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Abstract
Objective: The objective of this study was to evaluate the association between spinal cord injury (SCI) and type 2 diabetes in a large representative sample and to determine whether an association exists irrespective of known risk factors for type 2 diabetes.
Methods: Data were obtained on 60,678 respondents to the Statistics Canada 2010 Cycle of the cross-sectional Canadian Community Health Survey. Multivariable logistic regression, incorporating adjustment for confounders and probability weights to account for the Canadian Community Health Survey sampling method, was conducted to quantify this association.
Results: After adjustment for both sex and age, SCI was associated with a significant increased odds of type 2 diabetes (adjusted odds ratio = 1.66, 95% confidence interval 1.16–2.36). These heightened odds persisted after additional adjustment for smoking status, hypertension status, body mass index, daily physical activity, alcohol intake, and daily consumption of fruits and vegetables (fully adjusted odds ratio = 2.45, 95% confidence interval 1.34–4.47).
Conclusions: There is a strong association between SCI and type 2 diabetes, which is not explained by known risk factors for type 2 diabetes.
GLOSSARY
- AOR=
- adjusted odds ratio;
- CCHS=
- Canadian Community Health Survey;
- CI=
- confidence interval;
- OR=
- odds ratio;
- SCI=
- spinal cord injury
Footnotes
Go to Neurology.org for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.
- Received May 14, 2013.
- Accepted in final form August 21, 2013.
- © 2013 American Academy of Neurology
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