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A systematic review protocol: social network analysis of tobacco use
Systematic Reviews volume 3, Article number: 85 (2014)
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?
We will follow the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines and search the following databases for relevant articles: CINAHL (Cumulative Index to Nursing and Allied Health Literature); Informit Health Collection; PsycINFO; PubMed/MEDLINE; Scopus/Embase; Web of Science; and the Wiley Online Library. Keywords include tobacco; smoking; smokeless; cigarettes; cigar and ‘social network’ and reference lists of included articles will be hand searched. Studies will be included that provide descriptions of social network analysis of tobacco use.
Qualitative, quantitative and mixed method data that meets the inclusion criteria for the review, including methodological rigour, credibility and quality standards, will be synthesized using narrative synthesis. Results will be presented using outcome statistics that address each of the research questions.
This systematic review will provide a timely evidence base on the role of social network analysis of tobacco use, forming a basis for future research, policy and practice in this area. This systematic review will synthesise the evidence, supporting the hypothesis that social network structures can influence tobacco use. This will also include exploring the relationship between social network structure, social network position, peer selection, peer influence and tobacco use across all age groups, and across different demographics. The research will increase our understanding of social networks and their impact on tobacco use, informing policy and practice while highlighting gaps in the literature and areas for further research.
Tobacco use is a major public health concern due to significant associated health risks, such as cardiovascular disease, respiratory diseases and cancers [1–6]. As a result, tobacco use is the single most preventable cause of death in the world and is the most preventable cause of morbidity and mortality within Australia [7, 8]. Tobacco use has spread globally throughout the developed and developing world . It is well-documented that many cultural and socio-environmental factors influence tobacco use, with increased interest in the context of tobacco use within social networks [10–18]. Social network analysis provides a set of analytic tools to undertake methodical analysis of social networks; mapping, measuring and analysing relationships and exchange among interacting units, such as relationships between people, groups and organizations [19, 20].
Evidence indicates that social network structures can influence behaviour and that behaviour can influence social networks, with normative and peer influences transmitted through network ties or relationships [11, 21]. Peer associations can impact on behaviour, including smoking initiation and cessation [22–24]. In addition, tobacco use can assist to maintain and reinforce social relationships and kinship bonds [25–27]. Social network analysis is used in many disciplines to map, measure, characterise and investigate relationships and influences between people, groups, and organisations [18, 28–31]. For example, economics, sociology, health and political science have all studied how real-life social networks can influence the spread of complex behaviour, such as tobacco and alcohol use, obesity, suicide prevention, organ donation registration and even political expression and voting behaviour [32–44]. A better understanding of these connections, relationships and influences through social networks analysis of tobacco use is required [11, 18].
Undertaking the systematic review on social network analysis of tobacco use will improve our understanding of the interaction between social networks and smoking behaviour and attitudes across population groups. A systematic review by Seo and Huang  explored social network analysis in smoking behaviour, but only focused on adolescent cigarette smoking. This systematic review will build on the research by Seo and Huang , systematically consolidating and investigating social network analysis of tobacco use among all population groups. This review will contribute to the evidence base by highlighting and synthesising key learning, inconsistencies and any evidence-gaps that remain from research of social network analysis of tobacco use. This review could be used to further inform research, programmes and policies utilising social networks to address tobacco use.
This systematic review has not been registered with the International Prospective Register of Systematic Reviews (PROSPERO) as it does not meet the inclusion criterion. For example, PROSPERO requires a minimum of one outcome to be of direct patient or clinical relevance, which is outside the scope of this review.
The systematic review will provide a comprehensive synthesis of the literature on social network analysis of tobacco use and summarise key findings and the nature of social network influences on tobacco use. The research questions include the following. 1) Does social network structure/position influence tobacco use? For example, are clique members, liaisons, and isolates more likely to use tobacco? 2) Does tobacco use influence peer selection? 3) Does peer selection influence tobacco use?
This systematic review will follow the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines .
Criteria for considering studies
Study inclusion criteria
This review will include peer reviewed literature that is published in electronic databases. Studies must describe social network analysis, examining relationships between participants in regards to tobacco use [19, 20].
Studies using quantitative, qualitative and mixed-methods approaches will be eligible for inclusion in order to obtain a comprehensive overview of the existing evidence base. This may include: case control; cohort; cross-sectional; experimental; and intervention designs with no restrictions. All relevant publications will be obtained in order to gain an overview of observational evidence and the influence of social structures on tobacco use.
The sample must include tobacco users, but all genders, age groups and participants from any racial, ethnic, cultural or religious groups will be eligible for inclusion, regardless of location.
Studies to be included must include a description of social network analysis of tobacco use, and may include observational data if the inclusion criterion is met. This will assist to provide an overview of existing evidence of the influence of social structures on tobacco use.
Studies will be included if they contain any outcomes related to tobacco use and social network structure or social network characteristics, such as social network positions. Based primarily on the need to address the research questions, we consider the main outcomes for the systematic review to be: tobacco use and social network position/s; peer selection in tobacco use; and peer influence in tobacco use.
Study exclusion criteria
We will exclude any studies that are: not available in English; conference abstracts; books or grey literature. Furthermore, studies with inappropriate and/or insufficient quality will also be excluded from the analysis.
In following the PRISMA guidelines  we will search the following databases for relevant articles: Cumulative Index to Nursing and Allied Health Literature (CINAHL); Informit Health Collection; PsycINFO; PubMed/MEDLINE; Scopus/Embase; Web of Science; and Wiley Online Library. Reference lists of included articles will also be hand-searched. The search will be undertaken by 31 May 2014 and include papers published between 1 January 2004 and 31 May 2014. Important keywords include: tobacco; smoking; smokeless; cigarettes; cigar and social network.
Selection of studies
We will upload search results into EndNote and any duplicates will be removed. Prior to any screening, reviewers will undergo training to ensure a comprehensive understanding of the review question, the inclusion and exclusion criteria and a basic understanding of social network analysis of tobacco use. In the first round of screening, titles and abstracts will be screened for inclusion. Following preliminary screening, eligibility will be assessed through full-text screening. Eligibility for inclusion of papers will be assessed independently and in duplicate. At the title and abstract screening level, consensus must be reached with both reviewers in order to exclude an article; conflicts will be included. During full-text screening, disagreements will require resolution through consensus. If consensus cannot be achieved, a third reviewer will be called to make a decision. Quality monitoring of the screening process will be done by the first author (RM), who will randomly select 10% of the total articles for revision. Assistance from an independent reviewer will be used if necessary.
A data extraction form will be developed and pilot-tested on a randomly selected subsection of studies. We will then amend the extraction form based on outcomes and feedback from the pilot testing phase. This will ensure a comprehensive data extraction process and optimise the usability of the extraction form. The data extraction form will ensure that the review extracts pertinent data to provide a comprehensive synthesis of the literature regarding social network analysis of tobacco use. The form will provide a mechanism to elicit data to describe key findings and the nature of social network influences on tobacco use. As per the PRISMA guidelines, data will be extracted from each study that meets the inclusion criteria, including: participants; interventions; comparisons; outcomes; study design (PICOS); social network analysis methodology, follow-up period; and funding source [45, 46]. The extraction process will be completed independently. Quality monitoring of the extraction process will be done by the first author (RM), who will randomly select 10% of the included articles for revision. If there is a disagreement, this will be resolved through consensus. If a consensus cannot be reached, a third reviewer will make a decision.
If data are unclear, missing, or presented in a form that is unable to be reliably extracted, authors will be contacted to assist in the process. The corresponding author will be initially contacted by email, with the first author (if not the corresponding author) copied into all correspondence. If email addresses are not available, authors will be contacted by phone. Authors will be given seven days to respond to emails, after which they will be followed up with a phone call and an additional email. If no responses are received after an additional seven days, another phone call will be made to contact the author. Attempts to reach authors will occur for an additional seven days and if authors are unable to be contacted, the authors will be classified as uncontactable.
Quality assessment and risk of bias
The quality of qualitative studies will be measured using the McMaster Quality Assessment Guidelines - Qualitative Form (Version 2.0) . We will assess all studies for threats to internal and external validity, and develop an index of threats to validity.
Qualitative, quantitative and mixed-method data that meets the inclusion criteria for the review, including methodological rigour, credibility and quality standards as outlined, will be described and synthesized using narrative synthesis . This approach is used to synthesise the evidence relevant to the research questions, summarising and explaining the findings of included studies. Results will be presented using a number of outcome statistics where possible to address each research question . For example, in addressing the influence of social network structure/position on tobacco use, mean difference, relative risk, odds ratio, etcetera, could be used, if available, to identify differences in tobacco use among clique members, liaisons or isolates. This is expected to be similar in assessing if peer selection processes (nominating smokers within the social network) predict future tobacco use, or vice versa.
A standardised template for data extraction will be used by one reviewer, and will be checked by a second reviewer. Preliminary synthesis will develop an initial description of the included study results, incorporating outcome statistics against research questions where possible . As patterns across study results emerge from the preliminary synthesis, reviewers will interrogate the data to identify and gain an understanding about any factors that may explain differences in direction and/or effect . The narrative synthesis of evidence is expected to be reported in a table format, highlighting the key outcomes and addressing the research questions. In order to avoid potential biases, key points of difference between studies will be identified.
Meta-analysis and pooling of statistical results will not be undertaken in this instance.
A more detailed understanding of the influence of social networks and the importance of people’s social context in relation to tobacco use and the behavior-change process is required. We anticipate that the systematic review will synthesise evidence, including network characteristics, that social network structures can influence behaviour such as tobacco use. An expected strength of the review will be its ability to examine the relationship between social network structure, social network position and tobacco use across all age groups, and potentially different cultures and demographics. For example, do clique members, liaisons, and isolates influence tobacco use and does this vary by age or population group? The review will also examine peer selection and peer influence preceding tobacco use. The research will increase our understanding of social networks and the impact on tobacco use, informing policy and practice while highlighting gaps in the literature and areas for further research. This will assist researchers in exploring the influence of social networks on tobacco use and to examine if there is an association between social factors and being a smoker or a non-smoker.
Review findings will be disseminated in peer-reviewed publications and presentations, and made publicly available through appropriate mechanisms.
This protocol received input from the Australian Capital Territory (ACT) Aboriginal and Torres Strait Islander Tobacco Control Advisory Group.
This systematic review may not be generalizable across all population groups, such as minority groups and different age groups. In addition, the literature may not capture the holistic and dynamic nature of social networks, but their influence in relation to tobacco use, peer influence and peer selection at a point in time.
U.S. Department of Health Education and Welfare: Smoking and Health. Report of the Advisory Committee to the Surgeon General of the Public Health Service. Smoking and Health. Edited by: Report of the Advisory Committee to the Surgeon General. 1964, Washington: U.S. Department of Health, Education, and Welfare, Public Health Service, Center for Disease Control
U.S. Department of Health and Human Services: The Health Consequences of Involuntary Exposure to Tobacco Smoke - A Report of the Surgeon General. In The Health Consequences of Involuntary Exposure to Tobacco Smoke - A Report of the Surgeon General. 2006, Atlanta: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Coordinating Center for Health Promotion, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health
US Department of Health and Human Services: The Health Consequences of Smoking: what it means to you - A Report of the Surgeon General. The Health Consequences of Smoking. A Report of the Surgeon General. 2004, Atlanta: US Department of Health and Human Services, Public Health Service, Office of the Surgeon General
Briggs V: Smoking and health in the Koori community. Aboriginal and Islander Health Worker J. 1996, 20: 2-
National Cancer Institute: Health Effects of Exposure to Environmental Tobacco Smoke: the Report of the California Environmental Protection Agency. 1999, Bethesda: US Department of Health and Human Services, National Institutes of Health, National Cancer Institute, Health Effects of Exposure to Environmental Tobacco Smoke: The Report of the California Environmental Protection Agency,Smoking and Tobacco Control Monograph No. 10
Winstanley M, Woodward S, Walker N: Tobacco in Australia: Facts and Issues Victorian Smoking and Health Program. In Tobacco in Australia: Facts and Issues Victorian Smoking and Health Program. 1995, Melbourne: Cancer Council Victoria
World Health Organization: WHO Report on the Global Tobacco Epidemic, 2008: The MPOWER Package. In WHO Report on the Global Tobacco Epidemic, 2008: The MPOWER Package. 2008, Geneva: World Health Organization
Australian Institute of Health and Welfare: Australia’s Health 2010. In Australia’s Health 2010. 2010, Canberra: Australian Institute of Health and Welfare
Eriksen DM, Mackay DJ, Ross DH: The Tobacco Atlas. In The Tobacco Atlas. 2012, 4
Hu TW: Reducing cigarette consumption in California: tobacco taxes vs. an anti-smoking media campaign. Am J Public Health. 1995, 85: 1218-1222.
Lakon CM, Valente TW: Social integration in friendship networks: the synergy of network structure and peer influence in relation to cigarette smoking among high risk adolescents. Soc Sci Med. 2012, 74: 1407-1417.
Hall JA, Valente TW: Adolescent smoking networks: the effects of influence and selection on future smoking. Addict Behav. 2007, 32: 3054-3059.
Pollard MS, Tucker JS, Green HD, Kennedy D, Go M-H: Friendship networks and trajectories of adolescent tobacco use. Addict Behav. 2010, 35: 678-685.
Indigenous Health Group: Social Determinants and Indigenous Health: The International Experience and its Policy Implications. Social Determinants and Indigenous Health: the International Experience and its Policy Implications. 2007, Adelaide: International Symposium on the Social Determinants of Indigenous Health
Marmot M: Social determinants of health inequalities. Lancet. 2005, 365: 1099-1104.
Thomas DP, Briggs V, Anderson IPS, Cunningham J: The social determinants of being an Indigenous non-smoker. Aust NZ J Public Health. 2008, 32: 110-118.
World Health Organization: Closing the gap in a Generation Health Equity Through Action on the Social Determinants of Health. In Closing the gap in a Generation Health Equity Through Action on the Social Determinants of Health. 2008, Geneva: World Health Organization
Maddox R, Davey R, Cochrane T, Lovett R, van der Sterren A: Study protocol-Indigenous Australian social networks and the impact on smoking policy and programs in Australia: protocol for a mixed-method prospective study. BMC Public Health. 2013, 13: 879-
McGloin JM, Kirk DS: An overview of social network analysis. J Criminal Justice Educ. 2010, 21: 169-181.
Valente TW, Gallaher P, Mouttapa M: Using social networks to understand and prevent substance Use: a transdisciplinary perspective. Subst Use Misuse. 2004, 39: 1685-1712.
Krohn MD: Web of conformity: a network approach to the explanation of delinquent behavior, the. Soc Probs. 1985, 33: S81-S93.
Chen P-H, White HR, Pandina RJ: Predictors of smoking cessation from adolescence into young adulthood. Addict Behav. 2001, 26: 517-529.
Powell LM, Tauras JA, Ross H: The importance of peer effects, cigarette prices and tobacco control policies for youth smoking behavior. J Health Econ. 2005, 24: 950-968.
Bernburg JG, Thorlindsson T, Sigfusdottir ID: The neighborhood effects of disrupted family processes on adolescent substance use. Soc Sci Med. 2009, 69: 129-137.
Johnston V, Thomas DP: Smoking behaviours in a remote Australian Indigenous community: the influence of family and other factors. Soc Sci Med. 2008, 67: 1708-1716.
Unlu A: The Impact of Social Capital on Youth Substance use. 2009, Florida: University of Central Florida Orlando
Berkman LF, Glass T, Brissette I, Seeman TE: From social integration to health: Durkheim in the new millennium. Soc Sci Med. 2000, 51: 843-857.
Valente TW: Social Networks and Health: Models, Methods, and Applications. 2010, New York: Oxford University Press
Cott C: We decide, you carry it out”: a social network analysis of multidisciplinary long-term care teams. Soc Sci Med. 1997, 45: 1411-1421.
Alexander M: Boardroom networks among Australian company directors, 1976 and 1996 The impact of investor capitalism. J Sociol. 2003, 39: 231-251.
Sales A, Estabrooks C, Valente T: The impact of social networks on knowledge transfer in long-term care facilities: protocol for a study. Implement Sci. 2010, 5: 49-
Granovetter M: Threshold models of collective behavior. Am J Sociol. 1978, 83: 1420-
Schelling TC: Micromotives and Macrobehavior. 2006, New York: WW Norton & Company
Bikhchandani S, Hirshleifer D, Welch I: A theory of fads, fashion, custom, and cultural change as informational cascades. J Polit Econ. 1992, 100: 992-1026.
Valente T: Network models and methods for studying the diffusion of innovations. Models and Methods in Soc Network Anal. 2005, 98-116.
Demaine ED, Hajiaghayi M, Mahini H, Malec DL, Raghavan S, Sawant A, Zadimoghadam M: How to influence people with partial incentives. 2014, Seoul: International World Wide Web Conferences Steering Committee, 937-948.
Bond RM, Fariss CJ, Jones JJ, Kramer ADI, Marlow C, Settle JE, Fowler JH: A 61-million-person experiment in social influence and political mobilization. Nature. 2012, 489: 295-298.
Cameron AM, Massie AB, Alexander CE, Stewart B, Montgomery RA, Benavides NR, Fleming GD, Segev DL: Social media and organ donor registration: the facebook effect. Am J Transplant. 2013, 13: 2059-2065.
Christakis NA: Social networks and collateral health effects - have been ignored in medical care and clinical trials, but need to be studied. Br Med J. 2004, 329: 184-185.
Christakis NA, Fowler JH: The spread of obesity in a large social network over 32 years. N Engl J Med. 2007, 357: 370-379.
Christakis NA, Fowler JH: The collective dynamics of smoking in a large social network. N Engl J Med. 2008, 358: 2249-2258.
Johns MM, Pingel ES, Youatt EJ, Soler JH, McClelland SI, Bauermeister JA: LGBT community, social network characteristics, and smoking behaviors in young sexual minority women. Am J Community Psychol. 2013, 52: 141-154.
Rostila M, Almquist YB, Ostberg V, Edling C, Rydgren J: Social network characteristics and daily smoking among young adults in Sweden. Int J Environ Res Public Health. 2013, 10: 6517-6533.
Rosenquist JN, Murabito J, Fowler JH, Christakis NA: The spread of alcohol consumption behavior in a large social network. Ann Intern Med. 2010, 152: 426-433.
Seo D-C, Huang Y: Systematic review of social network analysis in adolescent cigarette smoking behavior. J Sch Health. 2012, 82: 21-27.
Moher D, Liberati A, Tetzlaff J, Altman DG, The Prisma Group: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009, 6: e1000097-
Letts L, Wilkins S, Law M, Stewart D, Bosch J, Westmorland M: Guidelines for Critical Review Form: Qualitative Studies (Version 2.0). 2007, Hamilton: McMaster University Accès, [http://fhsmcmasterca/rehab/ebp/pdf/qualguidelinespdf] (consulté le 5/1/2012)
Popay J, Roberts H, Sowden A, Petticrew M, Arai L, Rodgers M, Britten N, Roen K, Duffy S: Guidance on the conduct of narrative synthesis in systematic reviews. A product from the ESRC Methods Programme Version. 2006, 1: 1-92.
We would like to thank the ACT Aboriginal and Torres Strait Islander Tobacco Control Advisory Group and Alexander Tsertsvadze for comments and feedback on the systematic review protocol. The research is funded through a PhD scholarship at the University of Canberra by the ACT Government under the ACT Aboriginal and Torres Strait Islander Tobacco Control Strategy.
The authors declare that they have no competing interests.
RM, conceived the protocol and drafted and finalised the manuscript. RD commented on the study protocol, revised the manuscript critically for important intellectual content and will be involved in the analysis and interpretation of data. RL has been involved in the preliminary discussion around the systematic review, contributing to the design of the review and will be involved in the analysis and interpretation of the systematic review data. RL was also involved in drafting the manuscript and revising it critically for important intellectual content. AVDS contributed in the design of the study and was involved in drafting the manuscript and revising it critically for important intellectual content. JC contributed to the design of the protocol, was involved in drafting the manuscript, and will be involved in the analysis and interpretation of the systematic review data. TC contributed to the study protocol, with particular input on analysis and interpretation of data. All authors read and approved the final manuscript.
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Maddox, R., Davey, R., Lovett, R. et al. A systematic review protocol: social network analysis of tobacco use. Syst Rev 3, 85 (2014) doi:10.1186/2046-4053-3-85
- systematic review
- tobacco use
- social networks