Psychometric Properties of the PCS and the PCS-4 in Individuals With Musculoskeletal Pain

  1. Claudio Bascour-Sandoval 1
  2. Javier Albayay 2
  3. Agustín Martínez-Molina 3
  4. Arlett Opazo-Sepúlveda 4
  5. Claudia Lacoste-Abarzúa 4
  6. Diego Bielefeldt-Astudillo 4
  7. Rubén Gajardo-Burgos 5
  8. Germán Galvéz-García 1
  1. 1 Universidad de La Frontera (Chile)
  2. 2 Università degli Studi di Trento (Italy)
  3. 3 Universidad Autónoma de Madrid
    info

    Universidad Autónoma de Madrid

    Madrid, España

    ROR https://ror.org/01cby8j38

  4. 4 Universidad Autónoma de Chile (Chile)
  5. 5 Universidad Austral de Chile (Chile)
Mostrar afiliaciones +
Revista:
Psicothema

ISSN: 0214-9915,  1886-144X

Año de publicación: 2022

Volumen: 34

Número: 2

Páginas: 323-331

Tipo: Artículo

DOI: 10.7334/PSICOTHEMA2021.21 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Psicothema

Resumen

Antecedentes: la estructura factorial de la Escala de Catastrofización del Dolor (PCS) rara vez se ha analizado adecuadamente. El objetivo de este estudio fue evaluar las propiedades psicométricas del PCS a través de diferentes enfoques factoriales exploratorios y confirmatorios. Método: se incluyeron trescientos noventa y cuatro pacientes chilenos con dolor musculoesquelético (edad, M=49,61; DE=18,00; 71,57% mujeres). Se propusieron ocho modelos factoriales. Asimismo, se analizó la evidencia de validez de la PCS basada en relaciones con otras variables considerando la intensidad del dolor y la kinesiofobia. Resultados: los resultados sugieren una estructura unidimensional. Los modelos con más de una dimensión mostraron cargas factoriales o índices de ajuste inadecuados. A partir de estos resultados se propone una versión corta de la escala compuesta por 4 ítems (PCS-4). Las puntuaciones de PCS-4 mostraron altos niveles de invarianza entre sexos, cronicidad del dolor y niveles educativos. La PCS-4 también se asoció con otras medias de dolor y kinesiofobia. Conclusiones: los resultados de la PCS-4 versión en español mostraron evidencia de fiabilidad y validez para medir adecuadamente el catastrofismo del dolor en chilenos con dolor musculoesquelético. El PCS-4 es una forma corta que debería explorarse en estudios futuros (por ejemplo, en otras poblaciones hispanoparlantes).

Referencias bibliográficas

  • Bascour-Sandoval, C., Salgado-Salgado, S., Gómez-Milán, E., Fernández-Gómez, J., Michael, G. A., & Gálvez-García, G. (2019). Pain and Distraction According to Sensory Modalities: Current Findings and Future Directions. Pain Practice: The Offi cial Journal of World Institute of Pain, 19(7), 686-702. https://doi.org/10.1111/papr.12799
  • Blyth, F. M., Briggs, A. M., Schneider, C. H., Hoy, D. G., & March, L. M. (2019). The global burden of musculoskeletal pain-where to from here? American Journal of Public Health, 109(1), 35-40. https://doi.org/10.2105/AJPH.2018.304747
  • Burns, L. C., Ritvo, S. E., Ferguson, M. K., Clarke, H., Seltzer, Z., & Katz, J. (2015). Pain catastrophizing as a risk factor for chronic pain after total knee arthroplasty: A systematic review. Journal of Pain Research, 8(1), 21-32. https://doi.org/10.2147/JPR.S64730
  • Campbell, C. M., & Edwards, R. R. (2012). Ethnic differences in pain and pain management. Pain Management, 2(3), 219-230. https://doi.org/10.2217/pmt.12.7
  • Cohen, J. (2013). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge. https://doi.org/10.4324/9780203771587
  • Cook, K. F., Mackey, S., Jung, C., & Darnall, B. D. (2021). The factor structure and subscale properties of the pain catastrophizing scale: Are there differences in the distinctions? Pain Reports, 6(1), e909. https://doi.org/10.1097/PR9.0000000000000909
  • Darnall, B. D., Sturgeon, J. A., Cook, K. F., Taub, C. J., Roy, A., Burns, J. W., Sullivan, M., & Mackey, S. C. (2017a). Development and Validation of a Daily Pain Catastrophizing Scale. The Journal of Pain, 18(9), 1139-1149. https://doi.org/10.1016/j.jpain.2017.05.003
  • Day, M. A., & Thorn, B. E. (2010). The relationship of demographic and psychosocial variables to pain-related outcomes in a rural chronic pain population. Pain, 151(2), 467-474. https://doi.org/10.1016/j.pain.2010.08.015
  • Eberhard, D. M., Simons, G. F., & Fennig, C. D. (Eds.) (2020). Ethnologue: Languages of the World (23rd ed.). SIL International. http://www.ethnologue.com
  • García, J., Rodero, B., Alda, M., Sobradiel, N., Montero, J., & Moreno, S. (2008). Validation of the Spanish version of the Pain Catastrophizing Scale in fibromyalgia. Medicina Clínica, 131(13), 487-492. https://doi.org/10.1157/13127277
  • Garrido, L. E., Abad, F. J., & Ponsoda, V. (2013). A new look at Horn’s parallel analysis with ordinal variables. Psychological Methods, 18(4), 454-474. https://doi.org/10.1037/a0030005
  • Gómez-Pérez, L., López-Martínez, A. E., & Ruiz-Párraga, G. T. (2011). Psychometric properties of the spanish version of the Tampa Scale for Kinesiophobia (TSK). Journal of Pain, 12(4), 425-435. https://doi.org/10.1016/j.jpain.2010.08.004
  • Hancock, G. R., Hancock, G. R., Mueller, R. O., Stapleton, L. M., & Mueller, R. O. (Eds.) (2010). The Reviewer’s Guide to Quantitative Methods in the Social Sciences (1st ed.). Routledge. https://doi.org/10.4324/9780203861554
  • Ikemoto, T., Hayashi, K., Shiro, Y., Arai, Y., Marcuzzi, A., Costa, D., & Wrigley, P. (2020). A systematic review of cross-cultural validation of the pain catastrophizing scale. European Journal of Pain, 24(7), 1228-1241. https://doi.org/10.1002/ejp.1587
  • JASP Team (2020). JASP (0.14). [Computer software]. https://jasp-stats.org/
  • Khan, R. S., Ahmed, K., Blakeway, E., Skapinakis, P., Nihoyannopoulos, L., Macleod, K., Sevdalis, N., Ashrafian, H., Platt, M., Darzi, A.,& Athanasiou, T. (2011). Catastrophizing: A predictive factor for postoperative pain. The American Journal of Surgery, 201(1), 122-131. https://doi.org/10.1016/j.amjsurg.2010.02.007
  • Kruyen, P. M., Emons, W. H. M., & Sijtsma, K. (2014). Assessing individual change using short tests and questionnaires. Applied Psychological Measurement, 38(3), 201-216. https://doi.org/10.1177/0146621613510061
  • Leeuw, M., Goossens, M. E. J. B., Linton, S. J., Crombez, G., Boersma, K., & Vlaeyen, J. W. S. (2007). The Fear-Avoidance Model of Musculoskeletal Pain: Current State of Scientific Evidence. Journal of Behavioral Medicine, 30(1), 77-94. https://doi.org/10.1007/s10865-006-9085-0
  • Lorenzo-Seva, U., & Ferrando, P. J. (2013). FACTOR 9.2 A Comprehensive Program for Fitting Exploratory and Semiconfirmatory Factor Analysis and IRT Models. Applied Psychological Measurement, 37(6), 497-498. https://doi.org/10.1177/0146621613487794
  • Martínez-Molina, A., & Arias, V. B. (2018). Balanced and positively worded personality short-forms: Mini-IPIP validity and cross-cultural invariance. PeerJ, 6, e5542. https://doi.org/10.7717/peerj.5542
  • Mellenbergh, G. J. (1996). Measurement precision in test score and item response models. Psychological Methods, 1(3), 293-299. https://doi.org/10.1037/1082-989X.1.3.293
  • Monticone, M., Baiardi, P., Ferrari, S., Foti, C., Mugnai, R., Pillastrini, P., Rocca, B., & Vanti, C. (2012). Development of the Italian version of the Pain Catastrophising Scale (PCS-I): Cross-cultural adaptation, factor analysis, reliability, validity and sensitivity to change. Quality of Life Research, 21(6), 1045-1050. https://doi.org/10.1007/s11136-011-0007-4
  • Moore, E., Thibault, P., Adams, H., & Sullivan, M. J. L. (2016). Catastrophizing and pain-related fear predict failure to maintain treatment gains following participation in a pain rehabilitation program. Pain Reports, 1(2), e567. https://doi.org/10.1097/PR9.0000000000000567
  • Moshagen, M., & Musch, J. (2014). Sample Size Requirements of the Robust Weighted Least Squares Estimator. Methodology, 10(2), 60-70. https://doi.org/10.1027/1614-2241/a000068
  • Muñiz, J., & Fonseca-Pedrero, E. (2019). Ten steps for test development. Psicothema, 31(1), 7-16. https://doi.org/10.7334/psicothema2018.291
  • Muthén, L. K., & Muthén, B. O. (2015). Mplus (Seventh). Muthén & Muthén.
  • Olmedilla, A., Ortega Toro, E., & Abenza Cano, L. (2013). Validation of the Pain Catastrophizing Scale in Spanish athletes. Cuadernos de Psicología Del Deporte, 13(1), 83-94. https://doi.org/10.4321/S1578-84232013000100009
  • Raja, S. N., Carr, D. B., Cohen, M., Finnerup, N. B., Flor, H., Gibson, S., Keefe, F. J., Mogil, J. S., Ringkamp, M., Sluka, K. A., Song, X.-J., Stevens, B., Sullivan, M. D., Tutelman, P. R., Ushida, T., & Vader, K. (2020). The revised International Association for the Study of Pain definition of pain: Concepts, challenges, and compromises. Pain, 161(9), 1976-1982. https://doi.org/10.1097/j.pain.0000000000001939
  • Salvador, E. M. E. S., Franco, K. F. M., Miyamoto, G. C., Franco, Y. R. dos S., & Cabral, C. M. N. (2020). Analysis of the measurement properties of the Brazilian-Portuguese version of the Tampa Scale for Kinesiophobia-11 in patients with fibromyalgia. Brazilian Journal of Physical Therapy, 25(2), 168-174. https://doi.org/10.1016/j.bjpt.2020.05.004
  • Schreiber, J. B. (2017). Update to core reporting practices in structural equation modeling. Research in Social and Administrative Pharmacy, 13(3), 634-643. https://doi.org/10.1016/j.sapharm.2016.06.006
  • Schütze, R., Rees, C., Smith, A., Slater, H., Campbell, J. M., & O’Sullivan, P. (2018). How can we best reduce pain catastrophizing in adults with chronic noncancer pain? A systematic review and meta-analysis. The Journal of Pain, 19(3), 233-256. https://doi.org/10.1016/j.jpain.2017.09.010
  • Sehn, F., Chachamovich, E., Vidor, L. P., Dall-Agnol, L., Custódio de Souza, I. C., Torres, I. L. S., Fregni, F., & Caumo, W. (2012). Cross-Cultural Adaptation and Validation of the Brazilian Portuguese Version of the Pain Catastrophizing Scale. Pain Medicine, 13(11), 1425-1435. https://doi.org/10.1111/j.1526-4637.2012.01492.x
  • Shen, B., Wu, B., Abdullah, T. B., Zhan, G., Lian, Q., Vania Apkarian, A., & Huang, L. (2018). Translation and validation of Simplified Chinese version of the Pain Catastrophizing Scale in chronic pain patients: Education may matter. Molecular Pain, 14, 174480691875528. https://doi.org/10.1177/1744806918755283
  • Shi, D., DiStefano, C., McDaniel, H. L., & Jiang, Z. (2018). Examining Chi-Square Test Statistics Under Conditions of Large Model Size and Ordinal Data. Structural Equation Modeling: A Multidisciplinary Journal, 25(6), 924-945. https://doi.org/10.1080/10705511.2018.1449653
  • Size, M., Soyannwo, O. A., & Justins, D. M. (2007). Pain management in developing countries. Anaesthesia, 62(s1), 38-43. https://doi.org/10.1111/j.1365-2044.2007.05296.x
  • Sullivan, M. J. L., Bishop, S. R., & Pivik, J. (1995). The Pain Catastrophizing Scale: Development and validation. Psychological Assessment, 7(4), 524-532. https://doi.org/10.1037/1040-3590.7.4.524
  • Sullivan, M. J. L., Thorn, B., Haythornthwaite, J. A., Keefe, F., Martin, M., Bradley, L. A., & Lefebvre, J. C. (2001). Theoretical Perspectives on the Relation Between Catastrophizing and Pain. The Clinical Journal of Pain, 17(1), 52-64. https://doi.org/10.1097/00002508-200103000- 00008
  • Suso-Ribera, C., García-Palacios, A., Botella, C., & Ribera-Canudas, M. V. (2017). Pain Catastrophizing and Its Relationship with Health Outcomes: Does Pain Intensity Matter? Pain Research and Management, 2017, 1-8. https://doi.org/10.1155/2017/9762864
  • Treede, R.-D., Rief, W., Barke, A., Aziz, Q., Bennett, M. I., Benoliel, R., Cohen, M., Evers, S., Finnerup, N. B., First, M. B., Giamberardino, M. A., Kaasa, S., Korwisi, B., Kosek, E., Lavandʼhomme, P., Nicholas, M., Perrot, S., Scholz, J., Schug, S., … Wang, S.-J. (2019). Chronic pain as a symptom or a disease: The IASP classification of chronic pain for the International Classification of Diseases (ICD-11). Pain, 160(1), 19-27. https://doi.org/10.1097/j.pain.0000000000001384
  • Wertli, M. M., Burgstaller, J. M., Weiser, S., Steurer, J., Kofmehl, R., & Held, U. (2014). Influence of catastrophizing on treatment outcome in patients with nonspecific low back Pain: A systematic review. Spine, 39(3), 263-273. https://doi.org/10.1097/BRS.0000000000000110
  • Widaman, K. F. (2007). Common factors versus components: Principals and principles, errors and misconceptions. In R. Cudeck & R. C. MacCallum (Eds.), Factor analysis at 100: Historical developments and future directions (pp. 177-203). Lawrence Erlbaum Associates Publishers.
  • World Bank Group (2020). The World Bank. World Bank Data. https://data. worldbank.org/?locations=CL-US-ES
Fuente de los datos: Dialnet