Fasting insulin at baseline influences the number of cardiometabolic risk factors and R-R interval at 3years in a healthy population: The RISC Study
This was a cross-sectional and longitudinal study of factors contributing to the number of cardiometabolic risk factors, common carotid artery intima–media thickness (CCA-IMT) and R-R interval in clinically healthy subjects without diabetes. Anthropometric and cardiometabolic parameters were measure...
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| Veröffentlicht in: | Diabetes & metabolism 2013-09, Vol.39 (4), p.330-336 |
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| creator | Pataky, Z. Golay, A. Laville, M. Disse, E. Mitrakou, A. Guidone, C. Gabriel, R. Bobbioni-Harsch, E. |
| description | This was a cross-sectional and longitudinal study of factors contributing to the number of cardiometabolic risk factors, common carotid artery intima–media thickness (CCA-IMT) and R-R interval in clinically healthy subjects without diabetes.
Anthropometric and cardiometabolic parameters were measured in the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) Study cohort at baseline (n=1211) and 3years later (n=974). At baseline, insulin sensitivity was assessed by the euglycaemic clamp technique. The CCA-IMT was echographically measured and the R-R interval was electrocardiographically evaluated at baseline and at the 3-year follow-up.
Higher baseline BMI, fasting insulin and tobacco use as well as greater changes in BMI and fasting insulin but lower adiponectin levels, were associated with a greater number of cardiometabolic risk factors at the 3-year follow-up independently of insulin sensitivity (all P |
| doi_str_mv | 10.1016/j.diabet.2013.05.008 |
| format | Article |
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Anthropometric and cardiometabolic parameters were measured in the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) Study cohort at baseline (n=1211) and 3years later (n=974). At baseline, insulin sensitivity was assessed by the euglycaemic clamp technique. The CCA-IMT was echographically measured and the R-R interval was electrocardiographically evaluated at baseline and at the 3-year follow-up.
Higher baseline BMI, fasting insulin and tobacco use as well as greater changes in BMI and fasting insulin but lower adiponectin levels, were associated with a greater number of cardiometabolic risk factors at the 3-year follow-up independently of insulin sensitivity (all P<0.02). The CCA-IMT increased with the number of cardiometabolic risk factors (P=0.008), but was not related to fasting insulin, whereas higher fasting insulinaemia and its 3-year changes were significantly associated with a smaller R-R interval (P=0.005 and P=0.002, respectively). These relationships were independent of baseline age, gender, BMI, adiponectin, insulin sensitivity, tobacco use and physical activity.
In clinically healthy subjects, fasting insulinaemia, adiponectin and lifestyle parameters are related to the presence of one or two cardiometabolic risk factors before criteria for the metabolic syndrome are met. These results underline the importance of fasting insulinaemia as an independent cardiometabolic risk factor at an early stage of disease development in a healthy general population.
Examiner les contributeurs de facteurs de risque cardiométabolique dans une population cliniquement saine et sans diabète.
Les paramètres anthropométriques et cardio-métaboliques ont été mesurés dans la cohorte Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) au temps 0 (n=1211) et à trois ans (n=974). La sensibilité à l’insuline a été mesurée par la méthode de clamp hyperinsulinémique–euglycémique et l’épaisseur de la paroi de l’artère carotide interne (CCA-IMT) a été mesurée par l’échographie. L’intervalle R-R a été mesuré par un électrocardiogramme.
Au temps 0, une indice de masse corporelle (IMC) élevée, l’hyperinsulinémie à jeun et la consommation du tabac, une augmentation de l’IMC et de l’insulinémie à jeun, ainsi que des taux d’adiponectine basses à trois ans ont été associé à l’augmentation du nombre de facteurs de risque cardiométabolique à trois ans, indépendamment de la sensibilité à l’insuline (P<0,02 pour tous). La CCA-IMT augmentait avec l’augmentation du nombre de facteurs de risque cardiométabolique (P=0,008). L’hyperinsulinémie au temps 0 et ses modifications à trois ans ont été associée à l’interval R-R (P=0,005, 0,002, respectivement). Ces associations ont été indépendantes de l’âge, sexe, IMC, adiponectine, sensibilité à l’insuline, consommation du tabac et activité physique au temps 0.
Dans une population saine, l’insulinémie à jeun, l’adiponectine et le mode de vie sont associés à la présence d’un ou de deux facteurs de risque cardiométabolique, avant que les critères du syndrome métabolique se réunissent. Nos résultats confirment l’hyperinsulinémie à jeun comme facteur de risque cardiométabolique indépendant.</description><identifier>ISSN: 1262-3636</identifier><identifier>EISSN: 1878-1780</identifier><identifier>DOI: 10.1016/j.diabet.2013.05.008</identifier><identifier>PMID: 23876398</identifier><language>eng</language><publisher>France: Elsevier Masson SAS</publisher><subject>Adult ; Cardiometabolic risk factors ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - etiology ; Carotid Intima-Media Thickness ; Cross-Sectional Studies ; Electrocardiography ; Facteurs de risque cardio-métabolique ; Fasting - blood ; Fasting insulin ; Female ; Health ; Humans ; Insulin - blood ; Insulinémie à jeun ; Lifestyle ; Male ; Metabolic Syndrome - blood ; Metabolic Syndrome - etiology ; Middle Aged ; Mode de vie ; Risk Factors</subject><ispartof>Diabetes & metabolism, 2013-09, Vol.39 (4), p.330-336</ispartof><rights>2013 Elsevier Masson SAS</rights><rights>Copyright © 2013 Elsevier Masson SAS. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c277t-220103997e73fdc3f8185cfd48b7cbe7b380840147013c8b60e98640a0f6f7a83</citedby><cites>FETCH-LOGICAL-c277t-220103997e73fdc3f8185cfd48b7cbe7b380840147013c8b60e98640a0f6f7a83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1262363613001249$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23876398$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pataky, Z.</creatorcontrib><creatorcontrib>Golay, A.</creatorcontrib><creatorcontrib>Laville, M.</creatorcontrib><creatorcontrib>Disse, E.</creatorcontrib><creatorcontrib>Mitrakou, A.</creatorcontrib><creatorcontrib>Guidone, C.</creatorcontrib><creatorcontrib>Gabriel, R.</creatorcontrib><creatorcontrib>Bobbioni-Harsch, E.</creatorcontrib><creatorcontrib>RISC Investigators</creatorcontrib><title>Fasting insulin at baseline influences the number of cardiometabolic risk factors and R-R interval at 3years in a healthy population: The RISC Study</title><title>Diabetes & metabolism</title><addtitle>Diabetes Metab</addtitle><description>This was a cross-sectional and longitudinal study of factors contributing to the number of cardiometabolic risk factors, common carotid artery intima–media thickness (CCA-IMT) and R-R interval in clinically healthy subjects without diabetes.
Anthropometric and cardiometabolic parameters were measured in the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) Study cohort at baseline (n=1211) and 3years later (n=974). At baseline, insulin sensitivity was assessed by the euglycaemic clamp technique. The CCA-IMT was echographically measured and the R-R interval was electrocardiographically evaluated at baseline and at the 3-year follow-up.
Higher baseline BMI, fasting insulin and tobacco use as well as greater changes in BMI and fasting insulin but lower adiponectin levels, were associated with a greater number of cardiometabolic risk factors at the 3-year follow-up independently of insulin sensitivity (all P<0.02). The CCA-IMT increased with the number of cardiometabolic risk factors (P=0.008), but was not related to fasting insulin, whereas higher fasting insulinaemia and its 3-year changes were significantly associated with a smaller R-R interval (P=0.005 and P=0.002, respectively). These relationships were independent of baseline age, gender, BMI, adiponectin, insulin sensitivity, tobacco use and physical activity.
In clinically healthy subjects, fasting insulinaemia, adiponectin and lifestyle parameters are related to the presence of one or two cardiometabolic risk factors before criteria for the metabolic syndrome are met. These results underline the importance of fasting insulinaemia as an independent cardiometabolic risk factor at an early stage of disease development in a healthy general population.
Examiner les contributeurs de facteurs de risque cardiométabolique dans une population cliniquement saine et sans diabète.
Les paramètres anthropométriques et cardio-métaboliques ont été mesurés dans la cohorte Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) au temps 0 (n=1211) et à trois ans (n=974). La sensibilité à l’insuline a été mesurée par la méthode de clamp hyperinsulinémique–euglycémique et l’épaisseur de la paroi de l’artère carotide interne (CCA-IMT) a été mesurée par l’échographie. L’intervalle R-R a été mesuré par un électrocardiogramme.
Au temps 0, une indice de masse corporelle (IMC) élevée, l’hyperinsulinémie à jeun et la consommation du tabac, une augmentation de l’IMC et de l’insulinémie à jeun, ainsi que des taux d’adiponectine basses à trois ans ont été associé à l’augmentation du nombre de facteurs de risque cardiométabolique à trois ans, indépendamment de la sensibilité à l’insuline (P<0,02 pour tous). La CCA-IMT augmentait avec l’augmentation du nombre de facteurs de risque cardiométabolique (P=0,008). L’hyperinsulinémie au temps 0 et ses modifications à trois ans ont été associée à l’interval R-R (P=0,005, 0,002, respectivement). Ces associations ont été indépendantes de l’âge, sexe, IMC, adiponectine, sensibilité à l’insuline, consommation du tabac et activité physique au temps 0.
Dans une population saine, l’insulinémie à jeun, l’adiponectine et le mode de vie sont associés à la présence d’un ou de deux facteurs de risque cardiométabolique, avant que les critères du syndrome métabolique se réunissent. Nos résultats confirment l’hyperinsulinémie à jeun comme facteur de risque cardiométabolique indépendant.</description><subject>Adult</subject><subject>Cardiometabolic risk factors</subject><subject>Cardiovascular Diseases - blood</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Carotid Intima-Media Thickness</subject><subject>Cross-Sectional Studies</subject><subject>Electrocardiography</subject><subject>Facteurs de risque cardio-métabolique</subject><subject>Fasting - blood</subject><subject>Fasting insulin</subject><subject>Female</subject><subject>Health</subject><subject>Humans</subject><subject>Insulin - blood</subject><subject>Insulinémie à jeun</subject><subject>Lifestyle</subject><subject>Male</subject><subject>Metabolic Syndrome - blood</subject><subject>Metabolic Syndrome - etiology</subject><subject>Middle Aged</subject><subject>Mode de vie</subject><subject>Risk Factors</subject><issn>1262-3636</issn><issn>1878-1780</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc9u1DAQxi0EoqXwBgj5yCXBjrO2wwEJrVqoVAlpW86W_4xZL0m82E6lfQ8eGEdbOHLyyPN932jmh9BbSlpKKP9waF3QBkrbEcpasmkJkc_QJZVCNlRI8rzWHe8axhm_QK9yPhBCu4HJl-iiY1JwNshL9PtG5xLmHzjMeRnDjHXBRmeoJdQ_Py4wW8i47AHPy2Qg4eix1cmFOEHRJo7B4hTyT-y1LTFlrGeHd82uugukRz2ukewEurbWfLwHPZb9CR_jcRl1CXH-iB9q_O72fovvy-JOr9ELr8cMb57eK_T95vph-7W5-_bldvv5rrGdEKXp6uaEDYMAwbyzzEsqN9a7XhphDQjDJJE9ob2oF7LScAKD5D3RxHMvtGRX6P0595jirwVyUVPIFsZRzxCXrGjPWMc52_RV2p-lNsWcE3h1TGHS6aQoUSsPdVBnHmrlochGVR7V9u5pwmImcP9MfwFUwaezAOqejwGSyjasJ3chgS3KxfD_CX8AZgiejQ</recordid><startdate>201309</startdate><enddate>201309</enddate><creator>Pataky, Z.</creator><creator>Golay, A.</creator><creator>Laville, M.</creator><creator>Disse, E.</creator><creator>Mitrakou, A.</creator><creator>Guidone, C.</creator><creator>Gabriel, R.</creator><creator>Bobbioni-Harsch, E.</creator><general>Elsevier Masson SAS</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201309</creationdate><title>Fasting insulin at baseline influences the number of cardiometabolic risk factors and R-R interval at 3years in a healthy population: The RISC Study</title><author>Pataky, Z. ; Golay, A. ; Laville, M. ; Disse, E. ; Mitrakou, A. ; Guidone, C. ; Gabriel, R. ; Bobbioni-Harsch, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c277t-220103997e73fdc3f8185cfd48b7cbe7b380840147013c8b60e98640a0f6f7a83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Cardiometabolic risk factors</topic><topic>Cardiovascular Diseases - blood</topic><topic>Cardiovascular Diseases - etiology</topic><topic>Carotid Intima-Media Thickness</topic><topic>Cross-Sectional Studies</topic><topic>Electrocardiography</topic><topic>Facteurs de risque cardio-métabolique</topic><topic>Fasting - blood</topic><topic>Fasting insulin</topic><topic>Female</topic><topic>Health</topic><topic>Humans</topic><topic>Insulin - blood</topic><topic>Insulinémie à jeun</topic><topic>Lifestyle</topic><topic>Male</topic><topic>Metabolic Syndrome - blood</topic><topic>Metabolic Syndrome - etiology</topic><topic>Middle Aged</topic><topic>Mode de vie</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pataky, Z.</creatorcontrib><creatorcontrib>Golay, A.</creatorcontrib><creatorcontrib>Laville, M.</creatorcontrib><creatorcontrib>Disse, E.</creatorcontrib><creatorcontrib>Mitrakou, A.</creatorcontrib><creatorcontrib>Guidone, C.</creatorcontrib><creatorcontrib>Gabriel, R.</creatorcontrib><creatorcontrib>Bobbioni-Harsch, E.</creatorcontrib><creatorcontrib>RISC Investigators</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes & metabolism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pataky, Z.</au><au>Golay, A.</au><au>Laville, M.</au><au>Disse, E.</au><au>Mitrakou, A.</au><au>Guidone, C.</au><au>Gabriel, R.</au><au>Bobbioni-Harsch, E.</au><aucorp>RISC Investigators</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fasting insulin at baseline influences the number of cardiometabolic risk factors and R-R interval at 3years in a healthy population: The RISC Study</atitle><jtitle>Diabetes & metabolism</jtitle><addtitle>Diabetes Metab</addtitle><date>2013-09</date><risdate>2013</risdate><volume>39</volume><issue>4</issue><spage>330</spage><epage>336</epage><pages>330-336</pages><issn>1262-3636</issn><eissn>1878-1780</eissn><abstract>This was a cross-sectional and longitudinal study of factors contributing to the number of cardiometabolic risk factors, common carotid artery intima–media thickness (CCA-IMT) and R-R interval in clinically healthy subjects without diabetes.
Anthropometric and cardiometabolic parameters were measured in the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) Study cohort at baseline (n=1211) and 3years later (n=974). At baseline, insulin sensitivity was assessed by the euglycaemic clamp technique. The CCA-IMT was echographically measured and the R-R interval was electrocardiographically evaluated at baseline and at the 3-year follow-up.
Higher baseline BMI, fasting insulin and tobacco use as well as greater changes in BMI and fasting insulin but lower adiponectin levels, were associated with a greater number of cardiometabolic risk factors at the 3-year follow-up independently of insulin sensitivity (all P<0.02). The CCA-IMT increased with the number of cardiometabolic risk factors (P=0.008), but was not related to fasting insulin, whereas higher fasting insulinaemia and its 3-year changes were significantly associated with a smaller R-R interval (P=0.005 and P=0.002, respectively). These relationships were independent of baseline age, gender, BMI, adiponectin, insulin sensitivity, tobacco use and physical activity.
In clinically healthy subjects, fasting insulinaemia, adiponectin and lifestyle parameters are related to the presence of one or two cardiometabolic risk factors before criteria for the metabolic syndrome are met. These results underline the importance of fasting insulinaemia as an independent cardiometabolic risk factor at an early stage of disease development in a healthy general population.
Examiner les contributeurs de facteurs de risque cardiométabolique dans une population cliniquement saine et sans diabète.
Les paramètres anthropométriques et cardio-métaboliques ont été mesurés dans la cohorte Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) au temps 0 (n=1211) et à trois ans (n=974). La sensibilité à l’insuline a été mesurée par la méthode de clamp hyperinsulinémique–euglycémique et l’épaisseur de la paroi de l’artère carotide interne (CCA-IMT) a été mesurée par l’échographie. L’intervalle R-R a été mesuré par un électrocardiogramme.
Au temps 0, une indice de masse corporelle (IMC) élevée, l’hyperinsulinémie à jeun et la consommation du tabac, une augmentation de l’IMC et de l’insulinémie à jeun, ainsi que des taux d’adiponectine basses à trois ans ont été associé à l’augmentation du nombre de facteurs de risque cardiométabolique à trois ans, indépendamment de la sensibilité à l’insuline (P<0,02 pour tous). La CCA-IMT augmentait avec l’augmentation du nombre de facteurs de risque cardiométabolique (P=0,008). L’hyperinsulinémie au temps 0 et ses modifications à trois ans ont été associée à l’interval R-R (P=0,005, 0,002, respectivement). Ces associations ont été indépendantes de l’âge, sexe, IMC, adiponectine, sensibilité à l’insuline, consommation du tabac et activité physique au temps 0.
Dans une population saine, l’insulinémie à jeun, l’adiponectine et le mode de vie sont associés à la présence d’un ou de deux facteurs de risque cardiométabolique, avant que les critères du syndrome métabolique se réunissent. Nos résultats confirment l’hyperinsulinémie à jeun comme facteur de risque cardiométabolique indépendant.</abstract><cop>France</cop><pub>Elsevier Masson SAS</pub><pmid>23876398</pmid><doi>10.1016/j.diabet.2013.05.008</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1262-3636 |
| ispartof | Diabetes & metabolism, 2013-09, Vol.39 (4), p.330-336 |
| issn | 1262-3636 1878-1780 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1433266354 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Adult Cardiometabolic risk factors Cardiovascular Diseases - blood Cardiovascular Diseases - etiology Carotid Intima-Media Thickness Cross-Sectional Studies Electrocardiography Facteurs de risque cardio-métabolique Fasting - blood Fasting insulin Female Health Humans Insulin - blood Insulinémie à jeun Lifestyle Male Metabolic Syndrome - blood Metabolic Syndrome - etiology Middle Aged Mode de vie Risk Factors |
| title | Fasting insulin at baseline influences the number of cardiometabolic risk factors and R-R interval at 3years in a healthy population: The RISC Study |
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