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Spinal cord injury and type 2 diabetes: results from a population health survey.


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.

SUBMITTER: Cragg JJ 

PROVIDER: S-EPMC3821709 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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Spinal cord injury and type 2 diabetes: results from a population health survey.

Cragg Jacquelyn J JJ   Noonan Vanessa K VK   Dvorak Marcel M   Krassioukov Andrei A   Mancini G B John GB   Borisoff Jaimie F JF  

Neurology 20131023 21


<h4>Objective</h4>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.<h4>Methods</h4>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 prob  ...[more]

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