OBJECTIVE: To determine the prevalence of neuropathy stratified by glycemic status and the association between extensive anthropometric measurements and neuropathy. PATIENTS AND METHODS: We performed a cross-sectional, observational study in obese individuals, before surgery, with body mass index (BMI) greater than 35 kg/m2. Lean controls were recruited from a research website. Neuropathy was defined by the Toronto consensus definition of probable neuropathy. We compared nine anthropometric measurements between obese participants with and without neuropathy. We used multivariable logistic regression to explore associations between these measures, and other metabolic risk factors, and neuropathy. RESULTS: We recruited 138 obese individuals and 46 lean controls. The mean age (SD) was 45.1 (11.3) years in the obese population (76.1% female, n=105) and 43.8 (12.1) years in the lean controls (82.2% female, n=37). The prevalence of neuropathy was 2.2% (n=1) in lean controls, 12.1% (n=4) in obese participants with normoglycemia, 7.1% (n=4) in obese participants with pre-diabetes, and 40.8% (n=20) in obese participants with diabetes (p≤.01). Waist circumference was the only anthropometric measure that was larger in those with neuropathy (139.3 cm vs 129.1 cm, p=.01). Hip-thigh (71.1 cm vs 76.6 cm, p<.01) and mid-thigh (62.2 cm vs 66.3 cm, p=.03) circumferences were smaller in those with neuropathy. The body mass index was comparable between patients who were obese with and without neuropathy (p=.86). Waist circumference (odds ratio [OR], 1.39; 95% CI, 1.10 to 1.75), systolic blood pressure (OR, 2.89; 95% CI, 1.49 to 5.61), and triglycerides (OR, 1.31; 95% CI, 1.00 to 1.70) were significantly associated with neuropathy. CONCLUSION: Normoglycemic obese patients have a high prevalence of neuropathy indicating that obesity alone may be sufficient to cause neuropathy. Waist circumference, but not general obesity, is significantly associated with neuropathy.
OBJECTIVE: To determine the prevalence of neuropathy stratified by glycemic status and the association between extensive anthropometric measurements and neuropathy. PATIENTS AND METHODS: We performed a cross-sectional, observational study in obese individuals, before surgery, with body mass index (BMI) greater than 35 kg/m2. Lean controls were recruited from a research website. Neuropathy was defined by the Toronto consensus definition of probable neuropathy. We compared nine anthropometric measurements between obese participants with and without neuropathy. We used multivariable logistic regression to explore associations between these measures, and other metabolic risk factors, and neuropathy. RESULTS: We recruited 138 obese individuals and 46 lean controls. The mean age (SD) was 45.1 (11.3) years in the obese population (76.1% female, n=105) and 43.8 (12.1) years in the lean controls (82.2% female, n=37). The prevalence of neuropathy was 2.2% (n=1) in lean controls, 12.1% (n=4) in obese participants with normoglycemia, 7.1% (n=4) in obese participants with pre-diabetes, and 40.8% (n=20) in obese participants with diabetes (p≤.01). Waist circumference was the only anthropometric measure that was larger in those with neuropathy (139.3 cm vs 129.1 cm, p=.01). Hip-thigh (71.1 cm vs 76.6 cm, p<.01) and mid-thigh (62.2 cm vs 66.3 cm, p=.03) circumferences were smaller in those with neuropathy. The body mass index was comparable between patients who were obese with and without neuropathy (p=.86). Waist circumference (odds ratio [OR], 1.39; 95% CI, 1.10 to 1.75), systolic blood pressure (OR, 2.89; 95% CI, 1.49 to 5.61), and triglycerides (OR, 1.31; 95% CI, 1.00 to 1.70) were significantly associated with neuropathy. CONCLUSION: Normoglycemic obese patients have a high prevalence of neuropathy indicating that obesity alone may be sufficient to cause neuropathy. Waist circumference, but not general obesity, is significantly associated with neuropathy.
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