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. 2013 Feb;29(2):145-51.
doi: 10.1002/dmrr.2367.

Serial anthropometry predicts peripheral nerve dysfunction in a community cohort

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Serial anthropometry predicts peripheral nerve dysfunction in a community cohort

Kelly R Ylitalo et al. Diabetes Metab Res Rev. 2013 Feb.

Abstract

Background: Obesity is a risk factor for glucose intolerance, but the independent role of obesity in the development of peripheral neuropathy is unclear. This study assessed the impact of body size trajectories on prevalent nerve dysfunction in community-dwelling women with and without glucose intolerance.

Methods: Annual (1996-2008) anthropometric measures of weight, height, waist circumference and body mass index [BMI, weight (kg)/height (m(2) )] were assessed in the Study of Women's Health Across the Nation - Michigan site. Glucose intolerance was defined annually on the basis of current use of diabetes medications, self-reported diabetes diagnosis and, when available, fasting glucose. Peripheral nerve dysfunction in 2008 was defined as abnormal monofilament testing or ≥4 symptoms or signs. Linear mixed models were used to determine trajectories of anthropometry by subsequently identified nerve dysfunction status.

Results: Mean BMI was 32.4 kg/m(2) at baseline, and 27.8% of the women had nerve dysfunction in 2008. BMI, weight and waist circumference increased over time. Women who would have nerve dysfunction were significantly larger than women without dysfunction, independent of glucose intolerance. At mean baseline age of 46, BMI, weight and waist circumference differed significantly (p-value < 0.01) by subsequent nerve dysfunction status, independent of glucose intolerance and hypertension. These body size differences were maintained but not exacerbated over time.

Conclusions: Peripheral nerve dysfunction is prevalent among community-dwelling women. Twelve years before the nerve assessment, anthropometry differed between women who would and would not have nerve dysfunction, differences that were maintained over time. Obesity deserves attention as an important and potentially modifiable risk factor for peripheral nerve dysfunction.

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Figures

Figure 1
Figure 1
Predicted trajectories of BMI (A), waist circumference (B), and weight (C) by peripheral nerve dysfunction status in 2008, adjusted for cumulative glucose tolerance status and hypertension (A), or cumulative glucose tolerance status, hypertension, and height (B,C), Michigan SWAN. Large dashed lines are trajectories for peripheral nerve dysfunction, solid lines are trajectories for women without peripheral nerve dysfunction, and small dashes are 95% confidence intervals.
Figure 1
Figure 1
Predicted trajectories of BMI (A), waist circumference (B), and weight (C) by peripheral nerve dysfunction status in 2008, adjusted for cumulative glucose tolerance status and hypertension (A), or cumulative glucose tolerance status, hypertension, and height (B,C), Michigan SWAN. Large dashed lines are trajectories for peripheral nerve dysfunction, solid lines are trajectories for women without peripheral nerve dysfunction, and small dashes are 95% confidence intervals.

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References

    1. Wang Y, Beydoun MA. The obesity epidemic in the United States—gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis. Epidemiol Rev. 2007;29:6–28. - PubMed
    1. U.S. Department of Health and Human Services . The Surgeon General's call to action to prevent and decrease overweight and obesity. U.S. Department of Health and Human Services, Public Health Service, Office of the Surgeon General; Rockville, MD: 2001. Available from: U.S. GPO, Washington. - PubMed
    1. Jia H, Lubetkin EI. Obesity-related quality-adjusted life years lost in the U.S. from 1993 to 2008. Am J Prev Med. 2010;39(3):220–7. - PubMed
    1. Vazquez G, Duval S, Jacobs DR, Silventoinen K. Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Rev. 2007;29:115–128. - PubMed
    1. Deshpande AD, Harris-Hayes M, Schootman M. Epidemiology of diabetes and diabetes-related complications. Phys Ther. 2008;88(11):1254–1264. - PMC - PubMed

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