Title |
A systematic review protocol: social network analysis of tobacco use
|
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Published in |
Systematic Reviews, August 2014
|
DOI | 10.1186/2046-4053-3-85 |
Pubmed ID | |
Authors |
Raglan Maddox, Rachel Davey, Ray Lovett, Anke van der Sterren, Joan Corbett, Tom Cochrane |
Abstract |
Tobacco use is the single most preventable cause of death in the world. Evidence indicates that behaviours such as tobacco use can influence social networks, and that social network structures can influence behaviours. Social network analysis provides a set of analytic tools to undertake methodical analysis of social networks. We will undertake a systematic review to provide a comprehensive synthesis of the literature regarding social network analysis and tobacco use. The review will answer the following research questions: among participants who use tobacco, does social network structure/position influence tobacco use? Does tobacco use influence peer selection? Does peer selection influence tobacco use? |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 40% |
United Kingdom | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
Mexico | 1 | 1% |
Sweden | 1 | 1% |
Canada | 1 | 1% |
Unknown | 73 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 15% |
Student > Master | 11 | 14% |
Researcher | 10 | 13% |
Student > Doctoral Student | 7 | 9% |
Other | 6 | 8% |
Other | 16 | 21% |
Unknown | 16 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 16 | 21% |
Nursing and Health Professions | 13 | 17% |
Medicine and Dentistry | 12 | 15% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Computer Science | 3 | 4% |
Other | 14 | 18% |
Unknown | 17 | 22% |