Potential gains in health expectancy by improving lifestyle: an application for European regions View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Koen Füssenich, Wilma J. Nusselder, Stefan K. Lhachimi, Hendriek C. Boshuizen, Talitha F. Feenstra

ABSTRACT

BACKGROUND: Prevention aiming at smoking, alcohol consumption, and BMI could potentially bring large gains in life expectancy (LE) and health expectancy measures such as Healthy Life Years (HLY) and Life Expectancy in Good Perceived Health (LEGPH) in the European Union. However, the potential gains might differ by region. METHODS: A Sullivan life table model was applied for 27 European countries to calculate the impact of alternative scenarios of lifestyle behavior on life and health expectancy. Results were then pooled over countries to present the potential gains in HLY and LEGPH for four European regions. RESULTS: Simulations show that up to 4 years of extra health expectancy can be gained by getting all countries to the healthiest levels of lifestyle observed in EU countries. This is more than the 2 years to be gained in life expectancy. Generally, Eastern Europe has the lowest LE, HLY, and LEGPH. Even though the largest gains in LEPGH and HLY can also be made in Eastern Europe, the gap in LE, HLY, and LEGPH can only in a small part be closed by changing smoking, alcohol consumption, and BMI. CONCLUSION: Based on the current data, up to 4 years of good health could be gained by adopting lifestyle as seen in the best-performing countries. Only a part of the lagging health expectancy of Eastern Europe can potentially be solved by improvements in lifestyle involving smoking and BMI. Before it is definitely concluded that lifestyle policy for alcohol use is of relatively little importance compared to smoking or BMI, as our findings suggest, better data should be gathered in all European countries concerning alcohol use and the odds ratios of overconsumption of alcohol. More... »

PAGES

1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12963-018-0181-5

DOI

http://dx.doi.org/10.1186/s12963-018-0181-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111501164

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30654828


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Groningen", 
          "id": "https://www.grid.ac/institutes/grid.4830.f", 
          "name": [
            "National Institute for Public Health and the Environment, Postbus 1, 3720 BA, Bilthoven, The Netherlands", 
            "Department of Epidemiology, University Medical Center, Groningen University, Groningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "F\u00fcssenich", 
        "givenName": "Koen", 
        "id": "sg:person.012361461403.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012361461403.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nusselder", 
        "givenName": "Wilma J.", 
        "id": "sg:person.01075477003.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075477003.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Research Group for Evidence Based Public Health, Institute for Public Health and Nursing, University Bremen & Leibniz Institute for Epidemiology and Prevention Research, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lhachimi", 
        "givenName": "Stefan K.", 
        "id": "sg:person.01233620733.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233620733.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "National Institute for Public Health and the Environment, Postbus 1, 3720 BA, Bilthoven, The Netherlands", 
            "Department of Agrotechnology and Food Sciences, Wageningen University & Research, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boshuizen", 
        "givenName": "Hendriek C.", 
        "id": "sg:person.0616050323.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616050323.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Groningen", 
          "id": "https://www.grid.ac/institutes/grid.4830.f", 
          "name": [
            "National Institute for Public Health and the Environment, Postbus 1, 3720 BA, Bilthoven, The Netherlands", 
            "Department of Epidemiology, University Medical Center, Groningen University, Groningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Feenstra", 
        "givenName": "Talitha F.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1371/journal.pone.0032363", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004866209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(15)00128-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012653078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12889-016-3299-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014446977", 
          "https://doi.org/10.1186/s12889-016-3299-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12889-016-3299-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014446977", 
          "https://doi.org/10.1186/s12889-016-3299-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-11-378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023793355", 
          "https://doi.org/10.1186/1471-2458-11-378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13524-012-0122-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024610478", 
          "https://doi.org/10.1007/s13524-012-0122-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(15)61340-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026275054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(15)61340-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026275054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1360-0443.2006.01517.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029014156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a008935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030740362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ypmed.2012.06.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034287285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0033317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045542678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-90-481-9996-9_26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049792760", 
          "https://doi.org/10.1007/978-90-481-9996-9_26"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-90-481-9996-9_26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049792760", 
          "https://doi.org/10.1007/978-90-481-9996-9_26"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ypmed.2015.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052885574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/obr.12029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052914583"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Prevention aiming at smoking, alcohol consumption, and BMI could potentially bring large gains in life expectancy (LE) and health expectancy measures such as Healthy Life Years (HLY) and Life Expectancy in Good Perceived Health (LEGPH) in the European Union. However, the potential gains might differ by region.\nMETHODS: A Sullivan life table model was applied for 27 European countries to calculate the impact of alternative scenarios of lifestyle behavior on life and health expectancy. Results were then pooled over countries to present the potential gains in HLY and LEGPH for four European regions.\nRESULTS: Simulations show that up to 4\u00a0years of extra health expectancy can be gained by getting all countries to the healthiest levels of lifestyle observed in EU countries. This is more than the 2\u00a0years to be gained in life expectancy. Generally, Eastern Europe has the lowest LE, HLY, and LEGPH. Even though the largest gains in LEPGH and HLY can also be made in Eastern Europe, the gap in LE, HLY, and LEGPH can only in a small part be closed by changing smoking, alcohol consumption, and BMI.\nCONCLUSION: Based on the current data, up to 4\u00a0years of good health could be gained by adopting lifestyle as seen in the best-performing countries. Only a part of the lagging health expectancy of Eastern Europe can potentially be solved by improvements in lifestyle involving smoking and BMI. Before it is definitely concluded that lifestyle policy for alcohol use is of relatively little importance compared to smoking or BMI, as our findings suggest, better data should be gathered in all European countries concerning alcohol use and the odds ratios of overconsumption of alcohol.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12963-018-0181-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3780620", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2686930", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2596305", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2438600", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2434653", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2434634", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3788870", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3753957", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3775329", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1032338", 
        "issn": [
          "1478-7954"
        ], 
        "name": "Population Health Metrics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Potential gains in health expectancy by improving lifestyle: an application for European regions", 
    "pagination": "1", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bfdea8c85effdd434eb8f0841ef4c7d8132267329b2c1869270e5cdd5b45ecae"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30654828"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101178411"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12963-018-0181-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111501164"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12963-018-0181-5", 
      "https://app.dimensions.ai/details/publication/pub.1111501164"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:13", 
    "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/v90/0000000338_0000000338/records_47994_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12963-018-0181-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12963-018-0181-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12963-018-0181-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12963-018-0181-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12963-018-0181-5'


 

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

166 TRIPLES      21 PREDICATES      42 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12963-018-0181-5 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N09a95db72f924b77b9453a550447294e
4 schema:citation sg:pub.10.1007/978-90-481-9996-9_26
5 sg:pub.10.1007/s13524-012-0122-z
6 sg:pub.10.1186/1471-2458-11-378
7 sg:pub.10.1186/s12889-016-3299-z
8 https://doi.org/10.1016/j.ypmed.2012.06.006
9 https://doi.org/10.1016/j.ypmed.2015.07.003
10 https://doi.org/10.1016/s0140-6736(15)00128-2
11 https://doi.org/10.1016/s0140-6736(15)61340-x
12 https://doi.org/10.1093/oxfordjournals.aje.a008935
13 https://doi.org/10.1111/j.1360-0443.2006.01517.x
14 https://doi.org/10.1111/obr.12029
15 https://doi.org/10.1371/journal.pone.0032363
16 https://doi.org/10.1371/journal.pone.0033317
17 schema:datePublished 2019-12
18 schema:datePublishedReg 2019-12-01
19 schema:description BACKGROUND: Prevention aiming at smoking, alcohol consumption, and BMI could potentially bring large gains in life expectancy (LE) and health expectancy measures such as Healthy Life Years (HLY) and Life Expectancy in Good Perceived Health (LEGPH) in the European Union. However, the potential gains might differ by region. METHODS: A Sullivan life table model was applied for 27 European countries to calculate the impact of alternative scenarios of lifestyle behavior on life and health expectancy. Results were then pooled over countries to present the potential gains in HLY and LEGPH for four European regions. RESULTS: Simulations show that up to 4 years of extra health expectancy can be gained by getting all countries to the healthiest levels of lifestyle observed in EU countries. This is more than the 2 years to be gained in life expectancy. Generally, Eastern Europe has the lowest LE, HLY, and LEGPH. Even though the largest gains in LEPGH and HLY can also be made in Eastern Europe, the gap in LE, HLY, and LEGPH can only in a small part be closed by changing smoking, alcohol consumption, and BMI. CONCLUSION: Based on the current data, up to 4 years of good health could be gained by adopting lifestyle as seen in the best-performing countries. Only a part of the lagging health expectancy of Eastern Europe can potentially be solved by improvements in lifestyle involving smoking and BMI. Before it is definitely concluded that lifestyle policy for alcohol use is of relatively little importance compared to smoking or BMI, as our findings suggest, better data should be gathered in all European countries concerning alcohol use and the odds ratios of overconsumption of alcohol.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree true
23 schema:isPartOf N1c34da980e244506bfa6d4a029a07700
24 Nca23deaac95a4665b2b73c5ff2f45468
25 sg:journal.1032338
26 schema:name Potential gains in health expectancy by improving lifestyle: an application for European regions
27 schema:pagination 1
28 schema:productId N397c0a5af282435b89fb65b2a08a8864
29 N3c00e7fe42ce48768998eeb874879cb7
30 N6b5a79abeb2744a2b6f504fcc1aaf4ba
31 Ncf7d4b94ea3740aaa89ad10d749ff745
32 Nec7567972d7c4c6cad332f4b5b9b79d8
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111501164
34 https://doi.org/10.1186/s12963-018-0181-5
35 schema:sdDatePublished 2019-04-11T09:13
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher N08d6859c0e27496187e838e02a174eb2
38 schema:url https://link.springer.com/10.1186%2Fs12963-018-0181-5
39 sgo:license sg:explorer/license/
40 sgo:sdDataset articles
41 rdf:type schema:ScholarlyArticle
42 N08d6859c0e27496187e838e02a174eb2 schema:name Springer Nature - SN SciGraph project
43 rdf:type schema:Organization
44 N09a95db72f924b77b9453a550447294e rdf:first sg:person.012361461403.77
45 rdf:rest N2dfd6daf1dc74f0ead11440c5c7f125b
46 N1c34da980e244506bfa6d4a029a07700 schema:issueNumber 1
47 rdf:type schema:PublicationIssue
48 N2dfd6daf1dc74f0ead11440c5c7f125b rdf:first sg:person.01075477003.31
49 rdf:rest Ncdae28fa6c894448a18c9ab354754074
50 N397c0a5af282435b89fb65b2a08a8864 schema:name dimensions_id
51 schema:value pub.1111501164
52 rdf:type schema:PropertyValue
53 N3c00e7fe42ce48768998eeb874879cb7 schema:name doi
54 schema:value 10.1186/s12963-018-0181-5
55 rdf:type schema:PropertyValue
56 N4ee82bb362b8470e8c0ceb65828f47ba schema:affiliation https://www.grid.ac/institutes/grid.4830.f
57 schema:familyName Feenstra
58 schema:givenName Talitha F.
59 rdf:type schema:Person
60 N6b5a79abeb2744a2b6f504fcc1aaf4ba schema:name nlm_unique_id
61 schema:value 101178411
62 rdf:type schema:PropertyValue
63 Nb53c8339dd6741c6a1278b37b0dd2d0b schema:name Research Group for Evidence Based Public Health, Institute for Public Health and Nursing, University Bremen & Leibniz Institute for Epidemiology and Prevention Research, Bremen, Germany
64 rdf:type schema:Organization
65 Nb579dde7ec1148c59bc9f7b7a690bff7 rdf:first sg:person.0616050323.35
66 rdf:rest Ne163786a987e4b28aa4e753c111e40b3
67 Nca23deaac95a4665b2b73c5ff2f45468 schema:volumeNumber 17
68 rdf:type schema:PublicationVolume
69 Ncdae28fa6c894448a18c9ab354754074 rdf:first sg:person.01233620733.53
70 rdf:rest Nb579dde7ec1148c59bc9f7b7a690bff7
71 Ncf7d4b94ea3740aaa89ad10d749ff745 schema:name readcube_id
72 schema:value bfdea8c85effdd434eb8f0841ef4c7d8132267329b2c1869270e5cdd5b45ecae
73 rdf:type schema:PropertyValue
74 Ne163786a987e4b28aa4e753c111e40b3 rdf:first N4ee82bb362b8470e8c0ceb65828f47ba
75 rdf:rest rdf:nil
76 Nec7567972d7c4c6cad332f4b5b9b79d8 schema:name pubmed_id
77 schema:value 30654828
78 rdf:type schema:PropertyValue
79 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
80 schema:name Medical and Health Sciences
81 rdf:type schema:DefinedTerm
82 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
83 schema:name Public Health and Health Services
84 rdf:type schema:DefinedTerm
85 sg:grant.2434634 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0181-5
86 rdf:type schema:MonetaryGrant
87 sg:grant.2434653 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0181-5
88 rdf:type schema:MonetaryGrant
89 sg:grant.2438600 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0181-5
90 rdf:type schema:MonetaryGrant
91 sg:grant.2596305 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0181-5
92 rdf:type schema:MonetaryGrant
93 sg:grant.2686930 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0181-5
94 rdf:type schema:MonetaryGrant
95 sg:grant.3753957 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0181-5
96 rdf:type schema:MonetaryGrant
97 sg:grant.3775329 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0181-5
98 rdf:type schema:MonetaryGrant
99 sg:grant.3780620 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0181-5
100 rdf:type schema:MonetaryGrant
101 sg:grant.3788870 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0181-5
102 rdf:type schema:MonetaryGrant
103 sg:journal.1032338 schema:issn 1478-7954
104 schema:name Population Health Metrics
105 rdf:type schema:Periodical
106 sg:person.01075477003.31 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
107 schema:familyName Nusselder
108 schema:givenName Wilma J.
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075477003.31
110 rdf:type schema:Person
111 sg:person.01233620733.53 schema:affiliation Nb53c8339dd6741c6a1278b37b0dd2d0b
112 schema:familyName Lhachimi
113 schema:givenName Stefan K.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233620733.53
115 rdf:type schema:Person
116 sg:person.012361461403.77 schema:affiliation https://www.grid.ac/institutes/grid.4830.f
117 schema:familyName Füssenich
118 schema:givenName Koen
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012361461403.77
120 rdf:type schema:Person
121 sg:person.0616050323.35 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
122 schema:familyName Boshuizen
123 schema:givenName Hendriek C.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616050323.35
125 rdf:type schema:Person
126 sg:pub.10.1007/978-90-481-9996-9_26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049792760
127 https://doi.org/10.1007/978-90-481-9996-9_26
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s13524-012-0122-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1024610478
130 https://doi.org/10.1007/s13524-012-0122-z
131 rdf:type schema:CreativeWork
132 sg:pub.10.1186/1471-2458-11-378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023793355
133 https://doi.org/10.1186/1471-2458-11-378
134 rdf:type schema:CreativeWork
135 sg:pub.10.1186/s12889-016-3299-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1014446977
136 https://doi.org/10.1186/s12889-016-3299-z
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.ypmed.2012.06.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034287285
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.ypmed.2015.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052885574
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/s0140-6736(15)00128-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012653078
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/s0140-6736(15)61340-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026275054
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1093/oxfordjournals.aje.a008935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030740362
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1111/j.1360-0443.2006.01517.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029014156
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1111/obr.12029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052914583
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1371/journal.pone.0032363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004866209
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1371/journal.pone.0033317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045542678
155 rdf:type schema:CreativeWork
156 https://www.grid.ac/institutes/grid.4818.5 schema:alternateName Wageningen University & Research
157 schema:name Department of Agrotechnology and Food Sciences, Wageningen University & Research, Wageningen, The Netherlands
158 National Institute for Public Health and the Environment, Postbus 1, 3720 BA, Bilthoven, The Netherlands
159 rdf:type schema:Organization
160 https://www.grid.ac/institutes/grid.4830.f schema:alternateName University of Groningen
161 schema:name Department of Epidemiology, University Medical Center, Groningen University, Groningen, The Netherlands
162 National Institute for Public Health and the Environment, Postbus 1, 3720 BA, Bilthoven, The Netherlands
163 rdf:type schema:Organization
164 https://www.grid.ac/institutes/grid.5645.2 schema:alternateName Erasmus University Medical Center
165 schema:name Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
166 rdf:type schema:Organization
 




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


...