Factors Affecting Peak Bone Density in Japanese Women View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1999-02

AUTHORS

Y. Fujita, K. Katsumata, A. Unno, T. Tawa, A. Tokita

ABSTRACT

. Both genetic and environmental factors have been shown to contribute to the determination of bone density. To clarify the interaction between genetic and environmental factors affecting peak bone mass, we investigated the correlation between bone mineral density (BMD) and physical constitution, vitamin D receptor (VDR) genotype, age, age of menarche, history of menstrual dysfunction, and exercise in 157 healthy young Japanese women. History of exercise and menstrual dysfunction were significant independent predictors of BMD. The VDR genotype also affects peak bone density. Exercise has been shown to increase BMD in a similar way for each VDR genotype including those women who have the particular genotype associated with low bone density. This data indicate that there are complex gene-environmental interactions particularly in relation to menstrual history, exercise, and genetic factors during childhood/adolescence that may have implications for the development of adult BMD in women. More... »

PAGES

107-111

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s002239900587

DOI

http://dx.doi.org/10.1007/s002239900587

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046632599

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/9914316


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Alcohol Drinking", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Density", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Exercise", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Menstrual Cycle", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Calcitriol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Smoking", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP", 
          "id": "http://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujita", 
        "givenName": "Y.", 
        "id": "sg:person.01015634525.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015634525.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP", 
          "id": "http://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Katsumata", 
        "givenName": "K.", 
        "id": "sg:person.01045662442.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045662442.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP", 
          "id": "http://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Unno", 
        "givenName": "A.", 
        "id": "sg:person.01133410506.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133410506.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP", 
          "id": "http://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tawa", 
        "givenName": "T.", 
        "id": "sg:person.01344452642.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344452642.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP", 
          "id": "http://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tokita", 
        "givenName": "A.", 
        "id": "sg:person.01364065506.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364065506.72"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1999-02", 
    "datePublishedReg": "1999-02-01", 
    "description": "Abstract. Both genetic and environmental factors have been shown to contribute to the determination of bone density. To clarify the interaction between genetic and environmental factors affecting peak bone mass, we investigated the correlation between bone mineral density (BMD) and physical constitution, vitamin D receptor (VDR) genotype, age, age of menarche, history of menstrual dysfunction, and exercise in 157 healthy young Japanese women. History of exercise and menstrual dysfunction were significant independent predictors of BMD. The VDR genotype also affects peak bone density. Exercise has been shown to increase BMD in a similar way for each VDR genotype including those women who have the particular genotype associated with low bone density. This data indicate that there are complex gene-environmental interactions particularly in relation to menstrual history, exercise, and genetic factors during childhood/adolescence that may have implications for the development of adult BMD in women.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s002239900587", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1089641", 
        "issn": [
          "0171-967X", 
          "1432-0827"
        ], 
        "name": "Calcified Tissue International", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "64"
      }
    ], 
    "keywords": [
      "bone mineral density", 
      "peak bone density", 
      "bone density", 
      "menstrual dysfunction", 
      "VDR genotype", 
      "Japanese women", 
      "vitamin D receptor genotype", 
      "healthy young Japanese women", 
      "adult bone mineral density", 
      "peak bone mass", 
      "low bone density", 
      "significant independent predictors", 
      "childhood/adolescence", 
      "gene-environmental interactions", 
      "age of menarche", 
      "history of exercise", 
      "young Japanese women", 
      "independent predictors", 
      "menstrual history", 
      "bone mass", 
      "mineral density", 
      "complex gene-environmental interactions", 
      "receptor genotype", 
      "genetic factors", 
      "women", 
      "dysfunction", 
      "exercise", 
      "environmental factors", 
      "age", 
      "physical constitution", 
      "genotypes", 
      "particular genotype", 
      "factors", 
      "menarche", 
      "history", 
      "predictors", 
      "adolescence", 
      "correlation", 
      "similar way", 
      "mass", 
      "data", 
      "development", 
      "implications", 
      "interaction", 
      "relation", 
      "density", 
      "determination", 
      "way", 
      "constitution", 
      "D receptor (VDR) genotype"
    ], 
    "name": "Factors Affecting Peak Bone Density in Japanese Women", 
    "pagination": "107-111", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046632599"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s002239900587"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "9914316"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s002239900587", 
      "https://app.dimensions.ai/details/publication/pub.1046632599"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:11", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_347.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s002239900587"
  }
]
 

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/s002239900587'

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/s002239900587'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s002239900587'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s002239900587'


 

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

184 TRIPLES      21 PREDICATES      88 URIs      80 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s002239900587 schema:about N08fc6fc5490547b7aec990f262e4dfb6
2 N3d111cd2c1394a97a0b080c8c421027b
3 N591469d91b264be4831530b759be4af6
4 N75787107b78b4be5951044a1bda6909f
5 N7e642d33c6cc4acf91e748abc54a45b5
6 N9a7c8199c2e3438d9d34e2fafb571cc7
7 Nac3df27f0c8645fa9c52492afeace34d
8 Nb5898de17b4340ab97c2fb968d3eccaa
9 Nbabba2804c8b492a9b4cc92998acb851
10 Nd58270eb727e4e818046de60095007e6
11 Ne830a08ad42746808589dac5cfcc70fd
12 anzsrc-for:11
13 anzsrc-for:1103
14 schema:author Nd4e5810a5c5849fd922c1c794782473b
15 schema:datePublished 1999-02
16 schema:datePublishedReg 1999-02-01
17 schema:description Abstract. Both genetic and environmental factors have been shown to contribute to the determination of bone density. To clarify the interaction between genetic and environmental factors affecting peak bone mass, we investigated the correlation between bone mineral density (BMD) and physical constitution, vitamin D receptor (VDR) genotype, age, age of menarche, history of menstrual dysfunction, and exercise in 157 healthy young Japanese women. History of exercise and menstrual dysfunction were significant independent predictors of BMD. The VDR genotype also affects peak bone density. Exercise has been shown to increase BMD in a similar way for each VDR genotype including those women who have the particular genotype associated with low bone density. This data indicate that there are complex gene-environmental interactions particularly in relation to menstrual history, exercise, and genetic factors during childhood/adolescence that may have implications for the development of adult BMD in women.
18 schema:genre article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf N167a8a3038ac4369bc1b7b7136e1bdc5
22 N83205e6bfe5841baa27417f0b3fc6f4d
23 sg:journal.1089641
24 schema:keywords D receptor (VDR) genotype
25 Japanese women
26 VDR genotype
27 adolescence
28 adult bone mineral density
29 age
30 age of menarche
31 bone density
32 bone mass
33 bone mineral density
34 childhood/adolescence
35 complex gene-environmental interactions
36 constitution
37 correlation
38 data
39 density
40 determination
41 development
42 dysfunction
43 environmental factors
44 exercise
45 factors
46 gene-environmental interactions
47 genetic factors
48 genotypes
49 healthy young Japanese women
50 history
51 history of exercise
52 implications
53 independent predictors
54 interaction
55 low bone density
56 mass
57 menarche
58 menstrual dysfunction
59 menstrual history
60 mineral density
61 particular genotype
62 peak bone density
63 peak bone mass
64 physical constitution
65 predictors
66 receptor genotype
67 relation
68 significant independent predictors
69 similar way
70 vitamin D receptor genotype
71 way
72 women
73 young Japanese women
74 schema:name Factors Affecting Peak Bone Density in Japanese Women
75 schema:pagination 107-111
76 schema:productId N19763c53c0ac4613bc552d741ae2b5ea
77 N2113138d5e4b4f2bad453d0498756e75
78 Na133abcc4af0489c8ece378ac30a9fc5
79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046632599
80 https://doi.org/10.1007/s002239900587
81 schema:sdDatePublished 2022-01-01T18:11
82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
83 schema:sdPublisher N4a6ee510771c4d59acc22b88ff7b50ed
84 schema:url https://doi.org/10.1007/s002239900587
85 sgo:license sg:explorer/license/
86 sgo:sdDataset articles
87 rdf:type schema:ScholarlyArticle
88 N08fc6fc5490547b7aec990f262e4dfb6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Smoking
90 rdf:type schema:DefinedTerm
91 N095b9de787d7450eba000f9e878f5a19 rdf:first sg:person.01344452642.19
92 rdf:rest N5a1477ba53c442468a64c91d0dd29b3d
93 N167a8a3038ac4369bc1b7b7136e1bdc5 schema:volumeNumber 64
94 rdf:type schema:PublicationVolume
95 N19763c53c0ac4613bc552d741ae2b5ea schema:name doi
96 schema:value 10.1007/s002239900587
97 rdf:type schema:PropertyValue
98 N2113138d5e4b4f2bad453d0498756e75 schema:name dimensions_id
99 schema:value pub.1046632599
100 rdf:type schema:PropertyValue
101 N2f98c72bf1c84863b114512a6b3a7651 rdf:first sg:person.01133410506.43
102 rdf:rest N095b9de787d7450eba000f9e878f5a19
103 N3d111cd2c1394a97a0b080c8c421027b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Genotype
105 rdf:type schema:DefinedTerm
106 N4a6ee510771c4d59acc22b88ff7b50ed schema:name Springer Nature - SN SciGraph project
107 rdf:type schema:Organization
108 N591469d91b264be4831530b759be4af6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Alcohol Drinking
110 rdf:type schema:DefinedTerm
111 N5a1477ba53c442468a64c91d0dd29b3d rdf:first sg:person.01364065506.72
112 rdf:rest rdf:nil
113 N75787107b78b4be5951044a1bda6909f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Menstrual Cycle
115 rdf:type schema:DefinedTerm
116 N7e642d33c6cc4acf91e748abc54a45b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Receptors, Calcitriol
118 rdf:type schema:DefinedTerm
119 N83205e6bfe5841baa27417f0b3fc6f4d schema:issueNumber 2
120 rdf:type schema:PublicationIssue
121 N9a7c8199c2e3438d9d34e2fafb571cc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Japan
123 rdf:type schema:DefinedTerm
124 Na133abcc4af0489c8ece378ac30a9fc5 schema:name pubmed_id
125 schema:value 9914316
126 rdf:type schema:PropertyValue
127 Nac3df27f0c8645fa9c52492afeace34d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Female
129 rdf:type schema:DefinedTerm
130 Nae989f7ffb1b48d4aedaeef56f692198 rdf:first sg:person.01045662442.26
131 rdf:rest N2f98c72bf1c84863b114512a6b3a7651
132 Nb5898de17b4340ab97c2fb968d3eccaa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Adult
134 rdf:type schema:DefinedTerm
135 Nbabba2804c8b492a9b4cc92998acb851 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Bone Density
137 rdf:type schema:DefinedTerm
138 Nd4e5810a5c5849fd922c1c794782473b rdf:first sg:person.01015634525.50
139 rdf:rest Nae989f7ffb1b48d4aedaeef56f692198
140 Nd58270eb727e4e818046de60095007e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Humans
142 rdf:type schema:DefinedTerm
143 Ne830a08ad42746808589dac5cfcc70fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Exercise
145 rdf:type schema:DefinedTerm
146 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
147 schema:name Medical and Health Sciences
148 rdf:type schema:DefinedTerm
149 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
150 schema:name Clinical Sciences
151 rdf:type schema:DefinedTerm
152 sg:journal.1089641 schema:issn 0171-967X
153 1432-0827
154 schema:name Calcified Tissue International
155 schema:publisher Springer Nature
156 rdf:type schema:Periodical
157 sg:person.01015634525.50 schema:affiliation grid-institutes:grid.258269.2
158 schema:familyName Fujita
159 schema:givenName Y.
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015634525.50
161 rdf:type schema:Person
162 sg:person.01045662442.26 schema:affiliation grid-institutes:grid.258269.2
163 schema:familyName Katsumata
164 schema:givenName K.
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045662442.26
166 rdf:type schema:Person
167 sg:person.01133410506.43 schema:affiliation grid-institutes:grid.258269.2
168 schema:familyName Unno
169 schema:givenName A.
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133410506.43
171 rdf:type schema:Person
172 sg:person.01344452642.19 schema:affiliation grid-institutes:grid.258269.2
173 schema:familyName Tawa
174 schema:givenName T.
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344452642.19
176 rdf:type schema:Person
177 sg:person.01364065506.72 schema:affiliation grid-institutes:grid.258269.2
178 schema:familyName Tokita
179 schema:givenName A.
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364065506.72
181 rdf:type schema:Person
182 grid-institutes:grid.258269.2 schema:alternateName Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP
183 schema:name Department of Pediatrics, Juntendo University School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113, Japan, JP
184 rdf:type schema:Organization
 




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


...