Decreased head circumference at birth associated with maternal tobacco smoke exposure during pregnancy on the Japanese prospective birth cohort study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-09-23

AUTHORS

Tadashi Shiohama, Aya Hisada, Midori Yamamoto, Kenichi Sakurai, Rieko Takatani, Katsunori Fujii, Naoki Shimojo, Chisato Mori

ABSTRACT

Maternal tobacco smoke exposure during pregnancy impairs fetal body size, including head circumference (HC) at birth; however, the mechanism still remains unclear. This analysis using a large prospective cohort study evaluated the impact of maternal tobacco exposure on their offspring’s HC and the relationship with placental weight ratio (PWR) and placental abnormalities. Parents-children pairs (n = 84,856) were included from the 104,065 records of the Japan Environmental and Children’s Study. Maternal perinatal clinical and social information by self-administered questionnaires, offspring’s body size, and placental information were collected. Data were analyzed with binominal logistic regression analysis and path analysis. Logistic regression showed significantly elevated adjusted odds ratio (aOR) (1.653, 95% CI 1.387–1.969) for the impact of maternal smoking during pregnancy on their offspring’s smaller HC at birth. Maternal exposure to environmental tobacco smoke in the non-smoking group did not increase aOR for the smaller HC. Path analysis showed that maternal smoking during pregnancy decreased the offspring’s HC directly, but not indirectly via PWR or placental abnormalities. The quitting smoking during pregnancy group did not increase aOR for the smaller HC than the non-smoking group, suggesting that quitting smoking may reduce their offspring’s neurological impairment even after pregnancy. More... »

PAGES

18949

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-021-98311-2

DOI

http://dx.doi.org/10.1038/s41598-021-98311-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1141321889

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34556740


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/2008/1114", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Paediatrics and Reproductive Medicine", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Birth Cohort", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Size", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cephalometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Datasets as Topic", 
        "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, Newborn", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Maternal Age", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Maternal Exposure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pregnancy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prenatal Exposure Delayed Effects", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tobacco Smoke Pollution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tobacco Smoking", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Pediatrics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136304.3", 
          "name": [
            "Department of Pediatrics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shiohama", 
        "givenName": "Tadashi", 
        "id": "sg:person.01225032236.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225032236.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136304.3", 
          "name": [
            "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hisada", 
        "givenName": "Aya", 
        "id": "sg:person.0700552704.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700552704.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136304.3", 
          "name": [
            "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamamoto", 
        "givenName": "Midori", 
        "id": "sg:person.015351410021.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015351410021.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136304.3", 
          "name": [
            "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakurai", 
        "givenName": "Kenichi", 
        "id": "sg:person.01063660401.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063660401.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136304.3", 
          "name": [
            "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takatani", 
        "givenName": "Rieko", 
        "id": "sg:person.01173650007.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173650007.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pediatrics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136304.3", 
          "name": [
            "Department of Pediatrics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujii", 
        "givenName": "Katsunori", 
        "id": "sg:person.01213571067.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213571067.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136304.3", 
          "name": [
            "Department of Pediatrics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan", 
            "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimojo", 
        "givenName": "Naoki", 
        "id": "sg:person.01165331767.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165331767.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Bioenvironmental Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136304.3", 
          "name": [
            "Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan", 
            "Department of Bioenvironmental Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mori", 
        "givenName": "Chisato", 
        "id": "sg:person.01131130363.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131130363.67"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s12199-017-0667-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090668177", 
          "https://doi.org/10.1186/s12199-017-0667-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12889-018-6137-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110592027", 
          "https://doi.org/10.1186/s12889-018-6137-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41390-019-0683-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1122986068", 
          "https://doi.org/10.1038/s41390-019-0683-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41390-019-0593-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1121451998", 
          "https://doi.org/10.1038/s41390-019-0593-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00431-010-1338-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002483938", 
          "https://doi.org/10.1007/s00431-010-1338-9"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-09-23", 
    "datePublishedReg": "2021-09-23", 
    "description": "Maternal tobacco smoke exposure during pregnancy impairs fetal body size, including head circumference (HC) at birth; however, the mechanism still remains unclear. This analysis using a large prospective cohort study evaluated the impact of maternal tobacco exposure on their offspring\u2019s HC and the relationship with placental weight ratio (PWR) and placental abnormalities. Parents-children pairs (n\u2009=\u200984,856) were included from the 104,065 records of the Japan Environmental and Children\u2019s Study. Maternal perinatal clinical and social information by self-administered questionnaires, offspring\u2019s body size, and placental information were collected. Data were analyzed with binominal logistic regression analysis and path analysis. Logistic regression showed significantly elevated adjusted odds ratio (aOR) (1.653, 95% CI 1.387\u20131.969) for the impact of maternal smoking during pregnancy on their offspring\u2019s smaller HC at birth. Maternal exposure to environmental tobacco smoke in the non-smoking group did not increase aOR for the smaller HC. Path analysis showed that maternal smoking during pregnancy decreased the offspring\u2019s HC directly, but not indirectly via PWR or placental abnormalities. The quitting smoking during pregnancy group did not increase aOR for the smaller HC than the non-smoking group, suggesting that quitting smoking may reduce their offspring\u2019s neurological impairment even after pregnancy.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/s41598-021-98311-2", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "keywords": [
      "placental weight ratio", 
      "smaller head circumference", 
      "maternal tobacco smoke exposure", 
      "offspring head circumference", 
      "non-smoking group", 
      "tobacco smoke exposure", 
      "head circumference", 
      "maternal smoking", 
      "cohort study", 
      "smoke exposure", 
      "neurological impairment", 
      "placental abnormalities", 
      "prospective birth cohort study", 
      "large prospective cohort study", 
      "fetal body size", 
      "maternal tobacco exposure", 
      "prospective cohort study", 
      "birth cohort study", 
      "environmental tobacco smoke", 
      "logistic regression analysis", 
      "binominal logistic regression analysis", 
      "self-administered questionnaire", 
      "pregnancy group", 
      "tobacco exposure", 
      "maternal exposure", 
      "odds ratio", 
      "tobacco smoke", 
      "smoking", 
      "pregnancy", 
      "logistic regression", 
      "placental information", 
      "Children's Study", 
      "parent-child pairs", 
      "regression analysis", 
      "birth", 
      "abnormalities", 
      "AOR", 
      "exposure", 
      "circumference", 
      "group", 
      "study", 
      "impairment", 
      "body size", 
      "questionnaire", 
      "offspring body size", 
      "smoke", 
      "weight ratio", 
      "path analysis", 
      "offspring", 
      "regression", 
      "analysis", 
      "records", 
      "ratio", 
      "impact", 
      "mechanism", 
      "information", 
      "data", 
      "relationship", 
      "size", 
      "social information", 
      "pairs", 
      "Environmental"
    ], 
    "name": "Decreased head circumference at birth associated with maternal tobacco smoke exposure during pregnancy on the Japanese prospective birth cohort study", 
    "pagination": "18949", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1141321889"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-021-98311-2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34556740"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-021-98311-2", 
      "https://app.dimensions.ai/details/publication/pub.1141321889"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:26", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_878.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/s41598-021-98311-2"
  }
]
 

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/s41598-021-98311-2'

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/s41598-021-98311-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-98311-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-98311-2'


 

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

268 TRIPLES      22 PREDICATES      111 URIs      97 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-021-98311-2 schema:about N1568ac4423bc4a48b25c893c1b232bf7
2 N1738b735da6e4d2fbb40538c59dfdb85
3 N31ca1a6ec7394a25b2f3438829f3074a
4 N345287a9a3d94bc6b4d4e659561de061
5 N41620717e46b473f9a3449faf93279a4
6 N5c2fbdbfc702470a995b56b39808d6bd
7 N61362a9fbc5b4fe4984bbaa66b22cf5b
8 N6d3cdbe6ee794c26ad54fdc518bb7710
9 N706e3b4df47744c391fd5efe61434a3b
10 N774c70a666704250ae23dea6f1a382f4
11 N7e8c4efee12847e295d01858ca0daecb
12 N8379dfb1f40f4d7aaaf341bf57b4b100
13 N8bef7277c5c249b68ff5e1fe2d4dca09
14 N963d29005c294ab7a1e6fd6165d51765
15 N9ffa8fdb060b4cbca1e49d61679b25e8
16 Na1a1a9e380914e47a36f8e6864781210
17 Nef607322739f4a3788879181956e092b
18 anzsrc-for:11
19 anzsrc-for:1114
20 anzsrc-for:1117
21 schema:author N25c04b1a7807439bb19b8ede86c775bb
22 schema:citation sg:pub.10.1007/s00431-010-1338-9
23 sg:pub.10.1038/s41390-019-0593-3
24 sg:pub.10.1038/s41390-019-0683-2
25 sg:pub.10.1186/s12199-017-0667-y
26 sg:pub.10.1186/s12889-018-6137-7
27 schema:datePublished 2021-09-23
28 schema:datePublishedReg 2021-09-23
29 schema:description Maternal tobacco smoke exposure during pregnancy impairs fetal body size, including head circumference (HC) at birth; however, the mechanism still remains unclear. This analysis using a large prospective cohort study evaluated the impact of maternal tobacco exposure on their offspring’s HC and the relationship with placental weight ratio (PWR) and placental abnormalities. Parents-children pairs (n = 84,856) were included from the 104,065 records of the Japan Environmental and Children’s Study. Maternal perinatal clinical and social information by self-administered questionnaires, offspring’s body size, and placental information were collected. Data were analyzed with binominal logistic regression analysis and path analysis. Logistic regression showed significantly elevated adjusted odds ratio (aOR) (1.653, 95% CI 1.387–1.969) for the impact of maternal smoking during pregnancy on their offspring’s smaller HC at birth. Maternal exposure to environmental tobacco smoke in the non-smoking group did not increase aOR for the smaller HC. Path analysis showed that maternal smoking during pregnancy decreased the offspring’s HC directly, but not indirectly via PWR or placental abnormalities. The quitting smoking during pregnancy group did not increase aOR for the smaller HC than the non-smoking group, suggesting that quitting smoking may reduce their offspring’s neurological impairment even after pregnancy.
30 schema:genre article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf N90a14ca10941449eb3f09ed5d3912261
34 Nc3ce6403c852477397005df810c00150
35 sg:journal.1045337
36 schema:keywords AOR
37 Children's Study
38 Environmental
39 abnormalities
40 analysis
41 binominal logistic regression analysis
42 birth
43 birth cohort study
44 body size
45 circumference
46 cohort study
47 data
48 environmental tobacco smoke
49 exposure
50 fetal body size
51 group
52 head circumference
53 impact
54 impairment
55 information
56 large prospective cohort study
57 logistic regression
58 logistic regression analysis
59 maternal exposure
60 maternal smoking
61 maternal tobacco exposure
62 maternal tobacco smoke exposure
63 mechanism
64 neurological impairment
65 non-smoking group
66 odds ratio
67 offspring
68 offspring body size
69 offspring head circumference
70 pairs
71 parent-child pairs
72 path analysis
73 placental abnormalities
74 placental information
75 placental weight ratio
76 pregnancy
77 pregnancy group
78 prospective birth cohort study
79 prospective cohort study
80 questionnaire
81 ratio
82 records
83 regression
84 regression analysis
85 relationship
86 self-administered questionnaire
87 size
88 smaller head circumference
89 smoke
90 smoke exposure
91 smoking
92 social information
93 study
94 tobacco exposure
95 tobacco smoke
96 tobacco smoke exposure
97 weight ratio
98 schema:name Decreased head circumference at birth associated with maternal tobacco smoke exposure during pregnancy on the Japanese prospective birth cohort study
99 schema:pagination 18949
100 schema:productId N90b37f5d4b4a4d52a09735a3a36e3765
101 Nc9632e133f7048409ca38f04c877cc23
102 Nd6be4789f5de487a92bc2d2e84afd6e5
103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1141321889
104 https://doi.org/10.1038/s41598-021-98311-2
105 schema:sdDatePublished 2022-05-10T10:26
106 schema:sdLicense https://scigraph.springernature.com/explorer/license/
107 schema:sdPublisher Ndb82f8cb5d89469c9a2edd71f375dbf0
108 schema:url https://doi.org/10.1038/s41598-021-98311-2
109 sgo:license sg:explorer/license/
110 sgo:sdDataset articles
111 rdf:type schema:ScholarlyArticle
112 N0abe8e68f0864b38867623f39b45d678 rdf:first sg:person.0700552704.51
113 rdf:rest N4dacd4e9d66847028b3bc22088dc66c5
114 N1568ac4423bc4a48b25c893c1b232bf7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Adult
116 rdf:type schema:DefinedTerm
117 N1738b735da6e4d2fbb40538c59dfdb85 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Body Size
119 rdf:type schema:DefinedTerm
120 N25c04b1a7807439bb19b8ede86c775bb rdf:first sg:person.01225032236.78
121 rdf:rest N0abe8e68f0864b38867623f39b45d678
122 N31ca1a6ec7394a25b2f3438829f3074a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Female
124 rdf:type schema:DefinedTerm
125 N345287a9a3d94bc6b4d4e659561de061 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Tobacco Smoke Pollution
127 rdf:type schema:DefinedTerm
128 N393b5602eb234d27972c3eea5099c80c rdf:first sg:person.01131130363.67
129 rdf:rest rdf:nil
130 N41620717e46b473f9a3449faf93279a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Datasets as Topic
132 rdf:type schema:DefinedTerm
133 N4dacd4e9d66847028b3bc22088dc66c5 rdf:first sg:person.015351410021.74
134 rdf:rest Ndaac729ad3534cfc9eb1197c64098c2f
135 N5c2fbdbfc702470a995b56b39808d6bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Humans
137 rdf:type schema:DefinedTerm
138 N61362a9fbc5b4fe4984bbaa66b22cf5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Birth Cohort
140 rdf:type schema:DefinedTerm
141 N6d3cdbe6ee794c26ad54fdc518bb7710 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Pregnancy
143 rdf:type schema:DefinedTerm
144 N706e3b4df47744c391fd5efe61434a3b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Japan
146 rdf:type schema:DefinedTerm
147 N774c70a666704250ae23dea6f1a382f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Prenatal Exposure Delayed Effects
149 rdf:type schema:DefinedTerm
150 N7e8c4efee12847e295d01858ca0daecb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Maternal Age
152 rdf:type schema:DefinedTerm
153 N8379dfb1f40f4d7aaaf341bf57b4b100 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Prospective Studies
155 rdf:type schema:DefinedTerm
156 N8bef7277c5c249b68ff5e1fe2d4dca09 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Cephalometry
158 rdf:type schema:DefinedTerm
159 N90a14ca10941449eb3f09ed5d3912261 schema:volumeNumber 11
160 rdf:type schema:PublicationVolume
161 N90b37f5d4b4a4d52a09735a3a36e3765 schema:name dimensions_id
162 schema:value pub.1141321889
163 rdf:type schema:PropertyValue
164 N963d29005c294ab7a1e6fd6165d51765 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Infant, Newborn
166 rdf:type schema:DefinedTerm
167 N9ffa8fdb060b4cbca1e49d61679b25e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Male
169 rdf:type schema:DefinedTerm
170 Na1a1a9e380914e47a36f8e6864781210 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Tobacco Smoking
172 rdf:type schema:DefinedTerm
173 Na678b5e0b43043ef91bc6d91e7ef5829 rdf:first sg:person.01165331767.25
174 rdf:rest N393b5602eb234d27972c3eea5099c80c
175 Nc3ce6403c852477397005df810c00150 schema:issueNumber 1
176 rdf:type schema:PublicationIssue
177 Nc9632e133f7048409ca38f04c877cc23 schema:name pubmed_id
178 schema:value 34556740
179 rdf:type schema:PropertyValue
180 Nd439708bcb7a4bdb87141056ae37159d rdf:first sg:person.01173650007.86
181 rdf:rest Nfd098247e51546838b41357cf5e33aa6
182 Nd6be4789f5de487a92bc2d2e84afd6e5 schema:name doi
183 schema:value 10.1038/s41598-021-98311-2
184 rdf:type schema:PropertyValue
185 Ndaac729ad3534cfc9eb1197c64098c2f rdf:first sg:person.01063660401.03
186 rdf:rest Nd439708bcb7a4bdb87141056ae37159d
187 Ndb82f8cb5d89469c9a2edd71f375dbf0 schema:name Springer Nature - SN SciGraph project
188 rdf:type schema:Organization
189 Nef607322739f4a3788879181956e092b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Maternal Exposure
191 rdf:type schema:DefinedTerm
192 Nfd098247e51546838b41357cf5e33aa6 rdf:first sg:person.01213571067.02
193 rdf:rest Na678b5e0b43043ef91bc6d91e7ef5829
194 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
195 schema:name Medical and Health Sciences
196 rdf:type schema:DefinedTerm
197 anzsrc-for:1114 schema:inDefinedTermSet anzsrc-for:
198 schema:name Paediatrics and Reproductive Medicine
199 rdf:type schema:DefinedTerm
200 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
201 schema:name Public Health and Health Services
202 rdf:type schema:DefinedTerm
203 sg:journal.1045337 schema:issn 2045-2322
204 schema:name Scientific Reports
205 schema:publisher Springer Nature
206 rdf:type schema:Periodical
207 sg:person.01063660401.03 schema:affiliation grid-institutes:grid.136304.3
208 schema:familyName Sakurai
209 schema:givenName Kenichi
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063660401.03
211 rdf:type schema:Person
212 sg:person.01131130363.67 schema:affiliation grid-institutes:grid.136304.3
213 schema:familyName Mori
214 schema:givenName Chisato
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131130363.67
216 rdf:type schema:Person
217 sg:person.01165331767.25 schema:affiliation grid-institutes:grid.136304.3
218 schema:familyName Shimojo
219 schema:givenName Naoki
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165331767.25
221 rdf:type schema:Person
222 sg:person.01173650007.86 schema:affiliation grid-institutes:grid.136304.3
223 schema:familyName Takatani
224 schema:givenName Rieko
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173650007.86
226 rdf:type schema:Person
227 sg:person.01213571067.02 schema:affiliation grid-institutes:grid.136304.3
228 schema:familyName Fujii
229 schema:givenName Katsunori
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213571067.02
231 rdf:type schema:Person
232 sg:person.01225032236.78 schema:affiliation grid-institutes:grid.136304.3
233 schema:familyName Shiohama
234 schema:givenName Tadashi
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225032236.78
236 rdf:type schema:Person
237 sg:person.015351410021.74 schema:affiliation grid-institutes:grid.136304.3
238 schema:familyName Yamamoto
239 schema:givenName Midori
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015351410021.74
241 rdf:type schema:Person
242 sg:person.0700552704.51 schema:affiliation grid-institutes:grid.136304.3
243 schema:familyName Hisada
244 schema:givenName Aya
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700552704.51
246 rdf:type schema:Person
247 sg:pub.10.1007/s00431-010-1338-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002483938
248 https://doi.org/10.1007/s00431-010-1338-9
249 rdf:type schema:CreativeWork
250 sg:pub.10.1038/s41390-019-0593-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1121451998
251 https://doi.org/10.1038/s41390-019-0593-3
252 rdf:type schema:CreativeWork
253 sg:pub.10.1038/s41390-019-0683-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1122986068
254 https://doi.org/10.1038/s41390-019-0683-2
255 rdf:type schema:CreativeWork
256 sg:pub.10.1186/s12199-017-0667-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1090668177
257 https://doi.org/10.1186/s12199-017-0667-y
258 rdf:type schema:CreativeWork
259 sg:pub.10.1186/s12889-018-6137-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110592027
260 https://doi.org/10.1186/s12889-018-6137-7
261 rdf:type schema:CreativeWork
262 grid-institutes:grid.136304.3 schema:alternateName Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan
263 Department of Bioenvironmental Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan
264 Department of Pediatrics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan
265 schema:name Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, 263-8522, Chiba, Japan
266 Department of Bioenvironmental Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan
267 Department of Pediatrics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Chiba, Japan
268 rdf:type schema:Organization
 




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


...