Identifying older Chinese immigrants at high risk for osteoporosis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2003-07

AUTHORS

Diane S. Lauderdale, Victoria Kuohung, Suey-Lee Chang, Marshall H. Chin

ABSTRACT

BACKGROUND: Data about whether Asian Americans are a high-risk or a low-risk group for osteoporosis are limited and inconsistent. Few previous studies have recognized that the heterogeneity of the Asian American population, with respect to both nativity (foreign- vs U.S.-born) and ethnicity, may be related to osteoporosis risk. OBJECTIVE: To assess whether older foreign-born Chinese Americans living in an urban ethnic enclave are at high risk of osteoporosis and to refer participants at high risk for follow-up care. DESIGN: Cross-sectional survey and osteoporosis screening, undertaken as a collaborative project by the Chinese American Service League and researchers at the University of Chicago. SETTING: Chicago's Chinatown. PARTICIPANTS: Four hundred sixty-nine immigrant Chinese American men and women aged 50 and older. MEASUREMENTS AND MAIN RESULTS: Chinese Americans in this urban setting are generally recent immigrants from south China with limited education and resources: mean age at immigration was 54, 56% had primary only or no education, and 57% reported "fair" or "poor" self-rated health. Eighteen percent are uninsured and 55% receive Medicaid. Bone mineral density (BMD) of the calcaneus was estimated using quantitative ultrasound. Immigrant Chinese women in the study had lower average BMD than reference data for white women or U.S.-born Asian Americans. BMD for immigrant Chinese men in the study was similar to white men at ages 50 to 69, and lower at older ages. Low body mass index, low educational attainment and older age at immigration were all associated with lower BMD. CONCLUSIONS: Foreign-born Chinese Americans may be a high-risk group for osteoporosis. More... »

PAGES

508-515

Identifiers

URI

http://scigraph.springernature.com/pub.10.1046/j.1525-1497.2003.20331.x

DOI

http://dx.doi.org/10.1046/j.1525-1497.2003.20331.x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052356629

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12848833


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Density", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Diseases, Metabolic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chicago", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "China", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional 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": "Interinstitutional Relations", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Osteoporosis, Postmenopausal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prevalence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Health Studies, University of Chicago, 5841 S. Maryland Ave., MC2007, 60637, Chicago, IL", 
            "Population Research Center and Center on Aging, University of Chicago, Chicago, Ill"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lauderdale", 
        "givenName": "Diane S.", 
        "id": "sg:person.01015523303.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015523303.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Chinese American Service League, Chicago, Ill"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuohung", 
        "givenName": "Victoria", 
        "id": "sg:person.01031057373.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031057373.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Chinese American Service League, Chicago, Ill"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chang", 
        "givenName": "Suey-Lee", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chicago", 
          "id": "https://www.grid.ac/institutes/grid.170205.1", 
          "name": [
            "Population Research Center and Center on Aging, University of Chicago, Chicago, Ill", 
            "Department of Medicine, University of Chicago, Chicago, Ill"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chin", 
        "givenName": "Marshall H.", 
        "id": "sg:person.01142225555.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142225555.07"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1046/j.1365-2281.1998.00067.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002253235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001980050171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005042539", 
          "https://doi.org/10.1007/s001980050171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.286.22.2815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008109868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001980050093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011608733", 
          "https://doi.org/10.1007/s001980050093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001980170083", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011620936", 
          "https://doi.org/10.1007/s001980170083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1525-1446.1998.tb00367.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014668796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650111023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022077355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650111023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022077355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/01612849709012488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024710197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-3956(75)90026-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027523106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(98)00104-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030482257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001980070121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034224812", 
          "https://doi.org/10.1007/s001980070121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001980050153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036868710", 
          "https://doi.org/10.1007/s001980050153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.1997.12.11.1761", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037658214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.so.21.080195.002223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038290263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s0022330001142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044482558", 
          "https://doi.org/10.1007/s0022330001142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002239900137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045223442", 
          "https://doi.org/10.1007/s002239900137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1018742505785", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046484064", 
          "https://doi.org/10.1023/a:1018742505785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/geront/35.6.753", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059634732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hsw/23.2.136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059646934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-200005000-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-200005000-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-200005000-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074586619", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074660403", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076981923", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083128460", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083170349", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083184518", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2003-07", 
    "datePublishedReg": "2003-07-01", 
    "description": "BACKGROUND: Data about whether Asian Americans are a high-risk or a low-risk group for osteoporosis are limited and inconsistent. Few previous studies have recognized that the heterogeneity of the Asian American population, with respect to both nativity (foreign- vs U.S.-born) and ethnicity, may be related to osteoporosis risk.\nOBJECTIVE: To assess whether older foreign-born Chinese Americans living in an urban ethnic enclave are at high risk of osteoporosis and to refer participants at high risk for follow-up care.\nDESIGN: Cross-sectional survey and osteoporosis screening, undertaken as a collaborative project by the Chinese American Service League and researchers at the University of Chicago.\nSETTING: Chicago's Chinatown.\nPARTICIPANTS: Four hundred sixty-nine immigrant Chinese American men and women aged 50 and older.\nMEASUREMENTS AND MAIN RESULTS: Chinese Americans in this urban setting are generally recent immigrants from south China with limited education and resources: mean age at immigration was 54, 56% had primary only or no education, and 57% reported \"fair\" or \"poor\" self-rated health. Eighteen percent are uninsured and 55% receive Medicaid. Bone mineral density (BMD) of the calcaneus was estimated using quantitative ultrasound. Immigrant Chinese women in the study had lower average BMD than reference data for white women or U.S.-born Asian Americans. BMD for immigrant Chinese men in the study was similar to white men at ages 50 to 69, and lower at older ages. Low body mass index, low educational attainment and older age at immigration were all associated with lower BMD.\nCONCLUSIONS: Foreign-born Chinese Americans may be a high-risk group for osteoporosis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1046/j.1525-1497.2003.20331.x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2438605", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1096256", 
        "issn": [
          "0884-8734", 
          "1525-1497"
        ], 
        "name": "Journal of General Internal Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Identifying older Chinese immigrants at high risk for osteoporosis", 
    "pagination": "508-515", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f9644d1becc64e71ca366b3e651d9551602f16eb5916dcf269272a7debfa4e09"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "12848833"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8605834"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1046/j.1525-1497.2003.20331.x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052356629"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1046/j.1525-1497.2003.20331.x", 
      "https://app.dimensions.ai/details/publication/pub.1052356629"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:13", 
    "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_8659_00000501.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1046/j.1525-1497.2003.20331.x"
  }
]
 

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.10.1046/j.1525-1497.2003.20331.x'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1046/j.1525-1497.2003.20331.x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1046/j.1525-1497.2003.20331.x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1046/j.1525-1497.2003.20331.x'


 

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

235 TRIPLES      21 PREDICATES      69 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1046/j.1525-1497.2003.20331.x schema:about N1394d05161254f7c8593d92a04170555
2 N170e00e114db4ffa83ace1ccbb6132a3
3 N1e8f0a2d32d84481822a974313bb235d
4 N3f9383be62a049b48d27719219556278
5 N438da5edb9fa4212a047b0ff642a7390
6 N5d9d1d97c69b429c8580f17f57eaf142
7 N7256f2aff02a41b1baab2d6b6a824d6c
8 Na8fdc34633dc4d69b45f64067cc10fa4
9 Naa1ef442e70f497badcd27b0f787989c
10 Nac399dd8e65d4953826347bcc8231d4e
11 Nbbeeff9fbbf646a59f738eb77f19f5a5
12 Nc4e5e25b27544333aa09e815120f2185
13 Nda9616cf05be4599b3776a25ba47616f
14 Nddaa88bacd734bbe8f5019947b40c0bb
15 anzsrc-for:11
16 anzsrc-for:1103
17 schema:author N3a76488a050547ffbcfb4ea61714eb45
18 schema:citation sg:pub.10.1007/s001980050093
19 sg:pub.10.1007/s001980050153
20 sg:pub.10.1007/s001980050171
21 sg:pub.10.1007/s001980070121
22 sg:pub.10.1007/s001980170083
23 sg:pub.10.1007/s0022330001142
24 sg:pub.10.1007/s002239900137
25 sg:pub.10.1023/a:1018742505785
26 https://app.dimensions.ai/details/publication/pub.1074586619
27 https://app.dimensions.ai/details/publication/pub.1074660403
28 https://app.dimensions.ai/details/publication/pub.1076981923
29 https://app.dimensions.ai/details/publication/pub.1083128460
30 https://app.dimensions.ai/details/publication/pub.1083170349
31 https://app.dimensions.ai/details/publication/pub.1083184518
32 https://doi.org/10.1001/jama.286.22.2815
33 https://doi.org/10.1002/jbmr.5650111023
34 https://doi.org/10.1016/0022-3956(75)90026-6
35 https://doi.org/10.1016/s0895-4356(98)00104-8
36 https://doi.org/10.1046/j.1365-2281.1998.00067.x
37 https://doi.org/10.1093/geront/35.6.753
38 https://doi.org/10.1093/hsw/23.2.136
39 https://doi.org/10.1097/00005650-200005000-00010
40 https://doi.org/10.1111/j.1525-1446.1998.tb00367.x
41 https://doi.org/10.1146/annurev.so.21.080195.002223
42 https://doi.org/10.1359/jbmr.1997.12.11.1761
43 https://doi.org/10.3109/01612849709012488
44 schema:datePublished 2003-07
45 schema:datePublishedReg 2003-07-01
46 schema:description BACKGROUND: Data about whether Asian Americans are a high-risk or a low-risk group for osteoporosis are limited and inconsistent. Few previous studies have recognized that the heterogeneity of the Asian American population, with respect to both nativity (foreign- vs U.S.-born) and ethnicity, may be related to osteoporosis risk. OBJECTIVE: To assess whether older foreign-born Chinese Americans living in an urban ethnic enclave are at high risk of osteoporosis and to refer participants at high risk for follow-up care. DESIGN: Cross-sectional survey and osteoporosis screening, undertaken as a collaborative project by the Chinese American Service League and researchers at the University of Chicago. SETTING: Chicago's Chinatown. PARTICIPANTS: Four hundred sixty-nine immigrant Chinese American men and women aged 50 and older. MEASUREMENTS AND MAIN RESULTS: Chinese Americans in this urban setting are generally recent immigrants from south China with limited education and resources: mean age at immigration was 54, 56% had primary only or no education, and 57% reported "fair" or "poor" self-rated health. Eighteen percent are uninsured and 55% receive Medicaid. Bone mineral density (BMD) of the calcaneus was estimated using quantitative ultrasound. Immigrant Chinese women in the study had lower average BMD than reference data for white women or U.S.-born Asian Americans. BMD for immigrant Chinese men in the study was similar to white men at ages 50 to 69, and lower at older ages. Low body mass index, low educational attainment and older age at immigration were all associated with lower BMD. CONCLUSIONS: Foreign-born Chinese Americans may be a high-risk group for osteoporosis.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree true
50 schema:isPartOf N039be71ef4be4b41b532b9413363fcc3
51 N7b142c77fb1d4c33af2db48c4ad06ce7
52 sg:journal.1096256
53 schema:name Identifying older Chinese immigrants at high risk for osteoporosis
54 schema:pagination 508-515
55 schema:productId Nba82605094ae43adbaf3ada742b9aaef
56 Nbafd3a96735242fea4dcb3b3fe4b4058
57 Nd038fbdcb82e4a44a97b93a04b6ee554
58 Nde3e353f617a4d2c98829a7d4901e5d9
59 Nea312877c7b2484885d29925fe496ad1
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052356629
61 https://doi.org/10.1046/j.1525-1497.2003.20331.x
62 schema:sdDatePublished 2019-04-10T13:13
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N739148e830a74e51bdd202fd88f3b82b
65 schema:url http://link.springer.com/10.1046/j.1525-1497.2003.20331.x
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N039be71ef4be4b41b532b9413363fcc3 schema:issueNumber 7
70 rdf:type schema:PublicationIssue
71 N1394d05161254f7c8593d92a04170555 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Cross-Sectional Studies
73 rdf:type schema:DefinedTerm
74 N170e00e114db4ffa83ace1ccbb6132a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Middle Aged
76 rdf:type schema:DefinedTerm
77 N1e8f0a2d32d84481822a974313bb235d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Chicago
79 rdf:type schema:DefinedTerm
80 N267331741fbd4316886e7ccad885a21e schema:name Department of Health Studies, University of Chicago, 5841 S. Maryland Ave., MC2007, 60637, Chicago, IL
81 Population Research Center and Center on Aging, University of Chicago, Chicago, Ill
82 rdf:type schema:Organization
83 N3a76488a050547ffbcfb4ea61714eb45 rdf:first sg:person.01015523303.66
84 rdf:rest N6930b88a46c0444dac5e17de1d471327
85 N3f9383be62a049b48d27719219556278 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Osteoporosis, Postmenopausal
87 rdf:type schema:DefinedTerm
88 N438da5edb9fa4212a047b0ff642a7390 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Aged, 80 and over
90 rdf:type schema:DefinedTerm
91 N48971b60e75d44878fba17fdac867084 schema:affiliation N8488bddd4a994ac4886881682ffda46c
92 schema:familyName Chang
93 schema:givenName Suey-Lee
94 rdf:type schema:Person
95 N5d9d1d97c69b429c8580f17f57eaf142 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Interinstitutional Relations
97 rdf:type schema:DefinedTerm
98 N6930b88a46c0444dac5e17de1d471327 rdf:first sg:person.01031057373.42
99 rdf:rest N9ef920dc972d412faf4d229b4af2f6a3
100 N7256f2aff02a41b1baab2d6b6a824d6c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Humans
102 rdf:type schema:DefinedTerm
103 N739148e830a74e51bdd202fd88f3b82b schema:name Springer Nature - SN SciGraph project
104 rdf:type schema:Organization
105 N7b142c77fb1d4c33af2db48c4ad06ce7 schema:volumeNumber 18
106 rdf:type schema:PublicationVolume
107 N8488bddd4a994ac4886881682ffda46c schema:name Chinese American Service League, Chicago, Ill
108 rdf:type schema:Organization
109 N8789b093f628448aa32397353ef6d9b4 rdf:first sg:person.01142225555.07
110 rdf:rest rdf:nil
111 N9ef920dc972d412faf4d229b4af2f6a3 rdf:first N48971b60e75d44878fba17fdac867084
112 rdf:rest N8789b093f628448aa32397353ef6d9b4
113 Na8fdc34633dc4d69b45f64067cc10fa4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Aged
115 rdf:type schema:DefinedTerm
116 Naa1ef442e70f497badcd27b0f787989c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name China
118 rdf:type schema:DefinedTerm
119 Nac399dd8e65d4953826347bcc8231d4e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Risk Assessment
121 rdf:type schema:DefinedTerm
122 Nba82605094ae43adbaf3ada742b9aaef schema:name nlm_unique_id
123 schema:value 8605834
124 rdf:type schema:PropertyValue
125 Nbafd3a96735242fea4dcb3b3fe4b4058 schema:name readcube_id
126 schema:value f9644d1becc64e71ca366b3e651d9551602f16eb5916dcf269272a7debfa4e09
127 rdf:type schema:PropertyValue
128 Nbbeeff9fbbf646a59f738eb77f19f5a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Bone Density
130 rdf:type schema:DefinedTerm
131 Nc4e5e25b27544333aa09e815120f2185 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Bone Diseases, Metabolic
133 rdf:type schema:DefinedTerm
134 Nce76d5a446404aeb83b716cfdd4e2fb2 schema:name Chinese American Service League, Chicago, Ill
135 rdf:type schema:Organization
136 Nd038fbdcb82e4a44a97b93a04b6ee554 schema:name dimensions_id
137 schema:value pub.1052356629
138 rdf:type schema:PropertyValue
139 Nda9616cf05be4599b3776a25ba47616f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Prevalence
141 rdf:type schema:DefinedTerm
142 Nddaa88bacd734bbe8f5019947b40c0bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Female
144 rdf:type schema:DefinedTerm
145 Nde3e353f617a4d2c98829a7d4901e5d9 schema:name pubmed_id
146 schema:value 12848833
147 rdf:type schema:PropertyValue
148 Nea312877c7b2484885d29925fe496ad1 schema:name doi
149 schema:value 10.1046/j.1525-1497.2003.20331.x
150 rdf:type schema:PropertyValue
151 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
152 schema:name Medical and Health Sciences
153 rdf:type schema:DefinedTerm
154 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
155 schema:name Clinical Sciences
156 rdf:type schema:DefinedTerm
157 sg:grant.2438605 http://pending.schema.org/fundedItem sg:pub.10.1046/j.1525-1497.2003.20331.x
158 rdf:type schema:MonetaryGrant
159 sg:journal.1096256 schema:issn 0884-8734
160 1525-1497
161 schema:name Journal of General Internal Medicine
162 rdf:type schema:Periodical
163 sg:person.01015523303.66 schema:affiliation N267331741fbd4316886e7ccad885a21e
164 schema:familyName Lauderdale
165 schema:givenName Diane S.
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015523303.66
167 rdf:type schema:Person
168 sg:person.01031057373.42 schema:affiliation Nce76d5a446404aeb83b716cfdd4e2fb2
169 schema:familyName Kuohung
170 schema:givenName Victoria
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031057373.42
172 rdf:type schema:Person
173 sg:person.01142225555.07 schema:affiliation https://www.grid.ac/institutes/grid.170205.1
174 schema:familyName Chin
175 schema:givenName Marshall H.
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142225555.07
177 rdf:type schema:Person
178 sg:pub.10.1007/s001980050093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011608733
179 https://doi.org/10.1007/s001980050093
180 rdf:type schema:CreativeWork
181 sg:pub.10.1007/s001980050153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036868710
182 https://doi.org/10.1007/s001980050153
183 rdf:type schema:CreativeWork
184 sg:pub.10.1007/s001980050171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005042539
185 https://doi.org/10.1007/s001980050171
186 rdf:type schema:CreativeWork
187 sg:pub.10.1007/s001980070121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034224812
188 https://doi.org/10.1007/s001980070121
189 rdf:type schema:CreativeWork
190 sg:pub.10.1007/s001980170083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011620936
191 https://doi.org/10.1007/s001980170083
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/s0022330001142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044482558
194 https://doi.org/10.1007/s0022330001142
195 rdf:type schema:CreativeWork
196 sg:pub.10.1007/s002239900137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045223442
197 https://doi.org/10.1007/s002239900137
198 rdf:type schema:CreativeWork
199 sg:pub.10.1023/a:1018742505785 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046484064
200 https://doi.org/10.1023/a:1018742505785
201 rdf:type schema:CreativeWork
202 https://app.dimensions.ai/details/publication/pub.1074586619 schema:CreativeWork
203 https://app.dimensions.ai/details/publication/pub.1074660403 schema:CreativeWork
204 https://app.dimensions.ai/details/publication/pub.1076981923 schema:CreativeWork
205 https://app.dimensions.ai/details/publication/pub.1083128460 schema:CreativeWork
206 https://app.dimensions.ai/details/publication/pub.1083170349 schema:CreativeWork
207 https://app.dimensions.ai/details/publication/pub.1083184518 schema:CreativeWork
208 https://doi.org/10.1001/jama.286.22.2815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008109868
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1002/jbmr.5650111023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022077355
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/0022-3956(75)90026-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027523106
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/s0895-4356(98)00104-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030482257
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1046/j.1365-2281.1998.00067.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002253235
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1093/geront/35.6.753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059634732
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1093/hsw/23.2.136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059646934
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1097/00005650-200005000-00010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060223934
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1111/j.1525-1446.1998.tb00367.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014668796
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1146/annurev.so.21.080195.002223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038290263
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1359/jbmr.1997.12.11.1761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037658214
229 rdf:type schema:CreativeWork
230 https://doi.org/10.3109/01612849709012488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024710197
231 rdf:type schema:CreativeWork
232 https://www.grid.ac/institutes/grid.170205.1 schema:alternateName University of Chicago
233 schema:name Department of Medicine, University of Chicago, Chicago, Ill
234 Population Research Center and Center on Aging, University of Chicago, Chicago, Ill
235 rdf:type schema:Organization
 




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


...