Change in Diabetes Prevalence and Control among New York City Adults: NYC Health and Nutrition Examination Surveys 2004–2014 View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Lorna E. Thorpe, Rania Kanchi, Shadi Chamany, Jesica S. Rodriguez-Lopez, Claudia Chernov, Amy Freeman, Sharon E. Perlman

ABSTRACT

National examination surveys provide trend information on diabetes prevalence, diagnoses, and control. Few localities have access to such information. Using a similar design as the National Health and Nutrition Examination Survey (NHANES), two NYC Health and Nutrition Examination Surveys (NYC HANES) were conducted over a decade, recruiting adults ≥ 20 years using household probability samples (n = 1808 in 2004; n = 1246 in 2013-2014) and physical exam survey methods benchmarked against NHANES. Participants had diagnosed diabetes if told by a health provider they had diabetes, and undiagnosed diabetes if they had no diagnosis but a fasting plasma glucose ≥ 126 mg/dl or A1C ≥ 6.5%. We found that between 2004 and 2014, total diabetes prevalence (diagnosed and undiagnosed) in NYC increased from 13.4 to 16.0% (P = 0.089). In 2013-2014, racial/ethnic disparities in diabetes burden had widened; diabetes was highest among Asians (24.6%), and prevalence was significantly lower among non-Hispanic white adults (7.7%) compared to that among other racial/ethnic groups (P < 0.001). Among adults with diabetes, the proportion of cases diagnosed increased from 68.3 to 77.3% (P = 0.234), and diagnosed cases with very poor control (A1C > 9%), decreased from 26.9 to 18.0% (P = 0.269), though both were non-significant. While local racial/ethnic disparities in diabetes prevalence persist, findings suggest modest improvements in diabetes diagnosis and management. More... »

PAGES

826-831

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11524-018-0285-z

DOI

http://dx.doi.org/10.1007/s11524-018-0285-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105444292

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29987771


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "New York University", 
          "id": "https://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "Department of Population Health, NYU School of Medicine, 560 1st Ave, 10016, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thorpe", 
        "givenName": "Lorna E.", 
        "id": "sg:person.01364404134.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364404134.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "New York University", 
          "id": "https://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "Department of Population Health, NYU School of Medicine, 560 1st Ave, 10016, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kanchi", 
        "givenName": "Rania", 
        "id": "sg:person.011426450070.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011426450070.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Prevention and Primary Care, NYC Department of Health and Mental Hygiene, Long Island City, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chamany", 
        "givenName": "Shadi", 
        "id": "sg:person.01173233623.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173233623.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of La Salle", 
          "id": "https://www.grid.ac/institutes/grid.442163.6", 
          "name": [
            "Universidad De La Salle, Bogot\u00e1, Colombia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rodriguez-Lopez", 
        "givenName": "Jesica S.", 
        "id": "sg:person.01011655627.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011655627.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Epidemiology, NYC Department of Health and Mental Hygiene, Long Island City, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chernov", 
        "givenName": "Claudia", 
        "id": "sg:person.01174217427.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174217427.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "New York University", 
          "id": "https://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "Department of Population Health, NYU School of Medicine, 560 1st Ave, 10016, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Freeman", 
        "givenName": "Amy", 
        "id": "sg:person.015202632130.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015202632130.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Epidemiology, NYC Department of Health and Mental Hygiene, Long Island City, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Perlman", 
        "givenName": "Sharon E.", 
        "id": "sg:person.01025307527.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025307527.55"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1056/nejmsa1213829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007110759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.hjdsi.2013.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007177313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.27.1.66", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013519860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyn108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013550028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc13-s067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020739314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1468-0009.2009.00568.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020764568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1468-0009.2009.00568.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020764568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.13063/2327-9214.1131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036437967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pmedr.2015.06.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037304573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pmedr.2015.06.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037304573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc12-2258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039161803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.2011.300622", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068845762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-150-8-200904210-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073710735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077256193", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11892-017-0895-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090931119", 
          "https://doi.org/10.1007/s11892-017-0895-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11892-017-0895-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090931119", 
          "https://doi.org/10.1007/s11892-017-0895-y"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "National examination surveys provide trend information on diabetes prevalence, diagnoses, and control. Few localities have access to such information. Using a similar design as the National Health and Nutrition Examination Survey (NHANES), two NYC Health and Nutrition Examination Surveys (NYC HANES) were conducted over a decade, recruiting adults \u2265\u200920\u00a0years using household probability samples (n\u00a0=\u20091808 in 2004; n\u00a0=\u20091246 in 2013-2014) and physical exam survey methods benchmarked against NHANES. Participants had diagnosed diabetes if told by a health provider they had diabetes, and undiagnosed diabetes if they had no diagnosis but a fasting plasma glucose \u2265\u2009126\u00a0mg/dl or A1C\u2009\u2265\u20096.5%. We found that between 2004 and 2014, total diabetes prevalence (diagnosed and undiagnosed) in NYC increased from 13.4 to 16.0% (P\u00a0=\u20090.089). In 2013-2014, racial/ethnic disparities in diabetes burden had widened; diabetes was highest among Asians (24.6%), and prevalence was significantly lower among non-Hispanic white adults (7.7%) compared to that among other racial/ethnic groups (P\u00a0<\u20090.001). Among adults with diabetes, the proportion of cases diagnosed increased from 68.3 to 77.3% (P\u00a0=\u20090.234), and diagnosed cases with very poor control (A1C >\u20099%), decreased from 26.9 to 18.0% (P\u00a0=\u20090.269), though both were non-significant. While local racial/ethnic disparities in diabetes prevalence persist, findings suggest modest improvements in diabetes diagnosis and management.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11524-018-0285-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3860129", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1356564", 
        "issn": [
          "1099-3460", 
          "1468-2869"
        ], 
        "name": "Journal of Urban Health", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "95"
      }
    ], 
    "name": "Change in Diabetes Prevalence and Control among New York City Adults: NYC Health and Nutrition Examination Surveys 2004\u20132014", 
    "pagination": "826-831", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c9a64432cd370905bfc87b6a64c3c6665d2ce0e50cb6e89153f52bc4bd2f4c4c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29987771"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9809909"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11524-018-0285-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105444292"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11524-018-0285-z", 
      "https://app.dimensions.ai/details/publication/pub.1105444292"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:20", 
    "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/v90/0000000368_0000000368/records_78965_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11524-018-0285-z"
  }
]
 

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/s11524-018-0285-z'

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/s11524-018-0285-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11524-018-0285-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11524-018-0285-z'


 

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

161 TRIPLES      21 PREDICATES      42 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11524-018-0285-z schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Nebc878ab98ca4f43a5b10f975e126818
4 schema:citation sg:pub.10.1007/s11892-017-0895-y
5 https://app.dimensions.ai/details/publication/pub.1077256193
6 https://doi.org/10.1016/j.hjdsi.2013.10.003
7 https://doi.org/10.1016/j.pmedr.2015.06.019
8 https://doi.org/10.1056/nejmsa1213829
9 https://doi.org/10.1093/ije/dyn108
10 https://doi.org/10.1111/j.1468-0009.2009.00568.x
11 https://doi.org/10.13063/2327-9214.1131
12 https://doi.org/10.2105/ajph.2011.300622
13 https://doi.org/10.2337/dc12-2258
14 https://doi.org/10.2337/dc13-s067
15 https://doi.org/10.2337/diacare.27.1.66
16 https://doi.org/10.7326/0003-4819-150-8-200904210-00005
17 schema:datePublished 2018-12
18 schema:datePublishedReg 2018-12-01
19 schema:description National examination surveys provide trend information on diabetes prevalence, diagnoses, and control. Few localities have access to such information. Using a similar design as the National Health and Nutrition Examination Survey (NHANES), two NYC Health and Nutrition Examination Surveys (NYC HANES) were conducted over a decade, recruiting adults ≥ 20 years using household probability samples (n = 1808 in 2004; n = 1246 in 2013-2014) and physical exam survey methods benchmarked against NHANES. Participants had diagnosed diabetes if told by a health provider they had diabetes, and undiagnosed diabetes if they had no diagnosis but a fasting plasma glucose ≥ 126 mg/dl or A1C ≥ 6.5%. We found that between 2004 and 2014, total diabetes prevalence (diagnosed and undiagnosed) in NYC increased from 13.4 to 16.0% (P = 0.089). In 2013-2014, racial/ethnic disparities in diabetes burden had widened; diabetes was highest among Asians (24.6%), and prevalence was significantly lower among non-Hispanic white adults (7.7%) compared to that among other racial/ethnic groups (P < 0.001). Among adults with diabetes, the proportion of cases diagnosed increased from 68.3 to 77.3% (P = 0.234), and diagnosed cases with very poor control (A1C > 9%), decreased from 26.9 to 18.0% (P = 0.269), though both were non-significant. While local racial/ethnic disparities in diabetes prevalence persist, findings suggest modest improvements in diabetes diagnosis and management.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N1e44aeb0616242159216587bf554095c
24 Nf3b48fd659544cdb904a22c55e62c10c
25 sg:journal.1356564
26 schema:name Change in Diabetes Prevalence and Control among New York City Adults: NYC Health and Nutrition Examination Surveys 2004–2014
27 schema:pagination 826-831
28 schema:productId N12097eb9e6704e1880b420e1b7b293a2
29 N3539867a6f794963b359a0928bbb8bc8
30 N5c2fa25a725f4538b1efa26d3ce7438f
31 N787cb80478ff4f7997e56c3731e7817e
32 Nd1adba3bb7e84f3cab2c0a04645a7191
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105444292
34 https://doi.org/10.1007/s11524-018-0285-z
35 schema:sdDatePublished 2019-04-11T13:20
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher Nb53aa64b48414cd4817920a6e815c9f6
38 schema:url https://link.springer.com/10.1007%2Fs11524-018-0285-z
39 sgo:license sg:explorer/license/
40 sgo:sdDataset articles
41 rdf:type schema:ScholarlyArticle
42 N0112de58b4af4896a4ec1ef0c052de57 rdf:first sg:person.011426450070.32
43 rdf:rest N08de2c2581a942558827cab008561905
44 N08de2c2581a942558827cab008561905 rdf:first sg:person.01173233623.25
45 rdf:rest Na1a1edef61014a6d9f55383a87cceafb
46 N12097eb9e6704e1880b420e1b7b293a2 schema:name dimensions_id
47 schema:value pub.1105444292
48 rdf:type schema:PropertyValue
49 N1e44aeb0616242159216587bf554095c schema:volumeNumber 95
50 rdf:type schema:PublicationVolume
51 N1e748026eae84ddc9cc627be3c51954a schema:name Division of Epidemiology, NYC Department of Health and Mental Hygiene, Long Island City, USA
52 rdf:type schema:Organization
53 N3539867a6f794963b359a0928bbb8bc8 schema:name readcube_id
54 schema:value c9a64432cd370905bfc87b6a64c3c6665d2ce0e50cb6e89153f52bc4bd2f4c4c
55 rdf:type schema:PropertyValue
56 N3e518915d977423cbed3b1f3ea4f8b6e schema:name Division of Prevention and Primary Care, NYC Department of Health and Mental Hygiene, Long Island City, USA
57 rdf:type schema:Organization
58 N5506b15ce48b4ff5ba8ff8b034d93e71 rdf:first sg:person.015202632130.07
59 rdf:rest Na0068a01754445f5b853b2b93b8d6043
60 N5c2fa25a725f4538b1efa26d3ce7438f schema:name doi
61 schema:value 10.1007/s11524-018-0285-z
62 rdf:type schema:PropertyValue
63 N77bc081eaf214830bf4ead4929c6b978 schema:name Division of Epidemiology, NYC Department of Health and Mental Hygiene, Long Island City, USA
64 rdf:type schema:Organization
65 N787cb80478ff4f7997e56c3731e7817e schema:name nlm_unique_id
66 schema:value 9809909
67 rdf:type schema:PropertyValue
68 Na0068a01754445f5b853b2b93b8d6043 rdf:first sg:person.01025307527.55
69 rdf:rest rdf:nil
70 Na1a1edef61014a6d9f55383a87cceafb rdf:first sg:person.01011655627.91
71 rdf:rest Nf5bb0e118dca427c8eb1d20ff0d874c8
72 Nb53aa64b48414cd4817920a6e815c9f6 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 Nd1adba3bb7e84f3cab2c0a04645a7191 schema:name pubmed_id
75 schema:value 29987771
76 rdf:type schema:PropertyValue
77 Nebc878ab98ca4f43a5b10f975e126818 rdf:first sg:person.01364404134.63
78 rdf:rest N0112de58b4af4896a4ec1ef0c052de57
79 Nf3b48fd659544cdb904a22c55e62c10c schema:issueNumber 6
80 rdf:type schema:PublicationIssue
81 Nf5bb0e118dca427c8eb1d20ff0d874c8 rdf:first sg:person.01174217427.52
82 rdf:rest N5506b15ce48b4ff5ba8ff8b034d93e71
83 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
84 schema:name Medical and Health Sciences
85 rdf:type schema:DefinedTerm
86 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
87 schema:name Public Health and Health Services
88 rdf:type schema:DefinedTerm
89 sg:grant.3860129 http://pending.schema.org/fundedItem sg:pub.10.1007/s11524-018-0285-z
90 rdf:type schema:MonetaryGrant
91 sg:journal.1356564 schema:issn 1099-3460
92 1468-2869
93 schema:name Journal of Urban Health
94 rdf:type schema:Periodical
95 sg:person.01011655627.91 schema:affiliation https://www.grid.ac/institutes/grid.442163.6
96 schema:familyName Rodriguez-Lopez
97 schema:givenName Jesica S.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011655627.91
99 rdf:type schema:Person
100 sg:person.01025307527.55 schema:affiliation N1e748026eae84ddc9cc627be3c51954a
101 schema:familyName Perlman
102 schema:givenName Sharon E.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025307527.55
104 rdf:type schema:Person
105 sg:person.011426450070.32 schema:affiliation https://www.grid.ac/institutes/grid.137628.9
106 schema:familyName Kanchi
107 schema:givenName Rania
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011426450070.32
109 rdf:type schema:Person
110 sg:person.01173233623.25 schema:affiliation N3e518915d977423cbed3b1f3ea4f8b6e
111 schema:familyName Chamany
112 schema:givenName Shadi
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173233623.25
114 rdf:type schema:Person
115 sg:person.01174217427.52 schema:affiliation N77bc081eaf214830bf4ead4929c6b978
116 schema:familyName Chernov
117 schema:givenName Claudia
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174217427.52
119 rdf:type schema:Person
120 sg:person.01364404134.63 schema:affiliation https://www.grid.ac/institutes/grid.137628.9
121 schema:familyName Thorpe
122 schema:givenName Lorna E.
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364404134.63
124 rdf:type schema:Person
125 sg:person.015202632130.07 schema:affiliation https://www.grid.ac/institutes/grid.137628.9
126 schema:familyName Freeman
127 schema:givenName Amy
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015202632130.07
129 rdf:type schema:Person
130 sg:pub.10.1007/s11892-017-0895-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1090931119
131 https://doi.org/10.1007/s11892-017-0895-y
132 rdf:type schema:CreativeWork
133 https://app.dimensions.ai/details/publication/pub.1077256193 schema:CreativeWork
134 https://doi.org/10.1016/j.hjdsi.2013.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007177313
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.pmedr.2015.06.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037304573
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1056/nejmsa1213829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007110759
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1093/ije/dyn108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013550028
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1111/j.1468-0009.2009.00568.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020764568
143 rdf:type schema:CreativeWork
144 https://doi.org/10.13063/2327-9214.1131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036437967
145 rdf:type schema:CreativeWork
146 https://doi.org/10.2105/ajph.2011.300622 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068845762
147 rdf:type schema:CreativeWork
148 https://doi.org/10.2337/dc12-2258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039161803
149 rdf:type schema:CreativeWork
150 https://doi.org/10.2337/dc13-s067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020739314
151 rdf:type schema:CreativeWork
152 https://doi.org/10.2337/diacare.27.1.66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013519860
153 rdf:type schema:CreativeWork
154 https://doi.org/10.7326/0003-4819-150-8-200904210-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073710735
155 rdf:type schema:CreativeWork
156 https://www.grid.ac/institutes/grid.137628.9 schema:alternateName New York University
157 schema:name Department of Population Health, NYU School of Medicine, 560 1st Ave, 10016, New York, NY, USA
158 rdf:type schema:Organization
159 https://www.grid.ac/institutes/grid.442163.6 schema:alternateName University of La Salle
160 schema:name Universidad De La Salle, Bogotá, Colombia
161 rdf:type schema:Organization
 




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


...