Association Between Hospitalization and Change of Frailty Status in the Gazel Cohort View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-03-20

AUTHORS

B. Landré, P. Aegerter, M. Zins, M. Goldberg, J. Ankri, Marie Herr

ABSTRACT

ObjectivesTo assess the relationship between changes of frailty status and intervening hospitalizations, using information of the GAZEL cohort, matched with the data of the French National Health Data System. Design: Observational cohort study.ParticipantsCommunity-dwelling adults of the GAZEL cohort (n = 12145; aged between 58 and 73 years in 2012).MeasurementsFrailty was determined with the Strawbridge questionnaire in 2012, 2013 and 2014. Data regarding hospitalizations (notably their number, length of stay, emergency department use, and main diagnosis) were collected from the French National Health Data System. The relationship between intervening hospitalizations and changes of frailty status over time was assessed with multivariate Markov models.ResultsThe prevalence of frailty was 14% in 2012 and 2013 and 17% in 2014. A total of 2715 changes in frailty status were observed from 2012 to 2014. At least one hospitalization was recorded for 1453 people (12%) between the 2012 and 2013 questionnaires, and 1472 (13%) between the 2013 and 2014 questionnaires. No association was found between intervening hospitalizations and changes of frailty status (aHR 1.14 [0.97–1.35] for robust to frail transition and aHR 0.89 [0.73–1.08] for frail to robust transition). However, repeated hospitalizations, hospitalizations after emergency department use, surgery and several diagnosis groups were significantly associated with transitions towards frailty or its recovery.ConclusionHospitalizations encompass a wide range of clinical situations, some of them being associated with incident frailty. An early recognition of these situations could help to better prevent and manage frailty in the early old age. More... »

PAGES

466-473

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12603-019-1186-x

DOI

http://dx.doi.org/10.1007/s12603-019-1186-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112897552

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31021364


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/2008/1117", 
        "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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Frail Elderly", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Frailty", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hospitalization", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Landr\u00e9", 
        "givenName": "B.", 
        "id": "sg:person.012124632304.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012124632304.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "GIRCI-IF \u2013 Cellule M\u00e9thodologie \u2013 Fondation A. de Rothschild, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.417888.a", 
          "name": [
            "INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France", 
            "GIRCI-IF \u2013 Cellule M\u00e9thodologie \u2013 Fondation A. de Rothschild, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aegerter", 
        "givenName": "P.", 
        "id": "sg:person.01276432660.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276432660.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Descartes University, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.508487.6", 
          "name": [
            "INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France", 
            "INSERM, UMS 011, Population-based Epidemiological Cohorts, Villejuif, France", 
            "Paris Descartes University, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zins", 
        "givenName": "M.", 
        "id": "sg:person.01304253120.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304253120.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Descartes University, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.508487.6", 
          "name": [
            "INSERM, UMS 011, Population-based Epidemiological Cohorts, Villejuif, France", 
            "Paris Descartes University, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goldberg", 
        "givenName": "M.", 
        "id": "sg:person.01147270007.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147270007.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D\u00e9partement Hospitalier d\u2019Epid\u00e9miologie et de Sant\u00e9 Publique, H\u00f4pitaux Universitaires Paris Ile-de-France Ouest, Assistance Publique-H\u00f4pitaux de Paris, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.50550.35", 
          "name": [
            "INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France", 
            "D\u00e9partement Hospitalier d\u2019Epid\u00e9miologie et de Sant\u00e9 Publique, H\u00f4pitaux Universitaires Paris Ile-de-France Ouest, Assistance Publique-H\u00f4pitaux de Paris, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ankri", 
        "givenName": "J.", 
        "id": "sg:person.01240014076.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240014076.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Univ Versailles St-Quentin-en-Yvelines, UMR-S 1168, Montigny le Bretonneux, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France", 
            "D\u00e9partement Hospitalier d\u2019Epid\u00e9miologie et de Sant\u00e9 Publique, H\u00f4pitaux Universitaires Paris Ile-de-France Ouest, Assistance Publique-H\u00f4pitaux de Paris, Paris, France", 
            "UMR 1168, UFR des Sciences de la Sant\u00e9 Simone Veil, 2 avenue de la source de la Bi\u00e8vre, 78180, Montigny-le-Bretonneux, France", 
            "Univ Versailles St-Quentin-en-Yvelines, UMR-S 1168, Montigny le Bretonneux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herr", 
        "givenName": "Marie", 
        "id": "sg:person.0647212144.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647212144.49"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00134-017-4867-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090374933", 
          "https://doi.org/10.1007/s00134-017-4867-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03324529", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037671071", 
          "https://doi.org/10.1007/bf03324529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12913-015-0751-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034033467", 
          "https://doi.org/10.1186/s12913-015-0751-1"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-20", 
    "datePublishedReg": "2019-03-20", 
    "description": "ObjectivesTo assess the relationship between changes of frailty status and intervening hospitalizations, using information of the GAZEL cohort, matched with the data of the French National Health Data System. Design: Observational cohort study.ParticipantsCommunity-dwelling adults of the GAZEL cohort (n = 12145; aged between 58 and 73 years in 2012).MeasurementsFrailty was determined with the Strawbridge questionnaire in 2012, 2013 and 2014. Data regarding hospitalizations (notably their number, length of stay, emergency department use, and main diagnosis) were collected from the French National Health Data System. The relationship between intervening hospitalizations and changes of frailty status over time was assessed with multivariate Markov models.ResultsThe prevalence of frailty was 14% in 2012 and 2013 and 17% in 2014. A total of 2715 changes in frailty status were observed from 2012 to 2014. At least one hospitalization was recorded for 1453 people (12%) between the 2012 and 2013 questionnaires, and 1472 (13%) between the 2013 and 2014 questionnaires. No association was found between intervening hospitalizations and changes of frailty status (aHR 1.14 [0.97\u20131.35] for robust to frail transition and aHR 0.89 [0.73\u20131.08] for frail to robust transition). However, repeated hospitalizations, hospitalizations after emergency department use, surgery and several diagnosis groups were significantly associated with transitions towards frailty or its recovery.ConclusionHospitalizations encompass a wide range of clinical situations, some of them being associated with incident frailty. An early recognition of these situations could help to better prevent and manage frailty in the early old age.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12603-019-1186-x", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1021574", 
        "issn": [
          "1279-7707", 
          "1760-4788"
        ], 
        "name": "The journal of nutrition, health & aging", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "keywords": [
      "National Health Data System", 
      "French National Health Data System", 
      "frailty status", 
      "GAZEL cohort", 
      "health data systems", 
      "observational cohort study", 
      "emergency department use", 
      "early old age", 
      "Strawbridge questionnaire", 
      "incident frailty", 
      "cohort study", 
      "ResultsThe prevalence", 
      "department use", 
      "early recognition", 
      "diagnosis groups", 
      "hospitalization", 
      "clinical situations", 
      "older age", 
      "frailty", 
      "cohort", 
      "questionnaire", 
      "Data System", 
      "status", 
      "association", 
      "surgery", 
      "prevalence", 
      "ObjectivesTo", 
      "multivariate Markov model", 
      "adults", 
      "age", 
      "changes", 
      "total", 
      "group", 
      "data", 
      "relationship", 
      "recovery", 
      "study", 
      "people", 
      "use", 
      "time", 
      "situation", 
      "recognition", 
      "wide range", 
      "information", 
      "Markov model", 
      "system", 
      "model", 
      "range", 
      "transition", 
      "ParticipantsCommunity-dwelling adults", 
      "MeasurementsFrailty", 
      "ConclusionHospitalizations"
    ], 
    "name": "Association Between Hospitalization and Change of Frailty Status in the Gazel Cohort", 
    "pagination": "466-473", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112897552"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12603-019-1186-x"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "31021364"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12603-019-1186-x", 
      "https://app.dimensions.ai/details/publication/pub.1112897552"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:37", 
    "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_816.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12603-019-1186-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.10.1007/s12603-019-1186-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.10.1007/s12603-019-1186-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12603-019-1186-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12603-019-1186-x'


 

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

212 TRIPLES      22 PREDICATES      89 URIs      78 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12603-019-1186-x schema:about N0a6b083bd2174a318b80d4bca39b7bd7
2 N32ba00748eec4eed8377c8ca25623efc
3 N3612ed28b3c14a8e9ff9999bab32b481
4 N5573c4fd7b184db3855487306d434be7
5 N6507dcc7773847fbba2fde7a390ac64b
6 N7d51155dc532488781b248c3c56e2009
7 N975e1a776a0f4546b4ed67b14266f8de
8 Nb260a93d9a224afbb21ab03c6c720de0
9 anzsrc-for:11
10 anzsrc-for:1117
11 schema:author N5be88e5eda1a48bf85f006aeccfb97b6
12 schema:citation sg:pub.10.1007/bf03324529
13 sg:pub.10.1007/s00134-017-4867-0
14 sg:pub.10.1186/s12913-015-0751-1
15 schema:datePublished 2019-03-20
16 schema:datePublishedReg 2019-03-20
17 schema:description ObjectivesTo assess the relationship between changes of frailty status and intervening hospitalizations, using information of the GAZEL cohort, matched with the data of the French National Health Data System. Design: Observational cohort study.ParticipantsCommunity-dwelling adults of the GAZEL cohort (n = 12145; aged between 58 and 73 years in 2012).MeasurementsFrailty was determined with the Strawbridge questionnaire in 2012, 2013 and 2014. Data regarding hospitalizations (notably their number, length of stay, emergency department use, and main diagnosis) were collected from the French National Health Data System. The relationship between intervening hospitalizations and changes of frailty status over time was assessed with multivariate Markov models.ResultsThe prevalence of frailty was 14% in 2012 and 2013 and 17% in 2014. A total of 2715 changes in frailty status were observed from 2012 to 2014. At least one hospitalization was recorded for 1453 people (12%) between the 2012 and 2013 questionnaires, and 1472 (13%) between the 2013 and 2014 questionnaires. No association was found between intervening hospitalizations and changes of frailty status (aHR 1.14 [0.97–1.35] for robust to frail transition and aHR 0.89 [0.73–1.08] for frail to robust transition). However, repeated hospitalizations, hospitalizations after emergency department use, surgery and several diagnosis groups were significantly associated with transitions towards frailty or its recovery.ConclusionHospitalizations encompass a wide range of clinical situations, some of them being associated with incident frailty. An early recognition of these situations could help to better prevent and manage frailty in the early old age.
18 schema:genre article
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf N0ebfe2b612d14b45832bb3fd0960516c
22 N334576fd87344c9ea11f6755efa8c31c
23 sg:journal.1021574
24 schema:keywords ConclusionHospitalizations
25 Data System
26 French National Health Data System
27 GAZEL cohort
28 Markov model
29 MeasurementsFrailty
30 National Health Data System
31 ObjectivesTo
32 ParticipantsCommunity-dwelling adults
33 ResultsThe prevalence
34 Strawbridge questionnaire
35 adults
36 age
37 association
38 changes
39 clinical situations
40 cohort
41 cohort study
42 data
43 department use
44 diagnosis groups
45 early old age
46 early recognition
47 emergency department use
48 frailty
49 frailty status
50 group
51 health data systems
52 hospitalization
53 incident frailty
54 information
55 model
56 multivariate Markov model
57 observational cohort study
58 older age
59 people
60 prevalence
61 questionnaire
62 range
63 recognition
64 recovery
65 relationship
66 situation
67 status
68 study
69 surgery
70 system
71 time
72 total
73 transition
74 use
75 wide range
76 schema:name Association Between Hospitalization and Change of Frailty Status in the Gazel Cohort
77 schema:pagination 466-473
78 schema:productId N9b3a579b7e974cc992e57d7179d00aee
79 Ne9f021e9356549879d31cb5bbf062419
80 Necff3904413d4a0187ac1cb1c058abdf
81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112897552
82 https://doi.org/10.1007/s12603-019-1186-x
83 schema:sdDatePublished 2021-11-01T18:37
84 schema:sdLicense https://scigraph.springernature.com/explorer/license/
85 schema:sdPublisher N7e8d14dbcc2943f9bdd68681f487d164
86 schema:url https://doi.org/10.1007/s12603-019-1186-x
87 sgo:license sg:explorer/license/
88 sgo:sdDataset articles
89 rdf:type schema:ScholarlyArticle
90 N0148c039c8774e4c99401feb80048a6f rdf:first sg:person.01276432660.25
91 rdf:rest N1e0fe8c3ce8e45fea7efc1c399221479
92 N0a6b083bd2174a318b80d4bca39b7bd7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Frail Elderly
94 rdf:type schema:DefinedTerm
95 N0ebfe2b612d14b45832bb3fd0960516c schema:issueNumber 5
96 rdf:type schema:PublicationIssue
97 N1e0fe8c3ce8e45fea7efc1c399221479 rdf:first sg:person.01304253120.07
98 rdf:rest N72b6afaba1f0438fa1633531b45c71ad
99 N32ba00748eec4eed8377c8ca25623efc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Cohort Studies
101 rdf:type schema:DefinedTerm
102 N334576fd87344c9ea11f6755efa8c31c schema:volumeNumber 23
103 rdf:type schema:PublicationVolume
104 N3612ed28b3c14a8e9ff9999bab32b481 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Hospitalization
106 rdf:type schema:DefinedTerm
107 N5573c4fd7b184db3855487306d434be7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Humans
109 rdf:type schema:DefinedTerm
110 N5be88e5eda1a48bf85f006aeccfb97b6 rdf:first sg:person.012124632304.02
111 rdf:rest N0148c039c8774e4c99401feb80048a6f
112 N6507dcc7773847fbba2fde7a390ac64b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Female
114 rdf:type schema:DefinedTerm
115 N72b6afaba1f0438fa1633531b45c71ad rdf:first sg:person.01147270007.33
116 rdf:rest Ne26a1d6355344f0a837b42edbb9782a5
117 N7d51155dc532488781b248c3c56e2009 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Frailty
119 rdf:type schema:DefinedTerm
120 N7e8d14dbcc2943f9bdd68681f487d164 schema:name Springer Nature - SN SciGraph project
121 rdf:type schema:Organization
122 N975e1a776a0f4546b4ed67b14266f8de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Male
124 rdf:type schema:DefinedTerm
125 N9b3a579b7e974cc992e57d7179d00aee schema:name doi
126 schema:value 10.1007/s12603-019-1186-x
127 rdf:type schema:PropertyValue
128 Nb260a93d9a224afbb21ab03c6c720de0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Aged
130 rdf:type schema:DefinedTerm
131 Ncdee5a4f33184a5eb9cca56a8f7908bb rdf:first sg:person.0647212144.49
132 rdf:rest rdf:nil
133 Ne26a1d6355344f0a837b42edbb9782a5 rdf:first sg:person.01240014076.28
134 rdf:rest Ncdee5a4f33184a5eb9cca56a8f7908bb
135 Ne9f021e9356549879d31cb5bbf062419 schema:name dimensions_id
136 schema:value pub.1112897552
137 rdf:type schema:PropertyValue
138 Necff3904413d4a0187ac1cb1c058abdf schema:name pubmed_id
139 schema:value 31021364
140 rdf:type schema:PropertyValue
141 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
142 schema:name Medical and Health Sciences
143 rdf:type schema:DefinedTerm
144 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
145 schema:name Public Health and Health Services
146 rdf:type schema:DefinedTerm
147 sg:journal.1021574 schema:issn 1279-7707
148 1760-4788
149 schema:name The journal of nutrition, health & aging
150 schema:publisher Springer Nature
151 rdf:type schema:Periodical
152 sg:person.01147270007.33 schema:affiliation grid-institutes:grid.508487.6
153 schema:familyName Goldberg
154 schema:givenName M.
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147270007.33
156 rdf:type schema:Person
157 sg:person.012124632304.02 schema:affiliation grid-institutes:grid.7429.8
158 schema:familyName Landré
159 schema:givenName B.
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012124632304.02
161 rdf:type schema:Person
162 sg:person.01240014076.28 schema:affiliation grid-institutes:grid.50550.35
163 schema:familyName Ankri
164 schema:givenName J.
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240014076.28
166 rdf:type schema:Person
167 sg:person.01276432660.25 schema:affiliation grid-institutes:grid.417888.a
168 schema:familyName Aegerter
169 schema:givenName P.
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276432660.25
171 rdf:type schema:Person
172 sg:person.01304253120.07 schema:affiliation grid-institutes:grid.508487.6
173 schema:familyName Zins
174 schema:givenName M.
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304253120.07
176 rdf:type schema:Person
177 sg:person.0647212144.49 schema:affiliation grid-institutes:None
178 schema:familyName Herr
179 schema:givenName Marie
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647212144.49
181 rdf:type schema:Person
182 sg:pub.10.1007/bf03324529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037671071
183 https://doi.org/10.1007/bf03324529
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s00134-017-4867-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090374933
186 https://doi.org/10.1007/s00134-017-4867-0
187 rdf:type schema:CreativeWork
188 sg:pub.10.1186/s12913-015-0751-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034033467
189 https://doi.org/10.1186/s12913-015-0751-1
190 rdf:type schema:CreativeWork
191 grid-institutes:None schema:alternateName Univ Versailles St-Quentin-en-Yvelines, UMR-S 1168, Montigny le Bretonneux, France
192 schema:name Département Hospitalier d’Epidémiologie et de Santé Publique, Hôpitaux Universitaires Paris Ile-de-France Ouest, Assistance Publique-Hôpitaux de Paris, Paris, France
193 INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France
194 UMR 1168, UFR des Sciences de la Santé Simone Veil, 2 avenue de la source de la Bièvre, 78180, Montigny-le-Bretonneux, France
195 Univ Versailles St-Quentin-en-Yvelines, UMR-S 1168, Montigny le Bretonneux, France
196 rdf:type schema:Organization
197 grid-institutes:grid.417888.a schema:alternateName GIRCI-IF – Cellule Méthodologie – Fondation A. de Rothschild, Paris, France
198 schema:name GIRCI-IF – Cellule Méthodologie – Fondation A. de Rothschild, Paris, France
199 INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France
200 rdf:type schema:Organization
201 grid-institutes:grid.50550.35 schema:alternateName Département Hospitalier d’Epidémiologie et de Santé Publique, Hôpitaux Universitaires Paris Ile-de-France Ouest, Assistance Publique-Hôpitaux de Paris, Paris, France
202 schema:name Département Hospitalier d’Epidémiologie et de Santé Publique, Hôpitaux Universitaires Paris Ile-de-France Ouest, Assistance Publique-Hôpitaux de Paris, Paris, France
203 INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France
204 rdf:type schema:Organization
205 grid-institutes:grid.508487.6 schema:alternateName Paris Descartes University, Paris, France
206 schema:name INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France
207 INSERM, UMS 011, Population-based Epidemiological Cohorts, Villejuif, France
208 Paris Descartes University, Paris, France
209 rdf:type schema:Organization
210 grid-institutes:grid.7429.8 schema:alternateName INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France
211 schema:name INSERM, U1168, VIMA: Aging and chronic diseases. Epidemiological and public health approaches, Villejuif, France
212 rdf:type schema:Organization
 




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


...