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Diabetes and obesity are the main metabolic drivers of peripheral neuropathy
Objective To determine the associations between individual metabolic syndrome (MetS) components and peripheral neuropathy in a large population‐based cohort from Pinggu, China. Methods A cross‐sectional, randomly selected, population‐based survey of participants from Pinggu, China was performed. Met...
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Published in: | Annals of clinical and translational neurology 2018-04, Vol.5 (4), p.397-405 |
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container_title | Annals of clinical and translational neurology |
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creator | Callaghan, Brian C. Gao, LeiLi Li, Yufeng Zhou, Xianghai Reynolds, Evan Banerjee, Mousumi Pop‐Busui, Rodica Feldman, Eva L. Ji, Linong |
description | Objective
To determine the associations between individual metabolic syndrome (MetS) components and peripheral neuropathy in a large population‐based cohort from Pinggu, China.
Methods
A cross‐sectional, randomly selected, population‐based survey of participants from Pinggu, China was performed. Metabolic phenotyping and neuropathy outcomes were performed by trained personnel. Glycemic status was defined according to the American Diabetes Association criteria, and the MetS using modified consensus criteria (body mass index instead of waist circumference). The primary peripheral neuropathy outcome was the Michigan Neuropathy Screening Instrument (MNSI) examination. Secondary outcomes were the MNSI questionnaire and monofilament testing. Multivariable models were used to assess for associations between individual MetS components and peripheral neuropathy. Tree‐based methods were used to construct a classifier for peripheral neuropathy using demographics and MetS components.
Results
The mean (SD) age of the 4002 participants was 51.6 (11.8) and 51.0% were male; 37.2% of the population had normoglycemia, 44.0% prediabetes, and 18.9% diabetes. The prevalence of peripheral neuropathy increased with worsening glycemic status (3.25% in normoglycemia, 6.29% in prediabetes, and 15.12% in diabetes, P < 0.0001). Diabetes (odds ratio [OR] 2.60, 95% CI 1.77–3.80) and weight (OR 1.09, 95% CI 1.02–1.18) were significantly associated with peripheral neuropathy. Age, diabetes, and weight were the primary splitters in the classification tree for peripheral neuropathy.
Interpretation
Similar to previous studies, diabetes and obesity are the main metabolic drivers of peripheral neuropathy. The consistency of these results reinforces the urgent need for effective interventions that target these metabolic factors to prevent and/or treat peripheral neuropathy. |
doi_str_mv | 10.1002/acn3.531 |
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To determine the associations between individual metabolic syndrome (MetS) components and peripheral neuropathy in a large population‐based cohort from Pinggu, China.
Methods
A cross‐sectional, randomly selected, population‐based survey of participants from Pinggu, China was performed. Metabolic phenotyping and neuropathy outcomes were performed by trained personnel. Glycemic status was defined according to the American Diabetes Association criteria, and the MetS using modified consensus criteria (body mass index instead of waist circumference). The primary peripheral neuropathy outcome was the Michigan Neuropathy Screening Instrument (MNSI) examination. Secondary outcomes were the MNSI questionnaire and monofilament testing. Multivariable models were used to assess for associations between individual MetS components and peripheral neuropathy. Tree‐based methods were used to construct a classifier for peripheral neuropathy using demographics and MetS components.
Results
The mean (SD) age of the 4002 participants was 51.6 (11.8) and 51.0% were male; 37.2% of the population had normoglycemia, 44.0% prediabetes, and 18.9% diabetes. The prevalence of peripheral neuropathy increased with worsening glycemic status (3.25% in normoglycemia, 6.29% in prediabetes, and 15.12% in diabetes, P < 0.0001). Diabetes (odds ratio [OR] 2.60, 95% CI 1.77–3.80) and weight (OR 1.09, 95% CI 1.02–1.18) were significantly associated with peripheral neuropathy. Age, diabetes, and weight were the primary splitters in the classification tree for peripheral neuropathy.
Interpretation
Similar to previous studies, diabetes and obesity are the main metabolic drivers of peripheral neuropathy. The consistency of these results reinforces the urgent need for effective interventions that target these metabolic factors to prevent and/or treat peripheral neuropathy.</description><identifier>ISSN: 2328-9503</identifier><identifier>EISSN: 2328-9503</identifier><identifier>DOI: 10.1002/acn3.531</identifier><identifier>PMID: 29687018</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Diabetes ; Metabolism ; Obesity ; Peripheral neuropathy</subject><ispartof>Annals of clinical and translational neurology, 2018-04, Vol.5 (4), p.397-405</ispartof><rights>2018 The Authors. published by Wiley Periodicals, Inc on behalf of American Neurological Association.</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4381-93ed8dd01fbcb697401f2043c8f637dd19d356fe96135672920b9235bd66cd133</citedby><cites>FETCH-LOGICAL-c4381-93ed8dd01fbcb697401f2043c8f637dd19d356fe96135672920b9235bd66cd133</cites><orcidid>0000-0002-8885-6748</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2025089350/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2025089350?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,11541,25731,27901,27902,36989,36990,44566,46027,46451,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29687018$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Callaghan, Brian C.</creatorcontrib><creatorcontrib>Gao, LeiLi</creatorcontrib><creatorcontrib>Li, Yufeng</creatorcontrib><creatorcontrib>Zhou, Xianghai</creatorcontrib><creatorcontrib>Reynolds, Evan</creatorcontrib><creatorcontrib>Banerjee, Mousumi</creatorcontrib><creatorcontrib>Pop‐Busui, Rodica</creatorcontrib><creatorcontrib>Feldman, Eva L.</creatorcontrib><creatorcontrib>Ji, Linong</creatorcontrib><title>Diabetes and obesity are the main metabolic drivers of peripheral neuropathy</title><title>Annals of clinical and translational neurology</title><addtitle>Ann Clin Transl Neurol</addtitle><description>Objective
To determine the associations between individual metabolic syndrome (MetS) components and peripheral neuropathy in a large population‐based cohort from Pinggu, China.
Methods
A cross‐sectional, randomly selected, population‐based survey of participants from Pinggu, China was performed. Metabolic phenotyping and neuropathy outcomes were performed by trained personnel. Glycemic status was defined according to the American Diabetes Association criteria, and the MetS using modified consensus criteria (body mass index instead of waist circumference). The primary peripheral neuropathy outcome was the Michigan Neuropathy Screening Instrument (MNSI) examination. Secondary outcomes were the MNSI questionnaire and monofilament testing. Multivariable models were used to assess for associations between individual MetS components and peripheral neuropathy. Tree‐based methods were used to construct a classifier for peripheral neuropathy using demographics and MetS components.
Results
The mean (SD) age of the 4002 participants was 51.6 (11.8) and 51.0% were male; 37.2% of the population had normoglycemia, 44.0% prediabetes, and 18.9% diabetes. The prevalence of peripheral neuropathy increased with worsening glycemic status (3.25% in normoglycemia, 6.29% in prediabetes, and 15.12% in diabetes, P < 0.0001). Diabetes (odds ratio [OR] 2.60, 95% CI 1.77–3.80) and weight (OR 1.09, 95% CI 1.02–1.18) were significantly associated with peripheral neuropathy. Age, diabetes, and weight were the primary splitters in the classification tree for peripheral neuropathy.
Interpretation
Similar to previous studies, diabetes and obesity are the main metabolic drivers of peripheral neuropathy. The consistency of these results reinforces the urgent need for effective interventions that target these metabolic factors to prevent and/or treat peripheral neuropathy.</description><subject>Diabetes</subject><subject>Metabolism</subject><subject>Obesity</subject><subject>Peripheral neuropathy</subject><issn>2328-9503</issn><issn>2328-9503</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><recordid>eNp1kU1r3DAQhkVp6YY00F8QBLn04kTS-EuXwrJtk8CSXNKzkKVxV4ttOZKdsP--WpIu20BOM6CHh1fzEvKVs0vOmLjSZoDLAvgHciJA1JksGHw82hfkLMYtY4xzUUAlPpOFkGVdMV6fkPUPpxucMFI9WOobjG7aUR2QThukvXYD7XHSje-coTa4JwyR-paOGNy4waA7OuAc_Kinze4L-dTqLuLZ6zwlv3_9fFjdZOv769vVcp2ZHGqeSUBbW8t425imlFWeNsFyMHVbQmUtlxaKskVZ8jQrIQVrpICisWVpLAc4Jd9fvOPc9GgNDlMKosbgeh12ymun_n8Z3Eb98U-qqKWUTCbBt1dB8I8zxkn1LhrsOj2gn6MSDDgDyHme0Is36NbPYUjfS5QoWC0h3fggNMHHGLA9hOFM7VtS-5ZUaimh58fhD-C_ThKQvQDPrsPduyK1XN3BXvgX17-ajw</recordid><startdate>201804</startdate><enddate>201804</enddate><creator>Callaghan, Brian C.</creator><creator>Gao, LeiLi</creator><creator>Li, Yufeng</creator><creator>Zhou, Xianghai</creator><creator>Reynolds, Evan</creator><creator>Banerjee, Mousumi</creator><creator>Pop‐Busui, Rodica</creator><creator>Feldman, Eva L.</creator><creator>Ji, Linong</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M2M</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8885-6748</orcidid></search><sort><creationdate>201804</creationdate><title>Diabetes and obesity are the main metabolic drivers of peripheral neuropathy</title><author>Callaghan, Brian C. ; Gao, LeiLi ; Li, Yufeng ; Zhou, Xianghai ; Reynolds, Evan ; Banerjee, Mousumi ; Pop‐Busui, Rodica ; Feldman, Eva L. ; Ji, Linong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4381-93ed8dd01fbcb697401f2043c8f637dd19d356fe96135672920b9235bd66cd133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Diabetes</topic><topic>Metabolism</topic><topic>Obesity</topic><topic>Peripheral neuropathy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Callaghan, Brian C.</creatorcontrib><creatorcontrib>Gao, LeiLi</creatorcontrib><creatorcontrib>Li, Yufeng</creatorcontrib><creatorcontrib>Zhou, Xianghai</creatorcontrib><creatorcontrib>Reynolds, Evan</creatorcontrib><creatorcontrib>Banerjee, Mousumi</creatorcontrib><creatorcontrib>Pop‐Busui, Rodica</creatorcontrib><creatorcontrib>Feldman, Eva L.</creatorcontrib><creatorcontrib>Ji, Linong</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Psychology Database (ProQuest)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Annals of clinical and translational neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Callaghan, Brian C.</au><au>Gao, LeiLi</au><au>Li, Yufeng</au><au>Zhou, Xianghai</au><au>Reynolds, Evan</au><au>Banerjee, Mousumi</au><au>Pop‐Busui, Rodica</au><au>Feldman, Eva L.</au><au>Ji, Linong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diabetes and obesity are the main metabolic drivers of peripheral neuropathy</atitle><jtitle>Annals of clinical and translational neurology</jtitle><addtitle>Ann Clin Transl Neurol</addtitle><date>2018-04</date><risdate>2018</risdate><volume>5</volume><issue>4</issue><spage>397</spage><epage>405</epage><pages>397-405</pages><issn>2328-9503</issn><eissn>2328-9503</eissn><abstract>Objective
To determine the associations between individual metabolic syndrome (MetS) components and peripheral neuropathy in a large population‐based cohort from Pinggu, China.
Methods
A cross‐sectional, randomly selected, population‐based survey of participants from Pinggu, China was performed. Metabolic phenotyping and neuropathy outcomes were performed by trained personnel. Glycemic status was defined according to the American Diabetes Association criteria, and the MetS using modified consensus criteria (body mass index instead of waist circumference). The primary peripheral neuropathy outcome was the Michigan Neuropathy Screening Instrument (MNSI) examination. Secondary outcomes were the MNSI questionnaire and monofilament testing. Multivariable models were used to assess for associations between individual MetS components and peripheral neuropathy. Tree‐based methods were used to construct a classifier for peripheral neuropathy using demographics and MetS components.
Results
The mean (SD) age of the 4002 participants was 51.6 (11.8) and 51.0% were male; 37.2% of the population had normoglycemia, 44.0% prediabetes, and 18.9% diabetes. The prevalence of peripheral neuropathy increased with worsening glycemic status (3.25% in normoglycemia, 6.29% in prediabetes, and 15.12% in diabetes, P < 0.0001). Diabetes (odds ratio [OR] 2.60, 95% CI 1.77–3.80) and weight (OR 1.09, 95% CI 1.02–1.18) were significantly associated with peripheral neuropathy. Age, diabetes, and weight were the primary splitters in the classification tree for peripheral neuropathy.
Interpretation
Similar to previous studies, diabetes and obesity are the main metabolic drivers of peripheral neuropathy. The consistency of these results reinforces the urgent need for effective interventions that target these metabolic factors to prevent and/or treat peripheral neuropathy.</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>29687018</pmid><doi>10.1002/acn3.531</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-8885-6748</orcidid><oa>free_for_read</oa></addata></record> |
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source | Wiley Online Library Open Access; Publicly Available Content Database; PubMed Central |
subjects | Diabetes Metabolism Obesity Peripheral neuropathy |
title | Diabetes and obesity are the main metabolic drivers of peripheral neuropathy |
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