Abstract
Objective
Smoking is the most preventable cause of death, thus justifying efforts to effectively motivate quitting. We compared the effectiveness of financial versus health messages to motivate smoking cessation. Low-income individuals disproportionately smoke and, given their greater income constraints, we hypothesized that making financial costs of smoking more salient would encourage more smokers to try quitting. Further, we predicted financial messages would be stronger in financial settings where pecuniary constraints are most salient.
Methods
We conducted a field study in low-income areas of New Haven, Connecticut using brochures with separate health vs. financial messages to motivate smoking cessation. Displays were rotated among community settings—check-cashing, health clinics, and grocery stores. We randomized brochure displays with gain-framed cessation messages across locations.
Results
Our predictions were confirmed. Financial messages attracted significantly more attention than health messages, especially in financial settings.
Conclusions
These findings suggest greater emphasis on the financial gains to quitting and use of financial settings to provide cessation messages may be more effective in motivating quitting. Importantly, use of financial settings could open new, non-medical venues for encouraging cessation. Encouraging quitting could improve health, enhance spending power of low-income smokers, and reduce health disparities in both health and purchasing power.
Keywords: Smoking, smoking cessation, financial incentives, message framing, behavioral economics low-income, disparities
INTRODUCTION
Smoking is the leading, preventable cause of death. The harms of smoking fall disproportionately on individuals with low education and low income. This occurs both because 1) average smoking rates are disproportionately high among low-education and low-income populations (Stead et al., 2001; Flint & Novotny, 1997; Agrawal et al., 2008) and 2) smoking can be not only a health problem, but a financial drain for low-income individuals. Low-income smokers give up relatively greater proportions of other goods and services to buy cigarettes. A cigarette pack in 2012 can cost over $8.23 in Connecticut and $12.50 in New York City (Boonn, 2013; Hickey, 2012). For a pack-a-day smoker paying $8.23 per pack, quitting could save over $3,000 per year, money which could be used to buy other items Busch et al., 2004; Wang et al., 2006; Xin et al., 2009).
The combination of lack of access to cessation advice in the medical arena and the important financial aspects of smoking suggests that alternative venues for providing messages to motivate cessation and new ways to make the message more effective are needed. Specifically, we suggest that approaches to make the current and cumulative costs of tobacco salient might be effective for motivating low-income smokers to quit. In addition, providing the message about the financial costs of smoking in check-writing locations, banks, and even grocery stores, when smokers are concerned about their finances, might enhance the impact of the message. That is, location can ‘prime’ (to use a term from psychology) smokers to focus on their financial concerns and the costs of smoking which might enhance the effectiveness of a financial message to quit. More effectively encouraging quitting for low-income smokers would not only improve their health, but also enhance their spending power and reduce disparities in both health and purchasing power.
We hypothesized and tested that making the financial costs of smoking more salient would encourage more smokers to consider quitting; and that financial messages to quit would be more effective than health messages, especially for low-income individuals. Further, we hypothesized financial messages would be even stronger when financial constraints are most salient. Reasons include:
Greater immediacy and certainty of financial gain
Smokers, especially low-income smokers, may consider health benefits from quitting too distant and uncertain, i.e., they might, or might not, suffer from future tobacco-related disease. In contrast, financial savings from not purchasing cigarettes are immediate and certain.
Gains in purchasing power
Poorer individuals have more to gain in relative purchasing power from quitting than wealthier individuals. Spending over $3,000 a year on tobacco can crowd-out spending on necessities for low-income individuals (Busch et al., 2004; Wang et al., 2006; Xin et al., 2009).
Evidence money motivates quitting
Empirical support that financial incentives encourages quitting comes from a variety of studies. Tobacco taxation studies show significant decline in purchases with higher tobacco taxes and prices (Chaloupka & Warner, 2000; Gallet & List, 2003). Contingency management and other studies show small financial payments can reduce smoking rates (Lussier et al., 2006; Volpp et al., 2006; Volpp et al., 2009; Sigmon & Patrick, 2012: Higgins, 2102). ―Quit-and-Win‖ contests have successfully used financial incentives to encourage quitting; smokers are eligible to win a monetary prize through lottery drawings if they promise to quit for a specified time, actually quit, and send in their entry form (Hahn et al., 2004; Hey & Perera, 2005; O‘Connor et al., 2006). Finally, recent evidence suggests making opportunity costs of a choice more salient can change behavior (Frederick et al., 2009). While this evidence was tested in other domains, it may generalize to purchasing tobacco.
Heath risks well-known; financial impacts less emphasized
Through cigarette warning labels, public health announcements, and other approaches, smokers are continuously reminded of health risks (USDHHS, 2000). While health messages have been effective, low-income individuals still smoke at above average rates. Emphasis on financial costs of smoking has not been a major part of public messages and thus may have greater impact, especially on those with considerable financial constraints.
Findings from our randomized field study support our hypotheses and in turn suggest ways of expanding the provision and effectiveness of smoking cessation motivation.
METHODS
We conducted a ‘message framing’ field study among low-income populations in inner-city New Haven, CT between December 2008 and February 2009. To test the impact of financial versus health messages to motivate smoking cessation, we placed smoking cessation brochures with each message type in three types of settings: check-cashing stores, health clinics and grocery stores. The two message types were rotated across location types. We used location as the prime for receptivity to the message. Our primary outcome measure was how many brochures were picked-up by brochure and location type.
Message
We developed and rotated two sets of two brochures with both visual and written messages to motivate quitting: one set emphasized health impacts of quitting and one emphasized financial impacts. We used two sets of each type to enhance generalizability. Messages were gain-framed—the focus was on benefits of quitting rather than risks of not quitting. Gain-framed messages have been found more effective in reducing smoking (Toll et al., 2007; Toll et al., 2010; Rothman et al., 2006). Health brochures were titled ―Quit Smoking and Get Healthy‖ and financial brochures were titled ―Quit Smoking and Save Money.‖ Each had specific information on either heath or financial gains achievable over a day, week, and year.
We followed well-developed methods of message-framing to enhance validity (Toll, 2007; Toll, 2010; Rothman et al., 2006; Schneider et al., 2001). To ensure messages were salient for our target populations, we conducted five focus groups (in English and Spanish) to select the most compelling brochures. We also conducted qualitative tests to ensure the final sets were similarly professional, motivating, eye-catching, easy-to-understand, and of comparable impact (Wells & Windschitl, 1999). Our final brochures were similar in basic design, approach, colors, size, professional printing—except for focusing on either health or finance. Brochures were displayed in English and Spanish. The English versions are provided as supplementary materials.
Inside each brochure were: informed consent information, an opportunity to request a smoking cessation quitline call, and ‘Quit-and-Win’ contest information.
Sites and sample
Inner-city New Haven is divided into ‘empowerment’ zones, each having poverty rates of over 25%; higher-than-average smoking rates of 31%, compared to the national average of 20% (Community Alliance for Research and Engagement, 2009, unpublished); and populations with high rates of ethnic and racial minorities, primarily African-American and Hispanic. In each zone, we selected three sites to display brochures, one each: financial (check-cashing stores), health (clinics), and neutral (grocery stores). In grocery stores, people are concerned about both finances and health (e.g. nutrition). Check-cashing stores served as our financial sites; banks were generally not located in these zones. Thus, 12 sites in four zones were equally divided between check-cashing institutions, health clinics, and grocery stores. These 12 sites participated over the eight-week study period, yielding 96 week-site opportunities to collect data.
Randomization
We alternated displays of financial and health message brochures at each financial, health, and neutral site weekly with brochures displayed prominently to ensure greatest exposure to foot-traffic. Displays of message type were randomly assigned with full saturation of the options. That is, we randomized the two matching sets of health and financial messages across the 12 locations over eight weeks. During the eight weeks, each of the 12 sites had each of the four different visuals (two financial and two health) displayed twice, with each display period lasting one week. Randomization was used to ensure similar foot-traffic across message type, location type, and week. By rotating across messages and sites, we exposed populations similar in size and type to both health and financial messages.
Contest
We utilized a ―Quit-and-Win‖ lottery to encourage smokers to quit smoking and to obtain an additional data source. We placed contest information inside the brochures to prevent the contest from contaminating the exterior displayed message. Smokers who entered the contest and quit were eligible to win $500 if their name was selected; a Breathalyzer CO test was used to confirm smoking cessation for winners.
Outcomes
The primary outcome was the number of brochures picked up by message type. When we replaced brochures weekly in each location (no sites ran out), we counted the number of brochures picked up the prior week by message type and site. This measure proxies for interest in the message, and likely interest in trying to quit. Similarly, picking up a financial message is indicative of greater interest in financial versus health motivation to quit, and vice versa.
We also recorded the number of brochures by message type sent in to participate in the Quit-and-Win lottery, which was our secondary measure.
RESULTS
Over the eight-week period across all locations, 1,487 brochures were picked up. Of these, 828 displayed financial messages and 659 displayed health messages. Financial message brochures were picked up more frequently overall—56% were financial, which is significantly different from the health selection rate (p<.0001) (see Table 1). This supports the hypothesis that the financial message was more compelling among this low-income population.
TABLE 1.
Number of brochures picked up and sent in by health and financial message type (Tests of significant differences by message type*)
| MESSAGE TYPE | # PICKED UP | # SENT IN |
|---|---|---|
| Financial | 828 | 21 |
| Health | 659 | 15 |
| Total | 1487 | 36 |
| % Financial of total | 56% | 58% |
| Statistical level of test of difference: p- value * |
.0001 | .0524 |
Two tailed tests, one sample proportion z-tests using as the null hypothesis an equal probability of financial and health message brochures being picked up (or sent in) are used.
Note that we compared the p-values using alternative methods and our results are robust across a set of alternatives.
As predicted, financial brochures were even more likely to be picked up in financial locations (63%) compared to neutral (57%), or health (52%) locations (see Table 2). Differences between pickup rates of financial and health messages were significant across sites in comparison of financial versus health locations; and health versus neutral locations. However, there were no significant differences across neutral versus financial sites as both had high pickup rates for financial brochures. These results generally confirmed the expectation that the financial message would be most salient overall and selected most often in locations where the financial focus was most pertinent.
TABLE 2.
Number and type of health and financial message brochures picked up and sent in by location type (Tests of significant differences by message type*)
| FINANCIAL: CHECK CASHING |
HEALTH: CLINIC |
NEUTRAL: GROCERIES |
|
|---|---|---|---|
| # Financial messages picked up |
124 | 335 | 369 |
| # Health messages picked up | 74 | 313 | 272 |
| Total picked up at site type |
198 | 648 | 641 |
| % Financial of total picked up | 63% | 52% | 57% |
| Statistical level of test of difference: p-value : | |||
| i) Difference financial vs. health messages at each location* |
.0005 | .0422 | .0009 |
| ii) Difference financial vs. health messages across locations** |
Compare financial to:
|
Compare health to
|
|
Two tailed tests, one sample proportion z-tests using as the null hypothesis an equal probability of financial and health message brochures being picked up (or sent in) are used.
Two tailed, two population, Chi squared tests using as the null equal probability by message type.
Note that we compared the p-values using alternative methods and our results are robust across a set of alternatives.
For our secondary outcome, the financial message, as compared to health, was submitted by more individuals to the Quit-and-Win contest as well, but the sample size (36) was too small to detect a significant difference. Only 2.5% and 2.2% of the financial and health brochures respectively were selected. The brochure complexity and length may have deterred individuals from submitting their contest applications. This complexity was due to IRB requirements, Quitline information needed, and information needed for awarding prizes.
DISCUSSION AND CONCLUSIONS
We found the financial message may generate greater interest in quitting than the health message, and the financial message may be even more powerful in financial settings. Importantly, financial gains are more immediate and certain compared to health gains. The financial motivation may be particularly strong for low-income populations. The financial motivation might be relatively more effective because current smokers tend to be disproportionately poorer and/or because it has been less emphasized. To the extent that the financial message is novel, its impact could diminish over time. Our findings suggest that the financial message to quit should be more central to policy efforts to motivate quitting.
Demonstrating that sites such as grocery stores and check-cashing facilities can be effective in stimulating interest in smokers to the gains from quitting, opens new avenues for delivering smoking cessation messages and may help reach neglected populations. Priming individuals about financial gains to quitting by delivering the message in financial-related outlets may make the message more effective and enhance motivation. Grocery stores, banks, check-cashing locations, tax preparation offices, and gas stations could each provide ‘teachable moments’. For example, a grocery store visit in the financial tight period just before the next food stamp payment may provide a period of high-motivation to quit for financial reasons in low-income populations.
We add to the literature in several dimensions. To our knowledge, no other field study has compared the financial to health message in motivating smokers to quit. More generally, few, if any studies have focused on comparative effectiveness of financial versus health message in different types of settings. Further, our study used rigorous field study and message-framing methods to assess alternative frames of messages to motivate quitting. Importantly, we targeted inner-city, low-education, low-income, and minority populations (including Spanish-speaking). As smoking is increasingly confined to vulnerable populations our findings have important policy implications.
While we contend we have advanced the field in several dimensions, naturally our study has some weaknesses. First, we do not have direct data on how many people actually quit smoking; instead we use selection of the brochure as a proxy for interest in quitting. Unfortunately, there is no literature to on the relationship between demonstrating interest by taking a brochure and quitting. However, interest is a necessary step may serve as a proxy both motivation and action. Second, the results may not be generalizable across different geographic regions. Third, we are not able to determine how many individuals noticed the brochures at each site. More research is needed, but we believe the findings may open new opportunities to motivate smoking cessation.
Helping low-income individuals quit smoking is a strategy both for improving population health and for reducing the impact of poverty. Providing salient, effective financial messages to vulnerable populations may help address smoking, health, and, indirectly, income disparities. Savings from quitting are substantial, especially over a life-time and are important for low-income populations. Encouraging success in reducing smoking is timely given the current economic downturn and financial pressures on low-income individuals. Opening new venues, such as banks, for motivating smoking cessation is important given the tight time constraints in medical clinics; furthermore, the location can enhance the effectiveness of the smoking cessation message by priming smokers to focus on the financial gains.
Further research could determine how to optimally frame the financial messages, tailor them to specific populations, and test them in non-medical sites and on a broader scale. The messages could be developed for use in traditional venues such as public announcements, warning labels on packages of cigarettes, and phone-in quitlines to help smokers quit. Alternative delivery venues for the financial message could be used as well, such as a displaying the message at bus stops or putting brochures in grocery bags. With passive delivery of the message, the effectiveness may be relatively low, but so would be the cost of reaching each smoker. Motivating cessation at peak times of the year when people are more concerned about their income (e.g., holidays, such as Christmas) might further enhance the costeffectiveness of such approaches. Further, the expectation of financial savings could be used to motivate smokers to ‘nvest’ in smoki ng cessati on products or counse li ng.
Supplementary Material
HIGHLIGHTS.
We compared effectiveness of financial versus health smoking cessation messages.
Messages were displayed in financial, health and neutral sites in low-income areas.
Financial messages, especially in financial settings, attracted more attention.
• Findings suggest opportunities for new cessation outreach methods and venues.
Acknowledgements
This work was supported by: 1) a Community Alliance Research and Engagement (CARE) Research Partnership Program grant (Drs. Stephanie O‘Malley and Jody Sindelar, PIs) from the Yale Center for Clinical Investigation (YCCI); 2) the NIH Roadmap for Medical Research Common Fund through Grant Number RL1-AA017542 (Dr. Sindelar, PI) from the National Institute on Alcohol Abuse and Alcoholism (NIAAA); 3) the Transdisciplinary Tobacco Use Research Center (TTURC) at Yale, under CENTURY, the Center for Nicotine and Tobacco Use Research at Yale, funded by NIAAA Grant No. P50AA15632 (Dr. O‘Malley, PI); 4) Grant Number R21DA032905 (Dr. Sindelar, PI) from the National Institute on Drug Abuse (NIDA); and 5) the State of Connecticut Department of Mental Health and Addiction Services (DMHAS). The content is solely the responsibility of the authors and does not necessarily represent the official views of CARE, DMHAS, NIAAA, NIDA, NIH, or YCCI.
We wish to thank the following people for their help and input: Ann Agro, Vanessa Costa-Massimo, Yanhong Deng, Josefa Martinez, Elizabeth Pomery, Peter Salovey, Kiersten Strombotne, Nicholas Torsiello and Maurice Williams at Yale; and Luz Gonzalez at Hispanos Unidos. A special thank you goes to Kurt Petschke, Research and Project Coordinator at the Yale School of Public Health.
Footnotes
Conflict of Interest
The authors declare there is no conflict of interest.
References
- Agrawal A, Sartor C, Pergadia ML, Huizink AC, Lynskey MT. Correlates of smoking cessation in a nationally representative sample of U.S. adults. Addictive Behavior. 2008;33(9):1223–1226. doi: 10.1016/j.addbeh.2008.04.003. doi: 10.1016/j.addbeh.2008.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boonn A. State excise and sales taxes per pack of cigarettes: Total amounts & state rankings. Campaign for Tobacco Free Kids. 2013 Aug 21; http://www.tobaccofreekids.org/research/factsheets/pdf/0202.pdf, accessed September 30, 2013.
- Busch SH, Jofre-Bonet M, Falba TA, Sindelar JL. Burning a hole in the budget: Tobacco spending and its crowd-out of other goods. Applied Health Economics and Health Policy. 2004;3(4):263–272. doi: 10.2165/00148365-200403040-00009. doi: 10.2165/00148365-200403040-00009. [DOI] [PubMed] [Google Scholar]
- Centers for Disease Control and Prevention2008 November 14 Cigarette smoking among adults— United States, 2007. MMWR Morb Mortal Wkly Rep. 57(45):1221–1226. [PubMed] [Google Scholar]
- Centers for Disease Control and Prevention 2009 November 13 Cigarette smoking among adults and trends in smoking cessation—United States, 2008. MMWR Morb Mortal Wkly Rep. 58(44):1227–1232. http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5844a2.htm, accessed September 17, 2011. [PubMed] [Google Scholar]
- Chaloupka FJ, Warner KE. The Economics of Smoking. In: Cuyler A, Newhouse J, editors. Handbook of Health Economics. Elsevier Science; North-Holland, Netherlands: 2000. doi: 10.1016/S1574-0064(00)80042-6. [Google Scholar]
- Community Alliance for Research and Engagement (CARE) 2000 Documenting the Health of Our Neighborhoods. upublished document, Yale School of Public Health. http://care.yale.edu/resources/446_104112_6NeighborhoodSummary07162010.pdf, accessed September 17, 2011.
- Fiore MC. Preventing 3 million premature deaths, helping 5 million smokers quit: A national action plan for tobacco cessation. Center for Tobacco Cessation. 2003 doi: 10.2105/ajph.94.2.205. http://ctcinfo.org/upload/National_Action_Plan_Tobacco_Cessation.pdf, accessed October 10, 2005. [DOI] [PMC free article] [PubMed]
- Flint AJ, Novotny TE. Poverty status and cigarette smoking prevalence and cessation in the United States, 1983–1993: The independent risk of being poor. Tobacco Control. 1997;6(1):4–18. doi: 10.1136/tc.6.1.14. doi:10.1136/tc.6.1.14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frederick S, Novemsky N, Wang J, Dhar R, Nowlis S. Opportunity cost neglect in consumer choice. Journal of Consumer Research. 2009;36:553–61. doi: 10.1086/599764. [Google Scholar]
- Gallet C, List JA. Cigarette demand: A meta-analysis of elasticities. Health Economics. 2003;12:821–835. doi: 10.1002/hec.765. doi: 10.1002/hec.765, doi: 10.1002/hec.765. [DOI] [PubMed] [Google Scholar]
- Hahn EJ, Ryens MK, Chirila C, Riker CA, Paul TP, Warnick TA. Effectiveness of a quit and win contest with a low-income population. Preventive Medicine. 2004;39(3):543–50. doi: 10.1016/j.ypmed.2004.02.012. doi: 10.1016/j.ypmed.2004.02.012. [DOI] [PubMed] [Google Scholar]
- Hey K, Perera R. Quit and win contests for smoking cessation. Cochrane Database of Systematic Reviews. 2005;18:CD004986. doi: 10.1002/14651858.CD004986.pub2. doi: 10.1002/14651858.CD004986.pub2. [DOI] [PubMed] [Google Scholar]
- Hickey M. Medill Reports - Chicago. Northwestern University; 2012. Chicago's cigarette tax could approach New York's. http://news.medill.northwestern.edu/chicago/news.aspx?id=209332, accessed September 30, 2013. [Google Scholar]
- Higgins ST, Washio Y, Heil SH, Solomon LJ, Gaalema DE, Higgins TM, Bernstein IM. Financial incentives for smoking cessation among pregnant and newly postpartum wo men. Preventive Medicine. 2012;55:S33–40. doi: 10.1016/j.ypmed.2011.12.016. Supplement. doi: 10.1016/j.ypmed.2011.12.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jha P, Chaloupka FJ, Corrao M, Jacob B. Reducing the burden of smoking world-wide: effectiveness of interventions and their coverage. Drug Alcohol Rev. 2006 Nov;25(6):597–609. doi: 10.1080/09595230600944511. doi: 10.1080/09595230600944511. [DOI] [PubMed] [Google Scholar]
- Lussier JP, Heil SH, Mongeon JA, Badger GJ, Higgins ST. A meta-analysis of voucher-based reinforcement therapy for substance use disorders. Addiction. 2006;101(2):192–203. doi: 10.1111/j.1360-0443.2006.01311.x. doi: 10.1111/j.1360-0443.2006.01311.x. [DOI] [PubMed] [Google Scholar]
- O'Connor R, Fix B, Celestino P, Carlin-Menter S, Hyland A, Cummings KM. Financial incentives to promote smoking cessation: Evidence from 11 quit and win contests. Journal of Public Health Management Practice. 2006;12(1):44–51. doi: 10.1097/00124784-200601000-00010. http://www.ncbi.nlm.nih.gov/pubmed/16340515, accessed September 17, 2011. [DOI] [PubMed] [Google Scholar]
- Rothman AJ, Bartels RD, Wlaschin J, Salovey P. The strategic use of gain- and loss-framed messages to promote healthy behavior: How theory can inform practice. Journal of Communication. 2006;56:S202–S220. ISSN 0021-9916, doi:10.1111/j.1460-2466.2006.00290.x. [Google Scholar]
- Schneider TR, Salovey P, Pallonen U, Mundorf N, Smith NF, Steward WT. Visual and auditory message framing effects on tobacco smoking. Journal of Applied Social Psychology. 2001;31(4):667–682. doi: 10.1111/j.1559-1816.2001.tb01407.x. [Google Scholar]
- Sigmon SC, Patrick ME. T he use of financial incentives in promoting smoki ng ces s ati on. Preventive Medicine. 2012;55:S24–32. doi: 10.1016/j.ypmed.2012.04.007. Supplement. doi: 10.1016/j.ypmed.2012.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stead M, MacAskill S, MacKintosh AM, Reece J, Eadie D. It’s as if you’re locked in”: Qualitative explanations for area effects on smoking in disadvantaged communities. Health Place. 2001;7(4):333–343. doi: 10.1016/s1353-8292(01)00025-9. doi: 10.1016/S1353-8292(01)00025-9. [DOI] [PubMed] [Google Scholar]
- Toll BA, O‘Malley SS, Katulak NA, Wu R, Dubin JA, Latimer A. Comparing gain-and loss-framed messages for smoking cessation with sustained-release bupropion: A randomized controlled trial. Psychological Addictive Behaviors. 2007;21(4):534–544. doi: 10.1037/0893-164X.21.4.534. doi: 10.1037/0893-164X.21.4.534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Toll BA, Martino S, Latimer A, et al. Randomized trial: Quitline specialist training in gain-framed vs standard-care messages for smoking cessation. Journal of the National Cancer Institute. 2010;102(2):96–106. doi: 10.1093/jnci/djp468. doi: 10.1093/jnci/djp468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- United States Department of Health, Education and Welfare . Government Report. Public Health Service; Washington, DC: 1964. Smoking and Health: Report of the Advisory Committee to the Surgeon General of the Public Health Service. Publication 1103, http://profiles.nlm.nih.gov/ps/retrieve/ResourceMetadata/NNBBMQ, accessed September 17, 2011. [Google Scholar]
- United States Department of Health and Human Services . Government Report. USDHHS, CDC Center for Chronic Disease Prevention and Health Promotion, Office of Smoking and Health; Atlanta, GA: 2000. Reducing tobacco use: A report of the Surgeon General. http://www.cdc.gov/tobacco/data_statistics/sgr/2000/complete_report/index.htm, accessed September 17, 2011. [Google Scholar]
- Volpp KG, Gurmankin LA, Asch DA, et al. A randomized controlled trial of financial incentives for smoking cessation. Cancer Epidemiology Biomarkers Prevention. 2006;15(1):12–8. doi: 10.1158/1055-9965.EPI-05-0314. doi: 10.1158/1055-9965.EPI-05-0314. [DOI] [PubMed] [Google Scholar]
- Volpp KG, Troxel AB, Pauly MV, et al. A randomized controlled trial of financial incentives for smoking cessation. New England Journal of Medicine. 2009;360(7):699–709. doi: 10.1056/NEJMsa0806819. doi: 10.1056/NEJMsa0806819. [DOI] [PubMed] [Google Scholar]
- Wang H, Sindelar JL, Busch SH. The impact of tobacco expenditure on household consumption patterns in Rural China. Social Science Medicine. 2006;62(6):1414–26. doi: 10.1016/j.socscimed.2005.07.032. doi: 10.1016/j.socscimed.2005.07.032. [DOI] [PubMed] [Google Scholar]
- Wells GL, Windschitl PD. Stimulus sampling and social psychological experimentation. Personality and Social Psychology Bulletin. 1999;25(9):1115–1125. doi: 10.1177/01461672992512005. [Google Scholar]
- Xin Y, Qian J, Xu L, Tang S, Gao J, Critchley JA. The impact of smoking and quitting on household expenditure patterns and medical care costs in China. Tobacco Control. 2009;18(2):50–155. doi: 10.1136/tc.2008.026955. doi:10.1136/tc.2008.026955. [DOI] [PMC free article] [PubMed] [Google Scholar]
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