Socioeconomic inequality in stunting among under-5 children in Ethiopia: a decomposition analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Shimels Hussien Mohammed, Fatima Muhammad, Reza Pakzad, Shahab Alizadeh

ABSTRACT

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 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... »

PAGES

184

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13104-019-4229-9

DOI

http://dx.doi.org/10.1186/s13104-019-4229-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113063241

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30922416


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/2008/1117", 
        "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

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.10.1186/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

Subject Predicate Object
1 sg:pub.10.1186/s13104-019-4229-9 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N0b5cd930f4d74717adf385383423c153
4 schema:citation sg:pub.10.1007/bf02810402
5 sg:pub.10.1038/495305a
6 sg:pub.10.1186/s12887-017-0848-2
7 sg:pub.10.1186/s12889-017-4033-1
8 https://doi.org/10.1016/s0140-6736(13)60996-4
9 https://doi.org/10.1017/s0007114517002677
10 https://doi.org/10.1017/s1368980013002280
11 https://doi.org/10.1111/j.1651-2227.2006.tb02378.x
12 https://doi.org/10.1111/j.1728-4457.2011.00453.x
13 https://doi.org/10.1111/mcn.12231
14 https://doi.org/10.1111/mcn.12440
15 https://doi.org/10.1177/1536867x0800800401
16 https://doi.org/10.1371/journal.pone.0064636
17 https://doi.org/10.1596/978-0-8213-6933-3
18 https://doi.org/10.2471/blt.07.044800
19 https://doi.org/10.2471/blt.11.095513
20 schema:datePublished 2019-12
21 schema:datePublishedReg 2019-12-01
22 schema: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 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.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree true
26 schema:isPartOf Nb8f0e7a5b8484d7e85c553e50283054f
27 Nfa95c3c7344d401b849dc76a6010d3a7
28 sg:journal.1039457
29 schema:name Socioeconomic inequality in stunting among under-5 children in Ethiopia: a decomposition analysis
30 schema:pagination 184
31 schema:productId N39d0e808780448a28169595d02495d90
32 N3b43e652f0eb4edba91a34498daec77a
33 N4075684f52fe4907b2e35b7bd9ade0d0
34 N5751ccf7c1e84a00b9b38d40e42d0864
35 Nbdd92d43fadc433fb2b7b25e0b6fade0
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113063241
37 https://doi.org/10.1186/s13104-019-4229-9
38 schema:sdDatePublished 2019-04-16T06:24
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N9c0f55ca7e6c4adbbae49fb51d5da670
41 schema:url https://link.springer.com/10.1186%2Fs13104-019-4229-9
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N0b5cd930f4d74717adf385383423c153 rdf:first N8b80d03f545c4c078b738f941e74eace
46 rdf:rest Ne3aed0c45d824202a884f88e36c40350
47 N171d5ffdfb154bde96383c1b1a31aa0d schema:name Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences-International Campus, Tehran, Iran
48 rdf:type schema:Organization
49 N1b26373fc9a04f37aa8a43cb5dbdd0ce schema:affiliation Na71d46f0bd6e4dc2b201a713401cc69e
50 schema:familyName Muhammad
51 schema:givenName Fatima
52 rdf:type schema:Person
53 N39d0e808780448a28169595d02495d90 schema:name pubmed_id
54 schema:value 30922416
55 rdf:type schema:PropertyValue
56 N3b43e652f0eb4edba91a34498daec77a schema:name dimensions_id
57 schema:value pub.1113063241
58 rdf:type schema:PropertyValue
59 N4075684f52fe4907b2e35b7bd9ade0d0 schema:name readcube_id
60 schema:value 04ae47dfc91bfaa9c3b37f2abf63efa81bb1ed0a41e6580e769ba415c80fb55a
61 rdf:type schema:PropertyValue
62 N5751ccf7c1e84a00b9b38d40e42d0864 schema:name doi
63 schema:value 10.1186/s13104-019-4229-9
64 rdf:type schema:PropertyValue
65 N629e0bb9f6b34102991341745363a4a2 rdf:first Na5709a80e62546d4a0a0cae79e904ac3
66 rdf:rest Nb79b9fbd1218435ba89e32b3951e5c4e
67 N8b80d03f545c4c078b738f941e74eace schema:affiliation N171d5ffdfb154bde96383c1b1a31aa0d
68 schema:familyName Mohammed
69 schema:givenName Shimels Hussien
70 rdf:type schema:Person
71 N996b5ecdaca8484e98c55f18ac78f3d0 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
72 schema:familyName Alizadeh
73 schema:givenName Shahab
74 rdf:type schema:Person
75 N9c0f55ca7e6c4adbbae49fb51d5da670 schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 Na5709a80e62546d4a0a0cae79e904ac3 schema:affiliation https://www.grid.ac/institutes/grid.416362.4
78 schema:familyName Pakzad
79 schema:givenName Reza
80 rdf:type schema:Person
81 Na71d46f0bd6e4dc2b201a713401cc69e schema:name Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences-International Campus, Tehran, Iran
82 rdf:type schema:Organization
83 Nb79b9fbd1218435ba89e32b3951e5c4e rdf:first N996b5ecdaca8484e98c55f18ac78f3d0
84 rdf:rest rdf:nil
85 Nb8f0e7a5b8484d7e85c553e50283054f schema:volumeNumber 12
86 rdf:type schema:PublicationVolume
87 Nbdd92d43fadc433fb2b7b25e0b6fade0 schema:name nlm_unique_id
88 schema:value 101462768
89 rdf:type schema:PropertyValue
90 Ne3aed0c45d824202a884f88e36c40350 rdf:first N1b26373fc9a04f37aa8a43cb5dbdd0ce
91 rdf:rest N629e0bb9f6b34102991341745363a4a2
92 Nfa95c3c7344d401b849dc76a6010d3a7 schema:issueNumber 1
93 rdf:type schema:PublicationIssue
94 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
95 schema:name Medical and Health Sciences
96 rdf:type schema:DefinedTerm
97 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
98 schema:name Public Health and Health Services
99 rdf:type schema:DefinedTerm
100 sg:journal.1039457 schema:issn 1756-0500
101 schema:name BMC Research Notes
102 rdf:type schema:Periodical
103 sg:pub.10.1007/bf02810402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027530609
104 https://doi.org/10.1007/bf02810402
105 rdf:type schema:CreativeWork
106 sg:pub.10.1038/495305a schema:sameAs https://app.dimensions.ai/details/publication/pub.1024664755
107 https://doi.org/10.1038/495305a
108 rdf:type schema:CreativeWork
109 sg:pub.10.1186/s12887-017-0848-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084512754
110 https://doi.org/10.1186/s12887-017-0848-2
111 rdf:type schema:CreativeWork
112 sg:pub.10.1186/s12889-017-4033-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074207774
113 https://doi.org/10.1186/s12889-017-4033-1
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/s0140-6736(13)60996-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030455513
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1017/s0007114517002677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093099203
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1017/s1368980013002280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012355710
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1111/j.1651-2227.2006.tb02378.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018624896
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1111/j.1728-4457.2011.00453.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002508599
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1111/mcn.12231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045029992
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1111/mcn.12440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084216103
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1177/1536867x0800800401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110073567
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1371/journal.pone.0064636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030651150
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1596/978-0-8213-6933-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109734877
134 rdf:type schema:CreativeWork
135 https://doi.org/10.2471/blt.07.044800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070836978
136 rdf:type schema:CreativeWork
137 https://doi.org/10.2471/blt.11.095513 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070837946
138 rdf:type schema:CreativeWork
139 https://www.grid.ac/institutes/grid.411705.6 schema:alternateName Tehran University of Medical Sciences
140 schema:name Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
141 rdf:type schema:Organization
142 https://www.grid.ac/institutes/grid.416362.4 schema:alternateName Noor Eye Hospital
143 schema:name Department of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran
144 Noor Research Center for Ophthalmologic Epidemiology, Noor Eye Hospital, Tehran, Iran
145 rdf:type schema:Organization
 




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


...