Ontology type: schema:ScholarlyArticle Open Access: True
2018-12
AUTHORSMisgav Rottenstreich, Hen Y. Sela, Limor Loitner, Noam Smorgick, Zvi Vaknin
ABSTRACTBACKGROUND: Unintended pregnancy is a major public health problem with known risk factors, however, little is known about the prevalence of variables associated with recurrent unintended pregnancy (RUP) among young, unmarried women. METHODS: A retrospective cohort study of unmarried women aged 18-21 serving in the Israeli military between 2013 and 2015. Multivariable logistic regression analysis was used to examine associations between RUP and women's education, IQ, immigration status, country of origin, socioeconomic status and history of psychiatric illness. RESULTS: Of 129,638 women drafted by the Israeli military during the study period, 1720 women with unintended pregnancies had a follow up period of at least a year. Three hundred and eighty-nine of them had RUP (22.6%). Multivariable models comparing women with no unintended pregnancies and women with RUP revealed that RUP was more common among (adjusted relative risk; 95% confidence interval) women who had not graduated from high school (6.9; 4.99-9.55), who had low (90-99) IQ scores (3.9; 2.88-5.39) those reporting Africa as the country of origin (2.5; 1.37-4.59) and those from a lower socioeconomic neighborhood (1.6; 1.18-2.05). Multivariate regression modeling comparing women with single unintended pregnancies and women with RUPs showed that recurrent unintended pregnancy was more common among women who had not graduated from high school (3.2; 2.04-4.84) and those who had a low (90-99) IQ score (1.9; 1.32-2.61). CONCLUSION: Rate of RUP is high among women serving in the Israeli military. These women have unique epidemiological characteristics. This may serve in identifying populations at high risk and thus may enable policy maker to offer at least to this population Long-Acting Reversible Contraception (LARC) methods. We encourage policy makers to consider the provision of LARC methods to all servicewomen who had an unintended pregnancy. More... »
PAGES42
http://scigraph.springernature.com/pub.10.1186/s13584-018-0239-7
DOIhttp://dx.doi.org/10.1186/s13584-018-0239-7
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1105932660
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30595133
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"
}
],
"author": [
{
"affiliation": {
"name": [
"Medical Corps, Israel Defense Forces, Jerusalem, Israel",
"Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, affiliated with the Hebrew University School of Medicine, Jerusalem, Israel"
],
"type": "Organization"
},
"familyName": "Rottenstreich",
"givenName": "Misgav",
"id": "sg:person.01240570077.81",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240570077.81"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, affiliated with the Hebrew University School of Medicine, Jerusalem, Israel"
],
"type": "Organization"
},
"familyName": "Sela",
"givenName": "Hen Y.",
"id": "sg:person.01366431573.19",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366431573.19"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Medical Corps, Israel Defense Forces, Jerusalem, Israel"
],
"type": "Organization"
},
"familyName": "Loitner",
"givenName": "Limor",
"id": "sg:person.015754736243.03",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015754736243.03"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Tel Aviv University",
"id": "https://www.grid.ac/institutes/grid.12136.37",
"name": [
"Department of Obstetrics and Gynecology, Assaf Harofeh Medical Center, affiliated to Sackler School of Medicine, Tel Aviv University, Zerifin 70300, Beer Yakov, Israel"
],
"type": "Organization"
},
"familyName": "Smorgick",
"givenName": "Noam",
"id": "sg:person.01032642113.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032642113.59"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Tel Aviv University",
"id": "https://www.grid.ac/institutes/grid.12136.37",
"name": [
"Department of Obstetrics and Gynecology, Assaf Harofeh Medical Center, affiliated to Sackler School of Medicine, Tel Aviv University, Zerifin 70300, Beer Yakov, Israel"
],
"type": "Organization"
},
"familyName": "Vaknin",
"givenName": "Zvi",
"id": "sg:person.01100755313.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100755313.49"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.ijgo.2014.08.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000638602"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.contraception.2007.10.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000891229"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3109/13625187.2015.1023893",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012553207"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0277-9536(01)00081-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013597936"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.7453/gahmj.2013.056",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019733987"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3016.2007.00896.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026961800"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejmsa1506575",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040359935"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ajog.2008.03.049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049035868"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.contraception.2017.03.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084068229"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-12",
"datePublishedReg": "2018-12-01",
"description": "BACKGROUND: Unintended pregnancy is a major public health problem with known risk factors, however, little is known about the prevalence of variables associated with recurrent unintended pregnancy (RUP) among young, unmarried women.\nMETHODS: A retrospective cohort study of unmarried women aged 18-21 serving in the Israeli military between 2013 and 2015. Multivariable logistic regression analysis was used to examine associations between RUP and women's education, IQ, immigration status, country of origin, socioeconomic status and history of psychiatric illness.\nRESULTS: Of 129,638 women drafted by the Israeli military during the study period, 1720 women with unintended pregnancies had a follow up period of at least a year. Three hundred and eighty-nine of them had RUP (22.6%). Multivariable models comparing women with no unintended pregnancies and women with RUP revealed that RUP was more common among (adjusted relative risk; 95% confidence interval) women who had not graduated from high school (6.9; 4.99-9.55), who had low (90-99) IQ scores (3.9; 2.88-5.39) those reporting Africa as the country of origin (2.5; 1.37-4.59) and those from a lower socioeconomic neighborhood (1.6; 1.18-2.05). Multivariate regression modeling comparing women with single unintended pregnancies and women with RUPs showed that recurrent unintended pregnancy was more common among women who had not graduated from high school (3.2; 2.04-4.84) and those who had a low (90-99) IQ score (1.9; 1.32-2.61).\nCONCLUSION: Rate of RUP is high among women serving in the Israeli military. These women have unique epidemiological characteristics. This may serve in identifying populations at high risk and thus may enable policy maker to offer at least to this population Long-Acting Reversible Contraception (LARC) methods. We encourage policy makers to consider the provision of LARC methods to all servicewomen who had an unintended pregnancy.",
"genre": "research_article",
"id": "sg:pub.10.1186/s13584-018-0239-7",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1046900",
"issn": [
"2045-4015"
],
"name": "Israel Journal of Health Policy Research",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "7"
}
],
"name": "Recurrent unintended pregnancies among young unmarried women serving in the Israeli military",
"pagination": "42",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s13584-018-0239-7"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1105932660"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"8b0cda1794c0b0d6932cab845d2c7846a3d25ef6a2806dbd280f0cd73bd4ba4a"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101584158"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30595133"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s13584-018-0239-7",
"https://app.dimensions.ai/details/publication/pub.1105932660"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-16T06:24",
"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/v90/0000000377_0000000377/records_106828_00000002.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1186%2Fs13584-018-0239-7"
}
]
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.10.1186/s13584-018-0239-7'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13584-018-0239-7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13584-018-0239-7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13584-018-0239-7'
This table displays all metadata directly associated to this object as RDF triples.
130 TRIPLES
21 PREDICATES
38 URIs
21 LITERALS
9 BLANK NODES