Marijuana use and risk of prediabetes and diabetes by middle adulthood: the Coronary Artery Risk Development in Young Adults (CARDIA) ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Michael P. Bancks, Mark J. Pletcher, Stefan G. Kertesz, Stephen Sidney, Jamal S. Rana, Pamela J. Schreiner

ABSTRACT

AIMS/HYPOTHESIS: The impact of marijuana use on metabolic health is largely unknown. This study sought to clarify the cross-sectional and longitudinal associations between self-reported marijuana use, and prediabetes (defined as fasting glucose 5.6-6.9 mmol/l, 2 h glucose post OGTT 7.8-11.0 mmol/l or HbA1c 5.7-6.4% [39-47 mmol/mol]) and diabetes. METHODS: Data from the community-based Coronary Artery Risk Development in Young Adults (CARDIA) study were used to determine marijuana use and the presence of prediabetes and diabetes among participants. The association between marijuana use and the prevalence of prediabetes and diabetes was examined in 3,034 participants at CARDIA examination year 25 (2010-2011), while the incidence of prediabetes and diabetes according to previous marijuana use was assessed in 3,151 individuals who were free from prediabetes/diabetes at year 7 (1992-1993) and who returned for at least one of the four subsequent follow-up examinations over 18 years. RESULTS: The percentage of individuals who self-reported current use of marijuana declined over the course of the study's follow-up. After multivariable adjustment, higher odds of prediabetes were found for individuals who reported current use of marijuana (OR 1.65 [95% CI 1.15, 2.38]) and a lifetime use of 100 times or more (OR 1.49 [95% CI 1.06, 2.11]), compared with individuals who reported never using marijuana. There was no association between marijuana use and diabetes at CARDIA examination year 25. Over 18 years of follow-up, a greater risk of prediabetes (but not diabetes) was found for individuals who reported a lifetime use of marijuana of 100 times or more (HR 1.39 [95% CI 1.13, 1.71]), compared with individuals who had never used marijuana. CONCLUSIONS/INTERPRETATION: Marijuana use in young adulthood is associated with an increased risk of prediabetes by middle adulthood, but not with the development of diabetes by this age. More... »

PAGES

2736-2744

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00125-015-3740-3

DOI

http://dx.doi.org/10.1007/s00125-015-3740-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024656626

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26364621


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Artery Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diabetes Mellitus, Type 2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glucose Tolerance Test", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glycated Hemoglobin A", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Incidence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Longitudinal Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Marijuana Smoking", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prediabetic State", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Socioeconomic Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Substance-Related Disorders", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Department of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South Second Street, Suite 300, 55454, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bancks", 
        "givenName": "Michael P.", 
        "id": "sg:person.0637216326.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637216326.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Francisco", 
          "id": "https://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Departments of Epidemiology and Biostatistics and Medicine, School of Medicine, University of California San Francisco, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pletcher", 
        "givenName": "Mark J.", 
        "id": "sg:person.01033057375.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033057375.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Alabama at Birmingham", 
          "id": "https://www.grid.ac/institutes/grid.265892.2", 
          "name": [
            "Birmingham VA Medical Center, Birmingham, AL, USA", 
            "Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kertesz", 
        "givenName": "Stefan G.", 
        "id": "sg:person.01214633331.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214633331.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kaiser Permanente", 
          "id": "https://www.grid.ac/institutes/grid.280062.e", 
          "name": [
            "Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sidney", 
        "givenName": "Stephen", 
        "id": "sg:person.013741473237.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013741473237.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Francisco", 
          "id": "https://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA", 
            "Department of Cardiology, Kaiser Permanente Northern California, Oakland, CA, USA", 
            "Department of Medicine, University of California San Francisco, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rana", 
        "givenName": "Jamal S.", 
        "id": "sg:person.011163355377.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011163355377.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Department of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South Second Street, Suite 300, 55454, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schreiner", 
        "givenName": "Pamela J.", 
        "id": "sg:person.015724275712.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015724275712.61"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1001/archinte.166.3.345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000633627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1165/ajrcmb.20.6.3424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004583456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0000000000000314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007525826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0000000000000314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007525826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0000000000000314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007525826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc14-s081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009852107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11606-011-1975-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013662134", 
          "https://doi.org/10.1007/s11606-011-1975-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008483-198911000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013801360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008483-198911000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013801360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008483-198911000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013801360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjcard.2006.03.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014380608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0007114507701654", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016519579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0007114507701654", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016519579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc12-2303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019364826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc08-0760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019380090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjmed.2013.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022683529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1079/phn2000114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024471488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwr200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028163209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/1047-2797(96)00005-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032522684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3945/ajcn.111.020719", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033727725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/08916930500356674", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036866761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0895-4356(88)90080-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037439545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.phymed.2012.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042606612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmjopen-2011-000494", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042981453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1360-0443.2002.00280.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045107814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077844400", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "AIMS/HYPOTHESIS: The impact of marijuana use on metabolic health is largely unknown. This study sought to clarify the cross-sectional and longitudinal associations between self-reported marijuana use, and prediabetes (defined as fasting glucose 5.6-6.9 mmol/l, 2 h glucose post OGTT 7.8-11.0 mmol/l or HbA1c 5.7-6.4% [39-47 mmol/mol]) and diabetes.\nMETHODS: Data from the community-based Coronary Artery Risk Development in Young Adults (CARDIA) study were used to determine marijuana use and the presence of prediabetes and diabetes among participants. The association between marijuana use and the prevalence of prediabetes and diabetes was examined in 3,034 participants at CARDIA examination year 25 (2010-2011), while the incidence of prediabetes and diabetes according to previous marijuana use was assessed in 3,151 individuals who were free from prediabetes/diabetes at year 7 (1992-1993) and who returned for at least one of the four subsequent follow-up examinations over 18 years.\nRESULTS: The percentage of individuals who self-reported current use of marijuana declined over the course of the study's follow-up. After multivariable adjustment, higher odds of prediabetes were found for individuals who reported current use of marijuana (OR 1.65 [95% CI 1.15, 2.38]) and a lifetime use of 100 times or more (OR 1.49 [95% CI 1.06, 2.11]), compared with individuals who reported never using marijuana. There was no association between marijuana use and diabetes at CARDIA examination year 25. Over 18 years of follow-up, a greater risk of prediabetes (but not diabetes) was found for individuals who reported a lifetime use of marijuana of 100 times or more (HR 1.39 [95% CI 1.13, 1.71]), compared with individuals who had never used marijuana.\nCONCLUSIONS/INTERPRETATION: Marijuana use in young adulthood is associated with an increased risk of prediabetes by middle adulthood, but not with the development of diabetes by this age.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00125-015-3740-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2345333", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345729", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345730", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345727", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345733", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345728", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2684830", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1001482", 
        "issn": [
          "0012-186X", 
          "1432-0428"
        ], 
        "name": "Diabetologia", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "58"
      }
    ], 
    "name": "Marijuana use and risk of prediabetes and diabetes by middle adulthood: the Coronary Artery Risk Development in Young Adults (CARDIA) study", 
    "pagination": "2736-2744", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "75770d6cda3306e45836e3a33762e1d000c2949c1ca505dfb9d42fcf121b0480"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26364621"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0006777"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00125-015-3740-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024656626"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00125-015-3740-3", 
      "https://app.dimensions.ai/details/publication/pub.1024656626"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89824_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00125-015-3740-3"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00125-015-3740-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00125-015-3740-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00125-015-3740-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00125-015-3740-3'


 

This table displays all metadata directly associated to this object as RDF triples.

262 TRIPLES      21 PREDICATES      67 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00125-015-3740-3 schema:about N0bf0802592a74a90a7d096acf3f36eae
2 N1ee6ed12871e45679b321719b4994230
3 N1eea726db30540cf80731da2576f3974
4 N38207b94f7854e4fbdd15e55ae3b2dca
5 N45e2dc4e620f4991a0cd465cc9dddda4
6 N571a4c95db80416eadededd50fb7e2e5
7 N7a5e250e6e7f46d58719e8888b39297e
8 N7d41fcdfa7b14027a45f83274cff58fb
9 N7e63fcf4564e49a4818087de78735dc8
10 N7f05e8b456214f8097259dbfd97abf6d
11 Nade7874a344c4d29a93c40a62926e56d
12 Ncb5949d6a9de443481fda2f49bcab916
13 Ne76212e80dcd40ae9cc2e8bc75957a39
14 Ne911613046fb457897cd23f970f6b5e0
15 Nf2a0c46fd5ac44e8b5ea601263ecf34d
16 Nfc77248524a8444ebfa07d58083a3d88
17 Nfd60a3cf04e444489e439e68622f2456
18 anzsrc-for:11
19 anzsrc-for:1117
20 schema:author Nb0272a5fbb54490886c1767e5371188e
21 schema:citation sg:pub.10.1007/s11606-011-1975-3
22 https://app.dimensions.ai/details/publication/pub.1077844400
23 https://doi.org/10.1001/archinte.166.3.345
24 https://doi.org/10.1016/0895-4356(88)90080-7
25 https://doi.org/10.1016/1047-2797(96)00005-1
26 https://doi.org/10.1016/j.amjcard.2006.03.024
27 https://doi.org/10.1016/j.amjmed.2013.03.002
28 https://doi.org/10.1016/j.phymed.2012.02.001
29 https://doi.org/10.1017/s0007114507701654
30 https://doi.org/10.1046/j.1360-0443.2002.00280.x
31 https://doi.org/10.1079/phn2000114
32 https://doi.org/10.1080/08916930500356674
33 https://doi.org/10.1093/aje/kwr200
34 https://doi.org/10.1097/00008483-198911000-00003
35 https://doi.org/10.1097/ede.0000000000000314
36 https://doi.org/10.1136/bmjopen-2011-000494
37 https://doi.org/10.1165/ajrcmb.20.6.3424
38 https://doi.org/10.2337/dc08-0760
39 https://doi.org/10.2337/dc12-2303
40 https://doi.org/10.2337/dc14-s081
41 https://doi.org/10.3945/ajcn.111.020719
42 schema:datePublished 2015-12
43 schema:datePublishedReg 2015-12-01
44 schema:description AIMS/HYPOTHESIS: The impact of marijuana use on metabolic health is largely unknown. This study sought to clarify the cross-sectional and longitudinal associations between self-reported marijuana use, and prediabetes (defined as fasting glucose 5.6-6.9 mmol/l, 2 h glucose post OGTT 7.8-11.0 mmol/l or HbA1c 5.7-6.4% [39-47 mmol/mol]) and diabetes. METHODS: Data from the community-based Coronary Artery Risk Development in Young Adults (CARDIA) study were used to determine marijuana use and the presence of prediabetes and diabetes among participants. The association between marijuana use and the prevalence of prediabetes and diabetes was examined in 3,034 participants at CARDIA examination year 25 (2010-2011), while the incidence of prediabetes and diabetes according to previous marijuana use was assessed in 3,151 individuals who were free from prediabetes/diabetes at year 7 (1992-1993) and who returned for at least one of the four subsequent follow-up examinations over 18 years. RESULTS: The percentage of individuals who self-reported current use of marijuana declined over the course of the study's follow-up. After multivariable adjustment, higher odds of prediabetes were found for individuals who reported current use of marijuana (OR 1.65 [95% CI 1.15, 2.38]) and a lifetime use of 100 times or more (OR 1.49 [95% CI 1.06, 2.11]), compared with individuals who reported never using marijuana. There was no association between marijuana use and diabetes at CARDIA examination year 25. Over 18 years of follow-up, a greater risk of prediabetes (but not diabetes) was found for individuals who reported a lifetime use of marijuana of 100 times or more (HR 1.39 [95% CI 1.13, 1.71]), compared with individuals who had never used marijuana. CONCLUSIONS/INTERPRETATION: Marijuana use in young adulthood is associated with an increased risk of prediabetes by middle adulthood, but not with the development of diabetes by this age.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree true
48 schema:isPartOf Na367e42ad4dd4db8961c8dd70275c943
49 Ncde09f568915461494c730385579b8a5
50 sg:journal.1001482
51 schema:name Marijuana use and risk of prediabetes and diabetes by middle adulthood: the Coronary Artery Risk Development in Young Adults (CARDIA) study
52 schema:pagination 2736-2744
53 schema:productId N1a6a97b1415d4303b4bccb4fcfb3b0be
54 N33b9a19d6a8f4a9ab57be240f0f1067f
55 N71fef60bed5348b8b022f0ccf9ac14d5
56 N7af3c5813afc405987c06c81b24d6887
57 Na8e3335e1f1e4ecf81a334910dda1e5a
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024656626
59 https://doi.org/10.1007/s00125-015-3740-3
60 schema:sdDatePublished 2019-04-11T10:03
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher Nd0c41c9dc51a44a88fe46af56fee282e
63 schema:url https://link.springer.com/10.1007%2Fs00125-015-3740-3
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N0bf0802592a74a90a7d096acf3f36eae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Young Adult
69 rdf:type schema:DefinedTerm
70 N1a6a97b1415d4303b4bccb4fcfb3b0be schema:name nlm_unique_id
71 schema:value 0006777
72 rdf:type schema:PropertyValue
73 N1ee6ed12871e45679b321719b4994230 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Male
75 rdf:type schema:DefinedTerm
76 N1eea726db30540cf80731da2576f3974 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Risk
78 rdf:type schema:DefinedTerm
79 N33b9a19d6a8f4a9ab57be240f0f1067f schema:name readcube_id
80 schema:value 75770d6cda3306e45836e3a33762e1d000c2949c1ca505dfb9d42fcf121b0480
81 rdf:type schema:PropertyValue
82 N38207b94f7854e4fbdd15e55ae3b2dca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Cross-Sectional Studies
84 rdf:type schema:DefinedTerm
85 N45e2dc4e620f4991a0cd465cc9dddda4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Socioeconomic Factors
87 rdf:type schema:DefinedTerm
88 N571a4c95db80416eadededd50fb7e2e5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Longitudinal Studies
90 rdf:type schema:DefinedTerm
91 N71fef60bed5348b8b022f0ccf9ac14d5 schema:name dimensions_id
92 schema:value pub.1024656626
93 rdf:type schema:PropertyValue
94 N7a5e250e6e7f46d58719e8888b39297e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Surveys and Questionnaires
96 rdf:type schema:DefinedTerm
97 N7af3c5813afc405987c06c81b24d6887 schema:name pubmed_id
98 schema:value 26364621
99 rdf:type schema:PropertyValue
100 N7d41fcdfa7b14027a45f83274cff58fb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Coronary Artery Disease
102 rdf:type schema:DefinedTerm
103 N7e63fcf4564e49a4818087de78735dc8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Female
105 rdf:type schema:DefinedTerm
106 N7f05e8b456214f8097259dbfd97abf6d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Incidence
108 rdf:type schema:DefinedTerm
109 N98d7a030d92a46d6b7da1970edc2e6f5 rdf:first sg:person.011163355377.64
110 rdf:rest Nc34b45bd5d874251a55863e997b666cf
111 Na10fba7c30a14a17b8a262bb4fafc6ab rdf:first sg:person.01214633331.60
112 rdf:rest Nfbc860d390d3490581d285995ec51b3f
113 Na367e42ad4dd4db8961c8dd70275c943 schema:issueNumber 12
114 rdf:type schema:PublicationIssue
115 Na8e3335e1f1e4ecf81a334910dda1e5a schema:name doi
116 schema:value 10.1007/s00125-015-3740-3
117 rdf:type schema:PropertyValue
118 Na99d5422f46544fa86950e6d7ec840e6 rdf:first sg:person.01033057375.53
119 rdf:rest Na10fba7c30a14a17b8a262bb4fafc6ab
120 Nade7874a344c4d29a93c40a62926e56d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Diabetes Mellitus, Type 2
122 rdf:type schema:DefinedTerm
123 Nb0272a5fbb54490886c1767e5371188e rdf:first sg:person.0637216326.00
124 rdf:rest Na99d5422f46544fa86950e6d7ec840e6
125 Nc34b45bd5d874251a55863e997b666cf rdf:first sg:person.015724275712.61
126 rdf:rest rdf:nil
127 Ncb5949d6a9de443481fda2f49bcab916 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Humans
129 rdf:type schema:DefinedTerm
130 Ncde09f568915461494c730385579b8a5 schema:volumeNumber 58
131 rdf:type schema:PublicationVolume
132 Nd0c41c9dc51a44a88fe46af56fee282e schema:name Springer Nature - SN SciGraph project
133 rdf:type schema:Organization
134 Ne76212e80dcd40ae9cc2e8bc75957a39 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Prediabetic State
136 rdf:type schema:DefinedTerm
137 Ne911613046fb457897cd23f970f6b5e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Marijuana Smoking
139 rdf:type schema:DefinedTerm
140 Nf2a0c46fd5ac44e8b5ea601263ecf34d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Substance-Related Disorders
142 rdf:type schema:DefinedTerm
143 Nfbc860d390d3490581d285995ec51b3f rdf:first sg:person.013741473237.84
144 rdf:rest N98d7a030d92a46d6b7da1970edc2e6f5
145 Nfc77248524a8444ebfa07d58083a3d88 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Glycated Hemoglobin A
147 rdf:type schema:DefinedTerm
148 Nfd60a3cf04e444489e439e68622f2456 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Glucose Tolerance Test
150 rdf:type schema:DefinedTerm
151 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
152 schema:name Medical and Health Sciences
153 rdf:type schema:DefinedTerm
154 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
155 schema:name Public Health and Health Services
156 rdf:type schema:DefinedTerm
157 sg:grant.2345333 http://pending.schema.org/fundedItem sg:pub.10.1007/s00125-015-3740-3
158 rdf:type schema:MonetaryGrant
159 sg:grant.2345727 http://pending.schema.org/fundedItem sg:pub.10.1007/s00125-015-3740-3
160 rdf:type schema:MonetaryGrant
161 sg:grant.2345728 http://pending.schema.org/fundedItem sg:pub.10.1007/s00125-015-3740-3
162 rdf:type schema:MonetaryGrant
163 sg:grant.2345729 http://pending.schema.org/fundedItem sg:pub.10.1007/s00125-015-3740-3
164 rdf:type schema:MonetaryGrant
165 sg:grant.2345730 http://pending.schema.org/fundedItem sg:pub.10.1007/s00125-015-3740-3
166 rdf:type schema:MonetaryGrant
167 sg:grant.2345733 http://pending.schema.org/fundedItem sg:pub.10.1007/s00125-015-3740-3
168 rdf:type schema:MonetaryGrant
169 sg:grant.2684830 http://pending.schema.org/fundedItem sg:pub.10.1007/s00125-015-3740-3
170 rdf:type schema:MonetaryGrant
171 sg:journal.1001482 schema:issn 0012-186X
172 1432-0428
173 schema:name Diabetologia
174 rdf:type schema:Periodical
175 sg:person.01033057375.53 schema:affiliation https://www.grid.ac/institutes/grid.266102.1
176 schema:familyName Pletcher
177 schema:givenName Mark J.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033057375.53
179 rdf:type schema:Person
180 sg:person.011163355377.64 schema:affiliation https://www.grid.ac/institutes/grid.266102.1
181 schema:familyName Rana
182 schema:givenName Jamal S.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011163355377.64
184 rdf:type schema:Person
185 sg:person.01214633331.60 schema:affiliation https://www.grid.ac/institutes/grid.265892.2
186 schema:familyName Kertesz
187 schema:givenName Stefan G.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214633331.60
189 rdf:type schema:Person
190 sg:person.013741473237.84 schema:affiliation https://www.grid.ac/institutes/grid.280062.e
191 schema:familyName Sidney
192 schema:givenName Stephen
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013741473237.84
194 rdf:type schema:Person
195 sg:person.015724275712.61 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
196 schema:familyName Schreiner
197 schema:givenName Pamela J.
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015724275712.61
199 rdf:type schema:Person
200 sg:person.0637216326.00 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
201 schema:familyName Bancks
202 schema:givenName Michael P.
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637216326.00
204 rdf:type schema:Person
205 sg:pub.10.1007/s11606-011-1975-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013662134
206 https://doi.org/10.1007/s11606-011-1975-3
207 rdf:type schema:CreativeWork
208 https://app.dimensions.ai/details/publication/pub.1077844400 schema:CreativeWork
209 https://doi.org/10.1001/archinte.166.3.345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000633627
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/0895-4356(88)90080-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037439545
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/1047-2797(96)00005-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032522684
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.amjcard.2006.03.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014380608
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/j.amjmed.2013.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022683529
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.phymed.2012.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042606612
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1017/s0007114507701654 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016519579
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1046/j.1360-0443.2002.00280.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045107814
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1079/phn2000114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024471488
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1080/08916930500356674 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036866761
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1093/aje/kwr200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028163209
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1097/00008483-198911000-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013801360
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1097/ede.0000000000000314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007525826
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1136/bmjopen-2011-000494 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042981453
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1165/ajrcmb.20.6.3424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004583456
238 rdf:type schema:CreativeWork
239 https://doi.org/10.2337/dc08-0760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019380090
240 rdf:type schema:CreativeWork
241 https://doi.org/10.2337/dc12-2303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019364826
242 rdf:type schema:CreativeWork
243 https://doi.org/10.2337/dc14-s081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009852107
244 rdf:type schema:CreativeWork
245 https://doi.org/10.3945/ajcn.111.020719 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033727725
246 rdf:type schema:CreativeWork
247 https://www.grid.ac/institutes/grid.17635.36 schema:alternateName University of Minnesota
248 schema:name Department of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South Second Street, Suite 300, 55454, Minneapolis, MN, USA
249 rdf:type schema:Organization
250 https://www.grid.ac/institutes/grid.265892.2 schema:alternateName University of Alabama at Birmingham
251 schema:name Birmingham VA Medical Center, Birmingham, AL, USA
252 Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
253 rdf:type schema:Organization
254 https://www.grid.ac/institutes/grid.266102.1 schema:alternateName University of California, San Francisco
255 schema:name Department of Cardiology, Kaiser Permanente Northern California, Oakland, CA, USA
256 Department of Medicine, University of California San Francisco, San Francisco, CA, USA
257 Departments of Epidemiology and Biostatistics and Medicine, School of Medicine, University of California San Francisco, San Francisco, CA, USA
258 Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
259 rdf:type schema:Organization
260 https://www.grid.ac/institutes/grid.280062.e schema:alternateName Kaiser Permanente
261 schema:name Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
262 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...