [CrossRef]
- Pacheco-Huergo, V.; Viladrich, C.; Pujol-Ribera, E.; Cabezas-Peña, C.; Núñez, M.; Roura-Olmeda, P.; Amado-Guirado, E.; Núñez, E.; Del Val, J.L. Percepción En Enfermedades Crónicas: Validación Lingüística Del Illness Perception Questionnaire Revised y Del Brief Illness Perception Questionnaire Para La Población Española. Aten Primaria 2012, 44, 280–287. [Google Scholar] [CrossRef] [PubMed]
- Lacomba-Trejo, L.; Mateu-Mollà, J.; Álvarez, E.C.; Benavent, A.M.O.; Serrano, A.G. Threat Perception of Advanced Chronic Kidney Disease and Its Association with Anxious and Depressive Symptomatology. Revista de Psicologia de la Salud 2021, 9. [Google Scholar] [CrossRef]
- Valero-Moreno, S.; Lacomba-Trejo, L.; Casaña-Granell, S.; Prado-Gascó, V.J.; Montoya-Castilla, I.; Pérez-Marín, M. Psychometric Properties of the Questionnaire on Threat Perception of Chronic Illnesses in Pediatric Patients. Rev Lat Am Enfermagem 2020, 28. [Google Scholar] [CrossRef]
- Zhang, N.; Fielding, R.; Soong, I.; Chan, K.K.K.; Lee, C.; Ng, A.; Sze, W.K.; Tsang, J.; Lee, V.; Lam, W.W.T. Psychometric Assessment of the Chinese Version of the Brief Illness Perception Questionnaire in Breast Cancer Survivors. PLoS One 2017, 12. [Google Scholar] [CrossRef]
- Chew, B.H.; Vos, R.C.; Heijmans, M.; Shariff-Ghazali, S.; Fernandez, A.; Rutten, G.E.H.M. Validity and Reliability of a Malay Version of the Brief Illness Perception Questionnaire for Patients with Type 2 Diabetes Mellitus. BMC Med Res Methodol 2017, 17. [Google Scholar] [CrossRef]
- Leysen, M.; Nijs, J.; Meeus, M.; Paul van Wilgen, C.; Struyf, F.; Vermandel, A.; Kuppens, K.; Roussel, N.A. Clinimetric Properties of Illness Perception Questionnaire Revised (IPQ-R) and Brief Illness Perception Questionnaire (Brief IPQ) in Patients with Musculoskeletal Disorders: A Systematic Review. Man Ther 2015, 20, 10–17. [Google Scholar] [CrossRef] [PubMed]
- Zigmond, A.S.; Snaith, R.P. The Hospital Anxiety and Depression Scale. Acta psychiatr. scand 1983, 67, 361–370. [Google Scholar] [CrossRef] [PubMed]
- Lacomba-Trejo, L.; Casaña-Granell, S.; Pérez-Marín, M.; Montoya-Castilla, I. Estrés, Ansiedad y Depresión En Cuidadores Principales de Pacientes Con Diabetes Mellitus Tipo 1. Calidad de vida y salud 2017, 10, 10–22. [Google Scholar]
- Plutchik, R.; van Praag, H.M.; Conte, H.R.; Picard, S. Correlates of Suicide and Violence Risk 1: The Suicide Risk Measure. Compr Psychiatry 1989, 30, 296–302. [Google Scholar] [CrossRef] [PubMed]
- Rubio, G.; Montero, J.; Jáuregui, J.; Villanueva, R.; Casado, M.A.; Marin, J.J.; Santo-Domingo, J. Validación de La Escala de Riesgo Suicida de Plutchik En Población Española. Arch Neurobiol (Madr) 1998, 61, 143–152. [Google Scholar]
- Lacomba-Trejo, L.; Valero-Moreno, S.; Mateu-Mollá, J.; Sanz-Cruces, J.M.; García-Cuena, I. Relación Entre Riesgo Suicida, Síntomas Depresivos y Limitaciones Sociales En El Trastorno Adaptativo. Revista de Investigación en Psicología Social 2016, 4, 24–32. [Google Scholar]
- Gómez Tabares, A.S.; Núñez, C.; Caballo, V.E.; Paula Agudelo Osorio, M.P.; Grisales Aguirre, A.M. Predictores Psicológicos Del Riesgo Suicida En Estudiantes Universitarios. Behavioral Psychology / Psicología Conductual 2019, 27, 391–413. [Google Scholar]
- Li, J.; Ma, C. Anxiety and Depression during 3-Year Follow-up Period in Postoperative Gastrointestinal Cancer Patients: Prevalence, Vertical Change, Risk Factors, and Prognostic Value. Ir J Med Sci 2023, 192, 2621–2629. [Google Scholar] [CrossRef]

| n (%) | ||
|---|---|---|
| Marital status | Bachelor | 1 (1,52 %) |
| Married | 39 (59,09 %) | |
| Widow Divorced |
16 (24,24 %) 10 (15,15 %) |
|
| Living situation | Alone | 10 (15,40 %) |
| Accompanied | 55 (84,60 %) | |
| Children | Yes | 47 (78,33 %) |
| No | 13 (21,67 %) | |
| Ocupation | Active Unemployed Temporary leave Inability Retirement Housework Unknown |
6 (9,23 %) 5 (7,69 %) 8 (12,31 %) 3 (4,62 %) 33 (50,77 %) 6 (9,23 %) 4 (6,5 %) |
| Diagnosis | Colon cancer Rectal cancer Sigma cancer |
37 (52,11 %) 17 (23,94 %) 17 (23,94 %) |
| Stage | 0 1 2 3 4 |
1 (1,54 %) 12 (18,46 %) 29 (44,62 %) 21 (32,30 %) 2 (3,08 %) |
| Hospitalization | Yes No |
11(20,75 %) 42(79,25 %) |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).