ArticlePsychology research and behavior management2018
Validation study of a scale for assessing three personality functional dimensions among Venezuelan HIV-positive patients.
Article in Psychology research and behavior management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundPersonality has been recognized as a key variable in the prediction of treatment adherence and health care behaviors in patients living with chronic diseases. PURPOSE: In order to contribute to the prediction of treatment-adherence behaviors among HIV-positive patients, this study aimed to test the metric properties of the 12-item Stress-Related Situations Scale (SRSS-12), which assesses four interactive styles of personality related to stressful situations when receiving treatment for a chronic disease. PATIENTS AND
methodsThis cross-sectional study was performed with a nonprobability sampling between May and June 2016. The SRSS-12 was fulfilled by 186 out of 400 HIV-positive patients receiving attention through the regional program for HIV -sexually transmitted diseases control in the State of Lara, Venezuela (sample proportion =0.465). The participants were young adults (X=34.9 years), predominantly men (80.1%), and single (76.3%). Data analysis included exploratory factor analysis and confirmatory factor analysis, assessment of internal consistency, and description of distributions.
resultsThe exploratory factor analysis yielded a three-factor structure: Tolerance to Frustration and Ambiguity, Follow-up of Instructions and Impulsivity, and Decision Making. Through confirmatory factor analysis, this model showed an acceptable fit to the data. The three factors showed convergent and discriminant validity and internal consistency from acceptable to high. The factor scores did not follow a normal distribution.
conclusionsThe three-factor model for the SRSS-12 showed validity and internal consistency among Venezuelan HIV-positive patients. Scaled scores for factors can be developed using percentile scores.
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