Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Sara G. Aguilar-Navarro, A. J. Mimenza-Alvarado, J. E. Aguilar-Esquivel, S. G. Yeverino-Castro, T. Juárez-Cedillo, S. Mejía-Arango

ABSTRACT

OBJECTIVES: The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. DESIGN: A prospective panel study of health and aging in Mexico. SETTING AND PARTICIPANTS: Baseline and follow-up information was obtained from the Mexican Health and Aging Study's 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. MEASURES: Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. RESULTS: MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. CONCLUSIONS: MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. More... »

PAGES

227-231

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12603-019-1160-7

DOI

http://dx.doi.org/10.1007/s12603-019-1160-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111826348

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30820509


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n", 
          "id": "https://www.grid.ac/institutes/grid.416850.e", 
          "name": [
            "Department of Geriatric Medicine, Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n, Mexico City, Mexico", 
            "Department of Geriatrics, Instituto Nacional de Ciencias, M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n, Vasco de Quiroga 15, PC 14080, Tlalpan, Mexico City, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aguilar-Navarro", 
        "givenName": "Sara G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n", 
          "id": "https://www.grid.ac/institutes/grid.416850.e", 
          "name": [
            "Department of Geriatric Medicine, Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n, Mexico City, Mexico", 
            "Geriatric Medicine & Neurology Fellowship, Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n, Mexico City, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mimenza-Alvarado", 
        "givenName": "A. J.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n", 
          "id": "https://www.grid.ac/institutes/grid.416850.e", 
          "name": [
            "Geriatric Medicine & Neurology Fellowship, Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n, Mexico City, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aguilar-Esquivel", 
        "givenName": "J. E.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n", 
          "id": "https://www.grid.ac/institutes/grid.416850.e", 
          "name": [
            "Geriatric Medicine & Neurology Fellowship, Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n, Mexico City, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yeverino-Castro", 
        "givenName": "S. G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Autonomous University of Mexico", 
          "id": "https://www.grid.ac/institutes/grid.9486.3", 
          "name": [
            "Epidemiologic and Health Service Research Unit, Aging Area, Mexican Institute of Social Security, National Medical Center Century XXI, Mexico City, Mexico", 
            "Faculty of High Studies (FES) Zaragoza, National Autonomous University of Mexico, Mexico City, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ju\u00e1rez-Cedillo", 
        "givenName": "T.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Texas Medical Branch at Galveston", 
          "id": "https://www.grid.ac/institutes/grid.176731.5", 
          "name": [
            "Department of Population Studies, El Colegio de la Frontera Norte, Tijuana, Baja California, M\u00e9xico", 
            "Sealy Center on Aging, University of Texas Medical Branch, Galveston, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mej\u00eda-Arango", 
        "givenName": "S.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1532-5415.2012.04191.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000002720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(12)60399-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001197701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/gls255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005404754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000445539", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007650881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/gls191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007926678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1355617701755105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011840707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1355617701755105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011840707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03324501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017246127", 
          "https://doi.org/10.1007/bf03324501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2213-8587(13)70088-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020734446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2318-9-41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024285548", 
          "https://doi.org/10.1186/1471-2318-9-41"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neubiorev.2011.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027030100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jamda.2015.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031064283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glp184", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032138404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glp075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033741876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glp075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033741876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gaitpost.2016.08.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038117808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13803390590949340", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040081222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11910-008-0078-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041823012", 
          "https://doi.org/10.1007/s11910-008-0078-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3233/jad-160230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042161402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291700022418", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053749526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291700022418", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053749526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/83.2.261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059443357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/geronj/47.4.p289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059628963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/geront/9.3_part_1.179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059635232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0000000000000717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064352339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0000000000000717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064352339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0000000000000717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064352339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0036-36342007000400005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068099001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0036-36342007001000002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068099080"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0036-36342007001000006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068099084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s1020-49892007000600001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068108901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.21149/spm.v57s1.7594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068935722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077141151", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083168201", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083329588", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ageing/afx084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085350979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1092358959", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03", 
    "datePublishedReg": "2019-03-01", 
    "description": "OBJECTIVES: The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults.\nDESIGN: A prospective panel study of health and aging in Mexico.\nSETTING AND PARTICIPANTS: Baseline and follow-up information was obtained from the Mexican Health and Aging Study's 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group.\nMEASURES: Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected.\nRESULTS: MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment.\nCONCLUSIONS: MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12603-019-1160-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1021574", 
        "issn": [
          "1279-7707", 
          "1760-4788"
        ], 
        "name": "The journal of nutrition, health & aging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012\u20132015", 
    "pagination": "227-231", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6b7740bb89f1703c688332d1d6be09e031580fedcc171abd385993c1592547ea"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30820509"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100893366"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12603-019-1160-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111826348"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12603-019-1160-7", 
      "https://app.dimensions.ai/details/publication/pub.1111826348"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:14", 
    "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/v90/0000000353_0000000353/records_45376_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12603-019-1160-7"
  }
]
 

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/s12603-019-1160-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12603-019-1160-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12603-019-1160-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12603-019-1160-7'


 

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

203 TRIPLES      21 PREDICATES      61 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12603-019-1160-7 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N2034b0ad48494b068f3657ca07b6deec
4 schema:citation sg:pub.10.1007/bf03324501
5 sg:pub.10.1007/s11910-008-0078-y
6 sg:pub.10.1186/1471-2318-9-41
7 https://app.dimensions.ai/details/publication/pub.1077141151
8 https://app.dimensions.ai/details/publication/pub.1083168201
9 https://app.dimensions.ai/details/publication/pub.1083329588
10 https://app.dimensions.ai/details/publication/pub.1092358959
11 https://doi.org/10.1016/j.gaitpost.2016.08.021
12 https://doi.org/10.1016/j.jamda.2015.07.007
13 https://doi.org/10.1016/j.neubiorev.2011.04.003
14 https://doi.org/10.1016/s0140-6736(12)60399-7
15 https://doi.org/10.1016/s2213-8587(13)70088-3
16 https://doi.org/10.1017/s0033291700022418
17 https://doi.org/10.1017/s1355617701755105
18 https://doi.org/10.1080/13803390590949340
19 https://doi.org/10.1093/ageing/afx084
20 https://doi.org/10.1093/brain/83.2.261
21 https://doi.org/10.1093/gerona/glp075
22 https://doi.org/10.1093/gerona/glp184
23 https://doi.org/10.1093/gerona/gls191
24 https://doi.org/10.1093/gerona/gls255
25 https://doi.org/10.1093/geronj/47.4.p289
26 https://doi.org/10.1093/geront/9.3_part_1.179
27 https://doi.org/10.1111/j.1532-5415.2012.04191.x
28 https://doi.org/10.1159/000445539
29 https://doi.org/10.1212/wnl.0000000000000717
30 https://doi.org/10.1590/s0036-36342007000400005
31 https://doi.org/10.1590/s0036-36342007001000002
32 https://doi.org/10.1590/s0036-36342007001000006
33 https://doi.org/10.1590/s1020-49892007000600001
34 https://doi.org/10.21149/spm.v57s1.7594
35 https://doi.org/10.3233/jad-160230
36 schema:datePublished 2019-03
37 schema:datePublishedReg 2019-03-01
38 schema:description OBJECTIVES: The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. DESIGN: A prospective panel study of health and aging in Mexico. SETTING AND PARTICIPANTS: Baseline and follow-up information was obtained from the Mexican Health and Aging Study's 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. MEASURES: Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. RESULTS: MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. CONCLUSIONS: MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf N24e4b6570bf84e22920f9369f21dd209
43 N59c8da99738c484da6fe38f8e90d02b5
44 sg:journal.1021574
45 schema:name Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015
46 schema:pagination 227-231
47 schema:productId N57d8c8337a9e46a4bd748c3c882d10d0
48 N5ba0498ae26f438e91c57212502303dd
49 N850a93f184634c3d95f62d90f5bdedd3
50 Na2c36c122655484bbe8cd5436c848298
51 Nd1a07135da2e4a9e95dd20ecbd06efd6
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111826348
53 https://doi.org/10.1007/s12603-019-1160-7
54 schema:sdDatePublished 2019-04-11T11:14
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N147637190f494537849df9c7f91c7523
57 schema:url https://link.springer.com/10.1007%2Fs12603-019-1160-7
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N147637190f494537849df9c7f91c7523 schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 N2034b0ad48494b068f3657ca07b6deec rdf:first N9e444148df5b463a83e9d1115248065e
64 rdf:rest Nf016fb29e0f34443945489caf3162895
65 N24e4b6570bf84e22920f9369f21dd209 schema:issueNumber 3
66 rdf:type schema:PublicationIssue
67 N57d8c8337a9e46a4bd748c3c882d10d0 schema:name pubmed_id
68 schema:value 30820509
69 rdf:type schema:PropertyValue
70 N59c8da99738c484da6fe38f8e90d02b5 schema:volumeNumber 23
71 rdf:type schema:PublicationVolume
72 N5ba0498ae26f438e91c57212502303dd schema:name readcube_id
73 schema:value 6b7740bb89f1703c688332d1d6be09e031580fedcc171abd385993c1592547ea
74 rdf:type schema:PropertyValue
75 N6fb6ddd31cb6465c9e3bb1ea41fff510 rdf:first Nf4b979dffcbe4325be362fccfaf551a8
76 rdf:rest Ne32d2cc923d6448eafa6801b40d66951
77 N850a93f184634c3d95f62d90f5bdedd3 schema:name nlm_unique_id
78 schema:value 100893366
79 rdf:type schema:PropertyValue
80 N9e444148df5b463a83e9d1115248065e schema:affiliation https://www.grid.ac/institutes/grid.416850.e
81 schema:familyName Aguilar-Navarro
82 schema:givenName Sara G.
83 rdf:type schema:Person
84 Na2c36c122655484bbe8cd5436c848298 schema:name dimensions_id
85 schema:value pub.1111826348
86 rdf:type schema:PropertyValue
87 Na57475f610f945ca8a7018d6a5b53847 schema:affiliation https://www.grid.ac/institutes/grid.416850.e
88 schema:familyName Aguilar-Esquivel
89 schema:givenName J. E.
90 rdf:type schema:Person
91 Nc4505276e4f842c291887fc16f26bc49 schema:affiliation https://www.grid.ac/institutes/grid.176731.5
92 schema:familyName Mejía-Arango
93 schema:givenName S.
94 rdf:type schema:Person
95 Nd1a07135da2e4a9e95dd20ecbd06efd6 schema:name doi
96 schema:value 10.1007/s12603-019-1160-7
97 rdf:type schema:PropertyValue
98 Ndf36fca4f3ee4092a181cb0205aaf6c5 schema:affiliation https://www.grid.ac/institutes/grid.416850.e
99 schema:familyName Mimenza-Alvarado
100 schema:givenName A. J.
101 rdf:type schema:Person
102 Ne32d2cc923d6448eafa6801b40d66951 rdf:first Nc4505276e4f842c291887fc16f26bc49
103 rdf:rest rdf:nil
104 Ne92c7add63664e42a4f2c92a71fbb317 schema:affiliation https://www.grid.ac/institutes/grid.416850.e
105 schema:familyName Yeverino-Castro
106 schema:givenName S. G.
107 rdf:type schema:Person
108 Neb38b1697d884ba986818f3c5a6d0038 rdf:first Ne92c7add63664e42a4f2c92a71fbb317
109 rdf:rest N6fb6ddd31cb6465c9e3bb1ea41fff510
110 Nf010b2382ce741c6aa4f8685aee48bfd rdf:first Na57475f610f945ca8a7018d6a5b53847
111 rdf:rest Neb38b1697d884ba986818f3c5a6d0038
112 Nf016fb29e0f34443945489caf3162895 rdf:first Ndf36fca4f3ee4092a181cb0205aaf6c5
113 rdf:rest Nf010b2382ce741c6aa4f8685aee48bfd
114 Nf4b979dffcbe4325be362fccfaf551a8 schema:affiliation https://www.grid.ac/institutes/grid.9486.3
115 schema:familyName Juárez-Cedillo
116 schema:givenName T.
117 rdf:type schema:Person
118 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
119 schema:name Medical and Health Sciences
120 rdf:type schema:DefinedTerm
121 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
122 schema:name Clinical Sciences
123 rdf:type schema:DefinedTerm
124 sg:journal.1021574 schema:issn 1279-7707
125 1760-4788
126 schema:name The journal of nutrition, health & aging
127 rdf:type schema:Periodical
128 sg:pub.10.1007/bf03324501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017246127
129 https://doi.org/10.1007/bf03324501
130 rdf:type schema:CreativeWork
131 sg:pub.10.1007/s11910-008-0078-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1041823012
132 https://doi.org/10.1007/s11910-008-0078-y
133 rdf:type schema:CreativeWork
134 sg:pub.10.1186/1471-2318-9-41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024285548
135 https://doi.org/10.1186/1471-2318-9-41
136 rdf:type schema:CreativeWork
137 https://app.dimensions.ai/details/publication/pub.1077141151 schema:CreativeWork
138 https://app.dimensions.ai/details/publication/pub.1083168201 schema:CreativeWork
139 https://app.dimensions.ai/details/publication/pub.1083329588 schema:CreativeWork
140 https://app.dimensions.ai/details/publication/pub.1092358959 schema:CreativeWork
141 https://doi.org/10.1016/j.gaitpost.2016.08.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038117808
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.jamda.2015.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031064283
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.neubiorev.2011.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027030100
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/s0140-6736(12)60399-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001197701
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/s2213-8587(13)70088-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020734446
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1017/s0033291700022418 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053749526
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1017/s1355617701755105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011840707
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1080/13803390590949340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040081222
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1093/ageing/afx084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085350979
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1093/brain/83.2.261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059443357
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1093/gerona/glp075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033741876
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1093/gerona/glp184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032138404
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1093/gerona/gls191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007926678
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1093/gerona/gls255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005404754
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1093/geronj/47.4.p289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059628963
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1093/geront/9.3_part_1.179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059635232
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1111/j.1532-5415.2012.04191.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000002720
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1159/000445539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007650881
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1212/wnl.0000000000000717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064352339
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1590/s0036-36342007000400005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068099001
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1590/s0036-36342007001000002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068099080
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1590/s0036-36342007001000006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068099084
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1590/s1020-49892007000600001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068108901
186 rdf:type schema:CreativeWork
187 https://doi.org/10.21149/spm.v57s1.7594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068935722
188 rdf:type schema:CreativeWork
189 https://doi.org/10.3233/jad-160230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042161402
190 rdf:type schema:CreativeWork
191 https://www.grid.ac/institutes/grid.176731.5 schema:alternateName The University of Texas Medical Branch at Galveston
192 schema:name Department of Population Studies, El Colegio de la Frontera Norte, Tijuana, Baja California, México
193 Sealy Center on Aging, University of Texas Medical Branch, Galveston, USA
194 rdf:type schema:Organization
195 https://www.grid.ac/institutes/grid.416850.e schema:alternateName Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán
196 schema:name Department of Geriatric Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
197 Department of Geriatrics, Instituto Nacional de Ciencias, Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, PC 14080, Tlalpan, Mexico City, Mexico
198 Geriatric Medicine & Neurology Fellowship, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
199 rdf:type schema:Organization
200 https://www.grid.ac/institutes/grid.9486.3 schema:alternateName National Autonomous University of Mexico
201 schema:name Epidemiologic and Health Service Research Unit, Aging Area, Mexican Institute of Social Security, National Medical Center Century XXI, Mexico City, Mexico
202 Faculty of High Studies (FES) Zaragoza, National Autonomous University of Mexico, Mexico City, Mexico
203 rdf:type schema:Organization
 




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


...