Medical College of Wisconsin
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Use of social adaptability index to explain self-care and diabetes outcomes. BMC Endocr Disord 2017 Jun 20;17(1):34

Date

06/22/2017

Pubmed ID

28633668

Pubmed Central ID

PMC5477748

DOI

10.1186/s12902-017-0185-3

Scopus ID

2-s2.0-85020901402 (requires institutional sign-in at Scopus site)   1 Citation

Abstract

BACKGROUND: To examine whether the social adaptability index (SAI) alone or components of the index provide a better explanatory model for self-care and diabetes outcomes.

METHODS: Six hundred fifteen patients were recruited from two primary care settings. A series of multiple linear regression models were run to assess (1) associations between the SAI and diabetes self-care/outcomes, and (2) associations between individual SAI indicator variables and diabetes self-care/outcomes. Separate models were run for each self-care behavior and outcome. Two models were run for each dependent variable to compare associations with the SAI and components of the index.

RESULTS: The SAI has a significant association with the mental component of quality of life (0.23, p < 0.01). In adjusted analyses, the SAI score did not have a significant association with any of the self-care behaviors. Individual components from the index had significant associations between self-care and multiple SAI indicator variables. Significant associations also exist between outcomes and the individual SAI indicators for education and employment.

CONCLUSIONS: In this population, the SAI has low explanatory power and few significant associations with diabetes self-care/outcomes. While the use of a composite index to predict outcomes within a diabetes population would have high utility, particularly for clinical settings, this SAI lacks statistical and clinical significance in a representative diabetes population. Based on these results, the index does not provide a good model fit and masks the relationship of individual components to diabetes self-care and outcomes. These findings suggest that five items alone are not adequate to explain or predict outcomes for patients with type 2 diabetes.

Author List

Campbell JA, Walker RJ, Smalls BL, Egede LE



MESH terms used to index this publication - Major topics in bold

Diabetes Mellitus, Type 2
Educational Status
Humans
Linear Models
Quality of Life
Self Care
Socioeconomic Factors
Treatment Outcome