Associations of age-dependent IGF-I SDS with cardiovascular diseases and risk conditions: cross-sectional study in 6773 primary care patients

ObjectiveWe aimed at investigating the association of age-dependent IGF-I SDS with diabetes, dyslipidemia, hypertension, and heart diseases, in a large patient sample.BackgroundIGF-I has been suggested to be associated with several diseases and a prognostic marker for the development of cardiovascul...

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Veröffentlicht in:European journal of endocrinology 2008-02, Vol.158 (2), p.153-161
Hauptverfasser: Jörn Schneider, Harald, Klotsche, Jens, Saller, Bernhard, Böhler, Steffen, Sievers, Caroline, Pittrow, David, Ruf, Günther, März, Winfried, Erwa, Wolfang, Zeiher, Andreas M, Silber, Sigmund, Lehnert, Hendrik, Wittchen, Hans-Ullrich, Stalla, Günter Karl
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container_end_page 161
container_issue 2
container_start_page 153
container_title European journal of endocrinology
container_volume 158
creator Jörn Schneider, Harald
Klotsche, Jens
Saller, Bernhard
Böhler, Steffen
Sievers, Caroline
Pittrow, David
Ruf, Günther
März, Winfried
Erwa, Wolfang
Zeiher, Andreas M
Silber, Sigmund
Lehnert, Hendrik
Wittchen, Hans-Ullrich
Stalla, Günter Karl
description ObjectiveWe aimed at investigating the association of age-dependent IGF-I SDS with diabetes, dyslipidemia, hypertension, and heart diseases, in a large patient sample.BackgroundIGF-I has been suggested to be associated with several diseases and a prognostic marker for the development of cardiovascular diseases and risk factors. The findings, though, have been inconsistent possibly due to the methodological factors.MethodsWe studied 6773 consecutive primary care patients, aged 18+ years, in a cross-sectional, epidemiological study in primary care, Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment study. All patients underwent a standardized clinical diagnostic and laboratory assessment. IGF-I levels were measured with an automated chemiluminescence assay system. We calculated the odds ratios (OR) for diseases in quintiles of IGF-I, and additionally analyzed the association of age-dependent IGF-I SDS with these conditions.ResultsAfter multiple adjustments for confounders, we found increased ORs for coronary artery disease in patients with high IGF-I. Women, but not men, with low IGF-I also showed increased ORs for coronary artery disease. Dyslipidemia was positively associated with IGF-I. Type 2 diabetes showed a curvilinear association with IGF-I SDS.ConclusionsThe findings suggest the existence of multiple and complex interactions between IGF-I and several health conditions. The complex nature of disease- and subgroup-specific associations along with the methodological factors can be held responsible for divergent findings in previous studies.
doi_str_mv 10.1530/EJE-07-0600
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The findings, though, have been inconsistent possibly due to the methodological factors.MethodsWe studied 6773 consecutive primary care patients, aged 18+ years, in a cross-sectional, epidemiological study in primary care, Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment study. All patients underwent a standardized clinical diagnostic and laboratory assessment. IGF-I levels were measured with an automated chemiluminescence assay system. We calculated the odds ratios (OR) for diseases in quintiles of IGF-I, and additionally analyzed the association of age-dependent IGF-I SDS with these conditions.ResultsAfter multiple adjustments for confounders, we found increased ORs for coronary artery disease in patients with high IGF-I. Women, but not men, with low IGF-I also showed increased ORs for coronary artery disease. Dyslipidemia was positively associated with IGF-I. Type 2 diabetes showed a curvilinear association with IGF-I SDS.ConclusionsThe findings suggest the existence of multiple and complex interactions between IGF-I and several health conditions. The complex nature of disease- and subgroup-specific associations along with the methodological factors can be held responsible for divergent findings in previous studies.</description><identifier>ISSN: 0804-4643</identifier><identifier>EISSN: 1479-683X</identifier><identifier>DOI: 10.1530/EJE-07-0600</identifier><identifier>PMID: 18230821</identifier><language>eng</language><publisher>Colchester: BioScientifica</publisher><subject>Adult ; Age Distribution ; Aged ; Aging ; Biological and medical sciences ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - epidemiology ; Clinical Studies ; Confounding Factors (Epidemiology) ; Coronary Artery Disease - epidemiology ; Cross-Sectional Studies ; Diabetes Mellitus - blood ; Diabetes Mellitus - epidemiology ; Dyslipidemias - epidemiology ; Endocrinopathies ; Female ; Fundamental and applied biological sciences. Psychology ; Humans ; Hypertension - epidemiology ; Insulin-Like Growth Factor I - metabolism ; Luminescent Measurements ; Male ; Medical sciences ; Middle Aged ; Odds Ratio ; Primary Health Care ; Risk Factors ; Sex Distribution ; Sex Factors ; Vertebrates: endocrinology</subject><ispartof>European journal of endocrinology, 2008-02, Vol.158 (2), p.153-161</ispartof><rights>2008 Society for Endocrinology</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b425t-a1e65ecb8ac691b80939a5718f396550e64d7ca169806018a56f827968036e663</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=20086214$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18230821$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jörn Schneider, Harald</creatorcontrib><creatorcontrib>Klotsche, Jens</creatorcontrib><creatorcontrib>Saller, Bernhard</creatorcontrib><creatorcontrib>Böhler, Steffen</creatorcontrib><creatorcontrib>Sievers, Caroline</creatorcontrib><creatorcontrib>Pittrow, David</creatorcontrib><creatorcontrib>Ruf, Günther</creatorcontrib><creatorcontrib>März, Winfried</creatorcontrib><creatorcontrib>Erwa, Wolfang</creatorcontrib><creatorcontrib>Zeiher, Andreas M</creatorcontrib><creatorcontrib>Silber, Sigmund</creatorcontrib><creatorcontrib>Lehnert, Hendrik</creatorcontrib><creatorcontrib>Wittchen, Hans-Ullrich</creatorcontrib><creatorcontrib>Stalla, Günter Karl</creatorcontrib><title>Associations of age-dependent IGF-I SDS with cardiovascular diseases and risk conditions: cross-sectional study in 6773 primary care patients</title><title>European journal of endocrinology</title><addtitle>Eur J Endocrinol</addtitle><description>ObjectiveWe aimed at investigating the association of age-dependent IGF-I SDS with diabetes, dyslipidemia, hypertension, and heart diseases, in a large patient sample.BackgroundIGF-I has been suggested to be associated with several diseases and a prognostic marker for the development of cardiovascular diseases and risk factors. The findings, though, have been inconsistent possibly due to the methodological factors.MethodsWe studied 6773 consecutive primary care patients, aged 18+ years, in a cross-sectional, epidemiological study in primary care, Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment study. All patients underwent a standardized clinical diagnostic and laboratory assessment. IGF-I levels were measured with an automated chemiluminescence assay system. We calculated the odds ratios (OR) for diseases in quintiles of IGF-I, and additionally analyzed the association of age-dependent IGF-I SDS with these conditions.ResultsAfter multiple adjustments for confounders, we found increased ORs for coronary artery disease in patients with high IGF-I. Women, but not men, with low IGF-I also showed increased ORs for coronary artery disease. Dyslipidemia was positively associated with IGF-I. Type 2 diabetes showed a curvilinear association with IGF-I SDS.ConclusionsThe findings suggest the existence of multiple and complex interactions between IGF-I and several health conditions. The complex nature of disease- and subgroup-specific associations along with the methodological factors can be held responsible for divergent findings in previous studies.</description><subject>Adult</subject><subject>Age Distribution</subject><subject>Aged</subject><subject>Aging</subject><subject>Biological and medical sciences</subject><subject>Cardiovascular Diseases - blood</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Clinical Studies</subject><subject>Confounding Factors (Epidemiology)</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes Mellitus - blood</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Dyslipidemias - epidemiology</subject><subject>Endocrinopathies</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Hypertension - epidemiology</subject><subject>Insulin-Like Growth Factor I - metabolism</subject><subject>Luminescent Measurements</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Odds Ratio</subject><subject>Primary Health Care</subject><subject>Risk Factors</subject><subject>Sex Distribution</subject><subject>Sex Factors</subject><subject>Vertebrates: endocrinology</subject><issn>0804-4643</issn><issn>1479-683X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMFu1DAQhi0EotvCiTvyBS6VYRwnjsOtKtuyqBKHgsQtmtgOGLLx4klAfQjeGacbwY2Tx9Kn_5_5GHsm4ZWsFLzevt8KqAVogAdsI8u6Edqozw_ZBgyUotSlOmGnRN8AZJ7hMTuRplBgCrlhvy-Iog04hTgSjz3HL144f_Cj8-PEd9dXYsdv397yX2H6yi0mF-JPJDsPmLgL5JE8cRwdT4G-cxtHF-6z3nCbIpEgb5c_Dpym2d3xMHJd14ofUthjulsiPT_k_lxHT9ijHgfyT9f3jH262n68fCduPlzvLi9uRFcW1SRQel152xm0upGdgUY1WNXS9KrRVQVel662KHVjshVpsNK9KepGG1Daa63O2Mtj7iHFH7Onqd0Hsn4YcPRxpraGojQAZQbPj-D9Mcn37bp3K6Fd7LfZfgt1u9jP9PM1du723v1jV90ZeLECWSEOfcLRBvrLFQBGF3KplUeuC5Hsoib0weJ_y_8AXlucgQ</recordid><startdate>20080201</startdate><enddate>20080201</enddate><creator>Jörn Schneider, Harald</creator><creator>Klotsche, Jens</creator><creator>Saller, Bernhard</creator><creator>Böhler, Steffen</creator><creator>Sievers, Caroline</creator><creator>Pittrow, David</creator><creator>Ruf, Günther</creator><creator>März, Winfried</creator><creator>Erwa, Wolfang</creator><creator>Zeiher, Andreas M</creator><creator>Silber, Sigmund</creator><creator>Lehnert, Hendrik</creator><creator>Wittchen, Hans-Ullrich</creator><creator>Stalla, Günter Karl</creator><general>BioScientifica</general><general>Portland Press</general><scope>IQODW</scope><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>20080201</creationdate><title>Associations of age-dependent IGF-I SDS with cardiovascular diseases and risk conditions: cross-sectional study in 6773 primary care patients</title><author>Jörn Schneider, Harald ; Klotsche, Jens ; Saller, Bernhard ; Böhler, Steffen ; Sievers, Caroline ; Pittrow, David ; Ruf, Günther ; März, Winfried ; Erwa, Wolfang ; Zeiher, Andreas M ; Silber, Sigmund ; Lehnert, Hendrik ; Wittchen, Hans-Ullrich ; Stalla, Günter Karl</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b425t-a1e65ecb8ac691b80939a5718f396550e64d7ca169806018a56f827968036e663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adult</topic><topic>Age Distribution</topic><topic>Aged</topic><topic>Aging</topic><topic>Biological and medical sciences</topic><topic>Cardiovascular Diseases - blood</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Clinical Studies</topic><topic>Confounding Factors (Epidemiology)</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes Mellitus - blood</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Dyslipidemias - epidemiology</topic><topic>Endocrinopathies</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>Hypertension - epidemiology</topic><topic>Insulin-Like Growth Factor I - metabolism</topic><topic>Luminescent Measurements</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Odds Ratio</topic><topic>Primary Health Care</topic><topic>Risk Factors</topic><topic>Sex Distribution</topic><topic>Sex Factors</topic><topic>Vertebrates: endocrinology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jörn Schneider, Harald</creatorcontrib><creatorcontrib>Klotsche, Jens</creatorcontrib><creatorcontrib>Saller, Bernhard</creatorcontrib><creatorcontrib>Böhler, Steffen</creatorcontrib><creatorcontrib>Sievers, Caroline</creatorcontrib><creatorcontrib>Pittrow, David</creatorcontrib><creatorcontrib>Ruf, Günther</creatorcontrib><creatorcontrib>März, Winfried</creatorcontrib><creatorcontrib>Erwa, Wolfang</creatorcontrib><creatorcontrib>Zeiher, Andreas M</creatorcontrib><creatorcontrib>Silber, Sigmund</creatorcontrib><creatorcontrib>Lehnert, Hendrik</creatorcontrib><creatorcontrib>Wittchen, Hans-Ullrich</creatorcontrib><creatorcontrib>Stalla, Günter Karl</creatorcontrib><collection>Pascal-Francis</collection><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>European journal of endocrinology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jörn Schneider, Harald</au><au>Klotsche, Jens</au><au>Saller, Bernhard</au><au>Böhler, Steffen</au><au>Sievers, Caroline</au><au>Pittrow, David</au><au>Ruf, Günther</au><au>März, Winfried</au><au>Erwa, Wolfang</au><au>Zeiher, Andreas M</au><au>Silber, Sigmund</au><au>Lehnert, Hendrik</au><au>Wittchen, Hans-Ullrich</au><au>Stalla, Günter Karl</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations of age-dependent IGF-I SDS with cardiovascular diseases and risk conditions: cross-sectional study in 6773 primary care patients</atitle><jtitle>European journal of endocrinology</jtitle><addtitle>Eur J Endocrinol</addtitle><date>2008-02-01</date><risdate>2008</risdate><volume>158</volume><issue>2</issue><spage>153</spage><epage>161</epage><pages>153-161</pages><issn>0804-4643</issn><eissn>1479-683X</eissn><abstract>ObjectiveWe aimed at investigating the association of age-dependent IGF-I SDS with diabetes, dyslipidemia, hypertension, and heart diseases, in a large patient sample.BackgroundIGF-I has been suggested to be associated with several diseases and a prognostic marker for the development of cardiovascular diseases and risk factors. The findings, though, have been inconsistent possibly due to the methodological factors.MethodsWe studied 6773 consecutive primary care patients, aged 18+ years, in a cross-sectional, epidemiological study in primary care, Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment study. All patients underwent a standardized clinical diagnostic and laboratory assessment. IGF-I levels were measured with an automated chemiluminescence assay system. We calculated the odds ratios (OR) for diseases in quintiles of IGF-I, and additionally analyzed the association of age-dependent IGF-I SDS with these conditions.ResultsAfter multiple adjustments for confounders, we found increased ORs for coronary artery disease in patients with high IGF-I. Women, but not men, with low IGF-I also showed increased ORs for coronary artery disease. Dyslipidemia was positively associated with IGF-I. Type 2 diabetes showed a curvilinear association with IGF-I SDS.ConclusionsThe findings suggest the existence of multiple and complex interactions between IGF-I and several health conditions. The complex nature of disease- and subgroup-specific associations along with the methodological factors can be held responsible for divergent findings in previous studies.</abstract><cop>Colchester</cop><pub>BioScientifica</pub><pmid>18230821</pmid><doi>10.1530/EJE-07-0600</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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source Oxford University Press Journals All Titles (1996-Current); MEDLINE
subjects Adult
Age Distribution
Aged
Aging
Biological and medical sciences
Cardiovascular Diseases - blood
Cardiovascular Diseases - epidemiology
Clinical Studies
Confounding Factors (Epidemiology)
Coronary Artery Disease - epidemiology
Cross-Sectional Studies
Diabetes Mellitus - blood
Diabetes Mellitus - epidemiology
Dyslipidemias - epidemiology
Endocrinopathies
Female
Fundamental and applied biological sciences. Psychology
Humans
Hypertension - epidemiology
Insulin-Like Growth Factor I - metabolism
Luminescent Measurements
Male
Medical sciences
Middle Aged
Odds Ratio
Primary Health Care
Risk Factors
Sex Distribution
Sex Factors
Vertebrates: endocrinology
title Associations of age-dependent IGF-I SDS with cardiovascular diseases and risk conditions: cross-sectional study in 6773 primary care patients
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