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Adverse differences in cardiometabolic risk factor levels between individuals with pre-diabetes and normal glucose metabolism are more pronounced in women than in men: the Maastricht Study

ObjectiveTo investigate whether adverse differences in levels of cardiovascular risk factors in women than men, already established when comparing individuals with and without diabetes, are also present before type 2 diabetes onset.Research design and methodsIn a population-based cohort study of ind...

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Published in:BMJ open diabetes research & care 2019-11, Vol.7 (1), p.e000787-e000787
Main Authors: de Ritter, Rianneke, Sep, Simone J S, van der Kallen, Carla J H, Schram, Miranda T, Koster, Annemarie, Kroon, Abraham A, van Greevenbroek, Marleen M J, Eussen, Simone J P M, Dagnelie, Pieter C, de Jong, Marit, Vos, Rimke C, Woodward, Mark, Bots, Michiel L, Peters, Sanne A E, Stehouwer, Coen D A
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container_title BMJ open diabetes research & care
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creator de Ritter, Rianneke
Sep, Simone J S
van der Kallen, Carla J H
Schram, Miranda T
Koster, Annemarie
Kroon, Abraham A
van Greevenbroek, Marleen M J
Eussen, Simone J P M
Dagnelie, Pieter C
de Jong, Marit
Vos, Rimke C
Woodward, Mark
Bots, Michiel L
Peters, Sanne A E
Stehouwer, Coen D A
description ObjectiveTo investigate whether adverse differences in levels of cardiovascular risk factors in women than men, already established when comparing individuals with and without diabetes, are also present before type 2 diabetes onset.Research design and methodsIn a population-based cohort study of individuals aged 40-75 years (n=3410; 49% women, 29% type 2 diabetes (oversampled by design)), we estimated associations with cardiometabolic and lifestyle risk factors of (1) pre-diabetes and type 2 diabetes (reference category: normal glucose metabolism) and (2) among non-diabetic individuals, of continuous levels of hemoglobin A1c (HbA1c). Age-adjusted sex differences were analyzed using linear and logistic regression models with sex interaction terms.ResultsIn pre-diabetes, adverse differences in cardiometabolic risk factors were greater in women than men for systolic blood pressure (difference, 3.02 mm Hg; 95% CI:−0.26 to 6.30), high-density lipoprotein (HDL) cholesterol (difference, −0.10 mmol/L; 95% CI: −0.18 to −0.02), total-to-HDL cholesterol ratio (difference, 0.22; 95% CI: −0.01 to 0.44), triglycerides (ratio: 1.11; 95% CI: 1.01 to 1.22), and inflammation markers Z-score (ratio: 1.18; 95% CI: 0.98 to 1.41). In type 2 diabetes, these sex differences were similar in direction, and of greater magnitude. Additionally, HbA1c among non-diabetic individuals was more strongly associated with several cardiometabolic risk factors in women than men: per one per cent point increase, systolic blood pressure (difference, 3.58 mm Hg; 95% CI: −0.03 to 7.19), diastolic blood pressure (difference, 2.10 mm Hg; 95% CI: −0.02 to 4.23), HDL cholesterol (difference, −0.09 mmol/L; 95% CI: −0.19 to 0.00), and low-density lipoprotein cholesterol (difference, 0.26 mmol/L; 95% CI: 0.05 to 0.47). With regard to lifestyle risk factors, no consistent pattern was observed.ConclusionOur results are consistent with the concept that the more adverse changes in cardiometabolic risk factors in women (than men) arise as a continuous process before the onset of type 2 diabetes.
doi_str_mv 10.1136/bmjdrc-2019-000787
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Age-adjusted sex differences were analyzed using linear and logistic regression models with sex interaction terms.ResultsIn pre-diabetes, adverse differences in cardiometabolic risk factors were greater in women than men for systolic blood pressure (difference, 3.02 mm Hg; 95% CI:−0.26 to 6.30), high-density lipoprotein (HDL) cholesterol (difference, −0.10 mmol/L; 95% CI: −0.18 to −0.02), total-to-HDL cholesterol ratio (difference, 0.22; 95% CI: −0.01 to 0.44), triglycerides (ratio: 1.11; 95% CI: 1.01 to 1.22), and inflammation markers Z-score (ratio: 1.18; 95% CI: 0.98 to 1.41). In type 2 diabetes, these sex differences were similar in direction, and of greater magnitude. Additionally, HbA1c among non-diabetic individuals was more strongly associated with several cardiometabolic risk factors in women than men: per one per cent point increase, systolic blood pressure (difference, 3.58 mm Hg; 95% CI: −0.03 to 7.19), diastolic blood pressure (difference, 2.10 mm Hg; 95% CI: −0.02 to 4.23), HDL cholesterol (difference, −0.09 mmol/L; 95% CI: −0.19 to 0.00), and low-density lipoprotein cholesterol (difference, 0.26 mmol/L; 95% CI: 0.05 to 0.47). With regard to lifestyle risk factors, no consistent pattern was observed.ConclusionOur results are consistent with the concept that the more adverse changes in cardiometabolic risk factors in women (than men) arise as a continuous process before the onset of type 2 diabetes.</description><identifier>ISSN: 2052-4897</identifier><identifier>EISSN: 2052-4897</identifier><identifier>DOI: 10.1136/bmjdrc-2019-000787</identifier><identifier>PMID: 31798903</identifier><language>eng</language><publisher>England: American Diabetes Association</publisher><subject>Alcohol ; Biomarkers - blood ; Blood Glucose - analysis ; Blood Pressure ; Body Mass Index ; Cardiovascular and Metabolic Risk ; Cardiovascular disease ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - diagnosis ; Cardiovascular Diseases - etiology ; cardiovascular risk factors ; Case-Control Studies ; Cholesterol ; Cholesterol, HDL - blood ; Cholesterol, LDL - blood ; Diabetes ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - complications ; Fasting ; Female ; Follow-Up Studies ; Gender differences ; Glucose ; Glycated Hemoglobin A - analysis ; Health risk assessment ; Humans ; Inflammation ; Insulin ; Life Style ; Lifestyles ; Male ; Mens health ; Metabolism ; Middle Aged ; Population ; pre-diabetes ; Prediabetic State - blood ; Prediabetic State - complications ; Prognosis ; Prospective Studies ; Questionnaires ; Risk Factors ; sex difference ; Sex Factors ; Triglycerides ; Triglycerides - blood ; women's health ; Womens health</subject><ispartof>BMJ open diabetes research &amp; care, 2019-11, Vol.7 (1), p.e000787-e000787</ispartof><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2019 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. 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Age-adjusted sex differences were analyzed using linear and logistic regression models with sex interaction terms.ResultsIn pre-diabetes, adverse differences in cardiometabolic risk factors were greater in women than men for systolic blood pressure (difference, 3.02 mm Hg; 95% CI:−0.26 to 6.30), high-density lipoprotein (HDL) cholesterol (difference, −0.10 mmol/L; 95% CI: −0.18 to −0.02), total-to-HDL cholesterol ratio (difference, 0.22; 95% CI: −0.01 to 0.44), triglycerides (ratio: 1.11; 95% CI: 1.01 to 1.22), and inflammation markers Z-score (ratio: 1.18; 95% CI: 0.98 to 1.41). In type 2 diabetes, these sex differences were similar in direction, and of greater magnitude. Additionally, HbA1c among non-diabetic individuals was more strongly associated with several cardiometabolic risk factors in women than men: per one per cent point increase, systolic blood pressure (difference, 3.58 mm Hg; 95% CI: −0.03 to 7.19), diastolic blood pressure (difference, 2.10 mm Hg; 95% CI: −0.02 to 4.23), HDL cholesterol (difference, −0.09 mmol/L; 95% CI: −0.19 to 0.00), and low-density lipoprotein cholesterol (difference, 0.26 mmol/L; 95% CI: 0.05 to 0.47). With regard to lifestyle risk factors, no consistent pattern was observed.ConclusionOur results are consistent with the concept that the more adverse changes in cardiometabolic risk factors in women (than men) arise as a continuous process before the onset of type 2 diabetes.</description><subject>Alcohol</subject><subject>Biomarkers - blood</subject><subject>Blood Glucose - analysis</subject><subject>Blood Pressure</subject><subject>Body Mass Index</subject><subject>Cardiovascular and Metabolic Risk</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular Diseases - blood</subject><subject>Cardiovascular Diseases - diagnosis</subject><subject>Cardiovascular Diseases - etiology</subject><subject>cardiovascular risk factors</subject><subject>Case-Control Studies</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Cholesterol, LDL - blood</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Fasting</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gender differences</subject><subject>Glucose</subject><subject>Glycated Hemoglobin A - analysis</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Insulin</subject><subject>Life Style</subject><subject>Lifestyles</subject><subject>Male</subject><subject>Mens health</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Population</subject><subject>pre-diabetes</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - complications</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Questionnaires</subject><subject>Risk Factors</subject><subject>sex difference</subject><subject>Sex Factors</subject><subject>Triglycerides</subject><subject>Triglycerides - blood</subject><subject>women's health</subject><subject>Womens health</subject><issn>2052-4897</issn><issn>2052-4897</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNks1u1DAUhSMEotXQF2CBLLFhk-LYiWOzQKoqfioVsQDWlmPfzHhI4sF2ZtR34-G4w7RDywKxcWzf75xjO7conlf0vKq4eN2NaxdtyWilSkppK9tHxSmjDStrqdrH9-YnxVlKa2RQVnHZPC1OeNUqqSg_LX5euC3EBMT5vocIk4VE_ESsic6HEbLpwuAtiT59J72xOUQywBaGRDrIO4AJaee33s0G93Y-r8gmQum8wTp6mcmRKcTRDGQ5zDZg1J1rGomJuAw4bGKYwozpbp--w-SJ5JXZuyM_vcEFkE_GpBy9XWXyJc_u5lnxpMdUOLv9Lopv7999vfxYXn_-cHV5cV12TctzyVVthKOm5X0FgvXAulrYljmuWN-YToFzNaVN3zU9uFY2Ne-6VkiGdYp35ovi6uDrglnrTfSjiTc6GK9_b4S41CZmbwfQIPGFq8ayyqhayaazIFTNeK1aRRn-uUXx9uC1mbsRnIUpRzM8MH1YmfxKL8NWCykqKiQavLo1iOHHDCnr0ScLw2AmCHPSjLNKtEIJhejLv9B1mOOET4UUZ1QxKTlS7EDZGFKK0B8PU1G97zV96DW97zV96DUUvbh_jaPkrrMQKA8Aiv_P8PwPfzzmPwS_AGzx8dg</recordid><startdate>20191115</startdate><enddate>20191115</enddate><creator>de Ritter, Rianneke</creator><creator>Sep, Simone J S</creator><creator>van der Kallen, Carla J H</creator><creator>Schram, Miranda T</creator><creator>Koster, Annemarie</creator><creator>Kroon, Abraham A</creator><creator>van Greevenbroek, Marleen M J</creator><creator>Eussen, Simone J P M</creator><creator>Dagnelie, Pieter C</creator><creator>de Jong, Marit</creator><creator>Vos, Rimke C</creator><creator>Woodward, Mark</creator><creator>Bots, Michiel L</creator><creator>Peters, Sanne A E</creator><creator>Stehouwer, Coen D A</creator><general>American Diabetes Association</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</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>3V.</scope><scope>7RV</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>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>NAPCQ</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><orcidid>https://orcid.org/0000-0001-9260-4458</orcidid><orcidid>https://orcid.org/0000-0003-2858-1874</orcidid><orcidid>https://orcid.org/0000-0003-0346-5412</orcidid><orcidid>https://orcid.org/0000-0003-1074-6255</orcidid><orcidid>https://orcid.org/0000-0001-8113-7604</orcidid><orcidid>https://orcid.org/0000-0002-2989-1631</orcidid></search><sort><creationdate>20191115</creationdate><title>Adverse differences in cardiometabolic risk factor levels between individuals with pre-diabetes and normal glucose metabolism are more pronounced in women than in men: the Maastricht Study</title><author>de Ritter, Rianneke ; Sep, Simone J S ; van der Kallen, Carla J H ; Schram, Miranda T ; Koster, Annemarie ; Kroon, Abraham A ; van Greevenbroek, Marleen M J ; Eussen, Simone J P M ; Dagnelie, Pieter C ; de Jong, Marit ; Vos, Rimke C ; Woodward, Mark ; Bots, Michiel L ; Peters, Sanne A E ; Stehouwer, Coen D A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b573t-394a6d0a73f1e62fe2b46c72d392f5ab9edd4005fb5fed78543bb76823920fac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Alcohol</topic><topic>Biomarkers - blood</topic><topic>Blood Glucose - analysis</topic><topic>Blood Pressure</topic><topic>Body Mass Index</topic><topic>Cardiovascular and Metabolic Risk</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular Diseases - blood</topic><topic>Cardiovascular Diseases - diagnosis</topic><topic>Cardiovascular Diseases - etiology</topic><topic>cardiovascular risk factors</topic><topic>Case-Control Studies</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - blood</topic><topic>Cholesterol, LDL - blood</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Fasting</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gender differences</topic><topic>Glucose</topic><topic>Glycated Hemoglobin A - analysis</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Insulin</topic><topic>Life Style</topic><topic>Lifestyles</topic><topic>Male</topic><topic>Mens health</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Population</topic><topic>pre-diabetes</topic><topic>Prediabetic State - blood</topic><topic>Prediabetic State - complications</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Questionnaires</topic><topic>Risk Factors</topic><topic>sex difference</topic><topic>Sex Factors</topic><topic>Triglycerides</topic><topic>Triglycerides - blood</topic><topic>women's health</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Ritter, Rianneke</creatorcontrib><creatorcontrib>Sep, Simone J S</creatorcontrib><creatorcontrib>van der Kallen, Carla J H</creatorcontrib><creatorcontrib>Schram, Miranda T</creatorcontrib><creatorcontrib>Koster, Annemarie</creatorcontrib><creatorcontrib>Kroon, Abraham A</creatorcontrib><creatorcontrib>van Greevenbroek, Marleen M J</creatorcontrib><creatorcontrib>Eussen, Simone J P M</creatorcontrib><creatorcontrib>Dagnelie, Pieter C</creatorcontrib><creatorcontrib>de Jong, Marit</creatorcontrib><creatorcontrib>Vos, Rimke C</creatorcontrib><creatorcontrib>Woodward, Mark</creatorcontrib><creatorcontrib>Bots, Michiel L</creatorcontrib><creatorcontrib>Peters, Sanne A E</creatorcontrib><creatorcontrib>Stehouwer, Coen D A</creatorcontrib><collection>BMJ Journals (Open Access)</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Health and Medical</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>AUTh Library subscriptions: ProQuest Central</collection><collection>BMJ Journals</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 &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Nursing &amp; Allied Health Premium</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>BMJ open diabetes research &amp; care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Ritter, Rianneke</au><au>Sep, Simone J S</au><au>van der Kallen, Carla J H</au><au>Schram, Miranda T</au><au>Koster, Annemarie</au><au>Kroon, Abraham A</au><au>van Greevenbroek, Marleen M J</au><au>Eussen, Simone J P M</au><au>Dagnelie, Pieter C</au><au>de Jong, Marit</au><au>Vos, Rimke C</au><au>Woodward, Mark</au><au>Bots, Michiel L</au><au>Peters, Sanne A E</au><au>Stehouwer, Coen D A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adverse differences in cardiometabolic risk factor levels between individuals with pre-diabetes and normal glucose metabolism are more pronounced in women than in men: the Maastricht Study</atitle><jtitle>BMJ open diabetes research &amp; care</jtitle><stitle>BMJ Open Diab Res Care</stitle><addtitle>BMJ Open Diabetes Res Care</addtitle><date>2019-11-15</date><risdate>2019</risdate><volume>7</volume><issue>1</issue><spage>e000787</spage><epage>e000787</epage><pages>e000787-e000787</pages><issn>2052-4897</issn><eissn>2052-4897</eissn><abstract>ObjectiveTo investigate whether adverse differences in levels of cardiovascular risk factors in women than men, already established when comparing individuals with and without diabetes, are also present before type 2 diabetes onset.Research design and methodsIn a population-based cohort study of individuals aged 40-75 years (n=3410; 49% women, 29% type 2 diabetes (oversampled by design)), we estimated associations with cardiometabolic and lifestyle risk factors of (1) pre-diabetes and type 2 diabetes (reference category: normal glucose metabolism) and (2) among non-diabetic individuals, of continuous levels of hemoglobin A1c (HbA1c). Age-adjusted sex differences were analyzed using linear and logistic regression models with sex interaction terms.ResultsIn pre-diabetes, adverse differences in cardiometabolic risk factors were greater in women than men for systolic blood pressure (difference, 3.02 mm Hg; 95% CI:−0.26 to 6.30), high-density lipoprotein (HDL) cholesterol (difference, −0.10 mmol/L; 95% CI: −0.18 to −0.02), total-to-HDL cholesterol ratio (difference, 0.22; 95% CI: −0.01 to 0.44), triglycerides (ratio: 1.11; 95% CI: 1.01 to 1.22), and inflammation markers Z-score (ratio: 1.18; 95% CI: 0.98 to 1.41). In type 2 diabetes, these sex differences were similar in direction, and of greater magnitude. Additionally, HbA1c among non-diabetic individuals was more strongly associated with several cardiometabolic risk factors in women than men: per one per cent point increase, systolic blood pressure (difference, 3.58 mm Hg; 95% CI: −0.03 to 7.19), diastolic blood pressure (difference, 2.10 mm Hg; 95% CI: −0.02 to 4.23), HDL cholesterol (difference, −0.09 mmol/L; 95% CI: −0.19 to 0.00), and low-density lipoprotein cholesterol (difference, 0.26 mmol/L; 95% CI: 0.05 to 0.47). With regard to lifestyle risk factors, no consistent pattern was observed.ConclusionOur results are consistent with the concept that the more adverse changes in cardiometabolic risk factors in women (than men) arise as a continuous process before the onset of type 2 diabetes.</abstract><cop>England</cop><pub>American Diabetes Association</pub><pmid>31798903</pmid><doi>10.1136/bmjdrc-2019-000787</doi><orcidid>https://orcid.org/0000-0001-9260-4458</orcidid><orcidid>https://orcid.org/0000-0003-2858-1874</orcidid><orcidid>https://orcid.org/0000-0003-0346-5412</orcidid><orcidid>https://orcid.org/0000-0003-1074-6255</orcidid><orcidid>https://orcid.org/0000-0001-8113-7604</orcidid><orcidid>https://orcid.org/0000-0002-2989-1631</orcidid><oa>free_for_read</oa></addata></record>
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subjects Alcohol
Biomarkers - blood
Blood Glucose - analysis
Blood Pressure
Body Mass Index
Cardiovascular and Metabolic Risk
Cardiovascular disease
Cardiovascular Diseases - blood
Cardiovascular Diseases - diagnosis
Cardiovascular Diseases - etiology
cardiovascular risk factors
Case-Control Studies
Cholesterol
Cholesterol, HDL - blood
Cholesterol, LDL - blood
Diabetes
Diabetes Mellitus, Type 2 - blood
Diabetes Mellitus, Type 2 - complications
Fasting
Female
Follow-Up Studies
Gender differences
Glucose
Glycated Hemoglobin A - analysis
Health risk assessment
Humans
Inflammation
Insulin
Life Style
Lifestyles
Male
Mens health
Metabolism
Middle Aged
Population
pre-diabetes
Prediabetic State - blood
Prediabetic State - complications
Prognosis
Prospective Studies
Questionnaires
Risk Factors
sex difference
Sex Factors
Triglycerides
Triglycerides - blood
women's health
Womens health
title Adverse differences in cardiometabolic risk factor levels between individuals with pre-diabetes and normal glucose metabolism are more pronounced in women than in men: the Maastricht Study
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