Association between Cognitive Impairment, Vascular Disease and All-Cause Mortality View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03-06

AUTHORS

J.-H. Kim, Doukyoung Chon

ABSTRACT

ObjectiveThe purpose of this study was to investigate the association between elder’s cognitive impairment and mortality. Additionally, interaction between cognitive impairment and cardio- and cerebrovascular diseases was considered.MethodsData from the Korean Longitudinal Study of Aging (KLoSA) from 2006 to 2014 was assessed using 10,026 participants at baseline with no missing information. Chi-square test, log-rank test, and Cox proportional hazards models were used to investigate the association between cognitive impairment and mortality.ResultsCognitive impairment was significantly associated with mortality. With normal cognitive functioning group as reference: HR=2.329 (p<.0001) for severe cognitive impairment, HR=1.238 (p.009) for mild cognitive impairment. The association remained significant even after considering for cardio- and cerebrovascular diseases.ConclusionThis study provided additional support to previous findings in regards to the relationship between cognitive impairment and mortality. Worse cognitive functioning increased the risk of mortality and the presence of cardio- and cerebrovascular diseases exacerbated this relationship. More... »

PAGES

790-795

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12603-018-1011-y

DOI

http://dx.doi.org/10.1007/s12603-018-1011-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101358019

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30080221


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cognition", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cognitive Dysfunction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dementia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Longitudinal Studies", 
        "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": "Proportional Hazards Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vascular Diseases", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Health Promotion and Policy, Dankook University, Cheonan, Korea", 
          "id": "http://www.grid.ac/institutes/grid.411982.7", 
          "name": [
            "Department of Health Administration, College of Health Science, Dankook University, Cheonan, Korea", 
            "Institute of Health Promotion and Policy, Dankook University, Cheonan, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "J.-H.", 
        "id": "sg:person.01362027676.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362027676.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.411261.1", 
          "name": [
            "Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea", 
            "Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chon", 
        "givenName": "Doukyoung", 
        "id": "sg:person.010776046265.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010776046265.65"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s12916-014-0206-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030176925", 
          "https://doi.org/10.1186/s12916-014-0206-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11906-013-0398-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025191009", 
          "https://doi.org/10.1007/s11906-013-0398-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03325209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033122787", 
          "https://doi.org/10.1007/bf03325209"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-03-06", 
    "datePublishedReg": "2018-03-06", 
    "description": "ObjectiveThe purpose of this study was to investigate the association between elder\u2019s cognitive impairment and mortality. Additionally, interaction between cognitive impairment and cardio- and cerebrovascular diseases was considered.MethodsData from the Korean Longitudinal Study of Aging (KLoSA) from 2006 to 2014 was assessed using 10,026 participants at baseline with no missing information. Chi-square test, log-rank test, and Cox proportional hazards models were used to investigate the association between cognitive impairment and mortality.ResultsCognitive impairment was significantly associated with mortality. With normal cognitive functioning group as reference: HR=2.329 (p<.0001) for severe cognitive impairment, HR=1.238 (p.009) for mild cognitive impairment. The association remained significant even after considering for cardio- and cerebrovascular diseases.ConclusionThis study provided additional support to previous findings in regards to the relationship between cognitive impairment and mortality. Worse cognitive functioning increased the risk of mortality and the presence of cardio- and cerebrovascular diseases exacerbated this relationship.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12603-018-1011-y", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1021574", 
        "issn": [
          "1279-7707", 
          "1760-4788"
        ], 
        "name": "The journal of nutrition, health & aging", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "keywords": [
      "cognitive impairment", 
      "cerebrovascular disease", 
      "log-rank test", 
      "Cox proportional hazards model", 
      "elders' cognitive impairment", 
      "risk of mortality", 
      "proportional hazards model", 
      "chi-square test", 
      "severe cognitive impairment", 
      "mild cognitive impairment", 
      "worse cognitive functioning", 
      "Korean Longitudinal Study", 
      "cause mortality", 
      "vascular disease", 
      "hazards model", 
      "ConclusionThis study", 
      "mortality", 
      "impairment", 
      "disease", 
      "cardio", 
      "functioning group", 
      "longitudinal study", 
      "cognitive functioning", 
      "association", 
      "previous findings", 
      "additional support", 
      "baseline", 
      "study", 
      "MethodsData", 
      "risk", 
      "test", 
      "participants", 
      "group", 
      "findings", 
      "functioning", 
      "aging", 
      "relationship", 
      "regard", 
      "presence", 
      "purpose", 
      "support", 
      "information", 
      "reference", 
      "interaction", 
      "model", 
      "ResultsCognitive impairment", 
      "normal cognitive functioning group", 
      "cognitive functioning group", 
      "presence of cardio"
    ], 
    "name": "Association between Cognitive Impairment, Vascular Disease and All-Cause Mortality", 
    "pagination": "790-795", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1101358019"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12603-018-1011-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30080221"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12603-018-1011-y", 
      "https://app.dimensions.ai/details/publication/pub.1101358019"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:33", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_781.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12603-018-1011-y"
  }
]
 

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.10.1007/s12603-018-1011-y'

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/s12603-018-1011-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12603-018-1011-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12603-018-1011-y'


 

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

183 TRIPLES      22 PREDICATES      90 URIs      79 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12603-018-1011-y schema:about N009b3cfabec04fc8ac651ffdd6b66576
2 N03974bfceb254a65b7cbf0cf957f61a7
3 N03fb1e82380f460392d9fab982ddf699
4 N378d5efd3eb44339a286a6f4df098ebd
5 N3adea2d264804a32806feafebb441bc7
6 N6a87996af4454f88b3ecd510e0db5bc9
7 N898737d6de3446e787d34757183c413e
8 Ndb78354a8c024fda823cbf2356cfbda6
9 Ndc724ad3bfc34676b7fefc081272918f
10 Neca6563e83264a7f92b22835f0bfb440
11 Nf100ac1e31c54f3e8749f3bc41aecc66
12 Nfd7db255ab754ad2860b7c6a396cfe53
13 anzsrc-for:11
14 anzsrc-for:1103
15 schema:author Neabed250ce0f4033861a49ab0c85b45a
16 schema:citation sg:pub.10.1007/bf03325209
17 sg:pub.10.1007/s11906-013-0398-4
18 sg:pub.10.1186/s12916-014-0206-2
19 schema:datePublished 2018-03-06
20 schema:datePublishedReg 2018-03-06
21 schema:description ObjectiveThe purpose of this study was to investigate the association between elder’s cognitive impairment and mortality. Additionally, interaction between cognitive impairment and cardio- and cerebrovascular diseases was considered.MethodsData from the Korean Longitudinal Study of Aging (KLoSA) from 2006 to 2014 was assessed using 10,026 participants at baseline with no missing information. Chi-square test, log-rank test, and Cox proportional hazards models were used to investigate the association between cognitive impairment and mortality.ResultsCognitive impairment was significantly associated with mortality. With normal cognitive functioning group as reference: HR=2.329 (p<.0001) for severe cognitive impairment, HR=1.238 (p.009) for mild cognitive impairment. The association remained significant even after considering for cardio- and cerebrovascular diseases.ConclusionThis study provided additional support to previous findings in regards to the relationship between cognitive impairment and mortality. Worse cognitive functioning increased the risk of mortality and the presence of cardio- and cerebrovascular diseases exacerbated this relationship.
22 schema:genre article
23 schema:inLanguage en
24 schema:isAccessibleForFree false
25 schema:isPartOf N68849de504d54b08af74386577e0cc48
26 Nb114b53be5ba476f91062dab69225f8d
27 sg:journal.1021574
28 schema:keywords ConclusionThis study
29 Cox proportional hazards model
30 Korean Longitudinal Study
31 MethodsData
32 ResultsCognitive impairment
33 additional support
34 aging
35 association
36 baseline
37 cardio
38 cause mortality
39 cerebrovascular disease
40 chi-square test
41 cognitive functioning
42 cognitive functioning group
43 cognitive impairment
44 disease
45 elders' cognitive impairment
46 findings
47 functioning
48 functioning group
49 group
50 hazards model
51 impairment
52 information
53 interaction
54 log-rank test
55 longitudinal study
56 mild cognitive impairment
57 model
58 mortality
59 normal cognitive functioning group
60 participants
61 presence
62 presence of cardio
63 previous findings
64 proportional hazards model
65 purpose
66 reference
67 regard
68 relationship
69 risk
70 risk of mortality
71 severe cognitive impairment
72 study
73 support
74 test
75 vascular disease
76 worse cognitive functioning
77 schema:name Association between Cognitive Impairment, Vascular Disease and All-Cause Mortality
78 schema:pagination 790-795
79 schema:productId N08257718cb244d9e8fce7a74f55a2ea0
80 Nbb60384dea0a4fe98a384e09224580f3
81 Nde6876b8f05d48aeaa715083e9bcd959
82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101358019
83 https://doi.org/10.1007/s12603-018-1011-y
84 schema:sdDatePublished 2021-11-01T18:33
85 schema:sdLicense https://scigraph.springernature.com/explorer/license/
86 schema:sdPublisher N0baf0d5203b1422babcc75b8bfac51d8
87 schema:url https://doi.org/10.1007/s12603-018-1011-y
88 sgo:license sg:explorer/license/
89 sgo:sdDataset articles
90 rdf:type schema:ScholarlyArticle
91 N009b3cfabec04fc8ac651ffdd6b66576 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Longitudinal Studies
93 rdf:type schema:DefinedTerm
94 N03974bfceb254a65b7cbf0cf957f61a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Humans
96 rdf:type schema:DefinedTerm
97 N03fb1e82380f460392d9fab982ddf699 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Heart Diseases
99 rdf:type schema:DefinedTerm
100 N08257718cb244d9e8fce7a74f55a2ea0 schema:name doi
101 schema:value 10.1007/s12603-018-1011-y
102 rdf:type schema:PropertyValue
103 N0baf0d5203b1422babcc75b8bfac51d8 schema:name Springer Nature - SN SciGraph project
104 rdf:type schema:Organization
105 N378d5efd3eb44339a286a6f4df098ebd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Proportional Hazards Models
107 rdf:type schema:DefinedTerm
108 N3adea2d264804a32806feafebb441bc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Cognitive Dysfunction
110 rdf:type schema:DefinedTerm
111 N68849de504d54b08af74386577e0cc48 schema:issueNumber 7
112 rdf:type schema:PublicationIssue
113 N6a87996af4454f88b3ecd510e0db5bc9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Vascular Diseases
115 rdf:type schema:DefinedTerm
116 N898737d6de3446e787d34757183c413e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Cognition
118 rdf:type schema:DefinedTerm
119 Nb114b53be5ba476f91062dab69225f8d schema:volumeNumber 22
120 rdf:type schema:PublicationVolume
121 Nbb60384dea0a4fe98a384e09224580f3 schema:name pubmed_id
122 schema:value 30080221
123 rdf:type schema:PropertyValue
124 Nd4e2e40699184f408b282d6f1efdae9f rdf:first sg:person.010776046265.65
125 rdf:rest rdf:nil
126 Ndb78354a8c024fda823cbf2356cfbda6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Female
128 rdf:type schema:DefinedTerm
129 Ndc724ad3bfc34676b7fefc081272918f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Middle Aged
131 rdf:type schema:DefinedTerm
132 Nde6876b8f05d48aeaa715083e9bcd959 schema:name dimensions_id
133 schema:value pub.1101358019
134 rdf:type schema:PropertyValue
135 Neabed250ce0f4033861a49ab0c85b45a rdf:first sg:person.01362027676.58
136 rdf:rest Nd4e2e40699184f408b282d6f1efdae9f
137 Neca6563e83264a7f92b22835f0bfb440 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Aged
139 rdf:type schema:DefinedTerm
140 Nf100ac1e31c54f3e8749f3bc41aecc66 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Male
142 rdf:type schema:DefinedTerm
143 Nfd7db255ab754ad2860b7c6a396cfe53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Dementia
145 rdf:type schema:DefinedTerm
146 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
147 schema:name Medical and Health Sciences
148 rdf:type schema:DefinedTerm
149 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
150 schema:name Clinical Sciences
151 rdf:type schema:DefinedTerm
152 sg:journal.1021574 schema:issn 1279-7707
153 1760-4788
154 schema:name The journal of nutrition, health & aging
155 schema:publisher Springer Nature
156 rdf:type schema:Periodical
157 sg:person.010776046265.65 schema:affiliation grid-institutes:grid.411261.1
158 schema:familyName Chon
159 schema:givenName Doukyoung
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010776046265.65
161 rdf:type schema:Person
162 sg:person.01362027676.58 schema:affiliation grid-institutes:grid.411982.7
163 schema:familyName Kim
164 schema:givenName J.-H.
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362027676.58
166 rdf:type schema:Person
167 sg:pub.10.1007/bf03325209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033122787
168 https://doi.org/10.1007/bf03325209
169 rdf:type schema:CreativeWork
170 sg:pub.10.1007/s11906-013-0398-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025191009
171 https://doi.org/10.1007/s11906-013-0398-4
172 rdf:type schema:CreativeWork
173 sg:pub.10.1186/s12916-014-0206-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030176925
174 https://doi.org/10.1186/s12916-014-0206-2
175 rdf:type schema:CreativeWork
176 grid-institutes:grid.411261.1 schema:alternateName Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea
177 schema:name Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea
178 Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea
179 rdf:type schema:Organization
180 grid-institutes:grid.411982.7 schema:alternateName Institute of Health Promotion and Policy, Dankook University, Cheonan, Korea
181 schema:name Department of Health Administration, College of Health Science, Dankook University, Cheonan, Korea
182 Institute of Health Promotion and Policy, Dankook University, Cheonan, Korea
183 rdf:type schema:Organization
 




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


...