Medición de la hipocondría con el Short Health Anxiety Inventory: propiedades psicométricas en estudiantes universitarios colombianos
Measuring Hypochondria with Short Health Anxiety Inventory: Psychometric Properties in Colombian University Students
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
Mostrar biografía de los autores
Introducción. El Short Health Anxiety Inventory es una herramienta común para evaluar la ansiedad relacionada con la salud, pero sus propiedades psicométricas y estructura interna no han sido evaluadas en una población latinoamericana de habla hispana. Este estudio tuvo como objetivo establecer las propiedades psicométricas en estudiantes universitarios colombianos.
Método. Se evaluó la bondad de ajuste de cuatro modelos de estructura latente del Short Health Anxiety Inventory, mediante análisis factorial confirmatorio, en una muestra de 1004 estudiantes universitarios colombianos.
Resultados. La estructura no se ajusta al modelo original (CFI = .808; RMSEA = .074) y la confiabilidad fue de .796 y .703 para las dos variables originales.
Conclusiones. Los resultados no respaldan el uso de la versión colombiana del Short Health Anxiety Inventory entre estudiantes universitarios colombianos, tanto para investigadores como para clínicos.
Visitas del artículo 360 | Visitas PDF 72
- American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5-TR 5th ed. Washington D.C.: The Association; 2022. 1142 p.
- Salkovskis PM, Rimes KA, Warwick HMC, Clark DM. The Health Anxiety Inventory: development and validation of scales for the measurement of health anxiety and hypochondriasis. Psychol Med [Internet]. 2002;32(5): 843-53. doi: https://doi.org/10.1017/S0033291702005822
- Arnáez S, García-Soriano G, López-Santiago J, Belloch A. The Spanish validation of the Short Health Anxiety Inventory: Psychometric properties and clinical utility. Int J Clin Health Psychol [Internet]. 2019; 19(3): 251-60. doi: https://doi.org/10.1016/j.ijchp.2019.05.003
- Alberts NM, Hadjistavropoulos HD, Jones SL, Sharpe D. The Short Health Anxiety Inventory: A systematic review and meta-analysis. J Anxiety Disord [Internet]. 2013;27(1):68-78. doi: https://doi.org/10.1016/j.janxdis.2012.10.009
- Morales A, Reis S, Espada JP, Orgilés M. Portuguese validation of the Short Health Anxiety Inventory: Factor structure, reliability, and factor invariance. J Health Psychol [Internet]. 2018;23(14):1872-83. doi: https://doi.org/10.1177/1359105316669859
- Wheaton MG, Berman NC, Franklin JC, Abramowitz JS. Health Anxiety: Latent Structure and Associations with Anxiety-related Psychological Processes in a Student Sample. J Psychopathol Behav Assess [Internet]. 2010;32:565-74. doi: https://doi.org/10.1007/s10862-010-9179-4
- Alberts NM, Sharpe D, Kehler MD, Hadjistavropoulos HD. Health anxiety: Comparison of the latent structure in medical and non-medical samples. J Anxiety Disord [Internet]. 2011;25(4):612-4. doi: https://doi.org/10.1016/j.janxdis.2011.01.011
- Spielberger CD, Reheiser EC. Measuring anxiety, anger, depression, and curiosity as emotional states and personality traits with the STAI, STAXI and STPI. In: Hilsenroth MJ, Segal DL, editors. Comprehensive handbook of psychological assessment, Vol. 2: Personality assessment. Hoboken: John Wiley & Sons, Inc.; 2004. p. 70-86.
- Montero I, Leon O. A guide for naming research studies in Psychology. Int J Clin Health Psychol [Internet]. 2007;7(3): 847-62. Available from: http://www.aepc.es/ijchp/articulos.php?coid=Espa%EF%BF%BDol&id=256
- Abramowitz JS, Deacon BJ, Valentiner DP. The Short Health Anxiety Inventory: Psychometric Properties and Construct Validity in a Non-clinical Sample. Cognit Ther Res [Internet]. 2007;31(6):871-83. doi: https://doi.org/10.1007/s10608-006-9058-1
- Forero CG, Maydeu-Olivares A, Gallardo-Pujol D. Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation. Struct Equ Modeling [Internet]. 2009;16(4):625-41. doi: https://doi.org/10.1080/10705510903203573
- Mîndrilă D. Maximum Likelihood (ML) and Diagonally Weighted Least Squares (DWLS) Estimation Procedures: A Comparison of Estimation Bias with Ordinal and Multivariate Non-Normal Data. International Journal for Digital Society [Internet]. 2010;1(1):60-66. doi: https://doi.org/10.20533/ijds.2040.2570.2010.0010
- Schubert A-L, Hagemann D, Voss A, Bergmann K. Evaluating the model fit of diffusion models with the root mean square error of approximation. J Math Psychol [Internet]. 2017;77:29-45. doi: https://doi.org/10.1016/j.jmp.2016.08.004
- Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling [Internet]. 1999;6(1):1-55. doi: https://doi.org/10.1080/10705519909540118
- Gadernmann AM, Guhn M, Zumbo BD. Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide. Pract Assess Res Evaluation [Internet]. 2012;17:1-13. doi: https://doi.org/10.7275/n560-j767
- Zumbo BD, Gadermann AM, Zeisser C. Ordinal Versions of Coefficients Alpha and Theta for Likert Rating Scales. J Mod Appl Stat Methods [Internet]. 2007;6(1):21-9. doi: https://doi.org/10.22237/jmasm/1177992180
- Koo TK, Li MY. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J Chiropr Med [Internet]. 2016;15(2):155-63. doi: https://doi.org/10.1016/j.jcm.2016.02.012
- Taber KS. The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Res Sci Educ [Internet]. 2018;48:1273-96. doi: https://doi.org/10.1007/s11165-016-9602-2
- Alshayea AK. Latent structure, measurement invariance, and reliability of an Arabic version of the Short Health Anxiety Inventory. J Exp Psychopathol [Internet]. 2020;11(2). doi: https://doi.org/10.1177/2043808720912629
- Kelley K, Lai K. Accuracy in Parameter Estimation for the Root Mean Square Error of Approximation: Sample Size Planning for Narrow Confidence Intervals. Multivariate Behav Res [Internet]. 2011;46(1):1-32. doi: https://doi.org/10.1080/00273171.2011.543027
- Sauer KS, Jungmann SM, Witthöft M. Emotional and Behavioral Consequences of the COVID-19 Pandemic: The Role of Health Anxiety, Intolerance of Uncertainty, and Distress (In)Tolerance. Int J Environ Res Public Health [Internet]. 2020;17(19):1-18. doi: https://doi.org/10.3390/ijerph17197241