Smoking patterns and the intention to quit in German cancer patients: a cross-sectional study.

BACKGROUND: Continued smoking after a cancer diagnosis can be associated with lower treatment tolerance, poorer outcomes, and reduced quality of life compared to non-smoking cancer patients or to those who have quit. Yet about 60% of patients continue to smoke after being diagnosed and find it difficult to quit. To address this problem, it is necessary to identify current and past smoking patterns (e.g., frequency of use, types of tobacco products) and determine whether there is motivation to quit. Similarly, factors associated with continued smoking should be identified. These data will provide the basis for the development of smoking cessation programs tailored to the needs of cancer patients. METHODS: A questionnaire was distributed to cancer patients older than 18 years in a German Comprehensive Cancer Center. Participating cancer patients were divided into three main groups: 1) patients who stopped smoking before being diagnosed with cancer (Ex-before); 2) patients who stopped smoking after a cancer diagnosis (Ex-after); and 3) patients who currently smoke cigarettes (CS). Sociodemographic, medical, and psychosocial data were collected, as well as smoking patterns and the motivation to quit smoking. RESULTS: About half of patients (51%) who smoked before diagnosis continue to smoke after a cancer diagnosis. Being diagnosed with a tobacco-related cancer type was associated with a decreased probability of continued smoking. Patients with tobacco-related tumors and receiving positive support in burdensome situations were more likely to have a higher cigarette dependence. Of all CS, 59.1% had intention to quit, and 22.7% reported having taken action to quit. The support by a smoking cessation program was considered important. CS were willing to spend up to €100 for support and were open to multiple sessions per week, group sessions, one-on-one sessions and/or online support. CONCLUSION: These findings underscore the importance of educating cancer patients about the consequences of smoking and to provide them with support to quit. Identified risk factors may further help to recognize cancer patients with high risk of continued smoking after diagnosis. TRIAL REGISTRATION: The study was registered at OSF ( https://osf.io/3c9km ) and published as a study protocol at " https://bmjopen.bmj.com/content/13/4/e069570 ".

Does breast cancer modify the long-term relationship between lifestyle behaviors and mortality? A prospective analysis of breast cancer survivors and population-based controls.

BACKGROUND: Modifiable lifestyle factors are known to impact survival. It is less clear whether this differs between postmenopausal women ever diagnosed with breast cancer and unaffected women. METHODS: Women diagnosed with breast cancer and unaffected women of comparable age were recruited from 2002 to 2005 and followed up until 2020. Using baseline information, a lifestyle adherence score (range 0-8; categorized as low [0-3.74], moderate [3.75-4.74], and high [≥4.75]) was created based on the 2018 World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) cancer prevention recommendations. Cox regression and competing risks analysis were used to analyze the association of adherence to WCRF/AICR lifestyle recommendations with overall mortality and with death due to cardiovascular diseases and cancer, respectively. RESULTS: A total of 8584 women were included (2785 with breast cancer and 5799 without). With a median follow-up of 16.1 years there were 2006 total deaths. Among the deaths of known causes (98.6%), 445 were cardiovascular-related and 1004 were cancer-related. The average lifestyle score was 4.2. There was no differential effect of lifestyle score by case-control status on mortality. After adjusting for covariates, moderate (hazard ratio [HR], 0.66; 95% confidence interval [CI], 0.57-0.76) and high (HR, 0.54; 95% CI, 0.47-0.63) adherence to WCRF/AICR lifestyle recommendations were significantly associated with a decrease in overall mortality. Similarly, in competing risks analysis, moderate and high adherence were associated with decreased mortality from cardiovascular diseases and from cancer. CONCLUSIONS: A healthy lifestyle can substantially reduce mortality risk in women. With low adherence to all WCRF/AICR guidelines in about a third of study participants, health interventions are warranted.

The impact of cardiovascular disease on all-cause and cancer mortality: results from a 16-year follow-up of a German breast cancer case-control study.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death worldwide. The aim of this study was to examine if CVD affects the mortality of women after a breast cancer diagnosis and population controls differently. METHODS: The analysis included a total of 3,555 women, diagnosed with primary stage 1-3 breast cancer or in situ carcinoma between 2002 and 2005 and 7,334 controls breast cancer-free at recruitment, all aged 50-74 years, who were followed-up in a German breast cancer case-control study until June, 30 2020. Kaplan-Meier and cumulative incidence function were calculated for all-cause mortality and mortality from any cancer, stratified for case-control status and CVD, separately for women aged < 65 and ≥ 65 years. Cox regression and Fine-Gray subdistribution hazard models were used to estimate hazard ratios (HR) and 95% confidence intervals (95% CI) for the association between case-control-status, CVD and mortality from all causes/any cancer. RESULTS: The median follow-up was 16.1 years. In total, 1,172 cases (33.0%) and 1,401 initial controls (19.1%) died. CVD prevalence at recruitment was 15.2% in cases and controls. Cases with CVD had the highest and controls without CVD the lowest mortality during the entire observation period in both age groups (< 65 and ≥ 65 years). CVD was identified as a risk factor for all-cause mortality in both cases and controls aged < 65 years (HR 1.22, 95%CI 0.96-1.55 and HR 1.79, 95%CI 1.43-2.24) as well as at ages of ≥ 65 years (HR 1.44, 95%CI 1.20-1.73 and HR 1.59, 95%CI 1.37-1.83). A significant association of CVD and cancer mortality was found only for cases aged ≥ 65 years. CONCLUSION: CVD was significantly associated with all-cause mortality of both cases and controls and CVD was identified as a risk factor for cancer mortality of cases aged ≥ 65 years at recruitment. Therefore, attention should be paid on monitoring and preventing CVD in breast cancer patients, especially in those diagnosed at older ages.

Smoking patterns and the intention to quit in German patients with cancer: study protocol for a cross-sectional observational study.

INTRODUCTION: Patients who continue to smoke cigarettes after a cancer diagnosis can experience poorer treatment tolerance and outcomes than those who quit immediately. Identifying risk factors specific to patients with cancer who smoke, as well as their smoking behaviours (eg, frequency of use, types of tobacco products), dependency level and quit intentions, is necessary to better inform patients and encourage quitting smoking after a cancer diagnosis. This study aims to examine the occurrence of smoking in patients with cancer treated at specialised oncology departments and outpatient clinics based within the metropolitan region of Hamburg, Germany, and presents an analysis of their smoking patterns. This understanding is the first step in developing an adequate smoking cessation intervention and shall contribute to a sustainable improvement in the treatment results, long-term survival and quality of life of patients with cancer. METHODS AND ANALYSIS: A questionnaire will be administered to patients with cancer (N=865) aged 18 years and above in the catchment area of Hamburg, Germany. Data acquisition includes sociodemographic, medical and psychosocial data as well as information on current smoking patterns. To identify the associations between smoking patterns and sociodemographic characteristics, disease-related variables, and psychological risk factors, descriptive statistics and multiple logistic as well as multinomial regressions will be performed. ETHICS AND DISSEMINATION: This study was registered at Open Science Framework (https://doi.org/10.17605/OSF.IO/PGBY8). It was approved by the ethics committee of the local psychological Ethic committee at the centre of psychosocial medicine Hamburg, Germany (LPEK) (tracking number: LPEK-0212). The study will be carried out in accordance with the Code of Ethics of the Declaration of Helsinki. The results will be published in peer-reviewed scientific journals.

Changes in cigarette smoking behavior among breast cancer and unaffected women - A prospective study in the MARIE cohort.

BACKGROUND: Smoking cessation after a cancer diagnosis can reduce adverse cancer treatment outcomes. Whether a breast cancer diagnosis, a cancer commonly seen as unrelated to smoking cigarettes, motivates changes in smoking behavior is not fully understood. We aimed to compare long-term changes at three follow-up times of cigarette smoking behavior in women with breast cancer and baseline age- and region-matched unaffected women. METHODS: We used longitudinal data from the population-based case-control study MARIE (Mamma Carcinoma Risk Factor Investigation). Women with breast cancer (N = 3813) and unaffected women (N = 7341) aged 50-74 years were recruited from 2002 to 2005. Analyses on changes in smoking were based on data from those who also completed follow-up 1 in 2009-2012, follow-up 2 in 2014-2016 and follow-up 3 in 2020. Multinomial logistic regression for changes (quitting, stable, or start smoking) adjusted for age, study region, education, comorbidities, living situation, and follow-up time, was applied to examine the associations between breast cancer status and changes in smoking behavior. RESULTS: Women with breast cancer had significantly higher odds than unaffected women of quitting smoking (OR = 1.38, 95 % CI: 1.01-1.89) and lower odds of returning to smoking (OR = 0.29, 95 % CI: 0.09-0.94) at follow-up 1, but were more likely to start or return to smoking at follow-up 2 (OR = 2.11, 95 % CI 1.08-4.15). No significant group differences were found for changes in smoking behavior at follow-up 3. CONCLUSION: Our findings indicate that short-term changes in smoking behavior can be attributed to a breast cancer diagnosis, but that over time the effect diminishes and changes in smoking no longer differ between breast cancer and breast cancer-free women. To support smoking cessation and to prevent relapse, guidelines to address smoking in cancer care, as well as comprehensive tobacco treatment services, are needed.

Trends and consumption patterns in the use of e-cigarettes among adolescents and young adults in Germany (the DEBRA study).

INTRODUCTION: Considering the growing popularity and rapid evolution of e-cigarettes, we examined e-cigarette use and tobacco smoking trends, and e-cigarette consumption patterns (i.e., device type, nicotine level) among adolescents and young adults in Germany. METHODS: Data from 26 waves of the German Study on Tobacco Use (DEBRA), a repeated cross-sectional nationwide household survey, were used to explore trends in the prevalence of ever e-cigarette use and tobacco smoking in a sample of adolescents (aged 14-17 years, N = 1,396) and young adults (aged 18-24 years, N = 4,685) between June/July 2016 and Aug/Sept 2020. Among current e-cigarette users (N = 208), consumption patterns were examined. Associations with e-cigarette use were analysed using multivariable regression. RESULTS: Adolescent e-cigarette use increased from 9.2% in 2016 to 16.5% in 2017, decreased in 2018 to 8.3% and then gradually increased to 13.4% by 2020. Adolescent tobacco smoking followed a similar trend. Young adult e-cigarette use rates remained relatively stable at 19.1% on average, while tobacco smoking slowly declined (2016: 44.7%, 2020: 38.5%). More than half of current e-cigarette users used refillable-style e-cigarettes (59.4% adolescents; 68.4% young adults) and also smoked tobacco (62.5% adolescents; 79.4% young adults). About 41.6% of adolescents and 56.0% of young adults vaped with nicotine. Among young adults, men (OR = 1.5; 95%CI: 1.3-1.8) and former (OR = 9.6; 95%CI: 1.1-13.1) and current (OR = 10.7; 95%CI: 8.7-13.2) tobacco smokers were more likely to have vaped. CONCLUSION: E-cigarette use continues to rise in German adolescents and young adults requiring targeted health interventions and campaigns aimed at preventing and/or reducing use in this population.

Psychosocial Risk and Health Behaviors as Predictors of Clinical Events in Patients Wait-Listed for a New Heart: Results from 7 Years of Follow-Up.

We examined the long-term relationship of psychosocial risk and health behaviors on clinical events in patients awaiting heart transplantation (HTx). Psychosocial characteristics (e.g., depression), health behaviors (e.g., dietary habits, smoking), medical factors (e.g., creatinine), and demographics (e.g., age, sex) were collected at the time of listing in 318 patients (82% male, mean age = 53 years) enrolled in the Waiting for a New Heart Study. Clinical events were death/delisting due to deterioration, high-urgency status transplantation (HU-HTx), elective transplantation, and delisting due to clinical improvement. Within 7 years of follow-up, 92 patients died or were delisted due to deterioration, 121 received HU-HTx, 43 received elective transplantation, and 39 were delisted due to improvement. Adjusting for demographic and medical characteristics, the results indicated that frequent consumption of healthy foods (i.e., foods high in unsaturated fats) and being physically active increased the likelihood of delisting due improvement, while smoking and depressive symptoms were related to death/delisting due to clinical deterioration while awaiting HTx. In conclusion, psychosocial and behavioral characteristics are clearly associated with clinical outcomes in this population. Interventions that target psychosocial risk, smoking, dietary habits, and physical activity may be beneficial for patients with advanced heart failure waiting for a cardiac transplant.

Changes in cannabis use, exposure, and health perceptions following legalization of adult recreational cannabis use in California: a prospective observational study.

BACKGROUND: Most U.S. states have legalized cannabis for medical and/or recreational use. In a 6-month prospective observational study, we examined changes in adult cannabis use patterns and health perceptions following broadened legalization of cannabis use from medical to recreational purposes in California. METHODS: Respondents were part of Stanford University's WELL for Life registry, an online adult cohort concentrated in Northern California. Surveys were administered online in the 10 days prior to state legalization of recreational use (1/1/18) and 1-month (2/1/18-2/15/18) and 6-months (7/1/2018-7/15/18) following the change in state policy. Online surveys assessed self-reported past 30-day cannabis use, exposure to others' cannabis use, and health perceptions of cannabis use. Logistic regression models and generalized estimating equations (GEE) examined associations between participant characteristics and cannabis use pre- to 1-month and 6-months post-legalization. RESULTS: The sample (N = 429, 51% female, 55% non-Hispanic White, age mean = 56 ± 14.6) voted 58% in favor of state legalization of recreational cannabis use, with 26% opposed, and 16% abstained. Cannabis use in the past 30-days significantly increased from pre-legalization (17%) to 1-month post-legalization (21%; odds ratio (OR) = 1.28, p-value (p) = .01) and stayed elevated over pre-legalization levels at 6-months post-legalization (20%; OR = 1.28, p = .01). Exposure to others' cannabis use in the past 30 days did not change significantly over time: 41% pre-legalization, 44% 1-month post-legalization (OR = 1.18, p = .11), and 42% 6-months post-legalization (OR = 1.08, p = .61). Perceptions of health benefits of cannabis use increased from pre-legalization to 6-months post-legalization (OR = 1.19, p = .02). Younger adults, those with fewer years of education, and those reporting histories of depression were more likely to report recent cannabis use pre- and post-legalization. Other mental illness was associated with cannabis use at post-legalization only. In a multivariate GEE adjusted for sociodemographic characteristics and diagnoses, favoring legalization and the interaction of time and positive health perceptions were associated with a greater likelihood of using cannabis. CONCLUSIONS: Legalized recreational cannabis use was associated with greater self-reported past 30-day use post-legalization, and with more-positive health perceptions of cannabis use. Future research is needed to examine longer-term perceptions and behavioral patterns following legalization of recreational cannabis use, especially among those with mental illness.

Integration of Tobacco Treatment Services into Cancer Care at Stanford.

As part of a National Cancer Institute Moonshot P30 Supplement, the Stanford Cancer Center piloted and integrated tobacco treatment into cancer care. This quality improvement (QI) project reports on the process from initial pilot to adoption within 14 clinics. The Head and Neck Oncology Clinic was engaged first in January 2019 as a pilot site given staff receptivity, elevated smoking prevalence, and a high tobacco screening rate (95%) yet low levels of tobacco cessation treatment referrals (<10%) and patient engagement (<1% of smokers treated). To improve referrals and engagement, system changes included an automated "opt-out" referral process and provision of tobacco cessation treatment as a covered benefit with flexible delivery options that included phone and telemedicine. Screening rates increased to 99%, referrals to 100%, 74% of patients were reached by counselors, and 33% of those reached engaged in treatment. Patient-reported abstinence from all tobacco products at 6-month follow-up is 20%. In July 2019, two additional oncology clinics were added. In December 2019, less than one year from initiating the QI pilot, with demonstrated feasibility, acceptability, and efficacy, the tobacco treatment services were integrated into 14 clinics at Stanford Cancer Center.

Women's Questions About Perinatal Cannabis Use and Health Care Providers' Responses.

Background: Cannabis use is common among individuals of reproductive age. We examined publicly posted questions about perinatal cannabis use and licensed United States health care provider responses. Materials and Methods: Data were medical questions on perinatal cannabis use posted online from March 2011 to January 2017 on an anonymous digital health platform. Posters were able to "thank" health care providers for their responses and providers could "agree" with other provider responses. We characterized 364 user questions and 596 responses from 277 unique providers and examined endorsement of responses through provider "agrees" and user "thanks." Results: The most frequent questions concerned prenatal cannabis use detection (24.7%), effects on fertility (22.6%), harms of prenatal use to the fetus (21.3%), and risks of baby exposure to cannabis through breast milk (14.4%). Provider sentiment in responses regarding the safety of perinatal cannabis use were coded as 55.6% harmful, 8.8% safe, 8.8% mixed/unsure, and 26.8% safety unaddressed. Half of providers (49.6%) discouraged perinatal cannabis use, 0.5% encouraged use, and 49.9% neither encouraged nor discouraged use. Provider responses received 1,004 provider "agrees" and 583 user "thanks." Provider responses indicating that perinatal cannabis use is unsafe received more provider "agrees" than responses indicating that use is safe (B = 0.42, 95% CI 0.02-0.82, p = 0.04). User "thanks" did not differ by provider responses regarding safety or dis/encouragement. Conclusion: The data indicate public interest in cannabis use effects before, during, and after pregnancy. While most health care providers indicated cannabis use during pregnancy and breastfeeding is not safe, many did not address safety or discourage use, suggesting a missed educational opportunity.

Online patient-provider cannabis consultations.

Cannabis has been legalized, decriminalized, or medicalized in over half the U.S. states. With restrictions on cannabis research, accepted standards to guide clinical practice are lacking. Analyzing online communications through a digital health platform, we characterized patient questions about cannabis use and provider responses. Coded for content were 4579 questions posted anonymously online between March 2011 through January 2017, and the responses from 1439 U.S. licensed clinicians. Provider responses to medical cannabis use questions were coded for sentiment: "negative", "positive", and "mixed." Responses could be "thanked" by patients and receive "agrees" from providers. The most frequent themes were detection of cannabis use (25.3%), health harms (19.9%), co-use with other substances (9.1%), and medical use (8.2%). The 425 medical cannabis use questions most frequently related to treatment of mental illness (20.3%), pain (20.0%), and cancer care (6.7%). The 762 provider responses regarding medical cannabis use were coded for sentiment as 59.6% negative, 28.6% mixed, and 11.8% positive. Provider sentiment was most positive regarding cannabis use for palliative care and most negative for treating respiratory conditions, poor appetite, and mental illness. The proportion of positive sentiment responses increased from 17.6% to 32.4%. Provider responses coded as negative sentiment received more provider "Agrees" (mean rank = 280) than those coded as positive (mean rank = 215), beta coefficient = 0.33; 95% CI: 0.05, 0.62; p = .02. Cannabis use is a health topic of public interest. Variability in provider responses reflects the need for more research and consensus building to inform evidence-based clinical guidelines for cannabis use in medicine.

Incidence of lung cancer histologic cell-types according to neighborhood factors: A population based study in California.

BACKGROUND: The relationships between neighborhood factors (i.e., neighborhood socioeconomic status (nSES) and ethnic enclave) and histologic subtypes of lung cancer for racial/ethnic groups, particularly Hispanics and Asian American/Pacific Islanders (AAPIs), are poorly understood. METHODS: We conducted a population-based study of 75,631 Californians diagnosed with lung cancer from 2008 through2012. We report incidence rate ratios (IRRs) for lung cancer histologic cell-types by nSES among racial/ethnic groups (non-Hispanic (NH) Whites, NH Blacks, Hispanics and AAPIs) and according to Hispanic or Asian neighborhood ethnic enclave status among Hispanics and AAPIs, respectively. In addition, we examined incidence jointly by nSES and ethnic enclave. RESULTS: Patterns of lung cancer incidence by nSES and ethnic enclave differed across race/ethnicity, sex, and histologic cell-type. For adenocarcinoma, Hispanic males and females, residing in both low nSES and high nSES neighborhoods that were low enclave, had higher incidence rates compared to those residing in low nSES, high enclave neighborhoods; males (IRR, 1.17 [95% CI, 1.04-1.32] and IRR, 1.15 [95% CI, 1.02-1.29], respectively) and females (IRR, 1.29 [95% CI, 1.15-1.44] and IRR, 1.51 [95% CI, 1.36-1.67], respectively). However, AAPI males residing in both low and high SES neighborhoods that were also low enclave had lower adenocarcinoma incidence. CONCLUSIONS: Neighborhood factors differentially influence the incidence of lung cancer histologic cell-types with heterogeneity in these associations by race/ethnicity and sex. For Hispanic males and females and AAPI males, neighborhood ethnic enclave status is strongly associated with lung adenocarcinoma incidence.

Smoking Status at Time of Listing for a Heart Transplant Predicts Mortality on the Waiting List: A Multicenter Prospective Observational Study.

OBJECTIVE: We examined the association of smoking status at time of listing with waitlist mortality among heart transplant (HTx) candidates. PARTICIPANTS AND DESIGN: Data were analyzed from 316 participants (aged 53 ± 11; 18% female) of the Waiting for a New Heart Study, a prospective observational study of patients newly listed for HTx at 17 hospitals. RESULTS: During the study period (April 2005 to March 2010), 14% of those who never smoked died, 18% among former smokers died, and almost half (42%) died among those who reported smoking at time of wait listing. Multivariate Cox regression models controlling for age, sex, and disease severity revealed smoking at time of listing was associated with significantly higher risk of mortality compared to never smoking (hazard ratio [HR] = 3.43; P = .03). The relationship between smoking and mortality risk appeared to follow a dose-dependent pattern: adjusted HRs were 1.80 for those who quit ≤1 year ago, 1.25 for those who quit >1 to 10 years ago, and 0.90 for those quit >10 years ago, compared to never smokers. Smoking at time of listing may increase risk of mortality during the waiting period, indicating the need for improved strategies to achieve smoking cessation as early as possible in the course of HTx.

Racial/ethnic and socioeconomic differences in short-term breast cancer survival among women in an integrated health system.

OBJECTIVES: We examined the combined influence of race/ethnicity and neighborhood socioeconomic status (SES) on short-term survival among women with uniform access to health care and treatment. METHODS: Using electronic medical records data from Kaiser Permanente Northern California linked to data from the California Cancer Registry, we included 6262 women newly diagnosed with invasive breast cancer. We analyzed survival using multivariable Cox proportional hazards regression with follow-up through 2010. RESULTS: After consideration of tumor stage, subtype, comorbidity, and type of treatment received, non-Hispanic White women living in low-SES neighborhoods (hazard ratio [HR] = 1.28; 95% confidence interval [CI] = 1.07, 1.52) and African Americans regardless of neighborhood SES (high SES: HR = 1.44; 95% CI = 1.01, 2.07; low SES: HR = 1.88; 95% CI = 1.42, 2.50) had worse overall survival than did non-Hispanic White women living in high-SES neighborhoods. Results were similar for breast cancer-specific survival, except that African Americans and non-Hispanic Whites living in high-SES neighborhoods had similar survival. CONCLUSIONS: Strategies to address the underlying factors that may influence treatment intensity and adherence, such as comorbidities and logistical barriers, should be targeted at low-SES non-Hispanic White and all African American patients.

Correlates and prevalence of menthol cigarette use among adults with serious mental illness.

INTRODUCTION: With a focus on protecting vulnerable groups from initiating and continuing tobacco use, the FDA has been considering the regulation of menthol in cigarettes. Using a large sample of adult smokers with serious mental illness (SMI) in the San Francisco Bay Area, we examined demographic and clinical correlates of menthol use, and we compared the prevalence of menthol use among our study participants to that of adult smokers in the general population in California. METHODS: Adult smokers with SMI (N = 1,042) were recruited from 7 acute inpatient psychiatric units in the San Francisco Bay Area. Demographic, tobacco, and clinical correlates of menthol use were examined with bivariate and multivariate logistic regression analyses, and prevalence of menthol use was compared within racial/ethnic groups to California population estimates from the 2008-2011 National Survey on Drug Use and Health. RESULTS: A sample majority (57%) reported smoking menthol cigarettes. Multivariate logistic regression analyses indicated that adult smokers with SMI who were younger, who had racial/ethnic minority status, who had fewer perceived interpersonal problems, and who had greater psychotic symptoms also had a significantly greater likelihood of menthol use. Smokers with SMI had a higher prevalence of menthol use relative to the general population in California overall (24%). CONCLUSIONS: Individuals with SMI-particularly those who are younger, have racial/ethnic minority status, and have been diagnosed with a psychotic disorder-are vulnerable to menthol cigarette use. FDA regulation of menthol may prevent initiation and may encourage cessation among smokers with SMI.

Lung cancer incidence trends by histology type among Asian American, Native Hawaiian, and Pacific Islander populations in the United States, 1990-2010.

BACKGROUND: Lung cancer is one of the leading cancer sites diagnosed among Asian Americans, Pacific Islanders, and Native Hawaiians (AANHPI). To better understand the patterns of lung cancer incidence among AANHPIs, we examined the incidence trends of five histologic cell types of lung cancer across ten AANHPI populations in comparison with non-Hispanic Whites. METHODS: Lung cancer incidence data from 1990 through 2010 were obtained from 13 U.S. population-based cancer registries. Age-adjusted histologic cell-type-specific incidence rates and 95% confidence intervals were calculated. Joinpoint regression models and annual percentage change (APC) statistics were used to characterize the magnitude and direction of trends. RESULTS: From 1990 through 2010, incidence rates of adenocarcinoma increased significantly for Filipino and Korean women with a 2.6% and 3.0% annual percentage increase, respectively. More recently, a significant rise in the incidence of adenocarcinoma was observed for Chinese men (1996-2010; APC = 1.3%). Squamous cell carcinoma (SCC) increased 2.4% per year among Japanese women. For SCC, small cell lung carcinoma, large cell and other specified carcinoma, and unspecified types, stable or decreasing trends were observed in most AANHPI groups and non-Hispanic Whites. CONCLUSIONS: AANHPIs demonstrate a range in the burden of lung cancer across histologies and specific populations. IMPACT: These findings illustrate the importance of disaggregating AANHPIs into their specific populations. The rise in incidence of adenocarcinoma and SCC among certain AANHPIs demonstrates the need for research into non-tobacco associated risk factors for these populations and targeted efforts for tobacco prevention.

Maximizing retention with high risk participants in a clinical trial.

PURPOSE: To describe effective retention strategies in a clinical trial with a high risk, low-income, and vulnerable patient population with serious mental illness. DESIGN: Follow-up assessments were conducted for a randomized clinical tobacco treatment trial at 3, 6, and 12 months postbaseline. Initial follow-up rates of <40% at 3 months led to implementation of proactive retention strategies including obtaining extensive contact information; building relationships with case managers and social workers; contacting jails and prisons; text messaging, e-mailing, and messaging via social networking sites; identifying appointments via electronic medical record; and field outreach to treatment facilities, residences, and parks. SETTING: Large urban public hospital. SUBJECTS: Participants were current smokers recruited from 100% smoke-free locked psychiatry units. MEASURES: Assessments covered demographics, substance use, and mental health functioning. ANALYSIS: Retention rates were plotted over time in relation to key retention strategies. Chi-square and t-tests were used to examine participant predictors of retention at each follow-up. At the 12-month follow-up, the retention strategies that most frequently led to assessment completion were identified. RESULTS: The sample (N = 100) was 65% male; age x = 39.5 years (SD = 11.3); 44% non-Hispanic white; 46% on Medicaid and 34% uninsured; 79% unemployed; and 48% unstably housed. Proactive retention strategies dramatically increased follow-up rates, concluding at 3 months = 82.65%, 6 months = 89.69%, and 12 months = 92.78%. Married and divorced/separated/widowed participants, those with higher income, and participants with alcohol or illicit drug problems had increased retention from 3- to 12-month follow-up. CONCLUSION: Follow-up rates improved as proactive methods to contact participants were implemented. Dedicated research staff, multiple methods, community networking, and outreach within drug treatment settings improved retention.

Medical students' attention to multiple risk behaviors: a standardized patient examination.

BACKGROUND: Risk behaviors tend to cluster, particularly among smokers, with negative health effects. To optimize patients' health and wellbeing, health care providers ideally would assess and intervene upon the multiple risks with which patients may present. OBJECTIVE: This study examined medical students' skills in assessing and treating multiple risk behaviors. DESIGN: Using a randomized experimental design, medical students' counseling interactions were evaluated with a standardized patient presenting with sexual health concerns and current tobacco use with varied problematic drinking status (alcohol-positive or alcohol-negative). PARTICIPANTS: One hundred and fifty-six third-year medical students. MAIN MEASURES: Student and standardized patient completed measures evaluated student knowledge, attitudes, and clinical performance. KEY RESULTS: Overall, most students assessed tobacco use (85%); fewer assessed alcohol use (54%). Relative to the alcohol-negative case, students seeing the alcohol-positive case were less likely to assess sexually transmitted disease history (80% vs. 91%, p = 0.042), or patients' readiness to quit smoking (41% vs. 60%, p = 0.025), and endorsed greater attitudinal barriers to tobacco treatment (p = 0.030). Patient satisfaction was significantly lower for the alcohol-positive than the alcohol-negative case; clinical performance ratings moderated this relationship. CONCLUSIONS: When presented with a case of multiple risks, medical students performed less effectively and received lower patient satisfaction ratings. Findings were moderated by students' overall clinical performance. Paradigm shifts are needed in medical education that emphasize assessment of multiple risks, new models of conceptualizing behavior change as a generalized process, and treatment of the whole patient for optimizing health outcomes.