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Factor structure of the arthritis body experience scale (ABES) in a U.S. population of people with osteoarthritis (OA), rheumatoid arthritis (RA), fibromyalgia (FM) and other rheumatic conditions.

Boyington JE, Devellis R, Shreffler J, Schoster B, Callahan LF - Open Rheumatol J (2008)

Bottom Line: A three-factor structure with cronbach alpha values of .84, .85 and .53 was elicited, and accounted for 72% of the variance.Compared to the two-factor structure evidenced by the original ABES scale in a sample of UK adults, the data from this sample evidenced a three-factor structure with higher variance.However, further testing and refinement is needed to determine its utility in clinical and other settings.

View Article: PubMed Central - PubMed

Affiliation: National Institutes of Health, National Institute of Nursing Research, Bethesda, MD, USA. boyingtonje@mail.nih.gov

ABSTRACT

Objective: To examine the psychometric properties of the Arthritis Body Experience Scale (ABES) in a US sample of people with osteoarthritis, rheumatoid arthritis, fibromyalgia and other rheumatic conditions.

Methods: The ABES, with the scoring direction modified, was phone-administered to 937 individuals who self-identified as having one or more arthritis conditions based on a validated, US, national survey assessment tool. Descriptive statistics of demographic variables and factor analysis of scale items were conducted. Scale dimensionality was assessed using principal component analysis (PCA) with oblique rotation. Criteria for assessing factors were eigenvalues > 1, visual assessment of scree plot, and structure and pattern matrices.

Results: The predominantly female (74.2%) and Caucasian (79.9%) sample had a mean age of 61.0 ± 13.1 years, and a mean BMI of 30.2 ± 7.1. Major arthritis conditions reported were rheumatoid arthritis, osteoarthritis and fibromyalgia. A three-factor structure with cronbach alpha values of .84, .85 and .53 was elicited, and accounted for 72% of the variance.

Discussion: Compared to the two-factor structure evidenced by the original ABES scale in a sample of UK adults, the data from this sample evidenced a three-factor structure with higher variance. The third factor's cronbach alpha of .53 was low and could be improved by the addition of salient questions derived from further qualitative interviews with patients with arthritis and other rheumatic conditions and from current literature findings.

Conclusion: The observed psychometrics indicate the scale usefully assesses body image in populations with arthritis and related conditions. However, further testing and refinement is needed to determine its utility in clinical and other settings.

No MeSH data available.


Related in: MedlinePlus

Scree plot of 3-factor structure of the overall sample.
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Figure 1: Scree plot of 3-factor structure of the overall sample.

Mentions: Correlation matrices from the factor analysis of the data of the 899, indicated that all but 2 of the inter-item correlations were significant (p < 0.05). Kaiser Meyer Olkin measure of sampling adequacy for the dataset was = 0.77; and Bartlett’s test of sphericity was significant at p < 0.001 (Table 2). Initial principal components analysis with direct oblimin rotation indicated a three-factor structure, the first of which contained 4 items, (#1-4). Factors 2 and 3 contained three items, (#7-9), and two items, (#5 and 6), respectively. Evaluation of the structure matrix revealed the item loadings for factor 1 ranged between 0.81-0.84, for factor 2, between 0.80-0.91, and for each of the two items in factor 3, 0.83 and 0.82 respectively (Table 3). The two items in factor 3 did not load above 0.24 on either factor 1 or 2. The alpha coefficients (α) for the three factors identified were: α = 0.84 (factor 1), α = 0.85 (factor 2), and α = 0.53 (factor 3). The total variance explained by this three-factor structure was 72% (Table 4). Examination of the scree plot (Fig. 1) also indicated a three-factor structure. The component correlation matrix indicated negligible correlation between factor 3 and the other 2 factors (Table 5).


Factor structure of the arthritis body experience scale (ABES) in a U.S. population of people with osteoarthritis (OA), rheumatoid arthritis (RA), fibromyalgia (FM) and other rheumatic conditions.

Boyington JE, Devellis R, Shreffler J, Schoster B, Callahan LF - Open Rheumatol J (2008)

Scree plot of 3-factor structure of the overall sample.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2627534&req=5

Figure 1: Scree plot of 3-factor structure of the overall sample.
Mentions: Correlation matrices from the factor analysis of the data of the 899, indicated that all but 2 of the inter-item correlations were significant (p < 0.05). Kaiser Meyer Olkin measure of sampling adequacy for the dataset was = 0.77; and Bartlett’s test of sphericity was significant at p < 0.001 (Table 2). Initial principal components analysis with direct oblimin rotation indicated a three-factor structure, the first of which contained 4 items, (#1-4). Factors 2 and 3 contained three items, (#7-9), and two items, (#5 and 6), respectively. Evaluation of the structure matrix revealed the item loadings for factor 1 ranged between 0.81-0.84, for factor 2, between 0.80-0.91, and for each of the two items in factor 3, 0.83 and 0.82 respectively (Table 3). The two items in factor 3 did not load above 0.24 on either factor 1 or 2. The alpha coefficients (α) for the three factors identified were: α = 0.84 (factor 1), α = 0.85 (factor 2), and α = 0.53 (factor 3). The total variance explained by this three-factor structure was 72% (Table 4). Examination of the scree plot (Fig. 1) also indicated a three-factor structure. The component correlation matrix indicated negligible correlation between factor 3 and the other 2 factors (Table 5).

Bottom Line: A three-factor structure with cronbach alpha values of .84, .85 and .53 was elicited, and accounted for 72% of the variance.Compared to the two-factor structure evidenced by the original ABES scale in a sample of UK adults, the data from this sample evidenced a three-factor structure with higher variance.However, further testing and refinement is needed to determine its utility in clinical and other settings.

View Article: PubMed Central - PubMed

Affiliation: National Institutes of Health, National Institute of Nursing Research, Bethesda, MD, USA. boyingtonje@mail.nih.gov

ABSTRACT

Objective: To examine the psychometric properties of the Arthritis Body Experience Scale (ABES) in a US sample of people with osteoarthritis, rheumatoid arthritis, fibromyalgia and other rheumatic conditions.

Methods: The ABES, with the scoring direction modified, was phone-administered to 937 individuals who self-identified as having one or more arthritis conditions based on a validated, US, national survey assessment tool. Descriptive statistics of demographic variables and factor analysis of scale items were conducted. Scale dimensionality was assessed using principal component analysis (PCA) with oblique rotation. Criteria for assessing factors were eigenvalues > 1, visual assessment of scree plot, and structure and pattern matrices.

Results: The predominantly female (74.2%) and Caucasian (79.9%) sample had a mean age of 61.0 ± 13.1 years, and a mean BMI of 30.2 ± 7.1. Major arthritis conditions reported were rheumatoid arthritis, osteoarthritis and fibromyalgia. A three-factor structure with cronbach alpha values of .84, .85 and .53 was elicited, and accounted for 72% of the variance.

Discussion: Compared to the two-factor structure evidenced by the original ABES scale in a sample of UK adults, the data from this sample evidenced a three-factor structure with higher variance. The third factor's cronbach alpha of .53 was low and could be improved by the addition of salient questions derived from further qualitative interviews with patients with arthritis and other rheumatic conditions and from current literature findings.

Conclusion: The observed psychometrics indicate the scale usefully assesses body image in populations with arthritis and related conditions. However, further testing and refinement is needed to determine its utility in clinical and other settings.

No MeSH data available.


Related in: MedlinePlus