Linked Life Data

21079620

Source:http://linkedlifedata.com/resource/pubmed/id/21079620

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2011-7-12
pubmed:abstractText
Cost-effectiveness analyses are important tools in efforts to prioritise interventions for obesity prevention. Modelling facilitates evaluation of multiple scenarios with varying assumptions. This study compares the cost-effectiveness of conservative scenarios for two commonly proposed policy-based interventions: front-of-pack 'traffic-light' nutrition labelling (traffic-light labelling) and a tax on unhealthy foods ('junk-food' tax).
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1476-5497
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
35
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1001-9
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
'Traffic-light' nutrition labelling and 'junk-food' tax: a modelled comparison of cost-effectiveness for obesity prevention.
pubmed:affiliation
WHO Collaborating Centre for Obesity Prevention, Deakin University, Melbourne, Victoria, Australia. gary.sacks@deakin.edu.au
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't