Smoking behavior among adult childhood cancer survivors: what are we missing?

Burden of Childhood Cancer and the Social and Economic Challenges in Adulthood: A Systematic Review and Meta-Analysis

Importance

Significant advancements in pediatric oncology have led to a continuously growing population of survivors. Although extensive research is being conducted on the short-, medium-, and long-term somatic effects, reports on psychosocial reintegration are often conflicting; therefore, there is an urgent need to synthesize the evidence to obtain the clearest understanding and the most comprehensive answer.

Objective

To provide a comprehensive review and analysis of the socioeconomic attainment of childhood cancer survivors (CCSs) compared with their unaffected peers.

Data Sources

A systematic review and meta-analysis was conducted using data obtained from a comprehensive search of MEDLINE (via PubMed), Embase, and CENTRAL (Cochrane Central Register of Controlled Trials) databases on October 23, 2021; the search was updated until July 31, 2023.

Study Selection

Eligible articles reported on educational attainment, employment, family formation, quality of life (QoL), or health-risk behavior-related outcomes of CCSs, and compared them with their unaffected peers. Study selection was performed in duplicate by 4 blinded independent coauthors.

Data Extraction and Synthesis

Data extraction was performed in duplicate by 4 independent authors following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Outcome measures were odds ratios (ORs) and mean differences with 95% CIs; data were pooled using a random-effects model.

Results

The search identified 43 913 articles, 280 of which were eligible for analysis, reporting data on a total of 389 502 survivors. CCSs were less likely to complete higher levels of education (OR, 0.69; 95% CI, 0.40-1.18), had higher odds of health-related unemployment (OR, 2.94; 95% CI, 1.90-4.57), and showed lower rates of marriage (OR, 0.72; 95% CI, 0.63-0.84) and parenthood (OR, 0.60; 95% CI, 0.49-0.74) compared with population-based controls.

Conclusion and Relevance

Study findings suggest that CCSs face several socioeconomic difficulties; as a result, the next goal of pediatric oncology should be to minimize adverse effects, as well as to provide lifelong survivorship support aimed at maximizing social reintegration.

Association between adverse childhood experiences and self-reported health-risk behaviors among cancer survivors: A population-based study

AIMS

Existing evidence shows that people who report Adverse Childhood Experiences (ACEs) are more likely to exhibit health-risk behaviors. However, limited research on this topic pertains to oncology population. We aim to address this knowledge gap by estimating the prevalence of ACEs and investigating their association with self-reported health-risk behaviors among adult cancer survivors living in the U.S.

METHODS

We conducted a secondary analysis using cross-sectional data from the 2021 Behavioral Risk Factor Surveillance System ACE module. We included 4,126 adults, aged ≥18 years, with a history of cancer. The outcome variable was self-reported health-risk behaviors, which included cigarette smoking, e-cigarette use, and binge alcohol drinking. Self-reported ACEs history was the primary independent variable, comprised of 11 questions regarding child abuse and dysfunctional households. We conducted descriptive statistics and multivariable logistic regression to describe the relationship between the ACE history and health-risk behaviors.

RESULTS

Overall, 84.2% of cancer survivors self-reported as White, 58.4% were women, and 76.6% were aged 65+ years. Nearly two-thirds of the sample (63.2%) self-reported at least one ACE (prior to age 18) and 21.7% engaged in ≥1 health-risk-behaviors, such as cigarette smoking, binge alcohol drinking, or e-cigarette use. Experiencing ≥3 ACEs was associated with 145% increased odds of reporting at least one health-risk behavior (OR = 2.45, 95% CI [1.78-3.38]) when compared to those without a history of ACEs. Besides, survivors who were younger, divorced, less educated, and had low income had higher odds of reporting at least one health-risk behavior.

CONCLUSIONS

Overall, a history of ACEs is associated with health-risk behaviors. These all can negatively impact cancer survivors' overall well-being. Early screening for ACE during oncologic visits can be a protective measure for preventing health-risk behaviors among cancer survivors.

Prevalence of Current Cigarette Smoking by Sociodemographic Characteristics in U.S. Cancer Survivors

BACKGROUND

Cancer survivors are especially vulnerable to the carcinogenic effects of tobacco smoking, but there lacks a study comprehensively examining the sociodemographic disparities in current smoking prevalence in this population. In this study, we quantified the current cigarette smoking prevalence in cancer survivors and those without cancer history by sociodemographic factors, to identify subpopulations with high current smoking burden.

METHODS

We conducted a cross-sectional study of 3,679 cancer survivors and 27,350 participants without cancer history who were 18 years of age or above in the 2019 National Health Interview Survey. Data for the study variables were obtained from computer-assisted personal or telephone interviews. Weighted Poisson regression was used to estimate prevalence ratios and 95% confidence intervals.

RESULTS

Although the current smoking prevalence for cancer survivors was slightly lower than for those without cancer history, the prevalence exceeded 30% in cancer survivors in poverty or without health insurance. Individuals with significantly higher current smoking prevalence had lower education levels, were unmarried, did not have health insurance, or lived in poverty. The associations of age, sex, race, health insurance status, and poverty status with current smoking significantly differed between cancer survivors and those without cancer history. Sociodemographic disparities in current smoking prevalence were found in survivors of either smoking-related or nonsmoking-related cancers.

CONCLUSION

High current smoking prevalence still exists in subpopulations of cancer survivors and those without cancer history. Our findings may strengthen efforts to reduce sociodemographic disparities in current smoking prevalence and to lower the overall smoking prevalence.

Health-related risk behaviors among U.S. childhood cancer survivors: a nationwide estimate

BACKGROUND

Childhood cancer survivors (CCS) are subject to a substantial burden of treatment-related morbidity. Engaging in health protective behaviors and eliminating risk behaviors are critical to preventing chronic diseases and premature deaths. This study is aimed to provide updated information on currently smoking, physical inactivity, binge drinking patterns and associated factors among CCS using a nationwide dataset.

METHODS

We constructed a sample of CCS (cancer diagnosis at ages < 21y) and healthy controls (matched on age, sex, residency, race/ethnicity) using 2020 Behavioral Risk Factor Surveillance System. We used Chi-square tests and Wilcoxon rank-sum test to examine differences in sociodemographics and clinical characteristics between two groups. Logistic, ordinal regression and multivariable models (conditional models for matching) were used to determine factors associated with risk behaviors.

RESULTS

The final sample (18-80y) included 372 CCS and 1107 controls. Compared to controls, CCS had a similar proportion of binge drinking (~ 18%) but higher prevalence of currently smoking (26.6% vs. 14.4%, p < 0.001), physical inactivity (23.7% vs. 17.7%, p = 0.012), and of having 2-or-3 risk behaviors (17.2% vs. 8.1%, p < 0.001). Younger age, lower educational attainment, and having multiple chronic health conditions were associated with engaging in more risk behaviors among CCS. Females, compared to male counterparts, had lower odds of binge drinking (adjusted odds ratio (aOR) = 0.30, 95% confidence interval (CI): 0.16-0.57) among CCS but not in all sample. Having multiple chronic health conditions increased odds of both currently smoking (aOR = 3.52 95%CI: 1.76-7.02) and binge drinking (aOR = 2.13 95%CI: 1.11-4.08) among CCS while it only increased odds of currently smoking in all sample.

DISCUSSION

Our study provided risk behavior information for wide age-range CCS, which is currently lacking. Every one in four CCS was currently smoking. Interventions targeting risk behavior reduction should focus on CCS with multiple chronic health conditions.

Association between secondhand smoke and cancers in adults in the US population

BACKGROUND

Tobacco use is the leading preventable cause of cancer and premature death, smoking has a clear causal relationship with a variety of cancers. However, the relationship between exposure to secondhand smoke (SHS) and other cancers besides lung cancer is not clear. In this study, we intend to investigate the cancers mortality risks especially other cancers besides lung cancer associated with exposure to SHS.

METHODS

The National Health and Nutrition Examination Survey is a longitudinal population-based, nationally representative health survey and mortality rates linked to the National Death Index (NDI) database. In this study, the participants completed a questionnaire assessing sociodemographic data, anthropometry, and lifestyle information, including smoking and alcohol consumption, meanwhile, all the participants were screened for serum cotinine. First, Spearman correlation analysis was performed to confirm the correlation between serum cotinine level and exposure status. And then, exposure to SHS was divided into two groups: low exposure group (serum cotinine level between 0.015 and 10) and high exposure group (serum cotinine level ≥ 10), Cox proportional hazards regression modeling was used to evaluate the association between exposure to SHS and eight different types of smoke-related cancer.

RESULTS

In this study, we evaluated a cohort of 25,794 US residents older than 19 years from 2005 to 2016 and were followed for mortality through the February 2019. We conducted Spearman correlation analysis to confirm the correlation between serum cotinine level and exposure status (including smoking and exposure to SHS), it demonstrated the correlation coefficient between serum cotinine level and exposure to smoke was 0.976, p < 0.00001. By Cox proportional hazards regression modeling, high exposure group were found to be positively associated with all neoplasms with a total Hazard Ratio (HR) of 1.748 (95% Confidence Interval (CI), 1.415-2.159), had higher all-cause mortality risks than non-exposure to tobacco smoke. Regarding the specific types, we found the following associations: cancer of the lung (HR, 1.484; 95% CI, 1.191-1.849), stomach (HR, 1.491; 95% CI, 1.199-1.854), bladder (HR, 1.487; 95% CI, 1.198,1.846), esophageal (HR, 1.487; 95% CI 1.194-1.852), kidney (HR, 1.497; 95% CI, 1.201-1.865), pancreatic (HR, 1.479; 95% CI 1.189-1.841), leukemia (HR, 1.479; 95% CI 1.190-1.839), cervical (HR, 1.490; 95% CI 1.198-1.853). However, low exposure group were non-existent statistically significant with a Hazard Ratio (HR) of 1.062 (95% Confidence Interval (CI), 0.953-1.183).

CONCLUSIONS

The research demonstrated that serum cotinine has a significant correlation with smoke exposure status, which confirmed serum cotinine can be used as an indicator to reflect human smoke exposure. What's more, our results confirmed high exposure of SHS (serum cotinine level ≥ 10) has a significant effect on lung, stomach, bladder, esophagus, kidney, pancreatic, leukemia, cervical cancer.

Smoking and Cannabis Use among Childhood Cancer Survivors: Results of the French Childhood Cancer Survivor Study

BACKGROUND

Unhealthy behaviors among childhood cancer survivors increase the risks for cancer treatment adverse effects. We aimed to assess tobacco and cannabis use prevalence in this population and to identify factors associated with these consumptions.

METHODS

This study involved 2,887 5-year survivors from the French childhood cancer survivor study (FCCSS) cohort. Data on health behaviors were compared with those of controls from the general population. Associations of current smoking and cannabis use with clinical features, sociodemographic characteristics, and health-related quality of life (QOL) were investigated using multivariable logistic regressions.

RESULTS

Prevalence for tobacco use was lower in survivors (26%) than in controls (41%, P < 0.001). Among current smokers, survivors smoked more cigarettes per day and started at a younger age than controls. Women, college graduates, older, married, and CNS tumor survivors, as well as those who received chemotherapy and thoracic radiation therapy, were less likely to be smokers and/or cannabis consumers than others. Participants with a poor mental QOL were more likely to smoke.

CONCLUSIONS

Preventive interventions and cessation programs must be carried out as early as possible in survivors' life, especially among young males with low educational level and poor mental health.

IMPACT

This study brings new insights to health behaviors among childhood cancer survivors from a population with high rates of smoking and cannabis use.

Reach versus effectiveness: The design and protocol of randomized clinical trial testing a smartphone application versus in-person mindfulness-based smoking cessation intervention among young cancer survivors

Approximately 45% of young cancer survivors (18-40 years) are cigarette smokers. Continued smoking after cancer diagnosis leads to lower survival rates. A major logistical problem with smoking cessation efforts in this group is their geographic dispersion which makes them hard to reach. In addition, depression is a major predictor of smoking relapse and its rates are roughly twice as high in cancer survivors as the general population. Smartphone applications (apps) show promise in terms of efficacy, dissemination, and improving access to treatment. Mindfulness training (defined as maintaining attention on one's immediate experience and cultivating an attitude of acceptance toward this experience) is effective in improving smoking cessation outcomes by reducing psychological stress and controlling craving. Given that smartphone apps can address the issues of mobility and remote access, and mindfulness can address the high depression rate among cancer survivors, validating the feasibility and efficacy of a mindfulness-based smoking cessation intervention app in young cancer survivors is a high priority. Thus, the aims of the current study are: (1) test the feasibility, acceptability, and potential efficacy of the mindfulness-based smoking cessation app versus in-person mindfulness or usual care in a 3-arm pilot randomized clinical trial among young cancer survivors (n = 60; 18-40 years); and 2) conduct semi-structured exit interviews with participants in the two mindfulness groups to fine-tune the two active interventions based on feedback from participants. Findings will have implications for the development and dissemination of innovative and highly scalable tobacco cessation interventions designed for young cancer survivors.

Associations Among Health Behaviors and Psychosocial Outcomes in Adolescent and Young Adult Cancer Survivors

Purpose: Adolescents and young adults (AYA) experience challenges both during and after their cancer treatment. Health behaviors are important contributors to health, yet little research examines health behaviors in AYA cancer survivors. We examined frequencies of health behaviors and associations between health behaviors, psychosocial, and clinical factors in AYA cancer survivors. Methods: Participants were survivors of AYA cancer (n = 60; 38.3% male; mean age = 25.3 years [standard deviation, SD = 4.6]; mean years since therapy completion = 9.0 [SD = 4.2]) from the Alberta Children's Hospital (ACH). Survivors were 13-21 years old at the time of diagnosis. Measures included demographic and clinical data, and the ACH Long-Term Survivor's Questionnaire. Health behaviors were compared with a control group (n = 600) using data from the 2017 Canadian Community Health Survey. Frequencies, conditional logistic regression, and logistic regression analyses were conducted. Results: Compared with controls, survivors reported engaging in physical activity (91.5% vs. 87.5%; odds ratio [OR] = 0.87, 95% confidence interval [CI] = 0.34-2.24; p = 0.77), smoking tobacco (15.3% vs. 19.7%; OR = 1.85, 95% CI = 0.89-3.85; p = 0.10), and street drug use (27.6% vs. 36.5%; OR = 1.60, 95% CI = 0.88-2.91; p = 0.12) at the same rate. Survivors reported binge drinking significantly less (61.0% vs. 76.6%; OR = 0.53, 95% CI = 0.30-0.92; p = 0.024) than controls. Logistic regression analyses revealed a significant model predicting binge drinking [χ²(5, 58) = 23.17, p < 0.001] with greater time off treatment, fear of another health condition, and higher mean body mass index emerging as significant predictors. Conclusion: AYA cancer survivors engage in risky health behaviors at rates similar to their peers. Further research is needed to understand factors mediating survivors' decision to participate in risky health behaviors.

Cigarette, E-cigarette, Alcohol, and Marijuana Use by Cancer Diagnosis Status: A Longitudinal Analysis

Background:

Cancer is the second leading cause of death in the United States. Lifestyle choices such as substance abuse can impact a survivor’s health and overall quality of life.

Methods:

We used longitudinal data from the Wave 1-3 Population Assessment of Tobacco and Health data to examine sociodemographic characteristics and substance use behaviors (current cigarette, e-cigarette, alcohol, and marijuana use) by cancer diagnosis status. A generalized estimating equation model was used to examine the population-averaged effects of sociodemographic factors on substance use.

Results:

Among 1527 participants diagnosed with cancer, 14.5% used cigarettes, 3.8% used e-cigarettes, 49.1% used alcohol, and 4.2% used marijuana in the prior 30 days in Wave 1. While the prevalence of cigarette use among those with no cancer history decreased significantly between Wave 1 (21.9%) and Wave 3 (20.2%), it increased significantly among participants diagnosed with cancer from 14.5% to 16.0%. E-cigarette use decreased for both groups, whereas alcohol and marijuana use increased. Results showed that substance use among people diagnosed with cancer significantly varied by sociodemographic characteristics. Age, sex, race-ethnicity, education, income, and region of residence were significantly associated with substance use among patients diagnosed with cancer.

Conclusion:

Overall, substance use is lower among participants diagnosed with cancer than those with no cancer history. Substance use varies by sociodemographic characteristics among people diagnosed with cancer. More focus on substance use prevention among patients diagnosed with cancer could be beneficial in terms of improving the overall well-being of this population.

Childhood Cancer Survivorship: Daily Challenges

Survivors of childhood cancer are at risk of experiencing fatigue, pain, lower levels of physical activity, increased engagement in risky health behavior, and poor social adjustment, after finishing treatment. Risks are more pronounced for survivors of specific diagnoses or receiving specific treatment protocols. Interventions to address these outcomes are in their infancy. Future research should focus on exploring the antecedents and consequences of these outcomes. In the meantime, researchers and cancer centers should attempt to provide high-quality and accessible health information to survivors through various media outlets to encourage healthy behaviors.

Summer sun-exposure in Australian childhood cancer survivors and community reference groups

PURPOSE

Sun-exposure can cause health problems, including melanoma and nonmelanoma skin cancer, especially in Australia where the incidence of skin cancer is particularly high. Childhood cancer survivors (CCSs) have an augmented risk due to previous cancer history and treatment. Despite recommendations advising sun protection, CCSs may be placing themselves at risk. We considered daily summer sun-exposure in an Australian cohort of CCSs and in community reference groups, and identified factors associated with sun-exposure in these populations.

METHODS

Summer sun-exposure data were collected on 471 CCSs (119 parents of survivors aged <16, and 352 survivors aged ≥16) and a reference group of 470 participants from the community (155 parents of children aged <16, and 355 adults aged ≥16). Survivors completed paper questionnaires and the reference groups completed an online survey. Medical records confirmed survivors' clinical information. Ordinal logistic regressions identified factors associated with daily summer sun-exposure.

RESULTS

More daily summer sun-exposure was reported by both parents reporting for the young survivors (U = 5,522.5, P < .001; U = 31,412, P < .001) and by older survivors (U = 5,039.5, P < .001; U = 29,913, P < .001). Among younger participants greater sun-exposure was associated with being a CCS, while in older participants, greater sun-exposure was associated with being a CCS, a male, smoker/ex-smoker and was also increased in those with more sensitive skin reaction to sunlight. Focusing only on the CCSs, when treatments were considered, none statistically predicted sun-exposure in young CCSs while older CCSs who received radiotherapy were less likely to spend excess time in the sun.

CONCLUSION

CCSs have sun-exposure at times of day when sun-related skin damage is highest, despite advice to avoid highest risk times. This data can inform sun-protection programs and lifestyle advice aimed at ameliorating the potential increased risk of skin cancer in CCSs.

Prevalence and reasons for smoking in adolescent Swiss childhood cancer survivors

BACKGROUND

Smoking harms health, particularly that of childhood cancer survivors, who face risk of pulmonary and cardiovascular diseases because of chemotherapy and radiotherapy to the chest. This nationwide study assessed smoking habits and reasons for smoking in adolescent survivors and healthy peers.

METHODS

As part of the Swiss Childhood Cancer Survivor Study, we sent a questionnaire to all Swiss resident survivors, who were aged 16-19 years. We compared smoking status and reasons for smoking between 511 survivors, 141 of their siblings, and 1,727 adolescents in a representative population-based study, the Tobacco Monitoring Switzerland (TMS).

RESULTS

Current smoking was less prevalent in survivors (17%) and their siblings (17%) compared with TMS (32%). Survivors and TMS adolescents gave similar reasons for smoking. Stress control, smoking being a habit, and good taste were the reasons for smoking cited most often in both groups. Peer smoking was more important in survivors (49%) than in TMS (34%, P = 0.004). Most important reasons for not smoking in both groups were smoking being unhealthy and not wanting to be addicted.

CONCLUSIONS

In Switzerland, survivors smoke as often as their siblings but less than the general population. Peer smoking was a more important reason for smoking in survivors than in the general population, suggesting that reducing smoking in peers could result in a reduction of smoking in survivors. Overall, reasons for smoking were very similar, thus interventions to reduce smoking in survivors could be the same as those used in the general population.

National estimates and correlates of secondhand smoke exposure in US cancer survivors

PURPOSE

Cancer survivors comprise a vulnerable population for exposure to secondhand smoke (SHS). This study examined and compared the prevalence, time trends, and predictors of SHS exposure between nonsmoking adult cancer survivors and nonsmoking adults without cancer history (control group).

METHODS

Data were obtained from the 2001-2012 National Health and Nutrition Examination Survey (survivors: n = 2168; controls: n = 19,436). All adults ≥20 years of age who reported not smoking and had a serum cotinine level of 0.015-10 ng/mL were included in the study. Prevalence and 95% confidence intervals, weighted linear regression of prevalence on year for trend analysis, and logistic regression analysis were performed with adjustments made for the complex survey design.

RESULTS

Survivors were significantly less likely to be exposed to SHS (65.4 vs. 70.6%, respectively). Exposure over time decreased by 16% (from 67.1% in 2001 to 53.3% in 2012) among survivors and by 24% (from 72% in 2001 to 56% in 2012) among controls. Exposed survivors were more likely to be young (OR = 0.98 [95% CI = 0.97-0.99]), non-Hispanic Black (2.51 [1.49-4.26]), with some college education (2.47 [1.56-3.93]), a high school education (2.72 [1.76-4.19]), less than a high school education (2.49 [1.58-3.91]), and poor (1.80 [1.10-2.96]).

CONCLUSION

Considerable numbers of US cancer survivors are exposed to SHS and exposure disparities persist.

IMPLICATIONS FOR CANCER SURVIVORS

More efforts are needed to develop and test population policies and clinical-based interventions targeting cancer survivors.

Treating Nicotine Dependence and Preventing Smoking Relapse in Cancer Patients

INTRODUCTION

Despite the well-documented harmful effects of smoking, many cancer patients continue to smoke. Smoking cessation is critical to address in this population given the associated increase in treatment toxicity, risk of second primary tumors, decrease in treatment response and higher disease-specific and all-cause mortality with continued smoking following a cancer diagnosis. This review seeks to summarize the latest recommendations and guidelines on smoking cessation treatment for patients diagnosed with cancer, and the evidence behind those recommendations.

AREAS COVERED

We reviewed the latest evidence for smoking cessation treatments for cancer patients and the clinical guidelines and recommendation available for oncologists and health care providers. The unique aspects of nicotine dependence among patients diagnosed with cancer, and key challenges and barriers that cancer survivors and health care providers experience when considering smoking cessation treatments, and available clinical resources, are also discussed. Lastly, the authors summarize future directions in the field of smoking cessation treatment for cancer patients.

EXPERT COMMENTARY

While there are areas of improvement in research of smoking cessation treatment for cancer patients, critical under-explored areas remain. Nonetheless, providers should adhere to the NCCN guidelines and offer a brief counseling intervention to motivate patients to quit smoking when appropriate resources are not available.

Pediatric Blood Cancer Survivors and Tobacco Use across Adolescence and Emerging Adulthood: A Narrative Review

Scholars underline the pivotal role of tobacco cigarette smoking in carcinogenesis process for blood tumors. A controversial debate is represented by the diffusion of tobacco use in young cancer survivors that had a previous diagnosis of blood tumor during the childhood. Compared with their peers, scientific evidence highlights that pediatric survivors have more difficult to give-up cigarette smoking. Furthermore, tobacco-smoking is frequently linked with others risk behaviors as drinking or substance abuse. In reviewing the main knowledge on this topic, authors affirm the need for increasing research on blood cancer survivors in order to depict psychological characteristics of pediatric blood cancer survivors. Improving health decision-making skills in young survivors could reduce the risk to adopt un-healthy behaviors and increase psychological wellbeing. Furthermore, authors propose tailored antismoking interventions based on the knowledge of the psychological and cognitive factors that support smoking during the transition toward emerging-adulthood.

Engagement in High-Risk Behaviors Among Young Adult Survivors of Childhood Cancer Compared to Healthy Same-Age Peers Surveyed in the National Longitudinal Study of Adolescent Health

PURPOSE

This secondary data analysis compared smoking rates, alcohol consumption, and binge drinking, and examined risk factors for engaging in these behaviors among 90 young adult-aged childhood cancer survivors (CSS) with 15,490 young adults in the general population.

METHODS

The sample was drawn from the National Longitudinal Study of Adolescent Health. The sampling distribution of these healthy matched young adults was estimated through the use of bootstrapping, which involved randomly repeated for 10,000 samples of healthy controls.

RESULTS

The findings of repeated sampling analysis revealed that CCS were more likely to smoke daily (34.5% vs. 20.6 healthy matched controls; p = 0.03). The proportion of respondents who had any signs of alcohol abuse symptoms was 72.2% of CCS compared with 81.1% of matched controls (p = 0.16), while CCS with severe alcohol abuse was 51.1% compared with 59.1% of matched controls (p = 0.28). Whether they engaged in binge drinking in the past 12 months was 43.3% for CCS and 46.4% for healthy respondents. Logistic regression analyses were performed to examine predictors of smoking, alcohol use, and binge drinking among CCS. Smoking was very strongly associated with optimism. An optimism score of one unit higher was associated with a 39% reduction in odds of smoking (odd ratio [OR] = 0.61, p < 0.0001). Black CSS were less likely to smoke (OR = 0.15, p < 0.05). CCS in good health were more likely to binge drink (OR = 3.67, p < 0.05).

CONCLUSIONS

Data generated from this secondary data analyses add to the evidence base about the engagement in high risk behaviors among young adult-aged CCS. These findings further emphasize the need for widespread, available effective theory-based screening guidelines and interventions.