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Noninvasive method to estimate anaerobic threshold in individuals with type 2 diabetes
While several studies have identified the anaerobic threshold (AT) through the responses of blood lactate, ventilation and blood glucose others have suggested the response of the heart rate variability (HRV) as a method to identify the AT in young healthy individuals. However, the validity of HRV in...
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Published in: | Diabetology and metabolic syndrome 2011-01, Vol.3 (1), p.1-1, Article 1 |
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description | While several studies have identified the anaerobic threshold (AT) through the responses of blood lactate, ventilation and blood glucose others have suggested the response of the heart rate variability (HRV) as a method to identify the AT in young healthy individuals. However, the validity of HRV in estimating the lactate threshold (LT) and ventilatory threshold (VT) for individuals with type 2 diabetes (T2D) has not been investigated yet.
To analyze the possibility of identifying the heart rate variability threshold (HRVT) by considering the responses of parasympathetic indicators during incremental exercise test in type 2 diabetics subjects (T2D) and non diabetics individuals (ND).
Nine T2D (55.6 ± 5.7 years, 83.4 ± 26.6 kg, 30.9 ± 5.2 kg.m2(-1)) and ten ND (50.8 ± 5.1 years, 76.2 ± 14.3 kg, 26.5 ± 3.8 kg.m2(-1)) underwent to an incremental exercise test (IT) on a cycle ergometer. Heart rate (HR), rate of perceived exertion (RPE), blood lactate and expired gas concentrations were measured at the end of each stage. HRVT was identified through the responses of root mean square successive difference between adjacent R-R intervals (RMSSD) and standard deviation of instantaneous beat-to-beat R-R interval variability (SD1) by considering the last 60 s of each incremental stage, and were known as HRVT by RMSSD and SD1 (HRVT-RMSSD and HRVT-SD1), respectively.
No differences were observed within groups for the exercise intensities corresponding to LT, VT, HRVT-RMSSD and HHVT-SD1. Furthermore, a strong relationship were verified among the studied parameters both for T2D (r = 0.68 to 0.87) and ND (r = 0.91 to 0.98) and the Bland & Altman technique confirmed the agreement among them.
The HRVT identification by the proposed autonomic indicators (SD1 and RMSSD) were demonstrated to be valid to estimate the LT and VT for both T2D and ND. |
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To analyze the possibility of identifying the heart rate variability threshold (HRVT) by considering the responses of parasympathetic indicators during incremental exercise test in type 2 diabetics subjects (T2D) and non diabetics individuals (ND).
Nine T2D (55.6 ± 5.7 years, 83.4 ± 26.6 kg, 30.9 ± 5.2 kg.m2(-1)) and ten ND (50.8 ± 5.1 years, 76.2 ± 14.3 kg, 26.5 ± 3.8 kg.m2(-1)) underwent to an incremental exercise test (IT) on a cycle ergometer. Heart rate (HR), rate of perceived exertion (RPE), blood lactate and expired gas concentrations were measured at the end of each stage. HRVT was identified through the responses of root mean square successive difference between adjacent R-R intervals (RMSSD) and standard deviation of instantaneous beat-to-beat R-R interval variability (SD1) by considering the last 60 s of each incremental stage, and were known as HRVT by RMSSD and SD1 (HRVT-RMSSD and HRVT-SD1), respectively.
No differences were observed within groups for the exercise intensities corresponding to LT, VT, HRVT-RMSSD and HHVT-SD1. Furthermore, a strong relationship were verified among the studied parameters both for T2D (r = 0.68 to 0.87) and ND (r = 0.91 to 0.98) and the Bland & Altman technique confirmed the agreement among them.
The HRVT identification by the proposed autonomic indicators (SD1 and RMSSD) were demonstrated to be valid to estimate the LT and VT for both T2D and ND.</description><identifier>ISSN: 1758-5996</identifier><identifier>EISSN: 1758-5996</identifier><identifier>DOI: 10.1186/1758-5996-3-1</identifier><identifier>PMID: 21226946</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Data collection ; Diabetes ; Diagnosis ; Exercise ; Exercise tests ; Heart beat ; Heart rate ; Methods ; Physical education ; Physiological aspects ; Standard deviation ; Studies ; Type 2 diabetes ; Validity</subject><ispartof>Diabetology and metabolic syndrome, 2011-01, Vol.3 (1), p.1-1, Article 1</ispartof><rights>COPYRIGHT 2011 BioMed Central Ltd.</rights><rights>2011 Sales et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright ©2011 Sales et al; licensee BioMed Central Ltd. 2011 Sales et al; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b634t-470d2dba2eb259b6a96a6e5dcba653b55d7ca2c11b5edae5aa271c791eabad263</citedby><cites>FETCH-LOGICAL-b634t-470d2dba2eb259b6a96a6e5dcba653b55d7ca2c11b5edae5aa271c791eabad263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3033241/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/902560934?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21226946$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sales, Marcelo M</creatorcontrib><creatorcontrib>Campbell, Carmen Sílvia G</creatorcontrib><creatorcontrib>Morais, Pâmella K</creatorcontrib><creatorcontrib>Ernesto, Carlos</creatorcontrib><creatorcontrib>Soares-Caldeira, Lúcio F</creatorcontrib><creatorcontrib>Russo, Paulo</creatorcontrib><creatorcontrib>Motta, Daisy F</creatorcontrib><creatorcontrib>Moreira, Sérgio R</creatorcontrib><creatorcontrib>Nakamura, Fábio Y</creatorcontrib><creatorcontrib>Simões, Herbert G</creatorcontrib><title>Noninvasive method to estimate anaerobic threshold in individuals with type 2 diabetes</title><title>Diabetology and metabolic syndrome</title><addtitle>Diabetol Metab Syndr</addtitle><description>While several studies have identified the anaerobic threshold (AT) through the responses of blood lactate, ventilation and blood glucose others have suggested the response of the heart rate variability (HRV) as a method to identify the AT in young healthy individuals. However, the validity of HRV in estimating the lactate threshold (LT) and ventilatory threshold (VT) for individuals with type 2 diabetes (T2D) has not been investigated yet.
To analyze the possibility of identifying the heart rate variability threshold (HRVT) by considering the responses of parasympathetic indicators during incremental exercise test in type 2 diabetics subjects (T2D) and non diabetics individuals (ND).
Nine T2D (55.6 ± 5.7 years, 83.4 ± 26.6 kg, 30.9 ± 5.2 kg.m2(-1)) and ten ND (50.8 ± 5.1 years, 76.2 ± 14.3 kg, 26.5 ± 3.8 kg.m2(-1)) underwent to an incremental exercise test (IT) on a cycle ergometer. Heart rate (HR), rate of perceived exertion (RPE), blood lactate and expired gas concentrations were measured at the end of each stage. HRVT was identified through the responses of root mean square successive difference between adjacent R-R intervals (RMSSD) and standard deviation of instantaneous beat-to-beat R-R interval variability (SD1) by considering the last 60 s of each incremental stage, and were known as HRVT by RMSSD and SD1 (HRVT-RMSSD and HRVT-SD1), respectively.
No differences were observed within groups for the exercise intensities corresponding to LT, VT, HRVT-RMSSD and HHVT-SD1. Furthermore, a strong relationship were verified among the studied parameters both for T2D (r = 0.68 to 0.87) and ND (r = 0.91 to 0.98) and the Bland & Altman technique confirmed the agreement among them.
The HRVT identification by the proposed autonomic indicators (SD1 and RMSSD) were demonstrated to be valid to estimate the LT and VT for both T2D and ND.</description><subject>Data collection</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Exercise</subject><subject>Exercise tests</subject><subject>Heart beat</subject><subject>Heart rate</subject><subject>Methods</subject><subject>Physical education</subject><subject>Physiological aspects</subject><subject>Standard deviation</subject><subject>Studies</subject><subject>Type 2 diabetes</subject><subject>Validity</subject><issn>1758-5996</issn><issn>1758-5996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1ks2P1CAUwBujcT_06NU0muipa4FCy8W42ay6yUYv6pU84HXKpC1joWP2v5c662TGj0BCy_vxA94jy56R8oKQRrwhNW8KLqUoWEEeZKf7_4cH3yfZWQjrshQ1r6vH2QkllApZidPs2yc_unELwW0xHzB23ubR5xiiGyBiDiPg5LUzeewmDJ3vbe7G1K3bOjtDH_IfLnZ5vNtgTnPrQGPE8CR71KYYPr0fz7Ov76-_XH0sbj9_uLm6vC20YFUsqrq01GqgqCmXWoAUIJBbo0Fwpjm3tQFqCNEcLSAHoDUxtSQIGiwV7Dy72Xmth7XaTOnQ053y4NSvCT-tFEzRmR4VZY2sQUjSUKwMbaEktS2NqdJuCC1Nrrc712bWA1qDY5ygP5IeR0bXqZXfKlYyRiuSBO92Au38fwTHEeMHtdRILTVSTC2K1_dnmPz3OVVBDS4Y7HsY0c9BNZWsqKz5Qr74g1z7eRpTspUsKRelZFWCXu6gFaQMuLH1aV-zKNUlrRoqKeMsURf_oFKzODjjR2xdmj9a8OpgQYfQxy74fo7Oj-EYLHagmXwIE7b7ZJBSLc_3r-s_PyzBnv79XtlPHJHrZQ</recordid><startdate>20110112</startdate><enddate>20110112</enddate><creator>Sales, Marcelo M</creator><creator>Campbell, Carmen Sílvia G</creator><creator>Morais, Pâmella K</creator><creator>Ernesto, Carlos</creator><creator>Soares-Caldeira, Lúcio F</creator><creator>Russo, Paulo</creator><creator>Motta, Daisy F</creator><creator>Moreira, Sérgio R</creator><creator>Nakamura, Fábio Y</creator><creator>Simões, Herbert G</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</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>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20110112</creationdate><title>Noninvasive method to estimate anaerobic threshold in individuals with type 2 diabetes</title><author>Sales, Marcelo M ; Campbell, Carmen Sílvia G ; Morais, Pâmella K ; Ernesto, Carlos ; Soares-Caldeira, Lúcio F ; Russo, Paulo ; Motta, Daisy F ; Moreira, Sérgio R ; Nakamura, Fábio Y ; Simões, Herbert G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b634t-470d2dba2eb259b6a96a6e5dcba653b55d7ca2c11b5edae5aa271c791eabad263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Data collection</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Exercise</topic><topic>Exercise tests</topic><topic>Heart beat</topic><topic>Heart rate</topic><topic>Methods</topic><topic>Physical education</topic><topic>Physiological aspects</topic><topic>Standard deviation</topic><topic>Studies</topic><topic>Type 2 diabetes</topic><topic>Validity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sales, Marcelo M</creatorcontrib><creatorcontrib>Campbell, Carmen Sílvia G</creatorcontrib><creatorcontrib>Morais, Pâmella K</creatorcontrib><creatorcontrib>Ernesto, Carlos</creatorcontrib><creatorcontrib>Soares-Caldeira, Lúcio F</creatorcontrib><creatorcontrib>Russo, Paulo</creatorcontrib><creatorcontrib>Motta, Daisy F</creatorcontrib><creatorcontrib>Moreira, Sérgio R</creatorcontrib><creatorcontrib>Nakamura, Fábio Y</creatorcontrib><creatorcontrib>Simões, Herbert G</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Diabetology and metabolic syndrome</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sales, Marcelo M</au><au>Campbell, Carmen Sílvia G</au><au>Morais, Pâmella K</au><au>Ernesto, Carlos</au><au>Soares-Caldeira, Lúcio F</au><au>Russo, Paulo</au><au>Motta, Daisy F</au><au>Moreira, Sérgio R</au><au>Nakamura, Fábio Y</au><au>Simões, Herbert G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Noninvasive method to estimate anaerobic threshold in individuals with type 2 diabetes</atitle><jtitle>Diabetology and metabolic syndrome</jtitle><addtitle>Diabetol Metab Syndr</addtitle><date>2011-01-12</date><risdate>2011</risdate><volume>3</volume><issue>1</issue><spage>1</spage><epage>1</epage><pages>1-1</pages><artnum>1</artnum><issn>1758-5996</issn><eissn>1758-5996</eissn><abstract>While several studies have identified the anaerobic threshold (AT) through the responses of blood lactate, ventilation and blood glucose others have suggested the response of the heart rate variability (HRV) as a method to identify the AT in young healthy individuals. However, the validity of HRV in estimating the lactate threshold (LT) and ventilatory threshold (VT) for individuals with type 2 diabetes (T2D) has not been investigated yet.
To analyze the possibility of identifying the heart rate variability threshold (HRVT) by considering the responses of parasympathetic indicators during incremental exercise test in type 2 diabetics subjects (T2D) and non diabetics individuals (ND).
Nine T2D (55.6 ± 5.7 years, 83.4 ± 26.6 kg, 30.9 ± 5.2 kg.m2(-1)) and ten ND (50.8 ± 5.1 years, 76.2 ± 14.3 kg, 26.5 ± 3.8 kg.m2(-1)) underwent to an incremental exercise test (IT) on a cycle ergometer. Heart rate (HR), rate of perceived exertion (RPE), blood lactate and expired gas concentrations were measured at the end of each stage. HRVT was identified through the responses of root mean square successive difference between adjacent R-R intervals (RMSSD) and standard deviation of instantaneous beat-to-beat R-R interval variability (SD1) by considering the last 60 s of each incremental stage, and were known as HRVT by RMSSD and SD1 (HRVT-RMSSD and HRVT-SD1), respectively.
No differences were observed within groups for the exercise intensities corresponding to LT, VT, HRVT-RMSSD and HHVT-SD1. Furthermore, a strong relationship were verified among the studied parameters both for T2D (r = 0.68 to 0.87) and ND (r = 0.91 to 0.98) and the Bland & Altman technique confirmed the agreement among them.
The HRVT identification by the proposed autonomic indicators (SD1 and RMSSD) were demonstrated to be valid to estimate the LT and VT for both T2D and ND.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>21226946</pmid><doi>10.1186/1758-5996-3-1</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Data collection Diabetes Diagnosis Exercise Exercise tests Heart beat Heart rate Methods Physical education Physiological aspects Standard deviation Studies Type 2 diabetes Validity |
title | Noninvasive method to estimate anaerobic threshold in individuals with type 2 diabetes |
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