Construct validity and internal consistency of the modified Persian version of the STarT Back Screening Tool.
Construct validity
Internal consistency
Nonspecific low back pain
Persianversion of the STarT Back Screening Tool
Journal
Journal of bodywork and movement therapies
ISSN: 1532-9283
Titre abrégé: J Bodyw Mov Ther
Pays: United States
ID NLM: 9700068
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
received:
02
12
2019
revised:
21
10
2020
accepted:
08
11
2020
entrez:
14
3
2021
pubmed:
15
3
2021
medline:
29
7
2021
Statut:
ppublish
Résumé
Considering the importance of non-specific low back pain (NSLBP) and its increasing spread, the need for instruments for the accurate diagnosis of back pain is evident in order to offer more effective treatment. One such instrument is the STarT Back Screening Tool (STarT) which is examined by numerous studies, while some of its psychometric dimensions still require attention. Therefore, the objective of this study was to assess the internal consistency and construct validity of this questionnaire to propose a modified version. In this cross-sectional study, the data of 295 patients with NSLBP were analyzed. Cronbach's alpha was used to assess internal consistency, and exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to assess construct validity. The Χ2/df, GFI, CFI, and RMSEA indices were also utilized as the goodness-of-fit criteria. Data analysis was performed in SPSS, AMOS, and EQS programs. Goodness-of-fit indicators were calculated for the original Persian version of the questionnaire, showing an improper fit (RMSEA = 0.162). According to the measures of sampling adequacy (MSA) of the questions, Questions 1 and 8 were deleted, resulting in an improved index (RMSEA = 0.062). All the regression coefficients in the CFA model were significant (p < 0.001for all 7 parameters). Based on the results, the modified Persian version of the STarT is simpler and more practical than the previous version, serving as a valid and reliable tool for assessing patients with low back pain. With respect to the goodness-of-fit indices, we recommend that more studies with larger samples be conducted on different populations.
Sections du résumé
BACKGROUND AND AIM
OBJECTIVE
Considering the importance of non-specific low back pain (NSLBP) and its increasing spread, the need for instruments for the accurate diagnosis of back pain is evident in order to offer more effective treatment. One such instrument is the STarT Back Screening Tool (STarT) which is examined by numerous studies, while some of its psychometric dimensions still require attention. Therefore, the objective of this study was to assess the internal consistency and construct validity of this questionnaire to propose a modified version.
METHOD
METHODS
In this cross-sectional study, the data of 295 patients with NSLBP were analyzed. Cronbach's alpha was used to assess internal consistency, and exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to assess construct validity. The Χ2/df, GFI, CFI, and RMSEA indices were also utilized as the goodness-of-fit criteria. Data analysis was performed in SPSS, AMOS, and EQS programs.
RESULTS
RESULTS
Goodness-of-fit indicators were calculated for the original Persian version of the questionnaire, showing an improper fit (RMSEA = 0.162). According to the measures of sampling adequacy (MSA) of the questions, Questions 1 and 8 were deleted, resulting in an improved index (RMSEA = 0.062). All the regression coefficients in the CFA model were significant (p < 0.001for all 7 parameters).
CONCLUSION
CONCLUSIONS
Based on the results, the modified Persian version of the STarT is simpler and more practical than the previous version, serving as a valid and reliable tool for assessing patients with low back pain. With respect to the goodness-of-fit indices, we recommend that more studies with larger samples be conducted on different populations.
Identifiants
pubmed: 33714515
pii: S1360-8592(20)30225-4
doi: 10.1016/j.jbmt.2020.11.010
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
75-79Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest This study was supported by the Vice-Chancellor of Research Affairs, Shahid Beheshti University of Medical Sciences (grant code: 8). The Authors declare no conflict of interest.