Actigraphy Correctly Predicts Sleep Behavior in Infants Who Are Younger than Six Months, When Compared with Polysomnography View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-10

AUTHORS

KEVIN SO, PAT BUCKLEY, T MICHAEL ADAMSON, ROSEMARY S.C. HORNE

ABSTRACT

Actigraphy has been widely used in adults and children. In infants, validation of actigraphy has typically used a comparison with behaviorally determined sleep state classification rather than polysomnography (PSG). This study validated actigraphy against PSG for determining sleep and waking states in infants who were younger than 6 mo. Twenty-two healthy infants, 13 term and 9 preterm, were studied at three different matched postconceptional ages. Actigraph data were compared with PSG recordings in 1-min epochs. Agreement rate (AR), predictive value for sleep, predictive value for wake, sensitivity. and specificity were calculated and compared between activity thresholds and across ages with two-way ANOVA for repeated measures. Thirty-two validation studies were analyzed. Overall AR with PSG of 93.7 +/- 1.3 and 91.6 +/- 1.8 were obtained at 2-4 wk and 5-6 mo, respectively, at the low activity threshold setting, whereas the auto activity threshold gave the best agreement with PSG at 2-4 mo (AR 89.3 +/- 1.3%). Sensitivity values of 96.2 +/- 1.1% at 2-4 wk, 91.2 +/- 1.5% at 2-4 mo, and 94.0 +/- 1.9% were obtained at these same settings. There was no difference across ages in AR or sensitivity. PVW and specificity values were low in this study. We conclude that actigraphy is a valid method for monitoring sleep in infants who are younger than 6 mo. More... »

PAGES

761-765

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1203/01.pdr.0000180568.97221.56

DOI

http://dx.doi.org/10.1203/01.pdr.0000180568.97221.56

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001207732

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16189206


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Analysis of Variance", 
        "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": "Infant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Infant, Newborn", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Infant, Premature", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Monitoring, Physiologic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polysomnography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sleep", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sleep Stages", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sleep Wake Disorders", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Paediatrics and Ritchie Centre for Baby Health Research [K.S., T.M.A., R.S.C.H.], Monash University, Melbourne, Victoria, Australia 3168; and Discipline of Physiology [P.B.], School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, South Australia, Australia 5005"
          ], 
          "type": "Organization"
        }, 
        "familyName": "SO", 
        "givenName": "KEVIN", 
        "id": "sg:person.01043704473.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043704473.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Paediatrics and Ritchie Centre for Baby Health Research [K.S., T.M.A., R.S.C.H.], Monash University, Melbourne, Victoria, Australia 3168; and Discipline of Physiology [P.B.], School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, South Australia, Australia 5005"
          ], 
          "type": "Organization"
        }, 
        "familyName": "BUCKLEY", 
        "givenName": "PAT", 
        "id": "sg:person.0602551332.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602551332.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Paediatrics and Ritchie Centre for Baby Health Research [K.S., T.M.A., R.S.C.H.], Monash University, Melbourne, Victoria, Australia 3168; and Discipline of Physiology [P.B.], School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, South Australia, Australia 5005"
          ], 
          "type": "Organization"
        }, 
        "familyName": "ADAMSON", 
        "givenName": "T MICHAEL", 
        "id": "sg:person.0632603064.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632603064.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Paediatrics and Ritchie Centre for Baby Health Research [K.S., T.M.A., R.S.C.H.], Monash University, Melbourne, Victoria, Australia 3168; and Discipline of Physiology [P.B.], School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, South Australia, Australia 5005"
          ], 
          "type": "Organization"
        }, 
        "familyName": "HORNE", 
        "givenName": "ROSEMARY S.C.", 
        "id": "sg:person.010737122452.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010737122452.27"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1136/fn.87.2.f100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001674912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1389-9457(00)00098-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002522678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cppeds.2003.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020083344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0163-6383(95)90021-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023828532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1388-2457(02)00287-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041606820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1203/00006450-200004000-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064217240", 
          "https://doi.org/10.1203/00006450-200004000-00010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/sleep/24.8.957", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074969590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/sleep/15.5.461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076579524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078042762", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/sleep/18.4.288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082437121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082620111", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5694/j.1326-5377.1994.tb127383.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082620111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5694/j.1326-5377.1994.tb127383.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082620111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5694/j.1326-5377.1994.tb127383.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082620111"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-10", 
    "datePublishedReg": "2005-10-01", 
    "description": "Actigraphy has been widely used in adults and children. In infants, validation of actigraphy has typically used a comparison with behaviorally determined sleep state classification rather than polysomnography (PSG). This study validated actigraphy against PSG for determining sleep and waking states in infants who were younger than 6 mo. Twenty-two healthy infants, 13 term and 9 preterm, were studied at three different matched postconceptional ages. Actigraph data were compared with PSG recordings in 1-min epochs. Agreement rate (AR), predictive value for sleep, predictive value for wake, sensitivity. and specificity were calculated and compared between activity thresholds and across ages with two-way ANOVA for repeated measures. Thirty-two validation studies were analyzed. Overall AR with PSG of 93.7 +/- 1.3 and 91.6 +/- 1.8 were obtained at 2-4 wk and 5-6 mo, respectively, at the low activity threshold setting, whereas the auto activity threshold gave the best agreement with PSG at 2-4 mo (AR 89.3 +/- 1.3%). Sensitivity values of 96.2 +/- 1.1% at 2-4 wk, 91.2 +/- 1.5% at 2-4 mo, and 94.0 +/- 1.9% were obtained at these same settings. There was no difference across ages in AR or sensitivity. PVW and specificity values were low in this study. We conclude that actigraphy is a valid method for monitoring sleep in infants who are younger than 6 mo.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1203/01.pdr.0000180568.97221.56", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1007352", 
        "issn": [
          "0031-3998", 
          "1530-0447"
        ], 
        "name": "Pediatric Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "58"
      }
    ], 
    "name": "Actigraphy Correctly Predicts Sleep Behavior in Infants Who Are Younger than Six Months, When Compared with Polysomnography", 
    "pagination": "761-765", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "05c0d7fcdcada734b849a24bf62c217b6df40779b2bf53ee94006ce40978fda5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16189206"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0100714"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1203/01.pdr.0000180568.97221.56"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001207732"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1203/01.pdr.0000180568.97221.56", 
      "https://app.dimensions.ai/details/publication/pub.1001207732"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:10", 
    "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/v90/0000000367_0000000367/records_88248_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=0006450-200510000-00024"
  }
]
 

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.10.1203/01.pdr.0000180568.97221.56'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1203/01.pdr.0000180568.97221.56'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1203/01.pdr.0000180568.97221.56'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1203/01.pdr.0000180568.97221.56'


 

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

186 TRIPLES      21 PREDICATES      55 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1203/01.pdr.0000180568.97221.56 schema:about N0b9aab32f0e54e97a3a322301e8ab361
2 N1bb80fd5338843ef9da8a8d7145bd6c9
3 N293fe50ea24f4fd6b0b4a099908abcb7
4 N63b87bc833924dc681f99ea9e759c445
5 N7b64bbea1c8d466cb6865cd7dd496a1a
6 N8f3e8fd4aa6e46d5a4b7f73e039456aa
7 Nc6586c9efba74d7b9e200e424270a4e8
8 Nd044b670788b4711b03030b9c71139dd
9 Nebc14bc27625423488b3e2bd4c7bd906
10 Nef8b034a41bd4502a630310244d03cf4
11 Nf15d5cbb9c8f45ae8eebeb2d971f0ef2
12 Nf67bb34531554af9ad5993caac579c03
13 Nf92ef67d2952429b9848ce1d26f74346
14 Nfd3eab2d8adf4bfda2e8efe33c5e5ac4
15 anzsrc-for:17
16 anzsrc-for:1701
17 schema:author N376ce8820e784f60a10563285da3cea8
18 schema:citation sg:pub.10.1203/00006450-200004000-00010
19 https://app.dimensions.ai/details/publication/pub.1078042762
20 https://app.dimensions.ai/details/publication/pub.1082620111
21 https://doi.org/10.1016/0163-6383(95)90021-7
22 https://doi.org/10.1016/j.cppeds.2003.10.003
23 https://doi.org/10.1016/s1388-2457(02)00287-0
24 https://doi.org/10.1016/s1389-9457(00)00098-8
25 https://doi.org/10.1093/sleep/15.5.461
26 https://doi.org/10.1093/sleep/18.4.288
27 https://doi.org/10.1093/sleep/24.8.957
28 https://doi.org/10.1136/fn.87.2.f100
29 https://doi.org/10.5694/j.1326-5377.1994.tb127383.x
30 schema:datePublished 2005-10
31 schema:datePublishedReg 2005-10-01
32 schema:description Actigraphy has been widely used in adults and children. In infants, validation of actigraphy has typically used a comparison with behaviorally determined sleep state classification rather than polysomnography (PSG). This study validated actigraphy against PSG for determining sleep and waking states in infants who were younger than 6 mo. Twenty-two healthy infants, 13 term and 9 preterm, were studied at three different matched postconceptional ages. Actigraph data were compared with PSG recordings in 1-min epochs. Agreement rate (AR), predictive value for sleep, predictive value for wake, sensitivity. and specificity were calculated and compared between activity thresholds and across ages with two-way ANOVA for repeated measures. Thirty-two validation studies were analyzed. Overall AR with PSG of 93.7 +/- 1.3 and 91.6 +/- 1.8 were obtained at 2-4 wk and 5-6 mo, respectively, at the low activity threshold setting, whereas the auto activity threshold gave the best agreement with PSG at 2-4 mo (AR 89.3 +/- 1.3%). Sensitivity values of 96.2 +/- 1.1% at 2-4 wk, 91.2 +/- 1.5% at 2-4 mo, and 94.0 +/- 1.9% were obtained at these same settings. There was no difference across ages in AR or sensitivity. PVW and specificity values were low in this study. We conclude that actigraphy is a valid method for monitoring sleep in infants who are younger than 6 mo.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree true
36 schema:isPartOf N1b032e256efa4af99af429f8adec78f6
37 N92546a27b5144b4f880b24c55c8a7103
38 sg:journal.1007352
39 schema:name Actigraphy Correctly Predicts Sleep Behavior in Infants Who Are Younger than Six Months, When Compared with Polysomnography
40 schema:pagination 761-765
41 schema:productId N164b4862981d4dd79e615ca6f9010285
42 N1a697ec699d8421393f08772778be4f8
43 N3141cdfd5cce4983a7bc7b0f73058afa
44 Ndb71d87c0f9b4798a569ade0b1633f43
45 Ne796505a134440c3a9806f09df930c00
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001207732
47 https://doi.org/10.1203/01.pdr.0000180568.97221.56
48 schema:sdDatePublished 2019-04-11T13:10
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N139e5fb94e9a4d77a091850e4010c79d
51 schema:url http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=0006450-200510000-00024
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N0b9aab32f0e54e97a3a322301e8ab361 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
56 schema:name Humans
57 rdf:type schema:DefinedTerm
58 N139e5fb94e9a4d77a091850e4010c79d schema:name Springer Nature - SN SciGraph project
59 rdf:type schema:Organization
60 N164b4862981d4dd79e615ca6f9010285 schema:name pubmed_id
61 schema:value 16189206
62 rdf:type schema:PropertyValue
63 N1a697ec699d8421393f08772778be4f8 schema:name doi
64 schema:value 10.1203/01.pdr.0000180568.97221.56
65 rdf:type schema:PropertyValue
66 N1b032e256efa4af99af429f8adec78f6 schema:issueNumber 4
67 rdf:type schema:PublicationIssue
68 N1bb80fd5338843ef9da8a8d7145bd6c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Sleep
70 rdf:type schema:DefinedTerm
71 N293fe50ea24f4fd6b0b4a099908abcb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Female
73 rdf:type schema:DefinedTerm
74 N3141cdfd5cce4983a7bc7b0f73058afa schema:name readcube_id
75 schema:value 05c0d7fcdcada734b849a24bf62c217b6df40779b2bf53ee94006ce40978fda5
76 rdf:type schema:PropertyValue
77 N376ce8820e784f60a10563285da3cea8 rdf:first sg:person.01043704473.28
78 rdf:rest N909598cbd0ce4ca4b0d1e5e98786f3ee
79 N3d7c229c0b7b4c738720ac2d2bc1bc64 schema:name Department of Paediatrics and Ritchie Centre for Baby Health Research [K.S., T.M.A., R.S.C.H.], Monash University, Melbourne, Victoria, Australia 3168; and Discipline of Physiology [P.B.], School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, South Australia, Australia 5005
80 rdf:type schema:Organization
81 N63b87bc833924dc681f99ea9e759c445 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Infant, Premature
83 rdf:type schema:DefinedTerm
84 N65671ad096fa42808d1b5f8cec1b7672 schema:name Department of Paediatrics and Ritchie Centre for Baby Health Research [K.S., T.M.A., R.S.C.H.], Monash University, Melbourne, Victoria, Australia 3168; and Discipline of Physiology [P.B.], School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, South Australia, Australia 5005
85 rdf:type schema:Organization
86 N7b64bbea1c8d466cb6865cd7dd496a1a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Polysomnography
88 rdf:type schema:DefinedTerm
89 N8f3e8fd4aa6e46d5a4b7f73e039456aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Sensitivity and Specificity
91 rdf:type schema:DefinedTerm
92 N909598cbd0ce4ca4b0d1e5e98786f3ee rdf:first sg:person.0602551332.26
93 rdf:rest N927e3b6f881c4084bc7afd0a7de4ee0a
94 N92546a27b5144b4f880b24c55c8a7103 schema:volumeNumber 58
95 rdf:type schema:PublicationVolume
96 N927e3b6f881c4084bc7afd0a7de4ee0a rdf:first sg:person.0632603064.68
97 rdf:rest Nde7781623e2649cd8bfa223de1d344f5
98 Nc6586c9efba74d7b9e200e424270a4e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Infant, Newborn
100 rdf:type schema:DefinedTerm
101 Nd044b670788b4711b03030b9c71139dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Infant
103 rdf:type schema:DefinedTerm
104 Ndb71d87c0f9b4798a569ade0b1633f43 schema:name nlm_unique_id
105 schema:value 0100714
106 rdf:type schema:PropertyValue
107 Nde7781623e2649cd8bfa223de1d344f5 rdf:first sg:person.010737122452.27
108 rdf:rest rdf:nil
109 Ne10e5a89365444a4a36229fb5be5cfef schema:name Department of Paediatrics and Ritchie Centre for Baby Health Research [K.S., T.M.A., R.S.C.H.], Monash University, Melbourne, Victoria, Australia 3168; and Discipline of Physiology [P.B.], School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, South Australia, Australia 5005
110 rdf:type schema:Organization
111 Ne796505a134440c3a9806f09df930c00 schema:name dimensions_id
112 schema:value pub.1001207732
113 rdf:type schema:PropertyValue
114 Nebc14bc27625423488b3e2bd4c7bd906 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Monitoring, Physiologic
116 rdf:type schema:DefinedTerm
117 Nef8b034a41bd4502a630310244d03cf4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Sleep Wake Disorders
119 rdf:type schema:DefinedTerm
120 Nefae583a5fb745e897edcef7e7cedb59 schema:name Department of Paediatrics and Ritchie Centre for Baby Health Research [K.S., T.M.A., R.S.C.H.], Monash University, Melbourne, Victoria, Australia 3168; and Discipline of Physiology [P.B.], School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, South Australia, Australia 5005
121 rdf:type schema:Organization
122 Nf15d5cbb9c8f45ae8eebeb2d971f0ef2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Time Factors
124 rdf:type schema:DefinedTerm
125 Nf67bb34531554af9ad5993caac579c03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Male
127 rdf:type schema:DefinedTerm
128 Nf92ef67d2952429b9848ce1d26f74346 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Sleep Stages
130 rdf:type schema:DefinedTerm
131 Nfd3eab2d8adf4bfda2e8efe33c5e5ac4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Analysis of Variance
133 rdf:type schema:DefinedTerm
134 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
135 schema:name Psychology and Cognitive Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
138 schema:name Psychology
139 rdf:type schema:DefinedTerm
140 sg:journal.1007352 schema:issn 0031-3998
141 1530-0447
142 schema:name Pediatric Research
143 rdf:type schema:Periodical
144 sg:person.01043704473.28 schema:affiliation Nefae583a5fb745e897edcef7e7cedb59
145 schema:familyName SO
146 schema:givenName KEVIN
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043704473.28
148 rdf:type schema:Person
149 sg:person.010737122452.27 schema:affiliation Ne10e5a89365444a4a36229fb5be5cfef
150 schema:familyName HORNE
151 schema:givenName ROSEMARY S.C.
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010737122452.27
153 rdf:type schema:Person
154 sg:person.0602551332.26 schema:affiliation N3d7c229c0b7b4c738720ac2d2bc1bc64
155 schema:familyName BUCKLEY
156 schema:givenName PAT
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602551332.26
158 rdf:type schema:Person
159 sg:person.0632603064.68 schema:affiliation N65671ad096fa42808d1b5f8cec1b7672
160 schema:familyName ADAMSON
161 schema:givenName T MICHAEL
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632603064.68
163 rdf:type schema:Person
164 sg:pub.10.1203/00006450-200004000-00010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064217240
165 https://doi.org/10.1203/00006450-200004000-00010
166 rdf:type schema:CreativeWork
167 https://app.dimensions.ai/details/publication/pub.1078042762 schema:CreativeWork
168 https://app.dimensions.ai/details/publication/pub.1082620111 schema:CreativeWork
169 https://doi.org/10.1016/0163-6383(95)90021-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023828532
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.cppeds.2003.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020083344
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/s1388-2457(02)00287-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041606820
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/s1389-9457(00)00098-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002522678
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1093/sleep/15.5.461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076579524
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1093/sleep/18.4.288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082437121
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1093/sleep/24.8.957 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074969590
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1136/fn.87.2.f100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001674912
184 rdf:type schema:CreativeWork
185 https://doi.org/10.5694/j.1326-5377.1994.tb127383.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1082620111
186 rdf:type schema:CreativeWork
 




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


...