Incorporating biomarkers of exposure and genetic susceptibility into smoking cessation treatment: effects on smoking-related cognitions, emotions, and behavior change

Biomedical risk assessment as an aid for smoking cessation

BACKGROUND

A possible strategy for increasing smoking cessation rates could be to provide smokers with feedback on the current or potential future biomedical effects of smoking using, for example, measurement of exhaled carbon monoxide (CO), lung function, or genetic susceptibility to lung cancer or other diseases.

OBJECTIVES

The main objective was to determine the efficacy of providing smokers with feedback on their exhaled CO measurement, spirometry results, atherosclerotic plaque imaging, and genetic susceptibility to smoking-related diseases in helping them to quit smoking.

SEARCH METHODS

For the most recent update, we searched the Cochrane Tobacco Addiction Group Specialized Register in March 2018 and ClinicalTrials.gov and the WHO ICTRP in September 2018 for studies added since the last update in 2012.

SELECTION CRITERIA

Inclusion criteria for the review were: a randomised controlled trial design; participants being current smokers; interventions based on a biomedical test to increase smoking cessation rates; control groups receiving all other components of intervention; and an outcome of smoking cessation rate at least six months after the start of the intervention.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. We expressed results as a risk ratio (RR) for smoking cessation with 95% confidence intervals (CI). Where appropriate, we pooled studies using a Mantel-Haenszel random-effects method.

MAIN RESULTS

We included 20 trials using a variety of biomedical tests interventions; one trial included two interventions, for a total of 21 interventions. We included a total of 9262 participants, all of whom were adult smokers. All studies included both men and women adult smokers at different stages of change and motivation for smoking cessation. We judged all but three studies to be at high or unclear risk of bias in at least one domain. We pooled trials in three categories according to the type of biofeedback provided: feedback on risk exposure (five studies); feedback on smoking-related disease risk (five studies); and feedback on smoking-related harm (11 studies). There was no evidence of increased cessation rates from feedback on risk exposure, consisting mainly of feedback on CO measurement, in five pooled trials (RR 1.00, 95% CI 0.83 to 1.21; I² = 0%; n = 2368). Feedback on smoking-related disease risk, including four studies testing feedback on genetic markers for cancer risk and one study with feedback on genetic markers for risk of Crohn's disease, did not show a benefit in smoking cessation (RR 0.80, 95% CI 0.63 to 1.01; I² = 0%; n = 2064). Feedback on smoking-related harm, including nine studies testing spirometry with or without feedback on lung age and two studies on feedback on carotid ultrasound, also did not show a benefit (RR 1.26, 95% CI 0.99 to 1.61; I² = 34%; n = 3314). Only one study directly compared multiple forms of measurement with a single form of measurement, and did not detect a significant difference in effect between measurement of CO plus genetic susceptibility to lung cancer and measurement of CO only (RR 0.82, 95% CI 0.43 to 1.56; n = 189).

AUTHORS' CONCLUSIONS

There is little evidence about the effects of biomedical risk assessment as an aid for smoking cessation. The most promising results relate to spirometry and carotid ultrasound, where moderate-certainty evidence, limited by imprecision and risk of bias, did not detect a statistically significant benefit, but confidence intervals very narrowly missed one, and the point estimate favoured the intervention. A sensitivity analysis removing those studies at high risk of bias did detect a benefit. Moderate-certainty evidence limited by risk of bias did not detect an effect of feedback on smoking exposure by CO monitoring. Low-certainty evidence, limited by risk of bias and imprecision, did not detect a benefit from feedback on smoking-related risk by genetic marker testing. There is insufficient evidence with which to evaluate the hypothesis that multiple types of assessment are more effective than single forms of assessment.

Beyond medical actionability: Public perceptions of important actions in response to hypothetical genetic testing results

Rationales for returning results from whole genome sequencing (WGS) and genetic testing have historically focused on medical utility. Understanding the wide array of actions individuals might take following genetic testing results could have important implications for clinical care. We aimed to survey the public regarding their perceptions of the importance of a wide variety of different actions one might take upon receiving hypothetical results from a WGS test where the results indicate a high risk of developing a genetic condition. We assessed whether demographic characteristics, type of condition, and perceived severity of the condition differentially affected importance ratings of actions they would take. In a survey administered at the 2015 Minnesota State Fair, 909 participants imagined that they had a blood test that looked at their genes and indicated that they were at high risk of developing one of three randomized conditions (Alzheimer's disease, macular degeneration, or colon cancer). Participants rated the importance of 35 actions. Principal component analysis, used to categorize actions, yielded eight categories: (1) medical management and communication; (2) partner support; (3) support and life fulfillment; (4) diet and exercise; (5) distal planning; (6) religion/spiritual support; (7) reproductive actions; and (8) proximal planning. Participants rated a wide range of actions as important, with medical management and communication, and partner support receiving the highest mean ratings. Linear regression yielded significant associations between importance ratings and demographics variables (age and gender), genetic condition, and perceived severity of the condition for different action categories. Genetic counselors and other healthcare professionals should consider a variety of possible patient actions beyond medical actionability when discussing genetic testing results.

Learning one's genetic risk changes physiology independent of actual genetic risk

Millions of people now access personal genetic risk estimates for diseases such as Alzheimer's, cancer and obesity¹. While this information can be informative^2-4, research on placebo and nocebo effects^5-8 suggests that learning of one's genetic risk may evoke physiological changes consistent with the expected risk profile. Here we tested whether merely learning of one's genetic risk for disease alters one's actual risk by making people more likely to exhibit the expected changes in gene-related physiology, behaviour and subjective experience. Individuals were genotyped for actual genetic risk and then randomly assigned to receive either a 'high-risk' or 'protected' genetic test result for obesity via cardiorespiratory exercise capacity (experiment 1, N = 116) or physiological satiety (experiment 2, N = 107) before engaging in a task in which genetic risk was salient. Merely receiving genetic risk information changed individuals' cardiorespiratory physiology, perceived exertion and running endurance during exercise, and changed satiety physiology and perceived fullness after food consumption in a self-fulfilling manner. Effects of perceived genetic risk on outcomes were sometimes greater than the effects associated with actual genetic risk. If simply conveying genetic risk information can alter actual risk, clinicians and ethicists should wrestle with appropriate thresholds for when revealing genetic risk is warranted.

Can brain games help smokers quit?: Results of a randomized clinical trial

BACKGROUND AND AIMS

Deficits in cognitive function are observed during nicotine withdrawal and present a challenge to successful smoking cessation. This clinical trial evaluated a cognitive exercise training (CT) program to improve smoking cessation rates.

METHODS

Adult treatment-seeking smokers (n=213) were randomized to receive nicotine patch therapy and 12 weeks of either computerized CT or computerized relaxation (control) training. Smoking status was biochemically verified at the end of treatment and 6-month follow-up.

RESULTS

Quit rates did not differ by treatment arm at either time-point, nor were there effects on withdrawal symptoms or smoking urges. Reaction time for emotion recognition and verbal interference tasks showed improvement in the CT group. When including only successful quitters, improvements in recognition memory, verbal interference accuracy, and attention switching error rate were also observed in the CT group, while commission errors on the continuous performance task decreased in the control group.

CONCLUSIONS

Despite modest changes in cognitive performance, these results do not support the efficacy of computerized cognitive training as an adjunctive therapy for smoking cessation.

Threat appeals in health communication: messages that elicit fear and enhance perceived efficacy positively impact on young male drivers

Background

Health communications often present graphic, threat-based representations of the potential consequences of health-risk behaviours. These ‘threat appeals’ feature prominently in public health campaigns, but their use is controversial, with studies investigating their efficacy reporting inconsistent, and often negative, findings. This research examined the impact of a threat-based road safety advertisement on the driving behaviour of young male drivers.

Methods

To address limitations of previous research, we first identified a road safety advertisement that objectively and subjectively elicited fear using physiological and subjective measures. Study 1 (n = 62) examined the effect of this advertisement, combined with a manipulation designed to increase perceived efficacy, on speed choice. Study 2 (n = 81) investigated whether a state emotion, anger, impacts on the effectiveness of the advertisement in changing four distinct driving behaviours. Both studies examined short-term effects only.

Results

Study 1 findings indicated that a high threat message, when combined with high perceived efficacy, can lead to a decrease in speed choice. Study 2 results suggested that increased levels of state anger may counteract the potential value of combining fear-arousing threats and efficacy-building messages.

Conclusions

Findings suggest that threat-based road safety communications that target affective (fear) and cognitive (perceived efficacy) mechanisms can positively affect driving behaviours. State emotions, such as anger, may negatively impact on the effectiveness of the message. Taken together, these findings provide additional support for the use of efficacy-building messages in threat-based communications, but highlight the need for further research into the complex array of affective influences on driving.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-016-3227-2) contains supplementary material, which is available to authorized users.

Will Genetic Testing for Complex Diseases Increase Motivation to Quit Smoking? Anticipated Reactions in a Survey of Smokers

The aim of this study was to improve understanding of smokers’ potential reactions to genetic testing for smoking-related diseases. One thousand twenty-four respondents completed a postal survey; 186were smokers. Questions addressed anticipated psychological and behavioral reactions to genetic test results using hypothetical scenarios. Of smokers, 65% anticipated being motivated to quit smoking upon receiving a positive genetic test result; 39% anticipated being demotivated by a negative result. More smokers anticipated being depressed in response to receiving a positive result for cancer than for heart disease (40% vs. 24%). Anticipated motivation was associated with higher desire to quit and lower nicotine addiction, anticipated depression with poorer understanding of genetic testing, and anticipated demotivation with lower education. Smokers who have a high desire to quit may use genetic testing as a motivational tool. Understanding of genetics may be important in determining how individuals respond to genetic tests for complex diseases.

The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis

OBJECTIVE

To assess the impact of communicating DNA based disease risk estimates on risk-reducing health behaviours and motivation to engage in such behaviours.

DESIGN

Systematic review with meta-analysis, using Cochrane methods.

DATA SOURCES

Medline, Embase, PsycINFO, CINAHL, and the Cochrane Central Register of Controlled Trials up to 25 February 2015. Backward and forward citation searches were also conducted.

STUDY SELECTION

Randomised and quasi-randomised controlled trials involving adults in which one group received personalised DNA based estimates of disease risk for conditions where risk could be reduced by behaviour change. Eligible studies included a measure of risk-reducing behaviour.

RESULTS

We examined 10,515 abstracts and included 18 studies that reported on seven behavioural outcomes, including smoking cessation (six studies; n=2663), diet (seven studies; n=1784), and physical activity (six studies; n=1704). Meta-analysis revealed no significant effects of communicating DNA based risk estimates on smoking cessation (odds ratio 0.92, 95% confidence interval 0.63 to 1.35, P=0.67), diet (standardised mean difference 0.12, 95% confidence interval -0.00 to 0.24, P=0.05), or physical activity (standardised mean difference -0.03, 95% confidence interval -0.13 to 0.08, P=0.62). There were also no effects on any other behaviours (alcohol use, medication use, sun protection behaviours, and attendance at screening or behavioural support programmes) or on motivation to change behaviour, and no adverse effects, such as depression and anxiety. Subgroup analyses provided no clear evidence that communication of a risk-conferring genotype affected behaviour more than communication of the absence of such a genotype. However, studies were predominantly at high or unclear risk of bias, and evidence was typically of low quality.

CONCLUSIONS

Expectations that communicating DNA based risk estimates changes behaviour is not supported by existing evidence. These results do not support use of genetic testing or the search for risk-conferring gene variants for common complex diseases on the basis that they motivate risk-reducing behaviour.

SYSTEMATIC REVIEW REGISTRATION

This is a revised and updated version of a Cochrane review from 2010, adding 11 studies to the seven previously identified.

Pregnant Women's Experiences and Views on an "Opt-Out" Referral Pathway to Specialist Smoking Cessation Support: A Qualitative Evaluation

INTRODUCTION

Smoking in pregnancy remains an important and costly public health concern with policy makers worldwide researching methods to aid cessation. UK government guidelines recommend implementation of an "opt-out" (ie, whether requested or not) referral pathway for pregnant smokers to specialist smoking cessation support using carbon monoxide (CO) screening. This study explores the views of pregnant smokers who experienced this new pathway in one UK hospital trust.

METHODS

Eighteen semi-structured telephone interviews with women who experienced the opt-out pathway were undertaken. Data were analyzed thematically.

RESULTS

Three themes were identified relating to expectations, acceptability and impact of the pathway. Women were generally very accepting of the CO testing especially when it met their prior expectations and was perceived as being a routine component of antenatal care. They considered the visual feedback from the CO monitoring improved their motivation to quit. Views on the automatic referral for cessation support were divided with questions raised as to the removal of choice, with many women also expressing dissatisfaction about perceived lack of contact by Stop Smoking Services (SSS) following referral.

CONCLUSION

The opt-out pathway is potentially an acceptable addition to current practice. The women considered CO monitoring to be the most valuable element of the pathway. Women keen to engage with SSS desired a more efficient system of contact.

IMPLICATIONS

This study presents a unique insight into pregnant women's views on the implementation of opt-out referrals for smoking cessation. Introducing CO testing and opt-out referrals at the time of antenatal ultrasound examination can potentially increase motivation to stop smoking in pregnancy. The findings demonstrate that facilitating access to SSS was not always achieved, and further refinement is needed to ensure more effective contact procedures. Ensuring all women are fully informed prior to the CO testing may further improve both the impact of the opt-out referral pathway and the chance of successfully engaging with SSS.

Using ApoE Genotyping to Promote Healthy Lifestyles in Finland - Psychological Impacts: Randomized Controlled Trial

Common health recommendations often incite very little public response, as people instead require individualized information. The purpose of this study was to assess the psychological effects of personal genetic information, provided by different apoE genotypes, as a tool to promote lifestyle changes. This study was a one-year intervention study using healthy adults, aged 20-67 years (n = 107). Their experiences of state anxiety, threat and stage of change were measured three times over a 12 months period. These psychological experiences were assessed, during the genetic information gathering, for three groups: a high-risk group (Ɛ4+, n = 16); a low-risk group (Ɛ4-, n = 35); and a control group (n = 56). The psychological effects of personal genetic risk information were shown to be short-term, although the levels of state anxiety and threat experiences in the high-risk group both remained at a slightly higher level than in the baseline. Threat experiences differed almost significantly (alpha = 0.017) between the Ɛ4+ and Ɛ4- groups (p = 0.034). Information on the apoE genotype impacted the experience of cardiovascular threat; this effect was most intense immediately after genetic feedback was received. However, fears of threat and anxiety may not be an obstacle for using gene information to motivate healthy, stable adults towards making lifestyle changes. Further studies should thus focus on how to utilize genetic screening in prevention of lifestyle-related diseases.

Effect on smoking quit rate of telling smokers their health risk appraisal in terms of health age: a randomized control trial

BACKGROUND

We evaluated whether providing health risk appraisal for Koreans (KHRA) in terms of 'health age' during smoking cessation program would effectively help smokers quit smoking or not.

MATERIALS AND METHODS

A total of 332 male smokers aged between 30-65 years old, registered for a smoking cessation program in a public health center in a city, were recruited and underwent a baseline survey from January 2010 to February 2011. They were then prospectively randomized to a conventional counseling group (n=165) or a KHRA group (n=167), and received conventional counseling or KHRA-based counseling for six months. Abstinence rates were identified through carbon monoxide measurement (at the 4th and 24th weeks) or urinary cotinine level (at the 12th week).

RESULTS

The abstinence rate confirmed by exhaled carbon monoxide was significantly higher in the KHRA group (61.1%) than the control group (49.1%) at the 4th week (absolute difference 12.0%, 95% CI: 1.4%-22.6%). However, there was no difference in abstinence rates between the two groups at the 12th and 24th weeks. The predicting factors of 24 week's smoking cessation success were age, older than 50 years old (OR 2.02, 95% CI: 1.16-3.52), lower Fagerstrom Test for Nicotine Dependence score less than 4 (OR 1.84, 95% CI: 1.03-3.29), and higher Self Efficacy/Temptation score (OR 1.79, 95% CI: 1.05-3.06).

CONCLUSIONS

Smoking cessation counseling with KHRA could be effective compared to conventional counseling in the short period of smoking cessation. Further study is needed to evaluate the long-term efficacy of KHRA in tobacco dependence treatment and to establish the indication and target population of this tool.

A Genetic Lung Cancer Susceptibility Test may have a Positive Effect on Smoking Cessation

Smoking increases the risk of developing lung cancer. Genetic loci have been identified which could form the basis of a lung cancer susceptibility test; but little is known whether such a test would interest or motivate those trying to quit smoking. To address this, we investigated the attitudes of people trying to quit smoking towards genetic susceptibility testing for lung cancer. Participant's attitudes to topics associated with lung cancer susceptibility testing were assessed; were they interested in genetic testing? What impact would a hypothetical high- or low- risk result have on smoking cessation? 680 self-completion questionnaires were given to individuals attending National Health Service stop smoking clinics in three different areas of the United Kingdom between 2011 and 2012. 139 questionnaires were returned, giving a 20 % response rate. Participants expressed an interest in a genetic susceptibility test for lung cancer and almost all reported that a high-risk result would increase their motivation to stop smoking. However, many participants had a neutral attitude towards a low-risk result. Most participants agreed their smoking habit could lead to lung cancer. Lung cancer susceptibility testing may be a useful incentive to help people quit smoking. This study suggests the need for genetic services to work with smoking cessation teams if routine testing becomes available in the future.

The promise of using personalized genomic information to promote behavior change: is the debate over, or just beginning?

Over recent years, significant debate has centered on whether and how communication of personalized genomic risk information can positively influence health behavior change. Several thoughtful commentaries have cautioned that efforts to incorporate genomic risk feedback to motivate health behavior change have had little success. As a field, we should consider the reasons for this limited success and be strategic in the next steps for this line of research. In this article, we consider several reasons that prior research that integrates personalized genomic information has had relative degrees of success in changing or maintaining health behaviors. We suggest ways forward and outline the possibilities presented by emerging technologies and novel approaches in translational genomic research.

Concerns about unintended negative consequences of informing the public about multifactorial risks may be premature for young adult smokers

BACKGROUND

Many health risks are associated with both genetic and behavioural factors. Concerns have been raised that learning about such multifactorial risks might have detrimental effects on health-related beliefs, cognitions, and affect. However, experimental evidence is sparse.

OBJECTIVE

To explore the effects of reading an online news article about the discovery of a genetic basis for nicotine addiction.

METHODS

Smokers (N = 333) were recruited from the psychology subject pools of two major universities. Participants were randomly assigned to read one of three news articles: one describing a genetic basis for nicotine addiction and lung cancer obtained from a national news source, one altered to indicate no genetic basis for nicotine addiction and lung cancer, or one unrelated attention control. Participants then completed an online questionnaire, which assessed smoking-related cognitions and affect, and beliefs about nicotine addiction, quitting smoking, and whether the harms of tobacco use are delayed.

RESULTS

There was no statistically significant influence of experimental condition on smoking-related cognitions/affect (ps > .05, η(2)  < .002), beliefs about addiction and quitting (Wilks' λ = .98, p = .66, η(2)  = .01), or delayed harm (ps > .05, η(2)  < .002).

CONCLUSION

Reading an online news article about the presence or absence of a genetic basis for nicotine addiction was not found to change smoking-related cognitions/affect or beliefs among young adult smokers. Concerns about negative effects of multifactorial risk information on health beliefs may be premature. Nevertheless, to effectively translate basic genomics research into effective public health practice, further research should investigate these issues in different populations, via different communication modalities, and for different health outcomes.

STATEMENT OF CONTRIBUTION

What is already known on this subject? Information about the health implications of the interaction between genetics and behaviour is becoming prevalent. Learning about these interactions may reduce perceived risk and intentions to engage in health behaviours. What does this study add? Informing young adult smokers about the genetic basis for nicotine addiction does not affect health beliefs negatively. Responses are not moderated by endorsing the idea of genetic causation or current/experimenter smoking status.

Motivation in the age of genomics: why genetic findings of disease susceptibility might not motivate behavior change

There is a growing consensus that results generated through multiplex genetic tests, even those produced as a part of research, should be reported to providers and patients when they are considered “actionable,” that is, when they could be used to inform some potentially beneficial clinical action. However, there remains controversy over the precise criterion that should be used in identifying when a result meets this standard. In this paper, we seek to refine the concept of “actionability” by exploring one proposed use for genetic test results. We argue that genetic test results indicating that a patient is at risk for developing a chronic health condition should not be considered actionable if the only potential value of that result is to motivate patients to make changes in their health behaviors. Since the empirical research currently available on this question is equivocal, we explore relevant psychological theories of human motivation to demonstrate that current theory does not support the assumption that information about genetic risk will be motivating to most patients in their attempts to make changes in health behaviors.

Patient compliance based on genetic medicine: a literature review

For this literature review, medical literature data bases were searched for studies on patient compliance after genetic risk assessment. The review focused on conditions where secondary or tertiary preventive options exist, namely cancer syndromes (BRCA-related cancer, HNPCC/colon cancer), hemochromatosis, thrombophilia, smoking cessation, and obesity. As a counterpart, patient compliance was assessed regarding medication adherence and medical advice in some of the most epidemiologically important conditions (including high blood pressure, metabolic syndrome, and coronary heart disease) after receiving medical advice based on nongenetic risk information or a combination of genetic and nongenetic risk information. In the majority of studies based on genetic risk assessments, patients were confronted with predictive rather than diagnostic genetic profiles. Most of the studies started from a knowledge base around 10 years ago when DNA testing was at an early stage, limited in scope and specificity, and costly. The major result is that overall compliance of patients after receiving a high-risk estimate from genetic testing for a given condition is high. However, significant behavior change does not take place just because the analyte is "genetic." Many more factors play a role in the complex process of behavioral tuning. Without adequate counseling and guidance, patients may interpret risk estimates of predictive genetic testing with an increase in fear and anxiety.

Behavioral and psychosocial responses to genomic testing for colorectal cancer risk

We conducted a translational genomic pilot study to evaluate the impact of genomic information related to colorectal cancer (CRC) risk on psychosocial, behavioral and communication outcomes. In 47 primary care participants, 96% opted for testing of three single nucleotide polymorphisms (SNPs) related to CRC risk. Participants averaged 2.5 of 6 possible SNP risk alleles (10% lifetime risk). At 3-months, participants did not report significant increases in cancer worry/distress; over half reported physical activity and dietary changes. SNP risk scores were unrelated to behavior change at 3-months. Many participants (64%) shared their SNP results, including 28% who shared results with a physician. In this pilot, genomic risk education, including discussion of other risk factors, appeared to impact patients' health behaviors, regardless of the level of SNP risk. Future work can compare risk education with and without SNP results to evaluate if SNP information adds value to existing approaches.

Biomedical risk assessment as an aid for smoking cessation

BACKGROUND

A possible strategy for increasing smoking cessation rates could be to provide smokers who have contact with healthcare systems with feedback on the biomedical or potential future effects of smoking, e.g. measurement of exhaled carbon monoxide (CO), lung function, or genetic susceptibility to lung cancer.

OBJECTIVES

To determine the efficacy of biomedical risk assessment provided in addition to various levels of counselling, as a contributing aid to smoking cessation.

SEARCH METHODS

For the most recent update, we searched the Cochrane Collaboration Tobacco Addiction Group Specialized Register in July 2012 for studies added since the last update in 2009.

SELECTION CRITERIA

Inclusion criteria were: a randomized controlled trial design; subjects participating in smoking cessation interventions; interventions based on a biomedical test to increase motivation to quit; control groups receiving all other components of intervention; an outcome of smoking cessation rate at least six months after the start of the intervention.

DATA COLLECTION AND ANALYSIS

Two assessors independently conducted data extraction on each paper, with disagreements resolved by consensus. Results were expressed as a relative risk (RR) for smoking cessation with 95% confidence intervals (CI). Where appropriate, a pooled effect was estimated using a Mantel-Haenszel fixed-effect method.

MAIN RESULTS

We included 15 trials using a variety of biomedical tests. Two pairs of trials had sufficiently similar recruitment, setting and interventions to calculate a pooled effect; there was no evidence that carbon monoxide (CO) measurement in primary care (RR 1.06, 95% CI 0.85 to 1.32) or spirometry in primary care (RR 1.18, 95% CI 0.77 to 1.81) increased cessation rates. We did not pool the other 11 trials due to the presence of substantial clinical heterogeneity. Of the remaining 11 trials, two trials detected statistically significant benefits: one trial in primary care detected a significant benefit of lung age feedback after spirometry (RR 2.12, 95% CI 1.24 to 3.62) and one trial that used ultrasonography of carotid and femoral arteries and photographs of plaques detected a benefit (RR 2.77, 95% CI 1.04 to 7.41) but enrolled a population of light smokers and was judged to be at unclear risk of bias in two domains. Nine further trials did not detect significant effects. One of these tested CO feedback alone and CO combined with genetic susceptibility as two different interventions; none of the three possible comparisons detected significant effects. One trial used CO measurement, one used ultrasonography of carotid arteries and two tested for genetic markers. The four remaining trials used a combination of CO and spirometry feedback in different settings.

AUTHORS' CONCLUSIONS

There is little evidence about the effects of most types of biomedical tests for risk assessment on smoking cessation. Of the fifteen included studies, only two detected a significant effect of the intervention. Spirometry combined with an interpretation of the results in terms of 'lung age' had a significant effect in a single good quality trial but the evidence is not optimal. A trial of carotid plaque screening using ultrasound also detected a significant effect, but a second larger study of a similar feedback mechanism did not detect evidence of an effect. Only two pairs of studies were similar enough in terms of recruitment, setting, and intervention to allow meta-analyses; neither of these found evidence of an effect. Mixed quality evidence does not support the hypothesis that other types of biomedical risk assessment increase smoking cessation in comparison to standard treatment. There is insufficient evidence with which to evaluate the hypothesis that multiple types of assessment are more effective than single forms of assessment.

Impact of genetic testing on causal models of heart disease and arthritis: An analogue study

Abstract An analogue study investigated the impact of genetic testing on perceptions of disease. Using a 2 × 2 design, participants (n = 212) imagined receiving the information that they were at increased risk for either heart disease or arthritis. The type of risk information was either genetic or unspecified. Presentation of genetic risk information resulted in the condition being perceived as less preventable. Causal models of disease where investigated using principal components analysis. When hem disease was the stimulus condition, attributions to genes and chance were positively associated following unspecified risk information, and negatively associated following genetic risk information. When arthritis was the stimulus condition, presentation of genetic risk information was associated with attributions to genes becoming separated from the other attributions. One explanation for this is that providing genetic risk information may decrease perceptions of a sense of randomness or uncertainty in disease causation. The extent to which these effects occur in clinical populations. and their behavioural consequences. needs to be established.

A randomized trial of genetic information for personalized nutrition

Personal genetic information has become increasingly accessible to the public as a result of direct-to-consumer (DTC) genetic tests; however, concerns have been raised over their value and potential risks. We compared the effects of providing genotype-based dietary advice with general recommendations on behavioral outcomes using a randomized controlled study. Participants were men and women from the Toronto Nutrigenomics and Health Study between the ages of 20-35 years (n = 149) who completed a survey to assess their awareness of DTC genetic tests and nutrigenomics, as well as potential motivations for undergoing genetic testing. Participants were then randomized into an intervention (I) or control (C) group and were given either genotype-based personalized dietary advice or general dietary advice, respectively. A second survey was administered to assess the participants' opinions of the dietary reports they received. A greater proportion of participants in the intervention group agreed that they understood the dietary advice they were given (93% (I) vs. 78% (C); p = 0.009). Participants in the intervention group were more likely to agree that the dietary recommendations they received would be useful when considering their diet (88% (I) vs. 72% (C); p = 0.02) and wanted to know more about the recommendations (95% (I) vs. 76% (C); p < 0.0001). Only 9% of participants in the intervention group reported feeling uneasy about learning their genetic information. These findings suggest that individuals find dietary recommendations based on genetics more understandable and more useful than general dietary advice. Very few feel uneasy about receiving their genetic information that relates to personalized nutrition.

"Is it really worth it to get tested?": primary care patients' impressions of predictive SNP testing for colon cancer

Despite significant progress in genomics research over the past decade, we remain years away from the integration of genomics into routine clinical care. As an initial step toward the implementation of genomic-based medicine, we explored primary care patients' ideas about genomic testing for common complex diseases to help develop future patient education materials and interventions to communicate genomic risk information. We conducted a mixed-methods study with participants from a large primary care clinic. Within four focus groups, we used a semi-structured discussion guide and administered brief pre- and post- discussion quantitative surveys to assess participants' interest, attitudes, and preferences related to testing and receipt of test results. Prior to the discussion, moderators presented a plain-language explanation of DNA and genetics, defined "SNP", and highlighted what is known and unknown about the risks associated with testing for SNPs related to colorectal cancer risk. We used the NVIVO 8 software package to analyze the transcripts from the focus group discussions. The majority of participants (75 %) were "very" or "somewhat interested" in receiving information from a colon cancer SNP test, even after learning about and discussing the small and still clinically uncertain change in risk conferred by SNPs. Reported interest in testing was related to degree of risk conferred, personal risk factors, family history, possible implications for managing health /disease prevention and curiosity about genetic results. Most people (85 %) preferred that genetic information be delivered in person by a healthcare or genetics professional rather than through print materials or a computer. These findings suggest that patients may look to genetic counselors, physicians or other healthcare professionals as gatekeepers of predictive genomic risk information.

Impact of genetic notification on smoking cessation: systematic review and pooled-analysis

Objectives

This study aimed to evaluate the impact of genetic notification of smoking-related disease risk on smoking cessation in the general population. Secondary objectives were to assess the impact of genetic notification on intention-to-quit smoking and on emotional outcomes as well as the understanding and the recall of this notification.

Methods

A systematic review of articles from inception to August 2011 without language restriction was realized using PubMed, Embase, Scopus, Web of Science, PsycINFO and Toxnet. Other publications were identified using hand search. The pooled-analysis included only randomized trials. Comparison groups were (i) high and low genetic risk versus control, and (ii) high versus low genetic risk. For the pooled-analysis random effect models were applied and sensitivity analyses were conducted.

Results

Eight papers from seven different studies met the inclusion criteria of the review. High genetic risk notification was associated with short-term increased depression and anxiety. Four randomized studies were included in the pooled-analysis, which revealed a significant impact of genetic notification on smoking cessation in comparison to controls (clinical risk notification or no intervention) in short term follow-up less than 6 months (RR = 1.55, 95% CI 1.09–2.21).

Conclusions

In short term follow-up, genetic notification increased smoking cessation in comparison to control interventions. However, there is no evidence of long term effect (up to 12 month) on smoking cessation. Further research is needed to assess more in depth how genetic notification of smoking-related disease could contribute to smoking cessation.

"It's not like judgment day": public understanding of and reactions to personalized genomic risk information

The value of genomic risk assessment depends upon patients making appropriate behavioral changes in response to increased risk leading to disease prevention and early detection. To date, few studies have investigated consumers' response to personalized genomic disease risk information. To address this gap, we conducted semi-structured interviews with 60 adults participating in the Coriell Personalized Medicine Collaborative. The interviews took place after receiving results providing genomic and other risk information for up to eight common complex diseases. We found that participants were most likely to recall results which conferred an increased risk or those of particular personal interest. Participants understood the multi-factorial nature of common complex disease, and generally did not have negative emotional responses or overly deterministic perceptions of their results. Although most participants expressed a desire to use results to improve their health, a minority had actually taken action (behavior change or shared results with their doctor) at the time of the interview. These results suggest that participants have a reasonable understanding of genomic risk information and that provision of genomic risk information may motivate behavior change in some individuals; however additional work is needed to better understand the lack of change seen in the majority of participants.

Young smokers' views of genetic susceptibility testing for lung cancer risk: minding unintended consequences

Assessment of smokers' responses to individualized feedback of genetic susceptibility has shown little or no influence on smoking cessation outcomes. One explanation is that smokers may be having unintended responses that undermine the feedback's motivational impact (e.g., fatalism or downplaying risk). In preparation for a large randomized trial with college smokers, we conducted a qualitative pilot study to explore smokers' motives for genetic testing and how these motives might influence interpretation of genetic risk feedback.Prior to reviewing informational materials describing a test for the glutathione S-transferase M1 gene, 33 college smokers (18 to 21 years) participated in a 30 minute, semi-structured, open-ended interview regarding their attitudes on health risks, genetic testing in general, genetic testing for lung cancer risk, and informational needs regarding genetics and genetic testing for lung cancer risk.Two central themes emerged from analysis of the interviews: general impressions of genetic testing and perceived value of genetic testing. Prominent in the second theme was the finding that genetic risk feedback may be unsuccessful in motivating quitting a) due to skepticism about genetic tests, b) participants dismissing genetic feedback as personally irrelevant, and c) participants receiving low risk results justifying continued smoking in light of public health messages that "it's never too late to quit". These findings require careful consideration among health professionals looking to genetic risk feedback as a vehicle to motivate disease prevention or behavior change.

Can genetic risk information for age-related macular degeneration influence motivation to stop smoking? A pilot study

AIMS

Smoking can increase the risk of macular degeneration and this is more than additive if a person also has a genetic risk. The purpose of this study was to examine whether knowledge of genetic risk for age-related macular degeneration (AMD) could influence motivation to quit smoking.

METHODS

A questionnaire-based study of hypothetical case scenarios given to 49 smokers without AMD. Participants were randomly allocated to a generic risk, high genetic risk, or low genetic risk of developing AMD scenario.

RESULTS

Forty-seven percent knew of the link between smoking and eye disease. In all, 76%, 67%, and 46% for the high risk, generic, and low risk groups, respectively, would rethink quitting (P for trend = 0.082). In all, 67%, 40%, and 38.5%, respectively, would be likely, very likely, or would definitely quit in the following month (P for trend = 0.023). Few participants (<16% of any group) were very likely to or would definitely attend a quit smoking session with no difference across groups. In all, 75.5% of participants would consider taking a genetic test for AMD.

CONCLUSION

In this pilot study, a trend was seen for the group given high genetic risk information to be more likely to quit than the generic or low genetic risk groups. Participants were willing to take a genetic test but further work is needed to address the cost benefits of routine genetic testing for risk of AMD. More generic risk information should be given to the public, and health warnings on cigarette packets that 'smoking causes blindness' is a good way to achieve this.

Association of BDNF and COMT genotypes with cognitive processing of anti-smoking PSAs

Anti-smoking public service announcements (PSAs) often use persuasive arguments to attempt to influence attitudes about smoking. The persuasiveness of a PSA has previously been associated with factors that influence the cognitive processing of its message. Genetic factors that influence cognitive processing might thus affect individuals' responses to the persuasive arguments presented in PSAs. In the present study, we examined polymorphisms in the genes encoding brain-derived neurotrophic factor (BDNF Val66Met) and catechol-O-methyltransferase (COMT Val158Met), which affect cognitive processing in the prefrontal cortex, to identify genetic factors associated with self-reported outcomes of message processing, perceived effectiveness and quitting intentions among smokers viewing PSAs. A total of 120 smokers viewed sets of four PSAs that varied with respect to features of argument strength (AS) and message sensation value. We observed significant associations of BDNF genotype with central processing, narrative processing, perceived effectiveness of the anti-smoking PSAs and participant quitting intentions; the BDNF Met allele was associated with lower scores on all these measures. Central processing acted as a mediator of the association of genotype with quitting intentions and perceived effectiveness. There was a significant interaction of COMT genotype by AS in the model of narrative processing, such that individuals homozygous for the COMT Val allele reported higher narrative processing in the high-AS condition but not in the low-AS condition. To our knowledge, this is the first study to identify genetic factors associated with cognitive processing of anti-smoking PSAs.

Impact of communicating personalized genetic risk information on perceived control over the risk: a systematic review

PURPOSE

Much concern has been expressed that feedback of personalized genetic risk information may lead to fatalism, i.e., a lack of perceived control over the risk. This review aimed to assess the strength of evidence for such a view.

METHOD

Electronic databases were searched to find eligible studies, which comprised randomized, controlled trials and analog studies, in which participants in one arm received either real or imagined personalized genetic risk information and assessed perceived control in relation to the treatability or preventability of the health problem.

RESULTS

Inspection of 1340 abstracts resulted in 5 studies meeting the inclusion criteria, involving the prediction of obesity, heart disease, depression, and diabetes. Meta-analyses of the clinical studies revealed no impact of personalized genetic risk information on perceived control in either the short term (pooled standardized mean difference 0.09, 95% confidence interval, -0.51 to 0.70) or longer term (pooled standardized mean difference 0.00, confidence interval, -0.20 to 0.21). Similarly, no impact on perceived control was evident in the three analog studies (pooled standardized mean difference 0.02, confidence interval, -0.17 to 0.20).

CONCLUSION

Few studies have assessed empirically the impact of personalized genetic risk information on fatalism, assessed using perceptions of control over the risk. Limited evidence suggests feedback of genetic risk information may have little impact on such beliefs.

Emotional impact of screening: a systematic review and meta-analysis

BACKGROUND

There is a widely held expectation that screening for disease has adverse emotional impacts. The aim of the current review is to estimate the short (< 4 weeks) and longer term (> 4 weeks) emotional impact of such screening.

METHODS

Studies selected for inclusion were (a) randomised controlled trials in which (b) participants in one arm underwent screening and received test results, and those in a control arm did not, and (c) emotional outcomes were assessed in both arms. MEDLINE via PubMed (1950 to present), EMBASE (1980 to present), PsycINFO (1985 to present) using OVID SP, and CINAHL (1982 to present) via EBSCO were searched, using strategies developed with keywords and medical subject headings. Data were extracted on emotional outcomes, type of screening test and test results.

RESULTS

Of the 12 studies that met the inclusion criteria, six involved screening for cancer, two for diabetes, and one each for abdominal aortic aneurysms, peptic ulcer, coronary heart disease and osteoporosis. Five studies reported data on anxiety, five [corrected] on depression, two on general distress and eight on quality of life assessed between one week and 13 years after screening (median = 1.3 years).Meta-analyses revealed no significant impact of screening on longer term anxiety (pooled SMD 0.01, 95% CI -0.10, 0.11), depression (pooled SMD -0.04, 95% CI -.12, 0.20), or quality of life subscales (mental and self-assessed health pooled SMDs, respectively: 0.03; -0.01, (95% CI -.02, 0.04; 0.00, 95% CI -.04, 0.03).

CONCLUSION

Screening does not appear to have adverse emotional impacts in the longer term (> 4 weeks). Too few studies assessed outcomes before four weeks to comment on the shorter term emotional impact of screening.

Are smokers interested in genetic testing for smoking addiction? A socio-cognitive approach

Genetic advances have made genetically tailored smoking cessation treatments possible. In this study, we examined whether smokers are interested in undergoing a genetic test to identify their genetic susceptibility to nicotine addiction. In addition, we aimed to identify socio-cognitive determinants of smokers' intention to undergo genetic testing. Following the protection motivation theory (PMT), we assessed the following constructs using an online survey among 587 smokers: threat appraisal (i.e. susceptibility and severity), fear, coping appraisal (i.e. response efficacy and self-efficacy), response costs and intention. In addition, knowledge, social norms and information-seeking behaviour were measured. Mean intention rates were 2.57 on a 5-point scale. Intention was significantly associated with threat appraisal and coping appraisal, as predicted by the PMT. Fear of the outcome was negatively associated with the intention to undergo genetic testing, but response costs, knowledge and social influence were not. Intention to undergo genetic testing in turn was positively related to seeking information about genetic testing and genetically tailored smoking cessation treatments. Smokers seem ambivalent or 'on the fence' with regard to undergoing a genetic test for smoking addiction. Socio-cognitive concepts such as susceptibility, severity, response efficacy and self-efficacy may be used to inform or educate smokers about the value of genetically tailored smoking cessation treatments.

Evaluation of a brief web-based genetic feedback intervention for reducing alcohol-related health risks associated with ALDH2

There is increasing interest in health interventions that incorporate genetic risk information. Although genetic feedback has been evaluated as an adjunct to smoking cessation interventions, its efficacy for reducing alcohol-related risks is unknown. The purpose of this study was to evaluate the feasibility, acceptability, and efficacy of a web-based alcohol intervention incorporating genetic feedback and risk information specific to ALDH2 genotype. The ALDH2*2 variant is associated with partial protection against alcohol dependence but confers significantly increased risk for alcohol-related cancers as a function of alcohol exposure. Two hundred Asian-American young adults were randomly assigned to receive web-based personalized genetic feedback or attention-control feedback. Genetic feedback included health risk information specific to alcohol-related cancer or alcohol dependence, depending on genotype. Outcomes included postintervention drinking behavior and theoretical correlates of behavior change. Genetic feedback and risk information resulted in significant reductions in 30-day drinking frequency and quantity among participants with the ALDH2*1/*2 genotype. Genetic feedback was rated highly by participants and also showed some effects on theoretical correlates of behavior change. Results provide initial evidence of the feasibility, acceptability, and brief efficacy of web-based genetic feedback for reducing alcohol-related health risks associated with ALDH2 genotype.

Trial Protocol: Communicating DNA-based risk assessments for Crohn's disease: a randomised controlled trial assessing impact upon stopping smoking

BACKGROUND

Estimates of the risk of developing Crohn's disease (CD) can be made using DNA testing for mutations in the NOD2 (CARD15) gene, family history, and smoking status. Smoking doubles the risk of CD, a risk that is reduced by stopping. CD therefore serves as a timely and novel paradigm within which to assess the utility of predictive genetic testing to motivate behaviour change to reduce the risk of disease. The aim of the study is to describe the impact upon stopping smoking of communicating a risk of developing CD that incorporates DNA analysis. We will test the following main hypothesis:Smokers who are first degree relatives (FDRs) of CD probands are more likely to make smoking cessation attempts following communication of risk estimates of developing CD that incorporate DNA analysis, compared with an equivalent communication that does not incorporate DNA analysis.

METHODS/DESIGN

A parallel groups randomised controlled trial in which smokers who are FDRs of probands with CD are randomly allocated in families to undergo one of two types of assessment of risk for developing CD based on either: i. DNA analysis, family history of CD and smoking status, or ii. Family history of CD and smoking status. The primary outcome is stopping smoking for 24 hours or longer in the six months following provision of risk information. The secondary outcomes are seven-day smoking abstinence at one week and six month follow-ups. Randomisation of 470 smoking FDRs of CD probands, with 400 followed up (85%), provides 80% power to detect a difference in the primary outcome of 14% between randomised arms, at the 5% significance level.

DISCUSSION

This trial provides one of the strongest tests to date of the impact of communicating DNA-based risk assessment on risk-reducing behaviour change. Specific issues regarding the choice of trial design are discussed.

Effects of communicating DNA-based disease risk estimates on risk-reducing behaviours

BACKGROUND

There are high expectations regarding the potential for the communication of DNA-based disease risk estimates to motivate behaviour change.

OBJECTIVES

To assess the effects of communicating DNA-based disease risk estimates on risk-reducing behaviours and motivation to undertake such behaviours.

SEARCH STRATEGY

We searched the following databases using keywords and medical subject headings: Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library, Issue 4 2010), MEDLINE (1950 to April 2010), EMBASE (1980 to April 2010), PsycINFO (1985 to April 2010) using OVID SP, and CINAHL (EBSCO) (1982 to April 2010). We also searched reference lists, conducted forward citation searches of potentially eligible articles and contacted authors of relevant studies for suggestions. There were no language restrictions. Unpublished or in press articles were eligible for inclusion.

SELECTION CRITERIA

Randomised or quasi-randomised controlled trials involving adults (aged 18 years and over) in which one group received actual (clinical studies) or imagined (analogue studies) personalised DNA-based disease risk estimates for diseases for which the risk could plausibly be reduced by behavioural change. Eligible studies had to include a primary outcome measure of risk-reducing behaviour or motivation (e.g. intention) to alter such behaviour.

DATA COLLECTION AND ANALYSIS

Two review authors searched for studies and independently extracted data. We assessed risk of bias according to the Cochrane Handbook for Systematic Reviews of Interventions. For continuous outcome measures, we report effect sizes as standardised mean differences (SMDs). For dichotomous outcome measures, we report effect sizes as odds ratios (ORs). We obtained pooled effect sizes with 95% confidence intervals (CIs) using the random effects model applied on the scale of standardised differences and log odds ratios.

MAIN RESULTS

We examined 5384 abstracts and identified 21 studies as potentially eligible. Following a full text analysis, we included 14 papers reporting results of 7 clinical studies (2 papers report on the same trial) and 6 analogue studies.Of the seven clinical studies, five assessed smoking cessation. Meta-analyses revealed no statistically significant effects on either short-term (less than 6 months) smoking cessation (OR 1.35, 95% CI 0.76 to 2.39, P = 0.31, n = 3 studies) or cessation after six months (OR 1.07, 95% CI 0.64 to 1.78, P = 0.80, n = 4 studies). Two clinical studies assessed diet and found effects that significantly favoured DNA-based risk estimates (OR 2.24, 95% CI 1.17 to 4.27, P = 0.01). No statistically significant effects were found in the two studies assessing physical activity (OR 1.03, 95% CI 0.59 to 1.80, P = 0.92) or the one study assessing medication or vitamin use aimed at reducing disease risks (OR 1.26, 95% CI 0.58 to 2.72, P = 0.56). For the six non-clinical analogue studies, meta-analysis revealed a statistically significant effect of DNA-based risk on intention to change behaviour (SMD 0.16, 95% CI 0.04 to 0.29, P = 0.01).There was no evidence that communicating DNA-based disease risk estimates had any unintended adverse effects. Two studies that assessed fear arousal immediately after the presentation of risk information did, however, report greater fear arousal in the DNA-based disease risk estimate groups compared to comparison groups.The quality of included studies was generally poor. None of the clinical or analogue studies were considered to have a low risk of bias, due to either a lack of clarity in reporting, or where details were reported, evidence of a failure to sufficiently safeguard against the risk of bias.

AUTHORS' CONCLUSIONS

Mindful of the weak evidence based on a small number of studies of limited quality, the results of this review suggest that communicating DNA-based disease risk estimates has little or no effect on smoking and physical activity. It may have a small effect on self-reported diet and on intentions to change behaviour. Claims that receiving DNA-based test results motivates people to change their behaviour are not supported by evidence. Larger and better-quality RCTs are needed.

The behavioral response to personalized genetic information: will genetic risk profiles motivate individuals and families to choose more healthful behaviors?

This report describes the use of information emerging from genetic discovery to motivate risk-reducing health behaviors. Most research to date has evaluated the effects of information related to rare genetic variants on screening behaviors, in which genetic risk feedback has been associated consistently with improved screening adherence. The limited research with common genetic variants suggests that genetic information, when based on single-gene variants with low-risk probabilities, has little impact on behavior. The effect on behavioral outcomes of more realistic testing scenarios in which genetic risk is based on numerous genetic variants is largely unexplored. Little attention has been directed to matching genetic information to the literacy levels of target audiences. Another promising area for research is consideration of using genetic information to identify risk shared within kinship networks and to expand the influence of behavior change beyond the individual.

Risk perceptions and family history of lung cancer: differences by smoking status

BACKGROUND

Individuals with a family history of lung cancer have a two- to threefold increased risk for developing this disease. Family history information may be useful in lung cancer prevention and control approaches, but research is needed regarding how individuals interpret this information. This study examined associations between lung cancer family history and individuals' risk perceptions, based on smoking status.

METHODS

Data were analyzed from 5,105 U.S. adult respondents to the 2005 Health Information National Trends Survey, which was conducted with a nationally representative sample.

RESULTS

In multivariate models, family history of lung cancer was positively associated with absolute and relative risk perceptions among all respondents (β=0.60, 95% CI=0.33-0.87 and β=0.17, 95% CI=0.04-0.31, respectively) and among never smokers (β=0.40, 95% CI=0.14-0.67 and β=0.14, 95% CI=0.01-0.27, respectively). However, these associations were not significant for current and former smokers.

CONCLUSION

While perceived risk was associated with family history of lung cancer among never smokers, this was not true for other smoking status subgroups. Therefore, former and current smokers might not respond as intended to cancer prevention or cessation messages tailored based on family history. The results suggest directions for future research into how to best integrate family history information into prevention and control efforts.

Nicotine vaccines: will smokers take a shot at quitting?

INTRODUCTION

A vaccine against nicotine may soon be available to smokers who want to quit. The vaccine stimulates the production of antibodies that bind to nicotine, thereby impeding nicotine from crossing the blood-brain barrier and exerting psychoactive effects. The primary purpose of this study was to evaluate intentions to try a nicotine vaccine if one were to become available among a nationally representative sample of smokers. The secondary purpose was to assess whether information about genetic susceptibility to nicotine addiction had an effect on smokers' interest in receiving the vaccine.

METHODS

Four hundred and twenty-seven adults were randomized to read one of two versions of a short description about the vaccine. One version framed addiction as genetically influenced, while the other framed it as environmentally influenced. Smokers were then asked about their intentions to use a nicotine vaccine if one were to become available in the future.

RESULTS

Across both groups, 53% indicated that they would be likely or very likely to try the vaccine. Using multivariate linear regression, the strongest predictors of vaccination intention were having a favorable attitude toward a nicotine vaccine (beta = .41) and having a favorable attitude toward vaccination in general (beta = .22). There were no significant effects of the framing conditions on intention to receive the vaccine.

DISCUSSION

Intentions to try a nicotine vaccine as a cessation method are relatively high among smokers. If the vaccine becomes available, specific groups of smokers may be more interested than others; education and recruitment efforts could be targeted appropriately.

Tobacco, Genetic Susceptibility and Lung cancer

Exposure to tobacco smoke is an established risk factor for lung cancer, although a possible role for genetic susceptibility in the development of lung cancer has been inferred from familial clustering of the disease and segregation analysis. Findings of familial aggregation and statistical evidence for a major susceptibility gene have led to the search for high penetrant, rare, single genes and low penetrant, high frequency susceptibility genes for lung cancer. The relatively small number of linkage studies conducted to date, have identified potential lung cancer susceptibility loci on chromosomes 6q, 12p, and 19q. A variety of studies have examined single nucleotide polymorphisms of several low penetrant, high frequency genes encoding for enzymes involved in the metabolism of carcinogens and DNA damage repair, as likely candidate susceptibility genes. These studies have produced somewhat conflicting findings and, when significant, only modest associations have been reported. Relatively few studies have looked for potential gene-environment interactions, explored associations between two or more genetic polymorphisms or evaluated interactions between genetic polymorphisms and endogenous risk factors. Few large scale genome wide association studies conducted recently have provided evidence that common variation on chromosome 15q25.1, 5p15.33 and 6p21.33 influences lung cancer risk and cancer types with strong environmental risk factors. It is hoped that newer research strategies, selecting candidate genes within pathways and genotype at multiple markers within a gene, employing new technologies, may allow complete coverage of the variation within candidate genes in multiple pathways and to unravel the genetic susceptibility to lung cancer. This knowledge could, in turn, be used to identify persons at risk, to individualize treatments such as chemoprevention, to personalize harms of smoking and to motivate cessation.

Responses to online GSTM1 genetic test results among smokers related to patients with lung cancer: a pilot study

Providing smokers with personal genetic test results indicating increased lung cancer risk may increase uptake of effective smoking cessation services. Using the internet may increase reach and enable real-time assessment of how people process genetic risk information away from the clinic setting. We therefore explored smokers' responses to Web-delivered GSTM1 genetic test results indicating higher or lower lung cancer risk. Participants were smokers (n = 44) biologically related to patients with newly diagnosed lung cancer. Measures were assessed at baseline, before and immediately after receipt of online genetic test results, and at 6-month follow-up. Outcomes included accurate comprehension of results, regret about being tested, cessation-related cognitions (e.g., perceived response efficacy), and uptake of free smoking cessation services (nicotine replacement therapy, printed self-help materials, telephone counseling sessions). Twenty-two "relative smokers" received a GSTM1-missing (higher risk) and 22 a GSTM1-present (lower risk) result. All relative smokers with GSTM1-missing results and 55% of those with GSTM1-present results accurately interpreted their results. No relative smokers regretted having taken the test. Relative smokers receiving GSTM1-missing results reported lower confidence that quitting could reduce lung cancer risk (perceived response efficacy) than those receiving GSTM1-present results. There were no other significant between-group differences. Uptake of smoking cessation services was high (e.g., 91% nicotine replacement therapy uptake). Genetic test results may not influence uptake of free smoking cessation services because of ceiling effects. Further research is needed to determine the risks and benefits of Web-based disclosure of genetic test results.

Public interest and expectations concerning commercial genotyping and genetic risk assessment

In contrast to the modest progress made in the interpretation and clinical application of genomic data, genotyping technologies have experienced great progress. Genotyping costs are progressively decreasing making individual genotyping more commonly available. Financial availability of individual genome analysis and the strong desire of many people to know about their individual genomic characteristics, promotes the marketing of genetic tests of variable predictive value directly to the public. A survey of 2000 Russian respondents revealed very positive attitudes and beliefs towards these genetic developments: 85% of surveyed individuals would like to have their genetic risk for avoidable diseases estimated, and 89% responded stating that they would try to change their lifestyle by giving up bad habits, following a recommended diet or taking medications if a high risk of disease was identified. It is believed that with time, validated genetic information will find its rightful place in medicine, by supplementing phenotypic clinical data with validated genetic interpretations.

Lung cancer susceptibility model based on age, family history and genetic variants

Background

Epidemiological and pedigree studies suggest that lung cancer results from the combined effects of age, smoking, impaired lung function and genetic factors. In a case control association study of healthy smokers and lung cancer cases, we identified genetic markers associated with either susceptibility or protection to lung cancer.

Methodology/Principal Findings

We screened 157 candidate single nucleotide polymorphisms (SNP) in a discovery cohort of 439 subjects (200 controls and 239 lung cancer cases) and identified 30 SNPs associated with either the healthy smokers (protective) or lung cancer (susceptibility) phenotype. After genotyping this 30 SNP panel in a validation cohort of 491 subjects (248 controls and 207 lung cancers) and, using the same protective and susceptibility genotypes from our discovery cohort, a 20 SNP panel was selected based on replication of SNP associations in the validation cohort. Following multivariate logistic regression analyses, including the selected SNPs from runs 1 and 2, we found age and family history of lung cancer to be significantly and independently associated with lung cancer. Numeric scores were assigned to both the SNP and demographic data, and combined to form a simple algorithm of risk.

Conclusions/Significance

Significant differences in the distribution of the lung cancer susceptibility score was found between normal controls and lung cancer cases, which remained after accounting for differences in lung function. Validation in other case-control and prospective cohorts are underway to further define the potential clinical utility of this model.

Biomedical risk assessment as an aid for smoking cessation

BACKGROUND

A possible strategy for increasing smoking cessation rates could be to provide smokers who have contact with healthcare systems with feedback on the biomedical or potential future effects of smoking, e.g. measurement of exhaled carbon monoxide (CO), lung function, or genetic susceptibility to lung cancer.

OBJECTIVES

To determine the efficacy of biomedical risk assessment provided in addition to various levels of counselling, as a contributing aid to smoking cessation.

SEARCH STRATEGY

We systematically searched the Cochrane Collaboration Tobacco Addiction Group Specialized Register, Cochrane Central Register of Controlled Trials 2008 Issue 4, MEDLINE (1966 to January 2009), and EMBASE (1980 to January 2009). We combined methodological terms with terms related to smoking cessation counselling and biomedical measurements.

SELECTION CRITERIA

Inclusion criteria were: a randomized controlled trial design; subjects participating in smoking cessation interventions; interventions based on a biomedical test to increase motivation to quit; control groups receiving all other components of intervention; an outcome of smoking cessation rate at least six months after the start of the intervention.

DATA COLLECTION AND ANALYSIS

Two assessors independently conducted data extraction on each paper, with disagreements resolved by consensus. Results were expressed as a relative risk (RR) for smoking cessation with 95% confidence intervals (CI). Where appropriate a pooled effect was estimated using a Mantel-Haenszel fixed effect method.

MAIN RESULTS

We included eleven trials using a variety of biomedical tests. Two pairs of trials had sufficiently similar recruitment, setting and interventions to calculate a pooled effect; there was no evidence that CO measurement in primary care (RR 1.06, 95% CI 0.85 to 1.32) or spirometry in primary care (RR 1.18, 95% CI 0.77 to 1.81) increased cessation rates. We did not pool the other seven trials. One trial in primary care detected a significant benefit of lung age feedback after spirometry (RR 2.12; 95% CI 1.24 to 3.62). One trial that used ultrasonography of carotid and femoral arteries and photographs of plaques detected a benefit (RR 2.77; 95% CI 1.04 to 7.41) but enrolled a population of light smokers. Five trials failed to detect evidence of a significant effect. One of these tested CO feedback alone and CO + genetic susceptibility as two different intervention; none of the three possible comparisons detected significant effects. Three others used a combination of CO and spirometry feedback in different settings, and one tested for a genetic marker.

AUTHORS' CONCLUSIONS

There is little evidence about the effects of most types of biomedical tests for risk assessment. Spirometry combined with an interpretation of the results in terms of 'lung age' had a significant effect in a single good quality trial. Mixed quality evidence does not support the hypothesis that other types of biomedical risk assessment increase smoking cessation in comparison to standard treatment. Only two pairs of studies were similar enough in term of recruitment, setting, and intervention to allow meta-analysis.

A consultation with genetic information about obesity decreases self-blame about eating and leads to realistic weight loss goals in obese individuals

OBJECTIVE

This study tested the effects of a consultation using genetic information about obesity on attitudes relating to weight loss goals, self-blame about eating, and weight-related coping in obese individuals. Furthermore, the study sought to explore possible predictors for weight gain/loss.

METHOD

A total of 411 obese individuals were randomly assigned to two standardized consultations, with and without genetic information about obesity, and a control group without any intervention. After a 6-month follow-up, 253 obese individuals of the intervention groups and 98 individuals of the control group had a complete dataset. Data were analyzed regarding the independent variables assessment time, treatment group, and the familial predisposition (at least one obese parent or sibling). As dependent measures, attitudes about weight loss goals, weight-related self-blame, coping, and body shame were assessed via questionnaire or interview.

RESULTS

Individuals with and without a familial predisposition profited in different ways from a consultation using genetic information about obesity: at follow-up, individuals with a familial predisposition reported mainly a relieving effect (less self-blame about eating). Both groups reported an adjustment to more realistic weight loss goals and a greater satisfaction with a 5% weight loss. Furthermore, the more negative obese individuals felt about their current weight at baseline, the higher the risk that these individuals had gained weight at follow-up.

CONCLUSION

A consultation focusing on genetic factors might be helpful for obese individuals regardless of their familial predisposition, but only predisposed individuals showed a decrease in self-blame about eating. Negative thoughts and feelings about current weight might predict future weight gain.

Immediate and short-term impact of a brief motivational smoking intervention using a biomedical risk assessment: the Get PHIT trial

INTRODUCTION

Providing smokers with biologically based evidence of smoking-related disease risk or physical impairment may be an effective way to motivate cessation.

METHODS

Smokers were recruited for a free health risk assessment and randomized to receive personally tailored feedback based on their lung functioning, carbon monoxide (CO) exposure, and smoking-related health conditions or generic information about the risks of smoking and personalized counseling based on their diet, body mass index, and physical activity. All (n = 536) were advised to quit smoking and offered access to a free telephone cessation program. Participants were surveyed immediately after intervention and 1 month later to assess the impact on various indices of motivation to quit.

RESULTS

Immediately posttreatment, experimental participants rated themselves as more likely to try to quit (p = .02) and reported a greater mean increase in their motivation to quit than controls (p = .04). At 1-month follow-up, however, we found no significant group differences on any motivational indices. In post-hoc analyses comparing smokers in the experimental group with and without lung impairment, persons with impaired lung functioning had a greater change from baseline in posttreatment motivation to quit (adjusted p = .05) and perceived risk of developing a smoking-related disease (p = .03) compared with persons with no lung impairment, but we found no significant treatment effect on any motivational indices at 1 month.

DISCUSSION

The results suggest that the intervention had a small, temporary effect, but we found no clear evidence that the intervention increased motivation to quit smoking during the first month postintervention.

Experimental evaluation of antitobacco PSAs: effects of message content and format on physiological and behavioral outcomes

INTRODUCTION

Antitobacco media campaigns using public service announcements (PSAs) have shown promise in reducing smoking initiation and increasing intentions to quit. Research on what makes an effective PSA has had mixed outcomes. The present study tested the effects of specific message features in antitobacco PSAs, using theory-based physiological and self-report outcomes.

METHODS

PSAs were categorized as high or low in message sensation value (MSV) and strength of argument and presented to 200 current smokers in a 2 x 2 factorial design. Physiological responses-specifically, heart rate, skin conductance, zygomaticus major, and corrugator supercilii-were assessed while participants viewed the PSAs. Beliefs, attitudes, efficacy, norms, and intentions to quit were assessed immediately following viewing.

RESULTS

Corrugator activity was significantly greater in the high MSV condition. Among those low in sensation seeking, low MSV PSAs elicited higher self-efficacy, whereas the reverse was true for high sensation seekers. High MSV PSAs elicited higher negative beliefs in low sensation seekers. Adding physiological measures to a model predicting intention to quit did not improve the explained variance.

DISCUSSION

The present study represents the first comprehensive theory-based experimental investigation of the effects of different features of antitobacco PSAs and provides a framework for future research in identifying effective features of such PSAs. Results illustrate the importance of considering individual differences, characterizing both PSA content and format, and outcome and response measures when evaluating antitobacco PSAs.

Psychological and behavioural impact of genetic testing smokers for lung cancer risk: a phase II exploratory trial

The behavioural and psychological impact of genetic testing for lung cancer susceptibility was examined among smokers (N = 61) who were randomly allocated to a GSTM1 genetic testing group (with GSTM1-missing or GSTM1-present result) or no-test control group. The GSTM1-missing (higher risk) group reported greater motivation to quit smoking, and both genetic testing groups reported lower depression than the control group at one-week follow-up (p < .05 for all). Differences were not significant at two months follow-up. This study indicates the feasibility of much-needed research into the risks and benefits for individuals of emerging lifestyle-related genetic susceptibility tests.

Adolescent medical providers' willingness to recommend genetic susceptibility testing for nicotine addiction and lung cancer risk to adolescents

OBJECTIVE

To examine the influences of disease, lifestyle, and other factors on adolescent medical providers' willingness to recommend genetic susceptibility testing (GST).

METHOD

Providers attending a national conference completed a self-report survey (n = 232) about their willingness to recommend hypothetical GSTs, differentiated by disease (nicotine addiction/lung cancer), patient lifestyle (nonsmoker/smoker), and other contextual factors.

RESULTS

Compared to recommending GST unconditionally, providers were more willing to recommend GST with parental/patient consent/assent, and in the presence of a preexisting illness and substance abuse history. Compared to offering nicotine addiction GST to a nonsmoker, providers were more willing to offer this type of testing to a smoker and were more willing to offer GST for lung cancer regardless of patient lifestyle.

CONCLUSIONS

Providers' willingness to recommend GSTs is sensitive to many factors. Efforts to integrate GST into adolescent preventive care likely will need to address these and other influences on provider behavior.