Adaptarea Scalei pentru tulburarea cu simptome somatice – Criteriul B (SSD-12) pe populația generală din România
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Abstract
The present research aimed to translate the Somatic Symptom Disorder – B Criteria Scale (SSD-12) (Toussaint et al., 2016) and investigate its psychometric properties in the general Romanian population. The questionnaire assesses the cognitive, affective and behavioral features of Somatic Symptom Disorder, based on DSM-5 (APA, 2013) diagnostic criteria. Two samples (N1=250, N2=450) have been used in order to assess internal consistency, test-retest reliability, factor structure, convergent validity and influence of socio-demographic variables, as well as to provide cutoff points for psychological burden. Participants (ages 18 to 71 years-old) filled out a socio-demographic data sheet and the Somatic Symptom Disorder – B Criteria Scale (SSD-12) and those from the second sample also filled out the Patient Health Questionnaire-9 (PHQ-9) (Kroenke et al., 2001), which assesses the depression. Results indicated excellent internal consistency (Cronbach’s α=0.94) and very good test-retest reliability over 2-weeks period (rs=0.87, p<0.001). Exploratory and confirmatory factor analysis supported the one-factor model, obtained by the authors of the original version of the scale, in the general population (Toussaint et al., 2017). Convergent validity was confirmed by the correlation between the scores obtained at SSD-12 and PHQ-9 (rs=0.49, p<0.001). The influence of the socio-demographic variables on SSD-12 was not statistically significant. Cutoff points for medium, high and very high psychological burden were 15, 20 and 26. The psychometric properties of the Romanian version of SSD-12 indicate that the scale is appropriate for investigating the psychological features of somatic symptom disorder, in general population.
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References
ALEXANDER, F., Medicina psihosomatică, București, Editura Trei, 2008.
AMERICAN PSYCHIATRIC ASSOCIATION, 2000/ ASOCIAȚIA PISHIATRILOR LIBERI DIN ROMÂNIA, Manual de Diagnostic și Statistică a tulburărilor mentale, ediția a IV-a revizuită, DSM IV-TR, București, Editura Pegasus, 2003.
AMERICAN PSYCHIATRIC ASSOCIATION, 2013/ DSM-5: Manual de diagnostic și clasificare statistică a tulburărilor mintale, București, Editura Medicală Callisto, 2016.
FABRIGAR, L.R., MACCALLUM, R.C., WEGENER, D.T., STRAHAN, E.J., Evaluating the Use of Exploratory Factor Analysis in Psychological Research, Psychological Methods, 4, 3, 1999, p. 272–299.
FREUD, S., Opere, vol. XII: Studii despre isterie, București, Editura Trei, 2005.
GIERK, B., KOHLMANN, S., KROENKE, K., SPANGENBERG, L., ZENGER, M., BRÄHLER, E., LÖWE, B., The Somatic Symptom Scale–8 (SSS-8): A Brief Measure of Somatic Symptom Burden, JAMA Internal Medicine, 174, 3, 2014, p. 399–407.
GRECO, M., On illness and value: biopolitics, psychosomatics, participating bodies, Medical humanities, 45, 2, 2019, p. 107–115.
GUZMÁN-GONZÁLEZ, M., RIVERA-OTTENBERGER, D., BRASSARD, A., SPENCER, R., LAFONTAINE, M.F., Measuring adult romantic attachment: psychometric properties of the brief Spanish version of the experiences in close relationships, Psicologia: Reflexão e Crítica, 33, 1, e9, 2020.
HANCOCK, G.R., MUELLER, R.O. (EDS.), Structural Equation Modeling: A Second Course (2nd ed.), Charlotte: Information Age Publishing, 2013.
HOOPER, D., COUGHLAN, J., MULLEN, M., Structural Equation Modelling: Guidelines for Determining Model Fit, Electronic Journal of Business Research Methods, 6, 1, 2008, p. 53–60.
HU, L., BENTLER, P.M., Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling, 6, 1, 1999, p. 1–55.
IONESCU, C.G., TALAȘMAN, A.A., BĂDĂRĂU, I.A., Somatization and sleep quality on patients with comorbid anxiety/depression, MAEDICA – A Journal of Clinical Medicine, 16, 2, 2021, p. 246–254.
JASP TEAM, JASP (Versiunea 0.14.1) [Computer software], disponibil la: https://jasp-stats.org/ download/, 2020.
KIM, H.-Y., Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis, Restorative Dentistry & Endodontics, 2013, p. 52–54.
KOCALEVENT, R.D, HINZ, A., BRÄHLER, E., Standardization of the depression screener patient health questionnaire (PHQ-9) in the general population, General Hospital Psychiatry, 35, 5, 2013, p. 551–555.
KOĞAR, H., YILMAZ KOĞAR, E., Comparison of Different Estimation Methods for Categorical and Ordinal Data in Confirmatory Factor Analysis, Journal of Measurement and Evaluation in Education and Psychology, 6, 2, 2015, p. 351–364.
KROENKE, K., SPITZER, R.L., WILLIAMS, J.B., The PHQ-9: validity of a brief depression severity measure, Journal of General Internal Medicine, 16, 9, 2001, p. 606–613.
KROENKE, K., SPITZER, R.L., WILLIAMS, J.B.W., The PHQ-15: Validity of a New Measure for Evaluating the Severity of Somatic Symptoms, Psychosomatic Medicine, 64, 2, 2002, p. 258–266.