Ten-year trends of hypertension treatment and control rate in Korea View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-03-26

AUTHORS

Kwang-il Kim, Eunjeong Ji, Jung-yeon Choi, Sun-wook Kim, Soyeon Ahn, Cheol-Ho Kim

ABSTRACT

We analyzed the Korean National Health and Nutrition Examination Survey (KNHANES) database to determine the trends of hypertension treatment and control rate in Korea over the past 10 years. In addition, we tried to investigate the effect of chronic medical conditions on hypertension management. We investigated the hypertension prevalence, awareness, treatment, and control rate from 2008 to 2017. KNHANES, which uses a stratified multistage sampling design, is a cross-sectional, nationally representative survey conducted by the Korean government. A total of 59,282 adults (≥ 20 years) were included, which was representative of the total population of around 40 million Koreans per year. The mean age was 50.7 ± 16.4 years and 42.6% were male. The prevalence of hypertension, hypercholesterolemia, diabetes mellitus, and obesity significantly increased over the 10 years. During this period, the hypertension treatment and control rate significantly improved. Hypertension treatment rate was significantly lower in the younger age group compared to the older age group, but the control rate among the treated patients was not significantly different between age groups. The treatment and control rates of hypertension were higher in patients with multimorbidity, which implies that it has a favorable effect on the treatment and control of hypertension. Hypertension treatment and control rate have improved over the past 10 years. The higher treatment and control rate in patients with multimorbidity suggest that the more aggressive surveillance might be associated with the improvement of hypertension treatment and control rate in Korea. More... »

PAGES

6966

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-021-86199-x

DOI

http://dx.doi.org/10.1038/s41598-021-86199-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1136685196

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/33772056


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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": "Blood Pressure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chronic Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diabetes Mellitus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Surveys", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hypercholesterolemia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hypertension", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nutrition Surveys", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Republic of Korea", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea", 
            "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Kwang-il", 
        "id": "sg:person.01167722776.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167722776.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ji", 
        "givenName": "Eunjeong", 
        "id": "sg:person.016541652125.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016541652125.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Jung-yeon", 
        "id": "sg:person.01177312356.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177312356.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Sun-wook", 
        "id": "sg:person.01344770710.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344770710.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahn", 
        "givenName": "Soyeon", 
        "id": "sg:person.0612662613.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612662613.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea", 
            "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Cheol-Ho", 
        "id": "sg:person.01226425336.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226425336.09"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s40885-018-0098-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106548078", 
          "https://doi.org/10.1186/s40885-018-0098-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40885-020-00158-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1134850479", 
          "https://doi.org/10.1186/s40885-020-00158-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40885-019-0124-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1120028285", 
          "https://doi.org/10.1186/s40885-019-0124-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-03-26", 
    "datePublishedReg": "2021-03-26", 
    "description": "We analyzed the Korean National Health and Nutrition Examination Survey (KNHANES) database to determine the trends of hypertension treatment and control rate in Korea over the past 10\u00a0years. In addition, we tried to investigate the effect of chronic medical conditions on hypertension management. We investigated the hypertension prevalence, awareness, treatment, and control rate from 2008 to 2017. KNHANES, which uses a stratified multistage sampling design, is a cross-sectional, nationally representative survey conducted by the Korean government. A total of 59,282 adults (\u2265\u200920\u00a0years) were included, which was representative of the total population of around 40 million Koreans per year. The mean age was 50.7\u2009\u00b1\u200916.4\u00a0years and 42.6% were male. The prevalence of hypertension, hypercholesterolemia, diabetes mellitus, and obesity significantly increased over the 10\u00a0years. During this period, the hypertension treatment and control rate significantly improved. Hypertension treatment rate was significantly lower in the younger age group compared to the older age group, but the control rate among the treated patients was not significantly different between age groups. The treatment and control rates of hypertension were higher in patients with multimorbidity, which implies that it has a favorable effect on the treatment and control of hypertension. Hypertension treatment and control rate have improved over the past 10\u00a0years. The higher treatment and control rate in patients with multimorbidity suggest that the more aggressive surveillance might be associated with the improvement of hypertension treatment and control rate in Korea.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/s41598-021-86199-x", 
    "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": [
      "hypertension treatment", 
      "control rate", 
      "age groups", 
      "Nutrition Examination Survey (NHANES) database", 
      "hypertension treatment rates", 
      "prevalence of hypertension", 
      "Korean National Health", 
      "control of hypertension", 
      "chronic medical conditions", 
      "younger age groups", 
      "older age groups", 
      "Ten-year trends", 
      "hypertension prevalence", 
      "hypertension management", 
      "mean age", 
      "aggressive surveillance", 
      "National Health", 
      "multistage sampling design", 
      "medical conditions", 
      "hypertension", 
      "treatment rates", 
      "patients", 
      "favorable effect", 
      "treatment", 
      "multimorbidity", 
      "prevalence", 
      "total population", 
      "representative survey", 
      "years", 
      "group", 
      "KNHANES", 
      "mellitus", 
      "Survey database", 
      "obesity", 
      "hypercholesterolemia", 
      "high treatment", 
      "rate", 
      "adults", 
      "age", 
      "total", 
      "surveillance", 
      "health", 
      "effect", 
      "population", 
      "management", 
      "period", 
      "database", 
      "control", 
      "Korea", 
      "awareness", 
      "improvement", 
      "survey", 
      "sampling design", 
      "trends", 
      "Koreans", 
      "addition", 
      "conditions", 
      "design", 
      "Korean government", 
      "government"
    ], 
    "name": "Ten-year trends of hypertension treatment and control rate in Korea", 
    "pagination": "6966", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1136685196"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-021-86199-x"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "33772056"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-021-86199-x", 
      "https://app.dimensions.ai/details/publication/pub.1136685196"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_895.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/s41598-021-86199-x"
  }
]
 

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/s41598-021-86199-x'

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/s41598-021-86199-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-86199-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-86199-x'


 

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

231 TRIPLES      22 PREDICATES      104 URIs      92 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-021-86199-x schema:about N07edee91261449cab5b10b0178e3a376
2 N18aa0a691fa94038be521c227c4d3164
3 N2cfe4fdba4ab48838dbcf24911a8efec
4 N3a82ec4d8cb14a528d61d620df1ff1f7
5 N3e0c1487a81946e1bf3d083c278abfa8
6 N7adbba30b53743a8bb94fb1a39713062
7 N8a55afab27bc487e81393f5a8343c3c1
8 N8a8b7b0ac3284b9793def57a2dd8a839
9 N8d384f4a1363426d89b57d4836769709
10 Nb06ffb55ac0b4be5ab4df292327dce2b
11 Nd45c09a004ae44048bec585e72de5809
12 Nd5894131d25c4855b530384ca6590b75
13 Nebcb4db96c3741568666b00d5f4d474a
14 Nfee716a924324322800abdfc0f639c6d
15 anzsrc-for:11
16 anzsrc-for:1103
17 anzsrc-for:1117
18 schema:author N2c49491d68dc49ccb6ec8c79beaf3edc
19 schema:citation sg:pub.10.1186/s40885-018-0098-0
20 sg:pub.10.1186/s40885-019-0124-x
21 sg:pub.10.1186/s40885-020-00158-8
22 schema:datePublished 2021-03-26
23 schema:datePublishedReg 2021-03-26
24 schema:description We analyzed the Korean National Health and Nutrition Examination Survey (KNHANES) database to determine the trends of hypertension treatment and control rate in Korea over the past 10 years. In addition, we tried to investigate the effect of chronic medical conditions on hypertension management. We investigated the hypertension prevalence, awareness, treatment, and control rate from 2008 to 2017. KNHANES, which uses a stratified multistage sampling design, is a cross-sectional, nationally representative survey conducted by the Korean government. A total of 59,282 adults (≥ 20 years) were included, which was representative of the total population of around 40 million Koreans per year. The mean age was 50.7 ± 16.4 years and 42.6% were male. The prevalence of hypertension, hypercholesterolemia, diabetes mellitus, and obesity significantly increased over the 10 years. During this period, the hypertension treatment and control rate significantly improved. Hypertension treatment rate was significantly lower in the younger age group compared to the older age group, but the control rate among the treated patients was not significantly different between age groups. The treatment and control rates of hypertension were higher in patients with multimorbidity, which implies that it has a favorable effect on the treatment and control of hypertension. Hypertension treatment and control rate have improved over the past 10 years. The higher treatment and control rate in patients with multimorbidity suggest that the more aggressive surveillance might be associated with the improvement of hypertension treatment and control rate in Korea.
25 schema:genre article
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf N37bb245da1fb44f98f45f6417244c896
29 Nbcc2ebbc2a6446068c3924d3193d796e
30 sg:journal.1045337
31 schema:keywords KNHANES
32 Korea
33 Korean National Health
34 Korean government
35 Koreans
36 National Health
37 Nutrition Examination Survey (NHANES) database
38 Survey database
39 Ten-year trends
40 addition
41 adults
42 age
43 age groups
44 aggressive surveillance
45 awareness
46 chronic medical conditions
47 conditions
48 control
49 control of hypertension
50 control rate
51 database
52 design
53 effect
54 favorable effect
55 government
56 group
57 health
58 high treatment
59 hypercholesterolemia
60 hypertension
61 hypertension management
62 hypertension prevalence
63 hypertension treatment
64 hypertension treatment rates
65 improvement
66 management
67 mean age
68 medical conditions
69 mellitus
70 multimorbidity
71 multistage sampling design
72 obesity
73 older age groups
74 patients
75 period
76 population
77 prevalence
78 prevalence of hypertension
79 rate
80 representative survey
81 sampling design
82 surveillance
83 survey
84 total
85 total population
86 treatment
87 treatment rates
88 trends
89 years
90 younger age groups
91 schema:name Ten-year trends of hypertension treatment and control rate in Korea
92 schema:pagination 6966
93 schema:productId N3d26916a54f2444bb438f015adcd6bad
94 Na7707d27010e4c2d9fc738584dc971c9
95 Nf96ee1e37ed942c1bb9419e58259c620
96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1136685196
97 https://doi.org/10.1038/s41598-021-86199-x
98 schema:sdDatePublished 2022-05-20T07:38
99 schema:sdLicense https://scigraph.springernature.com/explorer/license/
100 schema:sdPublisher N1de2d523bf2e44c78be0a89aebde073b
101 schema:url https://doi.org/10.1038/s41598-021-86199-x
102 sgo:license sg:explorer/license/
103 sgo:sdDataset articles
104 rdf:type schema:ScholarlyArticle
105 N07edee91261449cab5b10b0178e3a376 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Female
107 rdf:type schema:DefinedTerm
108 N18aa0a691fa94038be521c227c4d3164 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Health Surveys
110 rdf:type schema:DefinedTerm
111 N1de2d523bf2e44c78be0a89aebde073b schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 N2291306714ed46f680698b51ebe76336 rdf:first sg:person.0612662613.04
114 rdf:rest N85ea7c59b4314829b67bc9320e4a40b0
115 N2752ba68e2b74b64ab6d80fc70ab88c3 rdf:first sg:person.016541652125.35
116 rdf:rest Nc587eb4951234c2fa91c1e0d4ba1bed5
117 N2c49491d68dc49ccb6ec8c79beaf3edc rdf:first sg:person.01167722776.13
118 rdf:rest N2752ba68e2b74b64ab6d80fc70ab88c3
119 N2cfe4fdba4ab48838dbcf24911a8efec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Obesity
121 rdf:type schema:DefinedTerm
122 N37bb245da1fb44f98f45f6417244c896 schema:volumeNumber 11
123 rdf:type schema:PublicationVolume
124 N3a82ec4d8cb14a528d61d620df1ff1f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Humans
126 rdf:type schema:DefinedTerm
127 N3d26916a54f2444bb438f015adcd6bad schema:name doi
128 schema:value 10.1038/s41598-021-86199-x
129 rdf:type schema:PropertyValue
130 N3e0c1487a81946e1bf3d083c278abfa8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Middle Aged
132 rdf:type schema:DefinedTerm
133 N7adbba30b53743a8bb94fb1a39713062 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Cross-Sectional Studies
135 rdf:type schema:DefinedTerm
136 N85ea7c59b4314829b67bc9320e4a40b0 rdf:first sg:person.01226425336.09
137 rdf:rest rdf:nil
138 N8a55afab27bc487e81393f5a8343c3c1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Blood Pressure
140 rdf:type schema:DefinedTerm
141 N8a8b7b0ac3284b9793def57a2dd8a839 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Hypertension
143 rdf:type schema:DefinedTerm
144 N8d384f4a1363426d89b57d4836769709 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Chronic Disease
146 rdf:type schema:DefinedTerm
147 Na7707d27010e4c2d9fc738584dc971c9 schema:name pubmed_id
148 schema:value 33772056
149 rdf:type schema:PropertyValue
150 Nb06ffb55ac0b4be5ab4df292327dce2b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Nutrition Surveys
152 rdf:type schema:DefinedTerm
153 Nb4eedc0870e5436c8619d1313ccb59a8 rdf:first sg:person.01344770710.12
154 rdf:rest N2291306714ed46f680698b51ebe76336
155 Nbcc2ebbc2a6446068c3924d3193d796e schema:issueNumber 1
156 rdf:type schema:PublicationIssue
157 Nc587eb4951234c2fa91c1e0d4ba1bed5 rdf:first sg:person.01177312356.50
158 rdf:rest Nb4eedc0870e5436c8619d1313ccb59a8
159 Nd45c09a004ae44048bec585e72de5809 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Hypercholesterolemia
161 rdf:type schema:DefinedTerm
162 Nd5894131d25c4855b530384ca6590b75 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Male
164 rdf:type schema:DefinedTerm
165 Nebcb4db96c3741568666b00d5f4d474a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Republic of Korea
167 rdf:type schema:DefinedTerm
168 Nf96ee1e37ed942c1bb9419e58259c620 schema:name dimensions_id
169 schema:value pub.1136685196
170 rdf:type schema:PropertyValue
171 Nfee716a924324322800abdfc0f639c6d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Diabetes Mellitus
173 rdf:type schema:DefinedTerm
174 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
175 schema:name Medical and Health Sciences
176 rdf:type schema:DefinedTerm
177 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
178 schema:name Clinical Sciences
179 rdf:type schema:DefinedTerm
180 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
181 schema:name Public Health and Health Services
182 rdf:type schema:DefinedTerm
183 sg:journal.1045337 schema:issn 2045-2322
184 schema:name Scientific Reports
185 schema:publisher Springer Nature
186 rdf:type schema:Periodical
187 sg:person.01167722776.13 schema:affiliation grid-institutes:grid.412480.b
188 schema:familyName Kim
189 schema:givenName Kwang-il
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167722776.13
191 rdf:type schema:Person
192 sg:person.01177312356.50 schema:affiliation grid-institutes:grid.412480.b
193 schema:familyName Choi
194 schema:givenName Jung-yeon
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177312356.50
196 rdf:type schema:Person
197 sg:person.01226425336.09 schema:affiliation grid-institutes:grid.412480.b
198 schema:familyName Kim
199 schema:givenName Cheol-Ho
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226425336.09
201 rdf:type schema:Person
202 sg:person.01344770710.12 schema:affiliation grid-institutes:grid.412480.b
203 schema:familyName Kim
204 schema:givenName Sun-wook
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344770710.12
206 rdf:type schema:Person
207 sg:person.016541652125.35 schema:affiliation grid-institutes:grid.412480.b
208 schema:familyName Ji
209 schema:givenName Eunjeong
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016541652125.35
211 rdf:type schema:Person
212 sg:person.0612662613.04 schema:affiliation grid-institutes:grid.412480.b
213 schema:familyName Ahn
214 schema:givenName Soyeon
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612662613.04
216 rdf:type schema:Person
217 sg:pub.10.1186/s40885-018-0098-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106548078
218 https://doi.org/10.1186/s40885-018-0098-0
219 rdf:type schema:CreativeWork
220 sg:pub.10.1186/s40885-019-0124-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1120028285
221 https://doi.org/10.1186/s40885-019-0124-x
222 rdf:type schema:CreativeWork
223 sg:pub.10.1186/s40885-020-00158-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1134850479
224 https://doi.org/10.1186/s40885-020-00158-8
225 rdf:type schema:CreativeWork
226 grid-institutes:grid.412480.b schema:alternateName Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea
227 Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
228 schema:name Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-ro 173-82, Bundang-gu, 463-707, Seongnam, Kyeongi, Republic of Korea
229 Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
230 Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
231 rdf:type schema:Organization
 




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


...