Adrian Preda1, Dana D Nguyen2, Juan R Bustillo3, Aysenil Belger4, Daniel S O'Leary5, Sarah McEwen6, Shichun Ling7, Lawrence Faziola7, Daniel H Mathalon8, Judith M Ford9, Steven G Potkin7, Theo G M van Erp10. 1. Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA. Electronic address: apreda@uci.edu. 2. Department of Pediatrics, University of California Irvine, Irvine, CA, USA. 3. Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA. 4. Department of Psychiatry and Psychology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. 5. Department of Psychiatry, University of Iowa, Iowa City, IA, USA. 6. Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA. 7. Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA. 8. Department of Psychiatry, UCSF, San Francisco, San Francisco, CA, USA. 9. Department of Psychiatry, UCSF, San Francisco, San Francisco, CA, USA; San Francisco Veterans Affairs Medical Center, San Francisco, CA 94121, USA. 10. Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA.
Abstract
AIMS: To provide quantitative conversions between commonly used scales for the assessment of negative symptoms in schizophrenia. METHOD: Linear regression analyses generated conversion equations between symptom scores from the Scale for the Assessment of Negative Symptoms (SANS), the Schedule for the Deficit Syndrome (SDS), the Positive and Negative Syndrome Scale (PANSS), or the Negative Symptoms Assessment (NSA) based on a cross sectional sample of 176 individuals with schizophrenia. Intraclass correlations assessed the rating conversion accuracy based on a separate sub-sample of 29 patients who took part in the initial study as well as an independent sample of 28 additional subjects with schizophrenia. RESULTS: Between-scale negative symptom ratings were moderately to highly correlated (r = 0.73-0.91). Intraclass correlations between the original negative symptom rating scores and those obtained via using the conversion equations were in the range of 0.61-0.79. CONCLUSIONS: While there is a degree of non-overlap, several negative symptoms scores reflect measures of similar constructs and may be reliably converted between some scales. The conversion equations are provided at http://www.converteasy.org and may be used for meta- and mega-analyses that examine negative symptoms.
AIMS: To provide quantitative conversions between commonly used scales for the assessment of negative symptoms in schizophrenia. METHOD: Linear regression analyses generated conversion equations between symptom scores from the Scale for the Assessment of Negative Symptoms (SANS), the Schedule for the Deficit Syndrome (SDS), the Positive and Negative Syndrome Scale (PANSS), or the Negative Symptoms Assessment (NSA) based on a cross sectional sample of 176 individuals with schizophrenia. Intraclass correlations assessed the rating conversion accuracy based on a separate sub-sample of 29 patients who took part in the initial study as well as an independent sample of 28 additional subjects with schizophrenia. RESULTS: Between-scale negative symptom ratings were moderately to highly correlated (r = 0.73-0.91). Intraclass correlations between the original negative symptom rating scores and those obtained via using the conversion equations were in the range of 0.61-0.79. CONCLUSIONS: While there is a degree of non-overlap, several negative symptoms scores reflect measures of similar constructs and may be reliably converted between some scales. The conversion equations are provided at http://www.converteasy.org and may be used for meta- and mega-analyses that examine negative symptoms.
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