Is there an association between skeletal muscle mass and bone mineral density among African-American, Asian-American, and European-American women? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2003-10

AUTHORS

A. J. Sun, S. Heshka, S. B. Heymsfield, J. Wang, R. N. Pierson, D. Gallagher

ABSTRACT

Skeletal muscle strength is a factor in the growth and maintenance of bone density and both skeletal muscle mass and bone mineral density are related to bone fracture risk. We studied the relationship between total body bone mineral density (TBBMD) and total appendicular skeletal muscle mass (TASM) estimated by dual-energy X-ray absorptiometry (DEXA) in African-American (AA), Asian-American (AsA), and European-American (EA) premenopausal (PRM) and postmenopausal (POM) women. The age- and weight-adjusted TBBMD-TASM association was positive in all PRM race groups and in POM EA, but was negative in POM AA and POM AsA. Body weight and age were positively and negatively associated with TBBMD, respectively, and the relationship was stronger in POM. In all race groups the variability in TBBMD was significantly greater in POM women. More... »

PAGES

s309-s313

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00592-003-0095-x

DOI

http://dx.doi.org/10.1007/s00592-003-0095-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047903615

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/14618502


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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": "Absorptiometry, Photon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "African Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Density", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Continental Population Groups", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "European Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Muscle, Skeletal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Postmenopause", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Premenopause", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United States", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "Obesity Research Center, St. Luke\u2019s-Roosevelt Hospital Institute of Human\nNutrition, College of Physicians and Surgeons, Columbia\nUniversity, New York, USA", 
            "Department of Obstetrics and\nGynecology, Peking Union Medical College Hospital, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sun", 
        "givenName": "A. J.", 
        "id": "sg:person.0640603774.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640603774.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Columbia University", 
          "id": "https://www.grid.ac/institutes/grid.21729.3f", 
          "name": [
            "Obesity Research Center, St. Luke\u2019s-Roosevelt Hospital Institute of Human\nNutrition, College of Physicians and Surgeons, Columbia\nUniversity, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heshka", 
        "givenName": "S.", 
        "id": "sg:person.015057434107.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015057434107.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Columbia University", 
          "id": "https://www.grid.ac/institutes/grid.21729.3f", 
          "name": [
            "Obesity Research Center, St. Luke\u2019s-Roosevelt Hospital Institute of Human\nNutrition, College of Physicians and Surgeons, Columbia\nUniversity, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heymsfield", 
        "givenName": "S. B.", 
        "id": "sg:person.010327370502.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010327370502.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Columbia University", 
          "id": "https://www.grid.ac/institutes/grid.21729.3f", 
          "name": [
            "Obesity Research Center, St. Luke\u2019s-Roosevelt Hospital Institute of Human\nNutrition, College of Physicians and Surgeons, Columbia\nUniversity, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "J.", 
        "id": "sg:person.011262141174.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011262141174.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Columbia University", 
          "id": "https://www.grid.ac/institutes/grid.21729.3f", 
          "name": [
            "Obesity Research Center, St. Luke\u2019s-Roosevelt Hospital Institute of Human\nNutrition, College of Physicians and Surgeons, Columbia\nUniversity, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pierson", 
        "givenName": "R. N.", 
        "id": "sg:person.01010223470.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010223470.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Columbia University", 
          "id": "https://www.grid.ac/institutes/grid.21729.3f", 
          "name": [
            "Obesity Research Center, St. Luke\u2019s-Roosevelt Hospital Institute of Human\nNutrition, College of Physicians and Surgeons, Columbia\nUniversity, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gallagher", 
        "givenName": "D.", 
        "id": "sg:person.01365163750.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365163750.20"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1590/s1516-31801997000600005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015086215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.1997.12.1.144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021567471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650080507", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029759107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650080507", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029759107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0801620", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033348686", 
          "https://doi.org/10.1038/sj.ijo.0801620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0801620", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033348686", 
          "https://doi.org/10.1038/sj.ijo.0801620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.2001.16.11.2142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033855856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650100517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048121767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650100517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048121767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650110618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049351768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650110618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049351768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s007740170032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053541382", 
          "https://doi.org/10.1007/s007740170032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/50a.special_issue.23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059622914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem.82.2.3732", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064320828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem.84.12.6182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064322339"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2003-10", 
    "datePublishedReg": "2003-10-01", 
    "description": "Skeletal muscle strength is a factor in the growth and maintenance of bone density and both skeletal muscle mass and bone mineral density are related to bone fracture risk. We studied the relationship between total body bone mineral density (TBBMD) and total appendicular skeletal muscle mass (TASM) estimated by dual-energy X-ray absorptiometry (DEXA) in African-American (AA), Asian-American (AsA), and European-American (EA) premenopausal (PRM) and postmenopausal (POM) women. The age- and weight-adjusted TBBMD-TASM association was positive in all PRM race groups and in POM EA, but was negative in POM AA and POM AsA. Body weight and age were positively and negatively associated with TBBMD, respectively, and the relationship was stronger in POM. In all race groups the variability in TBBMD was significantly greater in POM women.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00592-003-0095-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2624763", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2436108", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1008525", 
        "issn": [
          "0940-5429", 
          "1432-5233"
        ], 
        "name": "Acta Diabetologica", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "Suppl 1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "40"
      }
    ], 
    "name": "Is there an association between skeletal muscle mass and bone mineral density among African-American, Asian-American, and European-American women?", 
    "pagination": "s309-s313", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e4337a93897f8520a5b1a084aae197778e9d0df714e3b06f3c242de69dd10686"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "14618502"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9200299"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00592-003-0095-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1047903615"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00592-003-0095-x", 
      "https://app.dimensions.ai/details/publication/pub.1047903615"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:58", 
    "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/v90/0000000001_0000000264/records_8681_00000516.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00592-003-0095-x"
  }
]
 

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/s00592-003-0095-x'

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/s00592-003-0095-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00592-003-0095-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00592-003-0095-x'


 

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

207 TRIPLES      21 PREDICATES      55 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00592-003-0095-x schema:about N0dc2c4ee6bbe4f3ca323b2982b761b44
2 N16f30e5904c445b4ac8e2efb5451db75
3 N2c63bf60d8984ce5b7ab1be70d32a3db
4 N30af25a23cf84f69aa89d8aa0afef4f2
5 N47b743b39335421898672487bff9efd9
6 N4f082a8b37b8477ca801c5af8d84ea91
7 N5b1068aca7444ec29b32d8165812143d
8 N7169a2677458469d80cabd3b217a2695
9 N7b1caeae032248d08de24d6a10a8f3fa
10 N8128396d45374f87afb9158afe8a2185
11 N84836a5d609f466d91e583f2aa1f989b
12 Nb3c5f5a5095c4591abef70dff8f9a5a7
13 Nb5d16969448044509e7c659cd7c5f0f7
14 Nc8c9a62790324499971a0381ab0f9e1e
15 Nffca6e00049d484f8fe78a565c7352ad
16 anzsrc-for:11
17 anzsrc-for:1103
18 schema:author N9c775cd4279848e6b1b68689b768eaca
19 schema:citation sg:pub.10.1007/s007740170032
20 sg:pub.10.1038/sj.ijo.0801620
21 https://doi.org/10.1002/jbmr.5650080507
22 https://doi.org/10.1002/jbmr.5650100517
23 https://doi.org/10.1002/jbmr.5650110618
24 https://doi.org/10.1093/gerona/50a.special_issue.23
25 https://doi.org/10.1210/jcem.82.2.3732
26 https://doi.org/10.1210/jcem.84.12.6182
27 https://doi.org/10.1359/jbmr.1997.12.1.144
28 https://doi.org/10.1359/jbmr.2001.16.11.2142
29 https://doi.org/10.1590/s1516-31801997000600005
30 schema:datePublished 2003-10
31 schema:datePublishedReg 2003-10-01
32 schema:description Skeletal muscle strength is a factor in the growth and maintenance of bone density and both skeletal muscle mass and bone mineral density are related to bone fracture risk. We studied the relationship between total body bone mineral density (TBBMD) and total appendicular skeletal muscle mass (TASM) estimated by dual-energy X-ray absorptiometry (DEXA) in African-American (AA), Asian-American (AsA), and European-American (EA) premenopausal (PRM) and postmenopausal (POM) women. The age- and weight-adjusted TBBMD-TASM association was positive in all PRM race groups and in POM EA, but was negative in POM AA and POM AsA. Body weight and age were positively and negatively associated with TBBMD, respectively, and the relationship was stronger in POM. In all race groups the variability in TBBMD was significantly greater in POM women.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf N08c9797a04f6481b8121bb5b5a916d59
37 N3b5a8a14c85947028fba09d11e6c6962
38 sg:journal.1008525
39 schema:name Is there an association between skeletal muscle mass and bone mineral density among African-American, Asian-American, and European-American women?
40 schema:pagination s309-s313
41 schema:productId N5eaab0017da346f392e8aeb56e14ba1f
42 N8b377a0507cf400e9092475411c6e9c1
43 Nac1ef3372769479ea4d50f7cb473a537
44 Nbfbe94c89b084672a7ad338919cf83d9
45 Ndbf8719c11bf44f8bc44bea226c9787f
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047903615
47 https://doi.org/10.1007/s00592-003-0095-x
48 schema:sdDatePublished 2019-04-10T19:58
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N72afeb4ad20d41af9e62b3e5fb574e3d
51 schema:url http://link.springer.com/10.1007%2Fs00592-003-0095-x
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N07242bd9f5c248c0ac7d2de2f2f81b21 rdf:first sg:person.01010223470.37
56 rdf:rest Nb7a69b92090a4d6a894451939f722c7a
57 N08c9797a04f6481b8121bb5b5a916d59 schema:issueNumber Suppl 1
58 rdf:type schema:PublicationIssue
59 N0dc2c4ee6bbe4f3ca323b2982b761b44 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
60 schema:name Premenopause
61 rdf:type schema:DefinedTerm
62 N16f30e5904c445b4ac8e2efb5451db75 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
63 schema:name Bone Density
64 rdf:type schema:DefinedTerm
65 N2a78cfb159734cbd802f23875cc6d911 rdf:first sg:person.011262141174.28
66 rdf:rest N07242bd9f5c248c0ac7d2de2f2f81b21
67 N2c63bf60d8984ce5b7ab1be70d32a3db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Muscle, Skeletal
69 rdf:type schema:DefinedTerm
70 N30af25a23cf84f69aa89d8aa0afef4f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Middle Aged
72 rdf:type schema:DefinedTerm
73 N32957915b81140739dc216aa833c7556 rdf:first sg:person.010327370502.49
74 rdf:rest N2a78cfb159734cbd802f23875cc6d911
75 N3b5a8a14c85947028fba09d11e6c6962 schema:volumeNumber 40
76 rdf:type schema:PublicationVolume
77 N47b743b39335421898672487bff9efd9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name United States
79 rdf:type schema:DefinedTerm
80 N4f082a8b37b8477ca801c5af8d84ea91 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name African Continental Ancestry Group
82 rdf:type schema:DefinedTerm
83 N5b1068aca7444ec29b32d8165812143d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Female
85 rdf:type schema:DefinedTerm
86 N5bac1ead2c2846f1873c4b7a2d4ff7e9 rdf:first sg:person.015057434107.49
87 rdf:rest N32957915b81140739dc216aa833c7556
88 N5eaab0017da346f392e8aeb56e14ba1f schema:name doi
89 schema:value 10.1007/s00592-003-0095-x
90 rdf:type schema:PropertyValue
91 N7169a2677458469d80cabd3b217a2695 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Male
93 rdf:type schema:DefinedTerm
94 N72afeb4ad20d41af9e62b3e5fb574e3d schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 N7b1caeae032248d08de24d6a10a8f3fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Postmenopause
98 rdf:type schema:DefinedTerm
99 N8128396d45374f87afb9158afe8a2185 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name European Continental Ancestry Group
101 rdf:type schema:DefinedTerm
102 N84836a5d609f466d91e583f2aa1f989b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Absorptiometry, Photon
104 rdf:type schema:DefinedTerm
105 N8b377a0507cf400e9092475411c6e9c1 schema:name nlm_unique_id
106 schema:value 9200299
107 rdf:type schema:PropertyValue
108 N9c775cd4279848e6b1b68689b768eaca rdf:first sg:person.0640603774.24
109 rdf:rest N5bac1ead2c2846f1873c4b7a2d4ff7e9
110 Nac1ef3372769479ea4d50f7cb473a537 schema:name readcube_id
111 schema:value e4337a93897f8520a5b1a084aae197778e9d0df714e3b06f3c242de69dd10686
112 rdf:type schema:PropertyValue
113 Nb3c5f5a5095c4591abef70dff8f9a5a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Body Mass Index
115 rdf:type schema:DefinedTerm
116 Nb5d16969448044509e7c659cd7c5f0f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Asian Continental Ancestry Group
118 rdf:type schema:DefinedTerm
119 Nb7a69b92090a4d6a894451939f722c7a rdf:first sg:person.01365163750.20
120 rdf:rest rdf:nil
121 Nbfbe94c89b084672a7ad338919cf83d9 schema:name dimensions_id
122 schema:value pub.1047903615
123 rdf:type schema:PropertyValue
124 Nc8c9a62790324499971a0381ab0f9e1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Humans
126 rdf:type schema:DefinedTerm
127 Ndbf8719c11bf44f8bc44bea226c9787f schema:name pubmed_id
128 schema:value 14618502
129 rdf:type schema:PropertyValue
130 Nffca6e00049d484f8fe78a565c7352ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Continental Population Groups
132 rdf:type schema:DefinedTerm
133 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
134 schema:name Medical and Health Sciences
135 rdf:type schema:DefinedTerm
136 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
137 schema:name Clinical Sciences
138 rdf:type schema:DefinedTerm
139 sg:grant.2436108 http://pending.schema.org/fundedItem sg:pub.10.1007/s00592-003-0095-x
140 rdf:type schema:MonetaryGrant
141 sg:grant.2624763 http://pending.schema.org/fundedItem sg:pub.10.1007/s00592-003-0095-x
142 rdf:type schema:MonetaryGrant
143 sg:journal.1008525 schema:issn 0940-5429
144 1432-5233
145 schema:name Acta Diabetologica
146 rdf:type schema:Periodical
147 sg:person.01010223470.37 schema:affiliation https://www.grid.ac/institutes/grid.21729.3f
148 schema:familyName Pierson
149 schema:givenName R. N.
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010223470.37
151 rdf:type schema:Person
152 sg:person.010327370502.49 schema:affiliation https://www.grid.ac/institutes/grid.21729.3f
153 schema:familyName Heymsfield
154 schema:givenName S. B.
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010327370502.49
156 rdf:type schema:Person
157 sg:person.011262141174.28 schema:affiliation https://www.grid.ac/institutes/grid.21729.3f
158 schema:familyName Wang
159 schema:givenName J.
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011262141174.28
161 rdf:type schema:Person
162 sg:person.01365163750.20 schema:affiliation https://www.grid.ac/institutes/grid.21729.3f
163 schema:familyName Gallagher
164 schema:givenName D.
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365163750.20
166 rdf:type schema:Person
167 sg:person.015057434107.49 schema:affiliation https://www.grid.ac/institutes/grid.21729.3f
168 schema:familyName Heshka
169 schema:givenName S.
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015057434107.49
171 rdf:type schema:Person
172 sg:person.0640603774.24 schema:affiliation https://www.grid.ac/institutes/grid.413106.1
173 schema:familyName Sun
174 schema:givenName A. J.
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640603774.24
176 rdf:type schema:Person
177 sg:pub.10.1007/s007740170032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053541382
178 https://doi.org/10.1007/s007740170032
179 rdf:type schema:CreativeWork
180 sg:pub.10.1038/sj.ijo.0801620 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033348686
181 https://doi.org/10.1038/sj.ijo.0801620
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1002/jbmr.5650080507 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029759107
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1002/jbmr.5650100517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048121767
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1002/jbmr.5650110618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049351768
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1093/gerona/50a.special_issue.23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059622914
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1210/jcem.82.2.3732 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064320828
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1210/jcem.84.12.6182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064322339
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1359/jbmr.1997.12.1.144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021567471
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1359/jbmr.2001.16.11.2142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033855856
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1590/s1516-31801997000600005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015086215
200 rdf:type schema:CreativeWork
201 https://www.grid.ac/institutes/grid.21729.3f schema:alternateName Columbia University
202 schema:name Obesity Research Center, St. Luke’s-Roosevelt Hospital Institute of Human Nutrition, College of Physicians and Surgeons, Columbia University, New York, USA
203 rdf:type schema:Organization
204 https://www.grid.ac/institutes/grid.413106.1 schema:alternateName Peking Union Medical College Hospital
205 schema:name Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
206 Obesity Research Center, St. Luke’s-Roosevelt Hospital Institute of Human Nutrition, College of Physicians and Surgeons, Columbia University, New York, USA
207 rdf:type schema:Organization
 




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


...