Comparison of recruitment, retention, and compliance results for three children's exposure monitoring studies View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-07

AUTHORS

Ken Sexton

ABSTRACT

The School Health Initiative: Environment, Learning, Disease (SHIELD) study, the Minnesota Children's Pesticide Exposure Study (MNCPES), and the National Cooperative Inner-City Asthma Study (NCICAS) are three of the most intensive and invasive exposure-monitoring projects ever undertaken in children. An intrinsic facet of each study was the need to recruit children and their families, retain them for the duration of the project, and ensure that they completed monitoring protocols successfully. All of the studies used fiscal incentives to encourage participation, retention, and compliance. Recruitment rates varied from 40% in MNCPES, to 57% in SHIELD, to 64% in NCICAS, while retention rates varied from 85% in SHIELD, to 94% in MNCPES, to 95% in NCICAS. Rates of compliance with exposure sampling procedures were typically >80% for each study. For example, > or =85% of the enrolled children provided all requested urine samples (1 for NCICAS, 2 for SHIELD, 3 for MNCPES), and 82% of the children in SHIELD provided two out of two blood samples (optional in MNCPES and NCICAS). However, compliance rates were substantially lower (34% SHIELD, 40% NCICAS, not applicable to MNCPES) for the more complex and time-consuming protocol used to collect peak flow data. Overall, results demonstrate that it is practical and affordable to conduct demanding exposure-monitoring studies in children, including children from poor minority communities. More... »

PAGES

350

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.jea.7500410

DOI

http://dx.doi.org/10.1038/sj.jea.7500410

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023233606

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15523509


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": "African Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child Welfare", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child, Preschool", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cities", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Monitoring", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hispanic Americans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Minority Groups", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Patient Compliance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Patient Dropouts", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Patient Selection", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Poverty", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "The University of Texas Rio Grande Valley", 
          "id": "https://www.grid.ac/institutes/grid.449717.8", 
          "name": [
            "Division of Environmental and Occupational Health, University of Texas School of Public Health, Brownsville Regional Campus, 80 Fort Brown, RAHC Building, Brownsville, TX 78520-4956, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sexton", 
        "givenName": "Ken", 
        "id": "sg:person.01260134276.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260134276.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0197-2456(01)00171-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000381385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.jea.7500132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007116552", 
          "https://doi.org/10.1038/sj.jea.7500132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.jea.7500132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007116552", 
          "https://doi.org/10.1038/sj.jea.7500132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1099-0496(199710)24:4<237::aid-ppul3>3.0.co;2-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009872275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0197-2456(01)00177-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014045596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1382-6689(97)10020-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014956673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0197-2456(98)00032-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036183986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10473289.1998.10463703", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038182005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0197-2456(01)00172-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038708947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.jea.7500126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038711238", 
          "https://doi.org/10.1038/sj.jea.7500126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.jea.7500126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038711238", 
          "https://doi.org/10.1038/sj.jea.7500126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/pmed.1998.0367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040572259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mno.2000.102992", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040892288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.jea.7500142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043246095", 
          "https://doi.org/10.1038/sj.jea.7500142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.jea.7500142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043246095", 
          "https://doi.org/10.1038/sj.jea.7500142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.00108469", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064737041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.00108475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064737042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.00108475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064737042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.00108s3373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064737161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.00108s3475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064737178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.5781", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064741619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.6015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064741701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.6473", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064741832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.91.11.1832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068878018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1602356", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069560842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082962987", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.106-1533080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083274750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.106-1533081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083672708"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-07", 
    "datePublishedReg": "2005-07-01", 
    "description": "The School Health Initiative: Environment, Learning, Disease (SHIELD) study, the Minnesota Children's Pesticide Exposure Study (MNCPES), and the National Cooperative Inner-City Asthma Study (NCICAS) are three of the most intensive and invasive exposure-monitoring projects ever undertaken in children. An intrinsic facet of each study was the need to recruit children and their families, retain them for the duration of the project, and ensure that they completed monitoring protocols successfully. All of the studies used fiscal incentives to encourage participation, retention, and compliance. Recruitment rates varied from 40% in MNCPES, to 57% in SHIELD, to 64% in NCICAS, while retention rates varied from 85% in SHIELD, to 94% in MNCPES, to 95% in NCICAS. Rates of compliance with exposure sampling procedures were typically >80% for each study. For example, > or =85% of the enrolled children provided all requested urine samples (1 for NCICAS, 2 for SHIELD, 3 for MNCPES), and 82% of the children in SHIELD provided two out of two blood samples (optional in MNCPES and NCICAS). However, compliance rates were substantially lower (34% SHIELD, 40% NCICAS, not applicable to MNCPES) for the more complex and time-consuming protocol used to collect peak flow data. Overall, results demonstrate that it is practical and affordable to conduct demanding exposure-monitoring studies in children, including children from poor minority communities.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/sj.jea.7500410", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4597158", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4594409", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1036306", 
        "issn": [
          "1559-0631", 
          "1559-064X"
        ], 
        "name": "Journal of Exposure Science & Environmental Epidemiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Comparison of recruitment, retention, and compliance results for three children's exposure monitoring studies", 
    "pagination": "350", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6eb0b1b88ca6305253cd2020fc04c92fe6ae03fed5dd2b061ae26581f5669921"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "15523509"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9111438"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sj.jea.7500410"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023233606"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sj.jea.7500410", 
      "https://app.dimensions.ai/details/publication/pub.1023233606"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:24", 
    "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/v90/0000000362_0000000362/records_87097_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/7500410"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/sj.jea.7500410'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/sj.jea.7500410'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.jea.7500410'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.jea.7500410'


 

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

203 TRIPLES      21 PREDICATES      67 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sj.jea.7500410 schema:about N027e1823bc04427bb34df760ae68f8c6
2 N43c97c6bcc98408c85c71ba0b441e620
3 N537d5f74b67247d1bc4b98f33da26a33
4 N575f41598b994f17a4f961275c78e040
5 N6947082970ff4452ba3b0ff122fec78e
6 N701ca12c5d96449dbc519fd254b878f3
7 N87f5fca374d64117b57cfe5fa1bad90c
8 N8a504eb1cab14276b3cabbdcba3135a6
9 N972e25bce7b34ff48b127252f57f4b7f
10 Na943c007e83e412c85054c9448875a43
11 Nbcd4c91d8e8d48f788ca3b4b017952a8
12 Ne136198731044b6da14b627c8ec22e24
13 Ne8ad233ca9a64a57a6b6fb69ffdc4eec
14 Nee539d7978114f51be395bb2e9c761b9
15 anzsrc-for:11
16 anzsrc-for:1117
17 schema:author N6c6de86a3ac140a892c8dd8f05cbbe78
18 schema:citation sg:pub.10.1038/sj.jea.7500126
19 sg:pub.10.1038/sj.jea.7500132
20 sg:pub.10.1038/sj.jea.7500142
21 https://app.dimensions.ai/details/publication/pub.1082962987
22 https://doi.org/10.1002/(sici)1099-0496(199710)24:4<237::aid-ppul3>3.0.co;2-h
23 https://doi.org/10.1006/pmed.1998.0367
24 https://doi.org/10.1016/s0197-2456(01)00171-4
25 https://doi.org/10.1016/s0197-2456(01)00172-6
26 https://doi.org/10.1016/s0197-2456(01)00177-5
27 https://doi.org/10.1016/s0197-2456(98)00032-4
28 https://doi.org/10.1016/s1382-6689(97)10020-5
29 https://doi.org/10.1067/mno.2000.102992
30 https://doi.org/10.1080/10473289.1998.10463703
31 https://doi.org/10.1289/ehp.00108469
32 https://doi.org/10.1289/ehp.00108475
33 https://doi.org/10.1289/ehp.00108s3373
34 https://doi.org/10.1289/ehp.00108s3475
35 https://doi.org/10.1289/ehp.106-1533080
36 https://doi.org/10.1289/ehp.106-1533081
37 https://doi.org/10.1289/ehp.5781
38 https://doi.org/10.1289/ehp.6015
39 https://doi.org/10.1289/ehp.6473
40 https://doi.org/10.2105/ajph.91.11.1832
41 https://doi.org/10.2307/1602356
42 schema:datePublished 2005-07
43 schema:datePublishedReg 2005-07-01
44 schema:description The School Health Initiative: Environment, Learning, Disease (SHIELD) study, the Minnesota Children's Pesticide Exposure Study (MNCPES), and the National Cooperative Inner-City Asthma Study (NCICAS) are three of the most intensive and invasive exposure-monitoring projects ever undertaken in children. An intrinsic facet of each study was the need to recruit children and their families, retain them for the duration of the project, and ensure that they completed monitoring protocols successfully. All of the studies used fiscal incentives to encourage participation, retention, and compliance. Recruitment rates varied from 40% in MNCPES, to 57% in SHIELD, to 64% in NCICAS, while retention rates varied from 85% in SHIELD, to 94% in MNCPES, to 95% in NCICAS. Rates of compliance with exposure sampling procedures were typically >80% for each study. For example, > or =85% of the enrolled children provided all requested urine samples (1 for NCICAS, 2 for SHIELD, 3 for MNCPES), and 82% of the children in SHIELD provided two out of two blood samples (optional in MNCPES and NCICAS). However, compliance rates were substantially lower (34% SHIELD, 40% NCICAS, not applicable to MNCPES) for the more complex and time-consuming protocol used to collect peak flow data. Overall, results demonstrate that it is practical and affordable to conduct demanding exposure-monitoring studies in children, including children from poor minority communities.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree true
48 schema:isPartOf N47fdada451a54a00b931deac9690b394
49 Nf2e6253db2244e549a9444aec3d922d5
50 sg:journal.1036306
51 schema:name Comparison of recruitment, retention, and compliance results for three children's exposure monitoring studies
52 schema:pagination 350
53 schema:productId N11ef17e36ad347cdaed26d77298b502e
54 N3427cc80734f4a6993263a12cbf50cdb
55 N3a9e9611fec34586921a86da11759c72
56 N3d1de69a24a440e1bb7934db87285130
57 Nc3be5091f0654c4686a7c9ab7feb63d0
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023233606
59 https://doi.org/10.1038/sj.jea.7500410
60 schema:sdDatePublished 2019-04-11T12:24
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N5692d6b0c864456daf6f720ecfe5a87a
63 schema:url https://www.nature.com/articles/7500410
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N027e1823bc04427bb34df760ae68f8c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Environmental Monitoring
69 rdf:type schema:DefinedTerm
70 N11ef17e36ad347cdaed26d77298b502e schema:name readcube_id
71 schema:value 6eb0b1b88ca6305253cd2020fc04c92fe6ae03fed5dd2b061ae26581f5669921
72 rdf:type schema:PropertyValue
73 N3427cc80734f4a6993263a12cbf50cdb schema:name nlm_unique_id
74 schema:value 9111438
75 rdf:type schema:PropertyValue
76 N3a9e9611fec34586921a86da11759c72 schema:name dimensions_id
77 schema:value pub.1023233606
78 rdf:type schema:PropertyValue
79 N3d1de69a24a440e1bb7934db87285130 schema:name pubmed_id
80 schema:value 15523509
81 rdf:type schema:PropertyValue
82 N43c97c6bcc98408c85c71ba0b441e620 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Minority Groups
84 rdf:type schema:DefinedTerm
85 N47fdada451a54a00b931deac9690b394 schema:volumeNumber 15
86 rdf:type schema:PublicationVolume
87 N537d5f74b67247d1bc4b98f33da26a33 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Hispanic Americans
89 rdf:type schema:DefinedTerm
90 N5692d6b0c864456daf6f720ecfe5a87a schema:name Springer Nature - SN SciGraph project
91 rdf:type schema:Organization
92 N575f41598b994f17a4f961275c78e040 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Patient Compliance
94 rdf:type schema:DefinedTerm
95 N6947082970ff4452ba3b0ff122fec78e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Child
97 rdf:type schema:DefinedTerm
98 N6c6de86a3ac140a892c8dd8f05cbbe78 rdf:first sg:person.01260134276.05
99 rdf:rest rdf:nil
100 N701ca12c5d96449dbc519fd254b878f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Patient Selection
102 rdf:type schema:DefinedTerm
103 N87f5fca374d64117b57cfe5fa1bad90c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name African Continental Ancestry Group
105 rdf:type schema:DefinedTerm
106 N8a504eb1cab14276b3cabbdcba3135a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Patient Dropouts
108 rdf:type schema:DefinedTerm
109 N972e25bce7b34ff48b127252f57f4b7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Poverty
111 rdf:type schema:DefinedTerm
112 Na943c007e83e412c85054c9448875a43 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Adolescent
114 rdf:type schema:DefinedTerm
115 Nbcd4c91d8e8d48f788ca3b4b017952a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Cities
117 rdf:type schema:DefinedTerm
118 Nc3be5091f0654c4686a7c9ab7feb63d0 schema:name doi
119 schema:value 10.1038/sj.jea.7500410
120 rdf:type schema:PropertyValue
121 Ne136198731044b6da14b627c8ec22e24 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Child, Preschool
123 rdf:type schema:DefinedTerm
124 Ne8ad233ca9a64a57a6b6fb69ffdc4eec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Humans
126 rdf:type schema:DefinedTerm
127 Nee539d7978114f51be395bb2e9c761b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Child Welfare
129 rdf:type schema:DefinedTerm
130 Nf2e6253db2244e549a9444aec3d922d5 schema:issueNumber 4
131 rdf:type schema:PublicationIssue
132 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
133 schema:name Medical and Health Sciences
134 rdf:type schema:DefinedTerm
135 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
136 schema:name Public Health and Health Services
137 rdf:type schema:DefinedTerm
138 sg:grant.4594409 http://pending.schema.org/fundedItem sg:pub.10.1038/sj.jea.7500410
139 rdf:type schema:MonetaryGrant
140 sg:grant.4597158 http://pending.schema.org/fundedItem sg:pub.10.1038/sj.jea.7500410
141 rdf:type schema:MonetaryGrant
142 sg:journal.1036306 schema:issn 1559-0631
143 1559-064X
144 schema:name Journal of Exposure Science & Environmental Epidemiology
145 rdf:type schema:Periodical
146 sg:person.01260134276.05 schema:affiliation https://www.grid.ac/institutes/grid.449717.8
147 schema:familyName Sexton
148 schema:givenName Ken
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260134276.05
150 rdf:type schema:Person
151 sg:pub.10.1038/sj.jea.7500126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038711238
152 https://doi.org/10.1038/sj.jea.7500126
153 rdf:type schema:CreativeWork
154 sg:pub.10.1038/sj.jea.7500132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007116552
155 https://doi.org/10.1038/sj.jea.7500132
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/sj.jea.7500142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043246095
158 https://doi.org/10.1038/sj.jea.7500142
159 rdf:type schema:CreativeWork
160 https://app.dimensions.ai/details/publication/pub.1082962987 schema:CreativeWork
161 https://doi.org/10.1002/(sici)1099-0496(199710)24:4<237::aid-ppul3>3.0.co;2-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1009872275
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1006/pmed.1998.0367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040572259
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/s0197-2456(01)00171-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000381385
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/s0197-2456(01)00172-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038708947
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/s0197-2456(01)00177-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014045596
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/s0197-2456(98)00032-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036183986
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/s1382-6689(97)10020-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014956673
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1067/mno.2000.102992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040892288
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1080/10473289.1998.10463703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038182005
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1289/ehp.00108469 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064737041
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1289/ehp.00108475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064737042
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1289/ehp.00108s3373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064737161
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1289/ehp.00108s3475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064737178
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1289/ehp.106-1533080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083274750
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1289/ehp.106-1533081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083672708
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1289/ehp.5781 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064741619
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1289/ehp.6015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064741701
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1289/ehp.6473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064741832
196 rdf:type schema:CreativeWork
197 https://doi.org/10.2105/ajph.91.11.1832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068878018
198 rdf:type schema:CreativeWork
199 https://doi.org/10.2307/1602356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069560842
200 rdf:type schema:CreativeWork
201 https://www.grid.ac/institutes/grid.449717.8 schema:alternateName The University of Texas Rio Grande Valley
202 schema:name Division of Environmental and Occupational Health, University of Texas School of Public Health, Brownsville Regional Campus, 80 Fort Brown, RAHC Building, Brownsville, TX 78520-4956, USA
203 rdf:type schema:Organization
 




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


...