Where is the beef? Waist circumference is more highly correlated with BMI and total body fat than with abdominal visceral ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-06

AUTHORS

P T Katzmarzyk, C Bouchard

ABSTRACT

Medically accepted ‘facts’ sometimes become outmoded when additional research shows them to be incorrect. This Commentary evaluates the evidence for the measurement of waist circumference (WC) in children and adolescents as a good surrogate for the measurement of abdominal visceral fat (VF) and for assessing the risk for ‘metabolic syndrome’. WC correlates well with total body fat, but does not correlate any better for abdominal VF than does BMI. The use of WC as a marker for VF and for ‘metabolic syndrome’ in children no longer seems valid even in the field or for epidemiological studies. More... »

PAGES

753

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ijo.2013.170

DOI

http://dx.doi.org/10.1038/ijo.2013.170

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035645186

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24018751


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": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Composition", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child, Preschool", 
        "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": "Intra-Abdominal Fat", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pediatric Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Waist Circumference", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Pennington Biomedical Research Center", 
          "id": "https://www.grid.ac/institutes/grid.250514.7", 
          "name": [
            "Pennington Biomedical Research Center, Baton Rouge, LA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Katzmarzyk", 
        "givenName": "P T", 
        "id": "sg:person.010702120177.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010702120177.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pennington Biomedical Research Center", 
          "id": "https://www.grid.ac/institutes/grid.250514.7", 
          "name": [
            "Pennington Biomedical Research Center, Baton Rouge, LA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bouchard", 
        "givenName": "C", 
        "id": "sg:person.01246353000.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246353000.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jpeds.2007.07.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009604987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.109.192644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011029623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0803653", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011276820", 
          "https://doi.org/10.1038/sj.ijo.0803653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/oby.2011.367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016355724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mayocp.2011.12.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018107241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mayocp.2011.12.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018107241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0800929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029595633", 
          "https://doi.org/10.1038/sj.ijo.0800929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0800929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029595633", 
          "https://doi.org/10.1038/sj.ijo.0800929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/oby.2011.393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038242975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-9149(94)90676-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038999118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/oby.20210", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053421502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1464-5491.1999.00059.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056741551"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-06", 
    "datePublishedReg": "2014-06-01", 
    "description": "Medically accepted \u2018facts\u2019 sometimes become outmoded when additional research shows them to be incorrect. This Commentary evaluates the evidence for the measurement of waist circumference (WC) in children and adolescents as a good surrogate for the measurement of abdominal visceral fat (VF) and for assessing the risk for \u2018metabolic syndrome\u2019. WC correlates well with total body fat, but does not correlate any better for abdominal VF than does BMI. The use of WC as a marker for VF and for \u2018metabolic syndrome\u2019 in children no longer seems valid even in the field or for epidemiological studies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/ijo.2013.170", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2439036", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2668602", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1035838", 
        "issn": [
          "0307-0565", 
          "1476-5497"
        ], 
        "name": "International Journal of Obesity", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "Where is the beef? Waist circumference is more highly correlated with BMI and total body fat than with abdominal visceral fat in children", 
    "pagination": "753", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a9cd1a62b56cbecbe31a26f7bcd1a7e376680d409eda38c2d5d8ad55648b8c8c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24018751"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101256108"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/ijo.2013.170"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1035645186"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/ijo.2013.170", 
      "https://app.dimensions.ai/details/publication/pub.1035645186"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:16", 
    "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/v90/0000000372_0000000372/records_117087_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/ijo2013170"
  }
]
 

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.10.1038/ijo.2013.170'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/ijo.2013.170'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ijo.2013.170'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ijo.2013.170'


 

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

164 TRIPLES      21 PREDICATES      52 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/ijo.2013.170 schema:about N044a9f0e6c4b430daa670921b834869f
2 N1c63d91c77ea49b4b40c0415b2004e95
3 N1d68b98615924553a92cb1b1e1f276e4
4 N2d932a04409b4a1887ad3f6547305db6
5 N3f46f156abb44424b082a4f99005b695
6 N7614c89ee8884b0f8b450a3971953bea
7 N78d1b101846d441895646dc92af612f3
8 N7e2dae514c6649e39da6a95f84ad946a
9 N8126ed17706a434185a53512800e5be3
10 N9da9115a2e174e3f8c16d4c1cd057715
11 Nb37d174303044972942a811a75b9db0d
12 Nbf4ee9d3dee043e0946a39ea3297c48a
13 Nc61aa7637031488988554b3606dcc3cb
14 anzsrc-for:11
15 anzsrc-for:1103
16 schema:author N5ba362388ecb46098590704204931c6c
17 schema:citation sg:pub.10.1038/sj.ijo.0800929
18 sg:pub.10.1038/sj.ijo.0803653
19 https://doi.org/10.1002/oby.20210
20 https://doi.org/10.1016/0002-9149(94)90676-9
21 https://doi.org/10.1016/j.jpeds.2007.07.056
22 https://doi.org/10.1016/j.mayocp.2011.12.017
23 https://doi.org/10.1038/oby.2011.367
24 https://doi.org/10.1038/oby.2011.393
25 https://doi.org/10.1046/j.1464-5491.1999.00059.x
26 https://doi.org/10.1161/circulationaha.109.192644
27 schema:datePublished 2014-06
28 schema:datePublishedReg 2014-06-01
29 schema:description Medically accepted ‘facts’ sometimes become outmoded when additional research shows them to be incorrect. This Commentary evaluates the evidence for the measurement of waist circumference (WC) in children and adolescents as a good surrogate for the measurement of abdominal visceral fat (VF) and for assessing the risk for ‘metabolic syndrome’. WC correlates well with total body fat, but does not correlate any better for abdominal VF than does BMI. The use of WC as a marker for VF and for ‘metabolic syndrome’ in children no longer seems valid even in the field or for epidemiological studies.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf N91b4a1b5c6934f68b8d8d19b33dcaadb
34 Nf83b8d4ea9a14642bdfb732cbafbb206
35 sg:journal.1035838
36 schema:name Where is the beef? Waist circumference is more highly correlated with BMI and total body fat than with abdominal visceral fat in children
37 schema:pagination 753
38 schema:productId N26910c29a65f41659a5ea762df3445ca
39 N4e001d27177b47aa9d4be386b980db35
40 Nabc47d50a8e84e198420737fb6bf5201
41 Nd433e873b4cc4a14bd7ffaddf0f5d3e5
42 Ndf689229b1084b94bd90cdb5e7ea6f7f
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035645186
44 https://doi.org/10.1038/ijo.2013.170
45 schema:sdDatePublished 2019-04-11T14:16
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher Nbf0f7562818d46be916a1e788aeb0c1b
48 schema:url https://www.nature.com/articles/ijo2013170
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N044a9f0e6c4b430daa670921b834869f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
53 schema:name Body Mass Index
54 rdf:type schema:DefinedTerm
55 N1c63d91c77ea49b4b40c0415b2004e95 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
56 schema:name Pediatric Obesity
57 rdf:type schema:DefinedTerm
58 N1d68b98615924553a92cb1b1e1f276e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
59 schema:name Body Composition
60 rdf:type schema:DefinedTerm
61 N26910c29a65f41659a5ea762df3445ca schema:name pubmed_id
62 schema:value 24018751
63 rdf:type schema:PropertyValue
64 N2d932a04409b4a1887ad3f6547305db6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Adolescent
66 rdf:type schema:DefinedTerm
67 N3f46f156abb44424b082a4f99005b695 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Predictive Value of Tests
69 rdf:type schema:DefinedTerm
70 N4e001d27177b47aa9d4be386b980db35 schema:name readcube_id
71 schema:value a9cd1a62b56cbecbe31a26f7bcd1a7e376680d409eda38c2d5d8ad55648b8c8c
72 rdf:type schema:PropertyValue
73 N5ba362388ecb46098590704204931c6c rdf:first sg:person.010702120177.88
74 rdf:rest Na1a2f4f92466453db66677bcb2ae777f
75 N7614c89ee8884b0f8b450a3971953bea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Male
77 rdf:type schema:DefinedTerm
78 N78d1b101846d441895646dc92af612f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Child, Preschool
80 rdf:type schema:DefinedTerm
81 N7e2dae514c6649e39da6a95f84ad946a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Female
83 rdf:type schema:DefinedTerm
84 N8126ed17706a434185a53512800e5be3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Humans
86 rdf:type schema:DefinedTerm
87 N91b4a1b5c6934f68b8d8d19b33dcaadb schema:issueNumber 6
88 rdf:type schema:PublicationIssue
89 N9da9115a2e174e3f8c16d4c1cd057715 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Waist Circumference
91 rdf:type schema:DefinedTerm
92 Na1a2f4f92466453db66677bcb2ae777f rdf:first sg:person.01246353000.05
93 rdf:rest rdf:nil
94 Nabc47d50a8e84e198420737fb6bf5201 schema:name dimensions_id
95 schema:value pub.1035645186
96 rdf:type schema:PropertyValue
97 Nb37d174303044972942a811a75b9db0d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Absorptiometry, Photon
99 rdf:type schema:DefinedTerm
100 Nbf0f7562818d46be916a1e788aeb0c1b schema:name Springer Nature - SN SciGraph project
101 rdf:type schema:Organization
102 Nbf4ee9d3dee043e0946a39ea3297c48a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Intra-Abdominal Fat
104 rdf:type schema:DefinedTerm
105 Nc61aa7637031488988554b3606dcc3cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Child
107 rdf:type schema:DefinedTerm
108 Nd433e873b4cc4a14bd7ffaddf0f5d3e5 schema:name nlm_unique_id
109 schema:value 101256108
110 rdf:type schema:PropertyValue
111 Ndf689229b1084b94bd90cdb5e7ea6f7f schema:name doi
112 schema:value 10.1038/ijo.2013.170
113 rdf:type schema:PropertyValue
114 Nf83b8d4ea9a14642bdfb732cbafbb206 schema:volumeNumber 38
115 rdf:type schema:PublicationVolume
116 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
117 schema:name Medical and Health Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
120 schema:name Clinical Sciences
121 rdf:type schema:DefinedTerm
122 sg:grant.2439036 http://pending.schema.org/fundedItem sg:pub.10.1038/ijo.2013.170
123 rdf:type schema:MonetaryGrant
124 sg:grant.2668602 http://pending.schema.org/fundedItem sg:pub.10.1038/ijo.2013.170
125 rdf:type schema:MonetaryGrant
126 sg:journal.1035838 schema:issn 0307-0565
127 1476-5497
128 schema:name International Journal of Obesity
129 rdf:type schema:Periodical
130 sg:person.010702120177.88 schema:affiliation https://www.grid.ac/institutes/grid.250514.7
131 schema:familyName Katzmarzyk
132 schema:givenName P T
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010702120177.88
134 rdf:type schema:Person
135 sg:person.01246353000.05 schema:affiliation https://www.grid.ac/institutes/grid.250514.7
136 schema:familyName Bouchard
137 schema:givenName C
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246353000.05
139 rdf:type schema:Person
140 sg:pub.10.1038/sj.ijo.0800929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029595633
141 https://doi.org/10.1038/sj.ijo.0800929
142 rdf:type schema:CreativeWork
143 sg:pub.10.1038/sj.ijo.0803653 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011276820
144 https://doi.org/10.1038/sj.ijo.0803653
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1002/oby.20210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053421502
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/0002-9149(94)90676-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038999118
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.jpeds.2007.07.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009604987
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.mayocp.2011.12.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018107241
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1038/oby.2011.367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016355724
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1038/oby.2011.393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038242975
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1046/j.1464-5491.1999.00059.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1056741551
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1161/circulationaha.109.192644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011029623
161 rdf:type schema:CreativeWork
162 https://www.grid.ac/institutes/grid.250514.7 schema:alternateName Pennington Biomedical Research Center
163 schema:name Pennington Biomedical Research Center, Baton Rouge, LA, USA
164 rdf:type schema:Organization
 




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


...