Validation of the Fatigue Severity Scale in general population of Mexico City
DOI:
https://doi.org/10.35670/1667-4545.v17.n2.18725Keywords:
fatiga, medición, validación psicométrica, invarianza, sexoAbstract
Reliable and valid ways to measure fatigue are required in order to determine its prevalence and consequences. One of the methods widely used to measure fatigue is the Fatigue Severity Scale (FSS; Krupp, LaRocca, Muir-Nash, & Steinberg, 1989). Thus, the purpose of this study was to validate this scale psychometrically in a culturally relevant manner, to identify whether its structure is the most appropriate through a confirmatory factor analysis, and to test the invariance by sex. Two groups of participants, inhabitants of Mexico City, were included in the present study, 150 for validation studies, and 220 for confirmatory factor analysis and invariance test studies. A structure with six items, ade-quate reliability (α = .93), goodness of fit [χ2(9) = 12.56, p = .183; CF1 = .99; RMSEA = .05] and invariance by sex was found. So, it is concluded that FSS is a reliable and valid measure of fatigue.
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Ali, M. R., Khaleque, A., Khanam, M., Al-Shatti, A., & Ahmed, R. U. (1994). Critical flicker frequency of mentally retarded and normal persons. Perceptual and Motor Skills, 79(3), 1235-1238. doi: 10.2466/pms.1994.79.3.1235
Armutlu, K., Keser, İ., Korkmaz, N., Akbıyık, D. İ., Sümbüloğlu, V., Güney, Z., & Karabudak, R. (2007). Psychometric study of Turkish version of Fatigue Impact Scale in multiple sclerosis patients. Journal of the Neurological Sciences, 255(1-2), 64-68. doi: 10.1016/j.jns.2007.01.073
Bernal-Vargas, L., Riveros-Munévar, F., Vinaccia-Alpi, S., & Quiceno-Sierra, J. M. (2017). Estructura factorial y consistencia interna de la Escala de Severidad de Fatiga en población colombiana con enfermedades crónicas. Enfermería Global, 16(2), 37. doi: 10.6018/eglobal.16.2.255821
Beurskens, A. J., Bültmann, U., Kant, I., Vercoulen, J. H., Bleijenberg, G., & Swaen, G. M. (2000). Fatigue among working people: Validity of a questionnaire measure. Occupational and Environmental Medicine, 57(5), 353-357. Recuperado de https://www.ncbi.nlm.nih.gov/pubmed/10769302
Chalder, T., Berelowitz, G., Pawlikowska, T., Watts, L., Wessely, S., Wright, D., & Wallace, E. P. (1993). Development of a fatigue scale. Journal of Psychosomatic Research, 37(2), 147-53. Recuperado de https://www.ncbi.nlm.nih.gov/pubmed/8463991
Cohen, F. (1979). Personality, stress, and the develop ment of physical illness. En G. C. Stone, F. Cohen, N. E. Adler & Associates. Health Psychology - A Handbook. Theories, applications, and challenges of a psychological approach to the healthcare system (pp. 1-32). San Francisco: Jossey Bass.
De Croon, E. M. (2006). Psychometric properties of the Need for Recovery After Work Scale: Test-retest reliability and sensitivity to detect change. Occupational and Environmental Medicine, 63(3), 202-206. doi: 10.1136/oem.2004.018275
DeShon, R. P. (2004). Measures are not invariant across groups without error variance homogeneity. Psychology Science, 46(1), 137-149. Recuperado de http://www.pabst-publishers.de/psychology-science/1-2004/abstract_08.html
Díaz-Guerrero, R. (2003). Psicología del Mexicano (6ª re-imp.). México: Trillas.
Duarte-Ayala, R. E. (2017). Fatiga, estilos de enfrentamien-to y calidad de vida en médicos residentes (Tesis doctoral). Universidad Nacional Autónoma de México, Facultad de Psicología, México. Recuperado de http://132.248.9.195/ptd2017/junio/513011441/Index.html
Duarte-Ayala, R. E., Velasco-Rojano, Á. E., Sánchez-Sosa, J. J., & Reyes-Lagunes, L. I. (2017). Adaptación y validación de la Escala de Impacto de Fatiga. Acta de Investigación Psicológica, 7(1), 2585-2592. doi: 10.1016/j.aipprr.2017.02.002
Duarte, R. E., Velasco, A. E., & Reyes-Lagunes, L. I. (2016). Validación psicométrica de la Escala de Gravedad de Fatiga. En C. Gómez, J. E. Hernández-Sánchez, R. Díaz-Loving, L. I. Reyes-Lagunes & S. Rivera (Eds.), Aportaciones Actuales de la Psicología Social. Volumen III. (pp. 103-111) Tabasco, México: Asociación Mexicana de Psicología Social AMEPSO. Universidad Autónoma Juárez de Tabasco.
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272-299. doi: 10.1037/1082-989x.4.3.272
Fuentes-Márquez, S., Senín-Calderón, C., Rodríguez-Testal, J. F., & Carrasco, M. A. (2015). Perceived experience of fatigue in clinical and general popula-tion: Descriptors and associated reactivities. Spanish Journal of Psychology, 18(9), 1-8. doi: 10.1017/sjp.2015.11
Gök, K., Cengiz, G., Erol, K., & Özgöçmen, S. (2016). The Turkish Version of Multidimensional Assessment of Fatigue and Fatigue Severity Scale is reproducible and correlated with other outcome measures in patients with systemic sclerosis. Archives of Rheumatology, 31(4), 329-332. doi: 10.5606/ArchRheumatol.2016.5909
Gottschalk, M., Kümpfel, T., Flachenecker, P., Uhr, M., Trenkwalder, C., Holsboer, F., & Weber, F. (2005). Fatigue and regulation of the hypothalamo-pituitary-adrenal axis in multiple sclerosis. Archives of Neurology, 62(2), 277-280. doi: 10.1001/archneur.62.2.277
Instituto Nacional de Desórdenes Neurológicos y Accidentes Vasculares [NINDS] (2002). Esclerosis Múltiple: Esperanza en la Investigación. Bethesda, Maryland: Departamento de Salud y Servicios Humanos de los Estados Unidos. Recuperado de https://espanol.ninds.nih.gov/trastornos/span_esclerosis.pdf
Jackson, D. L. (2003). Revisiting sample size and number of parameter estimates: Some support for the N:q hypothesis. Structural Equation Modeling, 10(1), 128-141. doi: 10.1207/S15328007SEM1001_6
Johansson, S., Kottorp, A., Lee, K. A., Gay, C. L., & Lerdal, A. (2014). Can the Fatigue Severity Scale 7-item version be used across different patient populations as a generic fatigue measure –A comparative study using a Rasch model approach. Health Quality of Life Outcomes,12(1), 24. doi: 10.1186/1477-7525-12-24
Kenny, D. A., & Milan, S. (2012). Identification: A nontechnical discussion of a technical issue. En R. H. Hoyle (Ed.), Handbook of Structural Equation Modeling(pp. 145-163). New York: Guilford Press.
Kos, D., Kerckhofs, E., Carrea, I., Verza, R., Ramos, M., & Jansa, J. (2005). Evaluation of the Modified Fatigue Impact Scale in four different European countries. Multiple Sclerosis, 11(1), 76-80. doi: 10.1191/1352458505ms1117oa
Kline, R. (2016). Principles and practice of structural equation modeling (4ª ed.). New York, NY: The Guilford Press.
Krupp, L. B., LaRocca, N. G., Muir-Nash, J., & Steinberg, D. (1989). The Fatigue Severity Scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Archives of Neurology, 46(10), 1121-1123. doi: 10.1001/archneur.1989.00520460115022
Lerdal, A., & Kottorp, A. (2011). Psychometric properties of the Fatigue Severity Scale—Rasch analyses of individual responses in a Norwegian stroke cohort. International Journal of Nursing Studies, 48(10), 1258-1265. doi: 10.1016/j.ijnurstu.2011.02.019
Lerdal, A., Kottorp, A., Gay, C., Aouizerat, B. E., Portillo, C. J., & Lee, K. A. (2011). A 7-item version of the Fatigue Severity Scale has better psychometric properties among HIV-infected adults: An application of a Rasch model. Quality of Life Research, 20(9), 1447-1456. doi: 10.1007/s11136-011-9877-8
MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210. doi: 10.1207/s15327906mbr3202_5
MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111(3), 490-504. Recuperado de http://www.apa.org/pubs/journals/bul
Magnusson, D. (1998). Teoría de los tests. México: Trillas.
Malta-Purim, K. S., Bittencourt-Gumarães, A. T., Kapp-Titski, A. C., & Leite, N. (2016). Sleep deprivation and drowsiness of medical residents and medical students. A Revista do Colégio de Cirurgiões, 43(6), 438-444. doi: 10.1590/0100-69912016006005
Millsap, R. E., & Olivera-Aguilar, M. (2012). Investigating measurement invariance using confirmatory factor analysis. En R. H. Hoyle (Ed.), Handbook of Structural Equation Modeling (pp. 380-392). New York, NY: Guilford Press.
Montero, I., & León, O. G. (2007). A guide for naming re-search studies in Psychology. International Journal of Clinical and Health Psychology, 7(3), 847-862.
Neisa, C., Tangarife, A., & Godoy, L. (2014). Variables moderadoras de la relación fatiga laboral y accidentes de trabajo en personal operativo. En J. Orejuela (Ed.), Psicología de las Organizaciones y del Trabajo (pp. 429-446). Cali: Editorial Bonaventuriana.
Nunnally, J. C., & Bernstein, I. H. (1994). Teoría psicométrica. McGraw-Hill: New York.
Oncu, J., Atamaz, F., Durmaz, B., & On, A. (2013). Psychometric properties of Fatigue Severity and Fatigue Impact Scales in postpolio patients. International Journal of Rehabilitation Research, 36(4), 339-345. doi: 10.1097/mrr.0b013e3283646b56
Orrantia-Daniel, M. C. G., & De la Vega-Bustillos, E. (2003). Trabajo, fatiga, calidad y productividad. IV Congreso Nacional de Estudios del Trabajo. Colegio de Sonora. Hermosillo, Sonora. Recuperado de http://www.izt.uam.mx/sotraem/Documentos/Documentos/Amet2003/templates/res/tema%209/GILBERTO%20ORRANTIA-ENRIQUE%20DE%20LA%20VEGA.pdf
Ottonello, M., Pellicciari, L., Giordano, A., & Foti, C. (2016). Rasch analysis of the Fatigue Severity Scale in Italian subjects with multiple sclerosis. Journal of Rehabilitation Medicine, 48(7), 597-603. doi: 10.2340/16501977-2116
Reyes-Lagunes, L. I. (1993). Las redes semánticas naturales, su conceptualización y su utilización en la construcción de instrumentos. Revista de Psicología Social y Personalidad, 9(1), 81-97.
Reyes-Lagunes, L. I., & García y Barragán, L. F. (2008). Procedimiento de validación psicométrica culturalmente relevante: Un ejemplo. En S. Rivera-Aragón, R. Díaz-Loving, R. Sánchez-Aragón & L. I. Reyes-Lagunes (Eds.), La Psicología Social en México. Vol. XII (pp. 625-636). México: Asociación Mexicana de Psicología Social.
Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1-36. doi: 10.18637/jss.v048.i02
Schmitt, T. A. (2011). Current methodological considera-tions in exploratory and confirmatory factor analysis. Journal of Psychoeducational Assessment, 29(4), 304-321. doi: 10.1177/0734282911406653
Torres-Harding, S. R., Jason, L. A., & Taylor, R. R. (2002). Fatigue severity, attributions, medical utilization, and symptoms in persons with chronic fatigue. Journal of Behavioral Medicine, 25(2), 99-113. Recuperado de https://link.springer.com/article/10.1023/A:1014850819995
Torres-Harding, S. R., Mason-Shutter, J., & Jason, L. A. (2008). Fatigue Among Spanish- and English-Speaking Latinos. Social Work in Public Health, 23(5), 55-72. doi: 10.1080/19371910802053232
Useche, S., Cendales, B., & Gómez, V. (2017). Measuring fatigue and its associations with job stress, health and traffic accidents in professional drivers: The case of BRT operators. EC Neurology, 4(4), 103-118.
Van’t Leven, M., Zielhuis, G. A., Van der Meer, J. W., Verbeek, A. L., & Bleijenberg, G. (2009). Fatigue and chronic fatigue syndrome-like complaints in the general population. European Journal of Public Health, 20(3), 251-257. doi: 10.1093/eurpub/ckp113
Viner, R., & Christie, D. (2005). Fatigue and somatic symptoms. British Medical Journal, 330, 1012-1015. doi: 10.1136/bmj.330.7498.1012
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. En R. H. Hoyle (Ed.), Handbook of Structural Equation Modeling (pp. 209-231). New York: Guilford Press.
Whitehead, L. (2009). The measurement of fatigue in chronic illness: A systematic review of unidimensional and multidimensional fatigue measures. Journal of Pain and Symptom Management, 37(1), 107-128. doi: 10.1016/j.jpainsymman.2007.08.019
Yoshitake, H. (1971). Three characteristic patterns of subjective fatigue symptoms. Ergonomics, 21(3), 231-233. doi: 10.1080/00140137108931236
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