Maternal Height, Childhood Growth and Risk of Hip Fracture in Later Life: A Longitudinal Study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-09

AUTHORS

C. Cooper, J. G. Eriksson, T. Forsén, C. Osmond, J. Tuomilehto, D. J. P. Barker

ABSTRACT

Although measures to enhance bone mineralization during childhood and adolescence are widely incorporated into preventive programmes against osteoporotic fracture, there are no published data directly linking growth rates in childhood with the risk of later hip fracture. We addressed this issue in a unique Finnish cohort in whom birth and childhood growth data were linked to later hospital discharge records. This permitted follow-up of 3639 men and 3447 women who were born in Helsinki University Central Hospital between 1924 and 1933, who went to school in Helsinki and still lived in Finland in 1971. Body size at birth was recorded and an average of 10 measurements were obtained of height and weight throughout childhood. We identified 112 subjects (55 men and 57 women) who sustained a hip fracture during 165 404 person-years of follow-up. After adjustment for age and sex in a proportional hazards model, we identified two major determinants of hip fracture risk: tall maternal height (p < 0.001) and a low rate of childhood growth (height, p = 0.006; weight, p = 0.01). The hazard ratio for hip fracture was 2.1 (95% CI 1.2-3.5) among men and women born to mothers taller than 1.61 m, when compared with those whose mothers were shorter than 1.54 m. The ratio was 1.9 (95% CI 1.1-3.2) among those whose rate of childhood height gain was below the lowest quartile for the cohort, compared with those whose growth rate was above the highest quartile. The effects of maternal height and childhood growth rate were statistically independent of each other, and remained after adjusting for socioeconomic status. The patterns of childhood growth that predicted future hip fracture differed between boys and girls. In boys, there was a constant deficit in height and weight between ages 7 and 15 years among those later sustaining fractures; in girls, there was a progressively increasing deficit in weight but a delayed height gain among those later sustaining fractures. This epidemiologic study provides the first direct evidence that a low rate of childhood growth is a risk factor for later hip fracture. Whether reduced growth rate is a consequence of childhood lifestyle, genetic background or intrauterine hormonal programming, the data support measures to optimize childhood growth as part of preventive strategies against osteoporotic fracture in future generations. More... »

PAGES

623-629

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s001980170061

DOI

http://dx.doi.org/10.1007/s001980170061

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014291363

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11580075


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": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age of Onset", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Height", 
        "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": "Confidence Intervals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Crowding", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Growth", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hip Fractures", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Linear Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Longitudinal Studies", 
        "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": "Mothers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proportional Hazards Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sex Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Social Class", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "The MRC Environmental Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK;, GB"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cooper", 
        "givenName": "C.", 
        "id": "sg:person.01154357674.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154357674.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health and Welfare", 
          "id": "https://www.grid.ac/institutes/grid.14758.3f", 
          "name": [
            "The National Public Health Institute, Diabetes and Genetic Epidemiology Unit, Helsinki, Finland, FI"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eriksson", 
        "givenName": "J. G.", 
        "id": "sg:person.01242715665.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242715665.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health and Welfare", 
          "id": "https://www.grid.ac/institutes/grid.14758.3f", 
          "name": [
            "The National Public Health Institute, Diabetes and Genetic Epidemiology Unit, Helsinki, Finland, FI"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fors\u00e9n", 
        "givenName": "T.", 
        "id": "sg:person.01103300567.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103300567.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "The MRC Environmental Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK;, GB"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Osmond", 
        "givenName": "C.", 
        "id": "sg:person.0676012265.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676012265.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health and Welfare", 
          "id": "https://www.grid.ac/institutes/grid.14758.3f", 
          "name": [
            "The National Public Health Institute, Diabetes and Genetic Epidemiology Unit, Helsinki, Finland, FI"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tuomilehto", 
        "givenName": "J.", 
        "id": "sg:person.015606270372.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015606270372.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "The MRC Environmental Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK;, GB"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barker", 
        "givenName": "D. J. P.", 
        "id": "sg:person.015356240652.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015356240652.19"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1136/bmj.300.6733.1173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010670494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01623385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023957809", 
          "https://doi.org/10.1007/bf01623385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.1999.14.10.1672", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024344308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.4780100502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026669361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002239900253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031237058", 
          "https://doi.org/10.1007/s002239900253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9343(97)90022-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031843635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199207093270204", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032825584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.56.1.17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033388770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci119287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034786674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(93)92746-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042843464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.51.4.424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044108969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.1999.14.1.146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048908760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650100615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051081720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650100615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051081720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.1997.12.4.509", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051772146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0033-3506(99)00170-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054604996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0033-3506(99)00170-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054604996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem.83.1.4487", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064321317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem.84.9.5964", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064322906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-115-11-837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073695772"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2001-09", 
    "datePublishedReg": "2001-09-01", 
    "description": "Although measures to enhance bone mineralization during childhood and adolescence are widely incorporated into preventive programmes against osteoporotic fracture, there are no published data directly linking growth rates in childhood with the risk of later hip fracture. We addressed this issue in a unique Finnish cohort in whom birth and childhood growth data were linked to later hospital discharge records. This permitted follow-up of 3639 men and 3447 women who were born in Helsinki University Central Hospital between 1924 and 1933, who went to school in Helsinki and still lived in Finland in 1971. Body size at birth was recorded and an average of 10 measurements were obtained of height and weight throughout childhood. We identified 112 subjects (55 men and 57 women) who sustained a hip fracture during 165 404 person-years of follow-up. After adjustment for age and sex in a proportional hazards model, we identified two major determinants of hip fracture risk: tall maternal height (p < 0.001) and a low rate of childhood growth (height, p = 0.006; weight, p = 0.01). The hazard ratio for hip fracture was 2.1 (95% CI 1.2-3.5) among men and women born to mothers taller than 1.61 m, when compared with those whose mothers were shorter than 1.54 m. The ratio was 1.9 (95% CI 1.1-3.2) among those whose rate of childhood height gain was below the lowest quartile for the cohort, compared with those whose growth rate was above the highest quartile. The effects of maternal height and childhood growth rate were statistically independent of each other, and remained after adjusting for socioeconomic status. The patterns of childhood growth that predicted future hip fracture differed between boys and girls. In boys, there was a constant deficit in height and weight between ages 7 and 15 years among those later sustaining fractures; in girls, there was a progressively increasing deficit in weight but a delayed height gain among those later sustaining fractures. This epidemiologic study provides the first direct evidence that a low rate of childhood growth is a risk factor for later hip fracture. Whether reduced growth rate is a consequence of childhood lifestyle, genetic background or intrauterine hormonal programming, the data support measures to optimize childhood growth as part of preventive strategies against osteoporotic fracture in future generations.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s001980170061", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1100834", 
        "issn": [
          "0937-941X", 
          "1433-2965"
        ], 
        "name": "Osteoporosis International", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Maternal Height, Childhood Growth and Risk of Hip Fracture in Later Life: A Longitudinal Study", 
    "pagination": "623-629", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "441548c02278dd0f0bcbd98aca2214972feea47c2451aae6adbb5535aab061f6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "11580075"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9100105"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s001980170061"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1014291363"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s001980170061", 
      "https://app.dimensions.ai/details/publication/pub.1014291363"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:45", 
    "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_8664_00000487.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s001980170061"
  }
]
 

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/s001980170061'

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/s001980170061'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s001980170061'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s001980170061'


 

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

250 TRIPLES      21 PREDICATES      68 URIs      42 LITERALS      30 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s001980170061 schema:about N08f0abe442804d009a7bd8284869b6e4
2 N0c0a2bdfec9447cda0929756bf538f7a
3 N0cf8cd4bd7fa47469d94a904fd366ad8
4 N18ff230398a24bfcb7b1e3c429cb7cc1
5 N1a721ea6f509480c977410053b9815db
6 N20415e49e533406196cbec0dfe90d9eb
7 N23039cc032194e329951bf77a022cf3f
8 N2c3835d92b49407d9fd3a3f45d901754
9 N331d61965a9545039aa64b05c56b38d9
10 N388d9d0e0cc14924917a23b546e66f76
11 N50c3730d95204033a5cf3b3dc82eaf71
12 N624e2052287243afb84e5b7940dc6ca7
13 N873fd27ca3b549d183c5b828267e5a9d
14 N8b455189818949158d8a4be9e1c7c786
15 N904621d7417343f8b9d88dc3e399bc31
16 N9ad539a1943a4020aee3a546c75d3255
17 Nc806cfacb9d844a7aec7ea3b0f1de2fd
18 Nd2ad7c70a9854814ae5bebca470ca341
19 Nd61d0a908d264dd5b5aac002c22bc368
20 Nebc634d51930413988367d2e68081ba2
21 Nf09028693a7e40ad845e2675fce7067d
22 anzsrc-for:11
23 anzsrc-for:1117
24 schema:author N32b2bfa1b0284fddb1d9247afc708564
25 schema:citation sg:pub.10.1007/bf01623385
26 sg:pub.10.1007/s002239900253
27 https://doi.org/10.1002/jbmr.5650100615
28 https://doi.org/10.1002/sim.4780100502
29 https://doi.org/10.1016/0140-6736(93)92746-g
30 https://doi.org/10.1016/s0002-9343(97)90022-x
31 https://doi.org/10.1016/s0033-3506(99)00170-5
32 https://doi.org/10.1056/nejm199207093270204
33 https://doi.org/10.1136/ard.56.1.17
34 https://doi.org/10.1136/bmj.300.6733.1173
35 https://doi.org/10.1136/jech.51.4.424
36 https://doi.org/10.1172/jci119287
37 https://doi.org/10.1210/jcem.83.1.4487
38 https://doi.org/10.1210/jcem.84.9.5964
39 https://doi.org/10.1359/jbmr.1997.12.4.509
40 https://doi.org/10.1359/jbmr.1999.14.1.146
41 https://doi.org/10.1359/jbmr.1999.14.10.1672
42 https://doi.org/10.7326/0003-4819-115-11-837
43 schema:datePublished 2001-09
44 schema:datePublishedReg 2001-09-01
45 schema:description Although measures to enhance bone mineralization during childhood and adolescence are widely incorporated into preventive programmes against osteoporotic fracture, there are no published data directly linking growth rates in childhood with the risk of later hip fracture. We addressed this issue in a unique Finnish cohort in whom birth and childhood growth data were linked to later hospital discharge records. This permitted follow-up of 3639 men and 3447 women who were born in Helsinki University Central Hospital between 1924 and 1933, who went to school in Helsinki and still lived in Finland in 1971. Body size at birth was recorded and an average of 10 measurements were obtained of height and weight throughout childhood. We identified 112 subjects (55 men and 57 women) who sustained a hip fracture during 165 404 person-years of follow-up. After adjustment for age and sex in a proportional hazards model, we identified two major determinants of hip fracture risk: tall maternal height (p < 0.001) and a low rate of childhood growth (height, p = 0.006; weight, p = 0.01). The hazard ratio for hip fracture was 2.1 (95% CI 1.2-3.5) among men and women born to mothers taller than 1.61 m, when compared with those whose mothers were shorter than 1.54 m. The ratio was 1.9 (95% CI 1.1-3.2) among those whose rate of childhood height gain was below the lowest quartile for the cohort, compared with those whose growth rate was above the highest quartile. The effects of maternal height and childhood growth rate were statistically independent of each other, and remained after adjusting for socioeconomic status. The patterns of childhood growth that predicted future hip fracture differed between boys and girls. In boys, there was a constant deficit in height and weight between ages 7 and 15 years among those later sustaining fractures; in girls, there was a progressively increasing deficit in weight but a delayed height gain among those later sustaining fractures. This epidemiologic study provides the first direct evidence that a low rate of childhood growth is a risk factor for later hip fracture. Whether reduced growth rate is a consequence of childhood lifestyle, genetic background or intrauterine hormonal programming, the data support measures to optimize childhood growth as part of preventive strategies against osteoporotic fracture in future generations.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf N4588958a49f7465a8f72fdb0e49e63fa
50 Ne6aa3e8e1b6744bbb2b5491259535c6a
51 sg:journal.1100834
52 schema:name Maternal Height, Childhood Growth and Risk of Hip Fracture in Later Life: A Longitudinal Study
53 schema:pagination 623-629
54 schema:productId N0ec994f602c1439db9dd094403a45177
55 N4f4402313c6643f4a249065f8ee58314
56 N60e8e1b06a064fae8b9d73f9b82ebe11
57 N8e997ce617db49aa84a9639e1288494c
58 Na4733bb787bd4846b20794b707f359bd
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014291363
60 https://doi.org/10.1007/s001980170061
61 schema:sdDatePublished 2019-04-10T15:45
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher Ne4b60b4fc31640b2aebf6c5285b22bb8
64 schema:url http://link.springer.com/10.1007/s001980170061
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N00f294687d96451798a0f7d80bc2cd21 schema:name The MRC Environmental Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK;, GB
69 rdf:type schema:Organization
70 N08f0abe442804d009a7bd8284869b6e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Confidence Intervals
72 rdf:type schema:DefinedTerm
73 N0c0a2bdfec9447cda0929756bf538f7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Adolescent
75 rdf:type schema:DefinedTerm
76 N0cf8cd4bd7fa47469d94a904fd366ad8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Growth
78 rdf:type schema:DefinedTerm
79 N0ec994f602c1439db9dd094403a45177 schema:name nlm_unique_id
80 schema:value 9100105
81 rdf:type schema:PropertyValue
82 N18ff230398a24bfcb7b1e3c429cb7cc1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Age of Onset
84 rdf:type schema:DefinedTerm
85 N1a721ea6f509480c977410053b9815db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Linear Models
87 rdf:type schema:DefinedTerm
88 N20415e49e533406196cbec0dfe90d9eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Risk Factors
90 rdf:type schema:DefinedTerm
91 N23039cc032194e329951bf77a022cf3f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Body Mass Index
93 rdf:type schema:DefinedTerm
94 N28fe53969c7f4932bdb15d5d3359352b rdf:first sg:person.01103300567.38
95 rdf:rest Nf0d2e37c83414e69a21c91c10615725c
96 N2c3835d92b49407d9fd3a3f45d901754 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Hip Fractures
98 rdf:type schema:DefinedTerm
99 N32b2bfa1b0284fddb1d9247afc708564 rdf:first sg:person.01154357674.52
100 rdf:rest Nf0bdb0e411ac448c8df870217cf02017
101 N331d61965a9545039aa64b05c56b38d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Proportional Hazards Models
103 rdf:type schema:DefinedTerm
104 N388d9d0e0cc14924917a23b546e66f76 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Body Height
106 rdf:type schema:DefinedTerm
107 N4588958a49f7465a8f72fdb0e49e63fa schema:issueNumber 8
108 rdf:type schema:PublicationIssue
109 N4f4402313c6643f4a249065f8ee58314 schema:name dimensions_id
110 schema:value pub.1014291363
111 rdf:type schema:PropertyValue
112 N50c3730d95204033a5cf3b3dc82eaf71 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Mothers
114 rdf:type schema:DefinedTerm
115 N60e8e1b06a064fae8b9d73f9b82ebe11 schema:name readcube_id
116 schema:value 441548c02278dd0f0bcbd98aca2214972feea47c2451aae6adbb5535aab061f6
117 rdf:type schema:PropertyValue
118 N624e2052287243afb84e5b7940dc6ca7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Middle Aged
120 rdf:type schema:DefinedTerm
121 N873fd27ca3b549d183c5b828267e5a9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Longitudinal Studies
123 rdf:type schema:DefinedTerm
124 N8b455189818949158d8a4be9e1c7c786 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Social Class
126 rdf:type schema:DefinedTerm
127 N8e997ce617db49aa84a9639e1288494c schema:name pubmed_id
128 schema:value 11580075
129 rdf:type schema:PropertyValue
130 N904621d7417343f8b9d88dc3e399bc31 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Male
132 rdf:type schema:DefinedTerm
133 N9ad539a1943a4020aee3a546c75d3255 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Child
135 rdf:type schema:DefinedTerm
136 Na4733bb787bd4846b20794b707f359bd schema:name doi
137 schema:value 10.1007/s001980170061
138 rdf:type schema:PropertyValue
139 Nb04913895ef54f15981dc5a6935d85b1 rdf:first sg:person.015606270372.47
140 rdf:rest Nbfc19a7d90334e80b5548abea2e5f3a5
141 Nbfc19a7d90334e80b5548abea2e5f3a5 rdf:first sg:person.015356240652.19
142 rdf:rest rdf:nil
143 Nc132db499fff41c289e2d6fe97f8ed82 schema:name The MRC Environmental Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK;, GB
144 rdf:type schema:Organization
145 Nc5ef21081d9b46b4a4870cb4750eadf4 schema:name The MRC Environmental Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK;, GB
146 rdf:type schema:Organization
147 Nc806cfacb9d844a7aec7ea3b0f1de2fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Female
149 rdf:type schema:DefinedTerm
150 Nd2ad7c70a9854814ae5bebca470ca341 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Aged
152 rdf:type schema:DefinedTerm
153 Nd61d0a908d264dd5b5aac002c22bc368 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Sex Factors
155 rdf:type schema:DefinedTerm
156 Ne4b60b4fc31640b2aebf6c5285b22bb8 schema:name Springer Nature - SN SciGraph project
157 rdf:type schema:Organization
158 Ne6aa3e8e1b6744bbb2b5491259535c6a schema:volumeNumber 12
159 rdf:type schema:PublicationVolume
160 Nebc634d51930413988367d2e68081ba2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Humans
162 rdf:type schema:DefinedTerm
163 Nf09028693a7e40ad845e2675fce7067d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Crowding
165 rdf:type schema:DefinedTerm
166 Nf0bdb0e411ac448c8df870217cf02017 rdf:first sg:person.01242715665.45
167 rdf:rest N28fe53969c7f4932bdb15d5d3359352b
168 Nf0d2e37c83414e69a21c91c10615725c rdf:first sg:person.0676012265.10
169 rdf:rest Nb04913895ef54f15981dc5a6935d85b1
170 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
171 schema:name Medical and Health Sciences
172 rdf:type schema:DefinedTerm
173 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
174 schema:name Public Health and Health Services
175 rdf:type schema:DefinedTerm
176 sg:journal.1100834 schema:issn 0937-941X
177 1433-2965
178 schema:name Osteoporosis International
179 rdf:type schema:Periodical
180 sg:person.01103300567.38 schema:affiliation https://www.grid.ac/institutes/grid.14758.3f
181 schema:familyName Forsén
182 schema:givenName T.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103300567.38
184 rdf:type schema:Person
185 sg:person.01154357674.52 schema:affiliation Nc5ef21081d9b46b4a4870cb4750eadf4
186 schema:familyName Cooper
187 schema:givenName C.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154357674.52
189 rdf:type schema:Person
190 sg:person.01242715665.45 schema:affiliation https://www.grid.ac/institutes/grid.14758.3f
191 schema:familyName Eriksson
192 schema:givenName J. G.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242715665.45
194 rdf:type schema:Person
195 sg:person.015356240652.19 schema:affiliation N00f294687d96451798a0f7d80bc2cd21
196 schema:familyName Barker
197 schema:givenName D. J. P.
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015356240652.19
199 rdf:type schema:Person
200 sg:person.015606270372.47 schema:affiliation https://www.grid.ac/institutes/grid.14758.3f
201 schema:familyName Tuomilehto
202 schema:givenName J.
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015606270372.47
204 rdf:type schema:Person
205 sg:person.0676012265.10 schema:affiliation Nc132db499fff41c289e2d6fe97f8ed82
206 schema:familyName Osmond
207 schema:givenName C.
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676012265.10
209 rdf:type schema:Person
210 sg:pub.10.1007/bf01623385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023957809
211 https://doi.org/10.1007/bf01623385
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s002239900253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031237058
214 https://doi.org/10.1007/s002239900253
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1002/jbmr.5650100615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051081720
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1002/sim.4780100502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026669361
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/0140-6736(93)92746-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1042843464
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/s0002-9343(97)90022-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031843635
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/s0033-3506(99)00170-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054604996
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1056/nejm199207093270204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032825584
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1136/ard.56.1.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033388770
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1136/bmj.300.6733.1173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010670494
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1136/jech.51.4.424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044108969
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1172/jci119287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034786674
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1210/jcem.83.1.4487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064321317
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1210/jcem.84.9.5964 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064322906
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1359/jbmr.1997.12.4.509 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051772146
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1359/jbmr.1999.14.1.146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048908760
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1359/jbmr.1999.14.10.1672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024344308
245 rdf:type schema:CreativeWork
246 https://doi.org/10.7326/0003-4819-115-11-837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073695772
247 rdf:type schema:CreativeWork
248 https://www.grid.ac/institutes/grid.14758.3f schema:alternateName National Institute for Health and Welfare
249 schema:name The National Public Health Institute, Diabetes and Genetic Epidemiology Unit, Helsinki, Finland, FI
250 rdf:type schema:Organization
 




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


...