Validación del inventario de pensamientos negativos en respuesta al dolor en población argentina con cefaleas primarias
PDF

Palabras clave

dolor
pensamientos automáticos negativos (PAN)
inventario de pensamientos negativos en respuesta al dolor (INTRP)
estructura factorial
headaches headaches
pain
automatic negative thoughts (PAN)
inventory of negative thoughts in response to pain (INTRP)
factor structure

Cómo citar

Moretti , L. S., Domínguez-Lara, S., Muñoz-Navarro, R., Cano-García, J., & Medrano, L. A. (2020). Validación del inventario de pensamientos negativos en respuesta al dolor en población argentina con cefaleas primarias. Terapia Psicológica, 38(3), 283-301. https://doi.org/10.4067/S0718-48082020000300283

Resumen

Procesos cognitivos tales como pensamientos negativos son importantes moduladores de la experiencia de dolor. El Inventario de Pensamientos Negativos en Respuesta al Dolor (INTRP) es una herramienta que permite evaluar los pensamientos automáticos negativos asociados a la experiencia dolorosa. El presente trabajo se enfoca en la validación del INTRP en población argentina. Se testearon varios modelos previos, llegando al mejor ajuste el modelo de cinco factores: 1) autoverbalizaciones negativas, 2) pensamientos negativos de apoyo social, 3) pensamientos de discapacidad, 5) pensamientos de falta de control y 5) pensamientos de autoinculpación. Este modelo posee la misma estructura factorial que la hallada en la versión española, el cual posee un nivel mayor de especificidad en la detección de cogniciones asociadas al dolor. Se puede concluir que el INTRP es una herramienta confiable para su uso en el ámbito clínico que permita enfocar la terapia psicológica de argentinos con cefaleas.

https://doi.org/10.4067/S0718-48082020000300283
PDF

Citas

Aguado, J., Campbell, A., Ascaso, C., Navarro, P., Garcia-Esteve, & L., Luciano, J.V. (2012). Examining the factor structure and discriminant validity of the 12-item General Health Questionnaire (GHQ-12) among Spanish postpartum women. Assessment, 19(4): 517-25. https://doi.org/10.1177/1073191110388146

American Educational Research Association, American Psychological Association, National Council on Measurement in Education (2014). Standards for educational and psychological testing.

Beck, A. T. (2008). The evolution of the cognitive model of depression and its neurobiological correlates. American Journal of Psychiatry, 165(8), 969-977. https://doi.org/10.1176/appi.ajp.2008.08050721

Burri, A., Blank Gebre, M., & Bodenmann, G. (2017). Individual and dyadic coping in chronic pain patients. Journal of Pain Research, 10, 535–544. https://doi.org/10.2147/JPR.S128871

Cano-García, F. J., & Rodríguez-Franco, L. (2003). Pensamientos automáticos negativos en el dolor crónico. Psiquis: Revista de psiquiatría, psicología médica y psicosomática, 24(3), 35-43. https://tinyurl.com/y3kgps39

Clerke, D. & Goosen, T. (2009). The mediating effects of coping strategies in the relationship between automatic negative thoughts and depression in a clinical sample of diabetes patients. Personality and Individual Differences, 46 (4), 460-464. https://doi.org/10.1016/j.paid.2008.11.014

Comachio, J., Magalhães, M. O., Silva & Marques, A. P. (2018). A cross-sectional study of associations between kinesiophobia, pain, disability, and quality of life in patients with chronic low back pain. Advances in Rheumatology, 58(8), 2-5. https://doi.org/10.1186/s42358-018-0011-2

Dicke, T., Marsh, H. W., Riley, P., Parker, P. D., Guo, J., & Horwood, M. (2018). Validating the Copenhagen psychosocial questionnaire (COPSOQ-II) using set-ESEM: identifying psychosocial risk factors in a sample of school principals. Frontiers in psychology, 9, 584. https://doi.org/10.1186/s42358-018-0011-2

DiStefano, C., Liu, J., Jiang, N., & Shi, D. (2018). Examination of the weighted root mean square residual: Evidence for trustworthiness? Structural Equation Modeling: A Multidisciplinary Journal, 25(3), 453-466. https://doi.org/10.1080/10705511.2017.1390394

Dominguez-Lara, S. (2018). Magnitud del efecto: una guía rápida. Educación Médica, 19(4), 251 - 254. https://doi.org/10.1016/j.edumed.2017.07.002

Engevold, M. H., & Heggdal, K. (2016). Patients’ experiences with changes in perceived control in chronic illness: A pilot study of the outcomes of a new health promotion program in community health care. Scandinavian Psychologist, 3. https://doi.org/10.15714/scandpsychol.3.e5

Evans, S., Weinberg, B. A., Spielman, L., & Fishman, B. (2003). Assessing negative thoughts in response to pain among people with HIV. Pain, 105(1–2), 239–245. https://doi.org/10.1016/S0304-3959(03)00220-3

Ferrando, P.J., & Anguiano-Carrasco, C. (2010). El análisis factorial como técnica de investigación en psicología. Papeles del Psicólogo, 31(1), 18-33. https://tinyurl.com/y5o3p645

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39- 50. https://doi.org/10.2307/3151312

Gil, K. M. (1994). Behavioral assessment of sickle cell disease pain. Journal of Health &Social Policy, 5(3–4), 19–38. https://doi.org/10.1300/J045v05n03_03

Gil, K. M., Williams, D. A., Keefe, F. J., & Beckham, J. C. (1990). The relationship of negative thoughts to pain and psychological distress. Behavior Therapy, 21(3), 349–362. https://doi.org/10.1016/S0005-7894(05)80336-3

Hancock, G. R., & Muller, R. O. (2001). Rethinking construct reliability within latent variable systems. En R. Cudeck, S. H. C. du Toit & D. Sörbom (Eds.), Structural equation modeling: Past and present. A Festschrift in honor of Karl G. Jöreskog (pp. 195–261). Scientific Software International.

Hazard Vallerand, A., Crawley, J., Pieper, B. & Templin, T. N. (2016). The Perceived Control Over Pain Construct and Functional Status. Pain Medicine, 17(4), 692–703. https://doi.org/10.1111/pme.12924

ICHD-3. (2018). Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd ed. Cephalalgia, 38(1), 1–211. https://doi.org/10.1177/0333102415587704

Ingram, R. E., Atkinson, J. H., Slater, M. A., Saccuzzo, D. P., & Garfin, S. R. (1990). Negative and positive cognition in depressed and nondepressed chronic-pain patients. Health Psychology, 9(3), 300. https://doi.org/10.1037//0278-6133.9.3.300

Kianbakht, M., Ansarinia, G., & Kapourchal, S. N. (2015). The Relationship between Self-Belief, Belief in Continuity, Self-Blame, Stability, Mysterious Pain and Intensity of Chronic Pain Disorder. The International Journal of Indian Psychology, 2(4), 24-31. https://doi.org/10.1186/1471-2407-8-177

Lebedeva, E. R., Kobzeva, N. R., Gilev, D., & Olesen, J. (2016). Prevalence of primary headache disorders diagnosed according to ICHD-3 beta in three different social groups. Cephalalgia, 36(6), 579–588. https://doi.org/10.1177/0333102415596442

Litwins, N. M. (1997). The role of cognitions in pain and depression. Dissertation Abstracts International: Section B: The Sciences and Engineering. https://doi.org/10.1093/pm/pnz363

Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling, 11(3), 320-341. https://doi.org/10.1207/s15328007sem1103_2

McDonald, R.P. (1999). Test theory: A unified treatment. Mahwah, N.J.: L. Erlbaum Associates. https://doi.org/10.4324/9781410601087

Merino, C., & Charter, R. (2010). Modificación Horst al Coeficiente KR - 20 por Dispersión de la Dificultad de los Ítems. Revista Interamericana de Psicología, 44(2), 274-278. https://tinyurl.com/yxuzukrb

Merino, C., Navarro, J., & García, W. (2014). Revisión de la consistencia interna del Inventario de Inteligencia Emocional de Bar-On, EQ-I: YV. Revista Peruana de Psicología y Trabajo Social, 3(1), 141-154. https://doi.org/10.13140/2.1.2293.7284

Muthén, L. K., &Muthén, B. O. (1998-2015). Mplus User’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén

Osman, A., Bunger, S., Osman, J. R., & Fisher, L. (1993). The Inventory of Negative Thoughts in Response to Pain: Factor structure and psychometric properties in a college sample. Journal of Behavioral Medicine, 16(2), 219–224. https://doi.org/10.1007/BF00844894

Palos, R. & Viscu, L. (2014). Anxiety, automatic negative thoughts and unconditional self-acceptance in rheumatoid arthritis: a preliminary study. ISRN Rheumatology, 2014, 1-5. https://doi.org/10.1155/2014/317259

Pérez, E. & Medrano, L. (2010) Análisis Factorial Exploratorio: Bases Conceptuales y Metodológicas. Revista Argentina de Ciencias del Comportamiento, 2(1), 58-66. https://tinyurl.com/yy7ut9za

Raykov, T., & Hancock, G. R. (2005). Examining change in maximal reliability for multiple-component measuring instruments. British Journal of Mathematical and Statistical Psychology, 58(1), 65–82. https://doi.org/10.1348/000711005X38753

Simancas-Pallares, M., Arrieta, K. M., & Arévalo, L. L. (2017) Validez de constructo y consistencia interna de tres estructuras factoriales y dos sistemas de puntuación del cuestionario de salud general de 12 ítems. Biomédica 37(3): 308-14. https://doi.org/10.7705/biomedica.v37i3.3240

Stroud, M. W. (1999). The relation between pain beliefs, negative thoughts, and psychosocial functioning in chronic pain patients. Dissertation Abstracts International: Section B: The Sciences and Engineering. https://doi.org/10.1016/s0304-3959(99)00226-2

Terwee, C. B., Bot, S. D., de Boer, M. R., van der Windt, D. A., Knol, D. L., Dekker, J., ... & de Vet, H. C. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34-42. https://doi.org/10.1016/j.jclinepi.2006.03.012

Triberti, S., Repetto, C., & Riva, G. (2014). Psychological Factors Influencing the Effectiveness of Virtual Reality–Based Analgesia: A Systematic Review. Cyberpsychology, Behavior and Social Networking, 17(4), 335-345. https://doi.org/10.1089/cyber.2014.0054

Trost, Z., Vangronsveld, K., Linton, S. J., Quartana, P. J, & Sullivan, M. J. (2012). Cognitive dimensions of anger in chronic pain. Pain, 153, 515-517. https://doi.org/10.1016/j.pain.2011.10.023

Turk, D.C., Fillingim, R, B., Ohrbach, R., & Patel, K.B. (2016). Assessment of Psychosocial and Functional Impact of Chronic Pain. The Journal of Pain, 17(9), T21-T49. https://doi.org/10.1016/j.jpain.2016.02.006

Urzúa, A., Caqueo-Urízar, A., Bargsted, M., & Irarrázaval, M. (2015). ¿ Afecta la forma de puntuación la estructura factorial del GHQ-12? Estudio exploratorio en estudiantes iberoamericanos. Cadernos de Saúde Pública, 31, 1305-1312. https://doi.org/10.1590/0102-311X00122913.

Valade, D., Fontenelle, F., Roos, C., Rousseau-Salvador, C., Ducros, A., & Rusinek, S. (2012). Emotional status, perceived control of pain, and pain coping strategies in episodic and chronic cluster headache. Europe’s Journal of Psychology, 8(3), 461-474. https://doi.org/10.5964/ejop.v8i3.308

West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 209–234). Guilford Press

Wilson, J. J., Gil, K. M., & Raezer, L. (1997). Self-evaluation, coping, and depressive affect in African American adults with sickle cell disease. Cognitive Therapy and Research, 21(4), 443-457. https://doi.org/10.1023/A:1021984310786

Yoshida, T., Molton, I. R., Jensen, M. P., Nakamura, T., Arimura, T., Kubo, C., & Hosoi, M. (2012). Cognitions, metacognitions, and chronic pain. Rehabilitation Psychology, 57(3), 207. https://doi.org/10.1037/a0028903

SCImago Journal & Country Rank