Confirmatory factory analysis of the Neck Disability Index in a general problematic neck population indicates a one-factor model

C.P. Gabel, A.I. Cuesta-Vargas, J.W. Osborne, B.J. Burkett, Markus Melloh

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Background context The Neck Disability Index frequently is used to measure outcomes of the neck. The statistical rigor of the Neck Disability Index has been assessed with conflicting outcomes. To date, Confirmatory Factor Analysis of the Neck Disability Index has not been reported for a suitably large population study. Because the Neck Disability Index is not a condition-specific measure of neck function, initial Confirmatory Factor Analysis should consider problematic neck patients as a homogenous group. Purpose We sought to analyze the factor structure of the Neck Disability Index through Confirmatory Factor Analysis in a symptomatic, homogeneous, neck population, with respect to pooled populations and gender subgroups. Study design This was a secondary analysis of pooled data. Patient sample A total of 1,278 symptomatic neck patients (67.5% female, median age 41 years), 803 nonspecific and 475 with whiplash-associated disorder. Outcome measures The Neck Disability Index was used to measure outcomes. Methods We analyzed pooled baseline data from six independent studies of patients with neck problems who completed Neck Disability Index questionnaires at baseline. The Confirmatory Factor Analysis was considered in three scenarios: the full sample and separate sexes. Models were compared empirically for best fit. Results Two-factor models have good psychometric properties across both the pooled and sex subgroups. However, according to these analyses, the one-factor solution is preferable from both a statistical perspective and parsimony. The two-factor model was close to significant for the male subgroup (p
Original languageEnglish
Pages (from-to)1410-1416
JournalSpine Journal
Volume14
Issue number8
DOIs
Publication statusPublished - 2014

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