Factor structure and measurement invariance of the Brief Symptom Inventory (BSI-18) in cancer patients

• Caterina Calderon ^[1] ; Pere Joan Ferrando ^[2] ; Urbano Lorenzo-Seva ^[2] ; Raquel Hernández ^[3] ; Marta Oporto-Alonso ^[4] ; Paula Jiménez-Fonseca ^[5]
  1. [1] Universitat de Barcelona

     Universitat de Barcelona

     Barcelona, España

     
  2. [2] Universitat Rovira i Virgili

     Universitat Rovira i Virgili

     Tarragona, España

     
  3. [3] Hospital Universitario de Canarias

     Hospital Universitario de Canarias

     San Cristóbal de La Laguna, España

     
  4. [4] Universitat Abat Oliba CEU

     Universitat Abat Oliba CEU

     Barcelona, España

     
  5. [5] Hospital Universitario Central de Asturias

     Hospital Universitario Central de Asturias

     Oviedo, España

     

  Mostrar afiliaciones +
• Localización: International journal of clinical and health psychology, ISSN 1697-2600, Vol. 20, Nº. 1, 2020, págs. 71-80
• Idioma: inglés
• DOI: 10.1016/j.ijchp.2019.12.001
• Títulos paralelos:
  • Estructura factorial e invarianza de medida del Brief Symptom Inventory (BSI-18) en pacientes con cáncer
• Enlaces
  • Texto completo
• Dialnet Métricas: 4 Citas
• Resumen
  • español

    Antecedentes/Objetivo: El propósito de este estudio fue evaluar las propiedades psicométricas del Brief Symptom Inventory (BSI-18), la invarianza con respecto al sexo, edad y localización del tumor, y analizar la asociación con el apoyo social y variables sociodemográficas y clínicas. Método: Se realizó un análisis factorial confirmatorio para explorar la dimensionalidad y se analizó la invarianza en función del sexo, edad y localización del tumor en una muestra prospectiva y multicéntrica de 877 pacientes que completaron el BSI-18 y la Multidimensional Scale of Perceived Social Support (MSPSS). Resultados: Tanto el modelo unifactorial como el trifactorial proporcionaron un buen ajuste a los datos; sin embargo, un modelo de segundo orden de tres factores se consideró más apropiado en esta población. Los coeficientes alfa oscilaron entre 0,75 y 0,88. Se halló una invarianza fuerte para sexo, edad y localización del tumor, y una fuerte invarianza en el tiempo. El apoyo social percibido se correlacionó negativamente con todos los factores BSI. Conclusiones: El estudio confirma la estructura tridimensional del BSI-18 y la invarianza en sexo, edad y localización del tumor. El instrumento puede recomendarse para evaluar la ansiedad, depresión y somatización en investigación epidemiológica y en la práctica clínica.

  • English

    Background/Objective: The purpose of this study was to assess psychometric properties of the Brief Symptom Inventory (BSI-18), evaluate the measurement invariance with respect to sex, age, and tumor location, and to analyze associations between social support and sociodemographic and clinical variables among individuals with resected, non-advanced cancer. Method: A confirmatory factor analysis was conducted to explore the dimensionality of the scale and test invariance across sex, age, and tumor localization in a prospective, multicenter cohort of 877 patients who completed the BSI-18 and Multidimensional Scale of Perceived Social Support (MSPSS). Results: The results show that 3-factor and 1-factor measurement models provided a good fit to the data; however, a three-factor, second-order model was deemed more appropriate and parsimonious in this population. Alpha coefficients ranged between .75 and .88. Test of measurement invariance showed strong invariance results for sex, age, and tumor location; strong invariance over time was likewise assumed. Less perceived social support appears to correlate with all BSI factors. Conclusions: The study confirmed the tridimensional structure of the BSI-18 and invariance across age, sex, and tumor localization. We recommend using this instrument to measure anxiety, depression, and somatization in epidemiological research and clinical practice.

• Referencias bibliográficas
  • Abraham, D. S., Gruber-Baldini, A. L., Harrington, D., & Shulman, L. M. (2017). The factor structure of the Brief Symptom Inventory-18...
  • Andreu, Y., Galdón, M. J., Dura, E., Ferrando, M., Murgui, S., García, A., & Ibáñez, E. (2008). Psychometric properties of the Brief Symptoms...
  • Bao, Y., Li, L., Guan, Y., Liu, Y., Wang, W., Zhao, D., Tao, S., Ling, Y., Wang, Y., Bi, B., Wu, A., & Cao, L. (2019). Is the relationship...
  • Calderon, C., Jiménez-Fonseca, P., Ferrando, P. J., Jara, C., Lorenzo-Seva, U., Beato, C., Ramchandani, A., Muñoz, M. M., Martinez de Castro,...
  • Carretero-Dios, H., & Pérez, C. (2007). Standards for the development and review of ins- trumental studies: Considerations about test...
  • Chao, R. C.-L., Green, K., Dugar, K., Paiko, L., Zhao, J., & Li, P. F. (2019). Rasch analysis of the brief symptom Inventory-18 with african...
  • Derogatis, L. R. (1993). Brief Symptom Inventory (BSI): Administration, scoring and procedures manual. Minneapolis: NCS Pearson, Inc.
  • Derogatis, L. R. (1994). Symptom checklist-90-revised (SCL-90-R): Administration, scoring and proecudres (3er ed.). Minneapolis: NCS Pearson,...
  • Derogatis, L. R. (2001). BSI 18, Brief Symptom Inventory 18: Administration, scoring and procedures manual. Minneapolis: NCS Pearson, Inc.
  • Ferrando, P. J., & Lorenzo-Seva, U. (2014). Exploratory item factor analysis: Additional considerations. Anales de Psicología, 30, 1170---1175.
  • Ferrando, P. J., & Lorenzo-Seva, U. (2017). Assessing the quality and appropriateness of factor solutions and factor score estimates in...
  • Ferrando, P. J., & Lorenzo-Seva, U. (2019). On the added value of multiple factor score estimates in essentially unidimensional models....
  • Galdón, M. J., Durá, E., Andreu, Y., Ferrando, M., Murgui, S., Pérez, S., & Ibañez, E. (2008). Psychometric properties of the Brief Symptom...
  • Hair, J. F., Black, W. C., & Babin, B. J. (2010). RE anderson multivariate data analysis: A global perspective. New Jersey, NJ: Pearson...
  • Hill, E. M., & Hamm, A. (2019). Intolerance of uncertainty, social support, and loneliness in relation to anxiety and depressive symptoms...
  • Jimenez-Fonseca, P., Calderón, C., Hernández, R., Ramón Y Cajal, T., Mut, M., Ramchandani, A., Donnay, O., & Carmona- Bayonas, A. (2018)....
  • Kuba, K., Weißflog, G., Götze, H., García-Torres, F., Mehnert, A., & Esser, P. (2019). The relationship between acceptance, fatigue, and...
  • Lancaster, M. A., McCrea, M. A., & Nelson, L. D. (2016). Psychometric properties and normative data for the Brief Symptom Inventory-18...
  • Li, M., Wang, M.-C., Shou, Y., Zhong, C., Ren, F., Zhang, X., & Yang, W. (2018). Psychometric properties and measurement invariance of...
  • Lorenzo-Seva, U., & Ferrando, P. J. (2013). FACTOR 9.2: A comprehensive program for fitting exploratory and semiconfirmatory factor analysis...
  • Lorenzo-Seva, U. (1999). Promin: A method for oblique factor rotation. Multivariate Behavioral Research, 34(3), 347---365.
  • Meijer, R. R., de Vries, R. M., & van Bruggen, V. (2011). An evaluation of the Brief Symptom Inventory---18 using item response theory:...
  • Millsap, R. E., & Meredith, W. (2007). Factorial invariance: Historical perspectives and new problems. In R. Cudeck, & R. C. MacCallum...
  • Muthén, L. K., & Muthén, B. O. (2004). Mplus user’s guide: Statistical analysis with latent variables: User’ss guide. Muthén & Muthén.
  • Ramos-Álvarez, M. M., Moreno-Fernández, M. M., Valdés-Conroy, B., & Catena, A. (2008). Criteria of the peer review process for publication...
  • Recklitis, C. J., Blackmon, J. E., & Chang, G. (2017). Validity of the Brief Symptom Inventory-18 (BSI-18) for identifying depression...
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and...
  • Shin, W., Song, S., Jung, S. Y., Lee, E., Kim, Z., Moon, H.-G., Noh, D. Y., & Lee, J. E. (2017). The association between physical activity...
  • Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological...
  • Torres, L., Miller, M. J., & Moore, K. M. (2013). Factorial invariance of the Brief Symptom Inventory-18 (BSI-18) for adults of Mexican...
  • von Brachel, R., Bieda, A., Margraf, J., & Hirschfeld, G. (2018). Longitudinal measurement invariance of the brief symptom inventory (BSI)-18...
  • Wang, J., Kelly, B. C., Booth, B. M., Falck, R. S., Leukefeld, C., & Carlson, R. G. (2010). Examining factorial structure and measurement...
  • Wiesner, M., Chen, V., Windle, M., Elliott, M. N., Grunbaum, J. A., Kanouse, D. E., & Schuster, M. A. (2010). Factor structure and psychometric...
  • Zabora, J., Brintzenhofeszoc, K., Jacobsen, P., Curbow, B., Piantadosi, S., Hooker, C., Owens, A., & Derogatis, L. (2001). A new psychosocial...
  • Zimet, G. D., Powell, S. S., Farley, G. K., Werkman, S., & Berkoff, K. A. (1990). Psychometric characteristics of the multidimensional...
  • Zumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert rating scales. Journal...