| Title |
What Factors Influence Smoking Prevalence and Smoke Free Policy Enactment across the European Union Member States
|
|---|---|
| Published in |
PLOS ONE, August 2011
|
| DOI | 10.1371/journal.pone.0023889 |
| Pubmed ID | |
| Authors |
Ilze Bogdanovica, Ann McNeill, Rachael Murray, John Britton |
| Abstract |
Smoking prevention should be a primary public health priority for all governments, and effective preventive policies have been identified for decades. The heterogeneity of smoking prevalence between European Union (EU) Member States therefore reflects, at least in part, a failure by governments to prioritise public health over tobacco industry or possibly other financial interests, and hence potentially government corruption. The aims of this study were to test the hypothesis that smoking prevalence is higher in countries with high levels of public sector corruption, and explore the ecological association between smoking prevalence and a range of other national characteristics in current EU Member States. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 92 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 15% |
| Unspecified | 12 | 13% |
| Student > Master | 8 | 9% |
| Student > Ph. D. Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 23 | 24% |
| Unknown | 24 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 15% |
| Social Sciences | 14 | 15% |
| Unspecified | 10 | 11% |
| Economics, Econometrics and Finance | 7 | 7% |
| Psychology | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 29 | 31% |