Twenty year fitness trends in young adults and incidence of prediabetes and diabetes: the CARDIA study

Aims/hypothesis The prospective association between cardiorespiratory fitness (CRF) measured in young adulthood and middle age on development of prediabetes, defined as impaired fasting glucose and/or impaired glucose tolerance, or diabetes by middle age remains unknown. We hypothesised that higher...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Diabetologia 2016-08, Vol.59 (8), p.1659-1665
Hauptverfasser: Chow, Lisa S., Odegaard, Andrew O., Bosch, Tyler A., Bantle, Anne E., Wang, Qi, Hughes, John, Carnethon, Mercedes, Ingram, Katherine H., Durant, Nefertiti, Lewis, Cora E., Ryder, Justin, Shay, Christina M., Kelly, Aaron S., Schreiner, Pamela J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1665
container_issue 8
container_start_page 1659
container_title Diabetologia
container_volume 59
creator Chow, Lisa S.
Odegaard, Andrew O.
Bosch, Tyler A.
Bantle, Anne E.
Wang, Qi
Hughes, John
Carnethon, Mercedes
Ingram, Katherine H.
Durant, Nefertiti
Lewis, Cora E.
Ryder, Justin
Shay, Christina M.
Kelly, Aaron S.
Schreiner, Pamela J.
description Aims/hypothesis The prospective association between cardiorespiratory fitness (CRF) measured in young adulthood and middle age on development of prediabetes, defined as impaired fasting glucose and/or impaired glucose tolerance, or diabetes by middle age remains unknown. We hypothesised that higher fitness levels would be associated with reduced risk for developing incident prediabetes/diabetes by middle age. Methods Participants were from the Coronary Artery Risk Development in Young Adults (CARDIA) study who were free from prediabetes/diabetes at baseline (year 0 [Y0]: 1985–1986). CRF was quantified by treadmill duration (converted to metabolic equivalents [METs]) at Y0, Y7 and Y20 and prediabetes/diabetes status was assessed at Y0, Y7, Y10, Y15, Y20 and Y25. We use an extended Cox model with CRF as the primary time-varying exposure. BMI was included as a time-varying covariate. The outcome was development of either prediabetes or diabetes after Y0. Model 1 included age, race, sex, field centre, CRF and BMI. Model 2 additionally included baseline (Y0) smoking, energy intake, alcohol intake, education, systolic BP, BP medication use and lipid profile. Results Higher fitness was associated with lower risk for developing incident prediabetes/diabetes (difference of 1 MET: HR 0.99898 [95% CI 0.99861, 0.99940], p  
doi_str_mv 10.1007/s00125-016-3969-5
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_1808650826</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1801426387</sourcerecordid><originalsourceid>FETCH-LOGICAL-p245t-7ee0744767ebca67db1bb574a38cd0491429ae093ac86b7181d84dd5abb6caf03</originalsourceid><addsrcrecordid>eNqNkU9r3DAQxUVpSDZpPkAvRdBLL05GlizJvS3b_FlYCIQN9CYka7x12JW3lkzwt4_N7kLpKadh5v2Y4c0j5CuDGwagbiMAy4sMmMx4Kcus-ERmTPA8A5Hrz2Q2yRnT8vcFuYzxFQB4IeQ5ucgV00yCmJF6_YYhDXRA29G6SQFjpKnD4CNtAh3aPmyo9f02RWqDH2dV4zFUSNua7jv0jXWY8CCemp80_UG6mD__Ws5pTL0fvpCz2m4jXh_rFXm5v1svHrPV08NyMV9l-1wUKVOIoIRQUqGrrFTeMecKJSzXlQdRMpGXFqHkttLSTSa8Ft4X1jlZ2Rr4Fflx2Lvv2r89xmR2Taxwu7UB2z4apkHLAnQuP4KO5yTXakS__4e-tn0XRiMTBSWTXE7UtyPVux16s--ane0Gc3r2COQHII5S2GD3zxowU6LmkKgZEzVToqbg7xOXkAk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1800916367</pqid></control><display><type>article</type><title>Twenty year fitness trends in young adults and incidence of prediabetes and diabetes: the CARDIA study</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Chow, Lisa S. ; Odegaard, Andrew O. ; Bosch, Tyler A. ; Bantle, Anne E. ; Wang, Qi ; Hughes, John ; Carnethon, Mercedes ; Ingram, Katherine H. ; Durant, Nefertiti ; Lewis, Cora E. ; Ryder, Justin ; Shay, Christina M. ; Kelly, Aaron S. ; Schreiner, Pamela J.</creator><creatorcontrib>Chow, Lisa S. ; Odegaard, Andrew O. ; Bosch, Tyler A. ; Bantle, Anne E. ; Wang, Qi ; Hughes, John ; Carnethon, Mercedes ; Ingram, Katherine H. ; Durant, Nefertiti ; Lewis, Cora E. ; Ryder, Justin ; Shay, Christina M. ; Kelly, Aaron S. ; Schreiner, Pamela J.</creatorcontrib><description>Aims/hypothesis The prospective association between cardiorespiratory fitness (CRF) measured in young adulthood and middle age on development of prediabetes, defined as impaired fasting glucose and/or impaired glucose tolerance, or diabetes by middle age remains unknown. We hypothesised that higher fitness levels would be associated with reduced risk for developing incident prediabetes/diabetes by middle age. Methods Participants were from the Coronary Artery Risk Development in Young Adults (CARDIA) study who were free from prediabetes/diabetes at baseline (year 0 [Y0]: 1985–1986). CRF was quantified by treadmill duration (converted to metabolic equivalents [METs]) at Y0, Y7 and Y20 and prediabetes/diabetes status was assessed at Y0, Y7, Y10, Y15, Y20 and Y25. We use an extended Cox model with CRF as the primary time-varying exposure. BMI was included as a time-varying covariate. The outcome was development of either prediabetes or diabetes after Y0. Model 1 included age, race, sex, field centre, CRF and BMI. Model 2 additionally included baseline (Y0) smoking, energy intake, alcohol intake, education, systolic BP, BP medication use and lipid profile. Results Higher fitness was associated with lower risk for developing incident prediabetes/diabetes (difference of 1 MET: HR 0.99898 [95% CI 0.99861, 0.99940], p  &lt; 0.01), which persisted (difference of 1 MET: HR 0.99872 [95% CI 0.99840, 0.99904], p  &lt; 0.01] when adjusting for covariates. Conclusions/interpretation Examining participants who had fitness measured from young adulthood to middle age, we found that fitness was associated with lower risk for developing prediabetes/diabetes, even when adjusting for BMI over this time period. These findings emphasise the importance of fitness in reducing the health burden of prediabetes and diabetes.</description><identifier>ISSN: 0012-186X</identifier><identifier>EISSN: 1432-0428</identifier><identifier>DOI: 10.1007/s00125-016-3969-5</identifier><identifier>PMID: 27181604</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Adult ; Blood Pressure - physiology ; Cardiovascular disease ; Cohort Studies ; Coronary vessels ; Diabetes ; Diabetes Mellitus, Type 2 - epidemiology ; Epidemiology ; Exercise ; Female ; Fitness equipment ; Glucose ; Human Physiology ; Humans ; Incidence ; Internal Medicine ; Male ; Medicine ; Medicine &amp; Public Health ; Metabolic Diseases ; Metabolic syndrome ; Middle age ; Mortality ; Multicenter Studies as Topic ; Pediatrics ; Physical fitness ; Physical Fitness - physiology ; Prediabetic State - epidemiology ; Preventive medicine ; Prospective Studies ; Risk Factors ; Trends ; Veins &amp; arteries ; Young Adult ; Young adults</subject><ispartof>Diabetologia, 2016-08, Vol.59 (8), p.1659-1665</ispartof><rights>Springer-Verlag Berlin Heidelberg 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-p245t-7ee0744767ebca67db1bb574a38cd0491429ae093ac86b7181d84dd5abb6caf03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00125-016-3969-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00125-016-3969-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27181604$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chow, Lisa S.</creatorcontrib><creatorcontrib>Odegaard, Andrew O.</creatorcontrib><creatorcontrib>Bosch, Tyler A.</creatorcontrib><creatorcontrib>Bantle, Anne E.</creatorcontrib><creatorcontrib>Wang, Qi</creatorcontrib><creatorcontrib>Hughes, John</creatorcontrib><creatorcontrib>Carnethon, Mercedes</creatorcontrib><creatorcontrib>Ingram, Katherine H.</creatorcontrib><creatorcontrib>Durant, Nefertiti</creatorcontrib><creatorcontrib>Lewis, Cora E.</creatorcontrib><creatorcontrib>Ryder, Justin</creatorcontrib><creatorcontrib>Shay, Christina M.</creatorcontrib><creatorcontrib>Kelly, Aaron S.</creatorcontrib><creatorcontrib>Schreiner, Pamela J.</creatorcontrib><title>Twenty year fitness trends in young adults and incidence of prediabetes and diabetes: the CARDIA study</title><title>Diabetologia</title><addtitle>Diabetologia</addtitle><addtitle>Diabetologia</addtitle><description>Aims/hypothesis The prospective association between cardiorespiratory fitness (CRF) measured in young adulthood and middle age on development of prediabetes, defined as impaired fasting glucose and/or impaired glucose tolerance, or diabetes by middle age remains unknown. We hypothesised that higher fitness levels would be associated with reduced risk for developing incident prediabetes/diabetes by middle age. Methods Participants were from the Coronary Artery Risk Development in Young Adults (CARDIA) study who were free from prediabetes/diabetes at baseline (year 0 [Y0]: 1985–1986). CRF was quantified by treadmill duration (converted to metabolic equivalents [METs]) at Y0, Y7 and Y20 and prediabetes/diabetes status was assessed at Y0, Y7, Y10, Y15, Y20 and Y25. We use an extended Cox model with CRF as the primary time-varying exposure. BMI was included as a time-varying covariate. The outcome was development of either prediabetes or diabetes after Y0. Model 1 included age, race, sex, field centre, CRF and BMI. Model 2 additionally included baseline (Y0) smoking, energy intake, alcohol intake, education, systolic BP, BP medication use and lipid profile. Results Higher fitness was associated with lower risk for developing incident prediabetes/diabetes (difference of 1 MET: HR 0.99898 [95% CI 0.99861, 0.99940], p  &lt; 0.01), which persisted (difference of 1 MET: HR 0.99872 [95% CI 0.99840, 0.99904], p  &lt; 0.01] when adjusting for covariates. Conclusions/interpretation Examining participants who had fitness measured from young adulthood to middle age, we found that fitness was associated with lower risk for developing prediabetes/diabetes, even when adjusting for BMI over this time period. These findings emphasise the importance of fitness in reducing the health burden of prediabetes and diabetes.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Blood Pressure - physiology</subject><subject>Cardiovascular disease</subject><subject>Cohort Studies</subject><subject>Coronary vessels</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Epidemiology</subject><subject>Exercise</subject><subject>Female</subject><subject>Fitness equipment</subject><subject>Glucose</subject><subject>Human Physiology</subject><subject>Humans</subject><subject>Incidence</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Metabolic Diseases</subject><subject>Metabolic syndrome</subject><subject>Middle age</subject><subject>Mortality</subject><subject>Multicenter Studies as Topic</subject><subject>Pediatrics</subject><subject>Physical fitness</subject><subject>Physical Fitness - physiology</subject><subject>Prediabetic State - epidemiology</subject><subject>Preventive medicine</subject><subject>Prospective Studies</subject><subject>Risk Factors</subject><subject>Trends</subject><subject>Veins &amp; arteries</subject><subject>Young Adult</subject><subject>Young adults</subject><issn>0012-186X</issn><issn>1432-0428</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkU9r3DAQxUVpSDZpPkAvRdBLL05GlizJvS3b_FlYCIQN9CYka7x12JW3lkzwt4_N7kLpKadh5v2Y4c0j5CuDGwagbiMAy4sMmMx4Kcus-ERmTPA8A5Hrz2Q2yRnT8vcFuYzxFQB4IeQ5ucgV00yCmJF6_YYhDXRA29G6SQFjpKnD4CNtAh3aPmyo9f02RWqDH2dV4zFUSNua7jv0jXWY8CCemp80_UG6mD__Ws5pTL0fvpCz2m4jXh_rFXm5v1svHrPV08NyMV9l-1wUKVOIoIRQUqGrrFTeMecKJSzXlQdRMpGXFqHkttLSTSa8Ft4X1jlZ2Rr4Fflx2Lvv2r89xmR2Taxwu7UB2z4apkHLAnQuP4KO5yTXakS__4e-tn0XRiMTBSWTXE7UtyPVux16s--ane0Gc3r2COQHII5S2GD3zxowU6LmkKgZEzVToqbg7xOXkAk</recordid><startdate>20160801</startdate><enddate>20160801</enddate><creator>Chow, Lisa S.</creator><creator>Odegaard, Andrew O.</creator><creator>Bosch, Tyler A.</creator><creator>Bantle, Anne E.</creator><creator>Wang, Qi</creator><creator>Hughes, John</creator><creator>Carnethon, Mercedes</creator><creator>Ingram, Katherine H.</creator><creator>Durant, Nefertiti</creator><creator>Lewis, Cora E.</creator><creator>Ryder, Justin</creator><creator>Shay, Christina M.</creator><creator>Kelly, Aaron S.</creator><creator>Schreiner, Pamela J.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20160801</creationdate><title>Twenty year fitness trends in young adults and incidence of prediabetes and diabetes: the CARDIA study</title><author>Chow, Lisa S. ; Odegaard, Andrew O. ; Bosch, Tyler A. ; Bantle, Anne E. ; Wang, Qi ; Hughes, John ; Carnethon, Mercedes ; Ingram, Katherine H. ; Durant, Nefertiti ; Lewis, Cora E. ; Ryder, Justin ; Shay, Christina M. ; Kelly, Aaron S. ; Schreiner, Pamela J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p245t-7ee0744767ebca67db1bb574a38cd0491429ae093ac86b7181d84dd5abb6caf03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Blood Pressure - physiology</topic><topic>Cardiovascular disease</topic><topic>Cohort Studies</topic><topic>Coronary vessels</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Epidemiology</topic><topic>Exercise</topic><topic>Female</topic><topic>Fitness equipment</topic><topic>Glucose</topic><topic>Human Physiology</topic><topic>Humans</topic><topic>Incidence</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Metabolic Diseases</topic><topic>Metabolic syndrome</topic><topic>Middle age</topic><topic>Mortality</topic><topic>Multicenter Studies as Topic</topic><topic>Pediatrics</topic><topic>Physical fitness</topic><topic>Physical Fitness - physiology</topic><topic>Prediabetic State - epidemiology</topic><topic>Preventive medicine</topic><topic>Prospective Studies</topic><topic>Risk Factors</topic><topic>Trends</topic><topic>Veins &amp; arteries</topic><topic>Young Adult</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chow, Lisa S.</creatorcontrib><creatorcontrib>Odegaard, Andrew O.</creatorcontrib><creatorcontrib>Bosch, Tyler A.</creatorcontrib><creatorcontrib>Bantle, Anne E.</creatorcontrib><creatorcontrib>Wang, Qi</creatorcontrib><creatorcontrib>Hughes, John</creatorcontrib><creatorcontrib>Carnethon, Mercedes</creatorcontrib><creatorcontrib>Ingram, Katherine H.</creatorcontrib><creatorcontrib>Durant, Nefertiti</creatorcontrib><creatorcontrib>Lewis, Cora E.</creatorcontrib><creatorcontrib>Ryder, Justin</creatorcontrib><creatorcontrib>Shay, Christina M.</creatorcontrib><creatorcontrib>Kelly, Aaron S.</creatorcontrib><creatorcontrib>Schreiner, Pamela J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical 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><jtitle>Diabetologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chow, Lisa S.</au><au>Odegaard, Andrew O.</au><au>Bosch, Tyler A.</au><au>Bantle, Anne E.</au><au>Wang, Qi</au><au>Hughes, John</au><au>Carnethon, Mercedes</au><au>Ingram, Katherine H.</au><au>Durant, Nefertiti</au><au>Lewis, Cora E.</au><au>Ryder, Justin</au><au>Shay, Christina M.</au><au>Kelly, Aaron S.</au><au>Schreiner, Pamela J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Twenty year fitness trends in young adults and incidence of prediabetes and diabetes: the CARDIA study</atitle><jtitle>Diabetologia</jtitle><stitle>Diabetologia</stitle><addtitle>Diabetologia</addtitle><date>2016-08-01</date><risdate>2016</risdate><volume>59</volume><issue>8</issue><spage>1659</spage><epage>1665</epage><pages>1659-1665</pages><issn>0012-186X</issn><eissn>1432-0428</eissn><abstract>Aims/hypothesis The prospective association between cardiorespiratory fitness (CRF) measured in young adulthood and middle age on development of prediabetes, defined as impaired fasting glucose and/or impaired glucose tolerance, or diabetes by middle age remains unknown. We hypothesised that higher fitness levels would be associated with reduced risk for developing incident prediabetes/diabetes by middle age. Methods Participants were from the Coronary Artery Risk Development in Young Adults (CARDIA) study who were free from prediabetes/diabetes at baseline (year 0 [Y0]: 1985–1986). CRF was quantified by treadmill duration (converted to metabolic equivalents [METs]) at Y0, Y7 and Y20 and prediabetes/diabetes status was assessed at Y0, Y7, Y10, Y15, Y20 and Y25. We use an extended Cox model with CRF as the primary time-varying exposure. BMI was included as a time-varying covariate. The outcome was development of either prediabetes or diabetes after Y0. Model 1 included age, race, sex, field centre, CRF and BMI. Model 2 additionally included baseline (Y0) smoking, energy intake, alcohol intake, education, systolic BP, BP medication use and lipid profile. Results Higher fitness was associated with lower risk for developing incident prediabetes/diabetes (difference of 1 MET: HR 0.99898 [95% CI 0.99861, 0.99940], p  &lt; 0.01), which persisted (difference of 1 MET: HR 0.99872 [95% CI 0.99840, 0.99904], p  &lt; 0.01] when adjusting for covariates. Conclusions/interpretation Examining participants who had fitness measured from young adulthood to middle age, we found that fitness was associated with lower risk for developing prediabetes/diabetes, even when adjusting for BMI over this time period. These findings emphasise the importance of fitness in reducing the health burden of prediabetes and diabetes.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27181604</pmid><doi>10.1007/s00125-016-3969-5</doi><tpages>7</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0012-186X
ispartof Diabetologia, 2016-08, Vol.59 (8), p.1659-1665
issn 0012-186X
1432-0428
language eng
recordid cdi_proquest_miscellaneous_1808650826
source MEDLINE; Springer Nature - Complete Springer Journals
subjects Adolescent
Adult
Blood Pressure - physiology
Cardiovascular disease
Cohort Studies
Coronary vessels
Diabetes
Diabetes Mellitus, Type 2 - epidemiology
Epidemiology
Exercise
Female
Fitness equipment
Glucose
Human Physiology
Humans
Incidence
Internal Medicine
Male
Medicine
Medicine & Public Health
Metabolic Diseases
Metabolic syndrome
Middle age
Mortality
Multicenter Studies as Topic
Pediatrics
Physical fitness
Physical Fitness - physiology
Prediabetic State - epidemiology
Preventive medicine
Prospective Studies
Risk Factors
Trends
Veins & arteries
Young Adult
Young adults
title Twenty year fitness trends in young adults and incidence of prediabetes and diabetes: the CARDIA study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T22%3A59%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Twenty%20year%20fitness%20trends%20in%20young%20adults%20and%20incidence%20of%20prediabetes%20and%20diabetes:%20the%20CARDIA%20study&rft.jtitle=Diabetologia&rft.au=Chow,%20Lisa%20S.&rft.date=2016-08-01&rft.volume=59&rft.issue=8&rft.spage=1659&rft.epage=1665&rft.pages=1659-1665&rft.issn=0012-186X&rft.eissn=1432-0428&rft_id=info:doi/10.1007/s00125-016-3969-5&rft_dat=%3Cproquest_pubme%3E1801426387%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1800916367&rft_id=info:pmid/27181604&rfr_iscdi=true