Ontology type: schema:ScholarlyArticle
2019-04
AUTHORSReza Omani-Samani, Mehdi Ranjbaran, Maryam Mohammadi, Arezoo Esmailzadeh, Mahdi Sepidarkish, Saman Maroufizadeh, Amir Almasi-Hashiani
ABSTRACTBackground: Pregnancy outcomes might be affected by unintended pregnancy such as preeclampsia, preterm birth, cesarean section and low birth weight. The aim of the present study is to assess the association between unintended pregnancy and pregnancy outcomes. Methods: This was a cross-sectional study conducted in 103 hospitals in Tehran, Iran, in July 2015. The data were collected by trained midwives. The interested independent variable was unintended pregnancy and also preeclampsia, weight gain during pregnancy, preterm birth, cesarean section and low birth weight were considered as interested outcomes, and the association of unintended pregnancy and interested outcomes were assessed. Results: Out of 5152 cases, 1021 (19.82%) cases were unintended pregnancy. There was no significant relationship between unintended pregnancy and low birth weight (adjusted OR 0.67, 95% CI 0.403-1.13, P = 0.138), the risk of preterm birth (adjusted OR 1.15, 95% CI 0.850-1.57, P = 0.351) and preeclampsia (adjusted OR 1.21, 95% CI 0.846-1.75, P = 0.289). The results of multiple linear regression model showed that the mean difference between two groups was 0.70 kg, and weight gain mean in unintended pregnant women significantly was lower than unintended pregnant women (mean difference = 0.70, 95% CI 0.14-1.26 kg, P = 0.014). Multiple logistic regression showed that after adjusting confounders, there was a significant relationship between unintended pregnancy and cesarean section, and the adjusted odds of cesarean section in unintended pregnant women was 1.32 times of intended pregnant women (95% CI 1.07-1.63, P = 0.009). Conclusion: We found higher risk of cesarean section and inappropriate weight gain during pregnancy as adverse outcomes of unintended pregnancy in adjusted model. More... »
PAGES136-141
http://scigraph.springernature.com/pub.10.1007/s13224-018-1125-5
DOIhttp://dx.doi.org/10.1007/s13224-018-1125-5
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1104016668
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30956467
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/2008/1114",
"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/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Academic Center for Education, Culture and Research",
"id": "https://www.grid.ac/institutes/grid.417689.5",
"name": [
"Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Bani Hashem Place, Hafez St., P.O. Box: 16635148, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Omani-Samani",
"givenName": "Reza",
"id": "sg:person.01266166272.07",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266166272.07"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Academic Center for Education, Culture and Research",
"id": "https://www.grid.ac/institutes/grid.417689.5",
"name": [
"Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Bani Hashem Place, Hafez St., P.O. Box: 16635148, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Ranjbaran",
"givenName": "Mehdi",
"id": "sg:person.0576612527.93",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576612527.93"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Academic Center for Education, Culture and Research",
"id": "https://www.grid.ac/institutes/grid.417689.5",
"name": [
"Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Bani Hashem Place, Hafez St., P.O. Box: 16635148, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Mohammadi",
"givenName": "Maryam",
"id": "sg:person.016315314063.89",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016315314063.89"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Zahedan University of Medical Sciences",
"id": "https://www.grid.ac/institutes/grid.488433.0",
"name": [
"Department of Obstetrics and Gynecology, Zahedan University of Medical Sciences, Zahedan, Iran"
],
"type": "Organization"
},
"familyName": "Esmailzadeh",
"givenName": "Arezoo",
"id": "sg:person.011275567527.80",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011275567527.80"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Academic Center for Education, Culture and Research",
"id": "https://www.grid.ac/institutes/grid.417689.5",
"name": [
"Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Bani Hashem Place, Hafez St., P.O. Box: 16635148, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Sepidarkish",
"givenName": "Mahdi",
"id": "sg:person.01050577465.63",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050577465.63"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Academic Center for Education, Culture and Research",
"id": "https://www.grid.ac/institutes/grid.417689.5",
"name": [
"Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Bani Hashem Place, Hafez St., P.O. Box: 16635148, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Maroufizadeh",
"givenName": "Saman",
"id": "sg:person.01315577666.64",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315577666.64"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Academic Center for Education, Culture and Research",
"id": "https://www.grid.ac/institutes/grid.417689.5",
"name": [
"Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Bani Hashem Place, Hafez St., P.O. Box: 16635148, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Almasi-Hashiani",
"givenName": "Amir",
"id": "sg:person.0602644414.97",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602644414.97"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s10995-012-1023-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003892007",
"https://doi.org/10.1007/s10995-012-1023-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.annepidem.2008.03.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015621229"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/jamapsychiatry.2016.3478",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016120037"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3109/13625187.2015.1028617",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021584894"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12884-015-0505-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031126688",
"https://doi.org/10.1186/s12884-015-0505-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12884-015-0505-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031126688",
"https://doi.org/10.1186/s12884-015-0505-4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1728-4465.2014.00393.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035035001"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/hpm.2184",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036722476"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1728-4465.2008.00148.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040001541"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.contraception.2006.11.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043683213"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/epirev/mxq012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048221049"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/epirev/mxq012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048221049"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10995-009-0546-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049147617",
"https://doi.org/10.1007/s10995-009-0546-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10995-009-0546-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049147617",
"https://doi.org/10.1007/s10995-009-0546-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/13625180601143462",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051339067"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10995-016-2238-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074202518",
"https://doi.org/10.1007/s10995-016-2238-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10995-016-2238-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074202518",
"https://doi.org/10.1007/s10995-016-2238-z"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1079101526",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.29252/ijrm.13.12.743",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1079265257"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1079341948",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ogc.2016.10.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083528832"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-04",
"datePublishedReg": "2019-04-01",
"description": "Background: Pregnancy outcomes might be affected by unintended pregnancy such as preeclampsia, preterm birth, cesarean section and low birth weight. The aim of the present study is to assess the association between unintended pregnancy and pregnancy outcomes.\nMethods: This was a cross-sectional study conducted in 103 hospitals in Tehran, Iran, in July 2015. The data were collected by trained midwives. The interested independent variable was unintended pregnancy and also preeclampsia, weight gain during pregnancy, preterm birth, cesarean section and low birth weight were considered as interested outcomes, and the association of unintended pregnancy and interested outcomes were assessed.\nResults: Out of 5152 cases, 1021 (19.82%) cases were unintended pregnancy. There was no significant relationship between unintended pregnancy and low birth weight (adjusted OR\u20090.67, 95% CI 0.403-1.13, P\u2009=\u20090.138), the risk of preterm birth (adjusted OR\u20091.15, 95% CI 0.850-1.57, P\u2009=\u20090.351) and preeclampsia (adjusted OR\u20091.21, 95% CI 0.846-1.75, P\u2009=\u20090.289). The results of multiple linear regression model showed that the mean difference between two groups was 0.70\u00a0kg, and weight gain mean in unintended pregnant women significantly was lower than unintended pregnant women (mean difference\u2009=\u20090.70, 95% CI 0.14-1.26\u00a0kg, P\u2009=\u20090.014). Multiple logistic regression showed that after adjusting confounders, there was a significant relationship between unintended pregnancy and cesarean section, and the adjusted odds of cesarean section in unintended pregnant women was 1.32 times of intended pregnant women (95% CI 1.07-1.63, P\u2009=\u20090.009).\nConclusion: We found higher risk of cesarean section and inappropriate weight gain during pregnancy as adverse outcomes of unintended pregnancy in adjusted model.",
"genre": "research_article",
"id": "sg:pub.10.1007/s13224-018-1125-5",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1017686",
"issn": [
"0971-9202",
"0975-6434"
],
"name": "The Journal of Obstetrics and Gynecology of India",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "69"
}
],
"name": "Impact of Unintended Pregnancy on Maternal and Neonatal Outcomes",
"pagination": "136-141",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s13224-018-1125-5"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"1fcdf12d4826f4a0127b81c5d7b0982ff2d057464f63696bd2c8aead29fa85ac"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1104016668"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"0374763"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30956467"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s13224-018-1125-5",
"https://app.dimensions.ai/details/publication/pub.1104016668"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-15T09:02",
"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/v90/0000000375_0000000375/records_91450_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs13224-018-1125-5"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s13224-018-1125-5'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s13224-018-1125-5'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13224-018-1125-5'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13224-018-1125-5'
This table displays all metadata directly associated to this object as RDF triples.
167 TRIPLES
21 PREDICATES
46 URIs
21 LITERALS
9 BLANK NODES