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Wang PP, Badley EM, Gignac MAM. Activity limitation, coping efficacy and self-perceived physical independence in people with disability. Disabil Rehabil. 2004;26(13):785-793. [Pub Med ID 15371050]

Objective

This study examines whether the relationships between activity limitations and independence are mediated by coping efficacy.

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Method

Data come from a cross-sectional survey of 286 adults, aged 55 or older, with osteoarthritis (OA) and/or osteoporosis (OP). Physical independence was assessed by asking to what extent respondents’ OA/OP had affected their independence on a 5-point scale from “not at all” to “a great deal.” Activity limitations were examined in three domains: personal care, community mobility, and household activity. A coping efficacy scale was derived from three items scored on a 5-point Likert-type scale from strongly disagree to strongly agree. Structural equation modelingi was used to test the model.

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Results

Activity limitation in household activities was directly associated with perceptions of independence, with a statistically significant standardized path coefficient of -0.32. The effect of activity limitation in personal care was partially mediated by coping efficacy with a direct effect of -0.41 which was partially offset by coping efficacy to give a net effect of -0.308. The effect of community mobility on independence was completely mediated through coping efficacy with significant standardized path coefficients of -0.85 (community mobility to coping efficacy) and -0.14 (coping efficacy to independence). The overall model’s goodness of fit was excellent (R2=0.59, chi-square/df=1.4, CFI=0.97, and NNFI=0.97).

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Conclusion

Activity limitation had a detrimental effect on the level of self-perceived independence. Coping efficacy showed a significant mediating effect between activity limitation and self-perceived independence for the domains of personal care and community mobility, but not household tasks. This study suggests that how activity limitation affects perceptions of independence varies across activity limitation domains, and indicates the importance of incorporating activity limitation domains in future studies.

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List of Tables and Figures (in the publication)

  • Figure 1. Revised model of coping efficacy as mediating factor of the relations between activity limitation and self-perceived independence.
  • Table 1. Distributions of activity limitation variables of the ACREU/Independence study population.
  • Table 2. Cronbach co-efficient Alpha analyses for latent variables included in this study.
  • Table 3. Effects of three types of activity limitations on self-perceived level of independence.

Selected Tables from the Publication (with interpretation)

Figure 1. Revised model of coping efficacy as mediating factor of the relations between activity limitation and self-perceived independence.

Note: Numbers are path coefficients. Path coefficients assess the magnitude of the relationships among the measured and latent variables in the model. All path coefficients shown are statistically significant (p‹0.05).

Table 3. Effects of three types of activity limitations on self-perceived level of independence.

Variables Direct effect Indirect effect through coping efficacy Total effect
Coping efficacy 0.135ii 0 0.135
Personal care -0.406ii 0.311 * (0.135) = 0.042 -0.364
Community mobility n.s. FALSE -0.115
Household tasks -0.321ii n.s. -0.321

Table 3 indicates that all three types of activity limitations significantly affected people’s perceptions of independence. The total effects (direct effects + indirect effects) when expressed as standardized path coefficients were -0.308, -0.115, and -0.321, respectively. Coping efficacy is associated with a standardized path coefficient of 0.135. However, these effects for activity limitations were expressed in different ways. For example, activity limitations in personal care and household activities were directly associated with reduced perceptions of independence. However, the effect of activity limitation in personal care was partially mediated by coping efficacy with a net effect of -0.308. The model’s goodness of fit indicators suggest that the final model was a very good one with x2/df = 2.5, RMSEA = 0.02, NNI = 0.98, and AGFI = 0.96.

Supplementary Tables (with interpretation)

No supplementary information is available for this paper.

  1. Structural equation modeling (SEM) is a multivariate technique that is particularly useful in nonexperimental research testing hypothesized associations and can incorporate both unobserved (i.e., latent or theoretical constructs) and observed variables. In this study, latent variables were used to represent the underlying concepts of activity limitations and coping efficacy. The model is tested statistically using multiple regression and factor analysis techniques.
  2. p‹0.05, ns stands for non-significant. A negative sign indicates that the effect reduced the level of self-perceived independence.