Linked Life Data

19042549

Source:http://linkedlifedata.com/resource/pubmed/id/19042549

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2008-12-1
pubmed:abstractText
Smoking and nicotine addiction are among the major preventable causes of disease and mortality. Being able to target promotional campaigns effectively relies on a good understanding of the demographics of smokers and potential smokers. This study reports on the results of a large sample survey of the demographics of smokers and non-smokers in South African townships. Using logistical regression, it finds that smokers tend to be significantly, older males who are less educated, and somewhat surprisingly, with no religious affiliation. Implications for public health policy are identified, and avenues for future research recognized.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
H
pubmed:status
MEDLINE
pubmed:issn
1545-0864
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
25
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
289-301
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Using demographics to predict smoking behavior: large sample evidence from an emerging market.
pubmed:affiliation
Lulea University of Technology, Lulea, Sweden.
pubmed:publicationType
Journal Article