Anthropometric measures and epithelial ovarian cancer risk among Chinese women: results from the Shanghai Women’s Health Study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-08

AUTHORS

X Ma, A Beeghly-Fadiel, X-O Shu, H Li, G Yang, Y-T Gao, W Zheng

ABSTRACT

BACKGROUND: Studies of anthropometric measures and ovarian cancer risk have predominantly included women of European descent with mixed findings. METHODS: Data from the prospective Shanghai Women's Health Study (SWHS) were used to evaluate associations between anthropometric measures and risk of epithelial ovarian cancer (EOC). Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated by Cox proportional hazards regression. RESULTS: A total of 152 EOC cases occurred among 70 258 women. Increasing quartiles of weight, hip circumference, and weight gain during adulthood were associated with significantly increased EOC risks. Body mass index (BMI) was also associated; overweight (25BMI<29.99) and obese women (BMI30.0) had significantly increased risks (HR: 1.49, 95% CI: 1.05, 2.13, and HR: 2.42, 95% CI: 1.37, 4.28, respectively). No significant associations were observed for height, waist circumference, waist-to-hip ratio (WHR), and waist-to-height ratio (WHER). CONCLUSION: Results from this large prospective study of Chinese women support the hypothesis that general adiposity contributes to the aetiology of ovarian cancer. More... »

PAGES

751

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2013.384

DOI

http://dx.doi.org/10.1038/bjc.2013.384

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021777093

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23860524


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adiposity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anthropometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Weight", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Ovarian Epithelial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "China", 
        "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": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms, Glandular and Epithelial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ovarian Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Overweight", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proportional Hazards Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Third Military Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410570.7", 
          "name": [
            "Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA", 
            "Department of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "X", 
        "id": "sg:person.0676444177.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676444177.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University", 
          "id": "https://www.grid.ac/institutes/grid.152326.1", 
          "name": [
            "Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Beeghly-Fadiel", 
        "givenName": "A", 
        "id": "sg:person.01245147605.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245147605.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University", 
          "id": "https://www.grid.ac/institutes/grid.152326.1", 
          "name": [
            "Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shu", 
        "givenName": "X-O", 
        "id": "sg:person.016560013412.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016560013412.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.419087.3", 
          "name": [
            "Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "H", 
        "id": "sg:person.015043610767.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015043610767.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University", 
          "id": "https://www.grid.ac/institutes/grid.152326.1", 
          "name": [
            "Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "G", 
        "id": "sg:person.016166735457.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016166735457.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.419087.3", 
          "name": [
            "Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gao", 
        "givenName": "Y-T", 
        "id": "sg:person.010312422777.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010312422777.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University", 
          "id": "https://www.grid.ac/institutes/grid.152326.1", 
          "name": [
            "Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zheng", 
        "givenName": "W", 
        "id": "sg:person.016425765167.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016425765167.70"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10552-010-9647-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001134511", 
          "https://doi.org/10.1007/s10552-010-9647-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-010-9647-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001134511", 
          "https://doi.org/10.1007/s10552-010-9647-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-010-9647-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001134511", 
          "https://doi.org/10.1007/s10552-010-9647-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.24952", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003204408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.24952", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003204408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2005.04.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006776430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2005.04.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006776430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-010-9638-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007881702", 
          "https://doi.org/10.1007/s10552-010-9638-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-010-9638-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007881702", 
          "https://doi.org/10.1007/s10552-010-9638-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pmed.1001200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013556709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(08)60269-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016030406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.20529", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021349358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022040392", 
          "https://doi.org/10.1038/nrc1408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022040392", 
          "https://doi.org/10.1038/nrc1408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-012-0075-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034024202", 
          "https://doi.org/10.1007/s10552-012-0075-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.20146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034227111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1530/erc-12-0395", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037177304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1447-0756.2005.00319.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038521607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1447-0756.2005.00319.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038521607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-005-3205-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042735742", 
          "https://doi.org/10.1007/s10552-005-3205-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-005-3205-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042735742", 
          "https://doi.org/10.1007/s10552-005-3205-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwi322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044364691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwi322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044364691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-8049(02)00155-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045945731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-07-2524", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048583156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.312.7027.377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062774794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.312.7027.377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062774794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/ijo.2011.1194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071512470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/ijo.2011.1194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071512470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078029998", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-08", 
    "datePublishedReg": "2013-08-01", 
    "description": "BACKGROUND: Studies of anthropometric measures and ovarian cancer risk have predominantly included women of European descent with mixed findings.\nMETHODS: Data from the prospective Shanghai Women's Health Study (SWHS) were used to evaluate associations between anthropometric measures and risk of epithelial ovarian cancer (EOC). Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated by Cox proportional hazards regression.\nRESULTS: A total of 152 EOC cases occurred among 70\u2009258 women. Increasing quartiles of weight, hip circumference, and weight gain during adulthood were associated with significantly increased EOC risks. Body mass index (BMI) was also associated; overweight (25BMI<29.99) and obese women (BMI\ue2f630.0) had significantly increased risks (HR: 1.49, 95% CI: 1.05, 2.13, and HR: 2.42, 95% CI: 1.37, 4.28, respectively). No significant associations were observed for height, waist circumference, waist-to-hip ratio (WHR), and waist-to-height ratio (WHER).\nCONCLUSION: Results from this large prospective study of Chinese women support the hypothesis that general adiposity contributes to the aetiology of ovarian cancer.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/bjc.2013.384", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2634377", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "109"
      }
    ], 
    "name": "Anthropometric measures and epithelial ovarian cancer risk among Chinese women: results from the Shanghai Women\u2019s Health Study", 
    "pagination": "751", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "67c1122895b475c3b2ac8bb17621708984ca67e516a74e99d48b2bba55aec682"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23860524"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/bjc.2013.384"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1021777093"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/bjc.2013.384", 
      "https://app.dimensions.ai/details/publication/pub.1021777093"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:34", 
    "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/v90/0000000346_0000000346/records_99818_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/bjc2013384"
  }
]
 

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/bjc.2013.384'

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/bjc.2013.384'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bjc.2013.384'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bjc.2013.384'


 

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

257 TRIPLES      21 PREDICATES      67 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/bjc.2013.384 schema:about N0421ca75230349149c97ffb53d1f45b1
2 N04441d375cb74ed188ac2d71831de8d7
3 N1a5ff5cb19874065b1fe7bdc453a6f8e
4 N5a29058b704d494f9cbe0f33f207c058
5 N624cf5a0c1914e1b91990c3035732b80
6 N6e9b5021497d4b90b2992e4e8376590f
7 N74cdeb66782446ef9828d03add2b89af
8 N7a0a6b49c36643afb5ef5be43d13c821
9 N84abb74ec40a4ef2bba00c45f2432254
10 N891af27b589a4ddb9b42c2462394c452
11 N8bcfdbc141164cdfb67f5aae4d47d4dc
12 N8ea5dfdfc0a543b791f197ebf12b77dc
13 Na35f6d17e48b47c680be637563222472
14 Nb07c277ffc554c5fb0ec722bbd17cfa4
15 Nba7493daf1e94d85901e1f097f6e481a
16 Ne24f6a967d7647cf89fe74d561d1066f
17 Ne4e569fdd20940d880f96e32fe0ad55c
18 Nef81e5a98de642149388e246435ffa35
19 Nfb911c9f3bd54290935ff8a12faac27e
20 anzsrc-for:11
21 anzsrc-for:1117
22 schema:author N113d42f94fa14aa68c86749b3f38b273
23 schema:citation sg:pub.10.1007/s10552-005-3205-y
24 sg:pub.10.1007/s10552-010-9638-y
25 sg:pub.10.1007/s10552-010-9647-x
26 sg:pub.10.1007/s10552-012-0075-y
27 sg:pub.10.1038/nrc1408
28 https://app.dimensions.ai/details/publication/pub.1078029998
29 https://doi.org/10.1002/cncr.20146
30 https://doi.org/10.1002/ijc.20529
31 https://doi.org/10.1002/ijc.24952
32 https://doi.org/10.1016/j.ygyno.2005.04.026
33 https://doi.org/10.1016/s0140-6736(08)60269-x
34 https://doi.org/10.1016/s0959-8049(02)00155-7
35 https://doi.org/10.1093/aje/kwi322
36 https://doi.org/10.1111/j.1447-0756.2005.00319.x
37 https://doi.org/10.1136/bmj.312.7027.377
38 https://doi.org/10.1158/1055-9965.epi-07-2524
39 https://doi.org/10.1371/journal.pmed.1001200
40 https://doi.org/10.1530/erc-12-0395
41 https://doi.org/10.3892/ijo.2011.1194
42 schema:datePublished 2013-08
43 schema:datePublishedReg 2013-08-01
44 schema:description BACKGROUND: Studies of anthropometric measures and ovarian cancer risk have predominantly included women of European descent with mixed findings. METHODS: Data from the prospective Shanghai Women's Health Study (SWHS) were used to evaluate associations between anthropometric measures and risk of epithelial ovarian cancer (EOC). Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated by Cox proportional hazards regression. RESULTS: A total of 152 EOC cases occurred among 70 258 women. Increasing quartiles of weight, hip circumference, and weight gain during adulthood were associated with significantly increased EOC risks. Body mass index (BMI) was also associated; overweight (25BMI<29.99) and obese women (BMI30.0) had significantly increased risks (HR: 1.49, 95% CI: 1.05, 2.13, and HR: 2.42, 95% CI: 1.37, 4.28, respectively). No significant associations were observed for height, waist circumference, waist-to-hip ratio (WHR), and waist-to-height ratio (WHER). CONCLUSION: Results from this large prospective study of Chinese women support the hypothesis that general adiposity contributes to the aetiology of ovarian cancer.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree true
48 schema:isPartOf N1118110593294ff1881b0028020de31a
49 N37ad06dd18434a7baa868491bdcdb094
50 sg:journal.1017082
51 schema:name Anthropometric measures and epithelial ovarian cancer risk among Chinese women: results from the Shanghai Women’s Health Study
52 schema:pagination 751
53 schema:productId N6d14751d42d44f9398b399172c68a45e
54 Nbb6c594fc0e04029833d86817881da86
55 Ncd8f035b570a46d9a8c1ad3dbbb005d3
56 Ndd9a7259499549b8b2b901b2ce0b26ed
57 Nde47fd6cdd2047ec992dbec0c0007807
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021777093
59 https://doi.org/10.1038/bjc.2013.384
60 schema:sdDatePublished 2019-04-11T09:34
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N5aaf9e42ac2649209b44abf87040a573
63 schema:url https://www.nature.com/articles/bjc2013384
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N0421ca75230349149c97ffb53d1f45b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Body Weight
69 rdf:type schema:DefinedTerm
70 N04441d375cb74ed188ac2d71831de8d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Adult
72 rdf:type schema:DefinedTerm
73 N1118110593294ff1881b0028020de31a schema:issueNumber 3
74 rdf:type schema:PublicationIssue
75 N113d42f94fa14aa68c86749b3f38b273 rdf:first sg:person.0676444177.02
76 rdf:rest Nf8fde714180f43e3b990c1056b00298b
77 N1a5ff5cb19874065b1fe7bdc453a6f8e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Prospective Studies
79 rdf:type schema:DefinedTerm
80 N2c5e01697a1644399a945ea6be72eb53 rdf:first sg:person.015043610767.81
81 rdf:rest Nd4beb1621fb9416d9e0d9473f8435345
82 N37ad06dd18434a7baa868491bdcdb094 schema:volumeNumber 109
83 rdf:type schema:PublicationVolume
84 N5a29058b704d494f9cbe0f33f207c058 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Body Mass Index
86 rdf:type schema:DefinedTerm
87 N5aaf9e42ac2649209b44abf87040a573 schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 N624cf5a0c1914e1b91990c3035732b80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Neoplasms, Glandular and Epithelial
91 rdf:type schema:DefinedTerm
92 N6d14751d42d44f9398b399172c68a45e schema:name dimensions_id
93 schema:value pub.1021777093
94 rdf:type schema:PropertyValue
95 N6e9b5021497d4b90b2992e4e8376590f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Adiposity
97 rdf:type schema:DefinedTerm
98 N74cdeb66782446ef9828d03add2b89af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Ovarian Neoplasms
100 rdf:type schema:DefinedTerm
101 N7a0a6b49c36643afb5ef5be43d13c821 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Anthropometry
103 rdf:type schema:DefinedTerm
104 N84abb74ec40a4ef2bba00c45f2432254 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Female
106 rdf:type schema:DefinedTerm
107 N891af27b589a4ddb9b42c2462394c452 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Carcinoma, Ovarian Epithelial
109 rdf:type schema:DefinedTerm
110 N8bcfdbc141164cdfb67f5aae4d47d4dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Humans
112 rdf:type schema:DefinedTerm
113 N8ea5dfdfc0a543b791f197ebf12b77dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Obesity
115 rdf:type schema:DefinedTerm
116 Na35f6d17e48b47c680be637563222472 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Aged
118 rdf:type schema:DefinedTerm
119 Nb07c277ffc554c5fb0ec722bbd17cfa4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name China
121 rdf:type schema:DefinedTerm
122 Nb9000c5727e54dcaa91b8a0e46a131a1 rdf:first sg:person.016560013412.05
123 rdf:rest N2c5e01697a1644399a945ea6be72eb53
124 Nba7493daf1e94d85901e1f097f6e481a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Overweight
126 rdf:type schema:DefinedTerm
127 Nbb6c594fc0e04029833d86817881da86 schema:name doi
128 schema:value 10.1038/bjc.2013.384
129 rdf:type schema:PropertyValue
130 Ncd8f035b570a46d9a8c1ad3dbbb005d3 schema:name nlm_unique_id
131 schema:value 0370635
132 rdf:type schema:PropertyValue
133 Nce5a1de9fa074dc58f0a7a0ea2cf2701 rdf:first sg:person.010312422777.39
134 rdf:rest Neb36973ee8c245419e70e17cc2da29a7
135 Nd4beb1621fb9416d9e0d9473f8435345 rdf:first sg:person.016166735457.03
136 rdf:rest Nce5a1de9fa074dc58f0a7a0ea2cf2701
137 Ndd9a7259499549b8b2b901b2ce0b26ed schema:name readcube_id
138 schema:value 67c1122895b475c3b2ac8bb17621708984ca67e516a74e99d48b2bba55aec682
139 rdf:type schema:PropertyValue
140 Nde47fd6cdd2047ec992dbec0c0007807 schema:name pubmed_id
141 schema:value 23860524
142 rdf:type schema:PropertyValue
143 Ne24f6a967d7647cf89fe74d561d1066f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Risk Factors
145 rdf:type schema:DefinedTerm
146 Ne4e569fdd20940d880f96e32fe0ad55c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Middle Aged
148 rdf:type schema:DefinedTerm
149 Neb36973ee8c245419e70e17cc2da29a7 rdf:first sg:person.016425765167.70
150 rdf:rest rdf:nil
151 Nef81e5a98de642149388e246435ffa35 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Cohort Studies
153 rdf:type schema:DefinedTerm
154 Nf8fde714180f43e3b990c1056b00298b rdf:first sg:person.01245147605.72
155 rdf:rest Nb9000c5727e54dcaa91b8a0e46a131a1
156 Nfb911c9f3bd54290935ff8a12faac27e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Proportional Hazards Models
158 rdf:type schema:DefinedTerm
159 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
160 schema:name Medical and Health Sciences
161 rdf:type schema:DefinedTerm
162 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
163 schema:name Public Health and Health Services
164 rdf:type schema:DefinedTerm
165 sg:grant.2634377 http://pending.schema.org/fundedItem sg:pub.10.1038/bjc.2013.384
166 rdf:type schema:MonetaryGrant
167 sg:journal.1017082 schema:issn 0007-0920
168 1532-1827
169 schema:name British Journal of Cancer
170 rdf:type schema:Periodical
171 sg:person.010312422777.39 schema:affiliation https://www.grid.ac/institutes/grid.419087.3
172 schema:familyName Gao
173 schema:givenName Y-T
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010312422777.39
175 rdf:type schema:Person
176 sg:person.01245147605.72 schema:affiliation https://www.grid.ac/institutes/grid.152326.1
177 schema:familyName Beeghly-Fadiel
178 schema:givenName A
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245147605.72
180 rdf:type schema:Person
181 sg:person.015043610767.81 schema:affiliation https://www.grid.ac/institutes/grid.419087.3
182 schema:familyName Li
183 schema:givenName H
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015043610767.81
185 rdf:type schema:Person
186 sg:person.016166735457.03 schema:affiliation https://www.grid.ac/institutes/grid.152326.1
187 schema:familyName Yang
188 schema:givenName G
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016166735457.03
190 rdf:type schema:Person
191 sg:person.016425765167.70 schema:affiliation https://www.grid.ac/institutes/grid.152326.1
192 schema:familyName Zheng
193 schema:givenName W
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016425765167.70
195 rdf:type schema:Person
196 sg:person.016560013412.05 schema:affiliation https://www.grid.ac/institutes/grid.152326.1
197 schema:familyName Shu
198 schema:givenName X-O
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016560013412.05
200 rdf:type schema:Person
201 sg:person.0676444177.02 schema:affiliation https://www.grid.ac/institutes/grid.410570.7
202 schema:familyName Ma
203 schema:givenName X
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676444177.02
205 rdf:type schema:Person
206 sg:pub.10.1007/s10552-005-3205-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1042735742
207 https://doi.org/10.1007/s10552-005-3205-y
208 rdf:type schema:CreativeWork
209 sg:pub.10.1007/s10552-010-9638-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1007881702
210 https://doi.org/10.1007/s10552-010-9638-y
211 rdf:type schema:CreativeWork
212 sg:pub.10.1007/s10552-010-9647-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001134511
213 https://doi.org/10.1007/s10552-010-9647-x
214 rdf:type schema:CreativeWork
215 sg:pub.10.1007/s10552-012-0075-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1034024202
216 https://doi.org/10.1007/s10552-012-0075-y
217 rdf:type schema:CreativeWork
218 sg:pub.10.1038/nrc1408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022040392
219 https://doi.org/10.1038/nrc1408
220 rdf:type schema:CreativeWork
221 https://app.dimensions.ai/details/publication/pub.1078029998 schema:CreativeWork
222 https://doi.org/10.1002/cncr.20146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034227111
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1002/ijc.20529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021349358
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1002/ijc.24952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003204408
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.ygyno.2005.04.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006776430
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/s0140-6736(08)60269-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016030406
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/s0959-8049(02)00155-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045945731
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1093/aje/kwi322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044364691
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1111/j.1447-0756.2005.00319.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1038521607
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1136/bmj.312.7027.377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062774794
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1158/1055-9965.epi-07-2524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048583156
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1371/journal.pmed.1001200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013556709
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1530/erc-12-0395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037177304
245 rdf:type schema:CreativeWork
246 https://doi.org/10.3892/ijo.2011.1194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071512470
247 rdf:type schema:CreativeWork
248 https://www.grid.ac/institutes/grid.152326.1 schema:alternateName Vanderbilt University
249 schema:name Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
250 rdf:type schema:Organization
251 https://www.grid.ac/institutes/grid.410570.7 schema:alternateName Third Military Medical University
252 schema:name Department of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, China
253 Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
254 rdf:type schema:Organization
255 https://www.grid.ac/institutes/grid.419087.3 schema:alternateName Shanghai Cancer Institute
256 schema:name Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
257 rdf:type schema:Organization
 




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


...