James S Krause1, Lee L Saunders, Charles Bombardier, Claire Kalpakjian. 1. Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, 77 President St, C101, MSC 700, Charleston, SC 29425, USA. krause@musc.edu
Abstract
OBJECTIVE: To examine the factor structure of the Patient Health Questionnaire-9, a measure of depression, in persons with spinal cord injury (SCI). DESIGN: Cross-sectional, confirmatory factor analytic study. SETTING: Community. PARTICIPANTS: Data for 7296 persons with an SCI who had sustained their injury at least 1 year prior to assessment and who had complete Patient Health Questionnaire-9 data collected at a follow-up interview were drawn from the National Spinal Cord Injury Statistical Center Database. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Factor structure of the Patient Health Questionnaire-9. RESULTS: Confirmatory factor analysis indicated a marginal fit for the single factor solution (root mean square error of approximation [RMSEA] = 0.086), whereas the solution with 5 somatic items and 4 nonsomatic items had the best fit (RMSEA = 0.054) among 2-factor models that used all 9 items. Of the models that used fewer than 9 items, the best fit was for the 6-item solution with 3 somatic items (sleep, appetite, and fatigue) and 3 nonsomatic items (feeling down, feeling bad about self, and suicidal ideation; RMSEA = 0.043). Similar results were found across the strata except for the Hispanic group (for whom no model fit well). CONCLUSIONS: Given the results of this analysis that support a 2-factor structure of the Patient Health Questionnaire-9 in persons with SCI, the next step in this line of research is to validate each of these dimensions against other ways of measuring depression.
OBJECTIVE: To examine the factor structure of the Patient Health Questionnaire-9, a measure of depression, in persons with spinal cord injury (SCI). DESIGN: Cross-sectional, confirmatory factor analytic study. SETTING: Community. PARTICIPANTS: Data for 7296 persons with an SCI who had sustained their injury at least 1 year prior to assessment and who had complete Patient Health Questionnaire-9 data collected at a follow-up interview were drawn from the National Spinal Cord Injury Statistical Center Database. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Factor structure of the Patient Health Questionnaire-9. RESULTS: Confirmatory factor analysis indicated a marginal fit for the single factor solution (root mean square error of approximation [RMSEA] = 0.086), whereas the solution with 5 somatic items and 4 nonsomatic items had the best fit (RMSEA = 0.054) among 2-factor models that used all 9 items. Of the models that used fewer than 9 items, the best fit was for the 6-item solution with 3 somatic items (sleep, appetite, and fatigue) and 3 nonsomatic items (feeling down, feeling bad about self, and suicidal ideation; RMSEA = 0.043). Similar results were found across the strata except for the Hispanic group (for whom no model fit well). CONCLUSIONS: Given the results of this analysis that support a 2-factor structure of the Patient Health Questionnaire-9 in persons with SCI, the next step in this line of research is to validate each of these dimensions against other ways of measuring depression.
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