Elevations of metabolic risk factors 20 years or more before diagnosis of type 2 diabetes: Experience from the AMORIS study
Aims To describe trajectories for metabolic risk factors for type 2 diabetes (T2D) up to 25 years prior to diagnosis and to estimate the absolute 20‐year risk for T2D based on a simple set of commonly measured key risk factors. Methods From the Swedish AMORIS cohort we included 296 428 individuals w...
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creator | Malmström, Håkan Walldius, Göran Carlsson, Sofia Grill, Valdemar Jungner, Ingmar Gudbjörnsdottir, Soffia Kosiborod, Mikhail Hammar, Niklas |
description | Aims
To describe trajectories for metabolic risk factors for type 2 diabetes (T2D) up to 25 years prior to diagnosis and to estimate the absolute 20‐year risk for T2D based on a simple set of commonly measured key risk factors.
Methods
From the Swedish AMORIS cohort we included 296 428 individuals with data on fasting glucose obtained in health examinations during 1985–1996 (baseline period). All participants were followed until 2012 for development of incident T2D. The 20‐year T2D risk based on age, sex, body mass index (BMI), fasting glucose and triglycerides was estimated. Trajectories for biomedical risk factors of T2D starting from >20 years before diagnosis and including fasting glucose, triglycerides and BMI were evaluated according to yearly means for cases and controls.
Results
We identified 28 244 new T2D cases during the study period, with an average 20‐year risk of 8.1%. This risk was substantially increased in overweight and obese participants and those with elevated fasting glucose and triglyceride levels, in both men and women. T2D cases had higher mean BMI and fasting glucose and triglyceride levels compared with controls >20 years before diagnosis and the difference in fasting glucose levels increased over time.
Conclusions
Development of T2D is associated with subtle elevations in glucose and lipid levels >20 years before diagnosis. This suggests that diabetogenic processes tied to chronic insulin resistance operate for decades prior to the development of T2D. A simple risk classification can help in early identification of individuals who are at increased risk. |
doi_str_mv | 10.1111/dom.13241 |
format | Article |
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To describe trajectories for metabolic risk factors for type 2 diabetes (T2D) up to 25 years prior to diagnosis and to estimate the absolute 20‐year risk for T2D based on a simple set of commonly measured key risk factors.
Methods
From the Swedish AMORIS cohort we included 296 428 individuals with data on fasting glucose obtained in health examinations during 1985–1996 (baseline period). All participants were followed until 2012 for development of incident T2D. The 20‐year T2D risk based on age, sex, body mass index (BMI), fasting glucose and triglycerides was estimated. Trajectories for biomedical risk factors of T2D starting from >20 years before diagnosis and including fasting glucose, triglycerides and BMI were evaluated according to yearly means for cases and controls.
Results
We identified 28 244 new T2D cases during the study period, with an average 20‐year risk of 8.1%. This risk was substantially increased in overweight and obese participants and those with elevated fasting glucose and triglyceride levels, in both men and women. T2D cases had higher mean BMI and fasting glucose and triglyceride levels compared with controls >20 years before diagnosis and the difference in fasting glucose levels increased over time.
Conclusions
Development of T2D is associated with subtle elevations in glucose and lipid levels >20 years before diagnosis. This suggests that diabetogenic processes tied to chronic insulin resistance operate for decades prior to the development of T2D. A simple risk classification can help in early identification of individuals who are at increased risk.</description><identifier>ISSN: 1462-8902</identifier><identifier>EISSN: 1463-1326</identifier><identifier>DOI: 10.1111/dom.13241</identifier><identifier>PMID: 29400911</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Adult ; Age Distribution ; autoantibodies ; Biomarkers - metabolism ; Blood Glucose - metabolism ; Body Mass Index ; Body weight ; carbohydrates ; Case-Control Studies ; cohort ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - etiology ; Diagnosis ; Endocrinology & Metabolism ; Endocrinology and Diabetes ; Endokrinologi och diabetes ; Fasting ; Female ; Follow-Up Studies ; Glucose ; Glycated Hemoglobin A - metabolism ; hazard ratios ; Humans ; inflammatory risk factors ; Insulin ; lipids ; Male ; Medical diagnosis ; mellitus ; Metabolism ; Middle Aged ; obesity ; Obesity - blood ; Obesity - complications ; onset ; Overweight ; Overweight - blood ; Overweight - complications ; Prediabetic State - blood ; Prediabetic State - etiology ; prediction ; Risk Factors ; risk stratification ; Time Factors ; trajectories ; trajectories to type 2 ; trajectories to type 2 diabetes ; Triglycerides ; Triglycerides - metabolism ; Uric Acid - metabolism ; whitehall ii</subject><ispartof>Diabetes, obesity & metabolism, 2018-06, Vol.20 (6), p.1419-1426</ispartof><rights>2018 John Wiley & Sons Ltd</rights><rights>2018 John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4291-71c6622f572f74e2d90b8bd8c17d1ab110bf766164cdf9bf07e6f53ae28f03333</citedby><cites>FETCH-LOGICAL-c4291-71c6622f572f74e2d90b8bd8c17d1ab110bf766164cdf9bf07e6f53ae28f03333</cites><orcidid>0000-0003-3315-5618</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fdom.13241$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fdom.13241$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29400911$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://gup.ub.gu.se/publication/267912$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:138242058$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Malmström, Håkan</creatorcontrib><creatorcontrib>Walldius, Göran</creatorcontrib><creatorcontrib>Carlsson, Sofia</creatorcontrib><creatorcontrib>Grill, Valdemar</creatorcontrib><creatorcontrib>Jungner, Ingmar</creatorcontrib><creatorcontrib>Gudbjörnsdottir, Soffia</creatorcontrib><creatorcontrib>Kosiborod, Mikhail</creatorcontrib><creatorcontrib>Hammar, Niklas</creatorcontrib><title>Elevations of metabolic risk factors 20 years or more before diagnosis of type 2 diabetes: Experience from the AMORIS study</title><title>Diabetes, obesity & metabolism</title><addtitle>Diabetes Obes Metab</addtitle><description>Aims
To describe trajectories for metabolic risk factors for type 2 diabetes (T2D) up to 25 years prior to diagnosis and to estimate the absolute 20‐year risk for T2D based on a simple set of commonly measured key risk factors.
Methods
From the Swedish AMORIS cohort we included 296 428 individuals with data on fasting glucose obtained in health examinations during 1985–1996 (baseline period). All participants were followed until 2012 for development of incident T2D. The 20‐year T2D risk based on age, sex, body mass index (BMI), fasting glucose and triglycerides was estimated. Trajectories for biomedical risk factors of T2D starting from >20 years before diagnosis and including fasting glucose, triglycerides and BMI were evaluated according to yearly means for cases and controls.
Results
We identified 28 244 new T2D cases during the study period, with an average 20‐year risk of 8.1%. This risk was substantially increased in overweight and obese participants and those with elevated fasting glucose and triglyceride levels, in both men and women. T2D cases had higher mean BMI and fasting glucose and triglyceride levels compared with controls >20 years before diagnosis and the difference in fasting glucose levels increased over time.
Conclusions
Development of T2D is associated with subtle elevations in glucose and lipid levels >20 years before diagnosis. This suggests that diabetogenic processes tied to chronic insulin resistance operate for decades prior to the development of T2D. A simple risk classification can help in early identification of individuals who are at increased risk.</description><subject>Adult</subject><subject>Age Distribution</subject><subject>autoantibodies</subject><subject>Biomarkers - metabolism</subject><subject>Blood Glucose - metabolism</subject><subject>Body Mass Index</subject><subject>Body weight</subject><subject>carbohydrates</subject><subject>Case-Control Studies</subject><subject>cohort</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - etiology</subject><subject>Diagnosis</subject><subject>Endocrinology & Metabolism</subject><subject>Endocrinology and Diabetes</subject><subject>Endokrinologi och diabetes</subject><subject>Fasting</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Glucose</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>hazard ratios</subject><subject>Humans</subject><subject>inflammatory risk factors</subject><subject>Insulin</subject><subject>lipids</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>mellitus</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>obesity</subject><subject>Obesity - blood</subject><subject>Obesity - complications</subject><subject>onset</subject><subject>Overweight</subject><subject>Overweight - blood</subject><subject>Overweight - complications</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - etiology</subject><subject>prediction</subject><subject>Risk Factors</subject><subject>risk stratification</subject><subject>Time Factors</subject><subject>trajectories</subject><subject>trajectories to type 2</subject><subject>trajectories to type 2 diabetes</subject><subject>Triglycerides</subject><subject>Triglycerides - metabolism</subject><subject>Uric Acid - metabolism</subject><subject>whitehall ii</subject><issn>1462-8902</issn><issn>1463-1326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU9v1DAQxS1ERUvhwBdAlrjAIa3tZJ2YW1UWWqnVSvw5W7YzXtwmcWonlIgvj7PZ9lAJ5jJvRj8_jfUQekPJCU11Wvv2hOasoM_QES14nqWBP99pllWCsEP0MsYbQkiRV-ULdMhEQYig9Aj9WTfwSw3OdxF7i1sYlPaNMzi4eIutMoMPETOCJ1BJ-IBbHwBrsHOrndp2Prrd22HqAbN5p2GA-BGvf_cQHHQGsA2-xcNPwGfXm6-X33Acxnp6hQ6saiK83vdj9OPz-vv5RXa1-XJ5fnaVmYIJmpXUcM6YXZXMlgWwWhBd6boytKyp0pQSbUvOKS9MbYW2pARuV7kCVlmSpzpG2eIb76EfteyDa1WYpFdO7le3SYEsBCl59V9-O_YyrbbjzDNeCsoS_37h--DvRoiDbF000DSqAz9GSYUocp7iIQl99wS98WPo0u8lIzkXJBer-YAPC2WCjzGAfTyBEjknLlPicpd4Yt_uHUfdQv1IPkScgNMFuHcNTP92kp8214vlX-xYtOE</recordid><startdate>201806</startdate><enddate>201806</enddate><creator>Malmström, Håkan</creator><creator>Walldius, Göran</creator><creator>Carlsson, Sofia</creator><creator>Grill, Valdemar</creator><creator>Jungner, Ingmar</creator><creator>Gudbjörnsdottir, Soffia</creator><creator>Kosiborod, Mikhail</creator><creator>Hammar, Niklas</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</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>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>F1U</scope><orcidid>https://orcid.org/0000-0003-3315-5618</orcidid></search><sort><creationdate>201806</creationdate><title>Elevations of metabolic risk factors 20 years or more before diagnosis of type 2 diabetes: Experience from the AMORIS study</title><author>Malmström, Håkan ; Walldius, Göran ; Carlsson, Sofia ; Grill, Valdemar ; Jungner, Ingmar ; Gudbjörnsdottir, Soffia ; Kosiborod, Mikhail ; Hammar, Niklas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4291-71c6622f572f74e2d90b8bd8c17d1ab110bf766164cdf9bf07e6f53ae28f03333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Age Distribution</topic><topic>autoantibodies</topic><topic>Biomarkers - metabolism</topic><topic>Blood Glucose - metabolism</topic><topic>Body Mass Index</topic><topic>Body weight</topic><topic>carbohydrates</topic><topic>Case-Control Studies</topic><topic>cohort</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - etiology</topic><topic>Diagnosis</topic><topic>Endocrinology & Metabolism</topic><topic>Endocrinology and Diabetes</topic><topic>Endokrinologi och diabetes</topic><topic>Fasting</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Glucose</topic><topic>Glycated Hemoglobin A - metabolism</topic><topic>hazard ratios</topic><topic>Humans</topic><topic>inflammatory risk factors</topic><topic>Insulin</topic><topic>lipids</topic><topic>Male</topic><topic>Medical diagnosis</topic><topic>mellitus</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>obesity</topic><topic>Obesity - blood</topic><topic>Obesity - complications</topic><topic>onset</topic><topic>Overweight</topic><topic>Overweight - blood</topic><topic>Overweight - complications</topic><topic>Prediabetic State - blood</topic><topic>Prediabetic State - etiology</topic><topic>prediction</topic><topic>Risk Factors</topic><topic>risk stratification</topic><topic>Time Factors</topic><topic>trajectories</topic><topic>trajectories to type 2</topic><topic>trajectories to type 2 diabetes</topic><topic>Triglycerides</topic><topic>Triglycerides - metabolism</topic><topic>Uric Acid - metabolism</topic><topic>whitehall ii</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Malmström, Håkan</creatorcontrib><creatorcontrib>Walldius, Göran</creatorcontrib><creatorcontrib>Carlsson, Sofia</creatorcontrib><creatorcontrib>Grill, Valdemar</creatorcontrib><creatorcontrib>Jungner, Ingmar</creatorcontrib><creatorcontrib>Gudbjörnsdottir, Soffia</creatorcontrib><creatorcontrib>Kosiborod, Mikhail</creatorcontrib><creatorcontrib>Hammar, Niklas</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Göteborgs universitet</collection><jtitle>Diabetes, obesity & metabolism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Malmström, Håkan</au><au>Walldius, Göran</au><au>Carlsson, Sofia</au><au>Grill, Valdemar</au><au>Jungner, Ingmar</au><au>Gudbjörnsdottir, Soffia</au><au>Kosiborod, Mikhail</au><au>Hammar, Niklas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Elevations of metabolic risk factors 20 years or more before diagnosis of type 2 diabetes: Experience from the AMORIS study</atitle><jtitle>Diabetes, obesity & metabolism</jtitle><addtitle>Diabetes Obes Metab</addtitle><date>2018-06</date><risdate>2018</risdate><volume>20</volume><issue>6</issue><spage>1419</spage><epage>1426</epage><pages>1419-1426</pages><issn>1462-8902</issn><eissn>1463-1326</eissn><abstract>Aims
To describe trajectories for metabolic risk factors for type 2 diabetes (T2D) up to 25 years prior to diagnosis and to estimate the absolute 20‐year risk for T2D based on a simple set of commonly measured key risk factors.
Methods
From the Swedish AMORIS cohort we included 296 428 individuals with data on fasting glucose obtained in health examinations during 1985–1996 (baseline period). All participants were followed until 2012 for development of incident T2D. The 20‐year T2D risk based on age, sex, body mass index (BMI), fasting glucose and triglycerides was estimated. Trajectories for biomedical risk factors of T2D starting from >20 years before diagnosis and including fasting glucose, triglycerides and BMI were evaluated according to yearly means for cases and controls.
Results
We identified 28 244 new T2D cases during the study period, with an average 20‐year risk of 8.1%. This risk was substantially increased in overweight and obese participants and those with elevated fasting glucose and triglyceride levels, in both men and women. T2D cases had higher mean BMI and fasting glucose and triglyceride levels compared with controls >20 years before diagnosis and the difference in fasting glucose levels increased over time.
Conclusions
Development of T2D is associated with subtle elevations in glucose and lipid levels >20 years before diagnosis. This suggests that diabetogenic processes tied to chronic insulin resistance operate for decades prior to the development of T2D. A simple risk classification can help in early identification of individuals who are at increased risk.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>29400911</pmid><doi>10.1111/dom.13241</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3315-5618</orcidid></addata></record> |
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subjects | Adult Age Distribution autoantibodies Biomarkers - metabolism Blood Glucose - metabolism Body Mass Index Body weight carbohydrates Case-Control Studies cohort Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - etiology Diagnosis Endocrinology & Metabolism Endocrinology and Diabetes Endokrinologi och diabetes Fasting Female Follow-Up Studies Glucose Glycated Hemoglobin A - metabolism hazard ratios Humans inflammatory risk factors Insulin lipids Male Medical diagnosis mellitus Metabolism Middle Aged obesity Obesity - blood Obesity - complications onset Overweight Overweight - blood Overweight - complications Prediabetic State - blood Prediabetic State - etiology prediction Risk Factors risk stratification Time Factors trajectories trajectories to type 2 trajectories to type 2 diabetes Triglycerides Triglycerides - metabolism Uric Acid - metabolism whitehall ii |
title | Elevations of metabolic risk factors 20 years or more before diagnosis of type 2 diabetes: Experience from the AMORIS study |
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