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The Pain Catastrophizing Scale Data

dataset
posted on 31.05.2021, 08:49 authored by Nataly RadchikovaNataly Radchikova, Galina Adashiskaya, Tigranui Sanoyan, Anastasiya Shupta
The data of Russian language adaptation of the Pain Catastrophizing Scale (by Sullivan, Bishop, & Pivik) in English (“The Pain Catastrophizing Scale Data (English).xlsx”) and Russian (“The Pain Catastrophizing Scale Data (Russian).xlsx”) languages.

History

Research questions / Hypotheses

Research aim was to check the reliability and validity of Russian translation of the Pain Catastrophizing Scale by MAPI Research Fund (PCS – Russia/Russian – version of 03 Mar 2017 – Mapi, ID057817 / PCS_AU1.0_rus-RU.doc)

Participants / Sample description

N = 219 people (80,4% females). The average age of the participants was 22.05 years (median = 19.00 years, standard deviation = 6.74; age range from 18 to 54 years).

Apparatus and materials

1) McGiIl Pain Questionnaire (adapted by Kuz'menko V.V. et al. Psychological Methods of Quantitative Pain Evaluation // Soviet Medicine, 1986, no. 10, pp. 44-48) 2) The Pain Catastrophizing Scale, PCS: Sullivan M.J.L., Bishop S., Pivik J. The Pain Catastrophizing Scale: Development and validation // Psychological Assessment, 1995, no. 7, pp. 524-532. doi 10.1037/1040-3590.7.4.524 3) The hospital Anxiety and Depression Scale (HADS) by Zigmond A.S., Snaith R.P. The Hospital Anxiety and Depression scale. Acta Psychiatrica Scandinavica, 1983, vol. 67, pp. 361–370. DOI: 10.1111/j.1600-0447.1983.tb09716.x] adapted by Drobizhev M.Yu. Neural Plasticity as a New Target in Depression Therapy. M.: NTsPZ RAMN, 1993. 24 p. 4) «Self-control Scale» by Gordeeva T.O. et al. Self-Control as a Personality Resource: Assessment and Associations with Performance, Persistence and Well-Being. Cultural-historical psychology, 2016, vol. 12, no. 2, pp. 46-58. doi: 10.17759/chp.2016120205

Statistical methods

Cronbach’s Alpha and split-half Guttman’s alpha were used to check questionnaires’ internal reliability; exploratory and confirmatory factor analysis was done to check the PCS structure; Pearson correlation coefficient was used to determine the relations between the PCS, McGiIl Pain Questionnaire subscales, and HADS; Student’s t-test was used to compare male/female samples and low/high self-control samples on the PCS scores

Results

The Russian-language version of the Pain Catastrophizing Scale shows satisfactory reliability for the scales (Cronbach’s alpha = 0.82; 0.67 and 0.83, respectively), and high reliability in general (Cronbach’s alpha = 0.89). Estimates of pain catastrophizing are positively correlated with the estimates of pain strength and intensity (McGill Pain Questionnaire), as well as with the level of self-control (Brief Self-Control Scale): catastrophizing people, as a rule, have a lower level of self-control. Fit indices of confirmatory factor analysis (RMSEA = 0.08; 2 / df = 2.5; GFI = 0.90; SRMR = 0.7) characterize one- and three-factor models of pain catastrophizing as acceptable. Women showed a higher level of catastrophic pain in general, and differences were also found on the scale of Rumination, while there were no statistically significant differences on the scales of Magnification and Helplessness. Pain Catastrophizing is also positively correlated with anxiety and depression (HADS).

Publication reference

Radchikova N., Adashinskaya G.A., Sanoyan T.R., Shupta A.A. Russian Adaptation of the Pain Catastrophizing Scale [Elektronnyi resurs]. Klinicheskaia i spetsial'naia psikhologiia = Clinical Psychology and Special Education, 2020. Vol. 9, no. 4, pp. 169–187. doi:10.17759/cpse.2020090409. (In Russ., аbstr. in Engl.)

Quantitative analysis results

No Results file

Ethics Committee Approval Certificate

No Ethics Committee Approval Certificate

Research Pre-registration Protocol

No Research Pre-registration Protocol

Affiliation

Nataly P. Radchikova, PhD in Psychology; Associate Professor, Faculty of Pre-School Pedagogy and Psychology, Moscow Pedagogical State University (MPGU); Leading Researcher, Scientific and Practical Center for Comprehensive Support of Psychological Research «PsyDATA», Moscow State University of Psychology & Education (MSUPE), Moscow, Russia Galina A. Adashinskaya, PhD in Psychology, Associate Professor, Pirogov Russian National Research Medical University (RNRMU), Moscow, Russia Tigranui R. Sanoyan, Junior Associate Professor, Pirogov Russian National Research Medical University (RNRMU), Moscow, Russia Anastasiya A. Shupta, Registrar, FSBI «National Medical Research Center of Psychiatry and Narcology named after V.P. Serbsky» of the Ministry of Health of Russia, Moscow, Russia