Abdominal fat and birth size in healthy prepubertal children View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-11-30

AUTHORS

SP Garnett, CT Cowell, LA Baur, RA Fay, J Lee, J Coakley, JK Peat, TJ Boulton

ABSTRACT

BACKGROUND: Studies examining the foetal origins hypothesis suggest that small birth size may be a marker of foetal adaptations that programme future propensity to adult disease. We explore the hypothesis that birth size may relate to fat distribution in childhood and that fat distribution may be a link between birth size and adult disease.OBJECTIVE: To investigate the relationship between birth size and abdominal fat, blood pressure, lipids, insulin and insulin:glucose ratio in prepubertal children.DESIGN: Cross-sectional study, based on a birth cohort of consecutive full-term births.SUBJECTS: Two hundred and fifty-five (137 females) healthy, 7- and 8-y-old children.MEASUREMENTS: Body composition and abdominal fat was measured by dual energy X-ray absorptiometry. Lipid, glucose and insulin profiles were measured after an overnight fast and an automated BP monitor was used for blood pressure measurements.RESULTS: There was a negative association between abdominal fat and birth weight s.d. score across a range of normal birth weights (β=−0.18; 95% CI=−0.31 to −0.04, P=0.009) and a positive association with weight s.d. score at 7/8 y (β=0.35; 95% CI=0.24 to 0.46, P<0.001). Children who were born with the lowest weight s.d. score and had the greatest weight s.d. score at 7/8 y had significantly more (P<0.001) abdominal fat, as a percentage of total fat (6.53±1.3%) than those who had the highest birth weight s.d. score and the lowest weight s.d. score at 7/8 y (4.14±0.5%). Similar results were seen if head circumference, but not ponderal index, was used as an indicator of birth size. Increased abdominal fat was associated with higher total cholesterol:HDL cholesterol, higher triglyceride concentration and increased diastolic blood pressure.CONCLUSIONS: Birth weight independently predicted abdominal fat. Children with the highest amount of abdominal fat were those who tended to be born lighter and gained weight centiles. Increased abdominal fat was associated with precursor risk factors for ischaemic heart disease. More... »

PAGES

1667-1673

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.ijo.0801821

DOI

http://dx.doi.org/10.1038/sj.ijo.0801821

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008717230

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11753589


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Abdomen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Absorptiometry, Photon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adipose Tissue", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Birth Weight", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Glucose", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Pressure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Composition", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cholesterol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Studies", 
        "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": "Insulin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Triglycerides", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "The Robert Vines Growth Centre, The Children's Hospital at Westmead, Sydney, New South Wales, Australia", 
          "id": "http://www.grid.ac/institutes/grid.413973.b", 
          "name": [
            "The Robert Vines Growth Centre, The Children's Hospital at Westmead, Sydney, New South Wales, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garnett", 
        "givenName": "SP", 
        "id": "sg:person.01167574442.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167574442.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Robert Vines Growth Centre, The Children's Hospital at Westmead, Sydney, New South Wales, Australia", 
          "id": "http://www.grid.ac/institutes/grid.413973.b", 
          "name": [
            "The Robert Vines Growth Centre, The Children's Hospital at Westmead, Sydney, New South Wales, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cowell", 
        "givenName": "CT", 
        "id": "sg:person.012531005704.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012531005704.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sydney Department of Paediatrics and Child Health, The Children's Hospital at Westmead, Sydney, New South Wales, Australia", 
          "id": "http://www.grid.ac/institutes/grid.413973.b", 
          "name": [
            "University of Sydney Department of Paediatrics and Child Health, The Children's Hospital at Westmead, Sydney, New South Wales, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baur", 
        "givenName": "LA", 
        "id": "sg:person.01161117017.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161117017.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Women's and Children's Health, Nepean Hospital, Sydney, New South Wales, Australia", 
          "id": "http://www.grid.ac/institutes/grid.413243.3", 
          "name": [
            "Division of Women's and Children's Health, Nepean Hospital, Sydney, New South Wales, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fay", 
        "givenName": "RA", 
        "id": "sg:person.0603760660.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603760660.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Robert Vines Growth Centre, The Children's Hospital at Westmead, Sydney, New South Wales, Australia", 
          "id": "http://www.grid.ac/institutes/grid.413973.b", 
          "name": [
            "The Robert Vines Growth Centre, The Children's Hospital at Westmead, Sydney, New South Wales, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "J", 
        "id": "sg:person.0771313643.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771313643.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Biochemistry, The Children's Hospital at Westmead, Sydney, Australia", 
          "id": "http://www.grid.ac/institutes/grid.413973.b", 
          "name": [
            "Department of Biochemistry, The Children's Hospital at Westmead, Sydney, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Coakley", 
        "givenName": "J", 
        "id": "sg:person.01023725064.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023725064.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sydney Department of Paediatrics and Child Health, The Children's Hospital at Westmead, Sydney, New South Wales, Australia", 
          "id": "http://www.grid.ac/institutes/grid.413973.b", 
          "name": [
            "University of Sydney Department of Paediatrics and Child Health, The Children's Hospital at Westmead, Sydney, New South Wales, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Peat", 
        "givenName": "JK", 
        "id": "sg:person.01241172764.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01241172764.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Women's and Children's Health, Nepean Hospital, Sydney, New South Wales, Australia", 
          "id": "http://www.grid.ac/institutes/grid.413243.3", 
          "name": [
            "Division of Women's and Children's Health, Nepean Hospital, Sydney, New South Wales, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boulton", 
        "givenName": "TJ", 
        "id": "sg:person.01274522246.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274522246.33"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s001250051046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020543038", 
          "https://doi.org/10.1007/s001250051046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00403383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012530569", 
          "https://doi.org/10.1007/bf00403383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0800904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027604079", 
          "https://doi.org/10.1038/sj.ijo.0800904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1203/00006450-199511000-00017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021602127", 
          "https://doi.org/10.1203/00006450-199511000-00017"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2001-11-30", 
    "datePublishedReg": "2001-11-30", 
    "description": "BACKGROUND: Studies examining the foetal origins hypothesis suggest that small birth size may be a marker of foetal adaptations that programme future propensity to adult disease. We explore the hypothesis that birth size may relate to fat distribution in childhood and that fat distribution may be a link between birth size and adult disease.OBJECTIVE: To investigate the relationship between birth size and abdominal fat, blood pressure, lipids, insulin and insulin:glucose ratio in prepubertal children.DESIGN: Cross-sectional study, based on a birth cohort of consecutive full-term births.SUBJECTS: Two hundred and fifty-five (137 females) healthy, 7- and 8-y-old children.MEASUREMENTS: Body composition and abdominal fat was measured by dual energy X-ray absorptiometry. Lipid, glucose and insulin profiles were measured after an overnight fast and an automated BP monitor was used for blood pressure measurements.RESULTS: There was a negative association between abdominal fat and birth weight s.d. score across a range of normal birth weights (\u03b2=\u22120.18; 95% CI=\u22120.31 to \u22120.04, P=0.009) and a positive association with weight s.d. score at 7/8\u2005y (\u03b2=0.35; 95% CI=0.24 to 0.46, P<0.001). Children who were born with the lowest weight s.d. score and had the greatest weight s.d. score at 7/8\u2005y had significantly more (P<0.001) abdominal fat, as a percentage of total fat (6.53\u00b11.3%) than those who had the highest birth weight s.d. score and the lowest weight s.d. score at 7/8\u2005y (4.14\u00b10.5%). Similar results were seen if head circumference, but not ponderal index, was used as an indicator of birth size. Increased abdominal fat was associated with higher total cholesterol:HDL cholesterol, higher triglyceride concentration and increased diastolic blood pressure.CONCLUSIONS: Birth weight independently predicted abdominal fat. Children with the highest amount of abdominal fat were those who tended to be born lighter and gained weight centiles. Increased abdominal fat was associated with precursor risk factors for ischaemic heart disease.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/sj.ijo.0801821", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1035838", 
        "issn": [
          "0307-0565", 
          "1476-5497"
        ], 
        "name": "International Journal of Obesity", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "keywords": [
      "birth size", 
      "abdominal fat", 
      "blood pressure", 
      "birth weight", 
      "fat distribution", 
      "prepubertal children", 
      "dual-energy X-ray absorptiometry", 
      "energy X-ray absorptiometry", 
      "normal birth weight", 
      "higher total cholesterol", 
      "diastolic blood pressure", 
      "full-term birth", 
      "ischemic heart disease", 
      "blood pressure measurements", 
      "healthy prepubertal children", 
      "small birth size", 
      "cross-sectional study", 
      "higher triglyceride concentrations", 
      "X-ray absorptiometry", 
      "weight centile", 
      "total cholesterol", 
      "HDL cholesterol", 
      "overnight fast", 
      "ponderal index", 
      "risk factors", 
      "heart disease", 
      "head circumference", 
      "triglyceride concentrations", 
      "adult disease", 
      "insulin profiles", 
      "BP monitor", 
      "foetal origins hypothesis", 
      "body composition", 
      "birth cohort", 
      "precursor risk factors", 
      "total fat", 
      "older children", 
      "disease", 
      "children", 
      "positive association", 
      "fat", 
      "insulin", 
      "cholesterol", 
      "negative association", 
      "pressure measurements", 
      "association", 
      "similar results", 
      "origin hypothesis", 
      "lipids", 
      "absorptiometry", 
      "centile", 
      "cohort", 
      "circumference", 
      "birth", 
      "childhood", 
      "weight", 
      "markers", 
      "study", 
      "glucose", 
      "hypothesis", 
      "pressure", 
      "high amounts", 
      "percentage", 
      "s.", 
      "index", 
      "factors", 
      "fast", 
      "profile", 
      "concentration", 
      "propensity", 
      "monitor", 
      "future propensity", 
      "size", 
      "indicators", 
      "relationship", 
      "ratio", 
      "adaptation", 
      "results", 
      "amount", 
      "link", 
      "distribution", 
      "measurements", 
      "range", 
      "composition"
    ], 
    "name": "Abdominal fat and birth size in healthy prepubertal children", 
    "pagination": "1667-1673", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1008717230"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sj.ijo.0801821"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "11753589"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sj.ijo.0801821", 
      "https://app.dimensions.ai/details/publication/pub.1008717230"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T15:48", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_318.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/sj.ijo.0801821"
  }
]
 

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/sj.ijo.0801821'

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/sj.ijo.0801821'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.ijo.0801821'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.ijo.0801821'


 

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

281 TRIPLES      21 PREDICATES      129 URIs      117 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sj.ijo.0801821 schema:about N072e59f1cf9b4526b6d7665b1d24bba3
2 N2e4899a94e37426ab6ba22c1871313ed
3 N3532eecb45944311bbef16b933485f19
4 N42fb24dbeadf4fb98fc5a4cc9ef587e9
5 N460100f7a6be4fb9a0d6798ffcfd0980
6 N4f9d257ea55d438f9b5f4bb013a859ca
7 N52b05d5ac38b4179a129ed4c662342a3
8 N6a83a24d1a1c4aecaaff596049c79e92
9 N813e3c83644943f88bdccb877ec69606
10 N8fa743c0f98a4ccd87eec8bb61119708
11 N8ff60f6431a0487abc080e4c631ff4f6
12 Na0951b35bca64cafa2e1d450a3c40bc0
13 Na5ceeb6c45114cd38c5991d56003eba2
14 Na70af330a0e04a2bb0366905302040e8
15 Ndd1eb8d97c4f45a29cd690e3c138d877
16 Nfe74629d8bc04cd1a68b653b0c1b3643
17 anzsrc-for:11
18 anzsrc-for:1102
19 schema:author N7327732935244452b26b612a5f50c497
20 schema:citation sg:pub.10.1007/bf00403383
21 sg:pub.10.1007/s001250051046
22 sg:pub.10.1038/sj.ijo.0800904
23 sg:pub.10.1203/00006450-199511000-00017
24 schema:datePublished 2001-11-30
25 schema:datePublishedReg 2001-11-30
26 schema:description BACKGROUND: Studies examining the foetal origins hypothesis suggest that small birth size may be a marker of foetal adaptations that programme future propensity to adult disease. We explore the hypothesis that birth size may relate to fat distribution in childhood and that fat distribution may be a link between birth size and adult disease.OBJECTIVE: To investigate the relationship between birth size and abdominal fat, blood pressure, lipids, insulin and insulin:glucose ratio in prepubertal children.DESIGN: Cross-sectional study, based on a birth cohort of consecutive full-term births.SUBJECTS: Two hundred and fifty-five (137 females) healthy, 7- and 8-y-old children.MEASUREMENTS: Body composition and abdominal fat was measured by dual energy X-ray absorptiometry. Lipid, glucose and insulin profiles were measured after an overnight fast and an automated BP monitor was used for blood pressure measurements.RESULTS: There was a negative association between abdominal fat and birth weight s.d. score across a range of normal birth weights (β=−0.18; 95% CI=−0.31 to −0.04, P=0.009) and a positive association with weight s.d. score at 7/8 y (β=0.35; 95% CI=0.24 to 0.46, P<0.001). Children who were born with the lowest weight s.d. score and had the greatest weight s.d. score at 7/8 y had significantly more (P<0.001) abdominal fat, as a percentage of total fat (6.53±1.3%) than those who had the highest birth weight s.d. score and the lowest weight s.d. score at 7/8 y (4.14±0.5%). Similar results were seen if head circumference, but not ponderal index, was used as an indicator of birth size. Increased abdominal fat was associated with higher total cholesterol:HDL cholesterol, higher triglyceride concentration and increased diastolic blood pressure.CONCLUSIONS: Birth weight independently predicted abdominal fat. Children with the highest amount of abdominal fat were those who tended to be born lighter and gained weight centiles. Increased abdominal fat was associated with precursor risk factors for ischaemic heart disease.
27 schema:genre article
28 schema:isAccessibleForFree false
29 schema:isPartOf N489bc5c78e594838831ae2acc66f6286
30 N5c6806bea5b548e1ace3b24bf0da0248
31 sg:journal.1035838
32 schema:keywords BP monitor
33 HDL cholesterol
34 X-ray absorptiometry
35 abdominal fat
36 absorptiometry
37 adaptation
38 adult disease
39 amount
40 association
41 birth
42 birth cohort
43 birth size
44 birth weight
45 blood pressure
46 blood pressure measurements
47 body composition
48 centile
49 childhood
50 children
51 cholesterol
52 circumference
53 cohort
54 composition
55 concentration
56 cross-sectional study
57 diastolic blood pressure
58 disease
59 distribution
60 dual-energy X-ray absorptiometry
61 energy X-ray absorptiometry
62 factors
63 fast
64 fat
65 fat distribution
66 foetal origins hypothesis
67 full-term birth
68 future propensity
69 glucose
70 head circumference
71 healthy prepubertal children
72 heart disease
73 high amounts
74 higher total cholesterol
75 higher triglyceride concentrations
76 hypothesis
77 index
78 indicators
79 insulin
80 insulin profiles
81 ischemic heart disease
82 link
83 lipids
84 markers
85 measurements
86 monitor
87 negative association
88 normal birth weight
89 older children
90 origin hypothesis
91 overnight fast
92 percentage
93 ponderal index
94 positive association
95 precursor risk factors
96 prepubertal children
97 pressure
98 pressure measurements
99 profile
100 propensity
101 range
102 ratio
103 relationship
104 results
105 risk factors
106 s.
107 similar results
108 size
109 small birth size
110 study
111 total cholesterol
112 total fat
113 triglyceride concentrations
114 weight
115 weight centile
116 schema:name Abdominal fat and birth size in healthy prepubertal children
117 schema:pagination 1667-1673
118 schema:productId Nbb9230c13aa54a02bf4bab933602ed5f
119 Neb7caa779517444b984b936d04768a7c
120 Nf309bcd468e54912beeec132fdfc849e
121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008717230
122 https://doi.org/10.1038/sj.ijo.0801821
123 schema:sdDatePublished 2022-09-02T15:48
124 schema:sdLicense https://scigraph.springernature.com/explorer/license/
125 schema:sdPublisher N9b41c79c2e1f4098b8f691d2d670c3d1
126 schema:url https://doi.org/10.1038/sj.ijo.0801821
127 sgo:license sg:explorer/license/
128 sgo:sdDataset articles
129 rdf:type schema:ScholarlyArticle
130 N072e59f1cf9b4526b6d7665b1d24bba3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Cohort Studies
132 rdf:type schema:DefinedTerm
133 N13bf0332b2d24c66a44b5e43b02e6d3a rdf:first sg:person.0771313643.52
134 rdf:rest Nc31e3b8c538b4d60a32d78116951ec7e
135 N2e4899a94e37426ab6ba22c1871313ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Cholesterol
137 rdf:type schema:DefinedTerm
138 N3532eecb45944311bbef16b933485f19 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Insulin
140 rdf:type schema:DefinedTerm
141 N3e8510672a6f481489b5af8b7e8e4001 rdf:first sg:person.01274522246.33
142 rdf:rest rdf:nil
143 N42fb24dbeadf4fb98fc5a4cc9ef587e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Abdomen
145 rdf:type schema:DefinedTerm
146 N460100f7a6be4fb9a0d6798ffcfd0980 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Blood Pressure
148 rdf:type schema:DefinedTerm
149 N489bc5c78e594838831ae2acc66f6286 schema:issueNumber 11
150 rdf:type schema:PublicationIssue
151 N4f9d257ea55d438f9b5f4bb013a859ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Adipose Tissue
153 rdf:type schema:DefinedTerm
154 N52b05d5ac38b4179a129ed4c662342a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Obesity
156 rdf:type schema:DefinedTerm
157 N5c6806bea5b548e1ace3b24bf0da0248 schema:volumeNumber 25
158 rdf:type schema:PublicationVolume
159 N6a83a24d1a1c4aecaaff596049c79e92 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Male
161 rdf:type schema:DefinedTerm
162 N7327732935244452b26b612a5f50c497 rdf:first sg:person.01167574442.15
163 rdf:rest Nc62db99c9b004258b1acd73a8d844e87
164 N813e3c83644943f88bdccb877ec69606 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Blood Glucose
166 rdf:type schema:DefinedTerm
167 N8fa743c0f98a4ccd87eec8bb61119708 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Body Composition
169 rdf:type schema:DefinedTerm
170 N8ff60f6431a0487abc080e4c631ff4f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Triglycerides
172 rdf:type schema:DefinedTerm
173 N9b41c79c2e1f4098b8f691d2d670c3d1 schema:name Springer Nature - SN SciGraph project
174 rdf:type schema:Organization
175 Na0951b35bca64cafa2e1d450a3c40bc0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Absorptiometry, Photon
177 rdf:type schema:DefinedTerm
178 Na5ceeb6c45114cd38c5991d56003eba2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Birth Weight
180 rdf:type schema:DefinedTerm
181 Na70af330a0e04a2bb0366905302040e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Child
183 rdf:type schema:DefinedTerm
184 Nb8de6c30fadc4a67b90c5610e7cc7693 rdf:first sg:person.01161117017.16
185 rdf:rest Nf415076d76a149b8bbddfa6b8e90171b
186 Nbb9230c13aa54a02bf4bab933602ed5f schema:name doi
187 schema:value 10.1038/sj.ijo.0801821
188 rdf:type schema:PropertyValue
189 Nc31e3b8c538b4d60a32d78116951ec7e rdf:first sg:person.01023725064.99
190 rdf:rest Ne5e37ef5d4c44e639d56752d50d05439
191 Nc62db99c9b004258b1acd73a8d844e87 rdf:first sg:person.012531005704.33
192 rdf:rest Nb8de6c30fadc4a67b90c5610e7cc7693
193 Ndd1eb8d97c4f45a29cd690e3c138d877 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Humans
195 rdf:type schema:DefinedTerm
196 Ne5e37ef5d4c44e639d56752d50d05439 rdf:first sg:person.01241172764.00
197 rdf:rest N3e8510672a6f481489b5af8b7e8e4001
198 Neb7caa779517444b984b936d04768a7c schema:name pubmed_id
199 schema:value 11753589
200 rdf:type schema:PropertyValue
201 Nf309bcd468e54912beeec132fdfc849e schema:name dimensions_id
202 schema:value pub.1008717230
203 rdf:type schema:PropertyValue
204 Nf415076d76a149b8bbddfa6b8e90171b rdf:first sg:person.0603760660.51
205 rdf:rest N13bf0332b2d24c66a44b5e43b02e6d3a
206 Nfe74629d8bc04cd1a68b653b0c1b3643 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
207 schema:name Female
208 rdf:type schema:DefinedTerm
209 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
210 schema:name Medical and Health Sciences
211 rdf:type schema:DefinedTerm
212 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
213 schema:name Cardiorespiratory Medicine and Haematology
214 rdf:type schema:DefinedTerm
215 sg:journal.1035838 schema:issn 0307-0565
216 1476-5497
217 schema:name International Journal of Obesity
218 schema:publisher Springer Nature
219 rdf:type schema:Periodical
220 sg:person.01023725064.99 schema:affiliation grid-institutes:grid.413973.b
221 schema:familyName Coakley
222 schema:givenName J
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023725064.99
224 rdf:type schema:Person
225 sg:person.01161117017.16 schema:affiliation grid-institutes:grid.413973.b
226 schema:familyName Baur
227 schema:givenName LA
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161117017.16
229 rdf:type schema:Person
230 sg:person.01167574442.15 schema:affiliation grid-institutes:grid.413973.b
231 schema:familyName Garnett
232 schema:givenName SP
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167574442.15
234 rdf:type schema:Person
235 sg:person.01241172764.00 schema:affiliation grid-institutes:grid.413973.b
236 schema:familyName Peat
237 schema:givenName JK
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01241172764.00
239 rdf:type schema:Person
240 sg:person.012531005704.33 schema:affiliation grid-institutes:grid.413973.b
241 schema:familyName Cowell
242 schema:givenName CT
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012531005704.33
244 rdf:type schema:Person
245 sg:person.01274522246.33 schema:affiliation grid-institutes:grid.413243.3
246 schema:familyName Boulton
247 schema:givenName TJ
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274522246.33
249 rdf:type schema:Person
250 sg:person.0603760660.51 schema:affiliation grid-institutes:grid.413243.3
251 schema:familyName Fay
252 schema:givenName RA
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603760660.51
254 rdf:type schema:Person
255 sg:person.0771313643.52 schema:affiliation grid-institutes:grid.413973.b
256 schema:familyName Lee
257 schema:givenName J
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771313643.52
259 rdf:type schema:Person
260 sg:pub.10.1007/bf00403383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012530569
261 https://doi.org/10.1007/bf00403383
262 rdf:type schema:CreativeWork
263 sg:pub.10.1007/s001250051046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020543038
264 https://doi.org/10.1007/s001250051046
265 rdf:type schema:CreativeWork
266 sg:pub.10.1038/sj.ijo.0800904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027604079
267 https://doi.org/10.1038/sj.ijo.0800904
268 rdf:type schema:CreativeWork
269 sg:pub.10.1203/00006450-199511000-00017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021602127
270 https://doi.org/10.1203/00006450-199511000-00017
271 rdf:type schema:CreativeWork
272 grid-institutes:grid.413243.3 schema:alternateName Division of Women's and Children's Health, Nepean Hospital, Sydney, New South Wales, Australia
273 schema:name Division of Women's and Children's Health, Nepean Hospital, Sydney, New South Wales, Australia
274 rdf:type schema:Organization
275 grid-institutes:grid.413973.b schema:alternateName Department of Biochemistry, The Children's Hospital at Westmead, Sydney, Australia
276 The Robert Vines Growth Centre, The Children's Hospital at Westmead, Sydney, New South Wales, Australia
277 University of Sydney Department of Paediatrics and Child Health, The Children's Hospital at Westmead, Sydney, New South Wales, Australia
278 schema:name Department of Biochemistry, The Children's Hospital at Westmead, Sydney, Australia
279 The Robert Vines Growth Centre, The Children's Hospital at Westmead, Sydney, New South Wales, Australia
280 University of Sydney Department of Paediatrics and Child Health, The Children's Hospital at Westmead, Sydney, New South Wales, Australia
281 rdf:type schema:Organization
 




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


...