Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome

Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Han, Ling [verfasserIn] Ji, Lijin Chang, Jing Wen, Jian Zhao, Wenting Shi, Hongli Zhou, Linuo Li, Yiming Hu, Renming Hu, Ji Lu, Bin

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Peripheral neuropathy Dysglycemia Insulin resistance Metabolic syndrome

Anmerkung:	© Han et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (

Übergeordnetes Werk:	Enthalten in: Diabetology & metabolic syndrome - London : BioMed Central, 2009, 7(2015), 1 vom: 03. März
Übergeordnetes Werk:	volume:7 ; year:2015 ; number:1 ; day:03 ; month:03

Links:	Volltext

DOI / URN:	10.1186/s13098-015-0010-y

Katalog-ID:	SPR030242630

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520			\|a Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy.
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allfields	10.1186/s13098-015-0010-y doi (DE-627)SPR030242630 (SPR)s13098-015-0010-y-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Han et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy. Peripheral neuropathy (dpeaa)DE-He213 Dysglycemia (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Ji, Lijin aut Chang, Jing aut Wen, Jian aut Zhao, Wenting aut Shi, Hongli aut Zhou, Linuo aut Li, Yiming aut Hu, Renming aut Hu, Ji aut Lu, Bin aut Enthalten in Diabetology & metabolic syndrome London : BioMed Central, 2009 7(2015), 1 vom: 03. März (DE-627)610606689 (DE-600)2518786-7 1758-5996 nnns volume:7 year:2015 number:1 day:03 month:03 https://dx.doi.org/10.1186/s13098-015-0010-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2015 1 03 03
spelling	10.1186/s13098-015-0010-y doi (DE-627)SPR030242630 (SPR)s13098-015-0010-y-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Han et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy. Peripheral neuropathy (dpeaa)DE-He213 Dysglycemia (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Ji, Lijin aut Chang, Jing aut Wen, Jian aut Zhao, Wenting aut Shi, Hongli aut Zhou, Linuo aut Li, Yiming aut Hu, Renming aut Hu, Ji aut Lu, Bin aut Enthalten in Diabetology & metabolic syndrome London : BioMed Central, 2009 7(2015), 1 vom: 03. März (DE-627)610606689 (DE-600)2518786-7 1758-5996 nnns volume:7 year:2015 number:1 day:03 month:03 https://dx.doi.org/10.1186/s13098-015-0010-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2015 1 03 03
allfields_unstemmed	10.1186/s13098-015-0010-y doi (DE-627)SPR030242630 (SPR)s13098-015-0010-y-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Han et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy. Peripheral neuropathy (dpeaa)DE-He213 Dysglycemia (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Ji, Lijin aut Chang, Jing aut Wen, Jian aut Zhao, Wenting aut Shi, Hongli aut Zhou, Linuo aut Li, Yiming aut Hu, Renming aut Hu, Ji aut Lu, Bin aut Enthalten in Diabetology & metabolic syndrome London : BioMed Central, 2009 7(2015), 1 vom: 03. März (DE-627)610606689 (DE-600)2518786-7 1758-5996 nnns volume:7 year:2015 number:1 day:03 month:03 https://dx.doi.org/10.1186/s13098-015-0010-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2015 1 03 03
allfieldsGer	10.1186/s13098-015-0010-y doi (DE-627)SPR030242630 (SPR)s13098-015-0010-y-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Han et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy. Peripheral neuropathy (dpeaa)DE-He213 Dysglycemia (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Ji, Lijin aut Chang, Jing aut Wen, Jian aut Zhao, Wenting aut Shi, Hongli aut Zhou, Linuo aut Li, Yiming aut Hu, Renming aut Hu, Ji aut Lu, Bin aut Enthalten in Diabetology & metabolic syndrome London : BioMed Central, 2009 7(2015), 1 vom: 03. März (DE-627)610606689 (DE-600)2518786-7 1758-5996 nnns volume:7 year:2015 number:1 day:03 month:03 https://dx.doi.org/10.1186/s13098-015-0010-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2015 1 03 03
allfieldsSound	10.1186/s13098-015-0010-y doi (DE-627)SPR030242630 (SPR)s13098-015-0010-y-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Han et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy. Peripheral neuropathy (dpeaa)DE-He213 Dysglycemia (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Ji, Lijin aut Chang, Jing aut Wen, Jian aut Zhao, Wenting aut Shi, Hongli aut Zhou, Linuo aut Li, Yiming aut Hu, Renming aut Hu, Ji aut Lu, Bin aut Enthalten in Diabetology & metabolic syndrome London : BioMed Central, 2009 7(2015), 1 vom: 03. März (DE-627)610606689 (DE-600)2518786-7 1758-5996 nnns volume:7 year:2015 number:1 day:03 month:03 https://dx.doi.org/10.1186/s13098-015-0010-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2015 1 03 03
language	English
source	Enthalten in Diabetology & metabolic syndrome 7(2015), 1 vom: 03. März volume:7 year:2015 number:1 day:03 month:03
sourceStr	Enthalten in Diabetology & metabolic syndrome 7(2015), 1 vom: 03. März volume:7 year:2015 number:1 day:03 month:03
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Peripheral neuropathy Dysglycemia Insulin resistance Metabolic syndrome
isfreeaccess_bool	false
container_title	Diabetology & metabolic syndrome
authorswithroles_txt_mv	Han, Ling @@aut@@ Ji, Lijin @@aut@@ Chang, Jing @@aut@@ Wen, Jian @@aut@@ Zhao, Wenting @@aut@@ Shi, Hongli @@aut@@ Zhou, Linuo @@aut@@ Li, Yiming @@aut@@ Hu, Renming @@aut@@ Hu, Ji @@aut@@ Lu, Bin @@aut@@
publishDateDaySort_date	2015-03-03T00:00:00Z
hierarchy_top_id	610606689
id	SPR030242630
language_de	englisch
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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). 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author	Han, Ling
spellingShingle	Han, Ling misc Peripheral neuropathy misc Dysglycemia misc Insulin resistance misc Metabolic syndrome Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome
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topic_title	Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome Peripheral neuropathy (dpeaa)DE-He213 Dysglycemia (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213
topic	misc Peripheral neuropathy misc Dysglycemia misc Insulin resistance misc Metabolic syndrome
topic_unstemmed	misc Peripheral neuropathy misc Dysglycemia misc Insulin resistance misc Metabolic syndrome
topic_browse	misc Peripheral neuropathy misc Dysglycemia misc Insulin resistance misc Metabolic syndrome
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title	Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome
ctrlnum	(DE-627)SPR030242630 (SPR)s13098-015-0010-y-e
title_full	Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome
author_sort	Han, Ling
journal	Diabetology & metabolic syndrome
journalStr	Diabetology & metabolic syndrome
lang_code	eng
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contenttype_str_mv	txt
author_browse	Han, Ling Ji, Lijin Chang, Jing Wen, Jian Zhao, Wenting Shi, Hongli Zhou, Linuo Li, Yiming Hu, Renming Hu, Ji Lu, Bin
container_volume	7
format_se	Elektronische Aufsätze
author-letter	Han, Ling
doi_str_mv	10.1186/s13098-015-0010-y
title_sort	peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome
title_auth	Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome
abstract	Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy. © Han et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstractGer	Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy. © Han et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstract_unstemmed	Background To determine the association of insulin resistance, metabolic syndrome (MetS) with peripheral neuropathy (PN). Methods This cross-sectional study consisted of 2035 subjects in Shanghai who were classified as with MetS and without MetS. The new International Diabetes Federation (IDF) criterion was used to define MetS. HOMA-IR was applied to evaluate insulin resistance. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of insulin resistance, features of MetS to PN. Results (1) The percentage of PN was 4.0% in our study. Patients with MetS (47.7%) had a higher percentage of PN (5.5% vs. 2.6%, respectively, P = 0.001). With the components of MetS increased (non-MetS, three, four, five), a linear increase in the proportion of peripheral neuropathy was observed (2.6%, 4.8%, 5.6% and 7.2%; respectively, P for trend = 0.001). (2) In patients with PN, the average age of patients was significantly older than the corresponding non-PN patients. Waist circumference, fasting blood glucose, HbA1c, proportion of treatment for diabetes and hypertension were significantly higher in PN group compared with non-PN group in MetS patients. (3) The frequency of dysglycemia was the highest in PN patients both with and without MetS (96.2% and 82.1%, P = 0.084). (4) After adjusting for gender and smoking history, the PN was associated with MetS [odds ratio (OR) 2.0; 95% confidence interval (CI) 1.2, 3.2; P = 0.006], and age (OR 1.1; 95% CI 1.1, 1.1; P < 0.001). When HOMA-IR was added to this binary logistic regression, the association of PN with MetS disappeared (P = 0.110), but the PN was still associated with HOMA-IR (OR 1.2; 95% CI 1.1, 1.4, P < 0.001). Conclusions In metabolic syndrome, insulin resistance might play an important role in the development of peripheral neuropathy. © Han et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
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title_short	Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome
url	https://dx.doi.org/10.1186/s13098-015-0010-y
remote_bool	true
author2	Ji, Lijin Chang, Jing Wen, Jian Zhao, Wenting Shi, Hongli Zhou, Linuo Li, Yiming Hu, Renming Hu, Ji Lu, Bin
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