Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSShimels Hussien Mohammed, Fatima Muhammad, Reza Pakzad, Shahab Alizadeh
ABSTRACTOBJECTIVE: Ethiopia bears a high stunting burden. However, there is a paucity of evidence on the socioeconomic inequalities of stunting in Ethiopia. Thus, this study was aimed to determine the degree of socioeconomic inequality in stunting and decompose it to the social determinants of stunting. We used a nationally representative sample of 8855 children, aged below 5 years, from the Ethiopian demographic and health survey, conducted in 2016. Subjects were recruited following a two-stage cluster sampling. The socioeconomic status was measured by the household wealth index, categorized into quantiles. The inequality in stunting between the poorest and the richest socioeconomic groups was decomposed into its contributing social factors following the Blinder-Oaxaca decomposition approach. RESULT: The overall prevalence of stunting was 38%, with a significant pro-poor socioeconomic inequality. The prevalence of stunting among the poorest and the richest socioeconomic categories was 45.1% and 26.9%, respectively. Caregivers education status was the main contributor, accounting alone for 33% of the socioeconomic inequality in stunting, followed by region of residence (11%) and birth size (6%). Equity sensitive interventions, which prioritize the vulnerable groups might help to narrow the socioeconomic inequality as well as fasten the progress towards the goal of stunting reduction. More... »
PAGES184
http://scigraph.springernature.com/pub.10.1186/s13104-019-4229-9
DOIhttp://dx.doi.org/10.1186/s13104-019-4229-9
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1113063241
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30922416
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": [
"Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences-International Campus, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Mohammed",
"givenName": "Shimels Hussien",
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences-International Campus, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Muhammad",
"givenName": "Fatima",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Noor Eye Hospital",
"id": "https://www.grid.ac/institutes/grid.416362.4",
"name": [
"Department of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran",
"Noor Research Center for Ophthalmologic Epidemiology, Noor Eye Hospital, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Pakzad",
"givenName": "Reza",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Tehran University of Medical Sciences",
"id": "https://www.grid.ac/institutes/grid.411705.6",
"name": [
"Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Alizadeh",
"givenName": "Shahab",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1111/j.1728-4457.2011.00453.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002508599"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s1368980013002280",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012355710"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1651-2227.2006.tb02378.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018624896"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1651-2227.2006.tb02378.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018624896"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/495305a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024664755",
"https://doi.org/10.1038/495305a"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02810402",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027530609",
"https://doi.org/10.1007/bf02810402"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(13)60996-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030455513"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(13)60996-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030455513"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0064636",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030651150"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/mcn.12231",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045029992"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2471/blt.07.044800",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070836978"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2471/blt.11.095513",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070837946"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12889-017-4033-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074207774",
"https://doi.org/10.1186/s12889-017-4033-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12889-017-4033-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074207774",
"https://doi.org/10.1186/s12889-017-4033-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/mcn.12440",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084216103"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12887-017-0848-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084512754",
"https://doi.org/10.1186/s12887-017-0848-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12887-017-0848-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084512754",
"https://doi.org/10.1186/s12887-017-0848-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s0007114517002677",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093099203"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1596/978-0-8213-6933-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1109734877"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/1536867x0800800401",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1110073567"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/1536867x0800800401",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1110073567"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/1536867x0800800401",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1110073567"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-12",
"datePublishedReg": "2019-12-01",
"description": "OBJECTIVE: Ethiopia bears a high stunting burden. However, there is a paucity of evidence on the socioeconomic inequalities of stunting in Ethiopia. Thus, this study was aimed to determine the degree of socioeconomic inequality in stunting and decompose it to the social determinants of stunting. We used a nationally representative sample of 8855 children, aged below 5\u00a0years, from the Ethiopian demographic and health survey, conducted in 2016. Subjects were recruited following a two-stage cluster sampling. The socioeconomic status was measured by the household wealth index, categorized into quantiles. The inequality in stunting between the poorest and the richest socioeconomic groups was decomposed into its contributing social factors following the Blinder-Oaxaca decomposition approach.\nRESULT: The overall prevalence of stunting was 38%, with a significant pro-poor socioeconomic inequality. The prevalence of stunting among the poorest and the richest socioeconomic categories was 45.1% and 26.9%, respectively. Caregivers education status was the main contributor, accounting alone for 33% of the socioeconomic inequality in stunting, followed by region of residence (11%) and birth size (6%). Equity sensitive interventions, which prioritize the vulnerable groups might help to narrow the socioeconomic inequality as well as fasten the progress towards the goal of stunting reduction.",
"genre": "research_article",
"id": "sg:pub.10.1186/s13104-019-4229-9",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1039457",
"issn": [
"1756-0500"
],
"name": "BMC Research Notes",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "12"
}
],
"name": "Socioeconomic inequality in stunting among under-5 children in Ethiopia: a decomposition analysis",
"pagination": "184",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s13104-019-4229-9"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1113063241"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"04ae47dfc91bfaa9c3b37f2abf63efa81bb1ed0a41e6580e769ba415c80fb55a"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101462768"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30922416"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s13104-019-4229-9",
"https://app.dimensions.ai/details/publication/pub.1113063241"
],
"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_106831_00000002.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1186%2Fs13104-019-4229-9"
}
]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/s13104-019-4229-9'
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/s13104-019-4229-9'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13104-019-4229-9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13104-019-4229-9'
This table displays all metadata directly associated to this object as RDF triples.
145 TRIPLES
21 PREDICATES
45 URIs
21 LITERALS
9 BLANK NODES